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ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors

Recurrence and progression to higher grade lesions are key biological events and characteristic behaviors in the evolution process of glioma. Malignant astrocytic tumors such as glioblastoma (GBM) are the most lethal intracranial tumors. However, the clinical practicability and significance of molec...

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Autores principales: Cai, Jinquan, Zhang, Chuanbao, Zhang, Wei, Wang, Guangzhi, Yao, Kun, Wang, Zhiliang, Li, Guanzhang, Qian, Zenghui, Li, Yongli, Jiang, Tao, Jiang, Chuanlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043074/
https://www.ncbi.nlm.nih.gov/pubmed/27713914
http://dx.doi.org/10.18632/oncoscience.317
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author Cai, Jinquan
Zhang, Chuanbao
Zhang, Wei
Wang, Guangzhi
Yao, Kun
Wang, Zhiliang
Li, Guanzhang
Qian, Zenghui
Li, Yongli
Jiang, Tao
Jiang, Chuanlu
author_facet Cai, Jinquan
Zhang, Chuanbao
Zhang, Wei
Wang, Guangzhi
Yao, Kun
Wang, Zhiliang
Li, Guanzhang
Qian, Zenghui
Li, Yongli
Jiang, Tao
Jiang, Chuanlu
author_sort Cai, Jinquan
collection PubMed
description Recurrence and progression to higher grade lesions are key biological events and characteristic behaviors in the evolution process of glioma. Malignant astrocytic tumors such as glioblastoma (GBM) are the most lethal intracranial tumors. However, the clinical practicability and significance of molecular parameters for the diagnostic and prognostic prediction of astrocytic tumors is still limited. In this study, we detected ATRX, IDH1-R132H and Ki-67 by immunohistochemistry and observed the association of IDH1-R132H with ATRX and Ki-67 expression. There was a strong association between ATRX loss and IDH1-R132H (p<0.0001). However, Ki-67 high expression restricted in the tumors with IDH1-R132H negative (p=0.0129). Patients with IDH1-R132H positive or ATRX loss astrocytic tumors had a longer progressive- free survival (p<0.0001, p=0.0044, respectively). High Ki-67 expression was associated with shorter PFS in patients with astrocytic tumors (p=0.002). Then we characterized three prognostic subgroups of astrocytic tumors (referred to as A1, A2 and A3). The new model demonstrated a remarkable separation of the progression interval in the three molecular subgroups and the distribution of patients’ age in the A1-A2-A3 model was also significant different. This model will aid predicting the overall survival and progressive time of astrocytic tumors’ patients.
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spelling pubmed-50430742016-10-06 ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors Cai, Jinquan Zhang, Chuanbao Zhang, Wei Wang, Guangzhi Yao, Kun Wang, Zhiliang Li, Guanzhang Qian, Zenghui Li, Yongli Jiang, Tao Jiang, Chuanlu Oncoscience Research Paper Recurrence and progression to higher grade lesions are key biological events and characteristic behaviors in the evolution process of glioma. Malignant astrocytic tumors such as glioblastoma (GBM) are the most lethal intracranial tumors. However, the clinical practicability and significance of molecular parameters for the diagnostic and prognostic prediction of astrocytic tumors is still limited. In this study, we detected ATRX, IDH1-R132H and Ki-67 by immunohistochemistry and observed the association of IDH1-R132H with ATRX and Ki-67 expression. There was a strong association between ATRX loss and IDH1-R132H (p<0.0001). However, Ki-67 high expression restricted in the tumors with IDH1-R132H negative (p=0.0129). Patients with IDH1-R132H positive or ATRX loss astrocytic tumors had a longer progressive- free survival (p<0.0001, p=0.0044, respectively). High Ki-67 expression was associated with shorter PFS in patients with astrocytic tumors (p=0.002). Then we characterized three prognostic subgroups of astrocytic tumors (referred to as A1, A2 and A3). The new model demonstrated a remarkable separation of the progression interval in the three molecular subgroups and the distribution of patients’ age in the A1-A2-A3 model was also significant different. This model will aid predicting the overall survival and progressive time of astrocytic tumors’ patients. Impact Journals LLC 2016-09-06 /pmc/articles/PMC5043074/ /pubmed/27713914 http://dx.doi.org/10.18632/oncoscience.317 Text en Copyright: © 2016 Cai et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Cai, Jinquan
Zhang, Chuanbao
Zhang, Wei
Wang, Guangzhi
Yao, Kun
Wang, Zhiliang
Li, Guanzhang
Qian, Zenghui
Li, Yongli
Jiang, Tao
Jiang, Chuanlu
ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
title ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
title_full ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
title_fullStr ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
title_full_unstemmed ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
title_short ATRX, IDH1-R132H and Ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
title_sort atrx, idh1-r132h and ki-67 immunohistochemistry as a classification scheme for astrocytic tumors
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5043074/
https://www.ncbi.nlm.nih.gov/pubmed/27713914
http://dx.doi.org/10.18632/oncoscience.317
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