Next Article in Journal
MicroRNAs Participate in Morphological Acclimation of Sugar Beet Roots to Nitrogen Deficiency
Previous Article in Journal
A Fungicide, Fludioxonil, Formed the Polyploid Giant Cancer Cells and Induced Metastasis and Stemness in MDA-MB-231 Triple-Negative Breast Cancer Cells
Previous Article in Special Issue
Correlation between Circulating miR-16, miR-29a, miR-144 and miR-150, and the Radiotherapy Response and Survival of Non-Small-Cell Lung Cancer Patients
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 25
Issue 16
10.3390/ijms25169025
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Circulating Bacterial DNA in Colorectal Cancer Patients: The Potential Role of Fusobacterium nucleatum

by
Ioannis Koliarakis
1,
Ilias Lagkouvardos
2,
Konstantinos Vogiatzoglou
3,
Ioannis Tsamandouras
4,
Evangelia Intze
2,
Ippokratis Messaritakis
3,5,
John Souglakos
3,6 and
John Tsiaoussis
1,*
1
Department of Anatomy, School of Medicine, University of Crete, 70013 Heraklion, Greece
2
Department of Clinical Microbiology, School of Medicine, University of Crete, 70013 Heraklion, Greece
3
Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece
4
Department of Otorhinolaryngology—Head and Neck Surgery, University General Hospital of Heraklion, 71110 Heraklion, Greece
5
Department of Microbiology, German Oncology Center, Yiannoukas Labs LTD, Bioiatriki Group, Limassol 4108, Cyprus
6
Department of Medical Oncology, University Hospital of Heraklion, 71110 Heraklion, Greece
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(16), 9025; https://doi.org/10.3390/ijms25169025
Submission received: 15 July 2024 / Revised: 12 August 2024 / Accepted: 16 August 2024 / Published: 20 August 2024
(This article belongs to the Special Issue Circulating Cell-Free Nucleic Acids and Cancers: 2nd Edition)
Browse Figure
Versions Notes

Abstract

:
Intestinal dysbiosis is a major contributor to colorectal cancer (CRC) development, leading to bacterial translocation into the bloodstream. This study aimed to evaluate the presence of circulated bacterial DNA (cbDNA) in CRC patients (n = 75) and healthy individuals (n = 25). DNA extracted from peripheral blood was analyzed using PCR, with specific primers targeting 16S rRNA, Escherichia coli (E. coli), and Fusobacterium nucleatum (F. nucleatum). High 16S rRNA and E. coli detections were observed in all patients and controls. Only the detection of F. nucleatum was significantly higher in metastatic non-excised CRC, compared to controls (p < 0.001), non-metastatic excised CRC (p = 0.023), and metastatic excised CRC (p = 0.023). This effect was mainly attributed to the presence of the primary tumor (p = 0.006) but not the presence of distant metastases (p = 0.217). The association of cbDNA with other clinical parameters or co-morbidities was also evaluated, revealing a higher detection of E. coli in CRC patients with diabetes (p = 0.004). These results highlighted the importance of bacterial translocation in CRC patients and the potential role of F. nucleatum as an intratumoral oncomicrobe in CRC.

1. Introduction

Colorectal cancer (CRC) is the third most common cancer worldwide and a leading cause of cancer mortality, accounting for 9% of all malignancies in adult patients [1]. Gradual accumulation of genetic mutations results in the formation of pre-cancerous lesions, which subsequently evolve into colorectal adenoma and, ultimately, invasive CRC [2]. Immune and inflammatory responses are crucial in all stages of colorectal tumorigenesis [3]. Earlier CRC detection has been made feasible through current innovations in screening endoscopy, imaging modalities, and therapeutic strategies (surgery, radiotherapy, and chemotherapy), leading to enhanced survival rates [4].
Up to 22% of CRC patients are identified with metastatic disease at diagnosis, and various studies indicate that approximately 70% of patients inevitably exhibit metastatic disease or recurrence, with up to 50% of cases involving synchronous or metachronous distant metastases [5]. Stage IV CRC patients typically have a poor prognosis, with a 14% 5-year survival rate. Hence, the development of efficient prognostic or diagnostic biomarkers is still a necessity.
The correlation between CRC and intestinal microbiota has been extensively evidenced. The diverse microbial ecosystem of the human intestinal microbiota constantly interacts with the host, maintaining homeostasis through constant synergistic interactions with the host. However, disruptions in microbiota composition could favor the proliferation of pathogenic bacteria, leading to detrimental effects, collectively termed “dysbiosis” [6]. Apart from alterations in microbial composition, dysbiosis also encompasses shifts in bacterial distribution and dysregulated metabolism, promoting colorectal tumorigenesis [7]. Such effects could lead to DNA damage, modulation of immunity, and an inflammatory response [8]. Interestingly, surgical stress subsequent to curative resection for CRC affects the host–microbiota interaction, further promoting dysbiosis [9]. Alterations in various bacterial genera, including Bacteroides, Bifidobacterium, Escherichia, Fusobacterium, and Lactobacillus, among others, have been demonstrated after CRC surgery [10]. Fusobacterium nucleatum (F. nucleatum), an invasive, pro-inflammatory pathogen, indigenous to the oral microbiota [11], is one of the most researched bacterial species in CRC. F. nucleatum triggers carcinogenesis mainly by stimulating the β-catenin cascade following the binding of the Fusobacterium adhesion A (FadA) protein to E-cadherin [12]. Various other mechanisms of colorectal tumorigenesis mediated by F. nucleatum include the upregulation of microRNA-21 through the stimulation of toll-like receptor (TLR) 4, the induction of Th17 responses through the increased production of interleukin (IL)-23, and causing DNA damage via the modulation of base excision repair (BER) [12]. Studies associate the higher abundance of F. nucleatum in metastatic disease with the reduced overall or cancer-specific survival in CRC patients [13].
Circulating bacterial DNA (cbDNA) in human blood has become evident [14]. Detection of cbDNA, through various molecular techniques [15,16], has also been reported as a reliable, non-invasive method for CRC screening and prediction of long-term outcomes in CRC patients, possibly participating in CRC pathogenesis [17,18]. However, there are limited data regarding the detection of cbDNA in patients with metastatic CRC, especially concerning any differences regarding the absence of the primary tumor due to previous surgical resection, and focusing on the presence of F. nucleatum. We hypothesize that the presence of the primary tumor with distant metastases could be associated with alterations in the cbDNA of CRC patients.
In this context, the present study aimed to investigate the detection of cbDNA in the blood of patients with CRC using a polymerase chain reaction (PCR)-based method, to compare patients with or without surgical resection of the primary tumor, as well as non-metastatic and metastatic diseases, and to evaluate any associations with the patients’ demographic and clinical parameters.

2. Results

2.1. Patients’ Characteristics

The epidemiological and clinical characteristics of patients and healthy individuals are summarized in Table 1 and Data S1. Patient groups with CRC were older (mean age range 57.8–62.9 years old) and had a higher body mass index (BMI) (mean BMI range 27.7–28.4 kg/m2), compared to Group 1. Most of the total participants (63%) were males. By design, all patients in Groups 2 and 3 underwent surgical resection of the primary tumor, whereas all patients in Groups 3 and 4 had metastatic disease (stage IV CRC). The majority of Group 2 patients (80%) had locally advanced (stage III) CRC. In Group 4 patients, the tumor location was evenly distributed between the left colon and the rectum (40% each), whereas the most common CRC site regarding non-metastatic groups was the right colon (40% in Groups 2 and 3, respectively). Pathologic staging of CRC was mostly intermediate (58.7% of all patients), while tumors presented microsatellite instability (MSI) in only 9.3% of CRC patients. The majority of patients were non-active smokers (64%) and reported no or infrequent alcohol consumption (89.3%), as determined by a negative Alcohol Use Disorders Identification Test-Concise (AUDIT-C) score (<3 in females and <4 in males). Regarding co-morbidities, most of the patients had cardiovascular disease (CVD) (45.3%), whereas diabetes and dyslipidemia were more common in Group 3 (44%) and Group 2 (36%), respectively. None of the Group 1 individuals had any co-morbidities.

2.2. Detection of cbDNA

In the results, 16S rRNA was detected in 84% of Group 1, 96% of Group 2, and 100% of Groups 3 and 4. The β-galactosidase gene of Escherichia coli (E. coli) was detected in 80% of Groups 1 and 2, 84% of Group 3, and 68% of Group 4. Since F. nucleatum has been extensively associated with metastatic CRC, having been characterized as an oncomicrobe mainly affecting the intratumoral microenvironment [13], we chose to specifically focus on its detection in the blood, since the majority of our patients’ cohorts had metastatic CRC, filling the knowledge gap in the current literature. Notably, the NusG gene of F. nucleatum was detected in 12% of Group 1, 32% of Groups 2 and 3, and 68% in Group 4 (Table 2 and Figure 1). Examples of E. coli and F. nucleatum detection are presented in Figure S1.
Pairwise comparisons between groups revealed a significantly higher detection of F. nucleatum in Group 4, compared to Group 1 (p < 0.001, adj. p < 0.001), as well as compared to Group 2 or 3 (p = 0.023, adj. p = 0.045). However, there were no statistically significant differences regarding the detection of 16S rRNA or E. coli among all groups (Table 3).
A further correlation of E. coli and F. nucleatum presences was performed after grouping the patients according to their clinical parameters. The detection of E. coli and F. nucleatum in blood was not significantly associated with differences in sex, metastasis, tumor location, grade, mismatch repair (MMR) status, smoking, alcohol consumption, dyslipidemia, or CVD (Table 4). Patients without surgical resection of the primary tumor presented a significantly higher detection of F. nucleatum, compared to those with surgical resection of the primary tumor (68% vs. 32%, p = 0.006). However, no such difference was observed concerning the detection of E. coli (68% vs. 82%, p = 0.242). Additionally, the detection of E. coli was significantly higher in patients with diabetes, compared to those without (100% vs. 69.6%, p = 0.004), whereas such an association was not evident with the presence of F. nucleatum (31.6% vs. 48.2%, p = 0.286).

3. Discussion

Lately, research groups have become increasingly interested in peripheral blood as a novel valuable source of cbDNA. PCR-based methods were developed in earlier studies, enabling the detection of cbDNA in CRC patients [19,20]. However, small cohorts were enrolled, and there was no discrimination between CRC patients’ characteristics or proper integration of control subjects. More recent studies relying on advanced PCR-based methods [17,18,21,22] or next-generation sequencing (NGS) methods [23,24] shed light on the elusive subject of cbDNA detection in CRC patients.
In brief, the present study reveals that cbDNA of 16S rRNA, E. coli, and F. nucleatum is present in the blood of healthy subjects and CRC patients. However, the origin of the cbDNA remains elusive. The presence of microbes in the blood may be attributed to occasional dissemination from various body reservoirs into the circulation, known as microbial translocation [25]. The main proposed mechanisms for this phenomenon are intestinal dysbiosis, dysfunction of the intestinal epithelial barrier, and increased permeability (“leaky-gut”). Notably, microbial components, including endotoxins, lipopeptides, and nucleic acids, among others, could also be present in the blood [26]. Additional mechanisms for bacterial translocation into the blood include the interaction of the microbiota with immune system cells, affecting multiple host functions [27], promoting chronic local and systemic inflammations [28], and utilizing dendritic cells or micro-fold cells [29]. Studies have shown that cbDNA is predominantly related to intestinal dysbiosis, although oral or skin microbiota could also serve as potential sources of cbDNA [23]. Studies have revealed great similarity of the F. nucleatum subtypes between saliva and tumor tissue samples in CRC [30], enhancing the hypothesis of orally-mediated intestinal dysbiosis. It is evident that in periodontitis, several oral pathogens, including F. nucleatum, are incorporated into complex oral biofilms, facilitating the translocation of oral pathogens into the intestinal ecosystem by invading the bloodstream or through swallowing saliva [31]. Residing in the colonic microbiota, they further promote dysbiosis. In our cohort, it is reasonable to suggest that the majority of the cbDNA could probably have originated from the intestinal or oral microbial community. Nevertheless, the primary factor, between the inflammatory response, alterations in microbiota composition, or increased intestinal permeability, leading to bacterial translocation remains unknown [32,33].
Our study demonstrated a high detection of 16S rRNA (84%) and E. coli (80%) in the blood of healthy subjects, which was non-significantly different, compared to CRC patients (96–100% and 68–84%, respectively). Similar to our study, Giacconi et al. [21], by using real-time qPCR, identified the presence of 16S rRNA in all 40 control subjects and 50 CRC patients, although the bacterial load was higher in CRC patients, compared to healthy subjects. Mutignani et al. [24], using NGS, detected 16S rRNA in all healthy controls and subjects with colorectal adenomas; CRC patients, again, presented with a higher cbDNA load. The abundance of E. coli did not differentiate between non-CRC and CRC subjects. Another study by Xiao et al. [23], also using NGS, analyzed the cbDNA between healthy controls and patients with colorectal adenoma or CRC. A prominent and distinctive circulating cbDNA profile was identified between CRC patients and healthy subjects, highlighting 28 species deriving from intestinal or oral microbiota, which did not include E. coli. Messaritakis et al. [17], however, reported a higher PCR detection of 16S rRNA in a larger cohort of 397 CRC patients (64.5%), compared to 32 healthy controls (15.6%). Notably, although there was no association concerning E. coli detection between these groups (p = 0.186), in accordance with our results, the percentages of positivity were significantly lower, compared to our study (15.6% in the control group and 26.2% in the CRC group).
The biological causes underlying these discrepancies are largely unknown. Concerning 16S rRNA, our study demonstrates a potentially substantial impairment of the intestinal permeability in healthy individuals, leading to bacterial circulation, in accordance with previous reports [34]. Moreover, E. coli is an almost exclusively nonpathogenic commensal species of the intestinal microbiota, having been detected as a member of the intestinal microbiome in over 90% of healthy individuals [35]. The current literature regarding E. coli and CRC is largely ambiguous regarding its over- or under-representation in CRC-related microbiota, compared to controls. This phenomenon is possibly due to the different abundances of the various phylotypes of E. coli (A, B1, B2, and D), where E. coli strains belonging to phylotype A are mostly commensal, while strains of the B2 phylotype are mainly considered virulent species [36]. It is difficult to explain the lack of difference in 16S rRNA or E. coli between CRC patients and healthy subjects, since inflammatory responses in the CRC microenvironment could also affect bacterial dissemination [37]. This outcome could be partially attributed to a variety in size or shape inclinations in the gut–blood bacterial translocation. It should further be emphasized that the present study compared healthy controls with stage IV CRC with or without surgical resection of the primary tumor and stage III CRC with surgical resection of the primary tumor, whereas in the aforementioned studies, the pool of CRC patients included patients with intestinal adenomas or stage I-III CRC without surgical resection of the primary tumor. Hence, our results are not directly comparable to these studies and should be carefully interpreted. The detection of bacterial by-products (metabolites or toxins) in the bloodstream may further aid the differentiation between tumor-free individuals and CRC patients. Future multi-omic studies integrating the analysis of cbDNA with microbiota profiling and the metabolome could unveil the molecular mechanism of cbDNA alteration in CRC tumorigenesis.
In this study, we also report a significantly higher detection of F. nucleatum cbDNA in CRC patients (32–68%), compared to healthy subjects (12%). This is in accordance with the higher identification of F. nucleatum in mucosal and fecal samples from CRC patients, promoting intestinal dysbiosis [38,39,40]. To date, only the study by Xiao et al. [23] compared the F. nucleatum in the blood but found no significant difference between CRC patients and the controls. However, this difference may be due to the relatively small sample size of their study, in addition to the inclusion of only earlier-stage CRC (II/III) and the different demographic or environmental variables.
Interestingly, in our setting, the detection of F. nucleatum cbDNA was significantly higher in the stage IV CRC patients without surgical resection of the primary tumor, compared to stage II/III CRC or stage IV CRC patients with surgical resection of the primary tumor. This finding is in line with the current evidence that F. nucleatum constitutes a predominantly intratumoral oncomicrobe affecting the tumor microenvironment in promoting CRC pathogenesis [41], and its presence has also been extensively correlated with advanced CRC stages [42]. Nevertheless, it has been demonstrated that the surgical resection of the primary tumor in CRC patients could enhance or reduce the abundance of F. nucleatum in the gut [43,44,45]. Thus, our results indicate that the resection of the primary tumor could disrupt the active oral–gut axis in stage IV CRC, reducing the circulation of F. nucleatum.
E. coli cbDNA was not significantly different between CRC patients with or without surgical resection of the primary tumor in our study. Only one study by Koulouridi et al. [18] investigated the detection of E. coli in the blood of stage III CRC patients with surgical resection of the primary tumor, reporting a lower frequency (21.5%) in comparison with our results (82%). Studies on the gut microbiota of CRC patients revealed reduced populations of E. coli in cancerous tissue, compared to adjacent healthy mucosa [46], while others reported inconsistent alterations of E. coli abundance in surgically treated CRC patients [45,47,48], which could merely explain these results. Research has revealed that in CRC, E. coli could invade the weakened intestinal vascular barrier and be released into the portal circulation, colonizing the liver and promoting liver metastasis [49]. This fact, in combination with the observation that E. coli is not a strictly intratumoral microbe [47,50], could explain the similarity in the detections of E. coli cbDNA between stage IV CRC patients with or without surgical resection of the primary tumor. Notably, we further observed that neither E. coli nor F. nucleatum cbDNA was significantly altered between non-metastatic (stage II/III) and metastatic (stage IV) CRC patients. F. nucleatum was thoroughly correlated with increased tumor invasion and lymph node or distant metastases [13,42], promoting metastasis by regulating signaling molecules, including IL-8, C-X-C motif chemokine ligand 1 (CXCL1), and keratin 7 (KRT7) [50]. E. coli has also been implicated in metastatic colorectal disease in combination with circulating tumor cells [51]. Similar to our results, Giacconi et al. [21] revealed no correlation between increased cbDNA levels and the tumor stage or the presence of distant metastases. The authors hypothesized that this finding might support the concept that cbDNA primarily plays a role in the early development of CRC. The study by Messaritakis et al. [17] reported a significantly higher presence of E. coli in stage IV CRC, compared to stage II/III; however, cases with or without surgical resection of the primary tumor were pooled together, which did not allow an accurate comparison with our data. Our study did not include stage II/III CRC cases without surgical resection of the primary tumor, thus presenting a further limitation in elucidating the aforementioned discrepancies regarding the cbDNA association with the CRC stage or metastases.
Tumor location was not associated with cbDNA detection in our setting, similar to previous PCR-based reports [17]. The utilization of NGS by Mutignani et al. [24] displayed an enhanced bacterial transition from the intestinal environment to blood circulation in right colon cancer, compared to rectal cancer. Regional discrepancies in genetic expression and immunological characteristics were also emphasized [52]. Furthermore, intestinal microbiota composition-related tumorigenic mechanisms also varied between the left colon, right colon, or rectum [53]. These data indicate the potential usefulness of sensitive NGS-based methods in discerning bacterial translocation according to the CRC site.
Regarding other demographic or clinical parameters of CRC patients, our study is unique in investigating any possible associations with cbDNA. Gut microbiota studies reveal a distinct microbiota profile in correlation with deficient mismatch repair [54] or high-graded CRC [55]. However, cbDNA detection in our cohorts revealed no significant differences in these characteristics. Several risk factors can contribute to intestinal dysbiosis, such as alcohol consumption [56] and smoking, as well as obesity [57]. Studies have also shown the definite presence of cbDNA in physiological conditions and various systematic diseases, including diabetes and metabolic or cardiovascular diseases [29,58]. The CRC patients in this study displayed several clinical characteristics, together with the aforementioned diseases linked to dysbiosis. Between all these factors, our study only revealed a strong correlation between the higher E. coli cbDNA presence in CRC patients and diabetes. The abundance of E. coli in the gut microbiota of patients with diabetes increased, serving as an opportunistic pathogen [59]. Nevertheless, the association of cbDNA detection with all of the above clinical factors or co-morbidities may be influenced by the impact of the small sample size involved in our research.
Apart from the aforementioned limitations, it should be noted that our study, by design, was a non-randomized prospective study. We were not able to adjust for age between CRC and the controls, with the latter belonging to a significantly lower age range, removing potential factors that could influence the results of cbDNA by controlling for these covariates. However, to mitigate the effect of the small sample size, the gender and geographical distribution were equivalent between patient groups. The lack of thorough examinations of detailed blood microbiota profiling among participants is another limitation, as we used primers targeting specific species. The primary focus of the present study was on the cbDNA, with no investigation conducted on the compositions of other microorganisms, such as viruses or fungi, which have been recently discovered to be disrupted in fecal samples of CRC patients. Due to these factors, it is advisable to approach the outcomes primarily to generate new hypotheses.

4. Materials and Methods

4.1. Patients Enrollment and Study Design

From September 2021 to April 2024, 75 patients aged > 18 years old with previously diagnosed and histologically confirmed CRC were included in the present, prospective, multi-centered study. For reference, 25 healthy individuals aged > 18 years old, consisting of pre-graduate medical students from the School of Medicine, University of Crete, who volunteered for this study were also included, without any presence and/or history of benign or malignant neoplastic colorectal disease (Group 1). The patients were equally divided into three groups. Group 2 (n = 25) included patients with non-metastatic CRC who underwent surgical resection. Group 3 (n = 25) included patients with metastatic CRC who underwent surgical resection of the primary tumor. Group 4 (n = 25) included patients with metastatic CRC without surgical resection of the primary tumor.
Further exclusion criteria, which applied to all groups, included the administration of specific medications (antiemetic, antidiarrheal, antiparasitic, antiviral, antibiotic, probiotic, laxatives, non-steroidal anti-inflammatory, or corticosteroid drugs) within 4 weeks prior to sampling, radiographic studies with barium enema within 1 week prior to sampling, active rectal bleeding, individuals with a creatinine clearance (measured by the Cockcroft–Gault equation) < 30 mL/min, pregnancy, presence of any active bacterial or viral infection, synchronous neoplastic disease elsewhere in the body, genetic disease, and CRC due to familial adenomatous polyposis or Lynch syndrome.
All patients were treated at the University Hospital of Heraklion (Department of Medical Oncology, Department of General Surgery, and Department of Surgical Oncology), at the Venizeleio General Hospital of Heraklion (Department of Oncology and Department of Surgery), and at the Creta InterClinic Hospital (Department of Surgery).

4.2. Ethics Approval

The study was approved by the Research Ethics Committees of the Creta InterClinic Hospital (9 July 2021, the Venizeleio General Hospital of Heraklion (23/14 July 2023), the University Hospital of Heraklion (23743/2 October 2023), and the University of Crete (119/24 October 2023). Informed consent was provided to and signed by all participants. The conducted procedures adhered to the ethical criteria set by the aforementioned committees.

4.3. Blood Sampling and DNA Extraction

Peripheral blood (3 mL in EDTA) was collected from all healthy subjects and CRC patients. Samples were collected just before the initiation of any adjuvant or first-line treatments. NucleoSpin© Blood DNA kit (Macherey-Nagel, Düren, Germany) was used for whole-blood genomic DNA extraction, according to the manufacturer’s protocol. DNA quantification was performed by utilizing the NanoDrop ND-1000 v3.3 (Thermo Fisher Scientific, Waltham, MA, USA) spectrophotometer.

4.4. PCR Amplification of Microbial DNA

PCR is the predominant molecular method used to identify pathogens. Typically, for a more complete characterization of the microbiota, NGS is used. However, it should be noted that only a subset of the variable regions is targeted (V1–V3, or V4–V5), which may bias results, leading to the under- or overrepresentation of certain bacterial taxa [60]. It has been stated that PCR-based methods could overcome the amplification bias of NGS, which is crucial in enhancing the reproducibility of the results by targeting genes unique to specific microbial species [61]. Due to the above reasons, PCR was used in our setting as a reliable, highly-sensitive, and cost-effective alternative to NGS for the detection of specific bacterial species of major clinical importance in CRC.
Two oligonucleotide primer pairs were used to detect cbDNA via PCR: the β-galactosidase gene of E. coli [17,18] and the NusG gene of F. nucleatum. These primers have also been used in previous reports with conventional PCR-based analysis [17,18,62], yielding high-quality results, thus making them suitable for the purpose of our study. DNA integrity of the samples was performed by using glyceraldehyde phospho-dehydrogenase (GAPDH) as the reference primer [17,18]. For the reference marker in the detection of cbDNA, 16S rRNA primers were also used in accordance with previous studies [17,18]. The PCR conditions, primer sequences, and fragment size of amplicons for each target gene are reported in Table S1.

4.5. Statistical Analysis

Descriptive and inferential statistics were performed regarding the patients’ and healthy individuals’ baseline variables (demographic characteristics and clinical parameters). Comparisons between categorical variables were calculated with Pearson’s chi-square test. Adjusted (adj.) p-values through Bonferroni correction were also provided in cases of multiple comparisons. Statistical analysis was performed via SPSS v. 26 (IBM Corp. Armonk, New York, USA). Statistical significance was indicated at the conventional p < 0.05 threshold.

5. Conclusions

In conclusion, our study confirms the presence of cbDNA in healthy individuals and patients with CRC. High presences of 16S rRNA and E. coli were revealed in all participants, providing strong evidence for bacterial translocation. Moreover, the significantly higher detection of F. nucleatum in the blood of patients with metastatic CRC without surgical resection of the primary tumor confirms the role of this bacterium as an intratumoral pathogen associated with advanced stages of CRC. Future studies should focus on correlating these findings with patients’ outcomes and survival, along with additional disease markers (e.g., fecal calprotectin, C-reactive protein [CRP], or cytokines), possibly elucidating the role of F. nucleatum as a prognostic biomarker in metastatic CRC. For further investigation of the sources of cbDNA, fecal and oral samples should be analyzed in the future, along with blood microbiota, using more advanced NGS-based methods, assessing the relationship between CRC and microbiota dysbiosis.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms25169025/s1.

Author Contributions

Conceptualization, J.T.; methodology, I.K., I.L., K.V., E.I., I.M. and J.T.; software, I.L.; validation, I.K. and I.L.; formal analysis, I.K., I.L. and E.I.; investigation, K.V. and I.T.; resources, K.V. and I.T.; data curation, I.K., I.L. and I.M.; writing—original draft preparation, I.K.; writing—review and editing, I.M., J.S. and J.T.; visualization, I.K. and K.V.; supervision, J.T.; project administration, J.T.; funding acquisition, J.S. and J.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by GastroIntestinal Cancer Study Group (GIC-SG) (protocol number 10).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Research Ethics Committees of Creta InterClinic Hospital (9 July 2021, the Venizeleio General Hospital of Heraklion (23/14 July 2023), the University Hospital of Heraklion (23743/2 October 2023), and the University of Crete (119/24 October 2023).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All data used for the analysis of the current study are provided in Supplementary Data S1.

Acknowledgments

The authors acknowledge the contribution of Andreas Strehle and Michail I Giakoumakis from the General Surgery Department of the Venizeleio General Hospital of Heraklion in the collection of the patients’ samples.

Conflicts of Interest

Author Ippokratis Messaritakis was employed by the company Yiannoukas Labs LTD. The remaining authors declare that the research was conductin the absent of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef] [PubMed]
  2. Vogelstein, B.; Papadopoulos, N.; Velculescu, V.E.; Zhou, S.; Diaz, L.A.; Kinzler, K.W. Cancer Genome Landscapes. Science 2013, 339, 1546–1558. [Google Scholar] [CrossRef]
  3. Terzić, J.; Grivennikov, S.; Karin, E.; Karin, M. Inflammation and Colon Cancer. Gastroenterology 2010, 138, 2101–2114.e5. [Google Scholar] [CrossRef]
  4. Compton, C.; Fenoglio-Preiser, C.M.; Pettigrew, N.; Fielding, L.P. American Joint Committee on Cancer Prognostic Factors Consensus Conference: Colorectal Working Group. Cancer 2000, 88, 1739–1757. [Google Scholar] [CrossRef]
  5. Ilyas, M.I.M. Epidemiology of Stage IV Colorectal Cancer: Trends in the Incidence, Prevalence, Age Distribution, and Impact on Life Span. Clin. Colon Rectal Surg. 2023, 37, 57–61. [Google Scholar] [CrossRef]
  6. Bien, J.; Palagani, V.; Bozko, P. The Intestinal Microbiota Dysbiosis and Clostridium Difficile Infection: Is There a Relationship with Inflammatory Bowel Disease? Ther. Adv. Gastroenterol. 2013, 6, 53–68. [Google Scholar] [CrossRef]
  7. Abreu, M.T.; Peek, R.M. Gastrointestinal Malignancy and the Microbiome. Gastroenterology 2014, 146, 1534–1546.e3. [Google Scholar] [CrossRef] [PubMed]
  8. Irrazábal, T.; Belcheva, A.; Girardin, S.E.; Martin, A.; Philpott, D.J. The Multifaceted Role of the Intestinal Microbiota in Colon Cancer. Mol. Cell 2014, 54, 309–320. [Google Scholar] [CrossRef]
  9. Shimizu, K.; Ogura, H.; Goto, M.; Asahara, T.; Nomoto, K.; Morotomi, M.; Yoshiya, K.; Matsushima, A.; Sumi, Y.; Kuwagata, Y.; et al. Altered Gut Flora and Environment in Patients with Severe SIRS. J. Trauma 2006, 60, 126–133. [Google Scholar] [CrossRef]
  10. Koliarakis, I.; Athanasakis, E.; Sgantzos, M.; Mariolis-Sapsakos, T.; Xynos, E.; Chrysos, E.; Souglakos, J.; Tsiaoussis, J. Intestinal Microbiota in Colorectal Cancer Surgery. Cancers 2020, 12, 3011. [Google Scholar] [CrossRef]
  11. Signat, B.; Roques, C.; Poulet, P.; Duffaut, D. Fusobacterium nucleatum in Periodontal Health and Disease. Curr. Issues Mol. Biol. 2011, 13, 25–36. [Google Scholar]
  12. Li, R.; Shen, J.; Xu, Y. Fusobacterium nucleatum and Colorectal Cancer. Infect. Drug Resist. 2022, 15, 1115–1120. [Google Scholar] [CrossRef]
  13. Mima, K.; Nishihara, R.; Qian, Z.R.; Cao, Y.; Sukawa, Y.; Nowak, J.A.; Yang, J.; Dou, R.; Masugi, Y.; Song, M.; et al. Fusobacterium nucleatum in Colorectal Carcinoma Tissue and Patient Prognosis. Gut 2016, 65, 1973–1980. [Google Scholar] [CrossRef] [PubMed]
  14. Lelouvier, B.; Servant, F.; Païssé, S.; Brunet, A.-C.; Benyahya, S.; Serino, M.; Valle, C.; Ortiz, M.R.; Puig, J.; Courtney, M.; et al. Changes in Blood Microbiota Profiles Associated with Liver Fibrosis in Obese Patients: A Pilot Analysis. Hepatology 2016, 64, 2015–2027. [Google Scholar] [CrossRef] [PubMed]
  15. Bruns, T.; Reuken, P.A.; Stengel, S.; Gerber, L.; Appenrodt, B.; Schade, J.H.; Lammert, F.; Zeuzem, S.; Stallmach, A. The Prognostic Significance of Bacterial DNA in Patients with Decompensated Cirrhosis and Suspected Infection. Liver Int. 2016, 36, 1133–1142. [Google Scholar] [CrossRef]
  16. Merlini, E.; Bellistri, G.M.; Tincati, C.; d’Arminio Monforte, A.; Marchetti, G. Sequencing of Bacterial Microflora in Peripheral Blood: Our Experience with HIV-Infected Patients. J. Vis. Exp. 2011, 52, 2830. [Google Scholar] [CrossRef]
  17. Messaritakis, I.; Vogiatzoglou, K.; Tsantaki, K.; Ntretaki, A.; Sfakianaki, M.; Koulouridi, A.; Tsiaoussis, J.; Mavroudis, D.; Souglakos, J. The Prognostic Value of the Detection of Microbial Translocation in the Blood of Colorectal Cancer Patients. Cancers 2020, 12, 1058. [Google Scholar] [CrossRef]
  18. Koulouridi, A.; Messaritakis, I.; Theodorakis, E.; Chondrozoumaki, M.; Sfakianaki, M.; Gouvas, N.; Tsiaoussis, J.; Mavroudis, D.; Tzardi, M.; Souglakos, J. Detection of Circulating Tumor Cells and Microbial DNA Fragments in Stage III Colorectal Cancer Patients under Three versus Six Months of Adjuvant Treatment. Cancers 2021, 13, 3552. [Google Scholar] [CrossRef] [PubMed]
  19. Lescut, D.; Colombel, J.F.; Vincent, P.; Cortot, A.; Fournier, L.; Quandalle, P.; Vankemmel, M.; Triboulet, J.P.; Wurtz, A.; Paris, J.C. Bacterial Translocation in Colorectal Cancers. Gastroenterol. Clin. Biol. 1990, 14, 811–814. [Google Scholar]
  20. Ono, S.; Tsujimoto, H.; Yamauchi, A.; Hiraki, S.; Takayama, E.; Mochizuki, H. Detection of Microbial DNA in the Blood of Surgical Patients for Diagnosing Bacterial Translocation. World J. Surg. 2005, 29, 535–539. [Google Scholar] [CrossRef]
  21. Giacconi, R.; Donghia, R.; Arborea, G.; Savino, M.T.; Provinciali, M.; Lattanzio, F.; Caponio, G.R.; Coletta, S.; Bianco, A.; Notarnicola, M.; et al. Plasma Bacterial DNA Load as a Potential Biomarker for the Early Detection of Colorectal Cancer: A Case-Control Study. Microorganisms 2023, 11, 2360. [Google Scholar] [CrossRef] [PubMed]
  22. Messaritakis, I.; Koulouris, A.; Boukla, E.; Vogiatzoglou, K.; Lagkouvardos, I.; Intze, E.; Sfakianaki, M.; Chondrozoumaki, M.; Karagianni, M.; Athanasakis, E.; et al. Exploring Gut Microbiome Composition and Circulating Microbial DNA Fragments in Patients with Stage II/III Colorectal Cancer: A Comprehensive Analysis. Cancers 2024, 16, 1923. [Google Scholar] [CrossRef]
  23. Xiao, Q.; Lu, W.; Kong, X.; Shao, Y.W.; Hu, Y.; Wang, A.; Bao, H.; Cao, R.; Liu, K.; Wang, X.; et al. Alterations of Circulating Bacterial DNA in Colorectal Cancer and Adenoma: A Proof-of-Concept Study. Cancer Lett. 2021, 499, 201–208. [Google Scholar] [CrossRef] [PubMed]
  24. Mutignani, M.; Penagini, R.; Gargari, G.; Guglielmetti, S.; Cintolo, M.; Airoldi, A.; Leone, P.; Carnevali, P.; Ciafardini, C.; Petrocelli, G.; et al. Blood Bacterial DNA Load and Profiling Differ in Colorectal Cancer Patients Compared to Tumor-Free Controls. Cancers 2021, 13, 6363. [Google Scholar] [CrossRef] [PubMed]
  25. Tan, C.C.S.; Ko, K.K.K.; Chen, H.; Liu, J.; Loh, M.; SG10K_Health Consortium; Chia, M.; Nagarajan, N. No Evidence for a Common Blood Microbiome Based on a Population Study of 9,770 Healthy Humans. Nat. Microbiol. 2023, 8, 973–985. [Google Scholar] [CrossRef]
  26. Arroyo, V.; Moreau, R.; Kamath, P.S.; Jalan, R.; Ginès, P.; Nevens, F.; Fernández, J.; To, U.; García-Tsao, G.; Schnabl, B. Acute-on-Chronic Liver Failure in Cirrhosis. Nat. Rev. Dis. Primers 2016, 2, 16041. [Google Scholar] [CrossRef]
  27. Zheng, D.; Liwinski, T.; Elinav, E. Interaction between Microbiota and Immunity in Health and Disease. Cell Res. 2020, 30, 492–506. [Google Scholar] [CrossRef]
  28. Kouzu, K.; Tsujimoto, H.; Kishi, Y.; Ueno, H.; Shinomiya, N. Bacterial Translocation in Gastrointestinal Cancers and Cancer Treatment. Biomedicines 2022, 10, 380. [Google Scholar] [CrossRef] [PubMed]
  29. Potgieter, M.; Bester, J.; Kell, D.B.; Pretorius, E. The Dormant Blood Microbiome in Chronic, Inflammatory Diseases. FEMS Microbiol. Rev. 2015, 39, 567–591. [Google Scholar] [CrossRef]
  30. Komiya, Y.; Shimomura, Y.; Higurashi, T.; Sugi, Y.; Arimoto, J.; Umezawa, S.; Uchiyama, S.; Matsumoto, M.; Nakajima, A. Patients with Colorectal Cancer Have Identical Strains of Fusobacterium nucleatum in Their Colorectal Cancer and Oral Cavity. Gut 2019, 68, 1335–1337. [Google Scholar] [CrossRef] [PubMed]
  31. Koliarakis, I.; Messaritakis, I.; Nikolouzakis, T.K.; Hamilos, G.; Souglakos, J.; Tsiaoussis, J. Oral Bacteria and Intestinal Dysbiosis in Colorectal Cancer. Int. J. Mol. Sci. 2019, 20, 4146. [Google Scholar] [CrossRef]
  32. Chelakkot, C.; Ghim, J.; Ryu, S.H. Mechanisms Regulating Intestinal Barrier Integrity and Its Pathological Implications. Exp. Mol. Med. 2018, 50, 1–9. [Google Scholar] [CrossRef]
  33. Wasinger, V.C.; Lu, K.; Yau, Y.Y.; Nash, J.; Lee, J.; Chang, J.; Paramsothy, S.; Kaakoush, N.O.; Mitchell, H.M.; Leong, R.W.L. Spp24 Is Associated with Endocytic Signalling, Lipid Metabolism, and Discrimination of Tissue Integrity for “leaky-Gut” in Inflammatory Bowel Disease. Sci. Rep. 2020, 10, 12932. [Google Scholar] [CrossRef]
  34. Païssé, S.; Valle, C.; Servant, F.; Courtney, M.; Burcelin, R.; Amar, J.; Lelouvier, B. Comprehensive Description of Blood Microbiome from Healthy Donors Assessed by 16S Targeted Metagenomic Sequencing. Transfusion 2016, 56, 1138–1147. [Google Scholar] [CrossRef]
  35. Martinson, J.N.V.; Walk, S.T. Escherichia Coli Residency in the Gut of Healthy Human Adults. EcoSal Plus 2020, 9, 10–1128. [Google Scholar] [CrossRef]
  36. Wassenaar, T.M. E. Coli and Colorectal Cancer: A Complex Relationship That Deserves a Critical Mindset. Crit. Rev. Microbiol. 2018, 44, 619–632. [Google Scholar] [CrossRef]
  37. Genua, F.; Raghunathan, V.; Jenab, M.; Gallagher, W.M.; Hughes, D.J. The Role of Gut Barrier Dysfunction and Microbiome Dysbiosis in Colorectal Cancer Development. Front. Oncol. 2021, 11, 626349. [Google Scholar] [CrossRef]
  38. 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]
  39. Kostic, A.D.; Gevers, D.; Pedamallu, C.S.; Michaud, M.; Duke, F.; Earl, A.M.; Ojesina, A.I.; Jung, J.; Bass, A.J.; Tabernero, J.; et al. Genomic Analysis Identifies Association of Fusobacterium with Colorectal Carcinoma. Genome Res. 2012, 22, 292–298. [Google Scholar] [CrossRef]
  40. Flanagan, L.; Schmid, J.; Ebert, M.; Soucek, P.; Kunicka, T.; Liska, V.; Bruha, J.; Neary, P.; Dezeeuw, N.; Tommasino, M.; et al. Fusobacterium nucleatum Associates with Stages of Colorectal Neoplasia Development, Colorectal Cancer and Disease Outcome. Eur. J. Clin. Microbiol. Infect. Dis. 2014, 33, 1381–1390. [Google Scholar] [CrossRef] [PubMed]
  41. Joo, J.E.; Chu, Y.L.; Georgeson, P.; Walker, R.; Mahmood, K.; Clendenning, M.; Meyers, A.L.; Como, J.; Joseland, S.; Preston, S.G.; et al. Intratumoral Presence of the Genotoxic Gut Bacteria Pks+ E. coli, Enterotoxigenic Bacteroides fragilis, and Fusobacterium nucleatum and Their Association with Clinicopathological and Molecular Features of Colorectal Cancer. Br. J. Cancer 2024, 130, 728–740. [Google Scholar] [CrossRef]
  42. Yan, X.; Liu, L.; Li, H.; Qin, H.; Sun, Z. Clinical Significance of Fusobacterium nucleatum, Epithelial-Mesenchymal Transition, and Cancer Stem Cell Markers in Stage III/IV Colorectal Cancer Patients. Onco Targets Ther. 2017, 10, 5031–5046. [Google Scholar] [CrossRef] [PubMed]
  43. Dai, Z.; Coker, O.O.; Nakatsu, G.; Wu, W.K.K.; Zhao, L.; Chen, Z.; Chan, F.K.L.; Kristiansen, K.; Sung, J.J.Y.; Wong, S.H.; et al. Multi-Cohort Analysis of Colorectal Cancer Metagenome Identified Altered Bacteria across Populations and Universal Bacterial Markers. Microbiome 2018, 6, 70. [Google Scholar] [CrossRef] [PubMed]
  44. Lin, X.-H.; Jiang, J.-K.; Luo, J.-C.; Lin, C.-C.; Ting, P.-H.; Yang, U.-C.; Lan, Y.-T.; Huang, Y.-H.; Hou, M.-C.; Lee, F.-Y. The Long Term Microbiota and Metabolic Status in Patients with Colorectal Cancer after Curative Colon Surgery. PLoS ONE 2019, 14, e0218436. [Google Scholar] [CrossRef] [PubMed]
  45. Kong, C.; Gao, R.; Yan, X.; Huang, L.; He, J.; Li, H.; You, J.; Qin, H. Alterations in Intestinal Microbiota of Colorectal Cancer Patients Receiving Radical Surgery Combined with Adjuvant CapeOx Therapy. Sci. China Life Sci. 2019, 62, 1178–1193. [Google Scholar] [CrossRef] [PubMed]
  46. 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]
  47. Liu, C.-J.; Zhang, Y.-L.; Shang, Y.; Wu, B.; Yang, E.; Luo, Y.-Y.; Li, X.-R. Intestinal Bacteria Detected in Cancer and Adjacent Tissue from Patients with Colorectal Cancer. Oncol. Lett. 2019, 17, 1115–1127. [Google Scholar] [CrossRef]
  48. Wang, T.; Cai, G.; Qiu, Y.; Fei, N.; Zhang, M.; Pang, X.; Jia, W.; Cai, S.; Zhao, L. Structural Segregation of Gut Microbiota between Colorectal Cancer Patients and Healthy Volunteers. ISME J. 2012, 6, 320–329. [Google Scholar] [CrossRef] [PubMed]
  49. Cass, S.; White, M.G. The Influence of the Microbiome on Metastatic Colorectal Cancer. Clin. Colon Rectal Surg. 2023, 36, 112–119. [Google Scholar] [CrossRef]
  50. Casasanta, M.A.; Yoo, C.C.; Udayasuryan, B.; Sanders, B.E.; Umaña, A.; Zhang, Y.; Peng, H.; Duncan, A.J.; Wang, Y.; Li, L.; et al. Fusobacterium nucleatum host-cell binding and invasion induces IL-8 and CXCL1 secretion that drives colorectal cancer cell migration. Sci. Signal. 2020, 13, eaba9157. [Google Scholar] [CrossRef]
  51. Arthur, J.C.; Perez-Chanona, E.; Mühlbauer, M.; Tomkovich, S.; Uronis, J.M.; Fan, T.-J.; Campbell, B.J.; Abujamel, T.; Dogan, B.; Rogers, A.B.; et al. Intestinal Inflammation Targets Cancer-Inducing Activity of the Microbiota. Science 2012, 338, 120–123. [Google Scholar] [CrossRef] [PubMed]
  52. Glebov, O.K.; Rodriguez, L.M.; Nakahara, K.; Jenkins, J.; Cliatt, J.; Humbyrd, C.-J.; DeNobile, J.; Soballe, P.; Simon, R.; Wright, G.; et al. Distinguishing Right from Left Colon by the Pattern of Gene Expression. Cancer Epidemiol. Biomark. Prev. 2003, 12, 755–762. [Google Scholar]
  53. Tamas, K.; Walenkamp, A.M.E.; de Vries, E.G.E.; van Vugt, M.a.T.M.; Beets-Tan, R.G.; van Etten, B.; de Groot, D.J.A.; Hospers, G.a.P. Rectal and Colon Cancer: Not Just a Different Anatomic Site. Cancer Treat. Rev. 2015, 41, 671–679. [Google Scholar] [CrossRef]
  54. Jin, M.; Wu, J.; Shi, L.; Zhou, B.; Shang, F.; Chang, X.; Dong, X.; Deng, S.; Liu, L.; Cai, K.; et al. Gut Microbiota Distinct between Colorectal Cancers with Deficient and Proficient Mismatch Repair: A Study of 230 CRC Patients. Front. Microbiol. 2022, 13, 993285. [Google Scholar] [CrossRef]
  55. Qi, Z.; Zhibo, Z.; Jing, Z.; Zhanbo, Q.; Shugao, H.; Weili, J.; Jiang, L.; Shuwen, H. Prediction Model of Poorly Differentiated Colorectal Cancer (CRC) Based on Gut Bacteria. BMC Microbiol. 2022, 22, 312. [Google Scholar] [CrossRef]
  56. Carelli, L.L.; D’Aquila, P.; Rango, F.D.; Incorvaia, A.; Sena, G.; Passarino, G.; Bellizzi, D. Modulation of Gut Microbiota through Low-Calorie and Two-Phase Diets in Obese Individuals. Nutrients 2023, 15, 1841. [Google Scholar] [CrossRef]
  57. Wilkins, L.J.; Monga, M.; Miller, A.W. Defining Dysbiosis for a Cluster of Chronic Diseases. Sci. Rep. 2019, 9, 12918. [Google Scholar] [CrossRef] [PubMed]
  58. Amar, J.; Lelouvier, B.; Servant, F.; Lluch, J.; Burcelin, R.; Bongard, V.; Elbaz, M. Blood Microbiota Modification After Myocardial Infarction Depends Upon Low-Density Lipoprotein Cholesterol Levels. J. Am. Heart Assoc. 2019, 8, e011797. [Google Scholar] [CrossRef]
  59. Zhang, L.; Chu, J.; Hao, W.; Zhang, J.; Li, H.; Yang, C.; Yang, J.; Chen, X.; Wang, H. Gut Microbiota and Type 2 Diabetes Mellitus: Association, Mechanism, and Translational Applications. Mediat. Inflamm. 2021, 2021, 5110276. [Google Scholar] [CrossRef]
  60. Wensel, C.R.; Pluznick, J.L.; Salzberg, S.L.; Sears, C.L. Next-generation sequencing: Insights to advance clinical investigations of the microbiome. J Clin Invest 2022, 132, e154944. [Google Scholar] [CrossRef]
  61. Jeong, J.; Mun, S.; Oh, Y.; Cho, C.S.; Yun, K.; Ahn, Y.; Chung, W.H.; Lim, M.Y.; Lee, K.E.; Hwang, T.S.; et al. A qRT-PCR Method Capable of Quantifying Specific Microorganisms Compared to NGS-Based Metagenome Profiling Data. Microorganisms 2022, 10, 324. [Google Scholar] [CrossRef] [PubMed]
  62. Bi, D.; Zhu, Y.; Gao, Y.; Li, H.; Zhu, X.; Wei, R.; Xie, R.; Wei, Q.; Qin, H. A newly developed PCR-based method revealed distinct Fusobacterium nucleatum subspecies infection patterns in colorectal cancer. Microb. Biotechnol. 2021, 14, 2176–2186. [Google Scholar] [CrossRef]
Ijms 25 09025 g001
Figure 1. Frequencies of 16S rRNA, Escherichia coli (E. coli), and Fusobacterium nucleatum (F. nucleatum) detection in blood among control and patient groups.
Figure 1. Frequencies of 16S rRNA, Escherichia coli (E. coli), and Fusobacterium nucleatum (F. nucleatum) detection in blood among control and patient groups.
Ijms 25 09025 g001
Table 1. Patients’ and healthy individuals’ demographic characteristics and clinical parameters.
Table 1. Patients’ and healthy individuals’ demographic characteristics and clinical parameters.
CharacteristicsGroup 1 (n = 25)Group 2 (n = 25)Group 3 (n = 25)Group 4 (n = 25)
Mean (range)
Age20.5 (20–21)61.5 (25–86)62.9 (39–80)57.8 (26–78)
Body Mass Index (BMI) (kg/m2)23.1 (20.3–24.8)28.4 (22.1–46.9)27.7 (20.2–37.2)27.9 (17.1–52.5)
Frequency (percentage)
Sex
Male18 (72%)11 (44%)18 (72%)16 (64%)
Female7 (28%)14 (56%)7 (28%)9 (36%)
Surgery
Yesn/a *25 (100%)25 (100%)0 (0%)
Non/a0 (0%)0 (0%)25 (100%)
Metastasis
Yesn/a0 (0%)25 (100%)25 (100%)
Non/a25 (100%)0 (0%)0 (0%)
Tumor Location
Right Colonn/a10 (40%)10 (40%)5 (20%)
Left Colonn/a9 (36%)8 (32%)10 (40%)
Rectumn/a6 (24%)7 (28%)10 (40%)
Stage
IIn/a5 (20%)0 (0%)0 (0%)
IIIn/a20 (80%)0 (0%)0 (0%)
IVn/a0 (0%)25 (100%)25 (100%)
Grade
Lown/a6 (24%)2 (8%)2 (8%)
Intermediaten/a13 (52%)15 (60%)16 (64%)
Highn/a6 (24%)8 (32%)7 (28%)
Mismatch Repair (MMR) status
Microsatellite Stability (MSS)n/a19 (76%)23 (92%)21 (84%)
Microsatellite Instability (MSI)n/a3 (12%)2 (8%)2 (8%)
Unreportedn/a3 (12%)0 (0%)2 (8%)
Smoking
Yes0 (0%)7 (28%)12 (48%)8 (32%)
No25 (100%)18 (72%)13 (52%)17 (68%)
Alcohol
Yes0 (0%)1 (4%)3 (12%)4 (16%)
No25 (100%)24 (96%)22 (88%)21 (84%)
Diabetes
Yes0 (0%)5 (20%)11 (44%)3 (12%)
No25 (100%)20 (80%)14 (56%)22 (88%)
Dyslipidemia
Yes0 (0%)9 (36%)5 (20%)6 (24%)
No25 (100%)16 (64%)20 (80%)19 (76%)
Cardiovascular Disease (CVD)
Yes0 (0%)12 (48%)13 (52%)9 (36%)
No25 (100%)13 (52%)12 (48%)16 (64%)
* n/a, not applicable.
Table 2. Frequencies and percentages of circulating bacterial DNA (cbDNA) presence among control and patient groups.
Table 2. Frequencies and percentages of circulating bacterial DNA (cbDNA) presence among control and patient groups.
Gene TargetDetectionGroup 1
(n = 25)		Group 2
(n = 25)		Group 3
(n = 25)		Group 4
(n = 25)
16S rRNAPositive21 (84%)24 (96%)25 (100%)25 (100%)
Negative4 (16%)1 (4%)0 (0%)0 (0%)
β-galactosidase gene of Escherichia coliPositive20 (80%)20 (80%)21 (84%)17 (68%)
Negative5 (20%)5 (20%)4 (16%)8 (32%)
NusG gene of Fusobacterium nucleatumPositive3 (12%)8 (32%)8 (32%)17 (68%)
Negative22 (88%)17 (68%)17 (68%)8 (32%)
Table 3. Comparisons of cbDNA detection among control and patient groups.
Table 3. Comparisons of cbDNA detection among control and patient groups.
Pairwise Comparison16S rRNAE. coliF. nucleatum
p-Valueadj. p-Valuep-Valueadj. p-Valuep-Valueadj. p-Value
Group 1–Group 20.3490.697- *-0.1710.205
Group 1–Group 30.110.33--0.1710.205
Group 1–Group 40.110.330.52-<0.001<0.001
Group 2–Group 3------
Group 2–Group 4--0.52-0.0230.045
Group 3–Group 4--0.321-0.0230.045
* p = 1.
Table 4. Association of cbDNA detection with patients’ clinical parameters.
Table 4. Association of cbDNA detection with patients’ clinical parameters.
Parameter/Pairwise ComparisonE. coliF. nucleatum
p-Valueadj. p-Valuep-Valueadj. p-Value
Sex
Female–Male0.403n/a 10.348n/a
Surgery
No–Yes0.242n/a0.006n/a
Metastasis
No (stage II/III)–Yes (stage IV)0.777n/a0.217n/a
Tumor Location
Left Colon–Rectum0.3080.4620.2520.596
Right Colon–Rectum0.2920.462- 2-
Left Colon–Right Colon--0.3970.596
Grade
High–Low0.6340.9510.701-
Intermediate–Low0.4270.951--
High–Intermediate--0.605-
MMR status
MSI–MSS-n/a-n/a
Smoking
No–Yes0.15n/a0.634n/a
Alcohol
No–Yes-n/a0.725n/a
Diabetes
No–Yes0.004n/a0.286n/a
Dyslipidemia
No–Yes-n/a-n/a
CVD
No–Yes0.414n/a0.816n/a
1 n/a, not applicable; 2 p = 1.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Koliarakis, I.; Lagkouvardos, I.; Vogiatzoglou, K.; Tsamandouras, I.; Intze, E.; Messaritakis, I.; Souglakos, J.; Tsiaoussis, J. Circulating Bacterial DNA in Colorectal Cancer Patients: The Potential Role of Fusobacterium nucleatum. Int. J. Mol. Sci. 2024, 25, 9025. https://doi.org/10.3390/ijms25169025

AMA Style

Koliarakis I, Lagkouvardos I, Vogiatzoglou K, Tsamandouras I, Intze E, Messaritakis I, Souglakos J, Tsiaoussis J. Circulating Bacterial DNA in Colorectal Cancer Patients: The Potential Role of Fusobacterium nucleatum. International Journal of Molecular Sciences. 2024; 25(16):9025. https://doi.org/10.3390/ijms25169025

Chicago/Turabian Style

Koliarakis, Ioannis, Ilias Lagkouvardos, Konstantinos Vogiatzoglou, Ioannis Tsamandouras, Evangelia Intze, Ippokratis Messaritakis, John Souglakos, and John Tsiaoussis. 2024. "Circulating Bacterial DNA in Colorectal Cancer Patients: The Potential Role of Fusobacterium nucleatum" International Journal of Molecular Sciences 25, no. 16: 9025. https://doi.org/10.3390/ijms25169025

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