Evidence map›Paper›PMID 40909704›Full record

ArticlebioRxiv : the preprint server for biology2025

Tyrosine phosphoproteome profiling identifies cell-intrinsic signals limiting the efficacy of tyrosine kinase inhibitor therapies.

Cameron T Flower, Forest M White

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Cameron T FlowerKoch Institute for Integrative Cancer Research, Department of Biological Engineering, and Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-9632-9913
Forest M WhiteKoch Institute for Integrative Cancer Research, Department of Biological Engineering, and Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-1545-1651

Funding

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
NCI NIH HHS U54 CA283114NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Tyrosine kinases (TKs) are frequently mutated or overexpressed in cancer, and TK inhibitors (TKIs) are an important therapeutic modality against TK-driven cancers, but many patients show an underwhelming response to TKIs prescribed on the basis of tumor genotype. To find cell-intrinsic TK signaling patterns which might be predictive of poor response to TKI exposure, we used high-sensitivity multiplexed mass spectrometry to quantify endogenous levels of 1,222 phosphotyrosine (pY) sites across the proteomes of TK-driven human cancer cell lines with variable response to genotype-matched TKIs. In direct comparisons between TKI-tolerant and TKI-sensitive lines with a common driver TK, we found that TKI treatment was equally effective at blocking driver TK signaling, and higher basal activity of the driver TK did not always predict higher sensitivity to TKI. All tolerant lines showed a dampened proteome-wide pY response to TKI exposure compared to sensitive lines, suggesting tumor cells with more robust TK signaling are less vulnerable to driver TK blockade. We found that each tolerant line depends on a unique set of compensatory TKs and signaling axes but are unified by hyperactivity of at least one of the SRC family kinases (SFKs) or the related ABL1/2 kinases, both at rest and under TKI treatment, despite absence of SFK/ABL genetic mutations. In time- and dose-resolved drug combination experiments, SFK/ABL inhibitors were potently synergistic with all TKIs tested, demonstrating that elevated SFK/ABL signaling is a conserved bottleneck for maximal TKI efficacy which could be exploited therapeutically.

Indexed as

cell signalingdrug resistancedrug synergyoncogenic kinasephosphoproteomicsprecision oncologytargeted therapytyrosine kinase inhibitor

Identifiers

PMID40909704
PMCPMC12407678

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.