NOTCH pathway mutation contributes to inferior prognosis in HBV-infected chronic lymphocytic leukemia.

Chronic lymphocytic leukemia (CLL) patients with hepatitis B virus (HBV) infection have a poor prognosis, underlying mechanism remains unclear. NOTCH mutations are frequent in CLL and associated with disease progression and drug resistance. It is also reported to be associated with hepatitis infection in lymphoid malignancies. In order to investigate the relation between the NOTCH pathway and HBV-associated CLL, we studied 98 previously untreated HBV-positive CLL patients and 244 HBV-negative CLL. NOTCH mutations were more frequent in HBV-positive CLL subgroup (p = 0.033). By survival analysis, HBV infection was associated with disease progression and poor survival (p = 0.0099 for overall survival (OS) and p = 0.0446 for time-to-treatment (TTT)). Any lesions of the NOTCH pathway (NOTCH1, NOTCH2, and SPEN) aggravated prognosis. In multivariate analysis, NOTCH mutation retained an independent significance for HBV-infected patients (p = 0.016 for OS and p = 0.023 for TTT). However, HBV positive with NOTCH unmutated had no statistical difference in prognosis compared with HBV-negative patients (p = 0.1706 for OS and p = 0.2387 for TTT), which indicated that NOTCH pathway mutation contributed to inferior prognosis in HBV-infected CLL. In conclusion, a cohort of CLL patients with HBV positive displayed a worse clinical outcome and the status of the NOTCH signaling pathway might play a crucial role.

Cause-specific mortality in a population-level cohort of diffuse large B-cell lymphoma following chemotherapy in the early 21st century.

Diffuse large B-cell lymphoma (DLBCL) is a severe non-Hodgkin's lymphoma. Life expectancy has improved with rituximab, but cause-specific mortality data is lacking. Using the Surveillance, Epidemiology, and End Results (SEER) database to study 27,449 individuals aged 20-74 years diagnosed with primary DLBCL who received chemotherapy between 2000 and 2019, we calculated standardized mortality rate (SMR) and excess absolute risk (EAR) and examined the connection between age, sex, time after diagnosis, and cause of death. Based on 12,205 deaths, 68.7% were due to lymphoma, 20.1% non-cancer causes, and 11.2% other cancers. Non-cancer mortality rates (SMR 1.2; EAR, 21.5) increased with DLBCL compared to the general population. The leading non-cancer death causes were cardiovascular (EAR, 22.6; SMR, 1.6) and infectious (EAR, 9.0; SMR, 2.9) diseases with DLBCL. Risks for non-cancer death and solid neoplasms are highest within the first diagnosis year, then decrease. Among socioeconomic factors, being white, being married, and having a higher income were favorable factors for reducing non-cancer mortality. To improve survival, close surveillance, assessment of risk factors, and early intervention are needed.

High expression of TARP correlates with inferior FLT3 mutations in non-adolescents and young adults with acute myeloid leukaemia.

OBJECTIVES: Acute myeloid leukaemia (AML) is a haematopoietic malignancy with a dismal outcome. Consequently, risk stratification based on more effective prognostic biomarkers is crucial to make accurate therapy decisions. T cell receptor gamma alternative reading frame protein (TARP) has been reported in prostate and breast cancers, but its correlation with AML remains unclear. METHODS: Differential expression of TARP mRNA in different AML subtypes was analysed using the UALCAN online platform. Its relationship with baseline clinical attributes, survival and efficacy were analysed based on three GSE1159, GSE425 and GSE6891 microarray datasets downloaded from Gene Expression Omnibus (GEO) and Oncomine databases. Quantitative real-time PCR was performed to determine mRNA levels of TARP in bone marrow mononuclear cells (BMMCs) isolated from AML patients. RESULTS: TARP was significantly overexpressed in AML patients. In AML, relatively low TARP expression was associated with the CBFß-MYH11 fusion gene. The proportion of FLT3 mutations was significantly higher in non-adolescent and young adult (non-AYA, >39 years of age) AML patients who had high TARP levels but not in AYA (15-39 years) patients. High expression of TARP was related to poor outcome by univariate analysis but not by multivariate analysis and unsatisfactory therapeutic effects, which could be overcome by haematopoietic stem cell transplantation (HSCT). CONCLUSION: Our findings suggest that TARP might be a potential prognostic marker of AML and serve as a promising immunotherapeutic target.

KDM6A promotes imatinib resistance through YY1-mediated transcriptional upregulation of TRKA independently of its demethylase activity in chronic myelogenous leukemia.

Rationale: Despite landmark therapy of chronic myelogenous leukemia (CML) with tyrosine kinase inhibitors (TKIs), drug resistance remains problematic. Cancer pathogenesis involves epigenetic dysregulation and in particular, histone lysine demethylases (KDMs) have been implicated in TKI resistance. We sought to identify KDMs with altered expression in CML and define their contribution to imatinib resistance. Methods: Bioinformatics screening compared KDM expression in CML versus normal bone marrow with shRNA knockdown and flow cytometry used to measure effects on imatinib-induced apoptosis in K562 cells. Transcriptomic analyses were performed against KDM6A CRISPR knockout/shRNA knockdown K562 cells along with gene rescue experiments using wildtype and mutant demethylase-dead KDM6A constructs. Co-immunoprecipitation, luciferase reporter and ChIP were employed to elucidate mechanisms of KDM6A-dependent resistance. Results: Amongst five KDMs upregulated in CML, only KDM6A depletion sensitized CML cells to imatinib-induced apoptosis. Re-introduction of demethylase-dead KDM6A as well as wild-type KDM6A restored imatinib resistance. RNA-seq identified NTRK1 gene downregulation after depletion of KDM6A. Moreover, NTRK1 expression positively correlated with KDM6A in a subset of clinical CML samples and KDM6A knockdown in fresh CML isolates decreased NTRK1 encoded protein (TRKA) expression. Mechanistically, KDM6A was recruited to the NTRK1 promoter by the transcription factor YY1 with subsequent TRKA upregulation activating down-stream survival pathways to invoke imatinib resistance. Conclusion: Contrary to its reported role as a tumor suppressor and independent of its demethylase function, KDM6A promotes imatinib-resistance in CML cells. The identification of the KDM6A/YY1/TRKA axis as a novel imatinib-resistance mechanism represents an unexplored avenue to overcome TKI resistance in CML.