The Role of miRNAs to Detect Progression, Stratify, and Predict Relevant Clinical Outcomes in Bladder Cancer.

Bladder cancer (BC) is one of the most common types of cancer worldwide, with significant differences in survival depending on the degree of muscle and surrounding tissue invasion. For this reason, the timely detection and monitoring of the disease are important. Surveillance cystoscopy is an invasive, costly, and uncomfortable procedure to monitor BC, raising the need for new, less invasive alternatives. In this scenario, microRNAs (miRNAs) represent attractive prognostic tools given their role as gene regulators in different biological processes, tissue expression, and their ease of evaluation in liquid samples. In cancer, miRNA expression is dynamically modified depending on the tumor type and cancer staging, making them potential biomarkers. This review describes the most recent studies in the last five years exploring the utility of miRNA-based strategies to monitor progression, stratify, and predict relevant clinical outcomes of bladder cancer. Several studies have shown that multimarker miRNA models can better predict overall survival, recurrence, and progression in BC patients than traditional strategies, especially when combining miRNA expression with clinicopathological variables. Future studies should focus on validating their use in different cohorts and liquid samples.

The role of miRNA in prostate cancer diagnosis, prognosis and treatment response: a narrative review.

To date, prostate cancer remains the most common tumor diagnosed in males and the second most common cause of cancer-related mortality. While current screening protocols can detect early disease, they lack enough sensitivity and specificity, leading to unnecessary biopsies and overtreatment. Furthermore, disease monitoring remains challenging, as current prognostic strategies rely on data obtained by invasive means such as biopsy, surgery and digital rectal examination. Additionally, there are no tools to predict tumor progression, risk reclassification and treatment response. As the need for accurate biomarkers continues, miRNAs are promising biomarkers for screening, surveillance, prognosis and treatment response in prostate cancer. In this review, the authors describe the current evidence regarding the accuracy and efficacy of these biomarkers for prostate cancer.

Prognostic Implications of Timing of Immunotherapy in Stage IV Non-Small Cell Lung Cancer.

Background: Currently, the established approach for addressing stage IV non-small cell lung cancer (NSCLC) involves combining chemotherapy with immunotherapy. However, the necessity for molecular analysis prior to commencing immunotherapy often results in a delay in its initiation following the commencement of chemotherapy. Therefore, this study aimed to study the significance of postponing immunotherapy on pertinent patient outcomes. Methods: Using the National Cancer Database (NCBD), patients diagnosed with stage IV NSCLC between 2017 and 2018 were screened. Inclusion criteria comprised those treated with multi-agent chemotherapy as the first-line therapy within 30 days of treatment, surviving beyond 2 months of diagnosis, and absence of neuroendocrine pathology. Patients were grouped among those receiving immunotherapy within 30 days of chemotherapy, immunotherapy within 31 - 60 days of chemotherapy, or chemotherapy alone. Clinical characteristics were collected and their correlation with the timing of immunotherapy was evaluated. The impact of delaying immunotherapy on overall survival (OS) was investigated using Kaplan-Meier analysis. Multivariate Cox regression analysis was employed to identify independent prognostic variables associated with OS. Results: Our cohort comprised 99,008 patients with clinical stage IV NSCLC diagnosed between 2017 and 2018, which were distributed in the three treatment groups described above. Patients receiving immunotherapy within 30 days of chemotherapy showed greater OS in contrast to both those subjected to delayed immunotherapy (hazard ratio (HR) = 0.74, 95% confidence interval (CI): 0.64 - 0.87, P = 0.0003). Subsequent multivariate regression analysis showed that postponing immunotherapy, older age, male sex, white race, non-adenocarcinoma histology, higher clinical N stage, use of radiation treatment, and presence of liver metastasis were all associated with worse OS. Conclusions: Introducing immunotherapy within the first 30 days of chemotherapy initiation significantly increases survival in patients with stage IV NSCLC.