Evidence map›Paper›PMID 41309558›Full record

ArticleSignal transduction and targeted therapy2025

MUCIN 1 confers inflammatory memory of tyrosine kinase inhibitor resistance in non-small cell lung cancer.

Shinkichi Takamori, Naoki Haratake, Atrayee Bhattacharya, Chie Kikutake, Hiroki Ozawa, Keisuke Shigeta, Ayako Nakashoji, Hideko Isozaki, Mototsugu Shimokawa, Mikita Suyama and 10 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

20 authors.

Shinkichi Takamori *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Naoki Haratake *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Atrayee Bhattacharya *Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. Atrayee_Bhattacharya@dfci.harvard.edu.
Chie KikutakeDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Hiroki OzawaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Keisuke ShigetaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Ayako NakashojiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2443-6995
Hideko IsozakiDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Mototsugu ShimokawaDepartment of Biostatistics, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan.
Mikita SuyamaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Asato HashinokuchiDepartment of Thoracic Oncology, NHO Kyushu Cancer Center, Fukuoka, Japan.
Kazuki TakadaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Gouji ToyokawaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yuichi YamadaFukuoka Pathology Clinic, Fukuoka, Japan.
Tomoyoshi TakenakaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kenichi TaguchiCancer Pathology Laboratory, NHO Kyushu Cancer Center, Fukuoka, Japan.
Masafumi YamaguchiDepartment of Thoracic Oncology, NHO Kyushu Cancer Center, Fukuoka, Japan.
Tomoharu YoshizumiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-4497-1816
Aaron N HataDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-6127-318X
Donald KufeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. Donald_Kufe@dfci.harvard.edu.ORCID 0000-0001-5743-8888

Funding

Targeting the MUC1-C Oncoprotein in Triple-Negative Breast CancerR01CA097098 · NCI · DANA-FARBER CANCER INSTITUTE · PI DONALD W. KUFE · 2002 to 2026
$8.8M
Combining CDK7 and MUC1-C inhibition to target different subtypes of small cell lung cancerR01CA282437 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DONALD W. KUFE, Kwok Kin Wong · 2024 to 2026
$2.1M
MUC1-C is a target for advancing immunotherapy of non-small cell lung cancerR21CA289134 · NCI · DANA-FARBER CANCER INST · PI KUFE, DONALD W. · 2024 to 2024
$450k
NCI NIH HHS R01 CA097098NCI NIH HHS R01 CA282437NCI NIH HHS R21 CA289134U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA97098, CA282437, CA289134
6 · The paper itself

Abstract

Resistance of NSCLCs to osimertinib, an EGFR tyrosine kinase inhibitor (TKI), is mediated by pleotropic mechanisms that pose a significant challenge for subsequent treatment. We report that the oncogenic MUC1-C/M1C protein confers resistance to osimertinib by regulating the STAT1 and interferon (IFN) type I/II pathways. Studies of osimertinib-resistant NSCLC cell lines selected for growth in the absence of drug demonstrate dependence on MUC1-C and the STAT1 pathway for memory of the refractory phenotype. This inflammatory memory of TKI resistance is mediated through activation of the MUC1 gene at (i) a proximal enhancer-like signature 1 (pELS-1) by MUC1-C and STAT1 and (ii) a pELS-2 by MUC1-C, JUN/AP-1, and PBAF. Our results further reveal that the MUC1-C-driven STAT1 inflammatory response promotes resistance of patient-derived (i) EGFR mutant NSCLC cells with MET amplification to the combination of osimertinib+MET TKIs, and (ii) EGFR(T790M/C797S) NSCLC cells to the 4th generation EGFR TKI TQB3804. Of clinical significance, we report that NSCLC cells dependent on MUC1-C for TKI resistance are druggable with an antibody-drug conjugate (M1C ADC) in vitro and in a PDX tumor model. These findings demonstrate that MUC1-C (i) is essential for TKI resistance of NSCLC cells by driving an inflammatory memory response and (ii) is a target for M1C ADC treatment of TKI-refractory NSCLCs.

Indexed as

Carcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsMucin-1Protein Kinase InhibitorsAcrylamidesAniline CompoundsAnimalsCell Line, TumorErbB ReceptorsHumansIndolesInflammationMicePyrimidinesSTAT1 Transcription FactorAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesMUC1 protein, humanMucin-1osimertinibProtein Kinase InhibitorsPyrimidinesSTAT1 protein, humanSTAT1 Transcription FactorTyrosine Kinase Inhibitors

Identifiers

PMID41309558
PMCPMC12660833

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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.