Intra-individual tumor heterogeneity may reduce the efficacy of molecularly guided systemic therapy for cancers that have metastasized. To determine whether the genomic alterations in a single metastasis provide a reasonable assessment of the major oncogenic drivers of other dispersed metastases within an individual, we analyzed multiple tumors from men with disseminated prostate cancer by whole exome sequencing, array CGH and RNA transcript profiling and compared the genomic diversity within and between individuals. In contrast to substantial heterogeneity between men, there was limited diversity comparing metastases within an individual. Numbers of somatic mutations, the burden of genomic copy number alterations, and aberrations in known oncogenic drivers were highly concordant as were metrics of androgen receptor (AR) activity and cell cycle activity. AR activity inversely associated with cell proliferation, whereas the expression of Fanconi anemia (FA) complex genes correlated with elevated cell cycle progression, E2F1 expression and RB1 loss. Men with somatic aberrations in FA complex genes or ATM exhibited significantly longer treatment response durations to carboplatin compared to men without defects in genes encoding DNA repair proteins. Collectively, these data indicate that though exceptions exist, evaluating a single metastasis provides a reasonable assessment of the major oncogenic driver alterations present in disseminated tumors within an individual, and may be useful for selecting treatments based on predicted molecular vulnerabilities.

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Background Metastatic prostate cancer is a common and lethal disease for which there are no therapies that produce cures or long-term durable remissions. Clinically relevant preclinical models are needed to increase our understanding of the biology of this malignancy and to evaluate new agents that might provide effective treatment. Our objective was to establish and characterize patient-derived xenografts (PDXs) from advanced prostate cancer (PC) to investigation of biology and evaluation of new treatment modalities. Methods Samples of advanced PC obtained from surgery or from metastases collected at time of death were implanted into immunocompromised mice to establish PDXs. Established LuCaP PDXs were propagated in vivo. Genomic, transcriptomic and STR profiles were generated. Responses to androgen deprivation and docetaxel in vivo were characterized. Results We established multiple PDXs (LuCaP series), which represent the major genomic and phenotypic features of the disease in humans, including amplification of androgen receptor, PTEN deletion, TP53 deletion and mutation, RB1 loss, and TMPRSS2-ERG rearrangements, SPOP mutation, hypermutation due to MSH2/MSH6 genomic aberrations, and BRCA2 loss. The PDX models also exhibited variation in intra-tumoral androgen levels. Our in vivo results show heterogeneity of response to androgen deprivation and docetaxel, standard therapies for advanced PC, similar to the responses of patients to these treatments. Conclusions The LuCaP PDX series reflects the diverse molecular composition of human castration-resistant PC and allows for hypothesis-driven cause-and-effect studies of mechanisms underlying treatment response and resistance.

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Prostate Cancer Early Detection provide recommendations for prostate cancer screening in healthy men who have elected to participate in an early detection program. The NCCN Guidelines focus on minimizing unnecessary procedures and limiting the detection of indolent disease. These NCCN Guidelines Insights summarize the NCCN Prostate Cancer Early Detection Panel's most significant discussions for the 2016 guideline update, which included issues surrounding screening in high-risk populations (ie, African Americans, BRCA1/2 mutation carriers), approaches to refine patient selection for initial and repeat biopsies, and approaches to improve biopsy specificity.

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Adenocarcinomas of the prostate can be categorized into tumor grades based on the extent to which the cancers histologically resemble normal prostate glands. Because grades are surrogates of intrinsic tumor behavior, characterizing the molecular phenotype of grade is of potential clinical importance. To identify molecular alterations underlying prostate cancer grades, we used microdissection to obtain specific cohorts of cancer cells corresponding to the most common Gleason patterns (patterns 3, 4, and 5) from 29 radical prostatectomy samples. We paired each cancer sample with matched benign lumenal prostate epithelial cells and profiled transcript abundance levels by microarray analysis. We identified an 86-gene model capable of distinguishing low-grade (pattern 3) from high-grade (patterns 4 and 5) cancers. This model performed with 76% accuracy when applied to an independent set of 30 primary prostate carcinomas. Using tissue microarrays comprising >800 prostate samples, we confirmed a significant association between high levels of monoamine oxidase A expression and poorly differentiated cancers by immunohistochemistry. We also confirmed grade-associated levels of defender against death (DAD1) protein and HSD17␤4 transcripts by immunohistochemistry and quantitative RT-PCR, respectively. The altered expression of these genes provides functional insights into grade-associated features of therapy resistance and tissue invasion. Furthermore, in identifying a profile of 86 genes that distinguish high-from low-grade carcinomas, we have generated a set of potential targets for modulating the development and progression of the lethal prostate cancer phenotype.carcinoma ͉ monoamine oxidase A ͉ microarray ͉ expression profile

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