Evidence map›Paper›PMID 23832661›Full record

SynthesisCancer research2013

Cooperation and antagonism among cancer genes: the renal cancer paradigm.

Samuel Peña-Llopis, Alana Christie, Xian-Jin Xie, James Brugarolas

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. New developments in existing WHO entities and evolving molecular concepts: The Genitourinary Pathology Society (GUPS) update on renal neoplasia.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Guideline
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  11. Determinants of late metastases in renal cell carcinoma.Journal of the National Cancer Institute · 2025
    Article
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3 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

4 authors at 1 institution in 1 country.

Samuel Peña-LlopisDepartments of Internal Medicine, Developmental Biology, and Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Alana Christie
Xian-Jin Xie
James Brugarolas
The University of Texas Southwestern Medical Center · US

Funding

Regulation of the mTOR Pathway by Hypoxia and the REDD1 ProteinR01CA129387 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI BRUGAROLAS, JAMES · 2008 to 2012
$1.6M
NCI NIH HHS R01 CA129387NCI NIH HHS R01CA129387
6 · The paper itself

Abstract

It is poorly understood how driver mutations in cancer genes work together to promote tumor development. Renal cell carcinoma (RCC) offers a unique opportunity to study complex relationships among cancer genes. The four most commonly mutated genes in RCC of clear-cell type (the most common type) are two-hit tumor suppressor genes, and they cluster in a 43-Mb region on chromosome 3p that is deleted in approximately 90% of tumors: VHL (mutated in ∼80%), PBRM1 (∼50%), BAP1 (∼15%), and SETD2 (∼15%). Meta-analyses that we conducted show that mutations in PBRM1 and SETD2 co-occur in tumors at a frequency higher than expected by chance alone, indicating that these mutations may cooperate in tumorigenesis. In contrast, consistent with our previous results, mutations in PBRM1 and BAP1 tend to be mutually exclusive. Mutation exclusivity analyses (often confounded by lack of statistical power) raise the possibility of functional redundancy. However, mutation exclusivity may indicate negative genetic interactions, as proposed herein for PBRM1 and BAP1, and mutations in these genes define RCC with different pathologic features, gene expression profiles, and outcomes. Negative genetic interactions among cancer genes point toward broader context dependencies of cancer gene action beyond tissue dependencies. An enhanced understanding of cancer gene dependencies may help to unravel vulnerabilities that can be exploited therapeutically.

Indexed as

Genes, Tumor SuppressorAnimalsCarcinogenesisCarcinoma, Renal CellHumansKidney NeoplasmsMutation

Identifiers

PMID23832661
PMCPMC4051157
OpenAlexW2124807266

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.