Association of whole blood mRNA expression and overall survival (OS) in metastatic castrate resistant prostate cancer (mCRPC).

Authors

null

Akeem Ronell Lewis

Mayo Clinic Department of Internal Medicine, Rochester, MN

Akeem Ronell Lewis , Carlos Sosa , Olivia Bobek , David W. Hillman , Brian Addis Costello , Fernando Quevedo , Lance C. Pagliaro , Richard M. Weinshilboum , Junmei Cairns , Leiwei Wang , Krishna Rani Kalari , Manish Kohli , Winston Tan , Karthik Giridhar

Organizations

Mayo Clinic Department of Internal Medicine, Rochester, MN, Mayo Clinic, Rochester, MN, Mayo Clinic Alliance Statistics and Data Center, Rochester, MN, Salt Lake City, UT, Mayo Clinic, Jacksonville, FL

Research Funding

Pharmaceutical/Biotech Company
Janssen R&D, LLC

Background: Previous studies have evaluated peripheral whole blood mRNA to identify prognostic biomarkers in metastatic prostate cancer, with no consistent genes of prognostic significance between studies and sample collection done at various points of therapy. We aim to identify the prognostic value of 20 previously identified genes in patients mCRPC from a prospective clinical trial. Methods: Between June 2013 and August 2015, whole blood was prospectively collected in PAXgene RNA tubes from 92 men with mCRPC (NCT01953640). Gene expression from samples with RIN > 4.0 were quantified using a customized NanoString CodeSet of 20 candidate genes (C1QA, MCM2, STOM, GABARAPL2, R10K3, HMBS, TFDP1, CDKN1A, ITGAL, TMCC2, TERF2IP, MMP9, SNCA, TIMP1, SLC4A1, SELENBP1, TMEM66, SEMA4D, PROS1, CD22). The raw data from the nCounter Analysis system were normalized to the positive controls and log2 transformed. Univariable Cox proportional hazards models were performed on each target gene sufficiently above negative control (5 times the maximum value of the negative control) to evaluate associations with overall survival (OS). For each gene we considered a linear, quadratic, or categorical model with quantile cutpoints. Categorical models with cutpoints at the 25th percentile for the genes CD22, GABARAPL2, R10K3, and STOM were used as there was a nonlinear relationship between gene expression and death hazard. The remaining genes were modeled with a linear model. Findings were considered statistically significant based on p-values adjusted using the Holm-Bonferroni correction. Results: 18/20 genes were identified and passed quality control (QC) measures, which excluded C1QA and MCM2. 72/92 men had an evaluable pretreatment specimen that passed QC. The median age was 72 years. The study cohort was evenly balanced in terms of Gleason score ( < = 7 v. > 7) and 60% had high volume disease. The median follow-up time was 5.73 years (IQR: 5.39, 6.49) and 58 patients had died. Of the 18 genes evaluated, STOM (Stomatin) [hazard ratio (HR) 3.00, adjusted p = 0.007] and GABARAPL2 (GABA Type A Receptor Associated Protein Like 2) [HR 2.62, adjusted p = 0.033] were significantly associated with overall survival in univariate analysis. In multivariate analysis, after adjusting for volume of metastatic disease and Gleason score, STOM [HR 2.89, adjusted p = 0.014] was significantly associated with overall survival. Conclusions: Elevated whole blood mRNA expression of STOM is adversely associated with OS in mCRPC. Further studies investigating elucidating the molecular significance of STOM in mCRPC are planned. Clinical trial information: NCT01953640.

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Abstract Details

Meeting

2023 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Prostate Cancer

Track

Prostate Cancer - Advanced,Prostate Cancer - Localized

Sub Track

Translational Research, Tumor Biology, Biomarkers, and Pathology

Clinical Trial Registration Number

NCT#01953640

Citation

J Clin Oncol 41, 2023 (suppl 6; abstr 201)

DOI

10.1200/JCO.2023.41.6_suppl.201

Abstract #

201

Poster Bd #

G12

Abstract Disclosures

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