H3K27M-mutant diffuse midline gliomas should be further molecularly stratified: an integrated analysis of 669 patients
Introduction H3 K27M-mutated diffuse midline gliomas (H3-DMGs) are aggressive tumors with a fatal outcome. This study integrating individual patient data (IPD) from published studies aimed to investigate the prognostic impact of different genetic alterations on survival of these patients. Methods We...
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Veröffentlicht in: | Journal of neuro-oncology 2021-12, Vol.155 (3), p.225-234 |
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Sprache: | eng |
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Zusammenfassung: | Introduction
H3
K27M-mutated diffuse midline gliomas (H3-DMGs) are aggressive tumors with a fatal outcome. This study integrating individual patient data (IPD) from published studies aimed to investigate the prognostic impact of different genetic alterations on survival of these patients.
Methods
We accessed PubMed and Web of Science to search for relevant articles. Studies were included if they have available data of follow-up and additional molecular investigation of H3-DMGs. For survival analysis, Kaplan–Meier analysis and Cox regression models were utilized, and corresponding hazard ratios (HR) and 95% confidence intervals (CI) were computed to analyze the impact of genetic events on overall survival (OS).
Result
We included 30 studies with 669 H3-DMGs.
TP53
mutations were the most common second alteration among these neoplasms. In univariate Cox regression model,
TP53
mutation was an indicator of shortened survival (HR 1.446; 95% CI 1.143–1.829) whereas
ACVR1
(HR 0.712; 95% CI 0.518–0.976) and
FGFR1
mutations (HR 0.408; 95% CI 0.208–0.799) conferred prolonged survival. In addition,
ATRX
loss was also associated with a better OS (HR 0.620; 95% CI 0.386–0.996). Adjusted for age, gender, and tumor location, the presence of
TP53
mutations, the absence of
ACVR1
or
FGFR1
mutations remained significantly poor prognostic factors.
Conclusions
We outlined the prognostic importance of additional genetic alterations in H3-DMGs and recommended that these neoplasms should be further molecularly segregated. This may aid neuro-oncologists in appropriate risk stratification. |
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ISSN: | 0167-594X 1573-7373 |
DOI: | 10.1007/s11060-021-03890-9 |