Evidence map›Paper›PMID 40118060›Full record

ArticleCell systems2025

Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition.

Cameron T Flower, Chunmei Liu, Hui-Yu Chuang, Xiaoyang Ye, Hanjun Cheng, James R Heath, Wei Wei, Forest M White

Abstract read
In one paragraph

Article in Cell systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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.

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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Tyrosine phosphoproteome profiling identifies cell-intrinsic signals limiting the efficacy of tyrosine kinase inhibitor therapies.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Cameron T FlowerCenter for Precision Cancer Medicine, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Chunmei LiuInstitute for Systems Biology, Seattle, WA, USA.
Hui-Yu ChuangInstitute for Systems Biology, Seattle, WA, USA.
Xiaoyang YeInstitute for Systems Biology, Seattle, WA, USA.
Hanjun ChengInstitute for Systems Biology, Seattle, WA, USA.
James R HeathInstitute for Systems Biology, Seattle, WA, USA. Electronic address: jheath@systemsbiology.org.
Wei WeiInstitute for Systems Biology, Seattle, WA, USA. Electronic address: wwei@systemsbiology.org.
Forest M WhiteCenter for Precision Cancer Medicine, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: fwhite@mit.edu.

Funding

The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous ChemicalsP42ES027707 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Stuart S Levine · 2017 to 2026
$22.2M
Spatiotemporal Tumor Analytics for Guiding Sequential Targeted-Inhibitor: Immunotherapy Combinations (ST-Analytics)U54CA274509 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI James R. Heath · 2022 to 2026
$15.6M
Quantitative systems biology of glioblastoma cells and their interactions with the neuronal and immunological milieuU54CA283114 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Forest M White · 2023 to 2026
$9.7M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Steady states and cellular transitions associated with carcinogenesis and tumorprogressionU01CA217655 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HEATH, JAMES R., WEI, WEI · 2017 to 2021
$3.9M
Nano and biomolecular engineered technologies for neoantigen-specific T cell capture and characterizationR01CA264090 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HEATH, JAMES R. · 2021 to 2025
$2.7M
NCI NIH HHS R01 CA264090NCI NIH HHS U01 CA217655NCI NIH HHS U54 CA274509NCI NIH HHS U54 CA283114NIEHS NIH HHS P42 ES027707NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

A major contributor to poor sensitivity to anti-cancer kinase inhibitor therapy is drug-induced cellular adaptation, whereby remodeling of signaling and gene regulatory networks permits a drug-tolerant phenotype. Here, we resolve the scale and kinetics of critical subcellular events following oncogenic kinase inhibition and preceding cell cycle re-entry, using mass spectrometry-based phosphoproteomics and RNA sequencing (RNA-seq) to monitor the dynamics of thousands of growth- and survival-related signals over the first minutes, hours, and days of oncogenic BRAF inhibition in human melanoma cells. We observed sustained inhibition of the BRAF-ERK axis, gradual downregulation of cell cycle signaling, and three distinct, reversible phase transitions toward quiescence. Statistical inference of kinetically defined regulatory modules revealed a dominant compensatory induction of SRC family kinase (SFK) signaling, promoted in part by excess reactive oxygen species, rendering cells sensitive to co-treatment with an SFK inhibitor in vitro and in vivo, underscoring the translational potential for assessing early drug-induced adaptive signaling. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

MelanomaProtein Kinase InhibitorsProto-Oncogene Proteins B-rafAnimalsCell CycleCell Line, TumorHumansMiceReactive Oxygen SpeciesSignal Transductionsrc-Family KinasesBRAF protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins B-rafReactive Oxygen Speciessrc-Family KinasesBRAFcancer systems biologydrug adaptationgene regulatory networkkinase inhibitionmelanomamulti-omics integrationoncogenic signalingphosphoproteomicsSRC family kinase signaling

Identifiers

PMID40118060
PMCPMC12045616

What OpenQuestion holds

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Registered trials

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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.