| Literature DB >> 35558510 |
Aden Ka-Yin Chan1,2, Zhi-Feng Shi2,3, Kay Ka-Wai Li1,2, Wei-Wei Wang4, Hong Chen5, Nellie Yuk-Fei Chung1, Danny Tat-Ming Chan6, Wai-Sang Poon6, Herbert Ho-Fung Loong7, Xian-Zhi Liu8, Zhen-Yu Zhang8, Ying Mao2,3, Ho-Keung Ng1,2.
Abstract
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 The molecular groups were independent prognosticators by multivariate analyses and in specific instances, superseded conventional histological grades.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.Entities:
Keywords: 10q; 1p19q; BRAF; EGFR; H3; IDH1/2; TERT; gliomas
Year: 2022 PMID: 35558510 PMCID: PMC9090434 DOI: 10.3389/fonc.2022.839302
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Clinical characteristics of 1,275 diffuse gliomas.
| All cases | Molecular group I | Molecular group 2 | Molecular group 3 | Molecular group 4 | Molecular group 5 | Molecular group 6 | |
|---|---|---|---|---|---|---|---|
| (N = 1275) | (N = 270) | (N = 59) | (N = 248) | (N = 27) | (n = 117) | (N = 307) | |
| Age (Mean/Median/Range) | 45.6 | 44.2 | 44 | 41.2 | 37.7 | 41.2 | 52.3 |
| Gender | |||||||
| Male | 746 (58.5%) | 161 (59.6%) | 36 (61%) | 145 (58.5%) | 12 (44.1%) | 72 (61.5%) | 177 (57.7%) |
| Female | 529 (41.5%) | 109 (40.4%) | 23 (39%) | 103 (41.5%) | 15 (55.6%) | 45 (38.5%) | 130 (42.3%) |
| H istologic grade | |||||||
| Grade II | 554 (43.5%) | 206 (76.3%) | 43 (72.9%) | 164 (66.1%) | 5 (18.5%) | 33 (28.2%) | 41 (13.4%) |
| Grade III | 304 (23.8%) | 64 (23.7%) | 15 (25.4%) | 67 (27%) | 4 (14.8%) | 34 (29.1%) | 60 (19.5%) |
| GradeIV | 417 (32.7%) | 0 | I (1.7%) | 17 (6.9%) | 18 (66.7%) | 50 (42.7%) | 206 (67.1%) |
| Operation | |||||||
| Total resection | 828 (64.9%) | 291 (81.1%) | 40 (67.8%) | 163 (65.7%) | 16 (59.3%) | 51 (43.6%) | 174 (56.7%) |
| Non-total resection | 386 (30.3%) | 51 (18.9%) | 18 (30.5%) | 71 (28.6%) | 4 (14.8%) | 52 (44.4%) | 114 (37.1%) |
| Not available | 61 (4.8%) | 0 | I (1.7%) | 14 (5.6%) | 7 (25.9%) | 14 (12%) | 19 (6.2%) |
| Radiotherapy | |||||||
| Yes | 692 (54.3%) | 203 (75.2%) | 43 (72.9%) | 185 (74.6%) | 16 (59.3%) | 75 (64.1%) | 124 (40.4%) |
| No | 202 (15.8%) | 45 {16.7%) | 13 (22%) | 45 (18.1%) | 4 (14.8%) | 26 (22.2%) | 46 (15%) |
| Not available | 381 (29.9%) | 22 (8.1%) | 3 (5.1%) | 18 (7.3%) | 7 (25.9%) | 16 (13.7%) | 137 (44.6%) |
| Chemotherapy | |||||||
| Yes | 622 (48.8%) | 176 (65.2%) | 34 (57.6%) | 161 (64.9%) | 17 (63%) | 70 (59.8%) | 108 (35.2%) |
| No | 290 (22.7%) | 72 (26.7%) | 22 (37.3) | 69 (27.8%) | 3 (I 1.1%) | 32 (27.4%) | 62 (20.2%) |
| Not available | 363 (28.5%) | 22 (8.1%) | 3 (5.1%) | 18 (7.3%) | 7 (25.9%) | 15 {12.8%) | 137 (44.6%) |
| Overall survival (Mean/Median) (years) | 6.7 | 12.3 | 9.6 111.3 | 7.6 16.1 | 6. 7 | 5. 0/1.8 | 1.8 |
Figure 1Overall survival curves of adult gliomas with respect to molecular Group.
Figure 2Multivariate analysis of clinical and molecular parameters.
Figure 3Molecular group superseded the histological grading in predicting overall survival in adult gliomas (A). WHO grade III, molecular Group 1 tumors had a longer overall survival as compared to WHO grade II, molecular Group 2 tumors. (B) WHO grade III, molecular Group 6 tumors had a significantly shorter overall survival as compared to WHO grade IV, molecular Group 4 tumors. (C) WHO grade IV, molecular Group 4 and WHO grade II, molecular Group 6 tumors did not differ in overall survival.