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Cancers
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Advanced Insights into the Etiology of Lymphoma
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Advanced Insights into the Etiology of Lymphoma

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 1145

Special Issue Editors

Prof. Dr. Susan L. Slager

E-Mail Website
Guest Editor
1. Division of Computational Biology, Department of Quantitative Health Science, Mayo Clinic, Rochester, MN 55905, USA
2. Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
Interests: identifying inherited and acquired genetic susceptibility to lymphoma; chronic lymphocytic leukemia (CLL) and precursor condition; monoclonal B-cell lymphocytosis (MBLs)
Prof. Dr. James R. Cerhan

E-Mail Website
Guest Editor
Division of Epidemiology, Department of Quantitative Health Science, Mayo Clinic, Rochester, MN 55905, USA
Interests: identifying the causes of lymphoma, including environmental, lifestyle, genetic and biological factors that are responsible for causing lymphoma, a cancer of the immune system that increased dramatically during the second half of the 20th century

Special Issue Information

Dear Colleagues,

Lymphoma arises from a complex interplay of genetic, viral, immune, and environmental factors.   While certain etiological contributors—such as inherited genetic predispositions, viral infections, and immunodeficiency—are well established, new research is continuing to reveal additional drivers of lymphomagenesis.   This Special Issue will highlight both known and emerging factors in lymphoma etiology, providing a comprehensive view of the mechanisms underlying disease initiation and progression across different lymphoma subtypes.

We invite submissions investigating the etiological factors contributing to the risk of lymphoma overall or lymphoma subtypes.   Studies must focus on human populations and be research articles, not review papers.   Topics of interest include research on genetic predisposition, clonal hematopoiesis, clonal evolution, viral and microbial influences, immune dysregulation, environmental exposures, and novel biomarkers.   Epidemiological studies, biomarker-based risk assessment, and multi-omics analyses are particularly encouraged.   Submissions based on animal models or cell line studies will not be considered.

By compiling cutting-edge research on lymphoma etiology, this Special Issue will enhance our understanding of disease mechanisms, refine risk prediction models, and inform strategies for early detection and prevention.

Prof. Dr. Susan L. Slager
Prof. Dr. James R. Cerhan
Guest Editors

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 communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Cancers is an international peer-reviewed open access semimonthly 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 2900 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

  • lymphoma etiology
  • genetic predisposition
  • clonal hematopoiesis
  • precursor conditions
  • risk stratification
  • viral oncogenesis
  • non-Hodgkin lymphoma
  • Hodgkin lymphoma

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Published Papers (2 papers)

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Research

14 pages, 499 KB  
Article
Occupational, Lifestyle, and Medical Risk Factors for Non-Hodgkin Lymphoma: A Case–Control Study in Ethiopia
by Obsie T. Baissa, Fozia Abdela, Fissehatsion Tadesse, Amanuel Damie, Moti Sori, Workagegnehu Hailu, Segenet Bizuneh, Bewketu Abebe, Begashaw Adamu, Gail Amir and Ora Paltiel
Cancers 2025, 17(23), 3745; https://doi.org/10.3390/cancers17233745 - 24 Nov 2025
Viewed by 327
Abstract
Background: Non-Hodgkin lymphoma (NHL) is a significant public health concern in Ethiopia. However, data on non-infectious risk factors are scarce. Methods: We conducted an age- and sex-matched hospital-based case–control study at two referral hospitals in Ethiopia, enrolling 207 NHL cases and 405 controls. [...] Read more.
Background: Non-Hodgkin lymphoma (NHL) is a significant public health concern in Ethiopia. However, data on non-infectious risk factors are scarce. Methods: We conducted an age- and sex-matched hospital-based case–control study at two referral hospitals in Ethiopia, enrolling 207 NHL cases and 405 controls. Self-reported occupational, medical, and lifestyle-related exposures were collected via structured interviews. Conditional logistic regression was used to estimate adjusted odds ratios (AOR) and 95% Confidence Intervals (CIs), adjusting for education and residence. Results: NHL cases were predominantly male (64.3%) with the majority diagnosed between ages 36–65. Low-grade NHL was the most common subtype (56.4%). Rural residence (AOR = 2.62, 95% CI: 1.71–4.0) and lower educational level (OR = 2.08, 95%CI: 1.33–3.15) were significantly associated with NHL. Occupational exposures, including gardening (AOR = 1.68, 95% CI: 1.04–2.2), pesticide use (AOR = 2.14, 95% CI: 1.34–3.40), agricultural work (AOR = 1.76, 95% CI: 1.12–2.83), and keeping farm animals within the household (AOR = 2.41, 95% CI: 1.51–3.84) were linked to higher NHL odds. In contrast, smoking (AOR = 0.31, 95% CI: 0.17–0.55) and alcohol consumption (AOR = 0.55, 95% CI: 0.35–0.87) were inversely associated with NHL. A history of infection requiring hospitalization (AOR = 2.12, 95% CI: 1.15–3.96) and tonsillectomy/uvulectomy (AOR = 2.61, 95% CI: 1.19–5.71) were associated with increased NHL odds. Subgroup analysis revealed stronger associations between occupational exposures and high-grade NHL, while low-grade NHL was linked to tonsillectomy/uvulectomy. Conclusions: Occupational, medical, and lifestyle-related factors are associated with NHL risk in Ethiopia. Full article
(This article belongs to the Special Issue Advanced Insights into the Etiology of Lymphoma)
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15 pages, 987 KB  
Article
Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees
by Alyssa I. Clay-Gilmour, Nicola J. Camp, Xiaomu Wei, Angel Earle, Aaron Norman, Jason Sinnwell, Delphine Demangel, Rosalie Griffin, Charles Dumontet, James McKay, Ken Offit, Vijai Joseph, Siwei Chen, Daniel O’Brien, Vincent Rajkumar, Robert Klein, Shaji Kumar, Steve Lipkin and Celine M. Vachon
Cancers 2025, 17(22), 3611; https://doi.org/10.3390/cancers17223611 - 10 Nov 2025
Viewed by 452
Abstract
Background/Objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective [...] Read more.
Background/Objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis. Methods:Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander–Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, and 21 unaffected). Genome-wide linkage was evaluated using 12,946 independent single-nucleotide variants (linkage disequilibrium r2 < 0.05). Results: Significant linkage was observed at chromosome 6q22.33–q24.2 by the non-parametric model (logarithm-of-odds (LOD) = 3.3) and suggestive linkage by the dominant parametric model (heterogeneity LOD (HLOD) = 2.5). Fourteen rare variants within this region were prioritized using family-specific partial LOD scores and in silico functional prediction tools. Nine of these variants, REPS1, THEMIS, TAAR6, AHI1, VNN1, VNN3, MTFR2/FAM54A, LAMA2, and PHACTR2, overlapped immune-regulatory regions in blood cell lines and were not previously identified in GWASs. Conclusions: This study demonstrates the utility of applying a linkage analysis framework to familial WES data for identifying genomic regions and candidate genes that may contribute to MM/MGUS predisposition. These findings provide new insight into the inherited risk and etiology of familial MM and MGUS. Full article
(This article belongs to the Special Issue Advanced Insights into the Etiology of Lymphoma)
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