Evidence map›Paper›PMID 23550210›Full record

ArticleScience signaling2013

Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

Jianjiong Gao, Bülent Arman Aksoy, Ugur Dogrusoz, Gideon Dresdner, Benjamin Gross, S Onur Sumer, Yichao Sun, Anders Jacobsen, Rileen Sinha, Erik Larsson and 3 more

Abstract read
In one paragraph

Article in Science signaling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10,183 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10,183citing 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

10,183 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Evolution of AR and Non-AR Alterations in ctDNA of Patients with Metastatic Prostate Cancer Treated in the Phase III Alliance A031201 Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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10,123 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

13 authors.

Jianjiong GaoComputational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
Bülent Arman Aksoy
Ugur Dogrusoz
Gideon Dresdner
Benjamin Gross
S Onur Sumer
Yichao Sun
Anders Jacobsen
Rileen Sinha
Erik Larsson
Ethan Cerami
Chris Sander
Nikolaus Schultz

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
MSKCC Center for Translational Cancer Genomic AnalysisU24CA143840 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADANYI, MARC, SANDER, CHRIS · 2009 to 2016
$11.5M
RESOURCE FOR ANALYSIS, VIZUALIZATION, AND INTEGRATION OF NETWORKS (RAVIN)P41RR031228 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2010 to 2011
$3.0M
Functional consequences of cancer mutationsR01CA132744 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2009 to 2012
$2.8M
A Computational Platform for Analyzing and Visualizing Integrated TCGA Data in thR21CA135870 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2008 to 2009
$522k
NCI NIH HHS R01 CA132744NCI NIH HHS R21 CA135870NCI NIH HHS R21CA135870NCI NIH HHS U24 CA143840NCI NIH HHS U24CA143840NCRR NIH HHS P41 RR031228NIGMS NIH HHS GM103504NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksGenomicsGenetic Predisposition to DiseaseHumansInformation Storage and RetrievalInternetNeoplasmsReproducibility of ResultsSoftware

Identifiers

PMID23550210
PMCPMC4160307

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.