Shunnan Ge1, Yingwu Shi1, Gang Zhu1, Songlun Li2, Yaning Cai1, Peigang Ji1, Jinghui Liu1, Wei Guo1, Li Gong3, Miao Lou1, Fuqiang Feng4, Yuan Wang1, Yulong Zhai1, Yan Qu1, Liang Wang1. 1. Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China. 2. Medical Department of Tangdu Hospital, Fourth Military Medical University, Xi'an, China. 3. Department of Pathology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China. 4. Department of Neurosurgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Abstract
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.
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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Authors: Louis Burt Nabors; Jana Portnow; Mario Ammirati; Joachim Baehring; Henry Brem; Nicholas Butowski; Robert A Fenstermaker; Peter Forsyth; Jona Hattangadi-Gluth; Matthias Holdhoff; Steven Howard; Larry Junck; Thomas Kaley; Priya Kumthekar; Jay S Loeffler; Paul L Moots; Maciej M Mrugala; Seema Nagpal; Manjari Pandey; Ian Parney; Katherine Peters; Vinay K Puduvalli; John Ragsdale; Jason Rockhill; Lisa Rogers; Chad Rusthoven; Nicole Shonka; Dennis C Shrieve; Allen K Sills; Lode J Swinnen; Christina Tsien; Stephanie Weiss; Patrick Yung Wen; Nicole Willmarth; Mary Anne Bergman; Anita Engh Journal: J Natl Compr Canc Netw Date: 2017-11 Impact factor: 11.908