Seventeen percent of NGS 50 gene panel variants are not expressed in RNAseq.

Authors

null

Razelle Kurzrock

Moores Cancer Center, La Jolla, CA

Razelle Kurzrock , Rahul Parulkar , Timothy Joseph Yeatman , Wafik S. El-Deiry , Timothy J. Pluard , Chad Garner , Sandeep K. Reddy

Organizations

Moores Cancer Center, La Jolla, CA, Nantomics LLC, Santa Cruz, CA, Gibbs Cancer Center and Research Institute, Spartanburg, SC, Fox Chase Cancer Center, Philadelphia, PA, St Luke's Cancer Institute, Kansas City, MO, NantOmics. LLC, Culver City, CA, NantOmics, LLC, Santa Cruz, CA

Research Funding

Pharmaceutical/Biotech Company

Background: Next Generation Sequencing (NGS) has gained widespread clinical adoption for the determination of molecular targets for therapy in oncology. Standard NGS panels evaluate DNA only. RNAseq has shown that molecular targets identified by NGS panels are not universally expressed. We hypothesized that heterogeneous epigenomic factors may lead to low or absent RNA expression. We sought to determine the frequency of non-expressed variants that would be tested by a standard NGS panel. Methods: Retrospective analysis of a database from a commercial DNA tumor:normal and RNAseq platform was carried out. 992 samples were identified with paired DNA(WGS or WES)/RNAseq NGS. An analysis of expressed variant status for SNVs of the following type: synonymous, silent, missense, nonsense. Expressed variants are based on whether at least 2 alternate reads in the RNA are present at that variant site. A 50 gene panel (AmpliSeq HotSpot V2) was used as the reference comparison: ABL1, EGFR, GNAS, KRAS, PTPN11, AKT1, ERBB2, GNAQ, MET, RB1, ALK, ERBB4, HNF1A, MLH1, RET, APC, EZH2, HRAS, MPL, SMAD4, ATM, FBXW7, IDH1, NOTCH1, SMARCB1, BRAF, FGFR1, JAK2, NPM1, SMO, CDH1, FGFR2, JAK3, NRAS, SRC, CDKN2A, FGFR3, IDH2, PDGFRA, STK11, CSF1R, FLT3, KDR, PIK3CA, TP53, CTNNB1, GNA11, KIT, PTEN, VHL Results: A total of 225,727 SNVs were detected in the 992 samples. 669 samples had at least 1 SNV in the 50 gene panel set for a total of 1661 SNVs, of which 1375 SNVs were expressed in the RNAseq (82.8%). Across 37 tumor types the range of expression was 57% (melanoma)-100% (uterine). Conclusions: In this retrospective analysis using a 50 gene commonly used hotspot panel as a hypothetical reference comparison, 17% of detected variants were not expressed in the RNAseq. The lack of RNA expression may contribute to less than expected clinical benefit with molecularly targeted therapies. Since the distribution is non-uniform, identification of these genes can yield improved testing algorithms and treatment strategies.

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Tumor Biology

Track

Tumor Biology

Sub Track

Tumor-Based Biomarkers

Citation

J Clin Oncol 36, 2018 (suppl; abstr 12118)

DOI

10.1200/JCO.2018.36.15_suppl.12118

Abstract #

12118

Poster Bd #

231

Abstract Disclosures

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