Prognostic Factors for Progression-free Survival and Overall Survival After Recurrence of Glioblastoma.

BACKGROUND/AIM: Many patients with glioblastoma experience an intracerebral recurrence and require a personalized treatment. This study aimed to facilitate this approach by identifying prognostic factors for progression-free survival (PFS) and overall survival (OS). PATIENTS AND METHODS: In 102 patients with recurrent glioblastoma following primary treatment with resection or biopsy plus adjuvant chemoradiation, 11 characteristics were retrospectively investigated regarding PFS and OS. RESULTS: In the multivariate analyses, Karnofsky performance score (KPS) 90-100 at the time of recurrence (p=0.032), maximum cumulative diameter of recurrent lesions ≤40 mm (p=0.002), resection of recurrent glioblastoma (p=0.025), and systemic therapy for recurrent glioblastoma (p=0.025) were significantly associated with improved PFS. In addition, KPS 90-100 (p=0.024), maximum cumulative diameter ≤40 mm (p=0.033), and systemic therapy (p=0.006) were significantly associated with better OS. CONCLUSION: Our study identified high Karnofsky Performance Status (KPS 90-100), maximum cumulative diameter of recurrent glioblastoma lesions ≤40 mm, and systemic therapy for recurrent glioblastoma as independent predictors of overall survival (OS) and progression-free survival (PFS). These independent prognostic factors may help select the most suitable treatment for individual patients with recurrent glioblastoma, potentially improving patient outcomes.

Continuation of immunotherapy beyond progression is beneficial to the survival of advanced non-small-cell lung cancer.

PURPOSE: To investigate the potential clinical importance of continuing immunotherapy beyond progression in patients with advanced non-small-cell lung cancer (aNSCLC). METHODS: The data of patients with aNSCLC who experienced progressive disease after receiving first-line immunotherapy plus chemotherapy were collected from multiple centers for the period from January 1, 2018 to May 31, 2022. According to the second-line treatment, the patients were classified into two groups: the continuation of immunotherapy beyond progression (CIBP) group and the discontinuation of immunotherapy beyond progression (DIBP) group. The efficacy and safety of the treatment were compared between the groups. RESULTS: Overall, data from 169 patients were analyzed; 93 patients were enrolled in the CIBP group and 76 patients were in the DIBP group. The median second-line progression-free survival was 5.5 months in the CIBP group, which for the DIBP group was 3.4 (p = 0.011). The median overall survival of the CIBP group was 13.3 months, whereas that of the DIBP group was 8.8 months (p = 0.031). The disease control rate of the CIBP group (79.57%) was observably higher than that of the DIBP group (64.47%; p = 0.028). Among patients who responded better (complete or partial response) to prior therapy, the median progression-free survival was 5.5 months and 3.3 months in the CIBP and DIBP groups respectively (p = 0.022), and the median overall survival was 14.8 months and 8.8 months in the CIBP and DIBP groups respectively (p = 0.046). CONCLUSIONS: Continuing immunotherapy as a second-line treatment could be beneficial to the survival of patients with aNSCLC with disease progression beyond initial chemotherapy combined with immunotherapy.

Adjuvant anti-PD-1 antibody for hepatocellular carcinoma with high recurrence risks after hepatectomy.

BACKGROUND AND PURPOSE: The clinical role of postoperative adjuvant therapy in hepatocellular carcinoma (HCC) is still unclear. The purpose of our study was to explore the clinical value of postoperative adjuvant anti-programed cell death 1 antibody (PA-PD-1) on the prognosis of HCC patients with high relapse risks after surgery. PATIENTS AND METHODS: Data of consecutive HCC patients with high recurrence risks treated with liver resection at our center during January 2019 and March 2021 were prospectively collected. Baseline differences were balanced between HCC patients with (PA-PD-1 group) or without PA-PD-1 (non-PD-1 group) after hepatectomy by propensity-score matching (PSM). Between these two groups, we compared overall survival (OS) and recurrence-free survival (RFS). Independent prognostic risk factors for OS and RFS were confirmed by Cox regression analysis, and subgroup analysis was also performed. RESULTS: 47 pairs of patients with or without PD-1 treatment after hepatectomy were matched. After PSM, the 1-year and 2-year RFS was 58.4% and 44.1% in the PA-PD-1 group, and 34.0% and 21.3% in the non-PD-1 group (p = 0.008). The OS at 1 year and 2 years was 91.2% and 91.2% in the PA-PD-1 group, compared with 85.1% and 61.7% in the non-PD-1 group (p = 0.024). Multivariable analyses demonstrated that PA-PD-1 was an independent protective predictor associated with RFS and OS. Through subgroup analysis, we concluded that HCC patients with portal venous tumor thrombus (PVTT) or tumor size ≥ 5 cm significantly benefited from PA-PD-1 therapy in RFS and OS. CONCLUSIONS: Adjuvant anti-PD-1 antibody can effectively improve the survival outcomes of HCC patients with high relapse risks after hepatectomy in this prospective observational study. This finding should be confirmed by results of the ongoing phase 3 randomized controlled trials.

LASSO-based screening for potential prognostic biomarkers associated with glioblastoma.

Background: Glioblastoma is the most common malignancy of the neuroepithelium, yet existing research on this tumor is limited. LASSO is an algorithm of selected feature coefficients by which genes associated with glioblastoma prognosis can be obtained. Methods: Glioblastoma-related data were selected from the Cancer Genome Atlas (TCGA) database, and information was obtained for 158 samples, including 153 cancer samples and five samples of paracancerous tissue. In addition, 2,642 normal samples were selected from the Genotype-Tissue Expression (GTEx) database. Whole-gene bulk survival analysis and differential expression analysis were performed on glioblastoma genes, and their intersections were taken. Finally, we determined which genes are associated with glioma prognosis. The STRING database was used to analyze the interaction network between genes, and the MCODE plugin under Cytoscape was used to identify the highest-scoring clusters. LASSO prognostic analysis was performed to identify the key genes. Gene expression validation allowed us to obtain genes with significant expression differences in glioblastoma cancer samples and paracancer samples, and glioblastoma independent prognostic factors could be derived by univariate and multivariate Cox analyses. GO functional enrichment analysis was performed, and the expression of the screened genes was detected using qRT-PCR. Results: Whole-gene bulk survival analysis of glioblastoma genes yielded 607 genes associated with glioblastoma prognosis, differential expression analysis yielded 8,801 genes, and the intersection of prognostic genes with differentially expressed genes (DEG) yielded 323 intersecting genes. PPI analysis of the intersecting genes revealed that the genes were significantly enriched in functions such as the formation of a pool of free 40S subunits and placenta development, and the highest-scoring clusters were obtained using the MCODE plug-in. Eight genes associated with glioblastoma prognosis were identified based on LASSO analysis: RPS10, RPS11, RPS19, RSL24D1, RPL39L, EIF3E, NUDT5, and RPF1. All eight genes were found to be highly expressed in the tumor by gene expression verification, and univariate and multivariate Cox analyses were performed on these eight genes to identify RPL39L and NUDT5 as two independent prognostic factors associated with glioblastoma. Both RPL39L and NUDT5 were highly expressed in glioblastoma cells. Conclusion: Two independent prognostic factors in glioblastoma, RPL39L and NUDT5, were identified.

Independent Prognostic Factors for Acute Organophosphorus Pesticide Poisoning.

BACKGROUND: Acute organophosphorus pesticide poisoning (AOPP) is becoming a significant problem and a potential cause of human mortality because of the abuse of organophosphate compounds. This study aims to determine the independent prognostic factors of AOPP by using multivariate logistic regression analysis. METHODS: The clinical data for 71 subjects with AOPP admitted to our hospital were retrospectively analyzed. This information included the Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, 6-h post-admission blood lactate levels, post-admission 6-h lactate clearance rates, admission blood cholinesterase levels, 6-h post-admission blood cholinesterase levels, cholinesterase activity, blood pH, and other factors. Univariate analysis and multivariate logistic regression analyses were conducted to identify all prognostic factors and independent prognostic factors, respectively. A receiver operating characteristic curve was plotted to analyze the testing power of independent prognostic factors. RESULTS: Twelve of 71 subjects died. Admission blood lactate levels, 6-h post-admission blood lactate levels, post-admission 6-h lactate clearance rates, blood pH, and APACHE II scores were identified as prognostic factors for AOPP according to the univariate analysis, whereas only 6-h post-admission blood lactate levels, post-admission 6-h lactate clearance rates, and blood pH were independent prognostic factors identified by multivariate logistic regression analysis. The receiver operating characteristic analysis suggested that post-admission 6-h lactate clearance rates were of moderate diagnostic value. CONCLUSIONS: High 6-h post-admission blood lactate levels, low blood pH, and low post-admission 6-h lactate clearance rates were independent prognostic factors identified by multivariate logistic regression analysis.

The use of European Organization of Research and Treatment of Cancer Risk Tables to predict the prognosis of patients with T1 non-muscle-invasive bladder cancer / 中国肿瘤临床

Objective:To assess the accuracy of the European Organization of Research and Treatment of Cancer (EORTC) Risk Tables in predicting the prognosis of patients with T1 non-muscle-invasive bladder cancer (NMIBC) treated in the Tianjin Medical University Can-cer Institute and Hospital (TMUCIH). The prognostic factors of T1 NMIBC are also explored, and a new risk scoring model suitable for T1 NMIBC is determined. Methods:We retrospectively reviewed the clinicopathologic characteristics of 108 patients with T1 NMIBC who underwent transurethral resections in TMUCIH from January 2011 to June 2013. We scored patients based on the number of ad-verse factors. Afterwards, divided them into different risk groups by the limits determined using receiver operating characteristic curve (ROC) analysis, and created a new risk scoring model. Results:In a group of 108 patients, 90 (83%) were male and 18 were female (17%). The median age was 65 years old (ranging from 24 to 88). Furthermore, 21 patients (19.4%) had a recurrence and 11 cases (10.2%) progressed to muscle-invasive disease. Conclusion:The EORTC cannot accurately predict the recurrence and progressive rate of T1 NMIBC. The most important prognostic factors for recurrence were tumor size and prior recurrence rate. Tumor grade and prior recurrence rate are independent prognostic factors for tumor progression. The new risk scoring model is more accurate in predicting the recurrence risk and progression of T1 NMIBC.