A nomogram based on collagen signature for predicting the immunoscore in colorectal cancer

作者：Wei Jiang, Xian Yu, Xiaoyu Dong, Chenyan Long, Dexin Chen, Jiaxin Cheng, Botao Yan, Shuoyu Xu, Zexi Lin, Gang Chen, Shuangmu Zhuo, Jun Yan · 发表于：Frontiers in Immunology · 年份：2023 · DOI：10.3389/fimmu.2023.1269700 · 被引用次数：11 · 研究领域：Cancer Immunotherapy and Biomarkers、Colorectal Cancer Surgical Treatments、Colorectal Cancer Treatments and Studies

Objectives: The Immunoscore can categorize patients into high- and low-risk groups for prognostication in colorectal cancer (CRC). Collagen plays an important role in immunomodulatory functions in the tumor microenvironment (TME). However, the correlation between collagen and the Immunoscore in the TME is unclear. This study aimed to construct a collagen signature to illuminate the relationship between collagen structure and Immunoscore. Methods: A total of 327 consecutive patients with stage I-III stage CRC were included in a training cohort. The fully quantitative collagen features were extracted at the tumor center and invasive margin of the specimens using multiphoton imaging. LASSO regression was applied to construct the collagen signature. The association of the collagen signature with Immunoscore was assessed. A collagen nomogram was developed by incorporating the collagen signature and clinicopathological predictors after multivariable logistic regression. The performance of the collagen nomogram was evaluated via calibration, discrimination, and clinical usefulness and then tested in an independent validation cohort. The prognostic values of the collagen nomogram were assessed using Cox regression and the Kaplan-Meier method. Results: <0.001). A collagen nomogram integrating the collagen signature and clinicopathological predictors was developed. The collagen nomogram yielded satisfactory discrimination and calibration, with an AUC of 0.925 (95% CI: 0.895-0.956) in t...