Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer

Pancreatic cancer is associated with a high mortality rate, and the prognosis is positively related to immune status. In this study, we constructed a prognostic signature from survival- and immune-related genes (IRGs) to guide treatment and assess prognosis of patients with pancreatic cancer. The tr...

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Autores principales:	Wenbo Zou, Lincheng Li, Zizheng Wang, Nan Jiang, Fei Wang, Minggen Hu, Rong Liu
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	pancreatic cancer immune-related gene prognosis immune cell infiltration tumor mutation burden Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/8e14302ce445468abdc089f99d13b95a
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spelling	oai:doaj.org-article:8e14302ce445468abdc089f99d13b95a2021-11-04T15:51:54ZUp-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer2165-59792165-598710.1080/21655979.2021.1992331https://doaj.org/article/8e14302ce445468abdc089f99d13b95a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1992331https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Pancreatic cancer is associated with a high mortality rate, and the prognosis is positively related to immune status. In this study, we constructed a prognostic signature from survival- and immune-related genes (IRGs) to guide treatment and assess prognosis of patients with pancreatic cancer. The transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) database, and IRGs were extracted from the ImmPort database. Univariate and LASSO regression analysis were used to obtain survival-related IRGs. Finally, the prognostic signature was constructed using multivariate regression analysis. The laboratory experiments were conducted to verify the key IRG expression. Immune cells infiltration was analyzed using the CIBERSORT algorithm and TIMER database. Prognostic signature containing four IRGs (ADA2, TLR1, PTPN6, S100P) was constructed with good predictive performance; in particular, S100P played a significant role in the immune microenvironment, and tumorigenesis of pancreatic cancer. Moreover, we found that CD8+ T cell and activated CD4+ memory T cell tumor infiltration was lower in the high-risk group, while high-risk score correlated positively with higher tumor mutational burden, and the higher half inhibitory centration 50 of chemotherapeutic agents Docetaxel and Sunitinib. In summary, this study identified and constructed an immune-related prognostic signature that can predict overall survival, besides suggests that S100P was a novel immune-related biomarker. We hope that this signature will aid the identification of new biomarkers for the individualized immunotherapy of pancreatic cancer.Wenbo ZouLincheng LiZizheng WangNan JiangFei WangMinggen HuRong LiuTaylor & Francis Grouparticlepancreatic cancerimmune-related geneprognosisimmune cell infiltrationtumor mutation burdenBiotechnologyTP248.13-248.65ENBioengineered, Vol 12, Iss 1, Pp 9006-9020 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pancreatic cancer immune-related gene prognosis immune cell infiltration tumor mutation burden Biotechnology TP248.13-248.65
spellingShingle	pancreatic cancer immune-related gene prognosis immune cell infiltration tumor mutation burden Biotechnology TP248.13-248.65 Wenbo Zou Lincheng Li Zizheng Wang Nan Jiang Fei Wang Minggen Hu Rong Liu Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
description	Pancreatic cancer is associated with a high mortality rate, and the prognosis is positively related to immune status. In this study, we constructed a prognostic signature from survival- and immune-related genes (IRGs) to guide treatment and assess prognosis of patients with pancreatic cancer. The transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) database, and IRGs were extracted from the ImmPort database. Univariate and LASSO regression analysis were used to obtain survival-related IRGs. Finally, the prognostic signature was constructed using multivariate regression analysis. The laboratory experiments were conducted to verify the key IRG expression. Immune cells infiltration was analyzed using the CIBERSORT algorithm and TIMER database. Prognostic signature containing four IRGs (ADA2, TLR1, PTPN6, S100P) was constructed with good predictive performance; in particular, S100P played a significant role in the immune microenvironment, and tumorigenesis of pancreatic cancer. Moreover, we found that CD8+ T cell and activated CD4+ memory T cell tumor infiltration was lower in the high-risk group, while high-risk score correlated positively with higher tumor mutational burden, and the higher half inhibitory centration 50 of chemotherapeutic agents Docetaxel and Sunitinib. In summary, this study identified and constructed an immune-related prognostic signature that can predict overall survival, besides suggests that S100P was a novel immune-related biomarker. We hope that this signature will aid the identification of new biomarkers for the individualized immunotherapy of pancreatic cancer.
format	article
author	Wenbo Zou Lincheng Li Zizheng Wang Nan Jiang Fei Wang Minggen Hu Rong Liu
author_facet	Wenbo Zou Lincheng Li Zizheng Wang Nan Jiang Fei Wang Minggen Hu Rong Liu
author_sort	Wenbo Zou
title	Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
title_short	Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
title_full	Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
title_fullStr	Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
title_full_unstemmed	Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
title_sort	up-regulation of s100p predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/8e14302ce445468abdc089f99d13b95a
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Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer

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