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RNA-Seq Reveals Differences in Expressed Tumor Mutation Burden in Colorectal and Endometrial Cancers with and without
Margaret A DiGuardo1, Jaime I Davila2, Rory A Jackson1
1Division of Laboratory Genetics and Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
The Journal of Molecular Diagnostics : JMD
|February 7, 2021
Summary
RNA sequencing accurately measures expressed tumor mutation burden (eTMB) in FFPE samples. This method distinguishes microsatellite instability-high (MSI-H) from microsatellite-stable (MSS) tumors, aiding immunotherapy response prediction.
Area of Science:
- Oncology
- Genomics
- Biomarker Discovery
Background:
- Tumor mutation burden (TMB) is a key biomarker for predicting immunotherapy response.
- Accurate TMB measurement is crucial, especially in formalin-fixed paraffin-embedded (FFPE) tissues.
Purpose of the Study:
- To develop and validate a method for measuring expressed TMB (eTMB) using RNA sequencing in FFPE samples.
- To assess the correlation between eTMB and microsatellite instability (MSI) status in colorectal and endometrial cancers.
Main Methods:
- RNA sequencing was performed on FFPE tumor and normal tissue samples from 58 patients (46 MSI-H, 12 MSS).
- A novel method was developed to accurately measure eTMB by removing FFPE-derived artifacts using mutation signatures.
- DNA TMB was compared with eTMB using whole-exome sequencing in a subset of patients.
Main Results:
- A significant difference in median eTMB was observed between MSI-H (27.3 mut/Mb) and MSS (6.7 mut/Mb) tumors (P < 10⁻⁸).
- MSI-H tumors with DNA mismatch-repair mutations showed higher eTMB (28.1 mut/Mb) than those with MLH1 hypermethylation (17.5 mut/Mb) (P = 0.037).
- MSI status, tumor type, and age were significantly associated with eTMB; DNA TMB correlated well with eTMB (Spearman r = 0.83).
Conclusions:
- RNA sequencing provides a reliable method for measuring eTMB in FFPE tumor specimens.
- eTMB measurement can effectively differentiate MSI-H from MSS tumors, supporting its utility as a biomarker.
- This approach has implications for patient stratification and treatment selection in immunotherapy.
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