Evidence map›Paper›PMID 20591134›Full record

ArticleBMC medical genomics2010

A gene expression signature of RAS pathway dependence predicts response to PI3K and RAS pathway inhibitors and expands the population of RAS pathway activated tumors.

Andrey Loboda, Michael Nebozhyn, Rich Klinghoffer, Jason Frazier, Michael Chastain, William Arthur, Brian Roberts, Theresa Zhang, Melissa Chenard, Brian Haines and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

87 citing papers in PubMed, 152 citations in OpenAlex.

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  6. Comprehensive biomarker analysis and final efficacy results of sorafenib in the BATTLE trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Trial
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  14. Tumor Cell Resistance to the Inhibition of BRAF and MEK1/2.International journal of molecular sciences · 2023
    Review
  15. Direct GDP-KRASTherapeutic advances in medical oncology · 2023
    Review
  16. Article
  17. Hyper-active RAS/MAPK introduces cancer-specific mitotic vulnerabilities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
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  20. Transcriptomic Determinants of Response to Pembrolizumab Monotherapy across Solid Tumor Types.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article

27 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

18 authors at 2 institutions in 1 country.

Andrey LobodaDepartment of Molecular Profiling and Research Informatics, Merck Research Laboratories, West Point, Pennsylvania 19486, USA.
Michael Nebozhyn
Rich Klinghoffer
Jason Frazier
Michael Chastain
William Arthur
Brian Roberts
Theresa Zhang
Melissa Chenard
Brian Haines
Jannik Andersen
Kumiko Nagashima
Cloud Paweletz
Bethany Lynch
Igor Feldman
Hongyue Dai
Pearl Huang
James Watters
Merck & Co., Inc., Rahway, NJ, USA (United States) · USUnited States Military Academy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperactivation of the Ras signaling pathway is a driver of many cancers, and RAS pathway activation can predict response to targeted therapies. Therefore, optimal methods for measuring Ras pathway activation are critical. The main focus of our work was to develop a gene expression signature that is predictive of RAS pathway dependence.

methodsWe used the coherent expression of RAS pathway-related genes across multiple datasets to derive a RAS pathway gene expression signature and generate RAS pathway activation scores in pre-clinical cancer models and human tumors. We then related this signature to KRAS mutation status and drug response data in pre-clinical and clinical datasets.

resultsThe RAS signature score is predictive of KRAS mutation status in lung tumors and cell lines with high (> 90%) sensitivity but relatively low (50%) specificity due to samples that have apparent RAS pathway activation in the absence of a KRAS mutation. In lung and breast cancer cell line panels, the RAS pathway signature score correlates with pMEK and pERK expression, and predicts resistance to AKT inhibition and sensitivity to MEK inhibition within both KRAS mutant and KRAS wild-type groups. The RAS pathway signature is upregulated in breast cancer cell lines that have acquired resistance to AKT inhibition, and is downregulated by inhibition of MEK. In lung cancer cell lines knockdown of KRAS using siRNA demonstrates that the RAS pathway signature is a better measure of dependence on RAS compared to KRAS mutation status. In human tumors, the RAS pathway signature is elevated in ER negative breast tumors and lung adenocarcinomas, and predicts resistance to cetuximab in metastatic colorectal cancer.

conclusionsThese data demonstrate that the RAS pathway signature is superior to KRAS mutation status for the prediction of dependence on RAS signaling, can predict response to PI3K and RAS pathway inhibitors, and is likely to have the most clinical utility in lung and breast tumors.

Indexed as

Gene Expression ProfilingPhosphoinositide-3 Kinase InhibitorsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBreast NeoplasmsCell Line, TumorCetuximabColorectal NeoplasmsDatabases, GeneticDrug Resistance, NeoplasmEnzyme InhibitorsFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCetuximabEnzyme InhibitorsKRAS protein, humanMitogen-Activated Protein Kinase KinasesPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProto-Oncogene ProteinsProto-Oncogene Proteins c-aktProto-Oncogene Proteins p21(ras)ras ProteinsRNA, Small Interfering

Identifiers

PMID20591134
PMCPMC2911390
OpenAlexW2022577155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.