Evidence map›Paper›PMID 42666682›Full record

ReviewFrontiers in immunology2026

Hepatitis C virus-associated B-cell non-Hodgkin lymphomas: immune evasion, multistep lymphomagenesis, and candidate biomarkers for risk stratification and disease monitoring.

Guido Carloni, Antonio Ponzetto, Monica Rinaldi

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Guido CarloniDepartment of Bio-Medical Sciences (DSBM), Institute of Traslational Pharmacology (IFT), National Research Council (CNR), Rome, Italy.
Antonio PonzettoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Monica RinaldiDepartment of Bio-Medical Sciences (DSBM), Institute of Traslational Pharmacology (IFT), National Research Council (CNR), Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis C virus (HCV)-associated B-cell non-Hodgkin lymphomas represent a compelling model of virus-driven oncogenesis in which immune evasion and viral persistence sustain chronic antigenic stimulation, B-cell clonal expansion and progressive multistep lymphomagenesis. Methods: This minireview focuses on mechanisms that connect HCV immune escape with B-cell lymphomagenesis, antiviral treatment responses, and emerging biomarkers for risk stratification and disease monitoring. Results: HCV persistence is sustained by extensive viral genetic variability (quasispecies formation) and by interference with innate and adaptive immune responses, including RIG-I/TLR3 pathway inhibition, suppression of interferon signaling, dendritic cell and natural killer cell dysfunction, and T-cell exhaustion. These mechanisms are relevant to lymphomagenesis because they maintain a persistent antigenic and inflammatory niche that supports chronic antigenic stimulation, clonal B-cell expansion, cytokine and chemokine dysregulation (e.g., BAFF/BLyS axis), apoptotic escape, and the progressive accumulation of genetic alterations and chromosomal aberrations. Lymphomagenesis thus emerges as a complex process consistent with a multistep model. Antiviral therapy provides a clinical indicator of this model, in which regression of some indolent HCV-associated lymphomas after viral eradication supports virus dependence, whereas incomplete lymphoproliferative response and the need for immunochemotherapy in aggressive lymphomas indicate partial independence from the viral trigger at advanced stages. Emerging biomarkers, including B-cell activation markers, immune-inflammatory mediators, immunogenetic susceptibility factors, microRNAs, and genomic alterations, show promise for risk stratification, and disease monitoring, but require further validation. Conclusion: Integrating antiviral and antitumor strategies with biomarker-guided patient stratification may improve early cancer diagnosis and treatment prioritization.

Indexed as

HepacivirusHepatitis CImmune EvasionLymphoma, B-CellAnimalsBiomarkersBiomarkers, TumorHumansBiomarkersBiomarkers, TumorB-cell non-Hodgkin lymphomabiomarkersDAAshepatitis C virusimmune evasionmixed cryoglobulinemiamultistep lymphomagenesisviral persistence

Identifiers

PMID42666682
PMCPMC13522910

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.