China Oncology ›› 2023, Vol. 33 ›› Issue (8): 740-750.doi: 10.19401/j.cnki.1007-3639.2023.08.003
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JIANG Lin(), LIU Qiying, JIA Liqing, ZHANG Jing, CHANG Heng, XUE Tian, REN Min, BAI Qianming, ZHU Xiaoli, ZHOU Xiaoyan(
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Received:
2023-04-26
Revised:
2023-07-02
Online:
2023-08-30
Published:
2023-09-01
Contact:
ZHOU Xiaoyan
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JIANG Lin, LIU Qiying, JIA Liqing, ZHANG Jing, CHANG Heng, XUE Tian, REN Min, BAI Qianming, ZHU Xiaoli, ZHOU Xiaoyan. Retrospective study on MGMT methylation status and its clinical significance in gliomas[J]. China Oncology, 2023, 33(8): 740-750.
Tab. 1
The correlation between MGMTmet and clinicopathological characteristics in patients with glioma"
Characteristic | Case n | MGMT promotor methylation | χ2 | P value |
---|---|---|---|---|
Gender | 4.037 | 0.045 | ||
Male | 125 | 70 | ||
Female | 80 | 56 | ||
Age/year | 2.333 | 0.127 | ||
<55 | 120 | 79 | ||
≥55 | 85 | 47 | ||
Tumor location | 7.026 | 0.071 | ||
Cerebellum brain stem | 6 | 3 | ||
Temporo-occipital lobe | 47 | 25 | ||
Frontal lobe | 69 | 51 | ||
Others | 83 | 47 | ||
Tumor histological type | 42.080 | <0.001 | ||
Glioblastoma | 93 | 44 | ||
Oligodendroglioma | 33 | 33 | ||
Astrocytoma | 58 | 43 | ||
Others | 21 | 6 | ||
WHO grade | 26.730 | <0.001 | ||
4 | 120 | 57 | ||
3 | 36 | 33 | ||
1+2 | 49 | 36 |
Tab. 2
Comparison of molecular pathological indicator mutations between MGMTmet and MGMTunmet groups of patients [n (%)]"
Molecular characteristics | MGMTmet (n=127) | MGMTunmet (n=78) | χ2 | P value |
---|---|---|---|---|
IDH1mut | 35.248 | <0.001 | ||
- | 53 (41.7) | 60 (76.9) | ||
+ | 67 (52.8) | 9 (11.5) | ||
NA | 7 (5.5) | 9 (11.5) | ||
IDH2mut | 4.391 | 0.111 | ||
- | 111 (87.4) | 69 (88.5) | ||
+ | 6 (4.7) | 0 (0.0) | ||
NA | 10 (7.9) | 9 (11.5) | ||
1p19q co-deletion | 15.588 | <0.001 | ||
- | 42 (33.1) | 28 (35.9) | ||
+ | 36 (28.3) | 5 (6.4) | ||
NA | 49 (38.6) | 45 (57.7) | ||
TERT mutation | 1.412 | 0.494 | ||
- | 38 (29.9) | 20 (25.6) | ||
+ | 86 (67.7) | 54 (69.2) | ||
NA | 3 (2.4) | 4 (5.1) |
Tab. 3
Univariate analysis of prognostic factors of glioma patients"
Item | Case n | OS | χ2 | P value |
---|---|---|---|---|
Gender | 2.406 | 0.121 | ||
Male | 125 | 15.18±18.99 | ||
Female | 80 | 15.63±13.26 | ||
Age/year | 24.683 | < 0.001 | ||
<55 | 120 | 18.10±20.07 | ||
≥55 | 85 | 11.48±10.04 | ||
Tumor location | 1.838 | 0.607 | ||
Cerebellum brain stem | 6 | 11.50±10.15 | ||
Temporo-occipital lobe | 47 | 15.26±12.77 | ||
Frontal lobe | 69 | 18.94±21.99 | ||
Others | 83 | 12.71±14.04 | ||
Tumor histological type | 24.437 | < 0.001 | ||
Glioblastoma | 93 | 11.74±10.90 | ||
Oligodendroglioma | 33 | 21.61±26.19 | ||
Astrocytoma | 58 | 17.79±18.26 | ||
Others | 21 | 14.81±13.91 | ||
WHO grade | 29.622 | < 0.001 | ||
4 | 120 | 13.14±12.34 | ||
3 | 36 | 22.03±25.59 | ||
1+2 | 49 | 15.88±17.88 | ||
MGMT methylation | 9.629 | 0.002 | ||
Negative | 78 | 13.71±13.67 | ||
Positive | 127 | 16.37±18.66 | ||
IDH1mut | 12.563 | 0.002 | ||
- | 113 | 13.54±15.80 | ||
+ | 76 | 18.64±18.72 | ||
NA | 16 | 12.56±14.29 | ||
IDH2mut | 3.226 | 0.199 | ||
- | 180 | 14.70±15.14 | ||
+ | 6 | 42.17±43.90 | ||
NA | 19 | 13.11±13.83 | ||
1p19q co-deletion | 11.554 | 0.003 | ||
- | 70 | 15.83±17.05 | ||
+ | 41 | 20.54±23.91 | ||
NA | 94 | 12.74±12.23 | ||
TERT mutation | 2.859 | 0.239 | ||
- | 58 | 16.98±20.91 | ||
+ | 140 | 14.84±15.38 | ||
NA | 7 | 12.14±9.34 | ||
MGMT/IDH1 | 18.528 | 0.001 | ||
Met/mut | 67 | 18.72±19.23 | ||
Met/wt | 53 | 14.70±18.58 | ||
Unmet/mut | 9 | 18.11±15.20 | ||
Unmet/wt | 60 | 12.52±12.93 | ||
NA | 16 | 12.56±14.29 | ||
MGMT /1p19q | 23.739 | < 0.001 | ||
Met/co-del | 36 | 21.81±25.08 | ||
Met/non co-del | 42 | 16.50±18.66 | ||
Unmet/co-del | 5 | 11.40±9.69 | ||
Unmet/non co-del | 28 | 14.82±14.58 | ||
NA | 94 | 12.74±12.23 | ||
MGMT/IDH1/1p19q | 14.553 | 0.002 | ||
Met/mut/co-del | 26 | 18.62±19.02 | ||
1 or 2 positive | 64 | 18.77±21.79 | ||
Unmet/wt/non co-del | 18 | 13.17±14.82 | ||
NA | 97 | 12.64±12.12 |
Fig. 1
Kaplan Meier survival curve analysis under different clinical pathological characteristics and gene states A: The OS of MGMTmet positive patients was longer than that of negative patients; B, C, D: Glioma patients younger than 55 years old, oligodendroglioma, WHO 1+2 and WHO 3 patients all showed longer OS; E, F: The OS of patients with IDH1mut and 1p19q co-del was also significantly prolonged; G, H: Compared with single factor, patients with MGMTmet/IDH1mut and MGMTmet/1p19q co-del have better prognosis; I: Three gene combinations (MGMT/IDH1/1p19q) analysis of overall survival in patients. NA: Not available."
Tab. 4
Multifactor analysis results of COX regression model for prognosis of glioma patients"
Prognostic factor | B | SE | Wald | P value | HR | 95% CI |
---|---|---|---|---|---|---|
Age | 1.011 | 0.388 | 6.792 | 0.009 | 2.749 | 1.285-5.882 |
Tumor histological type | -0.057 | 0.224 | 0.064 | 0.801 | 0.945 | 0.609-1.467 |
WHO grade | -1.275 | 0.534 | 5.697 | 0.017 | 0.279 | 0.098-0.796 |
MGMT status | 0.188 | 0.675 | 0.077 | 0.781 | 1.206 | 0.321-4.531 |
IDH1 status | -0.019 | 0.377 | 0.003 | 0.959 | 0.981 | 0.469-2.052 |
1p19q codel | 0.378 | 0.308 | 1.500 | 0.221 | 1.459 | 0.797-2.67 |
MGMT/IDH1status | 0.082 | 0.263 | 0.096 | 0.757 | 1.085 | 0.648-1.818 |
MGMT/1p19q status | 0.989 | 0.400 | 6.127 | 0.013 | 2.689 | 1.229-5.883 |
MGMT/IDH1/1p19q status | -1.257 | 0.597 | 4.426 | 0.035 | 0.285 | 0.088-0.918 |
Fig. 2
Kaplan Meier survival curve analysis under different genetic abnormalities and TMZ treatment status A: Among glioma patients treated with TMZ, patients with MGMTmet had longer OS than those with negative MGMTunmet/TMZ+; B: The OS of patients with TMZ treatment and MGMTmet/IDH1mut positive (MGMTmet/IDH1mut/TMZ+) was longer than that of negative (MGMTmet/IDH1wt/TMZ+) patients; C: Among the patients treated with TMZ and accompanied with MGMTmet, there was no statistical difference between the OS of 1p19q co-deletion positive (MGMTmet/1p19q co-del/TMZ+) patients and negative patients."
[1] | PRATHER K Y, O'NEAL C M, WESTRUP A M, et al. A systematic review of amino acid PET in assessing treatment response to temozolomide in glioma[J]. Neurooncol Adv, 2022, 4(1): vdac008. |
[2] |
MILLER K D, OSTROM Q T, KRUCHKO C, et al. Brain and other central nervous system tumor statistics, 2021[J]. CA Cancer J Clin, 2021, 71(5): 381-406.
doi: 10.3322/caac.v71.5 |
[3] |
OSTROM Q T, GITTLEMAN H, STETSON L, et al. Epidemiology of gliomas[J]. Cancer Treat Res, 2015, 163: 1-14.
doi: 10.1007/978-3-319-12048-5_1 pmid: 25468222 |
[4] |
YANG P, WANG Y Z, PENG X X, et al. Management and survival rates in patients with glioma in China (2004-2010): a retrospective study from a single-institution[J]. J Neurooncol, 2013, 113(2): 259-266.
doi: 10.1007/s11060-013-1103-9 |
[5] |
STUPP R, HEGI M E, MASON W P, et al. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase Ⅲ study: 5-year analysis of the EORTC-NCIC trial[J]. Lancet Oncol, 2009, 10(5): 459-466.
doi: 10.1016/S1470-2045(09)70025-7 |
[6] |
TOUAT M, IDBAIH A, SANSON M, et al. Glioblastoma targeted therapy: updated approaches from recent biological insights[J]. Ann Oncol, 2017, 28(7): 1457-1472.
doi: 10.1093/annonc/mdx106 pmid: 28863449 |
[7] |
BINABAJ M M, BAHRAMI A, SHAHIDSALES S, et al. The prognostic value of MGMT promoter methylation in glioblastoma: a meta-analysis of clinical trials[J]. J Cell Physiol, 2018, 233(1): 378-386.
doi: 10.1002/jcp.v233.1 |
[8] |
SAREEN H, MA Y F, BECKER T M, et al. Molecular biomarkers in glioblastoma: a systematic review and meta-analysis[J]. Int J Mol Sci, 2022, 23(16): 8835.
doi: 10.3390/ijms23168835 |
[9] |
WU Q, BERGLUND A E, WANG D P, et al. Paradoxical epigenetic regulation of XAF1 mediates plasticity towards adaptive resistance evolution in MGMT-methylated glioblastoma[J]. Sci Rep, 2019, 9(1): 14072.
doi: 10.1038/s41598-019-50489-2 |
[10] |
LOUIS D N, PERRY A, REIFENBERGER G, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary[J]. Acta Neuropathol, 2016, 131(6): 803-820.
doi: 10.1007/s00401-016-1545-1 pmid: 27157931 |
[11] |
LOUIS D N, PERRY A, WESSELING P, et al. The 2021 WHO classification of tumors of the central nervous system: a summary[J]. Neuro Oncol, 2021, 23(8): 1231-1251.
doi: 10.1093/neuonc/noab106 |
[12] |
KRISTENSEN B W, PRIESTERBACH-ACKLEY L P, PETERSEN J K, et al. Molecular pathology of tumors of the central nervous system[J]. Ann Oncol, 2019, 30(8): 1265-1278.
doi: S0923-7534(19)31283-9 pmid: 31124566 |
[13] |
ŚLEDZIŃSKA P, BEBYN M, SZCZERBA E, et al. Glioma 2021 WHO classification: the superiority of NGS over IHC in routine diagnostics[J]. Mol Diagn Ther, 2022, 26(6): 699-713.
doi: 10.1007/s40291-022-00612-3 pmid: 36053463 |
[14] |
REIFENBERGER G, WIRSCHING H G, KNOBBE-THOMSEN C B, et al. Advances in the molecular genetics of gliomas-implications for classification and therapy[J]. Nat Rev Clin Oncol, 2017, 14(7): 434-452.
doi: 10.1038/nrclinonc.2016.204 |
[15] |
WEI Y T, LU C F, ZHOU P, et al. EIF4A3-induced circular RNA ASAP1 promotes tumorigenesis and temozolomide resistance of glioblastoma via NRAS/MEK1/ERK1-2 signaling[J]. Neuro Oncol, 2021, 23(4): 611-624.
doi: 10.1093/neuonc/noaa214 |
[16] |
WIESTLER B, CAPPER D, SILL M, et al. Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma[J]. Acta Neuropathol, 2014, 128(4): 561-571.
doi: 10.1007/s00401-014-1315-x pmid: 25008768 |
[17] |
WICK W, WELLER M, VAN DEN BENT M, et al. MGMT testing: the challenges for biomarker-based glioma treatment[J]. Nat Rev Neurol, 2014, 10(7): 372-385.
doi: 10.1038/nrneurol.2014.100 |
[18] |
PATEL N P, LYON K A, HUANG J H. The effect of race on the prognosis of the glioblastoma patient: a brief review[J]. Neurol Res, 2019, 41(11): 967-971.
doi: 10.1080/01616412.2019.1638018 pmid: 31271539 |
[19] |
MELLAI M, MONZEGLIO O, PIAZZI A, et al. MGMT promoter hypermethylation and its associations with genetic alterations in a series of 350 brain tumors[J]. J Neurooncol, 2012, 107(3): 617-631.
doi: 10.1007/s11060-011-0787-y |
[20] |
KANG S H, PARK K J, KIM C Y, et al. O6-methylguanine DNA methyltransferase status determined by promoter methylation and immunohistochemistry in gliosarcoma and their clinical implications[J]. J Neurooncol, 2011, 101(3): 477-486.
doi: 10.1007/s11060-010-0267-9 |
[21] |
TAN A C, ASHLEY D M, LÓPEZ G Y, et al. Management of glioblastoma: state of the art and future directions[J]. CA Cancer J Clin, 2020, 70(4): 299-312.
doi: 10.3322/caac.v70.4 |
[22] |
LOPCI E, RIVA M, OLIVARI L, et al. Prognostic value of molecular and imaging biomarkers in patients with supratentorial glioma[J]. Eur J Nucl Med Mol Imaging, 2017, 44(7): 1155-1164.
doi: 10.1007/s00259-017-3618-3 |
[23] |
VAN DEN BENT M J, DUBBINK H J, MARIE Y, et al. IDH1 and IDH2 mutations are prognostic but not predictive for outcome in anaplastic oligodendroglial tumors: a report of the European organization for research and treatment of cancer brain tumor group[J]. Clin Cancer Res, 2010, 16(5): 1597-1604.
doi: 10.1158/1078-0432.CCR-09-2902 pmid: 20160062 |
[24] |
LABUSSIERE M, IDBAIH A, WANG X W, et al. All the 1p19q codeleted gliomas are mutated on IDH1 or IDH2[J]. Neurology, 2010, 74(23): 1886-1890.
doi: 10.1212/WNL.0b013e3181e1cf3a |
[25] |
XU S B, WANG Z F, YE J, et al. Identification of iron metabolism-related genes as prognostic indicators for lower-grade glioma[J]. Front Oncol, 2021, 11: 729103.
doi: 10.3389/fonc.2021.729103 |
[26] |
TANAKA K, SASAYAMA T, MIZUKAWA K, et al. Combined IDH1 mutation and MGMT methylation status on long-term survival of patients with cerebral low-grade glioma[J]. Clin Neurol Neurosurg, 2015, 138: 37-44.
doi: 10.1016/j.clineuro.2015.07.019 |
[27] |
Cancer Genome Atlas Research Network, BRAT D J, VERHAAK R G, et al. Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas[J]. N Engl J Med, 2015, 372(26): 2481-2498.
doi: 10.1056/NEJMoa1402121 |
[28] |
KUTER D J. Treatment of chemotherapy-induced thrombocytopenia in patients with non-hematologic malignancies[J]. Haematologica, 2022, 107(6): 1243-1263.
doi: 10.3324/haematol.2021.279512 pmid: 35642485 |
[29] |
HEGI M E, DISERENS A C, GORLIA T, et al. MGMT gene silencing and benefit from temozolomide in glioblastoma[J]. N Engl J Med, 2005, 352(10): 997-1003.
doi: 10.1056/NEJMoa043331 |
[30] |
CHEN J, WANG T T, LIU W M, et al. Extended adjuvant temozolomide in newly diagnosed glioblastoma: a single-center retrospective study[J]. Front Oncol, 2022, 12: 1000501.
doi: 10.3389/fonc.2022.1000501 |
[31] | MOHILE N A, MESSERSMITH H, GATSON N T, et al. Therapy for diffuse astrocytic and oligodendroglial tumors in adults: ASCO-SNO guideline[J]. J Clin Oncol, 2022, 40(4): 403-426. |
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