Evidence map›Paper›PMID 38987529›Full record

ArticleCell death & disease2024

Myofibroblasts derived type V collagen promoting tissue mechanical stress and facilitating metastasis and therapy resistance of lung adenocarcinoma cells.

Guangsheng Zhu, Yanan Wang, Yingjie Wang, Hua Huang, Boshi Li, Peijie Chen, Chen Chen, Hongbing Zhang, Yongwen Li, Hongyu Liu and 1 more

Abstract read
In one paragraph

Article in Cell death & disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Risk prediction of non-small cell lung cancer in patients with pulmonary nodules: a single-center cohort study based on six machine learning algorithms.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
  9. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
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  15. 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

11 authors.

Guangsheng Zhu *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.ORCID 0000-0001-7580-1986
Yanan Wang *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Yingjie Wang *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Hua HuangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Boshi LiDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Peijie ChenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Chen ChenTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Hongbing ZhangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
Yongwen LiTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China. leeywen@163.com.
Hongyu LiuTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People's Republic of China. liuhongyu123@hotmail.com.
Jun ChenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, People's Republic of China. hunterchenjun@hotmail.com.ORCID 0000-0001-9552-4429

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61973232National Natural Science Foundation of China (National Science Foundation of China) 82172569
6 · The paper itself

Abstract

Lung cancer is a leading cause of cancer-related mortality globally, with a dismal 5-year survival rate, particularly for Lung Adenocarcinoma (LUAD). Mechanical changes within the tumor microenvironment, such as extracellular matrix (ECM) remodeling and fibroblast activity, play pivotal roles in cancer progression and metastasis. However, the specific impact of the basement membrane (BM) on the mechanical characteristics of LUAD remains unclear. This study aims to identify BM genes influencing internal mechanical stress in tumors, elucidating their effects on LUAD metastasis and therapy resistance, and exploring strategies to counteract these effects. Using Matrigel overlay and Transwell assays, we found that mechanical stress, mimicked by matrix application, augmented LUAD cell migration and invasion, correlating with ECM alterations and activation of the epithelial-mesenchymal transition (EMT) pathway. Employing machine learning, we developed the SVM_Score model based on relevant BM genes, which accurately predicted LUAD patient prognosis and EMT propensity across multiple datasets. Lower SVM_Scores were associated with worse survival outcomes, elevated cancer-related pathways, increased Tumor Mutation Burden, and higher internal mechanical stress in LUAD tissues. Notably, the SVM_Score was closely linked to COL5A1 expression in myofibroblasts, a key marker of mechanical stress. High COL5A1 expression from myofibroblasts promoted tumor invasiveness and EMT pathway activation in LUAD cells. Additionally, treatment with Sorafenib, which targets COL5A1 secretion, attenuated the tumor-promoting effects of myofibroblast-derived COL5A1, inhibiting LUAD cell proliferation, migration, and enhancing chemosensitivity. In conclusion, this study elucidates the complex interplay between mechanical stress, ECM alterations, and LUAD progression. The SVM_Score emerges as a robust prognostic tool reflecting tumor mechanical characteristics, while Sorafenib intervention targeting COL5A1 secretion presents a promising therapeutic strategy to mitigate LUAD aggressiveness. These findings deepen our understanding of the biomechanical aspects of LUAD and offer insights for future research and clinical applications.

Indexed as

Adenocarcinoma of LungCollagen Type VEpithelial-Mesenchymal TransitionLung NeoplasmsMyofibroblastsStress, MechanicalAnimalsCell Line, TumorCell MovementDrug Resistance, NeoplasmExtracellular MatrixHumansMiceNeoplasm MetastasisSorafenibTumor MicroenvironmentCOL5A1 protein, humanCollagen Type VSorafenib

Identifiers

PMID38987529
PMCPMC11237033

What OpenQuestion holds

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LicenceCC BY
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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.