A Multicenter Evaluation of Treatment-associated Changes in Body Composition in Men With Germ Cell Tumors of the Testis: Implications for Adverse Events and Complications.

OBJECTIVE: To characterize changes in body composition following cytotoxic chemotherapy for germ cell carcinoma of the testis (GCT) and quantify associations between body composition metrics and chemotherapy-associated adverse events (AEs) and post-retroperitoneal lymph node dissection (RPLND) complications. MATERIALS AND METHODS: This retrospective multi-center study included 216 men with GCT treated with cytotoxic chemotherapy and/or RPLND (2005-2020). We measured body composition including skeletal muscle (SMI), visceral adipose (VAI,), subcutaneous adipose (SAI), and fat mass (FMI) indices on computed tomography. We quantified chemotherapy-associated changes in body composition and evaluated associations between body composition and incidence of grade 3 + AEs and post-RPLND complications on multivariable logistic regression analyses. RESULTS: One hundred and eighty-two men received a median of 3 cycles of cisplatin-based chemotherapy. Following chemotherapy, median change in SMI was -6% (P = <.0001), while VAI, SAI, and FMI increased by +13% (P = <.0001), +11% (P = <.0001), and +6% (P = <.0001), respectively. Seventy-nine patients (43%) experienced at least one grade 3 + AE. A decrease in SMI following chemotherapy was associated with increased risk of grade 3 + AEs (P = .047). One hundred and 3 men with a median age of 28.5 years (IQR 23-35.5) underwent RPLND of whom 22 (21.3%) experienced at least 1 grade 3 + post-RPLND complication. No baseline body composition metrics were associated with post-RPLND complications. CONCLUSION: In men with GCT of the testis, chemotherapy was associated with 6% loss of lean muscle mass and gains in adiposity. Lower skeletal muscle was associated with a higher incidence of chemotherapy-associated AEs. Body composition was not associated with the incidence of post-RPLND complications.

Prostate specific antigen and acinar density: a new dimension, the "Prostatocrit"

ABSTRACT Background Prostate-specific antigen densities have limited success in diagnosing prostate cancer. We emphasise the importance of the peripheral zone when considered with its cellular constituents, the “prostatocrit”. Objective Using zonal volumes and asymmetry of glandular acini, we generate a peripheral zone acinar volume and density. With the ratio to the whole gland, we can better predict high grade and all grade cancer. We can model the gland into its acinar and stromal elements. This new “prostatocrit” model could offer more accurate nomograms for biopsy. Materials and Methods 674 patients underwent TRUS and biopsy. Whole gland and zonal volumes were recorded. We compared ratio and acinar volumes when added to a “clinic” model using traditional PSA density. Univariate logistic regression was used to find significant predictors for all and high grade cancer. Backwards multiple logistic regression was used to generate ROC curves comparing the new model to conventional density and PSA alone. Outcome and results Prediction of all grades of prostate cancer: significant variables revealed four significant “prostatocrit” parameters: log peripheral zone acinar density; peripheral zone acinar volume/whole gland acinar volume; peripheral zone acinar density/whole gland volume; peripheral zone acinar density. Acinar model (AUC 0.774), clinic model (AUC 0.745) (P=0.0105). Prediction of high grade prostate cancer: peripheral zone acinar density (“prostatocrit”) was the only significant density predictor. Acinar model (AUC 0.811), clinic model (AUC 0.769) (P=0.0005). Conclusion There is renewed use for ratio and “prostatocrit” density of the peripheral zone in predicting cancer. This outperforms all traditional density measurements.