Comparación de la progresión de la enfermedad desde el diagnóstico de cáncer de próstata hasta el cáncer de próstata

Pedro Costa1, António Patrício2, João Vasco Barreira3

  • 1Urology Department, Vila Nova de Gaia Hospital Center, Vila Nova de Gaia, Portugal.

Cancer medicine
|August 20, 2025
PubMed
Resumen

Los pacientes con cáncer de próstata metastásico resistente al castrado (mCRPC) progresan más rápidamente que los pacientes no metastásicos (nmCRPC). Los mejores factores pronósticos iniciales y la respuesta al tratamiento en nmCRPC pueden explicar la progresión más lenta a la resistencia a la castración.

Videos de Conceptos Relacionados

Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.5K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
445
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
279