Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jieqian He"'
Autor:
Lizhu Chen, Enchong Zhang, Johnny Guan, Zhengjie Chen, Jianfeng Ye, Wangmin Liu, Jieqian He, Bo Yin, Yongsheng Song, Mo Zhang
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundProstate cancer (PCa) is characterized by significant heterogeneity. Thus, novel prognostic indicators are required to improve prognosis and treatment.MethodsCysteine rich secretory protein 3 (CRISP3) and serine peptidase inhibitor Kazal ty
Externí odkaz:
https://doaj.org/article/75754d372ce147229a8da10c4d86397d
Autor:
Enchong Zhang, Fujisawa Shiori, Mo Zhang, Peng Wang, Jieqian He, Yuntian Ge, Yongsheng Song, Liping Shan
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Prostate cancer (PCa) is the most common malignancy among men worldwide. However, its complex heterogeneity makes treatment challenging. In this study, we aimed to identify PCa subtypes and a gene signature associated with PCa prognosis. In particula
Externí odkaz:
https://doaj.org/article/2f9470af5ab04ba1b491f75eb6d9b3fd
Autor:
Enchong Zhang, Fujisawa Shiori, Oscar YongNan Mu, Jieqian He, Yuntian Ge, Hongliang Wu, Mo Zhang, Yongsheng Song
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Prostate cancer (PCa) is the most common malignant tumor affecting males worldwide. The substantial heterogeneity in PCa presents a major challenge with respect to molecular analyses, patient stratification, and treatment. Least absolute shrinkage an
Externí odkaz:
https://doaj.org/article/aa9c4de84caa4b1089f7ea22253988dd
Immune-Related Gene-Based Novel Subtypes to Establish a Model Predicting the Risk of Prostate Cancer
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
BackgroundThere is significant heterogeneity in prostate cancer (PCa), but immune status can reflect its prognosis. This study aimed to explore immune-related gene-based novel subtypes and to use them to create a model predicting the risk of PCa.Meth
Externí odkaz:
https://doaj.org/article/ef907846ad3044eead936a47d8f7b7b0
Autor:
Fujisawa Shiori, Mo Zhang, Yuntian Ge, Jieqian He, Peng Wang, Enchong Zhang, Liping Shan, Yongsheng Song
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Frontiers in Molecular Biosciences
Frontiers in Molecular Biosciences
Prostate cancer (PCa) is the most common malignancy among men worldwide. However, its complex heterogeneity makes treatment challenging. In this study, we aimed to identify PCa subtypes and a gene signature associated with PCa prognosis. In particula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f8f2bbf77d84792bb0d746d7a5fbba5
https://www.frontiersin.org/articles/10.3389/fmolb.2021.676138/full
https://www.frontiersin.org/articles/10.3389/fmolb.2021.676138/full
Autor:
Fujisawa Shiori, Enchong Zhang, Mo Zhang, Oscar Yong Nan Mu, Jieqian He, Yongsheng Song, Hongliang Wu, Yuntian Ge
Publikováno v:
Frontiers in Cell and Developmental Biology
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Prostate cancer (PCa) is the most common malignant tumor affecting males worldwide. The substantial heterogeneity in PCa presents a major challenge with respect to molecular analyses, patient stratification, and treatment. Least absolute shrinkage an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9e06d1128dd94fdee77409e801e2fb9
https://doi.org/10.3389/fcell.2021.639615
https://doi.org/10.3389/fcell.2021.639615
Immune-Related Gene-Based Novel Subtypes to Establish a Model Predicting the Risk of Prostate Cancer
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Frontiers in Genetics
Frontiers in Genetics
Background There is significant heterogeneity in prostate cancer (PCa), but immune status can reflect its prognosis. This study aimed to explore immune-related gene-based novel subtypes and to use them to create a model predicting the risk of PCa. Me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe91e313c7517234ddc1d03198fc9df
https://www.frontiersin.org/articles/10.3389/fgene.2020.595657/full
https://www.frontiersin.org/articles/10.3389/fgene.2020.595657/full