The prognostic model and immune landscape based on cancer-associated fibroblast features for patients with locally advanced rectal cancer

The prognostic model and immune landscape based on cancer-associated fibroblast features for patients with locally advanced rectal cancer

Background: This study aimed to construct a nomogram based on CAF features to predict the cancer-specific survival (CSS) rates of locally advanced rectal cancer (LARC) patients. Methods: The EPIC algorithm was employed to calculate the proportion of CAFs. based on the differentially expressed genes...

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Bibliographic Details
Main Authors:	Huajun Cai, Yijuan Lin, Yong Wu, Ye Wang, Shoufeng Li, Yiyi Zhang, Jinfu Zhuang, Xing Liu, Guoxian Guan
Format:	Article
Language:	English
Published:	Elsevier 2024-04-01
Series:	Heliyon
Subjects:	Cancer-associated fibroblasts Locally advanced rectal cancer Prognostic risk signature Nomogram Immune landscape
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024047042

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