Next Article in Journal
The Deubiquitinating Enzyme USP20 Regulates the TNFα-Induced NF-κB Signaling Pathway through Stabilization of p62
Previous Article in Journal
Binder-Free α-MnO2 Nanowires on Carbon Cloth as Cathode Material for Zinc-Ion Batteries
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Microbes and Cancer: Friends or Faux?

by
Maria Manuel Azevedo
1,2,3,*,
Cidália Pina-Vaz
1,2 and
Fátima Baltazar
4,5,6
1
Department of Microbiology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
2
CINTESIS, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
3
Agrupamento de Escolas D. Maria II, 4760-067 V.N. Famalicão, Portugal
4
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
5
ICVS/3B’s—PT Government Associate Laboratory, 4710-057 Braga, Portugal
6
ICVS/3B’s—PT Government Associate Laboratory, 4835-258 Guimarães, Portugal
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(9), 3115; https://doi.org/10.3390/ijms21093115
Submission received: 22 January 2020 / Revised: 23 April 2020 / Accepted: 26 April 2020 / Published: 28 April 2020
(This article belongs to the Section Molecular Oncology)

Abstract

:
Cancer is one of the most aggressive and deadly diseases in the world, representing the second leading cause of death. It is a multifactorial disease, in which genetic alterations play a key role, but several environmental factors also contribute to its development and progression. Infections induced by certain viruses, bacteria, fungi and parasites constitute risk factors for cancer, being chronic infection associated to the development of certain types of cancer. On the other hand, susceptibility to infectious diseases is higher in cancer patients. The state of the host immune system plays a crucial role in the susceptibility to both infection and cancer. Importantly, immunosuppressive cancer treatments increase the risk of infection, by decreasing the host defenses. Furthermore, alterations in the host microbiota is also a key factor in the susceptibility to develop cancer. More recently, the identification of a tumor microbiota, in which bacteria establish a symbiotic relationship with cancer cells, opened a new area of research. There is evidence demonstrating that the interaction between bacteria and cancer cells can modulate the anticancer drug response and toxicity. The present review focuses on the interaction between microbes and cancer, specifically aiming to: (1) review the main infectious agents associated with development of cancer and the role of microbiota in cancer susceptibility; (2) highlight the higher vulnerability of cancer patients to acquire infectious diseases; (3) document the relationship between cancer cells and tissue microbiota; (4) describe the role of intratumoral bacteria in the response and toxicity to cancer therapy.

1. Introduction

Cancer is one of the most prevalent diseases, representing the second leading cause of death worldwide [1,2], with approximately 18.1 million new cases and 9.6 million cancer related deaths estimated in 2018 [3]. Apart from this, it is associated with relevant social and economic burdens. In the present decade, cancer survivors in the United States increased from 13.8 to 18.1 million and the associated healthcare costs from $125 to $158 billion [4].
Cancer is considered not one disease but several diseases. The diversity of malignant tumors is substantial; with more than 250 clinico-pathological types and thousands of varieties of neoplasias described [5,6]. In addition, cells of the same tumor are generally morphologically, phenotypically and genetically heterogeneous. Furthermore, treatment can also induce cell diversification in metastases and recurrent lesions [5,6], rendering it very difficult to successfully eliminate malignant tumors. Cancer is also a multifactorial disease, resulting from a combination of genetic and environmental factors, which also contributes to tumor heterogeneity.
Infections induced by certain viruses, bacteria or fungi constitute risk factors for cancer development. Globally, 15% of cancers are a result of infection with oncogenic pathogens [7] and, in some cases, co-infection with different agents is known to increase the risk of cancer development [7]. Thus, the study of the mechanisms of infection-mediated cancer is of particular interest, aimed at both preventing cancer and improving current treatments. The main agents in terms of cancer burden are: Helicobacter pylori (5%), human papilloma viruses (HPV) (5%), hepatitis B (HBV) and C viruses (HCV), (5%), Epstein–Barr virus (EBV) (1%), and human immunodeficiency virus (HIV) plus human herpes virus (HSV) (1%) [8]. Cancer associated viruses can be acquired in utero, during infancy, early childhood or adolescence, but these agents have long latency periods before inducing carcinogenesis. On the other hand, the susceptibility to infectious disease is higher in cancer patients. That is—cancer is a double-edged sword. Chemotherapy is one of the most effective treatments for metastatic cancers [9]; however, some cancer therapies are also carcinogenic. Cancer therapy can change the host microbiota, increasing the susceptibility to infection, due to immunosuppression, and may increase the risk for cancer development. Finally, tumor microbioma has been associated with resistance to chemotherapy.
This manuscript focuses on:
(1)
The relationship between infection and cancer;
(2)
The susceptibility of cancer patients to acquire infectious disease(s);
(3)
The role of the microbiota in cancer susceptibility;
(4)
The role of tumor microbioma in cancer therapy.

2. Infection and Cancer

The human organism contains more than 100 trillion microorganisms and these organisms play a significant role in human health and disease [10]. Nevertheless, only 10 species were identified by the International Agency for Cancer Research (IARC) as carcinogenic agents to humans [11]. These pathogenic microorganisms infect a great percentage of humans. However, most of these individuals do not develop cancer, since both the host characteristics and the microbial genotypes influence the susceptibility to develop cancer.
Human microbiome disruption is associated with different types of cancer, including gastric, colorectal, pancreatic and breast cancer. Moreover, the human body can be infected by innumerable environmental microorganisms, and cancers could be induced by bacteria, virus and fungi. In particular, human oncoviruses can drive carcinogenesis by integrating oncogenes into the host genome.

2.1. Viral Infections

According to recent publications, oncoviruses are responsible for nearly 12% of human cancers and are important factors in the activation of oncogenesis [12]. Oncoviruses play a major role in both the initiation and progression of cancer. DNA from certain oncogenic viruses can be integrated into the host genome, leading to the production of viral oncoproteins, which can subsequently inactivate tumor suppressor genes or activate oncogenes [12].

2.1.1. Epstein–Barr Virus (EBV)

EBV was the first human virus directly implicated in carcinogenesis, and accounts for 1.8% of all cancer-related deaths worldwide [13]. EBV is essentially a B-lymphotropic agent, being associated with malignancies of B-cell origin. This virus is a main actor in the development of a wide range of cancers, both in immunocompetent and immunocompromised individuals. It is a ubiquitous gamma herpesvirus that persists for life and infects 90% of the population, in general without consequences in terms of health. Despite this fact, EBV is linked to several well-recognized malignancies, such as Burkitt’s lymphoma and nasopharyngeal carcinoma [14]. EBV transmission occurs via saliva and/or oral contact and genital secretions [15] (Figure 1).
Burkitt lymphoma is the greatest common form of non-Hodgkin Lymphoma in children and adolescents [16]. It is a highly aggressive and, often, life-threatening disease [17,18]. There is a geographical association with early EBV infection and Burkitt lymphoma pathogenesis (Figure 1). In the USA, 15–30% of the cases of sporadic Burkitt lymphoma are associated with EBV infections [19]. Importantly, the incidence of sporadic Burkitt lymphoma increases significantly when associated with HIV infections [20]. Carbone and co-workers reported that about 30%-50% of HIV-associated cases of Burkitt lymphoma are EBV positive [21]. In addition, lymphoproliferative Burkitt lymphoma disorder is reported to occur after organ transplant [22]. In light of this information, EBV monitoring may be important after transplant.
EBV is also associated with malignancies of epithelial origin, namely nasopharyngeal carcinoma (NPC). Nasopharyngeal carcinoma (NPC) is an infrequent disease and a unique squamous cell carcinoma of the head and neck [23] (Figure 1) (Table 1). In 2008, ~84,400 cases and 51,600 deaths from NPC were reported globally [24]; however, the geographic distribution is irregular. NPC is endemic in Southern Asia, and its etiology is strongly associated with EBV infection [25]. Some studies advocate that HPV may also be important in NPC progression [26].
Furthermore, EBV is associated with smooth muscle tumors. These are rare neoplasms that can occur in various anatomical locations, mainly in immunocompromised patients. The clinical signs are variable according to the size and organ affected [27]. The association of HBV with other varieties of cancer has been confirmed, including pancreatic [28], biliary tract [29] and breast cancer [30] (Figure 1) (Table 1).

2.1.2. Human Papillomavirus (HPV)

According to the World Health Organization (WHO) [30,31], around 5% of cancers are instigated by HPV infections [8,32] (Figure 1). HPV infection is a global public health problem with great rates of transmission from mother to child, and it is highly associated with cervical, vaginal, vulvar, anal, rectal, penile and oropharyngeal cancers [33] (Table 1).
HPV infection is the most common sexually transmitted disease in the United States and Europe, with HPV16 and HPV18 being the higher-risk HPV types [33,34]. This infection is transmitted through genital or skin-to-skin contact and it is frequent in young women after the onset of sexual activity [35]. In light of this, the majority of the developed countries have implemented vaccination against HPV before initiation of sexual life. It is reported that 75% of sexually active woman will be infected by one or more types of HPV throughout their life. If infection persists, the viral oncoproteins can induce perturbation of the cell-cycle, resulting in cervical intraepithelial neoplasia. In the beginning, these lesions are generally no more than manifestations of HPV infection, but the risk of progression to cancer is higher if not detected and treated on time. Conversely, the evolution to cancer is slow, thus allowing the opportunity for detection. The incidence peak of cancer occurs around the age of 40 and can occur in 3–5% of women who acquire a high-risk HPV infection.
A data analysis from women displaying HPV positive test results suggests that the majority have limited knowledge about HPV. A survey conducted in the United Kingdom showed that only 2.5% of British women (n = 1620) identified HPV as the cause of cervical cancer [36]. Thus, several studies underline the importance of providing trustworthy information about HPV infection to women in general [37,38]. In light of this situation, health education on this subject should be a priority.
In 2012, a study by Torre and co-workers estimated that, globally, more than half a million of new cervical cancer cases emerged, and this disease was responsible for 266,000 deaths [39]. In the developing world, cervical cancer is the most commonly diagnosed cancer and the third leading cause of cancer-related death among females [39] (Figure 1). HPV infects keratinocytes in the mucosa, and persistent infection may lead to premalignant lesions and invasive cancer, especially cervical cancer. Nevertheless, screening for cervical cancer precursors by cytology has been very successful in developed countries, with mortality reductions of about 50% [40].

2.1.3. Hepatitis Virus: B (HBV) and C Virus (HCV)

Both HBV and HCV are transmitted through exposure to body fluids of infected individuals. HBV infection is considered a global public health problem, due to the high rates of transmission from mother to child [41]. Chronic HBV infection is associated with hepatocellular cancer (HCC) (Figure 1). It has been described that 4% of untreated patients with HBV infection develop HCC [42]. About 80% of the HCC cases are linked to chronic infections with either HBV or HCV, and both viruses have been classified by the IARC as human carcinogens. It is estimated that HBV and HCV cause 50–55% and 25–30% of all HCC, respectively [43]. However, the mechanisms of carcinogenesis and/or cancer progression remain to be fully elucidated for both viruses [44,45].
More recently, HBV has been linked to other kinds of cancers such as non-Hodgkin lymphoma [46], pancreatic cancer [28], biliary tract cancer [29] and breast cancer [30] (Figure 1) (Table 1). Likewise, HCV infection constitutes a risk factor, not only for HCC but, also, for non-Hodgkin lymphoma and B-cell non-Hodgkin lymphoma [47,48]. Other studies have shown a possible association between HCV infection and both thyroid [49] and liver cancer [50] (Table 1).

2.1.4. Human Immunodeficiency Virus (HIV)

Human immunodeficiency virus (HIV) infection is linked with acquired immune deficiency syndrome (AIDS). Currently available epidemiologic and phylogenetic analyses imply that HIV was introduced into the human population around 1920 to 1940. HIV is classified into type 1 and 2 (HIV-1, HIV-2), with evidence showing that HIV-1 evolved from non-human primate immunodeficiency viruses from Central African chimpanzees (SIVcpz) and HIV-2 from West African sooty mangabeys (SIVsm) [51,52,53].
Kaposi sarcoma (KS) is the most frequent neoplasm among patients living with HIV infection [54] (Figure 1) (Table 1). KSHV, also called herpesvirus-8, was discovered in 1994, with its prevalence differing deeply among populations. Some types of KS are related with immune suppression [55]. For instance, HIV is considered a crucial cofactor in KS pathogenesis, as it was demonstrated that the employment of antiretroviral therapy reduces KS incidence [56]. The presentation of this disease varies from cutaneous limited lesions to fulminant disease involving several organs. It is noteworthy that patients infected with HIV are also at higher risk of developing secondary cancers due to chronic immunosuppression. Additionally, the risk of anal, liver, lung, oropharyngeal cancers, and NHL and Hodgkin’s lymphoma (HL) is remarkably higher in HIV-infected patients compared to the general population [57], as shown in studies from the United States (Figure 1). Reporting to the time period between 1981–1995, an important database indicates that patients infected with both HIV infection and KS positive (HIV-KS patients) were at a 198-fold higher risk of developing non-Hodgkin’s lymphoma (NHL), compared to the general population of the United States [58] (Figure 1).
Not only HIV positive individuals can present KS; immunocompromised people infected with KS-associated herpesvirus (KSHV), aging people, children in KSHV-endemic areas and patients submitted to transplants are also at risk [59].

3. Bacterial Infections

3.1. Helicobacter pylori (H. pylori)

H. pylori infects more than 50% of the world’s population [60], rendering it the most frequent infection in the world [61]. It is the most central factor of gastric cancer (GC) risk (Figure 1) (Table 1); due to its characteristics, H. pylori is able to adapt to the extreme acidic conditions of the stomach, to establish infection and disturb host mucosa homeostasis, resulting in gastric pathogenesis and ultimately cancer [61].
The frequency of infected people may somehow be related to race. The prevalence is about 60% of Hispanics, 54% of African Americans and 20–29% of White Americans. H. pylori infections are typically developed during childhood and usually remain latent for decades. This bacterium stimulates the production of interleukins 1β (IL-1β), 2 (IL-2), 10 (IL-10), 12 (IL-12), interferon (IFN) and tumour necrosis factor (TNF) as the gastric immune response. The inflammation induced by H. pylori infection leads to high gastric endothelial cell turnover. Deregulation, particularly in association with more virulent strains of H. pylori, can trigger GC. H. pylori and can also induce atrophy of the gastric mucosa and impaired acid secretion. The atrophy of the gastric mucosa can lead to molecular and phenotypic changes causing cancer [62]. A study conducted in California revealed that 3% of patients with gastric intestinal metaplasia (GIM) developed gastric cancer in a period of 4.6 years after diagnosis. Discrepant results have been published concerning the link between H. pylori and other gastrointestinal cancers, including pancreatic cancer [63].
Epidemiological studies confirm that the eradication of H. pylori prevents gastric carcinogenesis and mild gastritis [64]. Current studies also demonstrate that combined primary (H. pylori eradication), and secondary (mainly endoscopy) measures may prevent, or limit, the development of gastric oncogenesis [62]. The effectiveness of gastroprotective drugs has also been shown in the prevention of gastric cancer in patients, with or without H. pylori infection [65]. The development of GC constitutes a multifaceted cascade of events, characterized by interactions between H. pylori, host and environmental factors [66]. Gastric microbiome can constitute a marker of host health, and influences the inflammatory response of upper gastrointestinal cancers [67].
It is important to reinforce that, despite all the advances in the surgical techniques and chemotherapy, there is still no cure for GC [68]. Gastric cancer occurrence and mortality remain extremely high in East Asia, Latin America and Eastern Europe, and within specific groups in the USA [69,70]. It represents the fourth leading cause of cancer deaths worldwide [67], with a 5-year overall survival rate at less than 30% [62]. In 2018, data registries from 185 countries worldwide indicated about 1 million new cases of GC (5,7% of all cancers) and 800,000 deaths (8,2% of all cancers) [3].
It is important to highlight that sanitation, hygiene, clean water provision, and improvements in food preservation, variety, and availability, contributed significantly to the decrease in GC incidence [69,70]. In terms of education, literature reviews highlight the lack of studies evaluating public awareness of H. pylori infection, particularly among populations at an increased risk for GC [71]. Thus, it is crucial to educate the population for the risk factors related with this type of infection.

3.2. Fungal Infections

Several publications link the presence of fungal infections with a higher risk of developing cancer. Some strains of filamentous fungi, including Aspergillus flavus, Aspergillus parasiticus and Aspergiluls nomiusm, produce aflatoxins able to induce liver cancer [72] (Table 1). According to Sohrabi and collaborators, the tumor burden increases significantly after infection with Aspergillus [73] (Figure 1).
Other studies indicate that yeast infections are also associated with a higher risk of cancer and are able to promote cancer progression; such is the case of opportunistic Candida albicans infections [74,75]. Specifically, the role of Candida infections has been demonstrated in lung cancer and it has been documented as a risk factor for development of oral carcinoma [76] (Figure 1). There are several mechanisms pointed out by which C. albicans can promote cancer, such as (i) production of carcinogens like acetaldehyde, (ii) induction of inflammation, (iii) molecular mimicry and (iv) Th17 response [77].

3.3. Helminth Infections

Helminths include free-living and parasitic Platyhelminthes and Nematoda, which infect millions of people worldwide. Some Platyhelminth species of blood (Schistosoma haematobium, Schistosoma japonicum, and Schistosoma mansoni) and liver (Clonorchis sinensis and Opisthorchis viverrini) flukes are known to be involved in human cancers (Figure 1). Metagenomic studies with microbiomes have been undertaken, revealing that parasitic infections lead to inflammation and disease development, which results from the interaction of helminth with the host, potentially inducing such processes [78,79,80,81,82]. Phylogenetics and molecular evolution studies may contribute to identify Helminth and human biomarkers in different types of cancers, further providing a robust framework for the functional prediction and rational design of their experimental characterization. These approaches may contribute to improve personalized treatment to avoid cancer progression and drug resistance.

3.4. Schistosoma haematobium (S. haematobium)

Schistosomiasis is endemic in 78 countries [83], and infection with S. haematobium reflects the high burden of the disease in parts of Northern and sub-Saharan Africa [8]. Epidemiological studies suggest the association between S. haematobium infection and the onset of bladder cancer [84] (Figure 1) (Table 1). In Western countries, the peak incidence of bladder cancer occurs in the sixth or seventh decade of life, and only 12% of cases occur in people under 50 years of age [85,86].
Parasite eggs are deposited in the bladder, which causes an intense inflammatory reaction. These inflammatory conditions could promote premalignant lesions, which could be followed by malignant transformation of the urothelium [87,88]. Exposure to the parasite can result from the fecal or urinary contamination of freshwater which comes into contact with the human skin. Accordingly, populations with adequate sanitation have significantly lower levels of Schistosoma infections [89]. A recent systematic review and meta-analysis demonstrated the relationship between adequate sanitation and good hygiene with lower schistosomiasis infection [90]. Additionally, the use of soap when bathing may also protect from schistosome infection [91,92].
Botelho and co-workers have shown that exposure to the total antigen of S. haematobium increased the proliferation rate of normal urothelial cells. Additionally, intravesical administration of the same antigen in murine models leads to the development of dysplastic lesions, suggesting that this antigen may be associated with the cancerization process [93,94]. The degree of intensity of this infection plays an important role in the induction of different types of carcinoma of the bladder. Squamous cell carcinoma is generally associated with a high to moderate parasitic load, whereas urothelial carcinoma occurs more frequently in areas associated with lower rates of infection.

4. Susceptibility of Cancer Patients to Acquire Infectious Diseases

4.1. Bacterial Infections

The functions of the immune system are organized in order to maintain a balance with the microbiota and to fight against most microbial invasions. In contrast, in immunocompromised patients induced by immunosuppressive treatments, including cancer chemotherapy, these functions are impaired and individuals are at an increased risk of infection. Chemotherapy is one of the most effective treatments for metastatic cancers [9]; however, these cancer therapies change the interactions between the host and microbiota. In patients with solid tumors, the usual infection sites include the skin and skin structures (including surgical site infections), the bloodstream (including infections associated with central venous catheters), the lungs, the hepato-biliary and intestinal tracts, and the urinary tract [95].
Tumor metastases leading to vessel obstruction and surgical procedures with disruption of anatomic barriers may be implicated in cancer patient infections. Cases of pneumonia in children have been reported to be associated with pulmonary metastases [96]. This kind of infection usually responds poorly to antibiotic therapy. Biliary tract obstruction secondary to cancer can also result in ascending cholangitis [97]. Similarly, urinary tract infections are frequent in patients with bladder or prostatic tumors. Additionally, patients with cancer develop bacterial infections frequently, especially, but not exclusively, during episodes of neutropenia [98].
Cancer is also associated with Mycobacterium tuberculosis and other mycobacterial infection. Patients with cancer constitute a group at increased risk to develop tuberculosis [99]. Particularly, hematologic cancer patients present the maximum rates of active tuberculosis, followed by head and neck cancers, lung cancer, and breast cancer. This fact is likely related to intrinsic immunosuppression induced by the cancer itself, the immunosuppressive effects of chemotherapy, or other host factors that may increase the susceptibility to both cancer and tuberculosis.

4.2. Fungal Infections

Cancer individuals treated with chemotherapy and other immunocompromised patients, such as after hematopoietic stem cell/organ transplantation or AIDS patients, have an increased risk of acquiring invasive fungal infections (IFI). Approximately 1.2 billion individuals worldwide suffer from fungal infections, and the occurrence of these infections has significantly increased in recent years, due to a rise in the number of immunocompromised patients [100,101,102]. IFI are a major cause of morbidity and mortality in neutropenic cancer patients, in those with acute leukemia and in hematopoietic stem-cell transplantations. Although uncommon pathogens, including non-fumigatus Aspergillus species, Zygomycetes and Fusarium, have emerged, most IFI are caused by Candida species and Aspergillus fumigatus [103,104]. Candida spp. constitutes the most common agent related to both fungal and fungal biofilm infections [105]. The prevalence of candidiasis in hospitals has increased due the use of catheters and immunosuppressive treatments, such as chemotherapy [106,107]. In cancer patients, candidemia may vary according to the type of cancer [108]. On the other hand, Ramirez-Garcia and collaborators reveal that C. albicans infection increases the risk of carcinogenesis and metastasis [77].
Concerning Aspergillus, the most frequent species involved in IFI in neutropenic patients are A. fumigatus, A. terreus and A. flavus, however new species are emerging [109,110]. The incidence of invasive aspergillosis infections may be as high as 10%–20% in patients undergoing gallogeneic haematopoietic stem-cell transplantations [111]. Invasive pulmonary aspergillosis, caused by several Aspergillus species, is an important cause of morbidity and mortality in cancer, transplanted, and other patients with immunodeficiency [112,113,114]. Mortality rates with these infections range from 20% to 47% despite prophylaxis with use of new antifungal agents active against molds [115]. Moreover, the clinical diagnosis of these infections is challenging, often being misdiagnosed as bacterial infections, which can have fatal consequences [116,117]. Infection with Fusarium species are relatively rare, but significant in immunocompromised patients. Disseminated infection with Fusarium is seen in patients with prolonged neutropenia after chemotherapy. The prognosis of disseminated disease with neutropenia is very poor, with almost 100% mortality [118].
Mucormycoses, induced by Mucorales, are significant IFI developed in patients with hematologic malignancies and among host recipients of solid organ transplants [119]. This infection is also associated with considerable mortality rates.
It has been advocated that early treatment of IFIs is a crucial factor in improving health outcomes; however, antifungal treatment is frequently delayed, due to diagnostic challenges related with the non-specific symptoms of IFIs. Moreover, there are several apprehensions with regard to prophylaxis, including the high costs, toxicity and emergence of drug resistance [120].

5. Tissue Microbioma and Cancer Susceptibility

Studies on the role of microbiota in cancer are at their infancy, but data show that microbiota may influence carcinogenesis and response to cancer therapy. A large quantity of studies on human microbiome demonstrate that the microbiota varies from healthy to diseased persons. An altered microbiome can lead to gene overexpression, which may be associated with complex diseases including cancer. In the human body, the microbiota of each organ varies among individuals, and their effect on carcinogenesis is also distinctive in each organ.
According to Garrett [121], microbiota could contribute to carcinogenesis by altering the balance between the host cell proliferation and death (by changing the immune system and influencing metabolism). Mucosal surface barriers permit host-microbial symbiosis [122], however cancer could arise when mucosal surface barriers are disrupted and microorganisms and immune systems are present in places and assemblages for which they have not coevolved. After rupture of these barriers, microbes can modulate the immune responses in evolving tumor microenvironment by eliciting proinflammatory or immunosuppressive programs [121]. The resulting production of reactive oxygen and nitrogen species, cytokines, and chemokines can contribute to tumor growth and spread. On the other hand, microorganisms participate in host metabolic activities, and their metabolites can induce inflammatory processes, interfering in the balance of tissue cell proliferation and death [123]. The arising of cancer in some locations could be induced by microbial dissimilarities, such as the greater vulnerability to cancer in the large intestine due to the higher microorganism density when compared to the small intestine [124]. Thus, the microbiota of each organ of the human body is different, and their effect on inflammation and carcinogenesis are also distinct in each organ.
Dysbiosis as a result of cancer-induced immunodeficiency, chemotherapy treatment regimens or antibiotic use, could also raise the risk of bloodstream and Clostridium difficile infections, by disrupting the gut microbiome’s ability to resist pathogen colonization or by weakening the intestinal barrier. Tai and co-workers described that the frequency rate of Clostridium difficile infections in hospitalized oncologic children was over 15 times higher compared to those without cancer [125]. Another study demonstrated that pediatric oncology patients with acute lymphoblastic leukemia, under several circles of therapy, showed reduced microbial diversity [126]. Wang and co-workers also found reduced diversity and abundance of oral microbiome in patients with acute lymphoblastic leukemia [127].
Microbiota uses crucial mechanisms such as inflammation, metabolism and genotoxicity to modulate carcinogenesis [128]. Current studies also demonstrate that the gut microbiome may affect the response to cancer therapy, by modulating the inflammatory response of the host. The metabolic activity of microorganisms could activate, disable or increase, treatment toxicity. A study from 1993 reported the capacity of the microbiome to interfere with medicines in a group of Japanese who developed Herpes zoster while suffering from cancer. Herpes zoster medication was transformed by the normal digestive microbiota into a component that made the medication to treat cancer lethally toxic. In this line of evidence, Karin and co-workers stated that an intact microbiome is needed for the successful control of tumor progression [129].

5.1. Breast Cancer

As stated above, cancer can be associated with the specific microbial environment in the tissue of origin. A recent study reported that the microbiome found in breast tissue varies between women with and without breast cancer [130] (Figure 2). The researchers detected higher levels of Bacillus, Enterobacteriaceae, Staphylococcus, Comamonadaceae and Bacterioidetes in women cancer samples and, in contrast, healthy breast tissue revealed higher levels of Prevotella, Lactococcus, Streptococcus Corynebacterium and Micrococcus species [130]. A study conducted by Hieken and collaborators [131] detected high levels of phyla Firmicutes, Actinobacteria, Bacteroidetes, and Proteobacteria in healthy breast tissues, compared to breast cancer tissues where a lower abundance of Fusobacterium, Atopobium, Gluconacetobacter, Hydrogenophaga and Lactobacillus genera were found. Another study on breast cancer also showed distinct microbial communities between normal and cancer breast tissues. The malignancy is associated with enrichment in the genera Fusobacterium, Atopobium, Gluconacetobacter, Hydrogenophaga and Lactobacillus [131].
This fact raises an important issue: can women modulate their breast microbiome in order to prevent high levels of E. coli or S. aureus colonization? Some studies revealed that drinking fermented products, such as kefir, is associated with lower risk of breast cancer. Other studies using animal models showed that orally ingested Lactobacillus could have a protective role against breast cancer development [130]. In light of this, upcoming studies are needed to demonstrate the role of probiotics as a preventive measure against breast cancer.
Furthermore, it has been emphasized that estrobolome (hormone-related microbiome) bacterial composition possibly contributes to the development of hormone-driven malignancies, such as breast cancer [132]. However, this depends on host factors and associated behaviors, such as age, ethnicity, diet, alcohol consumption and antibiotic use, which may exert selective pressures on bacterial populations [133,134,135]. In this context, it was revealed that some antibiotics such as clarithromycin, metronidazole and ciprofloxacin induce a reduction in the biodiversity/abundance of some bacterial communities disturbing the equilibrium of the gut microbiome [136,137], which constitutes a higher risk of breast cancer [138]. Another study developed by Goedert and co-workers detected a link between fecal microbiome lower diversity in postmenopausal women and breast cancer. This study showed that 87% of the woman had ER-positive tumors when compared to healthy control women [139].

5.2. Digestive Tract Cancer

5.2.1. Gastric Cancer

Gastric carcinoma is a main global health problem, with over 1 million new cases each year [3]. Gastric chronic infection with H. pylori induces reduced acid secretion, which may stimulate the proliferation of different bacteria in the gastric mucosa. This modification in the gastric microbiome may induce damage to the gastric mucosa and contribute to malignancy. Recently, Ferreira and co-workers showed that there are significant differences between the gastric microbiota of patients with gastric carcinoma and chronic gastritis. Dysbiosis in gastric carcinoma was characterized by decreased microbial diversity, reduced H. pylori burden and enrichment of other bacterial genera, consistent with a genotoxic microbial community [140] (Figure 2). These results are in accordance with a previous report, showing lower bacterial diversity in patients with gastric cancer compared with patients with non-atrophic gastritis [141].
Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria and Fusobacteria are the leading phyla present in the gastric mucosa [142,143,144]. On the other hand, in gastric carcinoma, there is a significant decrease in Helicobacter burden, and an increased abundance in several taxa such as Citrobacter, Clostridium, Lactobacillus, Achromobacter and Rhodococcus. These taxa exist usually in the intestinal mucosa as commensals, but they can become opportunistic pathogens [145,146]. Another study described that Lactobacillus was one of the main genera detected in Swedish patients with gastric cancer [147].

5.2.2. Colorectal Cancer

Globally colon and rectum cancer (CRC) is responsible for about 500,000 and 30,000 deaths per year [3]. especially CRC affects the large intestine where a high bacterial load is prevalent [148]—the human intestinal tract is a habitat of about 1000 bacterial species [149]. Investigations have revealed a relationship between gut microbiota modification and colorectal cancer, as depicted in (Figure 2). A very recent study showed that intestinal bacteria play an important role in CRC development [150]. In healthy individuals the leading groups of bacteria are Firmicutes, Bacteroidetes and Actinobacteria, while Proteobacteria and Verrucomicrobia are present in minor quantities [151]. Conversely, intestinal bacteria in CRC patients seem to display a different profile. Current literature provides ample support for the contribution of the composition of intestinal bacteria in cancer development [152,153,154,155].
Lucas and co-workers show evidence for the key role of the gut microbiota in colorectal cancer progression [156]. The gut microbiota builds a symbiotic relationship with the host, and this is implicated in metabolic, immunological and protective functions in individual health. Data published in 1995 identified 15 bacterial species linked with higher risk to develop CRC (2 Bacteroides species, 2 Bifidobacterium species, 5 Eubacterium species, 3 Ruminococcus species, Streptococcus hansenii, Fusobacterium prausnitzii and Peptostreptococcus products) [157]. A study performed by Chen and co-workers, with 46 patients with CRC and 56 healthy subjects, involving analyses of the microbiota composition of different intestinal compartments, indicated that the mucosa-associated bacterial composition was expressively different in healthy and CRC patients. The microbiota of CRC exhibited lower diversity comparatively to the healthy tissues. The mucosa of the CRC patients is enriched in Fusobacterium, Porphyromonas, Peptostreptococcus, Gemella, Mogibacterium and Klebsiella, but are reduced in Feacalibacterium, Blautia, Lachnospira, Bifidobacterium and Anaerostipes [158]. Recent research showed that in CRC patients, the principal phylum is Firmicutes, and in healthy subjects, is Proteobacteria [159]. The mechanisms by which bacteria can induce colorectal cancer are diverse, including: (i) enhanced release of toxins produced by bacteria; (ii) reduction of bacterial benefits in terms of bacterial-derived metabolites; (iii) disruption of epithelial barrier; (iv) production of pro-carcinogenic compounds and, (v) modifications in the intestinal microbiota. The mentioned mechanisms induce chronic inflammation and increase cellular proliferation, favoring CRC progress [128].

5.2.3. Pancreatic Cancer

Pancreatic cancer is one of the most lethal cancers worldwide [160], with several studies suggesting a possible role of some microorganisms in the pathogenesis of this kind of cancer (such as H. pylori [161]). It is, in fact, a recognized inflammation-driven cancer, with large preclinical and clinical evidence indicating that bacteria likely influence this process, since they activate immune receptors, perpetuating cancer-associated inflammation.
A recent meta-analysis highlights an increased risk associated with the development of pancreatic cancer for cag-A-negative H. pylori strain [162], while a study by Farrell et al. [163] presented convincing evidence by revealing associations between specific profiles of oral bacteria and an increased risk of pancreatitis and pancreatic cancer. A recent review by Archibugi and co-workers supports that several risk aspects related with pancreatic cancer are linked to microbiome modification [164], reporting a connection between oral microbiome associated with periodontitis and a higher risk of pancreatic cancer. Microbial diversity modifications, involving bacterial species such as Porphyromonas, Actinomycetes, Neisseria, Streptococcus, Bacteroides, Bifidobacteria and Fusobacterium have been associated with pancreatic cancer [163,165,166,167,168,169,170,171] (Figure 2). Finally, more recently, McAllister and collaborators demonstrated that intra-tumoral bacteria and fungi are implicated in in pancreatic cancer carcinogenesis [172].

5.2.4. Oral Cancer

Several bacterial species have been associated with oral cancer [173]. More recently, investigations have been carried out to identify changes in bacterial microbiota in oral squamous cell carcinoma (OSCC) (Figure 2). High levels of Porphyromonas, Prevotella and Fusobacterium species were reported in patients with OSCC lesions. Mager et al. described the occurrence of F. periodonticum in saliva of patients with OSCC [174]. Capnocytophaga gingivalis, P. melaninogenica and S. mitis were also highly abundant in saliva of patients with OSCC [174,175]. Large amounts of Aggregatibacter, Lautropia, Haemophillus, Neisseria, and Leptotrichia were significantly higher in the control. Another study found low levels of Streptococcus sp and Rothia sp in OSCC patients, despite high levels of Bacteroidetes and Fusobacteria [176]. Beyond OSCC, changes in oral microbiome are also connected with oral premalignant conditions [177]. Malignant transformation appears to result from the formation of by-products of microbial metabolism. Examples of products with genotoxic activity are acetaldehyde and N-nitrosamine compounds present in the saliva of smokers and alcohol drinkers [178].

6. Role of Microbioma in Cancer Drug Response and Toxicity

Advances in cancer therapy have been significant in recent years, however resistance to treatment and associated toxicity remains a notable challenge. This part of the text will explore the role of bacteria in the response to cancer therapy, including microorganism-modulated therapy efficacy and toxicity.
According to the literature, the gut microbiota can influence the efficacy of anti-cancer chemotherapy. The efficacy of oxaliplatin, a platinum-based chemotherapy agent, has been described to be influenced by the microbiota together with the immune system [179]. The gut microbiota prime myeloid cells for production of high-levels of reactive oxygen species (ROS). In this way, the increase oxidative stress production of ROS enhances; consequently, this augments oxaliplatin-associated DNA damage, triggering cancer cell death [179]. On the other hand, the use of cyclophosphamide, a chemotherapeutic alkylating agent used in hematologic malignancies and solid tumors, leads to injury to the small intestinal epithelium. The subsequent barrier breach results in gut microbiota-dependent, T helper (TH) cell–mediated antitumor responses [180]. Additionally, the anti-tumoral efficacy of pyrimidine nucleoside analogues (e.g., 5-fluorouracil, 5-FU) can be compromised by the metabolic activity of intratumoral bacteria. It was demonstrated in vitro that the anti-tumoral efficacy of these pyrimidine analogues decreased in cells infected with Mycoplasma hyorhinis, as a result of bacterial degradation of the anticancer drugs, through the activity of thymidine phosphorylase [181]. Another study also showed that intratumoral bacteria can metabolize the chemotherapeutic drug gemcitabine into an inactive form [182]. Gemcitabine metabolism is dependent on the expression of a long isoform of the bacterial enzyme cytidine deaminase (CDD1), seen primarily in Gammaproteobacteria. In a colon cancer mouse model, the authors demonstrated that gemcitabine resistance was induced by the presence of intratumor Gammaproteobacteria, dependent on bacterial CDD1 expression, which was abrogated by co-treatment with ciprofloxacin (quinolone antibiotic). This study suggests that intratumoral bacteria can compromise the efficacy of this drug treatment of malignant tumors [182]. These results were supported by an analysis of 113 patients with pancreatic ductal adenocarcinoma, which revealed that 76% were positive for bacteria, mainly Gammaproteobacteria. Thus, these studies suggest that microbiota should be considered as an important factor in the response to chemotherapy, and antitumoral drug responses can be potentiated by the co-administration of antibiotics, but such mixtures must be the subject of further exploration in preclinical and clinical scenarios.
Importantly, there is evidence for modulation of immunotherapy efficacy by gut microbiota. In a melanoma murine model, Paulos et al. [183] demonstrated that whole body mice irradiation improved the efficacy of CD8+ T cell adoptive transfer therapy. Irradiation induced a bacterial lipopolysaccharide (LPS) release, which activated an innate immune response, boosting the anti-tumor activity of CD8+ T cells. On the contrary, antibiotic treatment or LPS neutralization decreased immunotherapy anti-tumor response. In colon carcinoma and melanoma murine cancer models, Iida et al. showed that mice antibiotic treatment compromised the efficacy of immunotherapy using anti-IL-10/CpG oligodeoxynucleotides (ODN). This lack of effect resulted from a decrease in the gut microbiota, and involved a decline in the production of pro-inflammatory cytokines by tumor-associated monocytes. Additionally, the impact of gut microbiota on the efficacy and toxicity of the more recent immune checkpoint inhibitor (ICI) therapy has been demonstrated. On study showed that germ-free or antibiotic-treated mice did not respond well to cytotoxic T-lymphocyte antigen 4 (CTLA-4) antibody inhibition [184]. Efficacy was restored by feeding mice orally with Bacteroides spp, and was associated with the increase in intratumoral mature dendritic cells (DCs) and the elevation of anti-tumor Th1 response. This association of anti-CTLA-4 response and gut microbiota was subsequently demonstrated in clinical studies [185]. Furthermore, response to anti-programmed cell death 1 (PD-1)/PD-L1 therapy could be predicted by the microbiota profile of patients with solid epithelial tumors. The presence of Faecalibacterium sp. in the gut microbiome of melanoma patients was associated with anti-PD-L1 response, while Bacteroides thetaiotaomicron, Escherichia coli, and Anaerotruncus colihominis were associated with a lack of response [186]. These results encourage the use of microbial targeting to boost the efficacy of anti-tumor immunotherapy, however, most preclinical studies are performed in immunocompromised murine models and clinical translation becomes limited.
Besides cancer pharmacotherapy, there is evidence for the role of gut microbiota composition in the response to other anti-cancer treatment modalities, namely radiotherapy and surgery. Evidence is still weak for radiotherapy, since there are only a few published studies supporting this association [187]. One of the studies is by Cui et al. [188], who reported an association between the composition of intestinal microbiota and radiosensitivity, in which antibiotic-treated mice presented higher survival rates after irradiation, compared to antibiotic-untreated mice. Evidence for the potential impact of gut microbiota in surgery is limited to CRC. The existing studies support the role of the gut microbiota in the pathogenesis of anastomotic leaks, common life-threatening postoperative complications. Several studies report that the use of oral antibiotics in colorectal surgery protect patients from these postoperative complications, however the mechanisms are still poorly understood [189].
From the above described, it appears that there is potential in the modulation of the gut microbiome as a rational approach to enhance the efficacy of cancer therapy. Indeed, several studies support the use of selective antibiotics (some examples described above), but also fecal transplantation, as well as probiotics and prebiotics (for a review, see [190]). However, most of the time, the evidence is not strong enough and the mechanisms behind their antitumor activity are still unclear, which demands further studies.
Despite the importance and proven efficacy of the chemotherapeutic strategies, they also induce severe toxicity to normal cells, especially highly proliferative tissues. As an example, several cancers are treated with irinotecan (topoisomerase-1 inhibitor) in combination with other agents, and a usual side effect is the onset of diarrhea. In some cases, this situation leads to hospitalization. Within the intestinal lumen, microbial-produced β-glucuronidases regulate the levels of irinotecan’s bioactive form and thus influence irinotecan activity and toxicity [191]. Thus, the use of oral bacterial β-glucuronidase inhibitors blunt the dose-limiting toxicities of irinotecan, not damaging host cells or destroying bacteria. These data suggest that microbial metabolism modulation constitutes a rational target in cancer care [191]. Another example is the involvement of Bacteroides spp, members of intestinal microbiota, in the toxicity of 5-FU/sorivudine therapy. Bacteroides species induce sorivudine conversion to the intermediate BVU which, in turn, inhibits degradation of 5-FU, raising 5-FU plasma concentrations with consequent higher toxicity [192]. The composition of gut microbiota may also influence the toxicity induced by radiotherapy. A clinical study by Ferreira et al. [193], reported an association between gut microbiota composition and radiation-induced enteropathy, in which higher loads of Clostridium, Roseburia and Phascolarctobacterium appeared increased in patients with enteropathy.

7. Conclusions

As stated above, it is clearly established that infection with several microorganisms constitute a cause of cancer. Important examples are HPV infection in cervical cancer, H. pylori in gastric cancer, C. albicans in oral squamous cell carcinoma, and S. haematobium in bladder cancer. On the other hand, microorganisms, especially bacteria, are an important part of the human organism ecosystem, which is known as microbiota. In general, the relationship established between the host and microbiota is symbiotic, with important functions to the human organism, including the production of nutrients, vitamins and defense against pathogens. However, alterations in the human microbiota can lead to infection that can play a role in carcinogenesis and the susceptibility to acquire cancer can also be influenced by the microbial composition of the human body. Additionally, particularities of the cancer type, or the treatment regimens, can make cancer patients more vulnerable to the acquisition of infectious diseases. Lastly, but no less important, microbiota and/or intratumoral bacteria can influence the efficacy and toxicity of cancer therapy. Thus, modulation of microbial activity may help in the antitumor treatment response.
On the whole, it seems to be clear that microbial communities that colonize the human body play a crucial role in health and disease. In healthy conditions, microbes are allies and live in dynamic equilibrium with the host. However, in disease conditions, a microbial imbalance is created and they may become faux, having the capacity to sustain disease, including cancer. Thus, “fine tuning” the human microbiome, taking advantage of the relationship with the microorganisms that colonize our body, would likely be a strategy in fighting disease in a more effective way. In order to master this approach, further investment in research directed to the different aspects of our interaction with the microbes is mandatory.

Author Contributions

Conceptualization, M.M.A. and F.B.; writing—original draft preparation, M.M.A.; writing—review and editing, M.M.A., C.P.-V. and F.B.; funding acquisition, M.M.A., C.P.-V. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Funds through FCT—Fundação para a Ciência e a Tecnologia, I.P., within CINTESIS, R&D Unit, grant number UIDB/4255/2020.

Acknowledgments

This article was supported by National Funds through FCT—Fundação para a Ciência e a Tecnologia, I.P., within CINTESIS, R&D Unit (reference UIDB/4255/2020).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2019. CA Cancer J. Clin. 2019, 69, 7–34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Siegel, R.; Naishadham, D.; Jemal, A. Cancer statistics for Hispanics/Latinos, 2012. CA Cancer J. Clin. 2012, 62, 283–298. [Google Scholar] [CrossRef] [PubMed]
  3. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Mariotto, A.B.; Yabroff, K.R.; Shao, Y.; Feuer, E.J.; Brown, M.L. Projections of the cost of cancer care in the United States: 2010–2020. J. Natl. Cancer Inst. 2011, 103, 117–128. [Google Scholar] [CrossRef] [Green Version]
  5. Travis, W.D.; Brambilla, E.; Noguchi, M.; Nicholson, A.G.; Geisinger, K.; Yatabe, Y.; Ishikawa, Y.; Wistuba, I.; Flieder, D.B.; Franklin, W.; et al. Diagnosis of lung cancer in small biopsies and cytology: Implications of the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification. Arch Pathol. Lab. Med. 2013, 137, 668–684. [Google Scholar] [CrossRef] [Green Version]
  6. Denisov, E.V.; Litviakov, N.V.; Zavyalova, M.V.; Perelmuter, V.M.; Vtorushin, S.V.; Tsyganov, M.M.; Gerashchenko, T.S.; Garbukov, E.Y.; Slonimskaya, E.M.; Cherdyntseva, N.V. Intratumoral morphological heterogeneity of breast cancer: Neoadjuvant chemotherapy efficiency and multidrug resistance gene expression. Sci. Rep. 2014, 4, 4709. [Google Scholar] [CrossRef] [Green Version]
  7. Yasunaga, J.I.; Matsuoka, M. Oncogenic spiral by infectious pathogens: Cooperation of multiple factors in cancer development. Cancer Sci. 2018, 109, 24–32. [Google Scholar] [CrossRef] [Green Version]
  8. Parkin, D.M. The global health burden of infection-associated cancers in the year 2002. Int. J. Cancer 2006, 118, 3030–3044. [Google Scholar] [CrossRef] [Green Version]
  9. Chang, X.B. Molecular mechanism of ATP-dependent solute transport by multidrug resistance-associated protein 1. Methods Mol. Biol. 2010, 596, 223–249. [Google Scholar] [CrossRef]
  10. Clemente, J.C.; Ursell, L.K.; Parfrey, L.W.; Knight, R. The impact of the gut microbiota on human health: An integrative view. Cell 2012, 148, 1258–1270. [Google Scholar] [CrossRef] [Green Version]
  11. de Martel, C.; Ferlay, J.; Franceschi, S.; Vignat, J.; Bray, F.; Forman, D.; Plummer, M. Global burden of cancers attributable to infections in 2008: A review and synthetic analysis. Lancet Oncol. 2012, 13, 607–615. [Google Scholar] [CrossRef]
  12. Luo, G.G.; Ou, J.H.J. Oncogenic viruses and cancer. Virol. Sin. 2015, 30, 83–84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Khan, G.; Hashim, M.J. Global burden of deaths from Epstein-Barr virus attributable malignancies 1990–2010. Infect. Agent Cancer 2014, 9, 38. [Google Scholar] [CrossRef] [Green Version]
  14. Babcock, G.J.; Decker, L.L.; Volk, M.; Thorley-Lawson, D.A. EBV persistence in memory B cells in vivo. Immunity 1998, 9, 395–404. [Google Scholar] [CrossRef] [Green Version]
  15. Molyneux, E.M.; Rochford, R.; Griffin, B.; Newton, R.; Jackson, G.; Menon, G.; Harrison, C.J.; Israels, T.; Bailey, S. Burkitt’s lymphoma. Lancet 2012, 379, 1234–1244. [Google Scholar] [CrossRef] [Green Version]
  16. Miles, R.R.; Arnold, S.; Cairo, M.S. Risk factors and treatment of childhood and adolescent Burkitt lymphoma/leukaemia. Br. J. Haematol. 2012, 156, 730–743. [Google Scholar] [CrossRef] [PubMed]
  17. Petrich, A.M.; Sparano, J.A.; Parekh, S. Paradigms and Controversies in the Treatment of HIV-Related Burkitt Lymphoma. Adv. Hematol. 2012, 2012, 403648. [Google Scholar] [CrossRef] [Green Version]
  18. Kaplan, L.D. HIV-associated lymphoma. Best Pract. Res. Clin. Haematol. 2012, 25, 101–117. [Google Scholar] [CrossRef]
  19. Brady, G.; MacArthur, G.J.; Farrell, P.J. Epstein-Barr virus and Burkitt lymphoma. J. Clin. Pathol. 2007, 60, 1397–1402. [Google Scholar] [CrossRef]
  20. Godot, C.; Patte, C.; Blanche, S.; Rohrlich, P.; Dollfus, C.; Tabone, M.D. Characteristics and prognosis of B-cell lymphoma in HIV-infected children in the HAART era. J. Pediatr. Hematol. Oncol. 2012, 34, e282–e288. [Google Scholar] [CrossRef]
  21. Carbone, A.; Gloghini, A.; Serraino, D.; Spina, M. HIV-associated Hodgkin lymphoma. Curr. Opin. HIV AIDS 2009, 4, 3–10. [Google Scholar] [CrossRef]
  22. Akar Ozkan, E.; Ozdemir, B.H.; Akdur, A.; Deniz, E.E.; Haberal, M. Burkitt lymphoma after transplant: An aggressive lymphoproliferative disease. Exp. Clin. Transpl. 2014, 12 (Suppl. 1), 136–138. [Google Scholar]
  23. Shah, K.M.; Young, L.S. Epstein-Barr virus and carcinogenesis: Beyond Burkitt’s lymphoma. Clin. Microbiol. Infect. 2009, 15, 982–988. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Jemal, A.; Bray, F.; Center, M.M.; Ferlay, J.; Ward, E.; Forman, D. Global cancer statistics. CA Cancer J. Clin. 2011, 61, 69–90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Wee, J.; Nei, W.L.; Yeoh, K.W.; Yeo, R.M.; Loong, S.L.; Qian, C.N. Why are East Asians more susceptible to several infection-associated cancers (carcinomas of the nasopharynx, stomach, liver, adenocarcinoma of the lung, nasal NK/T-cell lymphomas)? Med. Hypotheses 2012, 79, 833–842. [Google Scholar] [CrossRef]
  26. Petersson, F. Nasopharyngeal carcinoma: A review. Semin. Diagn. Pathol. 2015, 32, 54–73. [Google Scholar] [CrossRef]
  27. Alabdulqader, N.A.; Yousef, M.M.; Bernacki, K.D.; Al-Abbadi, M.A. Epstein-Barr virus associated smooth muscle tumors. Synchronous liver and lung involvement. Saudi. Med. J. 2012, 33, 1010–1013. [Google Scholar]
  28. Luo, G.; Hao, N.B.; Hu, C.J.; Yong, X.; Lu, M.H.; Cheng, B.J.; Zhang, Y.; Yang, S.M. HBV infection increases the risk of pancreatic cancer: A meta-analysis. Cancer Causes Control 2013, 24, 529–537. [Google Scholar] [CrossRef]
  29. Hsing, A.W.; Zhang, M.; Rashid, A.; McGlynn, K.A.; Wang, B.S.; Niwa, S.; Ortiz-Conde, B.A.; Goedert, J.J.; Fraumeni, J.F., Jr.; O’Brien, T.R.; et al. Hepatitis B and C virus infection and the risk of biliary tract cancer: A population-based study in China. Int. J. Cancer 2008, 122, 1849–1853. [Google Scholar] [CrossRef]
  30. Su, F.H.; Chang, S.N.; Chen, P.C.; Sung, F.C.; Su, C.T.; Yeh, C.C. Association between chronic viral hepatitis infection and breast cancer risk: A nationwide population-based case-control study. BMC Cancer 2011, 11, 495. [Google Scholar] [CrossRef] [Green Version]
  31. Available online: http://www.who.int/cancer/prevention/en/ (accessed on 4 March 2019).
  32. Bosch, F.X.; Broker, T.R.; Forman, D.; Moscicki, A.B.; Gillison, M.L.; Doorbar, J.; Stern, P.L.; Stanley, M.; Arbyn, M.; Poljak, M.; et al. Comprehensive control of human papillomavirus infections and related diseases. Vaccine 2013, 31 (Suppl. 7), H1–H31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Viens, L.J.; Henley, S.J.; Watson, M.; Markowitz, L.E.; Thomas, C.C.; Thompson, T.D.; Razzaghi, H.; Saraiya, M. Human Papillomavirus-Associated Cancers-United States, 2008–2012. MMWR Morb. Mortal. Wkly. Rep. 2016, 65, 661–666. [Google Scholar] [CrossRef] [PubMed]
  34. Available online: http://www.cdc.gov/std/hpv/HPV-FS-July-2017.pdf (accessed on 4 March 2019).
  35. Asiaf, A.; Ahmad, S.T.; Mohammad, S.O.; Zargar, M.A. Review of the current knowledge on the epidemiology, pathogenesis, and prevention of human papillomavirus infection. Eur. J. Cancer Prev. 2014, 23, 206–224. [Google Scholar] [CrossRef] [PubMed]
  36. Marlow, L.A.; Waller, J.; Wardle, J. Public awareness that HPV is a risk factor for cervical cancer. Br. J. Cancer 2007, 97, 691–694. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Anhang, R.; Wright, T.C., Jr.; Smock, L.; Goldie, S.J. Women’s desired information about human papillomavirus. Cancer 2004, 100, 315–320. [Google Scholar] [CrossRef] [PubMed]
  38. McCaffery, K.; Waller, J.; Nazroo, J.; Wardle, J. Social and psychological impact of HPV testing in cervical screening: A qualitative study. Sex Transm. Infect. 2006, 82, 169–174. [Google Scholar] [CrossRef] [Green Version]
  39. Torre, L.A.; Bray, F.; Siegel, R.L.; Ferlay, J.; Lortet-Tieulent, J.; Jemal, A. Global cancer statistics, 2012. CA Cancer J. Clin. 2015, 65, 87–108. [Google Scholar] [CrossRef] [Green Version]
  40. Cuzick, J.; Arbyn, M.; Sankaranarayanan, R.; Tsu, V.; Ronco, G.; Mayrand, M.H.; Dillner, J.; Meijer, C.J. Overview of human papillomavirus-based and other novel options for cervical cancer screening in developed and developing countries. Vaccine 2008, 26 (Suppl. 10), K29–K41. [Google Scholar] [CrossRef]
  41. Stanley, M. Tumour virus vaccines: Hepatitis B virus and human papillomavirus. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2017, 372. [Google Scholar] [CrossRef] [Green Version]
  42. Lieberman, P.M. Virology. Epstein-Barr virus turns 50. Science 2014, 343, 1323–1325. [Google Scholar] [CrossRef] [Green Version]
  43. Bosch, F.X.; Ribes, J.; Diaz, M.; Cleries, R. Primary liver cancer: Worldwide incidence and trends. Gastroenterology 2004, 127, S5–S16. [Google Scholar] [CrossRef] [PubMed]
  44. Minuk, G.Y.; Bautista, W.; Klein, J. Evidence of Hepatitis B Virus Infection in Cancer and Noncancer Stem Cells Associated with Human Hepatocellular Carcinoma. Can. J. Infect. Dis. Med. Microbiol. 2016, 2016, 8931591. [Google Scholar] [CrossRef] [PubMed]
  45. Lemon, S.M.; McGivern, D.R. Is hepatitis C virus carcinogenic? Gastroenterology 2012, 142, 1274–1278. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Marcucci, F.; Mele, A. Hepatitis viruses and non-Hodgkin lymphoma: Epidemiology, mechanisms of tumorigenesis, and therapeutic opportunities. Blood 2011, 117, 1792–1798. [Google Scholar] [CrossRef] [Green Version]
  47. Gisbert, J.P.; Garcia-Buey, L.; Pajares, J.M.; Moreno-Otero, R. Prevalence of hepatitis C virus infection in B-cell non-Hodgkin’s lymphoma: Systematic review and meta-analysis. Gastroenterology 2003, 125, 1723–1732. [Google Scholar] [CrossRef]
  48. Matsuo, K.; Kusano, A.; Sugumar, A.; Nakamura, S.; Tajima, K.; Mueller, N.E. Effect of hepatitis C virus infection on the risk of non-Hodgkin’s lymphoma: A meta-analysis of epidemiological studies. Cancer Sci. 2004, 95, 745–752. [Google Scholar] [CrossRef] [Green Version]
  49. Wang, P.; Jing, Z.; Liu, C.; Xu, M.; Wang, P.; Wang, X.; Yin, Y.; Cui, Y.; Ren, D.; Rao, X. Hepatitis C virus infection and risk of thyroid cancer: A systematic review and meta-analysis. Arab. J. Gastroenterol. 2017, 18, 1–5. [Google Scholar] [CrossRef]
  50. Omland, L.H.; Farkas, D.K.; Jepsen, P.; Obel, N.; Pedersen, L. Hepatitis C virus infection and risk of cancer: A population-based cohort study. Clin. Epidemiol. 2010, 2, 179–186. [Google Scholar] [CrossRef] [Green Version]
  51. Gao, W.Y.; Johns, D.G.; Tanaka, M.; Mitsuya, H. Suppression of replication of multidrug-resistant HIV type 1 variants by combinations of thymidylate synthase inhibitors with zidovudine or stavudine. Mol. Pharmacol. 1999, 55, 535–540. [Google Scholar]
  52. Sharp, P.M.; Hahn, B.H. Origins of HIV and the AIDS pandemic. Cold Spring Harb. Perspect. Med. 2011, 1, a006841. [Google Scholar] [CrossRef] [Green Version]
  53. Faria, N.R.; Rambaut, A.; Suchard, M.A.; Baele, G.; Bedford, T.; Ward, M.J.; Tatem, A.J.; Sousa, J.D.; Arinaminpathy, N.; Pepin, J.; et al. HIV epidemiology. The early spread and epidemic ignition of HIV-1 in human populations. Science 2014, 346, 56–61. [Google Scholar] [CrossRef] [Green Version]
  54. Antman, K.; Chang, Y. Kaposi’s sarcoma. N. Engl. J. Med. 2000, 342, 1027–1038. [Google Scholar] [CrossRef] [PubMed]
  55. Beatrous, S.V.; Grisoli, S.B.; Riahi, R.R.; Cohen, P.R. Cutaneous HIV-associated Kaposi sarcoma: A potential setting for management by clinical observation. Dermatol. Online J. 2017, 23. [Google Scholar]
  56. Goncalves, P.H.; Uldrick, T.S.; Yarchoan, R. HIV-associated Kaposi sarcoma and related diseases. AIDS 2017, 31, 1903–1916. [Google Scholar] [CrossRef] [PubMed]
  57. Patel, P.; Hanson, D.L.; Sullivan, P.S.; Novak, R.M.; Moorman, A.C.; Tong, T.C.; Holmberg, S.D.; Brooks, J.T.; Adult and Adolescent Spectrum of Disease Project and HIV Outpatient Study Investigators. Incidence of types of cancer among HIV-infected persons compared with the general population in the United States, 1992–2003. Ann. Intern. Med. 2008, 148, 728–736. [Google Scholar] [CrossRef] [PubMed]
  58. Biggar, R.J.; Curtis, R.E.; Cote, T.R.; Rabkin, C.S.; Melbye, M. Risk of Other Cancers Following Kaposis-Sarcoma-Relation to Acquired-Immunodeficiency-Syndrome. Am. J. Epidemiol. 1994, 139, 362–368. [Google Scholar] [CrossRef] [Green Version]
  59. Schneider, J.W.; Dittmer, D.P. Diagnosis and Treatment of Kaposi Sarcoma. Am. J. Clin. Dermatol. 2017, 18, 529–539. [Google Scholar] [CrossRef]
  60. Muhammad, J.S.; Zaidi, S.F.; Sugiyama, T. Epidemiological ins and outs of helicobacter pylori: A review. J. Pak. Med. Assoc. 2012, 62, 955–959. [Google Scholar]
  61. Camilo, V.; Sugiyama, T.; Touati, E. Pathogenesis of Helicobacter pylori infection. Helicobacter 2017, 22 (Suppl. 1). [Google Scholar] [CrossRef]
  62. Rugge, M.; Genta, R.M.; Di Mario, F.; El-Omar, E.M.; El-Serag, H.B.; Fassan, M.; Hunt, R.H.; Kuipers, E.J.; Malfertheiner, P.; Sugano, K.; et al. Gastric Cancer as Preventable Disease. Clin. Gastroenterol. Hepatol. 2017, 15, 1833–1843. [Google Scholar] [CrossRef] [Green Version]
  63. Venerito, M.; Vasapolli, R.; Rokkas, T.; Delchier, J.C.; Malfertheiner, P. Helicobacter pylori, gastric cancer and other gastrointestinal malignancies. Helicobacter 2017, 22 (Suppl. 1). [Google Scholar] [CrossRef] [PubMed]
  64. Tsukamoto, T.; Nakagawa, M.; Kiriyama, Y.; Toyoda, T.; Cao, X. Prevention of Gastric Cancer: Eradication of Helicobacter pylori and Beyond. Int. J. Mol. Sci. 2017, 18, 1699. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Maev, I.G.; Kazyulin, A.N. [New opportunities for the prevention of gastric cancer]. Ter Arkh 2017, 89, 101–109. [Google Scholar] [CrossRef] [PubMed]
  66. Houghton, J.; Wang, T.C. Helicobacter pylori and gastric cancer: A new paradigm for inflammation-associated epithelial cancers. Gastroenterology 2005, 128, 1567–1578. [Google Scholar] [CrossRef] [PubMed]
  67. Zhang, C.; Powell, S.E.; Betel, D.; Shah, M.A. The Gastric Microbiome and Its Influence on Gastric Carcinogenesis: Current Knowledge and Ongoing Research. Hematol. Oncol. Clin. N. Am. 2017, 31, 389–408. [Google Scholar] [CrossRef]
  68. Gigek, C.O.; Calcagno, D.Q.; Rasmussen, L.T.; Santos, L.C.; Leal, M.F.; Wisnieski, F.; Burbano, R.R.; Lourenco, L.G.; Lopes-Filho, G.J.; Smith, M.A.C. Genetic variants in gastric cancer: Risks and clinical implications. Exp. Mol. Pathol. 2017, 103, 101–111. [Google Scholar] [CrossRef]
  69. Sugano, K.; Tack, J.; Kuipers, E.J.; Graham, D.Y.; El-Omar, E.M.; Miura, S.; Haruma, K.; Asaka, M.; Uemura, N.; Malfertheiner, P.; et al. Kyoto global consensus report on Helicobacter pylori gastritis. Gut 2015, 64, 1353–1367. [Google Scholar] [CrossRef] [Green Version]
  70. Asaka, M.; Kato, M.; Sakamoto, N. Roadmap to eliminate gastric cancer with Helicobacter pylori eradication and consecutive surveillance in Japan. J. Gastroenterol. 2014, 49, 1–8. [Google Scholar] [CrossRef] [Green Version]
  71. Driscoll, L.J.; Brown, H.E.; Harris, R.B.; Oren, E. Population Knowledge, Attitude, and Practice Regarding Helicobacter pylori Transmission and Outcomes: A Literature Review. Front. Public Health 2017, 5, 144. [Google Scholar] [CrossRef] [Green Version]
  72. Martins, H.M.; Almeida, I.; Marques, M.; Bernardo, F. Interaction of wild strains of Aspergilla with Aspergillus parasiticus ATCC15517 and aflatoxin production. Int. J. Mol. Sci. 2008, 9, 394–400. [Google Scholar] [CrossRef]
  73. Sohrabi, N.; Hassan, Z.M.; Khosravi, A.R.; Tebianian, M.; Mahdavi, M.; Tootian, Z.; Ebrahimi, S.M.; Yadegari, M.H.; Gheflati, Z. Invasive aspergillosis promotes tumor growth and severity in a tumor-bearing mouse model. Can. J. Microbiol. 2010, 56, 771–776. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Ramirez-Garcia, A.; Gallot, N.; Abad, A.; Mendoza, L.; Rementeria, A.; Hernando, F.L. Molecular fractionation and characterization of a Candida albicans fraction that increases tumor cell adhesion to hepatic endothelium. Appl. Microbiol. Biotechnol. 2011, 92, 133–145. [Google Scholar] [CrossRef] [PubMed]
  75. Ramirez-Garcia, A.; Arteta, B.; Abad-Diaz-de-Cerio, A.; Pellon, A.; Antoran, A.; Marquez, J.; Rementeria, A.; Hernando, F.L. Candida albicans increases tumor cell adhesion to endothelial cells in vitro: Intraspecific differences and importance of the mannose receptor. PLoS ONE 2013, 8, e53584. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Mohd Bakri, M.; Mohd Hussaini, H.; Rachel Holmes, A.; David Cannon, R.; Mary Rich, A. Revisiting the association between candidal infection and carcinoma, particularly oral squamous cell carcinoma. J. Oral. Microbiol. 2010, 2. [Google Scholar] [CrossRef] [PubMed]
  77. Ramirez-Garcia, A.; Rementeria, A.; Aguirre-Urizar, J.M.; Moragues, M.D.; Antoran, A.; Pellon, A.; Abad-Diaz-de-Cerio, A.; Hernando, F.L. Candida albicans and cancer: Can this yeast induce cancer development or progression? Crit. Rev. Microbiol. 2016, 42, 181–193. [Google Scholar] [CrossRef] [PubMed]
  78. Adebayo, A.S.; Suryavanshi, M.V.; Bhute, S.; Agunloye, A.M.; Isokpehi, R.D.; Anumudu, C.I.; Shouche, Y.S. The microbiome in urogenital schistosomiasis and induced bladder pathologies. PLoS Negl. Trop. Dis. 2017, 11, e0005826. [Google Scholar] [CrossRef] [Green Version]
  79. Chng, K.R.; Chan, S.H.; Ng, A.H.Q.; Li, C.; Jusakul, A.; Bertrand, D.; Wilm, A.; Choo, S.P.; Tan, D.M.Y.; Lim, K.H.; et al. Tissue Microbiome Profiling Identifies an Enrichment of Specific Enteric Bacteria in Opisthorchis viverrini Associated Cholangiocarcinoma. EBioMedicine 2016, 8, 195–202. [Google Scholar] [CrossRef] [Green Version]
  80. Itthitaetrakool, U.; Pinlaor, P.; Pinlaor, S.; Chomvarin, C.; Dangtakot, R.; Chaidee, A.; Wilailuckana, C.; Sangka, A.; Lulitanond, A.; Yongvanit, P. Chronic Opisthorchis viverrini Infection Changes the Liver Microbiome and Promotes Helicobacter Growth. PLoS ONE 2016, 11, e0165798. [Google Scholar] [CrossRef] [Green Version]
  81. Plieskatt, J.L.; Deenonpoe, R.; Mulvenna, J.P.; Krause, L.; Sripa, B.; Bethony, J.M.; Brindley, P.J. Infection with the carcinogenic liver fluke Opisthorchis viverrini modifies intestinal and biliary microbiome. FASEB J. 2013, 27, 4572–4584. [Google Scholar] [CrossRef] [Green Version]
  82. Sripa, B.; Deenonpoe, R.; Brindley, P.J. Co-infections with liver fluke and Helicobacter species: A paradigm change in pathogenesis of opisthorchiasis and cholangiocarcinoma? Parasitol. Int. 2017, 66, 383–389. [Google Scholar] [CrossRef]
  83. Botelho, M.C.; Alves, H.; Richter, J. Halting Schistosoma haematobium-associated bladder cancer. Int. J. Cancer Manag. 2017, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Sanli, O.; Dobruch, J.; Knowles, M.A.; Burger, M.; Alemozaffar, M.; Nielsen, M.E.; Lotan, Y. Bladder cancer. Nat. Rev. Dis. Primers 2017, 3, 17022. [Google Scholar] [CrossRef]
  85. La Vecchia, C.; Negri, E.; D’Avanzo, B.; Savoldelli, R.; Franceschi, S. Genital and urinary tract diseases and bladder cancer. Cancer Res. 1991, 51, 629–631. [Google Scholar] [PubMed]
  86. Afonso, J.; Longatto-Filho, A.; Baltazar, F.; Sousa, N.; Costa, F.E.; Morais, A.; Amaro, T.; Lopes, C.; Santos, L.L. CD147 overexpression allows an accurate discrimination of bladder cancer patients’ prognosis. Eur. J. Surg. Oncol. 2011, 37, 811–817. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Gryseels, B.; Polman, K.; Clerinx, J.; Kestens, L. Human schistosomiasis. Lancet 2006, 368, 1106–1118. [Google Scholar] [CrossRef]
  88. Mostafa, M.H.; Sheweita, S.A.; O’Connor, P.J. Relationship between schistosomiasis and bladder cancer. Clin. Microbiol. Rev. 1999, 12, 97–111. [Google Scholar] [CrossRef] [Green Version]
  89. Grimes, J.E.; Croll, D.; Harrison, W.E.; Utzinger, J.; Freeman, M.C.; Templeton, M.R. The roles of water, sanitation and hygiene in reducing schistosomiasis: A review. Parasit Vectors 2015, 8, 156. [Google Scholar] [CrossRef] [Green Version]
  90. Grimes, J.E.; Croll, D.; Harrison, W.E.; Utzinger, J.; Freeman, M.C.; Templeton, M.R. The relationship between water, sanitation and schistosomiasis: A systematic review and meta-analysis. PLoS Negl. Trop. Dis. 2014, 8, e3296. [Google Scholar] [CrossRef]
  91. Okwuosa, V.N.; Osuala, F.O. Toxicity of washing soaps to Schistosoma mansoni cercariae and effects of sublethal concentrations on infectivity in mice. Appl. Parasitol. 1993, 34, 69–75. [Google Scholar]
  92. Birrie, H.; Balcha, F.; Erko, B.; Bezuneh, A.; Gemeda, N. Investigation into the cercariacidal and miracidiacidal properties of Endod (Phytolacca dodecandra) berries (type 44). East Afr. Med. J. 1998, 75, 311–314. [Google Scholar]
  93. Botelho, M.C.; Machado, J.C.; da Costa, J.M. Schistosoma haematobium and bladder cancer: What lies beneath? Virulence 2010, 1, 84–87. [Google Scholar] [CrossRef] [Green Version]
  94. Botelho, M.C.; Soares, R.; Vale, N.; Ribeiro, R.; Camilo, V.; Almeida, R.; Medeiros, R.; Gomes, P.; Machado, J.C.; Correia da Costa, J.M. Schistosoma haematobium: Identification of new estrogenic molecules with estradiol antagonistic activity and ability to inactivate estrogen receptor in mammalian cells. Exp. Parasitol. 2010, 126, 526–535. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Rolston, K.V. Infections in Cancer Patients with Solid Tumors: A Review. Infect. Dis. Ther. 2017, 6, 69–83. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. John, C.; Ruckdeschel, M.; John Greene, M.D.K.; Eric Sommers, M.D.; Karen, K.; Fields, M.D. Respiratory infections in patients with cancer. In Holland-Frei Cancer Medicine, 6th ed.; BC Decker: Hamilton, ON, Canada, 2003. [Google Scholar]
  97. Rolston, K.V.; Dholakia, N.; Rodriguez, S.; Rubenstein, E.B. Nature and outcome of febrile episodes in patients with pancreatic and hepatobiliary cancer. Support Care Cancer 1995, 3, 414–417. [Google Scholar] [CrossRef]
  98. Nesher, L.; Rolston, K.V. The current spectrum of infection in cancer patients with chemotherapy related neutropenia. Infection 2014, 42, 5–13. [Google Scholar] [CrossRef] [PubMed]
  99. Cancer Facts & Figures 2019. Available online: https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2019.html (accessed on 23 February 2019).
  100. Denning, D.W.; Bromley, M.J. Infectious Disease. How to bolster the antifungal pipeline. Science 2015, 347, 1414–1416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  101. Vos, T.; Flaxman, A.D.; Naghavi, M.; Lozano, R.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S.; Aboyans, V.; et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2163–2196. [Google Scholar] [CrossRef]
  102. Lass-Florl, C. The changing face of epidemiology of invasive fungal disease in Europe. Mycoses 2009, 52, 197–205. [Google Scholar] [CrossRef] [PubMed]
  103. Pfaller, M.A.; Diekema, D.J. Epidemiology of invasive mycoses in North America. Crit. Rev. Microbiol. 2010, 36, 1–53. [Google Scholar] [CrossRef]
  104. Pappas, P.G.; Alexander, B.D.; Andes, D.R.; Hadley, S.; Kauffman, C.A.; Freifeld, A.; Anaissie, E.J.; Brumble, L.M.; Herwaldt, L.; Ito, J.; et al. Invasive fungal infections among organ transplant recipients: Results of the Transplant-Associated Infection Surveillance Network (TRANSNET). Clin. Infect. Dis. 2010, 50, 1101–1111. [Google Scholar] [CrossRef]
  105. Pfaller, M.A.; Diekema, D.J. Epidemiology of invasive candidiasis: A persistent public health problem. Clin. Microbiol. Rev. 2007, 20, 133–163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Almirante, B.; Rodriguez, D.; Park, B.J.; Cuenca-Estrella, M.; Planes, A.M.; Almela, M.; Mensa, J.; Sanchez, F.; Ayats, J.; Gimenez, M.; et al. Epidemiology and predictors of mortality in cases of Candida bloodstream infection: Results from population-based surveillance, barcelona, Spain, from 2002 to 2003. J. Clin. Microbiol. 2005, 43, 1829–1835. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Lalla, R.V.; Latortue, M.C.; Hong, C.H.; Ariyawardana, A.; D’Amato-Palumbo, S.; Fischer, D.J.; Martof, A.; Nicolatou-Galitis, O.; Patton, L.L.; Elting, L.S.; et al. A systematic review of oral fungal infections in patients receiving cancer therapy. Support Care Cancer 2010, 18, 985–992. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  108. Bergamasco, M.D.; Garnica, M.; Colombo, A.L.; Nucci, M. Epidemiology of candidemia in patients with hematologic malignancies and solid tumours in Brazil. Mycoses 2013, 56, 256–263. [Google Scholar] [CrossRef]
  109. Kontoyiannis, D.P.; Marr, K.A.; Park, B.J.; Alexander, B.D.; Anaissie, E.J.; Walsh, T.J.; Ito, J.; Andes, D.R.; Baddley, J.W.; Brown, J.M.; et al. Prospective surveillance for invasive fungal infections in hematopoietic stem cell transplant recipients, 2001–2006: Overview of the Transplant-Associated Infection Surveillance Network (TRANSNET) Database. Clin. Infect. Dis. 2010, 50, 1091–1100. [Google Scholar] [CrossRef]
  110. Steinbach, W.J.; Marr, K.A.; Anaissie, E.J.; Azie, N.; Quan, S.P.; Meier-Kriesche, H.U.; Apewokin, S.; Horn, D.L. Clinical epidemiology of 960 patients with invasive aspergillosis from the PATH Alliance registry. J. Infect. 2012, 65, 453–464. [Google Scholar] [CrossRef]
  111. Marr, K.A.; Carter, R.A.; Crippa, F.; Wald, A.; Corey, L. Epidemiology and outcome of mould infections in hematopoietic stem cell transplant recipients. Clin. Infect. Dis. 2002, 34, 909–917. [Google Scholar] [CrossRef] [Green Version]
  112. Anaissie, E. Opportunistic mycoses in the immunocompromised host: Experience at a cancer center and review. Clin. Infect. Dis. 1992, 14 (Suppl. 1), S43–S53. [Google Scholar] [CrossRef] [Green Version]
  113. Latge, J.P. Aspergillus fumigatus and aspergillosis. Clin. Microbiol. Rev. 1999, 12, 310–350. [Google Scholar] [CrossRef] [Green Version]
  114. Pannuti, C.; Gingrich, R.; Pfaller, M.A.; Kao, C.; Wenzel, R.P. Nosocomial pneumonia in patients having bone marrow transplant. Attributable mortality and risk factors. Cancer 1992, 69, 2653–2662. [Google Scholar] [CrossRef] [Green Version]
  115. Lass-Florl, C.; Griff, K.; Mayr, A.; Petzer, A.; Gastl, G.; Bonatti, H.; Freund, M.; Kropshofer, G.; Dierich, M.P.; Nachbaur, D. Epidemiology and outcome of infections due to Aspergillus terreus: 10-year single centre experience. Br. J. Haematol. 2005, 131, 201–207. [Google Scholar] [CrossRef] [PubMed]
  116. Auberger, J.; Lass-Florl, C.; Ulmer, H.; Nogler-Semenitz, E.; Clausen, J.; Gunsilius, E.; Einsele, H.; Gastl, G.; Nachbaur, D. Significant alterations in the epidemiology and treatment outcome of invasive fungal infections in patients with hematological malignancies. Int. J. Hematol. 2008, 88, 508–515. [Google Scholar] [CrossRef] [PubMed]
  117. von Eiff, M.; Roos, N.; Schulten, R.; Hesse, M.; Zuhlsdorf, M.; van de Loo, J. Pulmonary aspergillosis: Early diagnosis improves survival. Respiration 1995, 62, 341–347. [Google Scholar] [CrossRef] [PubMed]
  118. Nucci, M.; Anaissie, E. Fusarium infections in immunocompromised patients. Clin. Microbiol. Rev. 2007, 20, 695–704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  119. Kontoyiannis, D.P. Mucormycosis. In Goldman’s Cecil Medicine, 24th ed.; Lee Goldman, M.D., Ed.; Elsevier: Amsterdam, The Netherlands, 2012; Volume 2, pp. 1994–1997. [Google Scholar]
  120. Pagano, L.; Caira, M.; Valentini, C.G.; Posteraro, B.; Fianchi, L. Current therapeutic approaches to fungal infections in immunocompromised hematological patients. Blood Rev. 2010, 24, 51–61. [Google Scholar] [CrossRef] [PubMed]
  121. Garrett, W.S. Cancer and the microbiota. Science 2015, 348, 80–86. [Google Scholar] [CrossRef] [Green Version]
  122. Hooper, L.V.; Littman, D.R.; Macpherson, A.J. Interactions between the microbiota and the immune system. Science 2012, 336, 1268–1273. [Google Scholar] [CrossRef] [Green Version]
  123. Louis, P.; Hold, G.L.; Flint, H.J. The gut microbiota, bacterial metabolites and colorectal cancer. Nat. Rev. Microbiol. 2014, 12, 661–672. [Google Scholar] [CrossRef]
  124. Burgess, S.L.; Buonomo, E.; Carey, M.; Cowardin, C.; Naylor, C.; Noor, Z.; Wills-Karp, M.; Petri, W.A., Jr. Bone marrow dendritic cells from mice with an altered microbiota provide interleukin 17A-dependent protection against Entamoeba histolytica colitis. MBio 2014, 5, e01817. [Google Scholar] [CrossRef] [Green Version]
  125. Tai, E.; Richardson, L.C.; Townsend, J.; Howard, E.; Mcdonald, L.C. Clostridium Difficile Infection among Children with Cancer. Pediatr. Infect. Dis. J. 2011, 30, 610–612. [Google Scholar] [CrossRef]
  126. Rajagopala, S.V.; Yooseph, S.; Harkins, D.M.; Moncera, K.J.; Zabokrtsky, K.B.; Torralba, M.G.; Tovchigrechko, A.; Highlander, S.K.; Pieper, R.; Sender, L.; et al. Gastrointestinal microbial populations can distinguish pediatric and adolescent Acute Lymphoblastic Leukemia (ALL) at the time of disease diagnosis. BMC Genom. 2016, 17, 635. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Wang, Y.; Xue, J.; Zhou, X.; You, M.; Du, Q.; Yang, X.; He, J.; Zou, J.; Cheng, L.; Li, M.; et al. Oral microbiota distinguishes acute lymphoblastic leukemia pediatric hosts from healthy populations. PLoS ONE 2014, 9, e102116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  128. Schwabe, R.F.; Jobin, C. The microbiome and cancer. Nat. Rev. Cancer 2013, 13, 800–812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  129. Karin, M.; Jobin, C.; Balkwill, F. Chemotherapy, immunity and microbiota—a new triumvirate? Nat. Med. 2014, 20, 126–127. [Google Scholar] [CrossRef]
  130. Urbaniak, C.; Gloor, G.B.; Brackstone, M.; Scott, L.; Tangney, M.; Reid, G. The Microbiota of Breast Tissue and Its Association with Breast Cancer. Appl. Environ. Microbiol. 2016, 82, 5039–5048. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  131. Hieken, T.J.; Chen, J.; Hoskin, T.L.; Walther-Antonio, M.; Johnson, S.; Ramaker, S.; Xiao, J.; Radisky, D.C.; Knutson, K.L.; Kalari, K.R.; et al. The Microbiome of Aseptically Collected Human Breast Tissue in Benign and Malignant Disease. Sci. Rep. 2016, 6, 30751. [Google Scholar] [CrossRef]
  132. Kwa, M.; Plottel, C.S.; Blaser, M.J.; Adams, S. The Intestinal Microbiome and Estrogen Receptor-Positive Female Breast Cancer. J. Natl. Cancer Inst. 2016, 108. [Google Scholar] [CrossRef]
  133. Mariat, D.; Firmesse, O.; Levenez, F.; Guimaraes, V.; Sokol, H.; Dore, J.; Corthier, G.; Furet, J.P. The Firmicutes/Bacteroidetes ratio of the human microbiota changes with age. BMC Microbiol. 2009, 9, 123. [Google Scholar] [CrossRef]
  134. Hullar, M.A.; Burnett-Hartman, A.N.; Lampe, J.W. Gut microbes, diet, and cancer. Cancer Treat. Res. 2014, 159, 377–399. [Google Scholar] [CrossRef] [Green Version]
  135. Modi, S.R.; Collins, J.J.; Relman, D.A. Antibiotics and the gut microbiota. J. Clin. Invest. 2014, 124, 4212–4218. [Google Scholar] [CrossRef] [Green Version]
  136. Jakobsson, H.E.; Jernberg, C.; Andersson, A.F.; Sjolund-Karlsson, M.; Jansson, J.K.; Engstrand, L. Short-term antibiotic treatment has differing long-term impacts on the human throat and gut microbiome. PLoS ONE 2010, 5, e9836. [Google Scholar] [CrossRef] [Green Version]
  137. Dethlefsen, L.; Huse, S.; Sogin, M.L.; Relman, D.A. The pervasive effects of an antibiotic on the human gut microbiota, as revealed by deep 16S rRNA sequencing. PLoS Biol. 2008, 6, e280. [Google Scholar] [CrossRef] [PubMed]
  138. Kilkkinen, A.; Rissanen, H.; Klaukka, T.; Pukkala, E.; Heliovaara, M.; Huovinen, P.; Mannisto, S.; Aromaa, A.; Knekt, P. Antibiotic use predicts an increased risk of cancer. Int. J. Cancer 2008, 123, 2152–2155. [Google Scholar] [CrossRef] [PubMed]
  139. Goedert, J.J.; Jones, G.; Hua, X.; Xu, X.; Yu, G.; Flores, R.; Falk, R.T.; Gail, M.H.; Shi, J.; Ravel, J.; et al. Investigation of the association between the fecal microbiota and breast cancer in postmenopausal women: A population-based case-control pilot study. J. Natl. Cancer Inst. 2015, 107. [Google Scholar] [CrossRef]
  140. Ferreira, R.M.; Pereira-Marques, J.; Pinto-Ribeiro, I.; Costa, J.L.; Carneiro, F.; Machado, J.C.; Figueiredo, C. Gastric microbial community profiling reveals a dysbiotic cancer-associated microbiota. Gut 2018, 67, 226–236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  141. Aviles-Jimenez, F.; Vazquez-Jimenez, F.; Medrano-Guzman, R.; Mantilla, A.; Torres, J. Stomach microbiota composition varies between patients with non-atrophic gastritis and patients with intestinal type of gastric cancer. Sci. Rep. 2014, 4, 4202. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  142. Bik, E.M.; Eckburg, P.B.; Gill, S.R.; Nelson, K.E.; Purdom, E.A.; Francois, F.; Perez-Perez, G.; Blaser, M.J.; Relman, D.A. Molecular analysis of the bacterial microbiota in the human stomach. Proc. Natl. Acad. Sci. USA 2006, 103, 732–737. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  143. Delgado, S.; Cabrera-Rubio, R.; Mira, A.; Suarez, A.; Mayo, B. Microbiological survey of the human gastric ecosystem using culturing and pyrosequencing methods. Microb. Ecol. 2013, 65, 763–772. [Google Scholar] [CrossRef]
  144. Andersson, A.F.; Lindberg, M.; Jakobsson, H.; Backhed, F.; Nyren, P.; Engstrand, L. Comparative analysis of human gut microbiota by barcoded pyrosequencing. PLoS ONE 2008, 3, e2836. [Google Scholar] [CrossRef]
  145. Rajilic-Stojanovic, M.; de Vos, W.M. The first 1000 cultured species of the human gastrointestinal microbiota. FEMS Microbiol. Rev. 2014, 38, 996–1047. [Google Scholar] [CrossRef] [PubMed]
  146. Kelly, C.P.; LaMont, J.T. Clostridium difficile—more difficult than ever. N. Engl. J. Med. 2008, 359, 1932–1940. [Google Scholar] [CrossRef] [PubMed]
  147. Dicksved, J.; Lindberg, M.; Rosenquist, M.; Enroth, H.; Jansson, J.K.; Engstrand, L. Molecular characterization of the stomach microbiota in patients with gastric cancer and in controls. J. Med. Microbiol. 2009, 58, 509–516. [Google Scholar] [CrossRef] [PubMed]
  148. Tjalsma, H.; Boleij, A.; Marchesi, J.R.; Dutilh, B.E. A bacterial driver-passenger model for colorectal cancer: Beyond the usual suspects. Nat. Rev. Microbiol. 2012, 10, 575–582. [Google Scholar] [CrossRef] [PubMed]
  149. Qin, J.; Li, R.; Raes, J.; Arumugam, M.; Burgdorf, K.S.; Manichanh, C.; Nielsen, T.; Pons, N.; Levenez, F.; Yamada, T.; et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 2010, 464, 59–65. [Google Scholar] [CrossRef] [Green Version]
  150. Xu, S.; Yin, W.; Zhang, Y.; Lv, Q.; Yang, Y.; He, J. Foes or Friends? Bacteria Enriched in the Tumor Microenvironment of Colorectal Cancer. Cancers 2020, 12, 372. [Google Scholar] [CrossRef] [Green Version]
  151. Flint, H.J.; Scott, K.P.; Louis, P.; Duncan, S.H. The role of the gut microbiota in nutrition and health. Nat. Rev. Gastroenterol. Hepatol. 2012, 9, 577–589. [Google Scholar] [CrossRef]
  152. Arthur, J.C.; Gharaibeh, R.Z.; Muhlbauer, M.; Perez-Chanona, E.; Uronis, J.M.; McCafferty, J.; Fodor, A.A.; Jobin, C. Microbial genomic analysis reveals the essential role of inflammation in bacteria-induced colorectal cancer. Nat. Commun. 2014, 5, 4724. [Google Scholar] [CrossRef] [Green Version]
  153. Castellarin, M.; Warren, R.L.; Freeman, J.D.; Dreolini, L.; Krzywinski, M.; Strauss, J.; Barnes, R.; Watson, P.; Allen-Vercoe, E.; Moore, R.A.; et al. Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma. Genome Res. 2012, 22, 299–306. [Google Scholar] [CrossRef] [Green Version]
  154. Kostic, A.D.; Chun, E.; Robertson, L.; Glickman, J.N.; Gallini, C.A.; Michaud, M.; Clancy, T.E.; Chung, D.C.; Lochhead, P.; Hold, G.L.; et al. Fusobacterium nucleatum potentiates intestinal tumorigenesis and modulates the tumor-immune microenvironment. Cell Host Microbe. 2013, 14, 207–215. [Google Scholar] [CrossRef] [Green Version]
  155. Mira-Pascual, L.; Cabrera-Rubio, R.; Ocon, S.; Costales, P.; Parra, A.; Suarez, A.; Moris, F.; Rodrigo, L.; Mira, A.; Collado, M.C. Microbial mucosal colonic shifts associated with the development of colorectal cancer reveal the presence of different bacterial and archaeal biomarkers. J. Gastroenterol. 2015, 50, 167–179. [Google Scholar] [CrossRef] [PubMed]
  156. Lucas, C.; Barnich, N.; Nguyen, H.T.T. Microbiota, Inflammation and Colorectal Cancer. Int. J. Mol. Sci. 2017, 18, 1310. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Moore, W.E.; Moore, L.H. Intestinal floras of populations that have a high risk of colon cancer. Appl. Environ. Microbiol. 1995, 61, 3202–3207. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  158. Chen, W.; Liu, F.; Ling, Z.; Tong, X.; Xiang, C. Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer. PLoS ONE 2012, 7, e39743. [Google Scholar] [CrossRef] [PubMed]
  159. Gao, Z.; Guo, B.; Gao, R.; Zhu, Q.; Qin, H. Microbiota disbiosis is associated with colorectal cancer. Front. Microbiol. 2015, 6, 20. [Google Scholar] [CrossRef] [PubMed]
  160. Zambirinis, C.P.; Pushalkar, S.; Saxena, D.; Miller, G. Pancreatic cancer, inflammation, and microbiome. Cancer J. 2014, 20, 195–202. [Google Scholar] [CrossRef] [Green Version]
  161. Takayama, S.; Takahashi, H.; Matsuo, Y.; Okada, Y.; Manabe, T. Effects of Helicobacter pylori infection on human pancreatic cancer cell line. Hepatogastroenterology 2007, 54, 2387–2391. [Google Scholar]
  162. Schulte, A.; Pandeya, N.; Fawcett, J.; Fritschi, L.; Risch, H.A.; Webb, P.M.; Whiteman, D.C.; Neale, R.E. Association between Helicobacter pylori and pancreatic cancer risk: A meta-analysis. Cancer Causes Control 2015, 26, 1027–1035. [Google Scholar] [CrossRef]
  163. Farrell, J.J.; Zhang, L.; Zhou, H.; Chia, D.; Elashoff, D.; Akin, D.; Paster, B.J.; Joshipura, K.; Wong, D.T. Variations of oral microbiota are associated with pancreatic diseases including pancreatic cancer. Gut 2012, 61, 582–588. [Google Scholar] [CrossRef]
  164. Archibugi, L.; Signoretti, M.; Capurso, G. The Microbiome and Pancreatic Cancer: An Evidence-based Association? Proceedings from the 9th Probiotics, Prebiotics and New Foods, Nutraceuticals and Botanicals for Nutrition & Human and Microbiota Health Meeting, held in Rome, Italy from September 10 to 12, 2017. J. Clin. Gastroenterol. 2018, 52 (Suppl. 1), S82–S85. [Google Scholar] [CrossRef]
  165. Torres, P.J.; Fletcher, E.M.; Gibbons, S.M.; Bouvet, M.; Doran, K.S.; Kelley, S.T. Characterization of the salivary microbiome in patients with pancreatic cancer. PeerJ 2015, 3, e1373. [Google Scholar] [CrossRef]
  166. Ren, Z.; Jiang, J.; Xie, H.; Li, A.; Lu, H.; Xu, S.; Zhou, L.; Zhang, H.; Cui, G.; Chen, X.; et al. Gut microbial profile analysis by MiSeq sequencing of pancreatic carcinoma patients in China. Oncotarget 2017, 8, 95176–95191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Olson, S.H.; Satagopan, J.; Xu, Y.; Ling, L.; Leong, S.; Orlow, I.; Saldia, A.; Li, P.; Nunes, P.; Madonia, V.; et al. The oral microbiota in patients with pancreatic cancer, patients with IPMNs, and controls: A pilot study. Cancer Causes Control 2017, 28, 959–969. [Google Scholar] [CrossRef] [PubMed]
  168. Leal-Lopes, C.; Velloso, F.J.; Campopiano, J.C.; Sogayar, M.C.; Correa, R.G. Roles of Commensal Microbiota in Pancreas Homeostasis and Pancreatic Pathologies. J. Diabetes Res. 2015, 2015, 284680. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  169. Mitsuhashi, K.; Nosho, K.; Sukawa, Y.; Matsunaga, Y.; Ito, M.; Kurihara, H.; Kanno, S.; Igarashi, H.; Naito, T.; Adachi, Y.; et al. Association of Fusobacterium species in pancreatic cancer tissues with molecular features and prognosis. Oncotarget 2015, 6, 7209–7220. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  170. Bultman, S.J. Emerging roles of the microbiome in cancer. Carcinogenesis 2014, 35, 249–255. [Google Scholar] [CrossRef] [Green Version]
  171. Memba, R.; Duggan, S.N.; Ni Chonchubhair, H.M.; Griffin, O.M.; Bashir, Y.; O’Connor, D.B.; Murphy, A.; McMahon, J.; Volcov, Y.; Ryan, B.M.; et al. The potential role of gut microbiota in pancreatic disease: A systematic review. Pancreatol. Off. J. Int. Assoc. Pancreatol. 2017, 17, 867–874. [Google Scholar] [CrossRef]
  172. McAllister, F.; Khan, M.A.W.; Helmink, B.; Wargo, J.A. The Tumor Microbiome in Pancreatic Cancer: Bacteria and Beyond. Cancer Cell 2019, 36, 577–579. [Google Scholar] [CrossRef]
  173. Lax, A.J.; Thomas, W. How bacteria could cause cancer: One step at a time. Trends Microbiol. 2002, 10, 293–299. [Google Scholar] [CrossRef]
  174. Mager, D.L.; Haffajee, A.D.; Devlin, P.M.; Norris, C.M.; Posner, M.R.; Goodson, J.M. The salivary microbiota as a diagnostic indicator of oral cancer: A descriptive, non-randomized study of cancer-free and oral squamous cell carcinoma subjects. J. Transl. Med. 2005, 3, 27. [Google Scholar] [CrossRef] [Green Version]
  175. Mager, D.L. Bacteria and cancer: Cause, coincidence or cure? A review. J. Transl. Med. 2006, 4, 14. [Google Scholar] [CrossRef] [Green Version]
  176. Schmidt, B.L.; Kuczynski, J.; Bhattacharya, A.; Huey, B.; Corby, P.M.; Queiroz, E.L.; Nightingale, K.; Kerr, A.R.; DeLacure, M.D.; Veeramachaneni, R.; et al. Changes in abundance of oral microbiota associated with oral cancer. PLoS ONE 2014, 9, e98741. [Google Scholar] [CrossRef]
  177. Healy, C.M.; Moran, G.P. The microbiome and oral cancer: More questions than answers. Oral Oncol. 2019, 89, 30–33. [Google Scholar] [CrossRef] [PubMed]
  178. Bloching, M.; Reich, W.; Schubert, J.; Grummt, T.; Sandner, A. The influence of oral hygiene on salivary quality in the Ames Test, as a marker for genotoxic effects. Oral Oncol. 2007, 43, 933–939. [Google Scholar] [CrossRef]
  179. Iida, N.; Dzutsev, A.; Stewart, C.A.; Smith, L.; Bouladoux, N.; Weingarten, R.A.; Molina, D.A.; Salcedo, R.; Back, T.; Cramer, S.; et al. Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment. Science 2013, 342, 967–970. [Google Scholar] [CrossRef] [PubMed]
  180. Viaud, S.; Saccheri, F.; Mignot, G.; Yamazaki, T.; Daillere, R.; Hannani, D.; Enot, D.P.; Pfirschke, C.; Engblom, C.; Pittet, M.J.; et al. The intestinal microbiota modulates the anticancer immune effects of cyclophosphamide. Science 2013, 342, 971–976. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  181. Bronckaers, A.; Balzarini, J.; Liekens, S. The cytostatic activity of pyrimidine nucleosides is strongly modulated by Mycoplasma hyorhinis infection: Implications for cancer therapy. Biochem. Pharmacol. 2008, 76, 188–197. [Google Scholar] [CrossRef]
  182. Geller, L.T.; Barzily-Rokni, M.; Danino, T.; Jonas, O.H.; Shental, N.; Nejman, D.; Gavert, N.; Zwang, Y.; Cooper, Z.A.; Shee, K.; et al. Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine. Science 2017, 357, 1156–1160. [Google Scholar] [CrossRef] [Green Version]
  183. Paulos, C.M.; Wrzesinski, C.; Kaiser, A.; Hinrichs, C.S.; Chieppa, M.; Cassard, L.; Palmer, D.C.; Boni, A.; Muranski, P.; Yu, Z.; et al. Microbial translocation augments the function of adoptively transferred self/tumor-specific CD8+ T cells via TLR4 signaling. J. Clin. Invest. 2007, 117, 2197–2204. [Google Scholar] [CrossRef]
  184. Vetizou, M.; Pitt, J.M.; Daillere, R.; Lepage, P.; Waldschmitt, N.; Flament, C.; Rusakiewicz, S.; Routy, B.; Roberti, M.P.; Duong, C.P.; et al. Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota. Science 2015, 350, 1079–1084. [Google Scholar] [CrossRef] [Green Version]
  185. Chaput, N.; Lepage, P.; Coutzac, C.; Soularue, E.; Le Roux, K.; Monot, C.; Boselli, L.; Routier, E.; Cassard, L.; Collins, M.; et al. Baseline gut microbiota predicts clinical response and colitis in metastatic melanoma patients treated with ipilimumab. Ann. Oncol. 2017, 28, 1368–1379. [Google Scholar] [CrossRef]
  186. Gopalakrishnan, V.; Spencer, C.N.; Nezi, L.; Reuben, A.; Andrews, M.C.; Karpinets, T.V.; Prieto, P.A.; Vicente, D.; Hoffman, K.; Wei, S.C.; et al. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science 2018, 359, 97–103. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  187. Roy, S.; Trinchieri, G. Microbiota: A key orchestrator of cancer therapy. Nat. Rev. Cancer 2017, 17, 271–285. [Google Scholar] [CrossRef] [PubMed]
  188. Cui, M.; Xiao, H.; Li, Y.; Zhou, L.; Zhao, S.; Luo, D.; Zheng, Q.; Dong, J.; Zhao, Y.; Zhang, X.; et al. Faecal microbiota transplantation protects against radiation-induced toxicity. EMBO Mol. Med. 2017, 9, 448–461. [Google Scholar] [CrossRef]
  189. Rollins, K.E.; Javanmard-Emamghissi, H.; Acheson, A.G.; Lobo, D.N. The Role of Oral Antibiotic Preparation in Elective Colorectal Surgery: A Meta-analysis. Ann. Surg. 2019, 270, 43–58. [Google Scholar] [CrossRef] [PubMed]
  190. Villeger, R.; Lopes, A.; Carrier, G.; Veziant, J.; Billard, E.; Barnich, N.; Gagniere, J.; Vazeille, E.; Bonnet, M. Intestinal Microbiota: A Novel Target to Improve Anti-Tumor Treatment? Int. J. Mol. Sci. 2019, 20, 4584. [Google Scholar] [CrossRef] [Green Version]
  191. Roberts, A.B.; Wallace, B.D.; Venkatesh, M.K.; Mani, S.; Redinbo, M.R. Molecular insights into microbial beta-glucuronidase inhibition to abrogate CPT-11 toxicity. Mol. Pharmacol. 2013, 84, 208–217. [Google Scholar] [CrossRef] [Green Version]
  192. Nakayama, H.; Kinouchi, T.; Kataoka, K.; Akimoto, S.; Matsuda, Y.; Ohnishi, Y. Intestinal anaerobic bacteria hydrolyse sorivudine, producing the high blood concentration of 5-(E)-(2-bromovinyl)uracil that increases the level and toxicity of 5-fluorouracil. Pharmacogenetics 1997, 7, 35–43. [Google Scholar] [CrossRef]
  193. Ferreira, M.R.; Muls, A.; Dearnaley, D.P.; Andreyev, H.J. Microbiota and radiation-induced bowel toxicity: Lessons from inflammatory bowel disease for the radiation oncologist. Lancet Oncol. 2014, 15, e139–e147. [Google Scholar] [CrossRef]
Figure 1. Infectious agents and associated cancer types. This figure was produced, in part, using Servier Medical Art (https://smart.servier.com).
Figure 1. Infectious agents and associated cancer types. This figure was produced, in part, using Servier Medical Art (https://smart.servier.com).
Ijms 21 03115 g001
Figure 2. Microbiota in normal and cancer tissues. This figure was produced, in part, using Servier Medical Art (https://smart.servier.com).
Figure 2. Microbiota in normal and cancer tissues. This figure was produced, in part, using Servier Medical Art (https://smart.servier.com).
Ijms 21 03115 g002
Table 1. Worldwide number of new cases and deaths for cancers with associated infectious agents identified (Cancer Facts & Figures 2019).
Table 1. Worldwide number of new cases and deaths for cancers with associated infectious agents identified (Cancer Facts & Figures 2019).
Cancer TypesNo. of New Cases
(% of All Sites)
No. of Deaths
(% of All Sites)
Bladder549,393 (3)199,922 (2,1)
Breast2,088,849 (11,6)626,679 (6,6)
Cervical569,847 (3,2)311,365 (3,3)
Colon1,096,601 (6,1)551,269 (5,8)
Gastric1,033,701 (5,7)782,685 (8,2)
Kaposi41,799 (0,2)19,902 (0,2)
Liver841,080 (4,7)781,631 (8,2)
Lung2,093,876 (11,6)1,761,007 (18,4)
Nasopharyngeal129,079 (0,7)72,987 (0,8)
Non-Hodgkin lymphoma509,590 (2,8)248,724 (2,6)
Pancreatic458,918 (2,5)432,242 (4,5)

Share and Cite

MDPI and ACS Style

Azevedo, M.M.; Pina-Vaz, C.; Baltazar, F. Microbes and Cancer: Friends or Faux? Int. J. Mol. Sci. 2020, 21, 3115. https://doi.org/10.3390/ijms21093115

AMA Style

Azevedo MM, Pina-Vaz C, Baltazar F. Microbes and Cancer: Friends or Faux? International Journal of Molecular Sciences. 2020; 21(9):3115. https://doi.org/10.3390/ijms21093115

Chicago/Turabian Style

Azevedo, Maria Manuel, Cidália Pina-Vaz, and Fátima Baltazar. 2020. "Microbes and Cancer: Friends or Faux?" International Journal of Molecular Sciences 21, no. 9: 3115. https://doi.org/10.3390/ijms21093115

APA Style

Azevedo, M. M., Pina-Vaz, C., & Baltazar, F. (2020). Microbes and Cancer: Friends or Faux? International Journal of Molecular Sciences, 21(9), 3115. https://doi.org/10.3390/ijms21093115

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop