Cargando…

Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common malignancies globally with poor prognosis. Cancer-associated fibroblasts (CAFs) play multiple functions in the regulation of tumorigenesis, metastasis and therapeutic resistance of cancer. The current study aimed to explore the role of CAFs-re...

Descripción completa

Detalles Bibliográficos
Autores principales: Ye, Jianzhong, Tian, Wen, Zheng, Bigeng, Zeng, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637486/
https://www.ncbi.nlm.nih.gov/pubmed/37960718
http://dx.doi.org/10.1097/MD.0000000000035938
_version_ 1785146508595691520
author Ye, Jianzhong
Tian, Wen
Zheng, Bigeng
Zeng, Tao
author_facet Ye, Jianzhong
Tian, Wen
Zheng, Bigeng
Zeng, Tao
author_sort Ye, Jianzhong
collection PubMed
description Hepatocellular carcinoma (HCC) is one of the most common malignancies globally with poor prognosis. Cancer-associated fibroblasts (CAFs) play multiple functions in the regulation of tumorigenesis, metastasis and therapeutic resistance of cancer. The current study aimed to explore the role of CAFs-related genes in the prognosis and immunotherapy response in HCC. CAFs-related genes were identified by using single-cell RNA-sequencing analysis. Least absolute shrinkage and selection operator (LASSO) analysis was conducted to develop a CAFs-related prognostic signature (FRPS) in TCGA dataset and verified in ICGC, GSE14520 and GSE76427 cohorts. Several tools, including Tumor Immune Dysfunction and Exclusion (TIDE) score, immunophenoscore, and Tumor Mutation Burden (TMB) score were used to evaluate the value of FRPS in predicting immunotherapy benefits. The FRPS constructed based on 10 genes (RGS5, CNN3, PALLD, FLNA, KLHL23, MYC, NDRG2, SERPINE1, CD151 CALU) served as an independent risk factor and showed stable and powerful performance in predicting the overall survival rate of HCC patients with an AUCs of 0. 734, 0.727, and 0.717 in 2-, 3-, and 4-year ROC curve in TCGA cohort. Low risk score indicated a higher abundance of CD8(+) T cells and NK, and lower abundance of Treg. Moreover, HCC patients with low risk score had a higher PD1&CTLA4 immunophenoscore, higher TMB score, and lower TIDE score. Moreover, high risk score indicated a lower IC50 value of 5-fluorouracil, camptothecin, cisplatin, docetaxel, gemcitabine, paclitaxel, afatinib, crizotinib, dasatinib, erlotinib, erlotinib, gefitinib, lapatinib, and osimertinib in HCC. Our study develops a novel FRPS HCC. The FRPS acts as a risk factor for the prognosis of HCC patients and it can predict the immunotherapy benefits of HCC patients.
format Online
Article
Text
id pubmed-10637486
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-106374862023-11-15 Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma Ye, Jianzhong Tian, Wen Zheng, Bigeng Zeng, Tao Medicine (Baltimore) 5700 Hepatocellular carcinoma (HCC) is one of the most common malignancies globally with poor prognosis. Cancer-associated fibroblasts (CAFs) play multiple functions in the regulation of tumorigenesis, metastasis and therapeutic resistance of cancer. The current study aimed to explore the role of CAFs-related genes in the prognosis and immunotherapy response in HCC. CAFs-related genes were identified by using single-cell RNA-sequencing analysis. Least absolute shrinkage and selection operator (LASSO) analysis was conducted to develop a CAFs-related prognostic signature (FRPS) in TCGA dataset and verified in ICGC, GSE14520 and GSE76427 cohorts. Several tools, including Tumor Immune Dysfunction and Exclusion (TIDE) score, immunophenoscore, and Tumor Mutation Burden (TMB) score were used to evaluate the value of FRPS in predicting immunotherapy benefits. The FRPS constructed based on 10 genes (RGS5, CNN3, PALLD, FLNA, KLHL23, MYC, NDRG2, SERPINE1, CD151 CALU) served as an independent risk factor and showed stable and powerful performance in predicting the overall survival rate of HCC patients with an AUCs of 0. 734, 0.727, and 0.717 in 2-, 3-, and 4-year ROC curve in TCGA cohort. Low risk score indicated a higher abundance of CD8(+) T cells and NK, and lower abundance of Treg. Moreover, HCC patients with low risk score had a higher PD1&CTLA4 immunophenoscore, higher TMB score, and lower TIDE score. Moreover, high risk score indicated a lower IC50 value of 5-fluorouracil, camptothecin, cisplatin, docetaxel, gemcitabine, paclitaxel, afatinib, crizotinib, dasatinib, erlotinib, erlotinib, gefitinib, lapatinib, and osimertinib in HCC. Our study develops a novel FRPS HCC. The FRPS acts as a risk factor for the prognosis of HCC patients and it can predict the immunotherapy benefits of HCC patients. Lippincott Williams & Wilkins 2023-11-10 /pmc/articles/PMC10637486/ /pubmed/37960718 http://dx.doi.org/10.1097/MD.0000000000035938 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 5700
Ye, Jianzhong
Tian, Wen
Zheng, Bigeng
Zeng, Tao
Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
title Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
title_full Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
title_fullStr Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
title_full_unstemmed Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
title_short Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
title_sort identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637486/
https://www.ncbi.nlm.nih.gov/pubmed/37960718
http://dx.doi.org/10.1097/MD.0000000000035938
work_keys_str_mv AT yejianzhong identificationofcancerassociatedfibroblastssignatureforpredictingtheprognosisandimmunotherapyresponseinhepatocellularcarcinoma
AT tianwen identificationofcancerassociatedfibroblastssignatureforpredictingtheprognosisandimmunotherapyresponseinhepatocellularcarcinoma
AT zhengbigeng identificationofcancerassociatedfibroblastssignatureforpredictingtheprognosisandimmunotherapyresponseinhepatocellularcarcinoma
AT zengtao identificationofcancerassociatedfibroblastssignatureforpredictingtheprognosisandimmunotherapyresponseinhepatocellularcarcinoma