Evidence map›Paper›PMID 30254145›Full record

ArticleCancer research2018

Genomic Characterization of Six Virus-Associated Cancers Identifies Changes in the Tumor Immune Microenvironment and Altered Genetic Programs.

Frederick S Varn, Evelien Schaafsma, Yue Wang, Chao Cheng

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.7field-weighted citation impact, top 7% of its field
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

33 citing papers in PubMed, 42 citations in OpenAlex.

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  8. Immune Infiltration in Tumor and Adjacent Non-Neoplastic Regions Codetermines Patient Clinical Outcomes in Early-Stage Lung Cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
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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

4 authors at 1 institution in 2 countries.

Frederick S VarnDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Evelien SchaafsmaDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Yue WangDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
Chao ChengDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. chao.cheng@dartmouth.edu.ORCID 0000-0002-5002-3417
Dartmouth College · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceKL2TR001088 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$3.3M
NCATS NIH HHS KL2 TR001088NCATS NIH HHS UL1 TR001086NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

Viruses affect approximately 20% of all human cancers and induce expression of immunogenic viral oncoproteins that make these tumors potent targets for immune checkpoint inhibitors. In this study, we apply computational tools to The Cancer Genome Atlas (TCGA) and other genomic datasets to define how virus infection shapes the tumor immune microenvironment and genetic architecture of 6 virus-associated tumor types. Across cancers, the cellular composition of the microenvironment varied by viral status, with virus-positive tumors often exhibiting increased infiltration of cytolytic cell types compared with their virus-negative counterparts. Analyses of the infiltrating T-cell receptor repertoire in these patients revealed that Epstein-Barr virus infection was associated with decreased receptor diversity in multiple cancers, suggesting an antigen-driven clonal T-cell response. Tissue-specific gene-expression signatures capturing virus-associated transcriptomic changes successfully predicted virus status in independent datasets and were associated with both immune- and proliferation-related features that were predictive of patient prognosis. Together, the analyses presented suggest viruses have distinct effects in different tumors, with implications for immunotherapy.

Indexed as

GenomicsTumor MicroenvironmentBiomarkers, TumorCD8-Positive T-LymphocytesCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Expression Regulation, ViralGenome, HumanHumansImmune SystemImmunotherapyLymphocytes, Tumor-InfiltratingMacrophagesNeoplasmsOncogene ProteinsBiomarkers, TumorOncogene ProteinsReceptors, Antigen, T-Cell

Identifiers

PMID30254145
PMCPMC6239894
OpenAlexW2949412576

What OpenQuestion holds

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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.