Evidence map›Paper›PMID 37961516›Full record

ArticlebioRxiv : the preprint server for biology2023

Dissecting signaling regulators driving AXL-mediated bypass resistance and associated phenotypes by phosphosite perturbations.

Marc Creixell, Scott D Taylor, Jacqueline Gerritsen, Song Yi Bae, Mingxuan Jiang, Teresa Augustin, Michelle Loui, Carmen Boixo, Pau Creixell, Forest M White and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 3 institutions in 2 countries.

Marc CreixellDepartment of Bioengineering, University of California Los Angeles; Jonsson Comprehensive Cancer Center, University of California Los Angeles.ORCID 0000-0003-3981-934X
Scott D TaylorDepartment of Bioengineering, University of California Los Angeles; Jonsson Comprehensive Cancer Center, University of California Los Angeles.
Jacqueline GerritsenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge MA, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge MA, USA; Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge MA, USA.
Song Yi BaeDepartment of Bioengineering, University of California Los Angeles; Jonsson Comprehensive Cancer Center, University of California Los Angeles.ORCID 0009-0000-7234-2497
Mingxuan JiangCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, United Kingdom.
Teresa AugustinCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, United Kingdom.
Michelle LouiDepartment of Bioengineering, University of California Los Angeles; Jonsson Comprehensive Cancer Center, University of California Los Angeles.
Carmen BoixoDepartment of Bioengineering, University of California Los Angeles; Jonsson Comprehensive Cancer Center, University of California Los Angeles.
Pau CreixellCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, United Kingdom.
Forest M WhiteDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge MA, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge MA, USA; Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge MA, USA.
Aaron S MeyerDepartment of Bioengineering, University of California Los Angeles; Jonsson Comprehensive Cancer Center, University of California Los Angeles.ORCID 0000-0003-4513-1840
University of California, Los Angeles · USUniversity of Cambridge · GBMassachusetts Institute of Technology · US

Funding

Precision lung cancer therapy design through multiplexed adapter measurementU01CA215709 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HAURA, ERIC B., MEYER, AARON SAMUEL · 2017 to 2021
$2.3M
NCI NIH HHS U01 CA215709
6 · The paper itself

Abstract

Receptor tyrosine kinase (RTK)-targeted therapies are often effective but invariably limited by drug resistance. A major mechanism of acquired resistance involves "bypass" switching to alternative pathways driven by non-targeted RTKs that restore proliferation. One such RTK is AXL whose overexpression, frequently observed in bypass resistant tumors, drives both cell survival and associated malignant phenotypes such as epithelial-to-mesenchymal (EMT) transition and migration. However, the signaling molecules and pathways eliciting these responses have remained elusive. To explore these coordinated effects, we generated a panel of mutant lung adenocarcinoma PC9 cell lines in which each AXL intracellular tyrosine residue was mutated to phenylalanine. By integrating measurements of phosphorylation signaling and other phenotypic changes associated with resistance through multivariate modeling, we mapped signaling perturbations to specific resistant phenotypes. Our results suggest that AXL signaling can be summarized into two clusters associated with progressive disease and poor clinical outcomes in lung cancer patients. These clusters displayed favorable Abl1 and SFK motifs and their phosphorylation was consistently decreased by dasatinib. High-throughput kinase specificity profiling showed that AXL likely activates the SFK cluster through FAK1 which is known to complex with Src. Moreover, the SFK cluster overlapped with a previously established focal adhesion kinase (FAK1) signature conferring EMT-mediated erlotinib resistance in lung cancer cells. Finally, we show that downstream of this kinase signaling, AXL and YAP form a positive feedback loop that sustains drug tolerant persister cells. Altogether, this work demonstrates an approach for dissecting signaling regulators by which AXL drives erlotinib resistance-associated phenotypic changes.

Identifiers

PMID37961516
PMCPMC10634689
OpenAlexW4387880389

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

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.