Updates on Immunotherapy and Immune Landscape in Renal Clear Cell Carcinoma.

Several clinicopathological features of clear cell renal cell carcinomas (ccRCC) contribute to make an "atypical" cancer, including resistance to chemotherapy, sensitivity to anti-angiogenesis therapy and ICIs despite a low mutational burden, and CD8+ T cell infiltration being the predictor for poor prognosis-normally CD8+ T cell infiltration is a good prognostic factor in cancer patients. These "atypical" features have brought researchers to investigate the molecular and immunological mechanisms that lead to the increased T cell infiltrates despite relatively low molecular burdens, as well as to decipher the immune landscape that leads to better response to ICIs. In the present study, we summarize the past and ongoing pivotal clinical trials of immunotherapies for ccRCC, emphasizing the potential molecular and cellular mechanisms that lead to the success or failure of ICI therapy. Single-cell analysis of ccRCC has provided a more thorough and detailed understanding of the tumor immune microenvironment and has facilitated the discovery of molecular biomarkers from the tumor-infiltrating immune cells. We herein will focus on the discussion of some major immune cells, including T cells and tumor-associated macrophages (TAM) in ccRCC. We will further provide some perspectives of using molecular and cellular biomarkers derived from these immune cell types to potentially improve the response rate to ICIs in ccRCC patients.

A comprehensive analysis of coregulator recruitment, androgen receptor function and gene expression in prostate cancer.

Standard treatment for metastatic prostate cancer (CaP) prevents ligand-activation of androgen receptor (AR). Despite initial remission, CaP progresses while relying on AR. AR transcriptional output controls CaP behavior and is an alternative therapeutic target, but its molecular regulation is poorly understood. Here, we show that action of activated AR partitions into fractions that are controlled preferentially by different coregulators. In a 452-AR-target gene panel, each of 18 clinically relevant coregulators mediates androgen-responsiveness of 0-57% genes and acts as a coactivator or corepressor in a gene-specific manner. Selectivity in coregulator-dependent AR action is reflected in differential AR binding site composition and involvement with CaP biology and progression. Isolation of a novel transcriptional mechanism in which WDR77 unites the actions of AR and p53, the major genomic drivers of lethal CaP, to control cell cycle progression provides proof-of-principle for treatment via selective interference with AR action by exploiting AR dependence on coregulators.

Gene expression in normal-appearing tissue adjacent to prostate cancers are predictive of clinical outcome: evidence for a biologically meaningful field effect.

PURPOSE: We evaluated gene expression in histologically normal-appearing tissue (NT) adjacent to prostate tumor in radical prostatectomy specimens, assessing for biological significance based on prediction of clinical recurrence (cR - metastatic disease or local recurrence). RESULTS: A total of 410 evaluable patients had paired tumor and NT. Forty-six genes, representing diverse biological pathways (androgen signaling, stromal response, stress response, cellular organization, proliferation, cell adhesion, and chromatin remodeling) were associated with cR in NT (FDR < 20%), of which 39 concordantly predicted cR in tumor (FDR < 20%). Overall GPS and its stromal response and androgen-signaling gene group components also significantly predicted time to cR in NT (RM-corrected HR/20 units = 1.25; 95% CI: 1.01-1.56; P = 0.024). EXPERIMENTAL DESIGN: Expression of 732 genes was measured by quantitative reverse transcriptase polymerase chain reaction (RT-PCR) separately in tumor and adjacent NT specimens from 127 patients with and 374 without cR following radical prostatectomy for T1/T2 prostate cancer. A 17-gene expression signature (Genomic Prostate Score [GPS]), previously validated to predict aggressive prostate cancer when measured in tumor tissue, was also assessed using pre-specified genes and algorithms. Analysis used Cox proportional hazards models, Storey's false discovery rate (FDR) control, and regression to the mean (RM) correction. CONCLUSIONS: Gene expression profiles, including GPS, from NT adjacent to tumor can predict prostate cancer outcome. These findings suggest that there is a biologically significant field effect in primary prostate cancer that is a marker for aggressive disease.

ERG protein expression as a biomarker of prostate cancer.

TMPRSS2-ERG is a recurrent rearrangement specific for prostate cancer, leading to the overexpression of a truncated ERG protein product that is amenable to immunohistochemical detection. Two monoclonal anti-ERG antibodies have currently been validated, with comparable sensitivity and specificity for detecting ERG rearrangement. ERG immunostaining has been applied in different settings to elucidate the role of ERG rearrangement and overexpression in prostate cancer tumorigenesis and progression, as well as to investigate potential diagnostic and prognostic applications. In this article we review the literature on the topic and suggest potential future applications.

ERG gene rearrangement status in prostate cancer detected by immunohistochemistry.

TMPRSS2-ERG, the most common gene fusion in prostate cancer, is associated with expression of a truncated protein product of the oncogene ERG. A novel anti-ERG monoclonal antibody has been recently characterized. We investigated the correlation between ERG rearrangement assessed by fluorescence in situ hybridization (FISH) and ERG expression detected by immunohistochemistry in a large cohort of patients treated with radical prostatectomy for clinically localized prostate cancer. Thirteen tissue microarrays comprising 305 tumors and a subset of 112 samples of nonneoplastic prostatic tissue were assessed for ERG rearrangement status by FISH and for ERG expression by immunohistochemistry. Accuracy of ERG detection by immunohistochemistry in predicting ERG status as assessed by FISH (criterion standard) was calculated in terms of sensitivity, specificity, positive and negative predictive values. Of 305 tumor foci, 103 (34%) showed ERG rearrangement by FISH. ERG was detected by immunohistochemistry in 100 (33%) cases, 99 of which were FISH positive. ERG detection by immunohistochemistry demonstrated a sensitivity and specificity of 96% and 99%, respectively, with positive and negative predictive values of 99% and 98%, respectively. None of the 112 samples of nonneoplastic prostatic tissue was rearranged by FISH or showed any ERG expression. In conclusion, ERG detection by immunohistochemistry in prostate cancer was highly predictive of ERG rearrangement as assessed by FISH in a large cohort of prostatectomy patients. Given the high yield and the easier task of performing immunohistochemistry vs. FISH, ERG assessment by immunohistochemistry may be useful for characterizing ERG status in prostate cancer.

Prostate cancer staging and grading at radical prostatectomy over time.

Prostate-specific antigen (PSA) testing has been associated with a sharp increase in prostate cancer (PCA) detection after its introduction in the late 1980s. Since its launch and its implementation as diagnostic test in 1994, temporal patterns in patients' age and serum PSA level at presentation have changed, with younger patients being diagnosed at lower PSA cutoff levels. Many studies suggest that PSA screening has resulted in a profound downward migration in clinical and pathologic stage of newly diagnosed PCA, although the effect has slowed in the most recent years. The impact on tumor grading is less clear. Histologic grading of PCA, based on the Gleason system, is predictive of the biological behavior and prognosis of the tumor. If tumor progresses from low grade to high grade, the early detection would lead to a higher percentage of low-grade disease diagnosed over time. However, published data suggest that tumor grade shifts have occurred over time and are unlikely to be attributable to changes in tumor biology, but rather to changes in practice with respect to Gleason grading. This review will address PCA staging and grading trends from the pre-PSA era to the present time with emphasis on the potential role played by changes in clinical and pathologic practice.