| Literature DB >> 29550762 |
Hong-Qing Cai1,2, Peng-Fei Wang3, Hai-Peng Zhang4, Zhi-Jian Cheng4, Shou-Wei Li3, Jie He4, Yu Zhang2, Jia-Jie Hao2, Ming-Rong Wang2, Chang-Xiang Yan3, Jing-Hai Wan1.
Abstract
AIM: To identify biomarkers for accurate classification of glioma. PATIENTS AND METHODS: We evaluated the heat shock protein 27 (Hsp27), phosphorylated Hsp27 (p-Hsp27), ATRX and IDH1R132Hproteins using immunohistochemistry in 421 glioma tissues. The χ2 test was used to assess the relationship between molecular alterations and clinico-pathological parameters. Kaplan-Meier survival curves were constructed, and differences were detected by the log-rank test.Entities:
Keywords: ATRX; Hsp27; IDH1; glioma; prognosis
Mesh:
Substances:
Year: 2018 PMID: 29550762 PMCID: PMC6204978 DOI: 10.1136/jclinpath-2018-205000
Source DB: PubMed Journal: J Clin Pathol ISSN: 0021-9746 Impact factor: 3.411
Figure 1Representative immunohistochemistry images of Hsp27, p-Hsp27, ATRX and IDH1R132H. Hsp27, p-Hsp27 and IDH1R132H were commonly found in glioma tissue, but no immunostaining was found in non-neoplastic tissue. ATRX is normally expressed in non-neoplastic tissue and endothelial cells, but was often not expressed in glioma tissue.
Baseline information on selected gliomas by Hsp27, p-Hsp27, IDH1 mutation and ATRX loss
| Variable | No. | Hsp27 | High p-Hsp27 | IDH1 mutation | ATRX loss |
| Gender | |||||
| Male | 240 | 45 (18.8%) | 42 (17.5%) | 75 (31.3%) | 47 (19.6%) |
| Female | 181 | 46 (25.4%) | 41 (22.7%) | 48 (26.5%) | 36 (19.9%) |
| P value | 0.100 | 0.188 | 0.291 | 0.938 | |
| Age (years) | |||||
| ≤50 | 225 | 40 (17.8%) | 34 (15.1%) | 92 (40.9%) | 66 (29.3%) |
| >50 | 196 | 51 (26.0%) | 49 (25.0%) | 31 (15.8%) | 17 (8.7%) |
| P value | 0.040 | 0.011 | <0.001 | <0.001 | |
| KPS | |||||
| ≤60 | 87 | 20 (23.0%) | 17 (19.5%) | 25 (28.7%) | 14 (16.1%) |
| >60 | 215 | 46 (21.4%) | 46 (21.4%) | 62 (28.8%) | 49 (22.8%) |
| NA | 119 | 25 (21.0%) | 20 (16.8%) | 36 (30.3%) | 20 (16.8%) |
| P value | 0.938 | 0.600 | 0.958 | 0.267 | |
| Grade | |||||
| 2 | 77 | 8 (10.4%) | 2 (2.6%) | 32 (41.6%) | 24 (31.2%) |
| 3 | 65 | 13 (20.0%) | 15 (23.1%) | 27 (41.5%) | 16 (24.6%) |
| 4 | 279 | 70 (25.1%) | 66 (23.7%) | 64 (22.9%) | 43 (15.4%) |
| P value | 0.012 | <0.001 | <0.001 | 0.005 | |
| Pathology | |||||
| A | 52 | 6 (11.5%) | 1 (2.0%) | 17 (32.7%) | 19 (36.5%) |
| O | 16 | 2 (12.5%) | 1 (6.3%) | 8 (50.0%) | 2 (12.5%) |
| OA | 9 | 0 (0.0%) | 0 (0.0%) | 7 (77.8%) | 3 (33.3%) |
| AA | 39 | 11 (28.2%) | 12 (30.8%) | 11 (28.2%) | 11 (28.2%) |
| AO | 15 | 1 (6.7%) | 1 (6.7%) | 10 (66.7%) | 1 (6.7%) |
| AOA | 11 | 1 (9.9%) | 2 (18.2%) | 6 (54.5%) | 4 (36.4%) |
| pGBM | 233 | 67 (28.8%) | 63 (27.0%) | 32 (13.7%) | 28 (12.0%) |
| sGBM | 46 | 3 (6.5%) | 3 (6.5%) | 32 (69.6%) | 15 (32.6%) |
| P value | <0.001 | <0.001 | <0.001 | <0.001 | |
A, astrocytoma; AA, anaplastic astrocytoma; AO, anaplastic oligodendroglioma; AOA, anaplastic oligoastrocytoma; KPS, Karnofsky Performance Status; O, oligodendroglioma; OA, oligoastrocytoma; pGBM, primary glioblastoma; sGBM, secondary glioblastoma.
Relationship between the four selected biomarkers among all gliomas
| Variable | IDH1 | P value | ATRX expression | P value | ||
| Mutant | Wild-type | Loss | Normal | |||
| Hsp27 expression | ||||||
| High | 6 | 85 | <0.001 | 3 | 88 | <0.001 |
| Low | 117 | 213 | 80 | 250 | ||
| p-HSP27 expression | ||||||
| High | 1 | 82 | <0.001 | 0 | 83 | <0.001 |
| Low | 122 | 216 | 83 | 255 | ||
Figure 2Distribution of the four selected biomarkers in 421 gliomas. p-Hsp27 was mutually exclusive with the IDH1R132H mutation or ATRX loss, except for one anaplastic astrocytoma sample with expression of the IDH1R132H protein. Each column represents a glioma patient.
Figure 3Molecular classification of glioblastomas (GBMs). We separated GBMs into three groups: ATRX−/IDH1R132H, high p-Hsp27 expression (p-Hsp27+) and none of these three markers. Individuals with ATRX−/IDH1R132Hshowed the longest median survival, those with high p-Hsp27 expression had an intermediate prognosis, and those without any alteration in the three proteins had the poorest survival rates.