Evidence map›Paper›PMID 32024997›Full record

ArticleNature genetics2020

Comprehensive molecular characterization of mitochondrial genomes in human cancers.

Yuan Yuan, Young Seok Ju, Youngwook Kim, Jun Li, Yumeng Wang, Christopher J Yoon, Yang Yang, Inigo Martincorena, Chad J Creighton, John N Weinstein and 8 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 268 papers.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed
20.5field-weighted citation impact, top 1% 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

268 citing papers in PubMed, 498 citations in OpenAlex.

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208 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 12 institutions in 4 countries.

Yuan Yuan *Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-4706-7897
Young Seok Ju *Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-5514-4189
Youngwook Kim *Department of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0002-1106-3037
Jun LiDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1171-7141
Yumeng WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christopher J YoonGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Yang YangDivision of Biostatistics, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
Inigo MartincorenaCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Chad J CreightonDepartment of Medicine and Dan L. Duncan Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6090-703X
John N WeinsteinDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-9401-6908
Yanxun XuDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.
Leng HanDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA.ORCID http://orcid.org/0000-0002-7380-2640
Hyung-Lae KimDepartment of Biochemistry, Ewha Womans University School of Medicine, Seoul, Korea.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Keunchil ParkDivision of Hematology/Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. kpark@skku.edu.ORCID http://orcid.org/0000-0002-4846-7449
Peter J CampbellCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK. pc8@sanger.ac.uk.ORCID http://orcid.org/0000-0002-3921-0510
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. hliang1@mdanderson.org.ORCID http://orcid.org/0000-0001-7633-286X
PCAWG Consortium
The University of Texas MD Anderson Cancer Center · USKorea Advanced Institute of Science and Technology · KREwha Womans University · KRThe University of Texas Health Science Center at Houston · USCambridge University Hospitals NHS Foundation Trust · GBBaylor College of Medicine · USSamsung Medical Center · KRWellcome Sanger Institute · GBJohns Hopkins University · USRIKEN Center for Integrative Medical Sciences · JPSamsung (South Korea) · KRUniversity of Cambridge · GB

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Cancer Research UK 21777Cancer Research UK 23924NCI NIH HHS P30 CA016672NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Mitochondria are essential cellular organelles that play critical roles in cancer. Here, as part of the International Cancer Genome Consortium/The Cancer Genome Atlas Pan-Cancer Analysis of Whole Genomes Consortium, which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumor types, we performed a multidimensional, integrated characterization of mitochondrial genomes and related RNA sequencing data. Our analysis presents the most definitive mutational landscape of mitochondrial genomes and identifies several hypermutated cases. Truncating mutations are markedly enriched in kidney, colorectal and thyroid cancers, suggesting oncogenic effects with the activation of signaling pathways. We find frequent somatic nuclear transfers of mitochondrial DNA, some of which disrupt therapeutic target genes. Mitochondrial copy number varies greatly within and across cancers and correlates with clinical variables. Co-expression analysis highlights the function of mitochondrial genes in oxidative phosphorylation, DNA repair and the cell cycle, and shows their connections with clinically actionable genes. Our study lays a foundation for translating mitochondrial biology into clinical applications.

Indexed as

DNA Copy Number VariationsWhole Genome SequencingCell CycleDNA, MitochondrialDNA RepairGenome, HumanGenome, MitochondrialHumansMutationNeoplasmsOxidative PhosphorylationSequence Analysis, RNADNA, Mitochondrial

Identifiers

PMID32024997
PMCPMC7058535
OpenAlexW3004462687

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.