Clinicopathologic features and survival outcomes of CD30 expression in extranodal natural killer/T-cell lymphoma.

OBJECTIVES: Previous studies have been inconsistent concerning the association between the prognostic value of CD30 expression and extranodal natural killer/T-cell lymphoma (ENKTL). METHODS: CD30 expression in 82 patients with newly diagnosed ENKTL (mean age, 50 years; 73.2% male) was assessed by immunohistochemistry on paraffin-embedded sections. The level of CD30 expression was categorized into negative (0%, no staining) and positive groups. RESULTS: Sixty-seven cases exhibited positive CD30 expression, and the main between-group difference was the Chinese Southwest Oncology Group and Asia Lymphoma Study Group (CA) ENKTL stage and Eastern Cooperative Oncology Group (ECOG) performance status. The cutoff point for CD30 expression was 40% by restricted cubic splines analysis. The overall survival of patients with high expression (>40%) was statistically superior to negative (0%) and low-expression groups. A positive correlation was observed between CD30 and Epstein-Barr virus-encoded small RNA status (r = 0.305). Multivariable analysis suggested that positive CD30 expression (hazard ratio, 0.420 [95% CI, 0.193-0.914]; P = .029) and CA advanced stage (hazard ratio, 2.844 [95% CI, 1.371-5.896]; P = .005) were independent prognostic factors for ENKTL. CONCLUSIONS: Positive CD30 expression was a favorable prognostic factor for ENKTL, and CD30 expression could restratify the survival of patients in clinical subgroups.

A novel nomogram can predict pathological T3a upstaged from clinical T1a in localized renal cell carcinoma

ABSTRACT Hypothesis: Nomogram can be built to predict the pathological T3a upstaging from clinical T1a in patients with localized renal cell carcinoma before surgery. Purpose: Renal cell carcinoma (RCC) patients with clinical T1a (cT1a) disease who are upstaged to pathological T3a (pT3a) have reduced survivals after partial nephrectomy. We aimed to develop a nomogram-based model predicting pT3a upstaging in RCC patients with preoperative cT1a based on multiple preoperative blood indexes and oncological characteristics. Materials and Methods: Between 2010 and 2019, 510 patients with cT1a RCC were individually matched according to pT3a upstaging and pathological T1a (pT1a) at a 1:4 ratio using clinicopathologic features. Least absolute shrinkage and selection operator regression analysis was used to identify the most important risk factor from 40 peripheral blood indicators, and a predictive model was established. Multivariate logistic regression analysis was performed with the screened blood parameters and clinical data to identify significant variables. Harrell's concordance index (C-index) was applied to evaluate the accuracy of the model for predicting pT3a upstaging in patients with cT1a RCC. Results: Out of 40 blood indexes, the top ranked predictor was fibrinogen (FIB). Age, the ratio of the tumor maximum and minimum diameter (ROD), FIB, and tumor size were all independent risk factors for pT3a upstaging in multivariate analysis. A predictive ARFS model (Age, ROD, FIB, tumor Size) was established, and the C-index was 0.756 (95% CI, 0.681-0.831) and 0.712 (95% CI, 0.638-0.785) in the training and validation cohorts, respectively. Conclusions: Older age, higher ROD, increased FIB level, and larger tumor size were independent risk factors for upstaging. The ARFS model has a high prediction efficiency for pT3a upstaging in patients with cT1a RCC.