Future oncology最新文献

Introduction: The treatment landscape of metastatic urothelial carcinoma (mUC) has evolved with the emergence of programmed cell death protein 1/ligand 1 (PD-1/L1) inhibitors. This study assessed mUC treatment patterns in Europe.

Methods: Data were derived from the Adelphi mUC Disease Specific Programme™ (November 2020 to April 2021), a large, cross-sectional, patient record-based survey of physicians in France, Germany, Italy, Spain, and the United Kingdom. Patient characteristics, treatment patterns across lines of therapy, and treatment durations were assessed.

Results: Physicians (N = 232) provided data for 1922 patients with mUC. Mean (SD) patient age at the time of data collection was 69.1 (7.9) years, and 81% presented with bladder tumors. Most patients received platinum-based chemotherapy in first-line (cisplatin plus gemcitabine, 43%; carboplatin plus gemcitabine, 28%), followed by PD-1/L1 inhibitors in second-line (pembrolizumab, 35%; atezolizumab, 19%). In third-line, 41% received best supportive care and 36% received single-agent chemotherapies. Mean treatment duration was longer in second-line than first-line (6.1 vs 4.8 months).

Conclusions: Most patients received platinum-based chemotherapy in first-line, followed by a PD-1/L1 inhibitor. A substantial proportion received best supportive care after second-line. Findings indicate unmet need for the later-line treatment of mUC and provide important context for the emergence of novel therapies.

Aim: Assess real-world fedratinib (FEDR) treatment patterns and clinical outcomes in patients with primary or secondary myelofibrosis following discontinuation of ruxolitinib (RUX).

Patients & methods: This study was a retrospective, noninterventional medical record review of patients in Canada, Germany, and the United Kingdom (UK). A total of 70 physicians (primarily hematologist-oncologists [78.6%]) provided data for 196 eligible patients.

Results: Patients were mostly male (62.8%) with primary myelofibrosis (76.5%) and initiated FEDR at a mean age of 67.7 years. Median treatment duration was 11.5 months (median follow-up, 13.8 months), and nearly half (49.5%) of patients initiated FEDR at the label-indicated dose of 400 mg daily. Six months post-initiation, 77.7% and 66.8% of patients experienced symptom and spleen response, respectively. Kaplan-Meier estimates of median progression-free and overall survival from initiation were 23.8 months (95% CI, 21.1-27.6) and 29.8 months (95% CI, 23.9-NE), respectively.

Conclusion: These findings demonstrate real-world FEDR effectiveness among patients with myelofibrosis who discontinued RUX.

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths, with high rates of postoperative recurrence. Identifying reliable biomarkers for predicting recurrence is critical for improving patient outcomes. This study investigates the predictive value of m6A methylation-related genes, METTL4 and METTL5, on HCC recurrence after surgery.

Research design and methods: We analyzed METTL4 and METTL5 expression in HCC and adjacent non-cancerous tissues using the TCGA database and evaluated their levels in surgical samples from 67 hCC patients. A recurrence risk model was developed and validated in an external cohort of 65 patients.

Results: METTL4 and METTL5 were significantly overexpressed in HCC tissues. High expression correlated with shorter recurrence-free survival (RFS). The model stratified patients into high, medium, and low-risk groups with 3-year RFS rates of 18.75%, 69.70%, and 93.75%, respectively.

Conclusions: METTL4 and METTL5 expression levels are strong predictors of HCC recurrence. The risk model offers a novel approach for postoperative management of HCC.

For the past few years, researchers and oncologists have been pushing to find biomarkers that would help predict which treatment option would best work on a patient. Tumor Mutational Burden (TMB) is one of the latest biomarkers that is being studied and considered as a promising agnostic immunotherapy biomarker. However, it still shows controversial results in studies due to the difficulty in finding solid comparable results. This is a consequence of different cutoff definitions among many cancer types, age ranges, and the use of different sequencing assays, in addition to its association with other biomarkers such as PD-L1. Finally, the use of composite biomarkers to assess the genetic signature of a tumor might be the way forward to seriously use TMB as an agnostic biomarker.

Background: The global incidence of prostate cancer (PCa) is rising, necessitating improved diagnostic strategies. This study explores coagulation parameters' predictive value for clinically significant PCa (csPCa) and develops a nomogram.

Research design and methods: This study retrospectively analyzed data from 702 patients who underwent prostate biopsy at Shandong Provincial Hospital (SDPH) and 142 patients at Shandong Cancer Hospital and Institute (SDCHI). SDPH patients were randomly assigned at a 7:3 ratio for internal validation, while SDCHI data served as external validation. LASSO and logistic regression identified the best predictive factors for csPCa, which were used to construct a model. The model's efficacy was tested using AUC, calibration curves, and decision curve analysis.

Results: TPSA, age, D-dimer, prostate volume (PV), and digital rectal examination (DRE) were identified as independent risk factors for csPCa. A predictive model was constructed using a nomogram. The AUC for the training set was 0.841, for internal validation 0.809, and for external validation 0.814. Calibration and decision curves confirmed the model's clinical utility.

Conclusions: The nomogram incorporating D-dimer, TPSA, age, PV, and DRE provides a highly accurate tool for assessing csPCa risk in individuals with PSA levels of 4-20 ng/mL, supporting personalized diagnostics and clinical decision-making.