Evidence map›Paper›PMID 41036616›Full record

ArticleCancer medicine2025

Extracellular Volume Fraction Combined With Pathological Features of α-SMA and FAP for Predicting the Prognosis of Patients With Pancreatic Ductal Adenocarcinoma After Surgery and Evaluating the Efficacy of Chemotherapy.

Liqiang Liu, Sicheng Xu, Pengbiao Miao, Xing He, Yaorong Peng, Qixian Zhou, Junkai Ren, Zhenyu Zhou, Huilin Ye, Wenbin Li

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Liqiang LiuDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.ORCID https://orcid.org/0009-0002-9997-8182
Sicheng XuDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Pengbiao MiaoDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Xing HeDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Yaorong PengDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Qixian ZhouDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Junkai RenDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Zhenyu ZhouGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Huilin YeDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.
Wenbin LiDepartment of Biliary and Pancreatic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, P.R. China.

Funding

Guangdong Provincial Department of Science and Technology 2020A1515011296Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong Higher Education Institutes, Sun Yat-sen University KLB09001Key Laboratory of Malignant Tumor Molecular Mechanism and Translational Medicine of Guangzhou Bureau of Science and Information Technology [2013] 163National Natural Science Foundation of China 81971463National Natural Science Foundation of China 82003073
6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the extracellular matrix of pancreatic ductal adenocarcinoma (PDAC) using the extracellular volume fraction (fECV) derived from enhanced CT images, integrating fECV with α-SMA-positive cancer-associated fibroblasts (CAFs) and FAP-positive CAFs to investigate their relationship with clinicopathological characteristics and prognosis of patients with PDAC.

methodsA retrospective analysis of 124 patients who underwent surgical resection for PDAC was conducted. Immunohistochemistry was applied to determine the expression of α-SMA and FAP. fECV was calculated by attenuation values of PDAC and aorta. The Kaplan-Meier method was used to plot the postoperative overall survival (OS) and disease-free survival (DFS) curves. A Cox proportional hazards regression model was used to develop a predictive model.

resultsHigh α-SMA (OS: p < 0.001; DFS: p = 0.065) and FAP (OS: p < 0.001; DFS: p < 0.001) expressions and low fECV (OS: p < 0.001; DFS: p < 0.001) predict poor prognosis. Patients with co-high expression of α-SMA and FAP had worse OS and DFS. Multivariable analysis identified α-SMA (OS: hazard ratio [HR], 2.34 [95% CI, 1.30-4.21], p = 0.005), FAP (OS: HR, 4.43 [95% CI, 2.72-7.19], p < 0.001), and fECV (OS: HR, 0.58 [95% CI, 0.37-0.90], p = 0.015) as independent predictors of prognosis. The predictive model established by combining fECV with α-SMA and FAP in this study cohort demonstrated the best predictive value.

conclusionsThe integration of fECV with α-SMA and FAP expressions offers a robust method for predicting clinical outcomes in PDAC patients, potentially guiding treatment strategies.

Indexed as

ActinsCarcinoma, Pancreatic DuctalGelatinasesMembrane ProteinsPancreatic NeoplasmsSerine EndopeptidasesAdultAgedBiomarkers, TumorCancer-Associated FibroblastsEndopeptidasesExtracellular MatrixFemaleFibroblast Activation Protein AlphaHumansMaleACTA2 protein, humanActinsBiomarkers, TumorEndopeptidasesFibroblast Activation Protein AlphaGelatinasesMembrane ProteinsSerine Endopeptidasescomputed tomographyextracellular volume fractionpancreatic ductal carcinomaprognosistumor microenvironment

Identifiers

PMID41036616
PMCPMC12489548

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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.