Evidence map›Paper›PMID 29045845›Full record

ArticleCell reports2017

Revealing the Determinants of Widespread Alternative Splicing Perturbation in Cancer.

Yongsheng Li, Nidhi Sahni, Rita Pancsa, Daniel J McGrail, Juan Xu, Xu Hua, Jasmin Coulombe-Huntington, Michael Ryan, Boranai Tychhon, Dhanistha Sudhakar and 6 more

Abstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Sources of Cancer Neoantigens beyond Single-Nucleotide Variants.International journal of molecular sciences · 2022
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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

16 authors.

Yongsheng LiDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; College of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin 150081, China.
Nidhi SahniDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: nsahni@mdanderson.org.
Rita PancsaMedical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.
Daniel J McGrailDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Juan XuCollege of Bioinformatics Science and Technology and Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin 150081, China.
Xu HuaDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jasmin Coulombe-HuntingtonInstitute for Research in Immunology and Cancer, Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada.
Michael RyanIn Silico Solutions, Falls Church, VA 22043, USA.
Boranai TychhonDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Dhanistha SudhakarDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Limei HuDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Michael TyersInstitute for Research in Immunology and Cancer, Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada.
Xiaoqian JiangDivision of Biomedical Informatics, University of California at San Diego, La Jolla, CA 92093, USA.
Shiaw-Yih LinDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
M Madan BabuMedical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK. Electronic address: madanm@mrc-lmb.cam.ac.uk.
Song YiDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: syi2@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
BioGRID: an open resource for biological interactions and network analysisR01RR024031 · NCRR · SINAI HEALTH SYSTEM · PI TYERS, MIKE · 2007 to 2011
$3.2M
Medical Research Council MC_U105185859NCI NIH HHS P30 CA016672NCRR NIH HHS R01 RR024031
6 · The paper itself

Abstract

It is increasingly appreciated that alternative splicing plays a key role in generating functional specificity and diversity in cancer. However, the mechanisms by which cancer mutations perturb splicing remain unknown. Here, we developed a network-based strategy, DrAS-Net, to investigate more than 2.5 million variants across cancer types and link somatic mutations with cancer-specific splicing events. We identified more than 40,000 driver variant candidates and their 80,000 putative splicing targets deregulated in 33 cancer types and inferred their functional impact. Strikingly, tumors with splicing perturbations show reduced expression of immune system-related genes and increased expression of cell proliferation markers. Tumors harboring different mutations in the same gene often exhibit distinct splicing perturbations. Further stratification of 10,000 patients based on their mutation-splicing relationships identifies subtypes with distinct clinical features, including survival rates. Our work reveals how single-nucleotide changes can alter the repertoires of splicing isoforms, providing insights into oncogenic mechanisms for precision medicine.

Indexed as

Alternative SplicingGene Regulatory NetworksGenetic HeterogeneityHumansInternetMutationNeoplasmsPhenotypealternative splicingbioinformaticscancercomputational biologyDrAS-Netgene regulationgenotype-phenotype relationshipsNetwork biologysomatic mutationssystems biology

Identifiers

PMID29045845
PMCPMC5689467

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.