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Transcriptomic heterogeneity in multifocal prostate cancer
Simpa S. Salami, Daniel H. Hovelson, Jeremy B. Kaplan, Romain Mathieu, Aaron M. Udager, Nicole E. Curci, Matthew Lee, Komal R. Plouffe, Lorena Lazo de la Vega, Martin Susani, Nathalie Rioux-Leclercq, Daniel E. Spratt, Todd M. Morgan, Matthew S. Davenport, Arul M. Chinnaiyan, Joanna Cyrta, Mark A. Rubin, Shahrokh F. Shariat, Scott A. Tomlins, Ganesh S. Palapattu
Simpa S. Salami, Daniel H. Hovelson, Jeremy B. Kaplan, Romain Mathieu, Aaron M. Udager, Nicole E. Curci, Matthew Lee, Komal R. Plouffe, Lorena Lazo de la Vega, Martin Susani, Nathalie Rioux-Leclercq, Daniel E. Spratt, Todd M. Morgan, Matthew S. Davenport, Arul M. Chinnaiyan, Joanna Cyrta, Mark A. Rubin, Shahrokh F. Shariat, Scott A. Tomlins, Ganesh S. Palapattu
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Clinical Research and Public Health Oncology

Transcriptomic heterogeneity in multifocal prostate cancer

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Abstract

BACKGROUND. Commercial gene expression assays are guiding clinical decision making in patients with prostate cancer, particularly when considering active surveillance. Given heterogeneity and multifocality of primary prostate cancer, such assays should ideally be robust to the coexistence of unsampled higher grade disease elsewhere in the prostate in order to have clinical utility. Herein, we comprehensively evaluated transcriptomic profiles of primary multifocal prostate cancer to assess robustness to clinically relevant multifocality. METHODS. We designed a comprehensive, multiplexed targeted RNA-sequencing assay capable of assessing multiple transcriptional classes and deriving commercially available prognostic signatures, including the Myriad Prolaris Cell Cycle Progression score, the Oncotype DX Genomic Prostate Score, and the GenomeDX Decipher Genomic Classifier. We applied this assay to a retrospective, multi-institutional cohort of 156 prostate cancer samples. Derived commercial biomarker scores for 120 informative primary prostate cancer samples from 44 cases were determined and compared. RESULTS. Derived expression scores were positively correlated with tumor grade (rS = 0.53–0.73; all P < 0.001), both within the same case and across the entire cohort. In cases of extreme grade-discordant multifocality (co-occurrence of grade group 1 [GG1] and ≥GG4 foci], gene expression scores were significantly lower in low- (GG1) versus high-grade (≥GG4) foci (all P < 0.001). No significant differences in expression scores, however, were observed between GG1 foci from prostates with and without coexisting higher grade cancer (all P > 0.05). CONCLUSIONS. Multifocal, low-grade and high-grade prostate cancer foci exhibit distinct prognostic expression signatures. These findings demonstrate that prognostic RNA expression assays performed on low-grade prostate cancer biopsy tissue may not provide meaningful information on the presence of coexisting unsampled aggressive disease. FUNDING. Prostate Cancer Foundation, National Institutes of Health (U01 CA214170, R01 CA183857, University of Michigan Prostate Specialized Program of Research Excellence [S.P.O.R.E.] P50 CA186786-05, Weill Cornell Medicine S.P.O.R.E. P50 CA211024-01A1), Men of Michigan Prostate Cancer Research Fund, University of Michigan Comprehensive Cancer Center core grant (2-P30-CA-046592-24), A. Alfred Taubman Biomedical Research Institute, and Department of Defense.

Authors

Simpa S. Salami, Daniel H. Hovelson, Jeremy B. Kaplan, Romain Mathieu, Aaron M. Udager, Nicole E. Curci, Matthew Lee, Komal R. Plouffe, Lorena Lazo de la Vega, Martin Susani, Nathalie Rioux-Leclercq, Daniel E. Spratt, Todd M. Morgan, Matthew S. Davenport, Arul M. Chinnaiyan, Joanna Cyrta, Mark A. Rubin, Shahrokh F. Shariat, Scott A. Tomlins, Ganesh S. Palapattu

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Figure 4

Derived prognostic scores are not robust to multifocal prostate cancer with extreme grade differences.

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Derived prognostic scores are not robust to multifocal prostate cancer w...
(A) Derived prognostic scores (mxCCP, mxGPS, mxGC) from all profiled multifocal cases (MF2–8; MF1 in Figure 3) with extreme grade differences (i.e., at least 1 sample each from GG1 and ≥GG4 tumor foci). For each case, profiled samples are indicated by colored points overlying the overall cohort distribution, as in Figure 3C. (B) Histology and mxRNAseq support extreme multifocality in case MF3, which had a large pT3a GG5 index tumor focus (cyan) and a spatially distinct small GG1 focus (focus 5, green). Informative samples from the GG5 (orange) and GG1 (focus 5, green) foci are indicated (as well as a sampled area of normal prostate stroma in gray), with the chart showing sample name, profiled morphologic GG, and TP53 mutation/chromosome [chr] 9p deletion status, along with histopathology of the indicated samples (original magnification, ×4). The morphology and distinct TP53 p.C238Y/9p deletion status support clear multifocality, in addition to the unique T2:ERG isoform expression seen only in the GG1 focus (Figure 3A). (C) Derived prognostic scores are not robust to multifocal prostate cancer with extreme grade differences. Derived prognostic scores from all GG1 samples versus ≥GG4 tumor foci from the 8 multifocal cases with extreme grade group differences shown in Figure 3, A and C, are plotted (2-sample, unpaired 2-sided t test P values are shown).

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