Evidence map›Paper›PMID 24071851›Full record

ArticleNature genetics2013

Emerging landscape of oncogenic signatures across human cancers.

Giovanni Ciriello, Martin L Miller, Bülent Arman Aksoy, Yasin Senbabaoglu, Nikolaus Schultz, Chris Sander

2 registry-linked trialsAbstract read
In one paragraph

Article in Nature genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 806 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
806citing 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.

NCT05177666 unknown statusnot on this mapstarted 2021, after this paper: background citation

Patients With Advanced Refractory Solid Tumors Who Failed Standard Treatments and Matched Individualized Treatment Based on Tumor Molecular Characteristics: a Prospective Registration Study

TypeobservationalSponsorThe University of Hong Kong-Shenzhen HospitalRan2021 to 2024Enrolled120ConditionsFeasibility, Effectiveness, Safety, Targeted Molecular TherapyArmsTargeted therapy
NCT05767528 unknown statusnot on this mapstarted 2022, after this paper: background citation

Clinical Study of Neoadjuvant Therapy Outcome Prediction of Muscle-invasive Bladder Cancer Based on PTC Drug Sensitivity Detection

TypeobservationalSponsorChinese PLA General HospitalRan2022 to 2024Enrolled40ConditionsMuscle-Invasive Bladder CarcinomaArmsPatient-derived tumor-like cell clusters (PTC) drug sensitivity testing
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  3. Review
  4. Article
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  6. A Framework for Benchmarking Pathway Reconstruction Algorithms.bioRxiv : the preprint server for biology · 2026
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746 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

6 authors.

Giovanni CirielloComputational Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Martin L Miller
Bülent Arman Aksoy
Yasin Senbabaoglu
Nikolaus Schultz
Chris Sander

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
UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC)U24CA143858 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI BENZ, CHRISTOPHER, HAUSSLER, DAVID H · 2009 to 2016
$8.9M
Pathway Commons: Research Resource for Biological PathwaysU41HG006623 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2012 to 2017
$5.7M
NCI NIH HHS U24 CA143840NCI NIH HHS U24 CA143858NHGRI NIH HHS U41 HG006623NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Cancer therapy is challenged by the diversity of molecular implementations of oncogenic processes and by the resulting variation in therapeutic responses. Projects such as The Cancer Genome Atlas (TCGA) provide molecular tumor maps in unprecedented detail. The interpretation of these maps remains a major challenge. Here we distilled thousands of genetic and epigenetic features altered in cancers to ∼500 selected functional events (SFEs). Using this simplified description, we derived a hierarchical classification of 3,299 TCGA tumors from 12 cancer types. The top classes are dominated by either mutations (M class) or copy number changes (C class). This distinction is clearest at the extremes of genomic instability, indicating the presence of different oncogenic processes. The full hierarchy shows functional event patterns characteristic of multiple cross-tissue groups of tumors, termed oncogenic signature classes. Targetable functional events in a tumor class are suggestive of class-specific combination therapy. These results may assist in the definition of clinical trials to match actionable oncogenic signatures with personalized therapies.

Indexed as

OncogenesDNA Copy Number VariationsEpigenesis, GeneticGenetic Association StudiesGenetic Predisposition to DiseaseHumansMolecular Sequence AnnotationMutationNeoplasmsSequence Analysis, DNA

Identifiers

PMID24071851
PMCPMC4320046

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.