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Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma

PURPOSE: Glioma is one of the most common tumors of the central nervous system, and many patients suffer from recurrence even after standard comprehensive treatment. However, little is known about the molecular markers that predict the recurrence patterns of glioma. This study aimed to demonstrate t...

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Autores principales: Ge, Shunnan, Shi, Yingwu, Zhu, Gang, Li, Songlun, Cai, Yaning, Ji, Peigang, Liu, Jinghui, Guo, Wei, Gong, Li, Lou, Miao, Feng, Fuqiang, Wang, Yuan, Zhai, Yulong, Qu, Yan, Wang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873968/
https://www.ncbi.nlm.nih.gov/pubmed/33585189
http://dx.doi.org/10.3389/fonc.2020.565045
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author Ge, Shunnan
Shi, Yingwu
Zhu, Gang
Li, Songlun
Cai, Yaning
Ji, Peigang
Liu, Jinghui
Guo, Wei
Gong, Li
Lou, Miao
Feng, Fuqiang
Wang, Yuan
Zhai, Yulong
Qu, Yan
Wang, Liang
author_facet Ge, Shunnan
Shi, Yingwu
Zhu, Gang
Li, Songlun
Cai, Yaning
Ji, Peigang
Liu, Jinghui
Guo, Wei
Gong, Li
Lou, Miao
Feng, Fuqiang
Wang, Yuan
Zhai, Yulong
Qu, Yan
Wang, Liang
author_sort Ge, Shunnan
collection PubMed
description PURPOSE: Glioma is one of the most common tumors of the central nervous system, and many patients suffer from recurrence even after standard comprehensive treatment. However, little is known about the molecular markers that predict the recurrence patterns of glioma. This study aimed to demonstrate the correlations between molecular markers and glioma recurrence patterns, which included local/nonlocal recurrence and paraventricular/nonparaventricular recurrence. METHODS: Immunohistochemical techniques were used to assess the molecular markers of 88 glioma tissues following surgical resection. The recurrence patterns were divided into local recurrence, marginal recurrence, distant recurrence, multirecurrence, and subarachniod recurrence, with the last four recurrence patterns being collectively called nonlocal recurrence. According to whether the recurrence invaded ventricles, the nonlocal recurrence patterns were divided into paraventricular and nonparaventricular recurrence. Then, we compared the different recurrence patterns and their clinical characteristics, focusing on the expression of molecular markers. RESULTS: More patients in the nonlocal recurrence group received combined radiotherapy and chemotherapy than patients in the local recurrence group (p=0.019). Sex, age, extent of surgery, time to recurrence, tumor location, size, and WHO grade were not different in the defined groups (P>0.05). Recurrent tumor volume and WHO grade were significantly different between the paraventricular and nonparaventricular recurrence groups (p=0.046 and 0.033). The expression of Ki-67, P53, and PCNA in the nonlocal recurrence group was significantly higher than that in the local recurrence group (p=0.015, 0.009, and 0.037), while the expression of S-100 in the nonlocal recurrence group was significantly lower than that in the local recurrence group (p=0.015). Cox regression indicated hazard ratio (HR) for high expression level of PCNA associated with non-local recurrence was 3.43 (95% CI, 1.15, 10.24), and HR for high expression level of MGMT associated with paraventricular recurrence was 2.64 (95% CI, 1.15,6.08). CONCLUSIONS: Ki-67, P53, PCNA, and MGMT might be important clinical markers for nonlocal recurrence and paraventricular recurrence.
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spelling pubmed-78739682021-02-11 Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma Ge, Shunnan Shi, Yingwu Zhu, Gang Li, Songlun Cai, Yaning Ji, Peigang Liu, Jinghui Guo, Wei Gong, Li Lou, Miao Feng, Fuqiang Wang, Yuan Zhai, Yulong Qu, Yan Wang, Liang Front Oncol Oncology PURPOSE: Glioma is one of the most common tumors of the central nervous system, and many patients suffer from recurrence even after standard comprehensive treatment. However, little is known about the molecular markers that predict the recurrence patterns of glioma. This study aimed to demonstrate the correlations between molecular markers and glioma recurrence patterns, which included local/nonlocal recurrence and paraventricular/nonparaventricular recurrence. METHODS: Immunohistochemical techniques were used to assess the molecular markers of 88 glioma tissues following surgical resection. The recurrence patterns were divided into local recurrence, marginal recurrence, distant recurrence, multirecurrence, and subarachniod recurrence, with the last four recurrence patterns being collectively called nonlocal recurrence. According to whether the recurrence invaded ventricles, the nonlocal recurrence patterns were divided into paraventricular and nonparaventricular recurrence. Then, we compared the different recurrence patterns and their clinical characteristics, focusing on the expression of molecular markers. RESULTS: More patients in the nonlocal recurrence group received combined radiotherapy and chemotherapy than patients in the local recurrence group (p=0.019). Sex, age, extent of surgery, time to recurrence, tumor location, size, and WHO grade were not different in the defined groups (P>0.05). Recurrent tumor volume and WHO grade were significantly different between the paraventricular and nonparaventricular recurrence groups (p=0.046 and 0.033). The expression of Ki-67, P53, and PCNA in the nonlocal recurrence group was significantly higher than that in the local recurrence group (p=0.015, 0.009, and 0.037), while the expression of S-100 in the nonlocal recurrence group was significantly lower than that in the local recurrence group (p=0.015). Cox regression indicated hazard ratio (HR) for high expression level of PCNA associated with non-local recurrence was 3.43 (95% CI, 1.15, 10.24), and HR for high expression level of MGMT associated with paraventricular recurrence was 2.64 (95% CI, 1.15,6.08). CONCLUSIONS: Ki-67, P53, PCNA, and MGMT might be important clinical markers for nonlocal recurrence and paraventricular recurrence. Frontiers Media S.A. 2021-01-08 /pmc/articles/PMC7873968/ /pubmed/33585189 http://dx.doi.org/10.3389/fonc.2020.565045 Text en Copyright © 2021 Ge, Shi, Zhu, Li, Cai, Ji, Liu, Guo, Gong, Lou, Feng, Wang, Zhai, Qu and Wang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Ge, Shunnan
Shi, Yingwu
Zhu, Gang
Li, Songlun
Cai, Yaning
Ji, Peigang
Liu, Jinghui
Guo, Wei
Gong, Li
Lou, Miao
Feng, Fuqiang
Wang, Yuan
Zhai, Yulong
Qu, Yan
Wang, Liang
Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma
title Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma
title_full Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma
title_fullStr Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma
title_full_unstemmed Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma
title_short Molecular Pathological Markers Correlated With the Recurrence Patterns of Glioma
title_sort molecular pathological markers correlated with the recurrence patterns of glioma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873968/
https://www.ncbi.nlm.nih.gov/pubmed/33585189
http://dx.doi.org/10.3389/fonc.2020.565045
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