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Life
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Cancer Epidemiology
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Cancer Epidemiology

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Epidemiology".

Deadline for manuscript submissions: 24 October 2025 | Viewed by 4221

Special Issue Editors

Prof. Dr. Daniela-Cristina Stefan

E-Mail Website
Guest Editor
1. Pro-Vice Chancellor, University of Namibia, Windhoek 13301, Namibia
2. Sing Duke-NUS Global Health Institute Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore
3. The Doctoral School of the University, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
Interests: global oncology; cervical cancer; cancer equity
Dr. Honoré K. Mitonga

E-Mail
Guest Editor
Department of Public Health, Faculty of Health Sciences and Veterinary Medicine, University of Namibia, Namibia, South Africa
Interests: epidemiology and biostatistics; general public health

Special Issue Information

Dear Colleagues,

Cancer epidemiology is a rapidly evolving field that seeks to understand the patterns, causes, and effects of cancer across different populations. In this Special Issue, we will delve into several critical areas of cancer epidemiology, aiming to provide comprehensive insights and foster advancements in research and clinical practice. Some of the key topics that might be covered in this Special Edition include the following:

Cancer in Specific Populations:

  • Pediatric cancer epidemiology: focus on trends, risk factors, and outcomes of childhood cancers (special focus on LMIC countries);
  • Cancer in older adults: studies on the epidemiology of cancer in the aging population and the unique challenges they face.

Geographic disparities: examination of cancer prevalence in different regions, highlighting disparities and possible causes, such as environmental factors

Advances in Cancer Screening and Early Detection:

  • Screening programs: evaluation of the effectiveness of current cancer screening programs for cancers such as breast, cervical, colorectal, and prostate;
  • Innovative technologies: emerging technologies in cancer screening, such as liquid biopsies and advanced imaging techniques.

Methodological Advances in Epidemiology:

  • Big data and cancer research: use of big data analytics, machine learning, and bioinformatics in cancer epidemiology;
  • Statistical methods: advances in statistical methods to better analyze and interpret epidemiological data.

Through this Special Issue, we aim to provide researchers and clinicians with a platform to share cutting-edge research, foster interdisciplinary collaborations, and promote a deeper understanding of emerging trends in cancer epidemiology. This includes the roles of various factors in cancer pathogenesis and the development of innovative screening and therapeutic interventions.

Prof. Dr. Daniela-Cristina Stefan
Dr. Honoré K. Mitonga
Guest Editors

Alicia Fernandes
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Life is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cancer disparities
  • specific populations
  • methodological advances
  • cancer trends
  • cancer causes
  • prevention strategies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

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Research

9 pages, 456 KiB  
Article
The Prevalence of Human Papillomavirus Genotypes in Women with Precancerous Lesions and Cervical Cancer in Arequipa, Peru
by Gonzalo Arturo Medina Bueno, Deyné Maribel Ticona Ramos, Claudia Amparo Mares Cuadros and Rocio Mary Quequezana Guevara
Life 2025, 15(2), 267; https://doi.org/10.3390/life15020267 - 10 Feb 2025
Viewed by 581
Abstract
The objective of this study was to determine the relationship between the prevalence of high-risk human papillomavirus (HRHPV) and age in women with cervical neoplasia or cervical cancer. This retrospective study involved 470 women referred for abnormal cervical cytology between January 2021 and [...] Read more.
The objective of this study was to determine the relationship between the prevalence of high-risk human papillomavirus (HRHPV) and age in women with cervical neoplasia or cervical cancer. This retrospective study involved 470 women referred for abnormal cervical cytology between January 2021 and December 2023. The Cobas 4800 test was used to identify HRHPV genotypes; it specifically identified genotypes 16 and 18 and grouped the other high-risk genotypes into another category. The Cobas 4800 test was performed together with colposcopy and biopsies of cervical lesions. From the analysis, we selected 470 women who underwent cervical biopsies and HPV testing. Of them, 208 (44.3%) were HPV-negative. Among the 262 women positive for HPV, 13.0% were positive for genotype 16 only, 1.3% for genotype 18 only, and 35.1% for other HPV genotypes. HPV-16 was found in 58.3% of cases of cervical intraepithelial neoplasia grade 3 (CIN 3) in women under 35 years of age and in 20.9% of cases in women over 35 years of age. Furthermore, 51.9% of patients with cervical cancer tested positive for other high-risk HPV types, whereas 30.8% had HPV-16. Although other HPV genotypes were more frequent than HPV-16 and HPV-18 in individuals with cervical cancer, HPV-16 was the most common individual high-risk genotype in women ≥ 35 years of age with CIN-3. Full article
(This article belongs to the Special Issue Cancer Epidemiology)
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15 pages, 889 KiB  
Article
The Relevance of Sex and Age as Non-Modifiable Risk Factors in Relation to Clinical-Pathological Parameters in Colorectal Cancer
by Robert Barna, Alis Dema, Aura Jurescu, Adrian Ovidiu Văduva, Dorela-Codruța Lăzureanu, Octavia Vița, Bianca Natarâș, Ioana Hurmuz, Adelina Vidac, Sorina Tăban and Sorin Dema
Life 2025, 15(2), 156; https://doi.org/10.3390/life15020156 - 23 Jan 2025
Viewed by 892
Abstract
Background and objectives: We aimed to assess the significance of sex and age compared to other clinical-pathological parameters in colorectal cancer (CRC). Materials and methods: Our study included a retrospective approach to CRC patients who underwent surgery at the ‘Pius Brinzeu’ County Clinical [...] Read more.
Background and objectives: We aimed to assess the significance of sex and age compared to other clinical-pathological parameters in colorectal cancer (CRC). Materials and methods: Our study included a retrospective approach to CRC patients who underwent surgery at the ‘Pius Brinzeu’ County Clinical Emergency Hospital in Timisoara (PBECCHT), Romania. The analyzed parameters were: patient age and sex, tumor location, histological type, differentiation grade (G), extent of tumor (pT), lymph-node status (pN), distant metastasis status (pM), and lymphovascular invasion (LVI). The population was divided into three groups based on age, with those under 49 years old, 50 to 69 years old, and elderly (>70). Results: The study’s inclusion criteria were met by 1885 patients, with a male-to-female ratio of 1.39:1. There were significant differences between the sexes in the anatomical location of tumors (p < 0.0001). Younger patients were more likely to have deeply invasive tumors (p = 0.0096), LVI (p = 0.0332), lymph-node metastases (p = 0.0158), and metastatic disease (p = 0.0017). Conclusions: Over the ten-year period reviewed, the frequency of CRC cases has progressively increased, with males being diagnosed more often. In terms of patient age, the young population exhibits clinical features of aggressive evolution. Patient sex did not influence the analyzed parameters, except for tumor location, where right colon tumors are slightly more common in females. Full article
(This article belongs to the Special Issue Cancer Epidemiology)
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10 pages, 2122 KiB  
Article
Two Decades of Insights: Comprehensive Histopathological and Epidemiological Analysis of Conjunctival Tumors
by Dolika D. Vasović, Dejan M. Rašić, Zoran Latković, Bojana Dačić-Krnjaja, Jelena Vasilijević, Ivan Marjanović, Jelena Simonović, Anica Bobić Radovanović, Miodrag Karamarković, Milan Stojičić, Milica Mićović and Tanja Kalezić
Life 2024, 14(11), 1381; https://doi.org/10.3390/life14111381 - 27 Oct 2024
Viewed by 1187
Abstract
This study analyzed 2102 conjunctival lesions excised between 1981 and 2003 at a single tertiary center in Serbia, with the aim of evaluating their histopathological characteristics, anatomical localization, and demographic distribution. Of the total cases recorded, 55.1% were male, indicating a slight male [...] Read more.
This study analyzed 2102 conjunctival lesions excised between 1981 and 2003 at a single tertiary center in Serbia, with the aim of evaluating their histopathological characteristics, anatomical localization, and demographic distribution. Of the total cases recorded, 55.1% were male, indicating a slight male predominance. The bulbar conjunctiva was the most commonly affected site (34.5%), with 39.3% of tumors extended to multiple regions of the conjunctiva, including areas such as the plica and caruncula. The most common benign lesion was compound conjunctival nevus (16.7%), while squamous cell carcinoma (SCC) (11.4%) and melanoma (11.3%) were the most prevalent malignant tumors. Tumor incidence peaked in the 61–70 and 51–60 year age groups, with malignant tumors such as SCC being more frequent in males. Comparisons with similar global studies reveal that our findings align with worldwide trends, such as the predominance of SCC, which has been linked to UV exposure, and the frequency of melanoma in fair-skinned populations. However, the lower prevalence of fibrodegenerative lesions like pterygia and pinguecula in our cohort likely reflects Serbia’s cooler climate compared to regions with higher UV exposure. These findings underscore the diverse nature of conjunctival tumors, the critical role of histopathological examination for diagnosis, and the influence of environmental factors. This study provides valuable insights into the epidemiology of conjunctival tumors, contributing to global understanding and guiding future diagnostic and therapeutic approaches. Full article
(This article belongs to the Special Issue Cancer Epidemiology)
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13 pages, 1549 KiB  
Article
An Artificial Neural Network Prediction Model of Depressive Symptoms among Women with Abnormal Papanicolaou Smear Results before and after Diagnostic Procedures
by Irena Ilic, Goran Babic, Aleksandra Dimitrijevic, Sandra Sipetic Grujicic and Milena Ilic
Life 2024, 14(9), 1130; https://doi.org/10.3390/life14091130 - 7 Sep 2024
Viewed by 910
Abstract
(1) Background: Cervical screening and additional diagnostic procedures often lead to depression. This research aimed to develop a prediction model for depression in women who received an abnormal Papanicolaou screening test, prior to and following the diagnostic procedures. (2) Methods: The study included [...] Read more.
(1) Background: Cervical screening and additional diagnostic procedures often lead to depression. This research aimed to develop a prediction model for depression in women who received an abnormal Papanicolaou screening test, prior to and following the diagnostic procedures. (2) Methods: The study included women who had a positive Papanicolaou screening test (N = 172) and attended the Clinical Center of Kragujevac in Serbia for additional diagnostic procedures (colposcopy/biopsy/endocervical curettage). Women filled out a sociodemographic survey and the Center for Epidemiologic Studies Depression questionnaire (CES-D scale) before and after diagnostic procedures. A prediction model was built with multilayer perceptron neural networks. (3) Results: A correlation-based filter method of feature selection indicated four variables that correlated with depression both prior to and following the diagnostic procedures—anxiety, depression, worry, and concern about health consequences. In addition, the use of sedatives and a history of both induced and spontaneous abortion correlated with pre-diagnostic depression. Important attributes for predicting post-diagnostic depression were scores for the domains ‘Tension/discomfort’ and ‘Embarrassment’ and depression in personal medical history. The accuracy of the pre-diagnostic procedures model was 70.6%, and the area under the receiver operating characteristic curve (AUROC) was 0.668. The model for post-diagnostic depression prediction showed an accuracy of 70.6%, and an AUROC = 0.836. (4) Conclusions: This study helps provide means to predict the occurrence of depression in women with an abnormal Papanicolaou screening result prior to and following diagnostic procedures, which can aid healthcare professionals in successfully providing timely psychological support to those women who are referred to further diagnostics. Full article
(This article belongs to the Special Issue Cancer Epidemiology)
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