Evidence map›Paper›PMID 40778578›Full record

ArticleCancer research communications2025

Characterization of Mutational Signatures in Tumors from a Large Chinese Population.

Aaron Chevalier, Tao Guo, Natasha Q Gurevich, Jingwen Xu, Masanao Yajima, Joshua D Campbell

Abstract read
In one paragraph

Article in Cancer research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  7. Tumor Mutation Signature Reveals the Risk Factors of Lung Adenocarcinoma withCancer control : journal of the Moffitt Cancer Center
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Aaron Chevalier *Section of Computational Biomedicine, Department of Medicine, Boston Unversity Chobanian & Avedisian School of Medicine, Boston, Massachusetts.ORCID 0000-0002-3968-9250
Tao Guo *Section of Computational Biomedicine, Department of Medicine, Boston Unversity Chobanian & Avedisian School of Medicine, Boston, Massachusetts.ORCID 0009-0005-8960-9203
Natasha Q Gurevich *Section of Computational Biomedicine, Department of Medicine, Boston Unversity Chobanian & Avedisian School of Medicine, Boston, Massachusetts.ORCID 0000-0002-0747-6840
Jingwen XuSection of Computational Biomedicine, Department of Medicine, Boston Unversity Chobanian & Avedisian School of Medicine, Boston, Massachusetts.ORCID 0009-0001-0114-452X
Masanao YajimaDepartment of Mathematics & Statistics, Boston University, Boston, Massachusetts.ORCID 0000-0002-7583-3707
Joshua D CampbellSection of Computational Biomedicine, Department of Medicine, Boston Unversity Chobanian & Avedisian School of Medicine, Boston, Massachusetts.ORCID 0000-0003-0780-8662

Funding

Utilizing Bayesian modeling to improve mutational signature inference in large-scale datasetsU01CA253500 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CAMPBELL, JOSHUA D, YAJIMA, MASANAO · 2021 to 2023
$1.2M
Center for Cancer Research (CCR) 1U01CA253500NCI NIH HHS U01 CA253500
6 · The paper itself

Abstract

The majority of mutational signatures have been characterized in tumors from American and European countries, and the degree to which mutational signatures are similar to or different from those in Chinese populations has not been fully explored. We leveraged a large-scale clinical sequencing cohort of tumors from the Chinese population developed by OrigiMed (OM). A total of 2,115 tumors from 25 major tumor types that had at least 10 single-base substitutions (SBS) were used for mutational signature analysis. Sixteen mutational signatures from the Catalogue of Somatic Mutations in Cancer (COSMIC) database were identified in the OM cohort using the musicatk package. The activity levels for most of the signatures were similar to those in a cohort from Memorial Sloan Kettering in the United States. The activity level for the apolipoprotein B mRNA editing catalytic polypeptide-like-related signature SBS2 was significantly lower in breast tumors in the OM cohort. The aristolochic acid signature SBS22 was observed in four soft-tissue sarcomas, and the POLE-associated signature SBS10 was observed in a gallbladder carcinoma. In lung adenocarcinoma, the polycyclic aromatic hydrocarbon signature SBS4 was significantly higher in males compared with females but not associated with smoking status. UV-related mutations were significantly lower in cutaneous melanomas from the Chinese cohort compared with the American cohort and may contribute to lower response rates to immunotherapy observed in this population. Overall, these results add to our understanding of the mutational processes that contribute to tumors from the Chinese population. SIGNIFICANCE: Analysis of a large Chinese cohort from 25 tumor types reveals similarities and differences in the activity of mutational signatures compared with other populations.

Indexed as

MutationNeoplasmsChinaCohort StudiesDNA Mutational AnalysisEast Asian PeopleFemaleHumansMale

Identifiers

PMID40778578
PMCPMC12395221

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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.