The association between MGMT expression and outcome in H3 G34-mutant diffuse hemispheric glioma is robust to adjustment for pre-analytic and technical variables - Summary - MDSpire
Conexiant’s news site is now MDSpire News. Learn more
Advertisement
The link between MGMT expression and outcomes in H3 G34-mutant diffuse hemispheric glioma persists after accounting for pre-analytic and technical factors
To assess whether pre-analytic or technical factors explain the reported association between MGMT expression and outcomes in H3 G34-mutant diffuse hemispheric glioma (DHG), and the association between MGMT expression and DNA methylation.
Approach:
RNA-seq cohort and processing: Reanalyzed RNA-seq data from 110 tumors, all centrally sequenced at St. Jude on NovaSeq 6000. Applied TMM normalization, log2 CPM transformation, and limma batch correction; assessed collection year, preservation method, data release year, and tumor content.
Outcome analysis: In the 25 patients from the initial report, evaluated continuous MGMT expression and outcomes after adjustment for each of the four factors.
Methylation analysis: In 34 tumors with expression and methylation data, assessed associations at selected CpG sites before and after accounting for the four factors.
Key Findings:
Batch correction removed the association between principal components and data release year. Four low-complexity FFPE samples and one fresh/frozen sample remained outliers; excluding them did not change subsequent results.
Raw-count correlations between MGMT and CD34 or ACTB were weaker than those reported in the reanalysis cited by the authors, and were eliminated after correction.
After adjustment for each assessed factor, higher continuous MGMT expression remained associated with shorter progression-free survival (HR 1.64 per doubling; 95% CI 1.20–2.24; p = 0.002) and overall survival (HR 3.00; 95% CI 1.73–5.21; p < 0.001).
None of the four factors was significantly associated with MGMT expression, progression-free survival, or overall survival in the reported analyses. Preservation method was not associated with expression (p = 0.71), though only five tumors were fresh/frozen.
MGMT expression remained positively associated with methylation at three gene-body/intronic CpGs after adjustment (partial Spearman ρ = 0.58, 0.78, and 0.75; all p < 0.001); promoter CpGs showed negative correlations.
Interpretation:
The authors report that the MGMT–outcome association persisted after accounting for the assessed pre-analytic and technical factors. They note that correlation does not establish regulation of MGMT by gene-body methylation.
Limitations:
The outcome analysis included 25 patients, and the methylation analysis included 34 tumors.
Only five tumors were fresh/frozen, limiting assessment of preservation-method differences.
The study is retrospective; the authors state that MGMT expression requires validation in larger, prospective cohorts before guiding therapy.
Low-complexity libraries remained outliers after correction, according to the authors.
Conclusion:
The authors state that their findings uphold the initial conclusions and recommend documenting pre-analytic variables, normalizing and correcting batch effects, excluding low-complexity libraries, testing whether adjustment changes marker–outcome associations, and confirming key results with an independent assay.