Evidence map›Paper›PMID 25926297›Full record

ArticleNature communications2015

Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes.

Rachel D Melamed, Kevin J Emmett, Chioma Madubata, Andrey Rzhetsky, Raul Rabadan

Abstract readComparative Study
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. High incidence ofTherapeutic advances in medical oncology · 2020
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  16. Reforming disease classification system-are we there yet?Annals of translational medicine · 2018
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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

5 authors.

Rachel D Melamed1] Department of Systems Biology, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA [2] Department of Biomedical Informatics, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA.ORCID 0000000330899806
Kevin J Emmett1] Department of Systems Biology, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA [2] Department of Physics, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA.
Chioma MadubataDepartment of Systems Biology, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA.
Andrey Rzhetsky1] Department of Medicine, University of Chicago, 900 E. 57th Street, Room 10160A, Chicago, Illinois 60637, USA [2] Computation Institute, University of Chicago, 900 E. 57th Street, Room 10160A, Chicago, Illinois 60637, USA [3] Institute for Genomics and Systems Biology, University of Chicago, 900 E. 57th Street, Room 10160A, Chicago, Illinois 60637, USA.
Raul Rabadan1] Department of Systems Biology, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA [2] Department of Biomedical Informatics, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA.

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
Identification and modeling of driver genetic modules in glioblastomaR01CA179044 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2014 to 2018
$2.3M
(PQB5) Reconstruction of Evolutionary Networks using Cross-Sectional Genomic DataR01CA185486 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LASORELLA, ANNA, RABADAN, RAUL · 2014 to 2017
$2.1M
NCI NIH HHS 1 R01 CA179044NCI NIH HHS 1 R01 CA185486NCI NIH HHS 1 U54 CA121852-05NCI NIH HHS R01 CA179044NCI NIH HHS R01 CA185486NCI NIH HHS U54 CA121852NIMH NIH HHS P50 MH094267NIMH NIH HHS P50 MH094267-01
6 · The paper itself

Abstract

Despite large-scale cancer genomics studies, key somatic mutations driving cancer, and their functional roles, remain elusive. Here, we propose that analysis of comorbidities of Mendelian diseases with cancers provides a novel, systematic way to discover new cancer genes. If germline genetic variation in Mendelian loci predisposes bearers to common cancers, the same loci may harbour cancer-associated somatic variation. Compilations of clinical records spanning over 100 million patients provide an unprecedented opportunity to assess clinical associations between Mendelian diseases and cancers. We systematically compare these comorbidities against recurrent somatic mutations from more than 5,000 patients across many cancers. Using multiple measures of genetic similarity, we show that a Mendelian disease and comorbid cancer indeed have genetic alterations of significant functional similarity. This result provides a basis to identify candidate drivers in cancers including melanoma and glioblastoma. Some Mendelian diseases demonstrate 'pan-cancer' comorbidity and shared genetics across cancers.

Indexed as

ComorbidityGenetic Association StudiesGenetic Diseases, InbornGenomicsHumansNeoplasms

Identifiers

PMID25926297
PMCPMC4416231

What OpenQuestion holds

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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.