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Predictive and prognostic biomarkers in urological tumours

  • Alessia Cimadamore
  • , Carmine Franzese
  • , Carla Di Loreto
  • , Ana Blanca
  • , Antonio Lopez-Beltran
  • , Alessandro Crestani
  • , Gianluca Giannarini
  • , Puay Hoon Tan
  • , Benedito A. Carneiro
  • , Wafik S. El-Deiry
  • , Rodolfo Montironi
  • , Liang Cheng
  • University of Udine
  • S. Maria Della Misericordia Hospital
  • Hospital Universitario Reina Sofía
  • Faculty of Medicine
  • Luma Medical Centre
  • Brown University
  • Marche Polytechnic University

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Advancements in cutting-edge molecular profiling techniques, such as next-generation sequencing and bioinformatic analytic tools, have allowed researchers to examine tumour biology in detail and stratify patients based on factors linked with clinical outcome and response to therapy. This manuscript highlights the most relevant prognostic and predictive biomarkers in kidney, bladder, prostate and testicular cancers with recognised impact in clinical practice. In bladder and prostate cancer, new genetic acquisitions concerning the biology of tumours have modified the therapeutic scenario and led to the approval of target directed therapies, increasing the quality of patient care. Thus, it has become of paramount importance to choose adequate molecular tests, i.e., FGFR screening for urothelial cancer and BRCA1-2 alterations for prostate cancer, to guide the treatment plan for patients. While no tissue or blood-based biomarkers are currently used in routine clinical practice for renal cell carcinoma and testicular cancers, the field is quickly expanding. In kidney tumours, gene expression signatures might be the key to identify patients who will respond better to immunotherapy or anti-angiogenic drugs. In testicular germ cell tumours, the use of microRNA has outperformed conventional serum biomarkers in the diagnosis of primary tumours, prediction of chemoresistance, follow-up monitoring, and relapse prediction.
Original languageEnglish
Pages (from-to)228-238
Number of pages11
JournalPathology
Volume56
Issue number2
DOIs
Publication statusPublished - Mar 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarkers
  • FGFR
  • genomic assays
  • miRNA
  • PARP inhibitors
  • prostate cancer
  • renal cell carcinoma
  • risk assessment
  • testis cancer
  • urothelial cancer

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