Castration-resistant prostate cancer monitoring by cell-free circulating biomarkers

Platelets, Chromogranin A, and C-Reactive Protein Predict Therapy Failure of Metastatic Hormone-Sensitive Prostate Cancer while miR-375 Outperforms Prostate-Specific Antigen in Stratifying Castration-Resistant Prostate Cancer

Androgen deprivation therapy has long been the first-line treatment for hormone-sensitive prostate cancer (HSPC). After progression to castration-resistant prostate cancer (CRPC), androgen receptor pathway inhibitors (ARPIs) are commonly used. Recently, combined therapy with androgen deprivation and an ARPI has been recommended for metastatic HSPC patients. Novel markers are urgently needed for monitoring this disease and for making therapeutic decisions. Plasma samples were collected from 140 patients with either metastatic HSPC (n = 72) or CRPC (n = 68) before the start of ARPI therapy. Digital PCR was used to assess AR gene amplification, while the expression levels of miR-375 were measured by quantitative PCR. Sixteen other clinical markers were also evaluated, including prostate-specific antigen (PSA), chromogranin A (CGA), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), C-reactive protein (CRP), lymphocyte-to-monocyte ratio, and platelet count. A multivariate analysis, adjusted for age and metastatic dissemination, identified miR-375 expression and lymphocyte-to-monocyte ratio to be the independent negative predictors of ARPI therapy failure in CRPC patients. Regarding the HSPC patients, this article reports the primary finding of the independent negative predictive value of platelet count, CRP, and CGA for the failure of combined androgen deprivation therapy and ARPI.

A cross-sectional study examining the relationship between the advanced lung cancer inflammation index and prostate cancer

BACKGROUND

Prostate cancer (PCa), a significant health concern among middle-aged and elderly men globally, has increasingly been associated with metabolic and inflammatory processes. The advanced lung cancer inflammation index (ALI), a novel marker reflecting nutritional and inflammatory status, has not yet been thoroughly investigated in the context of PCa. This study investigated the potential link between ALI and PCa.

METHODS

We first conducted a cross-sectional study utilizing data from the National Health and Nutrition Examination Survey (NHANES). The relationship between ALI and PCa was examined by NHANES-provided survey weights. Smoothed curve fitting and threshold effect analyses were conducted to evaluate possible nonlinear associations. Then we analyzed the correlation between the prognosis of PCa patients and ALI.

RESULTS

Out of 15,042 adult participants, 683 (4.54%) were diagnosed with PCa. The risk of PCa decreased across increasing quartiles of ALI. Multivariate logistic regression analysis revealed that compared to participants in the lowest ALI quartile (Q1: 2.89-41.94), those in higher quartiles (Q2: 41.94-59.08, Q3: 59.08-80.88, and Q4: ≥80.88) had progressively lower odds of developing PCa in both unadjusted and adjusted models. Smoothed curve fitting indicated a U-shaped relationship between ALI and PCa. Longitudinal follow-up data indicated that lower ALI values were positively correlated with a poor survival in cancer patients.

CONCLUSION

Our study revealed a non-linear relationship between ALI and the risk of PCa development. Specifically, there was a negative correlation between ALI and PCa risk when the ALI value was < 100. Furthermore, we found that lower ALI levels are strongly associated with a poor survival in cancer patients. Additional large-scale prospective studies are needed to confirm these findings and investigate the underlying mechanisms.

Prognostic Value of the Number of Circulating Tumor Cells in Patients with Metastatic Non-Small Cell Lung Cancer

Investigating the molecular and genetic characteristics of circulating tumor cells (CTCs) presents a promising approach for personalizing treatment in patients with malignant neoplasms, given the limitations of traditional biopsy and histopathology. This study aimed to isolate, characterize, and analyze CTC dynamics in the peripheral blood of 30 patients with metastatic lung cancer to develop criteria for treatment response and prognosis. We detected CTCs before the start of the treatment and monitored changes during treatment, correlating these with responses evaluated by standard imaging methods. A decrease in the CTCs in the course of the therapy was linked to a favorable tumor response, while the stable CTC counts indicated a lack of response and poor survival prognosis. The OS of patients was analyzed and compared with the initial number of CTCs in peripheral blood samples. The significant reductions in median OS were evident in patients with >3 total CTCs at baseline compared to those with ≤3 total CTCs (median survival 26 months, n = 10, vs. median survival 8 months, n = 19, respectively with HR = 2.6, 95% CI 1.07 to 6.4).

The Prognostic Role of miR-375 in Head and Neck Squamous Cell Carcinoma: A Systematic Review, Meta-Analysis, and Trial Sequential Analysis

Head and Neck Squamous Cell Carcinoma (HNSCC) is a heterogeneous group of malignancies with poor survival outcomes, particularly in advanced stages. Identifying prognostic biomarkers could help improve patient management. miR-375, a small non-coding RNA, has been shown to influence tumor growth and immune responses, making it a candidate biomarker. This study aims to evaluate the role of miR-375 expression in predicting survival outcomes in HNSCC patients. A systematic review and meta-analysis were conducted according to PRISMA guidelines, incorporating data from six studies and the TGCA cohort, encompassing 452 patients. Fixed-effects models were applied to calculate aggregated hazard ratios (HRs) for overall survival (OS). Kaplan-Meier curves were analyzed using the Tierney method, and Trial Sequential Analysis (TSA) was performed to assess statistical power. Low miR-375 expression was associated with poorer OS, with an aggregated HR of 1.23 (95% CI: 1.10-1.37). Subgroup analysis showed consistent trends across oral and laryngeal squamous cell carcinoma. Sensitivity analysis confirmed these findings. TSA revealed that although the number of patients was sufficient, statistical power was insufficient to confirm a predefined risk reduction ratio (RRR) of 49%. Data from the TGCA cohort supported the meta-analysis findings, with an HR for OS of 1.32 (95% CI: 0.96-1.8). Low miR-375 expression is associated with worse survival outcomes in HNSCC patients, indicating its potential as a prognostic biomarker and therapeutic target. However, the retrospective nature of the included studies underscores the need for prospective research to validate these findings.

New biomarkers and multiplex tests for diagnosis of aggressive prostate cancer and therapy management

Despite improving diagnostic possibilities, the incidence of prostate cancer is increasing, but we are not able to reduce the mortality rate. While PSA, 4K score, PCA3 and other urinary markers, ExoDX, SelectMDX, Confirm MDx or MiPS tests are used to identify potential prostate cancer carriers, Decipher, Prolaris or Oncotype DX tests are used to assess the aggressiveness of proven cancer in order to stratify patients for early or delayed treatment. More modern forms of treatment for advanced disease include second-generation antiandrogens and PARP inhibitors. By assessing genetic mutations (e.g. BRCA1, BRCA2 genes, single nucleotide polymorphism) or the presence of splice variants of the androgen receptor (ARV7), we are able to identify patients in whom the planned treatment may be expected to be ineffective and thus choose other treatment modalities. In the present review article, we offer a comprehensive overview of current diagnostic tests that find application in the diagnosis of early and advanced prostate cancer.