Your browser doesn't support javascript.
loading
Precision medicine for urothelial carcinoma: An international perspective.
Fontes, Mariane S; de Almeida, Daniel Vargas Pivato; Cárcano, Flavio; Lages, Paulo; Dienstmann, Rodrigo.
Afiliação
  • Fontes MS; Division of Genitourinary Medical Oncology, Oncoclínicas, Rio de Janeiro, Brazil; LAGOG-Latin American Cooperative Oncology Group, Porto Alegre, Brazil. Electronic address: Mariane.fontes@medicos.oncoclinicas.com.
  • de Almeida DVP; Division of Genitourinary Medical Oncology, Oncoclínicas, Brasília, Brazil; LAGOG-Latin American Cooperative Oncology Group, Porto Alegre, Brazil.
  • Cárcano F; Division of Genitourinary Medical Oncology, Oncoclínicas, Belo Horizonte, Brazil; Research and Teaching Institute, Barretos Cancer Hospital, Barretos, Brazil.
  • Lages P; Division of Genitourinary Medical Oncology, Oncoclínicas, Brasília, Brazil; LAGOG-Latin American Cooperative Oncology Group, Porto Alegre, Brazil.
  • Dienstmann R; Oncoclinicas Precision Medicine, São Paulo, Brazil.
Urol Oncol ; 2024 Jan 12.
Article em En | MEDLINE | ID: mdl-38218630
ABSTRACT
The treatment landscape of urothelial cancers has evolved in the last decade with the approval of chemotherapy, immune checkpoint inhibitors, targeted therapies, and antibody drug conjugates. Although improvements in response and survival have been achieved with these strategies, in some scenarios their benefit is still questionable. Current efforts to identify prognostic and predictive biomarkers are crucial for better patient selection and treatment outcomes. In this paper we will review the most promising biomarkers under investigation, such as molecular classifiers, genomic alterations, programmed cell death ligand 1 expression, tumor mutational burden, circulating tumor DNA, urinary biomarkers among others, for muscle invasive bladder cancer and metastatic urothelial cancers. Deeper understanding of these biomarkers will aid clinical decision-making and help tailor treatment strategies.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article