Biomarkers for prostate cancer detection and risk stratification.

Although prostate cancer (PCa) is the most commonly diagnosed cancer in men, most patients do not die from the disease. Prostate specific antigen (PSA), the most widely used oncologic biomarker, has revolutionized screening and early detection, resulting in reduced proportion of patients presenting with advanced disease. However, given the inherent limitations of PSA, additional diagnostic and prognostic tools are needed to facilitate early detection and accurate risk stratification of disease. Serum, urine, and tissue-based biomarkers are increasingly being incorporated into the clinical care paradigm, but there is still a limited understanding of how to use them most effectively. In the current article, we review test characteristics and clinical performance data for both serum [4 K score, prostate health index (phi)] and urine [SelectMDx, ExoDx Prostate Intelliscore, MyProstateScore (MPS), and PCa antigen 3 (PCA3)] biomarkers to aid decisions regarding initial or repeat biopsies as well as tissue-based biomarkers (Confirm MDx, Decipher, Oncotype Dx, and Polaris) aimed at risk stratifying patients and identifying those patients most likely to benefit from treatment versus surveillance or monotherapy versus multi-modal therapy.

The Lack of a Physical Exam During New Patient Telehealth Visits Does Not Impact Plans for Office and Operating Room Procedures.

OBJECTIVE: To understand how the lack of a physical examination during new patient video visits can impact urological surgery planning during the COVID-19 pandemic. METHODS: We retrospectively reviewed 590 consecutive urology patients who underwent new patient video visits from March through May 2020 at a single academic center. Our primary outcome was procedural plan concordance, the proportion of video visit surgical plans that remained the same after the patient was seen in-person, either in clinic or on day of surgery. Median days between video and in-person visits were compared between concordant and discordant cases using the Mann-Whitney U test; P < .05 was significant. RESULTS: Overall, 195 (33%) were evaluated by new patient video visits and had a procedure scheduled, of which, 186 (95%) had concordant plans after in-person evaluation. Further, 99% of plans for in-office procedures and 91% for operating room procedures were unchanged. Four patients (2.1%) had surgical plans altered after changes in clinical course, two (1%) due to additional imaging, and three (1.5%) based on genitourinary examination findings. Days between video visit and in-person evaluation did not differ significantly in concordant cases (median 37.5 [IQR, 16 - 80.5]) as compared to discordant cases (median 58.0 [IQR, 20 - 224]; P = .12). CONCLUSIONS: Most surgical plans developed during new patient video visits remain unchanged after in-person examination. However, changes in clinical course or updated imaging can alter operative plans. Likewise, certain urologic conditions (eg, penile cancer) rely on the genitourinary examination to dictate surgical approach.

Prognostic value of intratumoral lymphocyte-to-monocyte ratio and M0 macrophage enrichment in tumor immune microenvironment of melanoma.

Skin cutaneous melanoma is characterized by significant heterogeneity in its molecular, genomic and immunologic features. Whole transcriptome RNA sequencing data from The Cancer Genome Atlas of skin cutaneous melanoma (n = 328) was utilized. CIBERSORT was used to identify immune cell type composition, on which unsupervised hierarchical clustering was performed. Analysis of overall survival was performed using Kaplan-Meier estimates and multivariate Cox regression analyses. Membership in the lymphocyte:monocytelow, monocytehi gh and M0high cluster was an independently poor prognostic factor for survival (HR: 3.03; 95% CI: 1.12-8.20; p = 0.029) and correlated with decreased predicted response to immune checkpoint blockade. In conclusion, an M0-macrophage-enriched, lymphocyte-to-monocyte-ratio-low phenotype in the primary melanoma tumor site independently characterizes an aggressive phenotype that may differentially respond to treatment.

Tumor Immune Microenvironment Clusters in Localized Prostate Adenocarcinoma: Prognostic Impact of Macrophage Enriched/Plasma Cell Non-Enriched Subtypes.

BACKGROUND: Prostate cancer (PCa) is characterized by significant heterogeneity in its molecular, genomic, and immunologic characteristics. METHODS: Whole transcriptome RNAseq data from The Cancer Genome Atlas of prostate adenocarcinomas (n = 492) was utilized. The immune microenvironment was characterized using the CIBERSORTX tool to identify immune cell type composition. Unsupervised hierarchical clustering was performed based on immune cell type content. Analyses of progression-free survival (PFS), distant metastases, and overall survival (OS) were performed using Kaplan-Meier estimates and Cox regression multivariable analyses. RESULTS: Four immune clusters were identified, largely defined by plasma cell, CD4+ Memory Resting T Cells (CD4 MR), and M0 and M2 macrophage content (CD4 MRHighPlasma CellHighM0LowM2Mid, CD4 MRLowPlasma CellHighM0LowM2Low, CD4 MRHighPlasma CellLowM0HighM2Low, and CD4 MRHighPlasma CellLowM0LowM2High). The two macrophage-enriched/plasma cell non-enriched clusters (3 and 4) demonstrated worse PFS (HR 2.24, 95% CI 1.46-3.45, p = 0.0002) than the clusters 1 and 2. No metastatic events occurred in the plasma cell enriched, non-macrophage-enriched clusters. Comparing clusters 3 vs. 4, in patients treated by surgery alone, cluster 3 had zero progression events (p < 0.0001). However, cluster 3 patients had worse outcomes after post-operative radiotherapy (p = 0.018). CONCLUSION: Distinct tumor immune clusters with a macrophage-enriched, plasma cell non-enriched phenotype and reduced plasma cell enrichment independently characterize an aggressive phenotype in localized prostate cancer that may differentially respond to treatment.