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MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS
INTRODUCTION: Aging is a negative prognostic factor in glioblastoma (GB) and the genetic background in clinical outcome of elderly GB could exist. This study investigates the difference of elderly patients from younger ones regarding molecular characteristics as well as clinical outcomes in IDH-wild...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213341/ http://dx.doi.org/10.1093/noajnl/vdz039.101 |
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author | Fukai, Junya Arita, Hideyuki Umehara, Toru Yoshioka, Ema Shofuda, Tomoko Kodama, Yoshinori Kinoshita, Manabu Okita, Yoshiko Nonaka, Masahiro Uda, Takehiro Sakamoto, Daisuke Mori, Kanji Kanemura, Yonehiro |
author_facet | Fukai, Junya Arita, Hideyuki Umehara, Toru Yoshioka, Ema Shofuda, Tomoko Kodama, Yoshinori Kinoshita, Manabu Okita, Yoshiko Nonaka, Masahiro Uda, Takehiro Sakamoto, Daisuke Mori, Kanji Kanemura, Yonehiro |
author_sort | Fukai, Junya |
collection | PubMed |
description | INTRODUCTION: Aging is a negative prognostic factor in glioblastoma (GB) and the genetic background in clinical outcome of elderly GB could exist. This study investigates the difference of elderly patients from younger ones regarding molecular characteristics as well as clinical outcomes in IDH-wildtype GB. METHODS: We collected adult cases diagnosed with IDH-wildtype GB and enrolled in Kansai Molecular Diagnosis Network for CNS Tumors (Kansai Network) (212 cases) and The Cancer Genome Atlas (TCGA) project (359 cases). Clinical and pathological characteristics were analyzed retrospectively and compared between elderly cases (≥70 years) and younger ones (≤50 years). Molecular analysis included copy number alterations (CNAs) of eight genes (EGFR, PDGFRA, PTEN, CDKN2A, CDK4, MDM2, TP53, NFKBIA). RESULTS: Included in the study were 92 (≥70 years)/33 (≤50 years) cases of Kansai Network and 88 (≥70 years)/69 (≤50 years) cases of TCGA. Median overall survival was 12.8 (≥70 years)/ 21.0 (≤50 years) months in Kansai Network cohort and 8.8 (≥70 years)/ 21.09 (≤50 years) months in TCGA cohort. MGMT promoter was methylated in 50 (54.3%) (≥70 years)/14 (42.4%) (≤50 years) tumors in Kansai Network and 34 (48.6%) (≥70 years)/16 (36.4%) (≤50 years) tumors in TCGA. TERT promoter was mutated in 51 (55.4%) (≥70 years)/13 (39.4%) (≤50 years) tumors in Kansai Network and unknown in TCGA. Significant difference of CNA profiles between ≥70 years and ≤50 years was as follows: PTEN del, 43 (46.7%)/8 (24.2%); CDK4 amp, 17 (18.5%)/1 (3.0%) in Kansai Network and CDKN2A del, 69 (78.4%)/ 42 (60.9%) in TCGA. CONCLUSION: Elderly patients have several potential factors for poor prognosis and different molecular profiles might explain the survival differences among generations. |
format | Online Article Text |
id | pubmed-7213341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72133412020-07-07 MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS Fukai, Junya Arita, Hideyuki Umehara, Toru Yoshioka, Ema Shofuda, Tomoko Kodama, Yoshinori Kinoshita, Manabu Okita, Yoshiko Nonaka, Masahiro Uda, Takehiro Sakamoto, Daisuke Mori, Kanji Kanemura, Yonehiro Neurooncol Adv Abstracts INTRODUCTION: Aging is a negative prognostic factor in glioblastoma (GB) and the genetic background in clinical outcome of elderly GB could exist. This study investigates the difference of elderly patients from younger ones regarding molecular characteristics as well as clinical outcomes in IDH-wildtype GB. METHODS: We collected adult cases diagnosed with IDH-wildtype GB and enrolled in Kansai Molecular Diagnosis Network for CNS Tumors (Kansai Network) (212 cases) and The Cancer Genome Atlas (TCGA) project (359 cases). Clinical and pathological characteristics were analyzed retrospectively and compared between elderly cases (≥70 years) and younger ones (≤50 years). Molecular analysis included copy number alterations (CNAs) of eight genes (EGFR, PDGFRA, PTEN, CDKN2A, CDK4, MDM2, TP53, NFKBIA). RESULTS: Included in the study were 92 (≥70 years)/33 (≤50 years) cases of Kansai Network and 88 (≥70 years)/69 (≤50 years) cases of TCGA. Median overall survival was 12.8 (≥70 years)/ 21.0 (≤50 years) months in Kansai Network cohort and 8.8 (≥70 years)/ 21.09 (≤50 years) months in TCGA cohort. MGMT promoter was methylated in 50 (54.3%) (≥70 years)/14 (42.4%) (≤50 years) tumors in Kansai Network and 34 (48.6%) (≥70 years)/16 (36.4%) (≤50 years) tumors in TCGA. TERT promoter was mutated in 51 (55.4%) (≥70 years)/13 (39.4%) (≤50 years) tumors in Kansai Network and unknown in TCGA. Significant difference of CNA profiles between ≥70 years and ≤50 years was as follows: PTEN del, 43 (46.7%)/8 (24.2%); CDK4 amp, 17 (18.5%)/1 (3.0%) in Kansai Network and CDKN2A del, 69 (78.4%)/ 42 (60.9%) in TCGA. CONCLUSION: Elderly patients have several potential factors for poor prognosis and different molecular profiles might explain the survival differences among generations. Oxford University Press 2019-12-16 /pmc/articles/PMC7213341/ http://dx.doi.org/10.1093/noajnl/vdz039.101 Text en © The Author(s) 2019. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Fukai, Junya Arita, Hideyuki Umehara, Toru Yoshioka, Ema Shofuda, Tomoko Kodama, Yoshinori Kinoshita, Manabu Okita, Yoshiko Nonaka, Masahiro Uda, Takehiro Sakamoto, Daisuke Mori, Kanji Kanemura, Yonehiro MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS |
title | MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS |
title_full | MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS |
title_fullStr | MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS |
title_full_unstemmed | MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS |
title_short | MPC-04 MOLECULAR FEATURES AND CLINICAL OUTCOMES OF ELDERLY GLIOBLASTOMA PATIENTS: ANALYSES OF KANSAI NETWORK AND TCGA COHORTS |
title_sort | mpc-04 molecular features and clinical outcomes of elderly glioblastoma patients: analyses of kansai network and tcga cohorts |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213341/ http://dx.doi.org/10.1093/noajnl/vdz039.101 |
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