Gene expression based profiling of pleomorphic xanthoastrocytoma highlights two prognostic subgroups
Jyotsna Singh1, Iman Dandapath1, Prerana Jha1
1Department of Pathology, All India Institute of Medical Sciences New Delhi, India.
Pleomorphic xanthoastrocytomas (PXA) exhibit distinct molecular subgroups, revealing heterogeneity within tumor grades. Gene expression profiling identified molecular markers that predict recurrence independently of histological grade, offering new therapeutic targets.
Area of Science:
- Neuro-oncology
- Molecular pathology
- Genomics
Background:
- Pleomorphic xanthoastrocytomas (PXA) are rare astrocytomas, predominantly WHO grade II, with a subset progressing to anaplastic (APXA) grade III.
- Limited molecular data exists for PXA and APXA, hindering understanding of their pathogenesis and progression.
Purpose of the Study:
- To investigate the molecular heterogeneity of PXA and APXA using genome-wide expression profiling.
- To identify molecular markers associated with tumor behavior and recurrence.
Main Methods:
- Genome-wide expression profiling via microarray on 14 PXA and 6 APXA samples.
- Validation of differentially expressed genes, including CDK14 and MTFP1, using qRT-PCR.
- Unsupervised hierarchical clustering to identify molecular subgroups.
Main Results:
- Two distinct molecular clusters were identified, with both grade II and III tumors distributed across clusters, indicating molecular heterogeneity.
- Cluster 2 showed significantly worse progression-free survival (P=0.003).
- mRNA profiling predicted recurrence independently of histological grade, BRAF mutation, or CDKN2A deletion status.
Conclusions:
- This study reveals distinct molecular subgroups within PXA, challenging traditional classification.
- Differentially expressed genes may serve as novel biomarkers for prognostication and potential therapeutic targets.
- Findings pave the way for histology-independent classification and targeted therapies for PXA patients.
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