Evidence map›Paper›PMID 29592813›Full record

ArticleGenome medicine2018

Cancer Genome Interpreter annotates the biological and clinical relevance of tumor alterations.

David Tamborero, Carlota Rubio-Perez, Jordi Deu-Pons, Michael P Schroeder, Ana Vivancos, Ana Rovira, Ignasi Tusquets, Joan Albanell, Jordi Rodon, Josep Tabernero and 4 more

Abstract read
In one paragraph

Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 350 papers.

0numbers the graph read from it
0cells of the map it votes in
350citing papers in PubMed
–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

350 citing papers in PubMed.

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

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

14 authors.

David TamboreroResearch Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical, Research Institute and Pompeu Fabra University, Barcelona, Spain.
Carlota Rubio-PerezResearch Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical, Research Institute and Pompeu Fabra University, Barcelona, Spain.
Jordi Deu-PonsResearch Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical, Research Institute and Pompeu Fabra University, Barcelona, Spain.
Michael P SchroederResearch Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical, Research Institute and Pompeu Fabra University, Barcelona, Spain.
Ana VivancosVall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain.
Ana RoviraHospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Ignasi TusquetsHospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Joan AlbanellHospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Jordi RodonVall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain.
Josep TaberneroVall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain.
Carmen de TorresDevelopmental Tumor Biology Laboratory, Institut de Recerca Pediàtrica- Hospital Sant Joan de Déu Barcelona, Barcelona, Spain.
Rodrigo DienstmannVall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Autonomous University of Barcelona, Barcelona, Spain.
Abel Gonzalez-PerezResearch Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical, Research Institute and Pompeu Fabra University, Barcelona, Spain.
Nuria Lopez-BigasResearch Program on Biomedical Informatics (GRIB), IMIM Hospital del Mar Medical, Research Institute and Pompeu Fabra University, Barcelona, Spain. nuria.lopez@irbbarcelona.org.

Funding

European Research Council 682398H2020 European Research Council 634143Ministerio de Economía y Competitividad BES2013-063354Ministerio de Economía y Competitividad RYC2013-14554Ministerio de Economía y Competitividad SAF2015-74072
6 · The paper itself

Abstract

While tumor genome sequencing has become widely available in clinical and research settings, the interpretation of tumor somatic variants remains an important bottleneck. Here we present the Cancer Genome Interpreter, a versatile platform that automates the interpretation of newly sequenced cancer genomes, annotating the potential of alterations detected in tumors to act as drivers and their possible effect on treatment response. The results are organized in different levels of evidence according to current knowledge, which we envision can support a broad range of oncology use cases. The resource is publicly available at http://www.cancergenomeinterpreter.org .

Indexed as

Genome, HumanMolecular Sequence AnnotationSoftwareAntineoplastic AgentsBiomarkers, TumorDatabases, GeneticGenes, NeoplasmHumansMutationNeoplasmsAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID29592813
PMCPMC5875005

What OpenQuestion holds

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LicenceCC BY
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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.