Risk Factors for Malignant Transformation of Low-Grade Glioma

The incidence, risk factors, and outcomes of low-grade glioma patients who undergo malignant transformation (MT) in the era of temozolomide are not well known. This study evaluates these factors in a large group of World Health Organization grade 2 glioma patients treated at a tertiary-care institut...

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Veröffentlicht in:International journal of radiation oncology, biology, physics biology, physics, 2018-03, Vol.100 (4), p.965-971
Hauptverfasser: Murphy, Erin S., Leyrer, Charles M., Parsons, Michael, Suh, John H., Chao, Samuel T., Yu, Jennifer S., Kotecha, Rupesh, Jia, Xuefei, Peereboom, David M., Prayson, Richard A., Stevens, Glen H.J., Barnett, Gene H., Vogelbaum, Michael A., Ahluwalia, Manmeet S.
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container_issue 4
container_start_page 965
container_title International journal of radiation oncology, biology, physics
container_volume 100
creator Murphy, Erin S.
Leyrer, Charles M.
Parsons, Michael
Suh, John H.
Chao, Samuel T.
Yu, Jennifer S.
Kotecha, Rupesh
Jia, Xuefei
Peereboom, David M.
Prayson, Richard A.
Stevens, Glen H.J.
Barnett, Gene H.
Vogelbaum, Michael A.
Ahluwalia, Manmeet S.
description The incidence, risk factors, and outcomes of low-grade glioma patients who undergo malignant transformation (MT) in the era of temozolomide are not well known. This study evaluates these factors in a large group of World Health Organization grade 2 glioma patients treated at a tertiary-care institution. Patient, tumor, and treatment factors were analyzed using an institutional review board–approved low-grade glioma database. Characteristics were compared using χ2 and Wilcoxon signed rank tests. Time to event was summarized using proportional hazards models. Univariate and multivariate survival analyses were performed. Of a total of 599 patients, 124 underwent MT; 76 (61.3%) had biopsy-proven MT. The MT incidence was 21%, and the median time to MT was 56.4 months. The 5- and 10-year progression-free survival rates were 30.6% ± 4.2% and 4.8% ± 1.9%, respectively, for MT patients and 60% ± 2.4% and 38% ± 2.7%, respectively, for non-MT patients. The 5- and 10-year overall survival rates were 75% ± 4.0% and 46% ± 5.0%, respectively, for MT patients and 87% ± 1.7% and 78% ± 2.3%, respectively, for non-MT patients. On multivariate analysis, older age (P = .001), male sex (P = .004), multiple tumor locations (P = .004), chemotherapy alone (P = .012), and extent of resection (P = .045) remained significant predictors of MT. MT affects survival. Risk factors include older age, male sex, multiple tumor locations, use of chemotherapy alone, and presence of residual disease. Our finding that initial interventions could affect the rate of MT is provocative, but these data should be validated using data from prospective trials. In addition to improving survival, future therapeutic efforts should focus on preventing MT.
doi_str_mv 10.1016/j.ijrobp.2017.12.258
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On multivariate analysis, older age (P = .001), male sex (P = .004), multiple tumor locations (P = .004), chemotherapy alone (P = .012), and extent of resection (P = .045) remained significant predictors of MT. MT affects survival. Risk factors include older age, male sex, multiple tumor locations, use of chemotherapy alone, and presence of residual disease. Our finding that initial interventions could affect the rate of MT is provocative, but these data should be validated using data from prospective trials. 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Leyrer, Charles M. ; Parsons, Michael ; Suh, John H. ; Chao, Samuel T. ; Yu, Jennifer S. ; Kotecha, Rupesh ; Jia, Xuefei ; Peereboom, David M. ; Prayson, Richard A. ; Stevens, Glen H.J. ; Barnett, Gene H. ; Vogelbaum, Michael A. ; Ahluwalia, Manmeet S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-f6fb4da281c9730a5e6e1905d1d669e78565c62f1aa0e7662c999312103fbdd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis of Variance</topic><topic>Antineoplastic Agents - adverse effects</topic><topic>Antineoplastic Agents - therapeutic use</topic><topic>Antineoplastic Agents, Alkylating - adverse effects</topic><topic>Brain Neoplasms - epidemiology</topic><topic>Brain Neoplasms - mortality</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain Neoplasms - therapy</topic><topic>Cell Transformation, Neoplastic - pathology</topic><topic>Chi-Square Distribution</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>EARTH PLANET</topic><topic>Female</topic><topic>Glioma - epidemiology</topic><topic>Glioma - mortality</topic><topic>Glioma - pathology</topic><topic>Glioma - therapy</topic><topic>GLIOMAS</topic><topic>Glycosides</topic><topic>HAZARDS</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infant</topic><topic>Lignans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>PATIENTS</topic><topic>Progression-Free Survival</topic><topic>RADIOLOGY AND NUCLEAR MEDICINE</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Statistics, Nonparametric</topic><topic>Temozolomide - adverse effects</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Murphy, Erin S.</creatorcontrib><creatorcontrib>Leyrer, Charles M.</creatorcontrib><creatorcontrib>Parsons, Michael</creatorcontrib><creatorcontrib>Suh, John H.</creatorcontrib><creatorcontrib>Chao, Samuel T.</creatorcontrib><creatorcontrib>Yu, Jennifer S.</creatorcontrib><creatorcontrib>Kotecha, Rupesh</creatorcontrib><creatorcontrib>Jia, Xuefei</creatorcontrib><creatorcontrib>Peereboom, David M.</creatorcontrib><creatorcontrib>Prayson, Richard A.</creatorcontrib><creatorcontrib>Stevens, Glen H.J.</creatorcontrib><creatorcontrib>Barnett, Gene H.</creatorcontrib><creatorcontrib>Vogelbaum, Michael A.</creatorcontrib><creatorcontrib>Ahluwalia, Manmeet S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><jtitle>International journal of radiation oncology, biology, physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Murphy, Erin S.</au><au>Leyrer, Charles M.</au><au>Parsons, Michael</au><au>Suh, John H.</au><au>Chao, Samuel T.</au><au>Yu, Jennifer S.</au><au>Kotecha, Rupesh</au><au>Jia, Xuefei</au><au>Peereboom, David M.</au><au>Prayson, Richard A.</au><au>Stevens, Glen H.J.</au><au>Barnett, Gene H.</au><au>Vogelbaum, Michael A.</au><au>Ahluwalia, Manmeet S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Factors for Malignant Transformation of Low-Grade Glioma</atitle><jtitle>International journal of radiation oncology, biology, physics</jtitle><addtitle>Int J Radiat Oncol Biol Phys</addtitle><date>2018-03-15</date><risdate>2018</risdate><volume>100</volume><issue>4</issue><spage>965</spage><epage>971</epage><pages>965-971</pages><issn>0360-3016</issn><eissn>1879-355X</eissn><abstract>The incidence, risk factors, and outcomes of low-grade glioma patients who undergo malignant transformation (MT) in the era of temozolomide are not well known. This study evaluates these factors in a large group of World Health Organization grade 2 glioma patients treated at a tertiary-care institution. Patient, tumor, and treatment factors were analyzed using an institutional review board–approved low-grade glioma database. Characteristics were compared using χ2 and Wilcoxon signed rank tests. Time to event was summarized using proportional hazards models. Univariate and multivariate survival analyses were performed. Of a total of 599 patients, 124 underwent MT; 76 (61.3%) had biopsy-proven MT. The MT incidence was 21%, and the median time to MT was 56.4 months. The 5- and 10-year progression-free survival rates were 30.6% ± 4.2% and 4.8% ± 1.9%, respectively, for MT patients and 60% ± 2.4% and 38% ± 2.7%, respectively, for non-MT patients. The 5- and 10-year overall survival rates were 75% ± 4.0% and 46% ± 5.0%, respectively, for MT patients and 87% ± 1.7% and 78% ± 2.3%, respectively, for non-MT patients. On multivariate analysis, older age (P = .001), male sex (P = .004), multiple tumor locations (P = .004), chemotherapy alone (P = .012), and extent of resection (P = .045) remained significant predictors of MT. MT affects survival. Risk factors include older age, male sex, multiple tumor locations, use of chemotherapy alone, and presence of residual disease. Our finding that initial interventions could affect the rate of MT is provocative, but these data should be validated using data from prospective trials. In addition to improving survival, future therapeutic efforts should focus on preventing MT.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>29485076</pmid><doi>10.1016/j.ijrobp.2017.12.258</doi><tpages>7</tpages></addata></record>
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subjects Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Analysis of Variance
Antineoplastic Agents - adverse effects
Antineoplastic Agents - therapeutic use
Antineoplastic Agents, Alkylating - adverse effects
Brain Neoplasms - epidemiology
Brain Neoplasms - mortality
Brain Neoplasms - pathology
Brain Neoplasms - therapy
Cell Transformation, Neoplastic - pathology
Chi-Square Distribution
Child
Child, Preschool
EARTH PLANET
Female
Glioma - epidemiology
Glioma - mortality
Glioma - pathology
Glioma - therapy
GLIOMAS
Glycosides
HAZARDS
Humans
Incidence
Infant
Lignans
Male
Middle Aged
PATIENTS
Progression-Free Survival
RADIOLOGY AND NUCLEAR MEDICINE
Risk Factors
Sex Factors
Statistics, Nonparametric
Temozolomide - adverse effects
Time Factors
Young Adult
title Risk Factors for Malignant Transformation of Low-Grade Glioma
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