Characterization of prostate cancer in transgender women

Background: The risk of developing prostate cancer (PC) in transgender women is unknown. Many patients are unaware that the prostate is not removed during male-to-female surgical transition. It is unclear what the exposure of estrogens and androgen blockers in these transgender patients has on the prostate. Our aim was to examine and characterize the different presentations of PC in published cases and augment this with an additional case series from one institute. Methods: A retrospective review of prospectively maintained medical records was performed identifying features of PC diagnoses in transgender women. These included age, duration of feminizing hormone therapy, PSA values at time of diagnosis, Gleason grade, and M stage. These were compared with a series of published cases of PC in transgender women, compiled after a systematic literature review using PubMed to review all literature in the English language reporting a case of prostate cancer in a transgender woman, published between January 1st, 1971 and December 31st, 2021. The review was conducted in accordance with PRISMA guidelines. The keywords used included “prostate cancer,” “transgender,” “transsexual,” “trans,” “male-to-female,” “Gleason score,” and “prostatectomy.” Results: We identified thirteen cases of PC in transgender women; eleven from published cases from 19752021 and two from our database. Several differences were identified between the published cases from the last 50 years and the two from our contemporary database: The average age in each group was 64 and 56, average duration on therapy was 22 years and 5.5 years, PSA values were 61.54 ng/dL and 1.4 ng/dL, and median Gleason grades were 8 and 6, respectively. Of the 9 published cases which discussed metastases, 6 (67%) had metastatic disease on presentation compared to 0% in the contemporary cohort. Conclusions There is a paucity of data describing the risk of prostate cancer in transgender women. The current published data available to inform clinical practice is predominantly comprised of case reports, many of which are dated. Historically, patients present with advanced disease when compared to their recent counterparts, which may be explained by a variety of biopsychosocial factors. There is a need for contemporary data to inform and formalize standards for screening, diagnosis, and treatment within this group

The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate Cancer: Development of a Risk Predictive Tool and Validation with Advanced Neural Networking, Prostate Magnetic Resonance Imaging Outcome Database, and European Randomized Study of Screening for Prostate Cancer Risk Calculator

Background: The European Association of Urology guidelines recommend the use of imaging, biomarkers, and risk calculators in men at risk of prostate cancer. Risk predictive calculators that combine multiparametric magnetic resonance imaging with prebiopsy variables aid as an individualized decision-making tool for patients at risk of prostate cancer, and advanced neural networking increases reliability of these tools.Objective: To develop a comprehensive risk predictive online web-based tool using magnetic resonance imaging (MRI) and clinical data, to predict the risk of any prostate cancer (PCa) and clinically significant PCa (csPCa) applicable to biopsy-naive men, men with a prior negative biopsy, men with prior positive low-grade cancer, and men with negative MRI.Design, setting, and participants: Institutional review board-approved prospective data of 1902 men undergoing biopsy from October 2013 to September 2021 at Mount Sinai were collected.Outcome measurements and statistical analysis: Univariable and multivariable analyses were used to evaluate clinical variables such as age, race, digital rectal examination, family history, prostate-specific antigen (PSA), biopsy status, Prostate Imaging Reporting and Data System score, and prostate volume, which emerged as predictors for any PCa and csPCa. Binary logistic regression was performed to study the probability. Validation was performed with advanced neural networking (ANN), multi-institutional European cohort (Prostate MRI Outcome Database [PROMOD]), and European Randomized Study of Screening for Prostate Cancer Risk Calculator (ERSPC RC) 3/4.Results and limitations: Overall, 2363 biopsies had complete clinical information, with 57.98% any cancer and 31.40% csPCa. The prediction model was significantly associated with both any PCa and csPCa having an area under the curve (AUC) of 81.9% including clinical data. The AUC for external validation was calculated in PROMOD, ERSPC RC, and ANN for any PCa (0.82 vs 0.70 vs 0.90) and csPCa (0.82 vs 0.78 vs 0.92), respectively. This study is limited by its retrospective design and over-estimation of csPCa in the PROMOD cohort.Conclusions: The Mount Sinai Prebiopsy Risk Calculator combines PSA, imaging and clinical data to predict the risk of any PCa and csPCa for all patient settings. With accurate validation results in a large European cohort, ERSPC RC, and ANN, it exhibits its efficiency and applicability in a more generalized population. This calculator is available online in the form of a free web-based tool that can aid clinicians in better patients counseling and treatment decision-making.Patient summary: We developed the Mount Sinai Prebiopsy Risk Calculator (MSP-RC) to assess the likelihood of any prostate cancer and clinically significant disease based on a combination of clinical and imaging characteristics. MSP-RC is applicable to all patient settings and accessible online. Crown Copyright (C) 2022 Published by Elsevier B.V. on behalf of European Association of Urology.</p

Embryonal rhabdomyosarcoma of the testis

Rhabdomyosarcoma (RMS), arising from mesenchymal cells, is the most common soft tissue tumour in children and accounts for up to half of all sarcomas. We present the case of a 33-year-old male presented to the urology department of the University College Hospital Galway (Ireland) in March 2009 with a 2-month history of a left scrotal swelling, increasing in size

External evaluation of a novel prostate cancer risk calculator (ProstateCheck) based on data of the Swiss arm of the ERSPC

PURPOSE: To externally validate a novel prostate cancer (PCa) risk-calculator (RC), based on data of the Swiss arm of the European Randomize Study of Screening for Prostate Cancer (ERSPC), and to assess whether the RC (ProstateCheck) is superior to the PCPT RC and SWOP RC in an independent Swiss cohort. MATERIALS AND METHODS: Data of all men who underwent prostate biopsy in an academic tertiary care center between 2004 and 2012 were retrospectively analyzed. The probability of having any PCa or high-grade PCa (Gleason score ≥7) upon prostate biopsy was calculated using the ProstateCheck-RC. The RC's performance was assessed using calibration and discrimination and additionally compared with the PCPT- and SWOP-RC by decision curve analyses. RESULTS: Of 1615 men, 401 (25%) were diagnosed with any PCa and 196 (12%) with high-grade PCa. Our analyses of the ProstateCheck-RC revealed good calibration in the low risk range (0 to 0.4) and moderate overestimation in the higher risk range (0.4 to 1) for any and high-grade PCa. The AUC for the discrimination of any PCa and high-grade PCa was 0.69 and 0.72, respectively, which was slightly but significantly higher compared to the PCPT-RC (0.66 and 0.69, respectively) and SWOP-RC (0.64 and 0.70, respectively). Decision analysis taking into account the harms of transrectal ultrasound measurements of prostate volume, found little benefit for ProstateCheck-RC, with inferior properties to the PCPT- and SWOP-RC. CONCLUSION: Our independent external evaluation revealed moderate performance of the ProstateCheck-RC. Its clinical benefit is limited and inferior to the PCPT- and SWOP-RC

Exosomes as A Next-Generation Diagnostic and Therapeutic Tool in Prostate Cancer

Extracellular vesicles (EVs) have brought great momentum to the non-invasive liquid biopsy procedure for the detection, characterization, and monitoring of cancer. Despite the common use of PSA (prostate-specific antigen) as a biomarker for prostate cancer, there is an unmet need for a more specific diagnostic tool to detect tumor progression and recurrence. Exosomes, which are EVs that are released from all cells, play a large role in physiology and pathology, including cancer. They are involved in intercellular communication, immune function, and they are present in every bodily fluid studied—making them an excellent window into how cells are operating. With liquid biopsy, EVs can be isolated and analyzed, enabling an insight into a potential therapeutic value, serving as a vehicle for drugs or nucleic acids that have anti-neoplastic effects. The current application of advanced technology also points to higher-sensitivity detection methods that are minimally invasive. In this review, we discuss the current understanding of the significance of exosomes in prostate cancer and the potential diagnostic value of these EVs in disease progression

A Decision Aide for the Risk Stratification of GU Cancer Patients at Risk of SARS-CoV-2 Infection, COVID-19 Related Hospitalization, Intubation, and Mortality

Treatment decisions for both early and advanced genitourinary (GU) malignancies take into account the risk of dying from the malignancy as well as the risk of death due to other causes such as other co-morbidities. COVID-19 is a new additional and immediate risk to a patient&rsquo;s morbidity and mortality and there is a need for an accurate assessment as to the potential impact on of this syndrome on GU cancer patients. The aim of this work was to develop a risk tool to identify GU cancer patients at risk of diagnosis, hospitalization, intubation, and mortality from COVID-19. A retrospective case showed a series of GU cancer patients screened for COVID-19 across the Mount Sinai Health System (MSHS). Four hundred eighty-four had a GU malignancy and 149 tested positive for SARS-CoV-2. Demographic and clinical variables of &gt;38,000 patients were available in the institutional database and were utilized to develop decision aides to predict a positive SARS-CoV-2 test, as well as COVID-19-related hospitalization, intubation, and death. A risk tool was developed using a combination of machine learning methods and utilized BMI, temperature, heart rate, respiratory rate, blood pressure, and oxygen saturation. The risk tool for predicting a diagnosis of SARS-CoV-2 had an AUC of 0.83, predicting hospitalization for management of COVID-19 had an AUC of 0.95, predicting patients requiring intubation had an AUC of 0.97, and for predicting COVID-19-related death, the risk tool had an AUC of 0.79. The models had an acceptable calibration and provided a superior net benefit over other common strategies across the entire range of threshold probabilities

Increased Hospitalization and Mortality from COVID-19 in Prostate Cancer Patients

Background: Cancer patients with COVID-19 have a poor disease course. Among tumor types, prostate cancer and COVID-19 share several risk factors, and the interaction of prostate cancer and COVID-19 is purported to have an adverse outcome. Methods: This was a single-institution retrospective study on 286,609 patients who underwent the COVID-19 test at Mount Sinai Hospital system from March 2020 to December 2020. Chi-square/Fisher’s exact tests were used to summarize baseline characteristics of categorical data, and Mann–Whitney U test was used for continuous variables. Univariable logistic regression analysis to compare the hospitalization and mortality rates and the strength of association was obtained by the odds ratio and confidence interval. Results: This study aimed to compare hospitalization and mortality rates between men with COVID-19 and prostate cancer and those who were COVID-19-positive with non-prostate genitourinary malignancy or any solid cancer, and with breast cancer patients. We also compared our studies to others that reported the incidence and severity of COVID-19 in prostate cancer patients. Our studies highlight that patients with prostate cancer had higher susceptibility to COVID-19-related pathogenesis, resulting in higher mortality and hospitalization rates. Hospitalization and mortality rates were higher in prostate cancer patients with COVID-19 when compared with COVID-19 patients with non-prostate genitourinary (GU) malignancies

Nutritional assessment in surgical oncology:An ESSO-EYSAC global survey

Introduction: The majority of cancer patients report malnutrition, with a significant impact on patient's outcome. This study aimed to compare how nutritional assessment is conducted across different surgical oncology sub-specialties.Methods: Survey modules were designed for breast, hepato-pancreato-biliary (HPB), upper-gastrointestinal (UGI), sarcoma, peritoneal and surface malignancies (PSM) and colorectal cancer (CRC) surgeries to describe 4 domains: participants' setting, evaluation of clinical factors, use of screening tools and clinical practice. Results were compared among sub-specialties and according to human development index (HDI) in the largest cohorts.Results: Out of 457 answers from 377 global participants (62% European), 35.0% were from breast and 28.9% were from CRC surgeons. Although MDTs management is consistently reported (64-88%), the presence of a nutritionist/dietician ranges from 14.1% to 44.2%. Breast surgeons seldom evaluate albumin (25.6%) and weight loss (30.6%), opposite to HPB, PSM and UGI groups (&gt;70%, p 0.044). Overall, responders declared that the use of screening tools is largely neglected, that nutritional status is often assessed by the surgeons and that nutrition is not consistently modified according to risk factors (range among groups respectively: 1.9%-25.6%, 33.1%-51.4%, 33.1%-60.5%). Less than 20% of breast surgeons assess patients before/after surgery, comparing to &gt;60% of PSM surgeons. However, no statistical differences were documented comparing groups for the majority of the items of the 4 domains. Nutritional evaluation is more often conducted by breast surgeons in medium/low HDI countries comparing very high/high HDI (p 0.04).Conclusions: Nutritional assessment is largely neglected. These results identify target-issues for the implementation of clinical practice. (C) 2020 Elsevier Ltd, BASO similar to The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.</p

The analysis of serum response factor expression in bone and soft tissue prostate cancer metastases

Castration-resistant prostate cancer (CRPC) represents a challenge to treat with no effective treatment options available. We recently identified serum response factor (SRF) as a key transcription factor in an in vitro model of castration resistance where we showed that SRF inhibition resulted in reduced cellular proliferation. We also demonstrated an association between SRF protein expression and CRPC in a cohort of castrate-resistant transurethral resections of the prostate (TURPS). The mechanisms regulating the growth of CRPC bone and visceral metastases have not been explored in depth due to the paucity of patient-related material available for analysis. In this study, we aim to evaluate SRF protein expression in prostate cancer (PCa) metastases, which has not previously been reported.European Commission - Seventh Framework Programme (FP7)Science Foundation IrelandMolecular Therapeutics for Cancer IrelandMarie Curie (FP-7) Industry-Academia Partnerships and Pathways under the “FAST-PATH” progra