Evidence map›Paper›PMID 40595559›Full record

ArticleNature communications2025

Genomic landscape of virus-associated cancers.

Yoonhee Nam, Karen Gomez, Jean-Baptiste Reynier, Cole Khamnei, Michael Aitken, Vivian Zheng, Tenzin Lhakhang, Milena Casula, Giuseppe Palmieri, Antonio Cossu and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Efficacy of Immune Checkpoint Inhibitors and Oncoviruses in Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
  9. Review
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Yoonhee Nam *Program for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0009-0008-2120-1107
Karen Gomez *Program for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.
Jean-Baptiste ReynierProgram for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0001-8914-0461
Cole KhamneiProgram for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.
Michael AitkenProgram for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.
Vivian ZhengProgram for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0009-0009-9628-8945
Tenzin LhakhangProgram for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA.
Milena CasulaUnit of Cancer Genetics, Institute of Genetic Biomedical Research (IRGB), National Research Council (CNR), Sassari, Italy.ORCID http://orcid.org/0000-0002-5079-9864
Giuseppe PalmieriUnit of Cancer Genetics, Institute of Genetic Biomedical Research (IRGB), National Research Council (CNR), Sassari, Italy.ORCID http://orcid.org/0000-0002-4350-2276
Antonio CossuDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Arnold LevineSimons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-1871-6387
Enrico TiacciInstitute of Hematology and Center for Hemato-Oncology Research, Department of Medicine and Surgery, University and Hospital of Perugia, Perugia, Italy.
Raul RabadanProgram for Mathematical Genomics and Department of Systems Biology, Columbia University, New York, NY, USA. rr2579@cumc.columbia.edu.ORCID http://orcid.org/0000-0001-7946-9255

Funding

Towards a quantitative understanding of tumor evolutionR35CA253126 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Raul Rabadan · 2021 to 2026
$5.6M
Single-cell characterization of tumor and microenvironment co-evolution in Peripheral T-cell LymphomasU01CA243073 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PALOMERO, TERESA, RABADAN, RAUL · 2019 to 2023
$3.0M
NCI NIH HHS R35 CA253126NCI NIH HHS U01 CA243073U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R35CA253126U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA243073
6 · The paper itself

Abstract

It has been estimated that 15%-20% of human cancers are attributable to infections, mostly by carcinogenic viruses. The incidence varies worldwide, with a majority affecting developing countries. Here, we conduct a comparative analysis of virus-positive and virus-negative tumors in nine cancers linked to five viruses. We observe a higher frequency of virus-positive tumors in males, with notable geographic differences in incidence. Our genomic analysis of 1971 tumors reveals a lower somatic burden, distinct mutation signatures, and driver gene mutations in virus-positive tumors. Compared to virus-negative cases, virus-positive cases have fewer mutations of TP53, CDKN2A, and deletions of 9p21.3/CDKN2A-CDKN1A while exhibiting more mutations in RNA helicases DDX3X and EIF4A1. Furthermore, an analysis of clinical trials of PD-(L)1 inhibitors suggests an association of virus-positivity with higher treatment response rate, particularly evident in gastric cancer and head and neck squamous cell carcinoma. Both cancer types also show evidence of increased CD8 + T cell infiltration and T cell receptor clonal selection in virus-positive tumors. These results illustrate the epidemiological, genetic, and therapeutic trends across virus-associated malignancies.

Indexed as

NeoplasmsOncogenic VirusesCD8-Positive T-LymphocytesCyclin-Dependent Kinase Inhibitor p16FemaleGenomicsHumansMaleMutationTumor Suppressor Protein p53Cyclin-Dependent Kinase Inhibitor p16Tumor Suppressor Protein p53

Identifiers

PMID40595559
PMCPMC12219571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.