Novel target and treatment agents for natural killer/T-cell lymphoma.

The rapidly increasing use of high-throughput screening had produced a plethora of expanding knowledge on the molecular basis of natural killer/T-cell lymphoma (NKTCL), which in turn has revolutionized the treatment. Specifically, the use of asparaginase-containing regimens has led to substantial improvement in survival outcomes in NKTCL patients. Novel treatment strategies that are currently under development include cell-surface-targeted antibodies, immune checkpoint inhibitors, Epstein-Barr virus targeted cytotoxic T lymphocyte, immunomodulatory agents, chimeric antigen receptor T cells, signaling pathway inhibitors and epigenetic targeted agents. In almost all cases, initial clinical studies of newly developed treatment are conducted in patients relapsed, and refractory NKTCL due to very limited treatment options. This review summarizes the results of these novel treatments for NKTCL and discusses their potential for likely use in NKTCL in a wider setting in the future.

Diagnostic performance and prognostic value of circulating tumor DNA methylation marker in extranodal natural killer/T cell lymphoma.

Circulating tumor DNA (ctDNA) carries tumor-specific genetic and epigenetic variations. To identify extranodal natural killer/T cell lymphoma (ENKTL)-specific methylation markers and establish a diagnostic and prognosis prediction model for ENKTL, we describe the ENKTL-specific ctDNA methylation patterns by analyzing the methylation profiles of ENKTL plasma samples. We construct a diagnostic prediction model based on ctDNA methylation markers with both high specificity and sensitivity and close relevance to tumor staging and therapeutic response. Subsequently, we built a prognostic prediction model showing excellent performance, and its predictive accuracy is significantly better than the Ann Arbor staging and prognostic index of natural killer lymphoma (PINK) risk system. Notably, we further establish a PINK-C risk grading system to select individualized treatment for patients with different prognostic risks. In conclusion, these results suggest that ctDNA methylation markers are of great value in diagnosis, monitoring, and prognosis, which might have implications for clinical decision-making of patients with ENKTL.

Combination of PD-1 inhibitor with GVD (gemcitabine, vinorelbine, liposomal doxorubicin) versus GVD regimen as second-line therapy for relapsed/refractory classical Hodgkin lymphoma.

Patients with classical Hodgkin lymphoma (cHL) who do not achieve complete remission (CR) after second-line chemotherapy have poor clinical outcomes. Besides, conventional salvage chemotherapy regimens have an unsatisfactory CR rate. The present retrospective study reports the efficacy and toxicity of the GVD (gemcitabine, vinorelbine, liposomal doxorubicin) regimen with or without programmed cell death 1 (PD-1) inhibitor for patients with cHL who failed first-line treatment. A total of 103 patients with cHL (GVD+PD-1 group, n = 27; GVD group, n = 76) with response assessment based on positron emission tomography were included. The GVD+PD-1 group tended to have a higher CR rate than GVD group (85·2% vs. 65·8%, P = 0·057) and had a better event-free survival (EFS) (P = 0·034). Subgroup analysis showed that patients with low-risk second-line International Prognostic Score might benefit from the addition of PD-1 inhibitor (GVD+PD-1 vs. GVD, 100·0% vs. 64·7%, P = 0·028) and had better EFS than GVD alone (P = 0·016). Further analysis demonstrated that PD-1 consolidation therapy might provide an EFS benefit (P = 0·007). The toxicity of the GVD+PD-1 regimen was comparable to the GVD regimen, except for higher rates of hypothyroidism and autoimmune pneumonitis, which were manageable. In conclusion, combining a PD-1 inhibitor with a GVD regimen could be a potentially effective second-line therapy for patients with cHL.

A prognostic immune risk score for diffuse large B-cell lymphoma.

We constructed a prognostic score for persons with diffuse large B-cell lymphoma (DLBCL) based on infiltrating immune cells. Data of 956 consecutive subjects were retrieved from the Gene Expression Omnibus database and assigned to training (GSE10846, n = 305) or validation (GSE87371 n = 206 and GSE117556 n = 445 combined) cohorts. Proportions of non-lymphoma cells in the sample were inferred using the ESTIMATE algorithm. An immune risk score was constructed comprised of eight types of non-lymphoma immune cells calculated using the CIBERSORT algorithm. Five-year survival of subjects with an immune risk score ≤ 0·45 in the training cohort was better than that of subjects with a score > 0·45 (hazard ratio [HR] = 3·99; 95% confidence interval [CI] = 2·74, 5·82; P < 0·001). HR in the validation cohort was HR = 2·17 (1·47, 3·21; P < 0·001). Enrichment analyses indicated correlations with genes controlling immune-related biological processes and pathways. A nomogram comprised of the immune risk score and most covariates including age, lactate dehydrogenase concentration (LDH), lymphoma-type (germinal centre B cell [GCB] versus non-GCB), Eastern Cooperative Oncology Group performance status (ECOG-PS) and rituximab therapy had a C-statistic of 0·76 compared with C-statistics of 0·69 and 0·69 for the International Prognostic Index (IPI) and Revised International Prognostic Index (R-IPI). These data indicate the immune risk score is an accurate, independent survival predictor in persons with DLBCL.