Evidence map›Paper›PMID 34215622›Full record

ArticleCancer research2021

Genetic Determinants of Somatic Selection of Mutational Processes in 3,566 Human Cancers.

Jintao Guo, Ying Zhou, Chaoqun Xu, Qinwei Chen, Zsófia Sztupinszki, Judit Börcsök, Canqiang Xu, Feng Ye, Weiwei Tang, Jiapeng Kang and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

18 authors at 4 institutions in 3 countries.

Jintao Guo *National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Ying Zhou *National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.ORCID 0000-0001-8276-2735
Chaoqun XuNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Qinwei ChenNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Zsófia SztupinszkiDanish Cancer Society Research Center, Copenhagen, Denmark.ORCID 0000-0002-8691-4086
Judit BörcsökDanish Cancer Society Research Center, Copenhagen, Denmark.ORCID 0000-0002-3290-3971
Canqiang XuXMU-Aginome Joint Lab, School of Informatics, Xiamen University, Xiamen, China.
Feng YeDepartment of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Weiwei TangDepartment of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Jiapeng KangDepartment of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Lu YangDepartment of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Jiaxin ZhongNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Taoling ZhongNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Tianhui HuNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Rongshan YuXMU-Aginome Joint Lab, School of Informatics, Xiamen University, Xiamen, China.ORCID 0000-0003-2179-173X
Zoltan SzallasiDanish Cancer Society Research Center, Copenhagen, Denmark.ORCID 0000-0001-5395-7509
Xianming DengState Key Laboratory of Cellular Stress Biology, School of Life Science, Xiamen University, Xiamen, China.
Qiyuan LiNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China. qiyuan.li@xmu.edu.cn.ORCID 0000-0002-8934-8948
Xiamen University · CNFujian Medical University · CNDanish Cancer Society · DKBoston Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The somatic landscape of the cancer genome results from different mutational processes represented by distinct "mutational signatures." Although several mutagenic mechanisms are known to cause specific mutational signatures in cell lines, the variation of somatic mutational activities in patients, which is mostly attributed to somatic selection, is still poorly explained. Here, we introduce a quantitative trait, mutational propensity (MP), and describe an integrated method to infer genetic determinants of variations in the mutational processes in 3,566 cancers with specific underlying mechanisms. As a result, we report 2,314 candidate determinants with both significant germline and somatic effects on somatic selection of mutational processes, of which, 485 act via cancer gene expression and 1,427 act through the tumor-immune microenvironment. These data demonstrate that the genetic determinants of MPs provide complementary information to known cancer driver genes, clonal evolution, and clinical biomarkers. SIGNIFICANCE: The genetic determinants of the somatic mutational processes in cancer elucidate the biology underlying somatic selection and evolution of cancers and demonstrate complementary predictive power across cancer types.

Indexed as

DNA Mutational AnalysisGenetic Predisposition to DiseaseMutationClonal EvolutionComputational BiologyGenes, NeoplasmGenetic VariationGenome, HumanGenomicsHumansModels, GeneticNeoplasmsNormal DistributionOncogenesPhenotypeProteomics

Identifiers

PMID34215622
PMCPMC9662923
OpenAlexW3176506086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.