Correction: Pérez et al. Biomarker-Based Nomogram to Predict Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer. Biomedicines 2025, 13, 740.
In the published publication [...].
Published Erratum↗
Biomedical subjects
Antoni Vilaseca
Publications and source records attributed to Antoni Vilaseca.
Non-Cancer Causes of Death in Patients With Metastatic Hormone-Sensitive Prostate Cancer: A Real-World Analysis.
BACKGROUND: As overall survival improves in metastatic hormone-sensitive prostate cancer (mHSPC), non-cancer causes of death are increasingly relevant. METHODS: We conducted a real-world multicenter study of patients diagnosed with mHSPC treated with ADT alone or in combination. Causes of death before progression to castration-resistant prostate cancer (CRPC) were classified as cancer- or non-cancer-related. Deaths were classified as non-cancer-related if they occurred in the absence of cancer progression. RESULTS: Among 565 patients, 35 (6.2%) died from non-cancer-related causes without disease progression, mainly infections (34%) and cardiovascular events (20%). CONCLUSIONS: Non-cancer mortality represents a meaningful proportion of deaths in mHSPC, supporting systematic cardiovascular risk evaluation and infection-prevention strategies.
Humans↗
Biomarker-Based Nomogram to Predict Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer.
Background/Objectives: The aim of this study was to identify response prediction and prognostic biomarkers in muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemotherapy (NAC). Methods: A retrospective multicentre study including 191 patients with MIBC who received NAC previous to radical cystectomy (RC) between 1996 and 2013. Gene expression patterns were analysed in 34 samples from transurethral resection of the bladder (TURB) using Illumina microarrays. The expression levels of 45 selected differentially expressed genes between responders and non-responders to NAC were validated by quantitative PCR in an independent cohort of 157 patients. Regression analysis was used to identify predictors of downstaging and relapse. A nomogram for predicting downstaging and relapse-including clinicopathological and gene expression variables-was developed. Results: The expression levels of 1352 transcripts differed between responders and non-responders to NAC. A nomogram based on the most predictive clinical variables (age, Tis (in situ), gender, history of NMIBC, and lymphadenopathy) and genes selected following the Akaike information criterion (AIC) (CBTB16, CHMP6, DDX54, CASP8, LOR, and PLEC) was then created. In addition, a three-gene expression prognostic model to predict tumour relapse was generated. This model was able to discriminate between two groups of patients with a significantly different probability of tumour relapse (HR: 2.11; CI: 1.16-3.83, p = 0.01). Conclusions: Our nomogram based on gene expression and clinical data is a useful tool to predict downstaging and tumour relapse after NAC in MIBC patients. Further validation is warranted.
bladder cancer↗