Cargando…

Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication

Advanced genomic techniques have now been incorporated into diagnostic practice in neuro-oncology in the literature. However, these assays are expensive and time-consuming and demand bioinformatics expertise for data interpretation. In contrast, single-gene tests can be run much more cheaply, with a...

Descripción completa

Detalles Bibliográficos
Autores principales: Chan, Aden Ka-Yin, Shi, Zhi-Feng, Li, Kay Ka-Wai, Wang, Wei-Wei, Chen, Hong, Chung, Nellie Yuk-Fei, Chan, Danny Tat-Ming, Poon, Wai-Sang, Loong, Herbert Ho-fung, Liu, Xian-Zhi, Zhang, Zhen-Yu, Mao, Ying, Ng, Ho-Keung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090434/
https://www.ncbi.nlm.nih.gov/pubmed/35558510
http://dx.doi.org/10.3389/fonc.2022.839302
_version_ 1784704722893012992
author Chan, Aden Ka-Yin
Shi, Zhi-Feng
Li, Kay Ka-Wai
Wang, Wei-Wei
Chen, Hong
Chung, Nellie Yuk-Fei
Chan, Danny Tat-Ming
Poon, Wai-Sang
Loong, Herbert Ho-fung
Liu, Xian-Zhi
Zhang, Zhen-Yu
Mao, Ying
Ng, Ho-Keung
author_facet Chan, Aden Ka-Yin
Shi, Zhi-Feng
Li, Kay Ka-Wai
Wang, Wei-Wei
Chen, Hong
Chung, Nellie Yuk-Fei
Chan, Danny Tat-Ming
Poon, Wai-Sang
Loong, Herbert Ho-fung
Liu, Xian-Zhi
Zhang, Zhen-Yu
Mao, Ying
Ng, Ho-Keung
author_sort Chan, Aden Ka-Yin
collection PubMed
description Advanced genomic techniques have now been incorporated into diagnostic practice in neuro-oncology in the literature. However, these assays are expensive and time-consuming and demand bioinformatics expertise for data interpretation. In contrast, single-gene tests can be run much more cheaply, with a short turnaround time, and are available in general pathology laboratories. The objective of this study was to establish a molecular grading scheme for adult gliomas using combinations of commonly available single-gene tests. We retrospectively evaluated molecular diagnostic data of 1,275 cases of adult diffuse gliomas from three institutions where we were testing for IDH1/2 mutation, TERTp mutation, 1p19q codeletion, EGFR amplification, 10q deletion, BRAF V600E, and H3 mutations liberally in our regular diagnostic workup. We found that a molecular grading scheme of Group 1 (1p19q codeleted, IDH mutant), Group 2 (IDH mutant, 1p19q non-deleted, TERT mutant), Group 3 (IDH mutant, 1p19q non-deleted, TERT wild type), Group 4 (IDH wild type, BRAF mutant), Group 5 (IDH wild type, BRAF wild type and not possessing the criteria of Group 6), and Group 6 (IDH wild type, and any one of TERT mutant, EGFR amplification, 10q deletion, or H3 mutant) could significantly stratify this large cohort of gliomas for risk. A total of 1,028 (80.6%) cases were thus classifiable with sufficient molecular data. There were 270 cases of molecular Group 1, 59 cases of molecular Group 2, 248 cases of molecular Group 3, 27 cases of molecular Group 4, 117 cases of molecular Group 5, and 307 cases of molecular Group 6. The molecular groups were independent prognosticators by multivariate analyses and in specific instances, superseded conventional histological grades. We were also able to validate the usefulness of the Groups with a cohort retrieved from The Cancer Genome Atlas (TCGA) where similar molecular tests were liberally available. We conclude that a single-gene molecular stratification system, useful for fine prognostication, is feasible and can be adopted by a general pathology laboratory.
format Online
Article
Text
id pubmed-9090434
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-90904342022-05-11 Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication Chan, Aden Ka-Yin Shi, Zhi-Feng Li, Kay Ka-Wai Wang, Wei-Wei Chen, Hong Chung, Nellie Yuk-Fei Chan, Danny Tat-Ming Poon, Wai-Sang Loong, Herbert Ho-fung Liu, Xian-Zhi Zhang, Zhen-Yu Mao, Ying Ng, Ho-Keung Front Oncol Oncology Advanced genomic techniques have now been incorporated into diagnostic practice in neuro-oncology in the literature. However, these assays are expensive and time-consuming and demand bioinformatics expertise for data interpretation. In contrast, single-gene tests can be run much more cheaply, with a short turnaround time, and are available in general pathology laboratories. The objective of this study was to establish a molecular grading scheme for adult gliomas using combinations of commonly available single-gene tests. We retrospectively evaluated molecular diagnostic data of 1,275 cases of adult diffuse gliomas from three institutions where we were testing for IDH1/2 mutation, TERTp mutation, 1p19q codeletion, EGFR amplification, 10q deletion, BRAF V600E, and H3 mutations liberally in our regular diagnostic workup. We found that a molecular grading scheme of Group 1 (1p19q codeleted, IDH mutant), Group 2 (IDH mutant, 1p19q non-deleted, TERT mutant), Group 3 (IDH mutant, 1p19q non-deleted, TERT wild type), Group 4 (IDH wild type, BRAF mutant), Group 5 (IDH wild type, BRAF wild type and not possessing the criteria of Group 6), and Group 6 (IDH wild type, and any one of TERT mutant, EGFR amplification, 10q deletion, or H3 mutant) could significantly stratify this large cohort of gliomas for risk. A total of 1,028 (80.6%) cases were thus classifiable with sufficient molecular data. There were 270 cases of molecular Group 1, 59 cases of molecular Group 2, 248 cases of molecular Group 3, 27 cases of molecular Group 4, 117 cases of molecular Group 5, and 307 cases of molecular Group 6. The molecular groups were independent prognosticators by multivariate analyses and in specific instances, superseded conventional histological grades. We were also able to validate the usefulness of the Groups with a cohort retrieved from The Cancer Genome Atlas (TCGA) where similar molecular tests were liberally available. We conclude that a single-gene molecular stratification system, useful for fine prognostication, is feasible and can be adopted by a general pathology laboratory. Frontiers Media S.A. 2022-04-26 /pmc/articles/PMC9090434/ /pubmed/35558510 http://dx.doi.org/10.3389/fonc.2022.839302 Text en Copyright © 2022 Chan, Shi, Li, Wang, Chen, Chung, Chan, Poon, Loong, Liu, Zhang, Mao and Ng https://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
Chan, Aden Ka-Yin
Shi, Zhi-Feng
Li, Kay Ka-Wai
Wang, Wei-Wei
Chen, Hong
Chung, Nellie Yuk-Fei
Chan, Danny Tat-Ming
Poon, Wai-Sang
Loong, Herbert Ho-fung
Liu, Xian-Zhi
Zhang, Zhen-Yu
Mao, Ying
Ng, Ho-Keung
Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication
title Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication
title_full Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication
title_fullStr Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication
title_full_unstemmed Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication
title_short Combinations of Single-Gene Biomarkers Can Precisely Stratify 1,028 Adult Gliomas for Prognostication
title_sort combinations of single-gene biomarkers can precisely stratify 1,028 adult gliomas for prognostication
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090434/
https://www.ncbi.nlm.nih.gov/pubmed/35558510
http://dx.doi.org/10.3389/fonc.2022.839302
work_keys_str_mv AT chanadenkayin combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT shizhifeng combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT likaykawai combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT wangweiwei combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT chenhong combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT chungnellieyukfei combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT chandannytatming combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT poonwaisang combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT loongherberthofung combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT liuxianzhi combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT zhangzhenyu combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT maoying combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication
AT nghokeung combinationsofsinglegenebiomarkerscanpreciselystratify1028adultgliomasforprognostication