Understanding prostate carcinogenesis is crucial not only for identifying new treatment targets but also for developing effective strategies to manage the asymptomatic form of the disease. There is a lack of consensus about predicting the indolent form of the disease prostate cancer, leading to uncertainties regarding treatment initiation. This review aims to enhance the assessment and management of early prostate cancer by providing a comprehensive picture of the molecular anatomy of the prostate, synthesising current evidence, highlighting knowledge gaps, and identifying future directions. It presents evidence for the efficacy of active surveillance as an alternative treatment strategy and its potential benefits in specific patient groups through androgen receptor disruption. Overall, an improved understanding of prostate carcinogenesis and its molecular underpinnings can pave the way for tailored and precise management approaches for this common cancer. Further development and validation of molecule-based assessment tools are needed. Integrating genomic, proteomic, and phenotypic models, as well as functional approaches, can help predict outcomes. This facilitates selecting candidates for active surveillance and targeting interventions for higher-risk cases, contributing to more precise management strategies.

Irreversible electroporation (IRE) is a recent and minimally invasive method of partial prostate ablation. However, knowledge of the essential landmarks of prostate anatomy is crucial to achieving safe and effective partial ablation by IRE. High-quality imaging of the prostate is essential before the procedure. The individual morphological pattern of the prostate must be taken into account and detailed mapping with measurement of the lesion is necessary to determine optimal needle placement. The entire tumour volume must be covered while ensuring the safety of critical anatomical structures such as the rectum, urethra, nerve bundles and sphincter muscle.

Purpose of review: Many studies on epidemiology of prostate cancer (PCa) are based on a diagnosis of PCa using PSA (prostate-specific antigen) level. However, biases can distort the interpretation of the results, which in turn limits policy and decision making on public health prevention strategies or clinical guidelines. The main confusion is to interpret the posterior probability of the outcome following the exposure as a change in the prevalence of the disease outcome, whereas this change reflects only the predictive values of the PSA test induced by the exposure of interest. Recent findings: Many studies report potential causal factors involved in PCa risk. However, the lack of integration of how physiological changes in PSA values are associated with the exposures being investigated, they explain in part contradictory and controversial results on PCa risk factors in the literature. Summary: A strategy to perform case--control studies based on PSA stratification is suggested to avoid misinterpretation related to PSA misclassification. Real data are analysed, and we show that we can exploit the mechanism of selection biases using different modalities of controls recruitment based on biomarker stratification to distinguish real from false causal factors.