Evidence map›Paper›PMID 40395635›Full record

ArticleMechanobiology in medicine2023

Extracellular cell matrix stiffness-driven drug resistance of breast cancer cells via EGFR activation.

Tingting Li, Yichao Li, Hao Wu, Chong Peng, Jiawen Wang, Shihuan Chen, Tian Zhao, Shun Li, Xiang Qin, Yiyao Liu

Abstract read
In one paragraph

Article in Mechanobiology in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  6. Beyond the membrane: rethinking EGFR signaling in physiology and cancer.Cellular and molecular life sciences : CMLS · 2026
    Review
  7. Review
  8. Article
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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

10 authors.

Tingting LiDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Yichao LiDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Hao WuTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan, PR China.
Chong PengDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Jiawen WangDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Shihuan ChenDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Tian ZhaoDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Shun LiDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Xiang QinDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
Yiyao LiuDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor progression is accompanied by complex structural changes in the extracellular matrix (ECM), which decrease the effective exposure of tumors to drugs. Breast cancer are highly heterogeneous with a typically high degree of ECM remodeling and stiffening. Therefore, it is especially important to explore the influence of ECM stiffness on breast cancer chemotherapy. Here, we fabricated 3D Methacrylate Gelatin (GelMA) hydrogels with varying stiffness by photo-crosslinking to simulate the change of tissue stiffness during the development of breast cancer. These 3D hydrogels were used to evaluate how MDA-MB-231 cells responded to the chemotherapy drug doxorubicin (DOX), the mechanical regulatory mechanism involved has also been investigated. The findings demonstrated that 15% GelMA hydrogel (9 ​kPa) increased the activity of EGFR to block the Hippo signaling pathway and activate Yes-associated protein (YAP). Activated YAP allowed cytosolic EGFR transport into the nucleus via binding with it, up-regulated the expression of their respective transcriptional targets, and thus generates drug resistance. Altogether, our study implicates that stiffness-dependent EGFR activation plays an important role in breast cancer drug resistance, indicating that targeting of both YAP and EGFR signals may present a promising therapeutic strategy for ECM stiffness-induced drug resistance.

Indexed as

Breast cancer cellsDrug resistanceECM stiffnessEGFRYAP

Identifiers

PMID40395635
PMCPMC12082153

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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.