Evidence map›Paper›PMID 34076361›Full record

ArticleCancer medicine2021

Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations.

Yujia Lan, Wei Liu, Wanmei Zhang, Jing Hu, Xiaojing Zhu, Linyun Wan, Suru A, Yanyan Ping, Yun Xiao

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 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

9 authors at 1 institution in 1 country.

Yujia LanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wei LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wanmei ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID 0000-0002-5996-4889
Xiaojing ZhuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Linyun WanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Suru ACollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yanyan PingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID 0000-0003-0785-3957
Harbin Medical University · CN

Funding

Heilongjiang Postdoctoral Foundation LBH-Q18099Heilongjiang Postdoctoral Foundation LBH-Z19082National Natural Science Foundation of China 31871336National Science Foundation of Heilongjiang Province YQ2019C012Special Funds for the Construction of Higher Education in Heilongjiang Province UNPYSCT-2018068
6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD), as the most common subtype of lung cancer, is the leading cause of cancer deaths in the world. The accumulation of driver gene mutations enables cancer cells to gradually acquire growth advantage. Therefore, it is important to understand the functions and interactions of driver gene mutations in cancer progression.

methodsWe obtained gene mutation data and gene expression profile of 506 LUAD tumors from The Cancer Genome Atlas (TCGA). The subtypes of tumors with driver gene mutations were identified by consensus cluster analysis.

resultsWe found 21 significantly mutually exclusive pairs consisting of 20 genes among 506 LUAD patients. Because of the increased transcriptomic heterogeneity of mutations, we identified subtypes among tumors with non-silent mutations in driver genes. There were 494 mutually exclusive pairs found among driver gene mutations within different subtypes. Furthermore, we identified functions of mutually exclusive pairs based on the hypothesis of functional redundancy of mutual exclusivity. These mutually exclusive pairs were significantly enriched in nuclear division and humoral immune response, which played crucial roles in cancer initiation and progression. We also found 79 mutually exclusive triples among subtypes of tumors with driver gene mutations, which were key roles in cell motility and cellular chemical homeostasis. In addition, two mutually exclusive triples and one mutually exclusive triple were associated with the overall survival and disease-specific survival of LUAD patients, respectively.

conclusionsWe revealed novel mutual exclusivity and generated a comprehensive functional landscape of driver gene mutations, which could offer a new perspective to understand the mechanisms of cancer development and identify potential biomarkers for LUAD therapy.

Indexed as

Disease ProgressionAdenocarcinoma of LungDatabases, GeneticGene Expression ProfilingGenetic HeterogeneityGenetic PhenomenaHumansLung NeoplasmsMutationTranscriptomecancer geneticsfunctional associationsmutationsmutual exclusivitynon small cell lung cancer

Identifiers

PMID34076361
PMCPMC8290236
OpenAlexW3164061467

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