Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer
Abstract Extracellular matrix (ECM) is a vital component of the tumor microenvironment and plays a crucial role in the development and progression of gastric cancer (GC). Co-expression networks were established by means of the “WGCNA” package, the optimal model for extracellular matrix scores (ECMs)...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-88376-8 |
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| author | Nan Xu Taojing Zhang Weiwei Sun Chenxiao Ye Huamiao Zhou |
| author_facet | Nan Xu Taojing Zhang Weiwei Sun Chenxiao Ye Huamiao Zhou |
| author_sort | Nan Xu |
| collection | DOAJ |
| description | Abstract Extracellular matrix (ECM) is a vital component of the tumor microenvironment and plays a crucial role in the development and progression of gastric cancer (GC). Co-expression networks were established by means of the “WGCNA” package, the optimal model for extracellular matrix scores (ECMs) was developed and validated, with its accuracy in predicting the prognosis and treatment sensitivity of GC patients assessed. We performed univariate cox regression analysis [HR = 6.8 ( 3.3–14 ), p < 0.001] which demonstrated that ECMs was an independent risk character and perceptibly superior to other factors with further analysis of multivariate Cox regression [HR = 8.68 ( 4.16–18.08 ), p < 0.001]. The nomogram, presenting the clinical prognosis model for GC patients, demonstrated accuracy through KM analysis [HR = 3.97 (2.56–6.16), p < 0.001] and ROC curves with AUC values of 0.70, 0.72, and 0.72 at 1, 3, and 5 years, respectively. Using the ECMs model, we stratified GC patients into high- and low-risk groups, enabling precise predictions of prognosis and drug sensitivity. This stratification provides a new strategic direction for the personalized treatment of GC. |
| format | Article |
| id | doaj-art-e0858406082a4af18ac2edf128258dae |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-e0858406082a4af18ac2edf128258dae2025-08-20T01:57:51ZengNature PortfolioScientific Reports2045-23222025-03-0115111410.1038/s41598-025-88376-8Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancerNan Xu0Taojing Zhang1Weiwei Sun2Chenxiao Ye3Huamiao Zhou4School of Life Sciences, Zhejiang Chinese Medical UniversitySchool of Life Sciences, Zhejiang Chinese Medical UniversitySchool of Life Sciences, Zhejiang Chinese Medical UniversityThe First Clinical Medical College, Zhejiang Chinese Medical UniversityDepartment of Medical Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical UniversityAbstract Extracellular matrix (ECM) is a vital component of the tumor microenvironment and plays a crucial role in the development and progression of gastric cancer (GC). Co-expression networks were established by means of the “WGCNA” package, the optimal model for extracellular matrix scores (ECMs) was developed and validated, with its accuracy in predicting the prognosis and treatment sensitivity of GC patients assessed. We performed univariate cox regression analysis [HR = 6.8 ( 3.3–14 ), p < 0.001] which demonstrated that ECMs was an independent risk character and perceptibly superior to other factors with further analysis of multivariate Cox regression [HR = 8.68 ( 4.16–18.08 ), p < 0.001]. The nomogram, presenting the clinical prognosis model for GC patients, demonstrated accuracy through KM analysis [HR = 3.97 (2.56–6.16), p < 0.001] and ROC curves with AUC values of 0.70, 0.72, and 0.72 at 1, 3, and 5 years, respectively. Using the ECMs model, we stratified GC patients into high- and low-risk groups, enabling precise predictions of prognosis and drug sensitivity. This stratification provides a new strategic direction for the personalized treatment of GC.https://doi.org/10.1038/s41598-025-88376-8Gastric cancerExtracellular matrixWeighted gene co-expression network analysisPrognosisImmunotherapy |
| spellingShingle | Nan Xu Taojing Zhang Weiwei Sun Chenxiao Ye Huamiao Zhou Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer Scientific Reports Gastric cancer Extracellular matrix Weighted gene co-expression network analysis Prognosis Immunotherapy |
| title | Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer |
| title_full | Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer |
| title_fullStr | Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer |
| title_full_unstemmed | Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer |
| title_short | Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer |
| title_sort | identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer |
| topic | Gastric cancer Extracellular matrix Weighted gene co-expression network analysis Prognosis Immunotherapy |
| url | https://doi.org/10.1038/s41598-025-88376-8 |
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