间质细胞
结直肠癌
生物标志物
免疫组织化学
癌症
背景(考古学)
细胞外基质
医学
肿瘤科
内科学
癌相关成纤维细胞
组织微阵列
癌症研究
肿瘤微环境
病理
生物
细胞生物学
古生物学
生物化学
作者
Sofía Torres,Irene García‐Palmero,Mercedes Herrera,Rubén A. Bartolomé,Cristina Peña,María Jesús Fernández‐Aceñero,Guillermo Padilla,Alberto Peláez‐García,María López-Lucendo,Rufo Rodríguez-Merlo,Antonio Garcı́a de Herreros,Félix Bonilla,J. Ignacio Casal
标识
DOI:10.1158/1078-0432.ccr-14-3096
摘要
Abstract Purpose: Cancer-associated fibroblasts (CAF) are major mediators in tumor microenvironment. We investigated the changes in protein expression in colon cancer–associated fibroblasts compared with normal fibroblasts (NF) in the context of searching for prognostic biomarkers, particularly for stage II patients. Experimental Design: CAFs and NFs isolated from colon cancer patients were used to identify differentially expressed proteins using quantitative proteomics. Stromal expression of deregulated proteins was analyzed by IHC. Prognostic impact was studied using external gene-expression datasets for training, then quantitative PCR and IHC for validation in different cohorts of patients. Combined datasets were used for prediction of risk assessment at stages II and III. Results: A desmoplastic signature composed of 32 proteins, highly specific for stromal components in colon cancer, was identified. These proteins were enriched for extracellular matrix organization components, TGFβ signaling pathway, fibrosis, and wound-healing proteins. The expression in CAFs of 11 upregulated proteins and four downregulated proteins, selected for biomarker validation, was verified by orthogonal techniques. LOXL2 displayed a high prognostic impact by using external independent datasets and further validation in two different cohorts of patients. High expression of LOXL2 was associated with higher recurrence P = 0.001 HR, 5.38 [95% confidence interval (CI), 1.70–17.01] and overall survival P = 0.001 HR, 8.52 (95% CI, 1.90–38.29). IHC analysis revealed a prognostic value for LOXL2 in stage II patients. Conclusions: We identified LOXL2 to be associated with the outcome of colon cancer patients. Furthermore, it can be used to stratify patients at stages II and III for further therapeutic decisions. Clin Cancer Res; 21(21); 4892–902. ©2015 AACR.
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