Evidence map›Paper›PMID 22964631›Full record

ArticleOncogene2013

Gene signature critical to cancer phenotype as a paradigm for anticancer drug discovery.

E R Sampson, H R McMurray, D C Hassane, L Newman, P Salzman, C T Jordan, H Land

Abstract read
In one paragraph

Article in Oncogene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Tracking metastatic breast cancer: the future of biology in biosensors.Medical oncology (Northwood, London, England) · 2016
    Review
  4. On non-detects in qPCR data.Bioinformatics (Oxford, England) · 2014
    Article
  5. Review
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

7 authors at 1 institution in 1 country.

E R SampsonDepartment of Biomedical Genetics, University of Rochester Medical Center, Rochester, NY 14642, USA.
H R McMurray
D C Hassane
L Newman
P Salzman
C T Jordan
H Land
University of Rochester Medical Center · US

Funding

CANCER RESEARCH TRAINING-EXPERIMENTAL THERAPY MODELST32CA009363 · NCI · UNIVERSITY OF ROCHESTER · PI LAND, HARTMUT · 1985 to 2013
$2.9M
Gene Networks Essential to Colon Cancer PhenotypeR01CA138249 · NCI · UNIVERSITY OF ROCHESTER · PI LAND, HARTMUT · 2008 to 2012
$2.6M
Multi step tumorigenesis, control of cell cycle entryR01CA090663 · NCI · UNIVERSITY OF ROCHESTER · PI LAND, HARTMUT · 2001 to 2005
$1.7M
Cooperation of oncogenic mutations in the control of malignancyR01CA120317 · NCI · UNIVERSITY OF ROCHESTER · PI LAND, HARTMUT · 2007 to 2011
$1.5M
Quantitative Insight into Gene CooperationR01GM075299 · NIGMS · UNIVERSITY OF ROCHESTER · PI ALMUDEVAR, ANTHONY · 2005 to 2008
$1.3M
Statistical & Computational Tools for Reconstruction of Gene Regulatory NetworksK99LM009477 · NLM · UNIVERSITY OF ROCHESTER · PI SALZMAN, PETER · 2007 to 2007
$72k
NCI NIH HHS CA120317NCI NIH HHS CA138249NCI NIH HHS CA90663,NCI NIH HHS R01 CA090663NCI NIH HHS R01 CA120317NCI NIH HHS R01 CA138249NCI NIH HHS T32 CA009363NCI NIH HHS T32 CA09363NIGMS NIH HHS GM075299NIGMS NIH HHS R01 GM075299NLM NIH HHS K99 LM009477
6 · The paper itself

Abstract

Malignant cell transformation commonly results in the deregulation of thousands of cellular genes, an observation that suggests a complex biological process and an inherently challenging scenario for the development of effective cancer interventions. To better define the genes/pathways essential to regulating the malignant phenotype, we recently described a novel strategy based on the cooperative nature of carcinogenesis that focuses on genes synergistically deregulated in response to cooperating oncogenic mutations. These so-called 'cooperation response genes' (CRGs) are highly enriched for genes critical for the cancer phenotype, thereby suggesting their causal role in the malignant state. Here, we show that CRGs have an essential role in drug-mediated anticancer activity and that anticancer agents can be identified through their ability to antagonize the CRG expression profile. These findings provide proof-of-concept for the use of the CRG signature as a novel means of drug discovery with relevance to underlying anticancer drug mechanisms.

Indexed as

AnimalsAntineoplastic AgentsBlotting, WesternChromatin ImmunoprecipitationDrug DiscoveryMiceMice, NudeNeoplasms, ExperimentalPhenotypeReal-Time Polymerase Chain ReactionTranscriptomeAntineoplastic Agents

Identifiers

PMID22964631
PMCPMC3631583
OpenAlexW2092886783

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.