Underlying Features of Prostate Cancer-Statistics, Risk Factors, and Emerging Methods for Its Diagnosis

Curr Oncol. 2023 Feb 15;30(2):2300-2321. doi: 10.3390/curroncol30020178.

Abstract

Prostate cancer (PCa) is the most frequently occurring type of malignant tumor and a leading cause of oncological death in men. PCa is very heterogeneous in terms of grade, phenotypes, and genetics, displaying complex features. This tumor often has indolent growth, not compromising the patient's quality of life, while its more aggressive forms can manifest rapid growth with progression to adjacent organs and spread to lymph nodes and bones. Nevertheless, the overtreatment of PCa patients leads to important physical, mental, and economic burdens, which can be avoided with careful monitoring. Early detection, even in the cases of locally advanced and metastatic tumors, provides a higher chance of cure, and patients can thus go through less aggressive treatments with fewer side effects. Furthermore, it is important to offer knowledge about how modifiable risk factors can be an effective method for reducing cancer risk. Innovations in PCa diagnostics and therapy are still required to overcome some of the limitations of the current screening techniques, in terms of specificity and sensitivity. In this context, this review provides a brief overview of PCa statistics, reporting its incidence and mortality rates worldwide, risk factors, and emerging screening strategies.

Keywords: biomarkers; incidence; mortality; prostate cancer; risk factors.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Early Detection of Cancer
  • Humans
  • Male
  • Prostate-Specific Antigen*
  • Prostatic Neoplasms* / therapy
  • Quality of Life
  • Risk Factors

Substances

  • Prostate-Specific Antigen

Grants and funding

This work was supported by FCT-Fundação para a Ciência e a Tecnologia through the CQM Base Fund UIDB/00674/2020 and Programmatic Fund UIDP/00674/2020, and by ARDITI-Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação through the project M1420-01-0145-FEDER-000005-Centro de Química da Madeira-CQM+ (Madeira 14-20 Program). Jorge A. M. Pereira was supported by a post-doctoral fellowship given by ARDITI (Project M1420-09-5369-FSE-000001), and Cristina V. Berenguer acknowledges Núcleo Regional da Madeira da Liga Portuguesa contra o Cancro (LPCC-NRM) and Bolsa Rubina Barros for the support of this project. The authors also acknowledge the financial support from Fundação para a Ciência e Tecnologia and Madeira 14-2020 program given to the Portuguese Mass Spectrometry Network through the PROEQUIPRAM program, M14-20 M1420-01-0145-FEDER-000008.