Abstract

347 Background: Our ability to distinguish lethal from non-lethal forms of prostate cancer (PC) is limited. Given prostate tumors’ genetic heterogeneity, is it unlikely that a single somatic variant is prognostic. Herein we investigated fraction of genome altered (FGA; percentage of copy number altered chromosome regions out of measured regions; cBioportal) and tumor mutational count (TMC; number of mutational events per case) harbored by the primary tumor as two tumor-specific factors posited to influence disease aggressiveness or responsiveness to certain therapeutic agents. Methods: We used the TCGA data (n= 490 primary PC) and MSKCC-IMPACT (n=717, Zehir et al 2017) PC datasets to analyze the correlation between FGA and TMC in PC. GSEA was performed with transcriptomes used to identify signaling pathways associated with these two measures. We then categorized 490 primary PC patients from TCGA dataset into 4 groups based on FGA and TMC levels (based on the median values) to assess associations with outcomes. Results: Primary PC patients who harbor FGAhighTMClow exhibited shorter disease-free survival (High Risk). We observed attenuation of the androgen signaling pathway and induction of cell proliferation pathways associated with this aggressive form of disease. We used results from CIBERSORT algorithm and deep learning methods of TCGA data and observed that quantities of tumor infiltrating lymphocytes was higher in the FGAhighTMClow group (p=0.038). However, we also observed significantly reduced immune effector signaling-pathway signaling in this high-risk FGAhighTMClow group suggesting the presence of immune-suppressive networks in primary disease associated with a high risk of progression. Conclusions: A greater understanding of molecular features of aggressive primary PC (FGA/TMC) will be important in developing management strategies. Based on our preliminary analyses, we hypothesize that patients whose primary PC harbors FGAhighTMClow have a higher likelihood of aggressive disease due to their impact on PC cell proliferation and dedifferentiation (cell autonomous), and subdued immune responses (non-cell-autonomous).

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