S. A. Jin
Chonnam National University
10 Papers
7 Citations
S. A. Jin is an academic researcher from Chonnam National University. The author has contributed to research in topics: Glioma & Medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Histological and molecular glioblastoma, IDH-wildtype: a real-world landscape using the 2021 WHO classification of central nervous system tumors
Xiaopeng Guo,Lingui Gu,Yilin Li,Zhiyao Zheng,Wenlin Chen,Hao Xing,Yixin Shi,Delin Liu,Tianrui Yang,Yu Xia,Junlin Li,Jiaming Wu,Kun Zhang,Tingyu Liang,Hai Wang,Qianshuo Liu,S. A. Jin,T. Qu,Siying Guo,Huanzhang Li,Wenbin Ma +20 more
TL;DR: In this paper , the clinical, radiological, molecular, and survival features of Glioblastoma (GBM) under the current classification scheme and explore survival determinants were investigated.
Clinical updates on gliomas and implications of the 5th edition of the WHO classification of central nervous system tumors
Xiaopeng Guo,Yixin Shi,Delin Liu,Yilin Li,Wenlin Chen,Yaning Wang,Yuekun Wang,Hao Xing,Yu Xia,Junlin Li,Jiaming Wu,Tingyu Liang,Hai Feng Wang,Qianshuo Liu,S. A. Jin,T. Qu,Siying Guo,Huanzhang Li,Tianrui Yang,Kun Zhang,Yu Wang,Wenbin Ma +21 more
TL;DR: The 5th edition of the World Health Organization (WHO) classification of central nervous system tumors incorporated specific molecular alterations into the categorization of gliomas and the major revision of the classification scheme effectuates significant changes in the diagnosis and management of Glioma as mentioned in this paper .
Expression of soluble adenylyl cyclase in acral melanomas
TL;DR: Wang et al. as mentioned in this paper investigated the histopathological significance of sAC expression in 33 cases of acral melanoma, and assessed its diagnostic value in distinguishing melanoma in situ (MIS, n = 17) from acral invasive melanomas (n = 16) and melanocytic naevi (n= 11).
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An online survival predictor in glioma patients using machine learning based on WHO CNS5 data
Liguo Ye,Lingui Gu,Zhiyao Zheng,Xin Zhang,Hao Xing,Xiaopeng Guo,Wenlin Chen,Yaning Wang,Yuekun Wang,Tingyu Liang,Hai Wang,Yilin Li,S. A. Jin,Yixin Shi,Delin Liu,Tianrui Yang,Qianshuo Liu,Congcong Deng,Yu Wang,Wenbin Ma +19 more
TL;DR: Wang et al. as mentioned in this paper designed a WHO CNS5-related risk signature to predict the overall survival (OS) rate of glioma patients using machine learning algorithms, which can increase the precision of forecast therapy outcomes and assess prognosis.
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Novel insight into histological and molecular astrocytoma, IDH-mutant, Grade 4 by the updated WHO classification of central nervous system tumors.
Wenlin Chen,Siying Guo,Yaning Wang,Yixin Shi,Xiaopeng Guo,De-ping Liu,Yilin Li,Yuekun Wang,Hao Xing,Yu Xia,Junlin Li,Jiaming Wu,Tingyu Liang,Hai Wang,Qianshuo Liu,S. A. Jin,T. Qu,Huan-Huan Li,Tianrui Yang,Kun Zhang,Yu Wang,Wenbin Ma +21 more
TL;DR: The features of astrocytoma, IDH‐mutant, Grade 4 are described and the similarities and differences between histological and molecular subtypes are explored.
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