Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy

Background: Globally, hepatocellular carcinoma (HCC) is the sixth most frequent malignancy with a high incidence and a poor prognosis. Immune cell infiltration (ICI) underlies both the carcinogenesis and immunogenicity of tumors. However, a comprehensive classification system based on the immune fea...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shiyan Yang, Yajun Cheng, Xiaolong Wang, Ping Wei, Hui Wang, Shanzhong Tan
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	carcinoma immune cell infiltration landscape immunotherapy ICI scores prognosis Genetics QH426-470
Acceso en línea:	https://doaj.org/article/ac56ca2cf3ab4513a3410e9c20bea377
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ac56ca2cf3ab4513a3410e9c20bea377
record_format	dspace
spelling	oai:doaj.org-article:ac56ca2cf3ab4513a3410e9c20bea3772021-11-30T20:48:01ZIdentification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy1664-802110.3389/fgene.2021.777931https://doaj.org/article/ac56ca2cf3ab4513a3410e9c20bea3772021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.777931/fullhttps://doaj.org/toc/1664-8021Background: Globally, hepatocellular carcinoma (HCC) is the sixth most frequent malignancy with a high incidence and a poor prognosis. Immune cell infiltration (ICI) underlies both the carcinogenesis and immunogenicity of tumors. However, a comprehensive classification system based on the immune features for HCC remains unknown.Methods: The HCC dataset from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts was used in this study. The ICI patterns of 571 patients were characterized using two algorithms: the patterns were determined based on the ICI using the ConsensusClusterPlus package, and principal component analysis (PCA) established the ICI scores. Differences in the immune landscape, biological function, and somatic mutations across ICI scores were evaluated and compared, followed by a predictive efficacy evaluation of ICI scores for immunotherapy by the two algorithms and validation using an external immunotherapy cohort.Results: Based on the ICI profile of the HCC patients, three ICI patterns were identified, including three subtypes having different immunological features. Individual ICI scores were determined; the high ICI score subtype was characterized by enhanced activation of immune-related signaling pathways and a significantly high tumor mutation burden (TMB); concomitantly, diminished immunocompetence and enrichment of pathways associated with cell cycle and RNA degradation were found in the low ICI score subtype. Taken together, our results contribute to a better understanding of an active tumor and plausible reasons for its poor prognosis.Conclusion: The present study reveals that ICI scores may serve as valid prognostic biomarkers for immunotherapy in HCC.Shiyan YangShiyan YangYajun ChengXiaolong WangPing WeiHui WangShanzhong TanFrontiers Media S.A.articlecarcinomaimmune cell infiltration landscapeimmunotherapyICI scoresprognosisGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	carcinoma immune cell infiltration landscape immunotherapy ICI scores prognosis Genetics QH426-470
spellingShingle	carcinoma immune cell infiltration landscape immunotherapy ICI scores prognosis Genetics QH426-470 Shiyan Yang Shiyan Yang Yajun Cheng Xiaolong Wang Ping Wei Hui Wang Shanzhong Tan Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy
description	Background: Globally, hepatocellular carcinoma (HCC) is the sixth most frequent malignancy with a high incidence and a poor prognosis. Immune cell infiltration (ICI) underlies both the carcinogenesis and immunogenicity of tumors. However, a comprehensive classification system based on the immune features for HCC remains unknown.Methods: The HCC dataset from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts was used in this study. The ICI patterns of 571 patients were characterized using two algorithms: the patterns were determined based on the ICI using the ConsensusClusterPlus package, and principal component analysis (PCA) established the ICI scores. Differences in the immune landscape, biological function, and somatic mutations across ICI scores were evaluated and compared, followed by a predictive efficacy evaluation of ICI scores for immunotherapy by the two algorithms and validation using an external immunotherapy cohort.Results: Based on the ICI profile of the HCC patients, three ICI patterns were identified, including three subtypes having different immunological features. Individual ICI scores were determined; the high ICI score subtype was characterized by enhanced activation of immune-related signaling pathways and a significantly high tumor mutation burden (TMB); concomitantly, diminished immunocompetence and enrichment of pathways associated with cell cycle and RNA degradation were found in the low ICI score subtype. Taken together, our results contribute to a better understanding of an active tumor and plausible reasons for its poor prognosis.Conclusion: The present study reveals that ICI scores may serve as valid prognostic biomarkers for immunotherapy in HCC.
format	article
author	Shiyan Yang Shiyan Yang Yajun Cheng Xiaolong Wang Ping Wei Hui Wang Shanzhong Tan
author_facet	Shiyan Yang Shiyan Yang Yajun Cheng Xiaolong Wang Ping Wei Hui Wang Shanzhong Tan
author_sort	Shiyan Yang
title	Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy
title_short	Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy
title_full	Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy
title_fullStr	Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy
title_full_unstemmed	Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy
title_sort	identification of the immune cell infiltration landscape in hepatocellular carcinoma to predict prognosis and guide immunotherapy
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/ac56ca2cf3ab4513a3410e9c20bea377
work_keys_str_mv	AT shiyanyang identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy AT shiyanyang identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy AT yajuncheng identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy AT xiaolongwang identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy AT pingwei identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy AT huiwang identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy AT shanzhongtan identificationoftheimmunecellinfiltrationlandscapeinhepatocellularcarcinomatopredictprognosisandguideimmunotherapy
_version_	1718406284025266176

Identification of the Immune Cell Infiltration Landscape in Hepatocellular Carcinoma to Predict Prognosis and Guide Immunotherapy

Ejemplares similares