Evidence map›Paper›PMID 25814555›Full record

ArticleMolecular systems biology2015

Systematic analysis of BRAF(V600E) melanomas reveals a role for JNK/c-Jun pathway in adaptive resistance to drug-induced apoptosis.

Mohammad Fallahi-Sichani, Nathan J Moerke, Mario Niepel, Tinghu Zhang, Nathanael S Gray, Peter K Sorger

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
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  7. BRAFClinical and translational medicine · 2025
    Article
  8. Article
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  10. Small-molecule inhibition of MAP2K4 is synergistic with RAS inhibitors inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. OncogenicNeural regeneration research · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

4 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 at 3 institutions in 1 country.

Mohammad Fallahi-SichaniHMS LINCS Center, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Nathan J MoerkeHMS LINCS Center, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Mario NiepelHMS LINCS Center, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Tinghu ZhangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
Nathanael S GrayDepartment of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA.
Peter K SorgerHMS LINCS Center, Department of Systems Biology, Harvard Medical School, Boston, MA, USA peter_sorger@hms.harvard.edu.
Harvard University · USDana-Farber Cancer Institute · USCenter for Systems Biology · US

Funding

Pharmaco Response Signatures and Disease MechanismU54HL127365 · NHLBI · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2014 to 2019
$13.1M
Pharmaco Response Signatures and Disease MechanismU54HG006097 · NHGRI · HARVARD MEDICAL SCHOOL · PI MITCHISON, TIMOTHY J, SORGER, PETER KARL · 2010 to 2013
$9.7M
Quantitative Analysis of Cell Death Pathways in CancerP01CA139980 · NCI · HARVARD MEDICAL SCHOOL · PI WEISSLEDER, MD, PHD, RALPH · 2010 to 2014
$9.0M
Design of inhibitors of drug-resistance protein kinasesR01CA130876 · NCI · DANA-FARBER CANCER INST · PI GRAY, NATHANAEL SCHIANDER · 2008 to 2012
$2.1M
NCI NIH HHS CA130876NCI NIH HHS CA139980NCI NIH HHS P01 CA139980NCI NIH HHS R01 CA130876NHGRI NIH HHS U54 HG006097NHGRI NIH HHS U54HG006097NHLBI NIH HHS U54 HL127365NHLBI NIH HHS U54HL127365
6 · The paper itself

Abstract

Drugs that inhibit RAF/MEK signaling, such as vemurafenib, elicit profound but often temporary anti-tumor responses in patients with BRAF(V) (600E) melanoma. Adaptive responses to RAF/MEK inhibition occur on a timescale of hours to days, involve homeostatic responses that reactivate MAP kinase signaling and compensatory mitogenic pathways, and attenuate the anti-tumor effects of RAF/MEK inhibitors. We profile adaptive responses across a panel of melanoma cell lines using multiplex biochemical measurement, single-cell assays, and statistical modeling and show that adaptation involves at least six signaling cascades that act to reduce drug potency (IC50) and maximal effect (i.e., Emax ≪ 1). Among these cascades, we identify a role for JNK/c-Jun signaling in vemurafenib adaptation and show that RAF and JNK inhibitors synergize in cell killing. This arises because JNK inhibition prevents a subset of cells in a cycling population from becoming quiescent upon vemurafenib treatment, thereby reducing drug Emax. Our findings demonstrate the breadth and diversity of adaptive responses to RAF/MEK inhibition and a means to identify which steps in a signaling cascade are most predictive of phenotypic response.

Indexed as

Drug Resistance, NeoplasmApoptosisCell Line, TumorCell SurvivalDrug SynergismHumansIndolesMAP Kinase Signaling SystemMelanomaMutationProtein Kinase InhibitorsProto-Oncogene Proteins B-rafSulfonamidesVemurafenibBRAF protein, humanIndolesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafSulfonamidesVemurafenibadaptive responsesBRAFV600E melanomascell‐to‐cell variabilityRAF and MEK inhibitorssubmaximal drug effect

Identifiers

PMID25814555
PMCPMC4380931
OpenAlexW2110682642

What OpenQuestion holds

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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.