Comprehensive scientometrics and visualization study profiles lymphoma metabolism and identifies its significant research signatures.

Background: There is a wealth of poorly utilized unstructured data on lymphoma metabolism, and scientometrics and visualization study could serve as a robust tool to address this issue. Hence, it was implemented. Methods: After strict quality control, numerous data regarding the lymphoma metabolism were mined, quantified, cleaned, fused, and visualized from documents (n = 2925) limited from 2013 to 2022 using R packages, VOSviewer, and GraphPad Prism. Results: The linear fitting analysis generated functions predicting the annual publication number (y = 31.685x - 63628, R² = 0.93614, Prediction in 2027: 598) and citation number (y = 1363.7x - 2746019, R² = 0.94956, Prediction in 2027: 18201). In the last decade, the most academically performing author, journal, country, and affiliation were Meignan Michel (n = 35), European Journal of Nuclear Medicine and Molecular Imaging (n = 1653), USA (n = 3114), and University of Pennsylvania (n = 86), respectively. The hierarchical clustering based on unsupervised learning further divided research signatures into five clusters, including the basic study cluster (Cluster 1, Total Link Strength [TLS] = 1670, Total Occurrence [TO] = 832) and clinical study cluster (Cluster 3, TLS = 3496, TO = 1328). The timeline distribution indicated that radiomics and artificial intelligence (Cluster 4, Average Publication Year = 2019.39 ± 0.21) is a relatively new research cluster, and more endeavors deserve. Research signature burst and linear regression analysis further confirmed the findings above and revealed additional important results, such as tumor microenvironment (a = 0.6848, R² = 0.5194, p = 0.019) and immunotherapy (a = 1.036, R² = 0.6687, p = 0.004). More interestingly, by performing a "Walktrap" algorithm, the community map indicated that the "apoptosis, metabolism, chemotherapy" (Centrality = 12, Density = 6), "lymphoma, pet/ct, prognosis" (Centrality = 11, Density = 1), and "genotoxicity, mutagenicity" (Centrality = 9, Density = 4) are crucial but still under-explored, illustrating the potentiality of these research signatures in the field of the lymphoma metabolism. Conclusion: This study comprehensively mines valuable information and offers significant predictions about lymphoma metabolism for its clinical and experimental practice.

Wilms' tumor 1 expression combined with genetic mutations for prognostic assessment in MDS.

Overexpression of Wilms' tumor (WT1) is frequently observed in myelodysplastic syndrome (MDS), which has been proposed as a prognostic marker. However, the prognostic role of WT1 expression in different contexts remains to be fully elucidated. We retrospectively assessed the relationships between WT1 levels and preexisting prognostic factors to further investigate its prognostic role under different contexts. In our study, WT1 expression was positively correlated with WHO 2016 classification and IPSS-R stratification. Lower WT1 expression was found in relation to TET2, TP53, CD101, or SRSF2 mutations, while mutant NPM1 patients possessed higher level. Notably, WT1 overexpression maintained its inferior prognostic effect on overall survival (OS) in TP53-wild patients but not in TP53-mutated group. In multivariate analysis, higher WT1 expression was a risk factors for OS in EB patients without TP53 mutations. Overall, WT1 expression was useful to predict prognosis for MDS and its prognostic role was impacted by some gene mutations.

[Expression of Wilms' Tumor 1 Gene in Bone Marrow of Patients with Myelodysplastic Syndrome and Its Clinical Significance].

OBJECTIVE: To investigate the expression level and clinical significance of Wilms' tumor 1 (WT1) in bone marrow of patients with myelodysplastic syndromes (MDS). METHODS: The clinical data of 147 MDS patients who accepted real-time quantitative polymerase chain reaction (RT-PCR) to detect the expression level of WT1 in bone marrow before treated in Nanfang Hospital, Southern Medical University from January 2017 to April 2021 were retrospectively analyzed. According to the expression level of WT1, the patients were divided into WT1+ group and WT1- group, their clinical characteristics and prognosis were analyzed. RESULTS: The positive rate of WT1 in 147 MDS patients was 82.3%. There were significant differences in bone marrow blast count, aberrant karyotypes, WHO 2016 classification, and IPSS-R stratification between WT1+ group and WT1- group (all P<0.05). Furthermore, the higher the malignant degree of MDS subtype and the risk stratification of IPSS-R, the higher expression level of WT1. Compared with WT1- group, there were no differences in overall survival (OS) time and the time of transformation to AML in WT1+ group (both P>0.05). In patients who did not accept transplantation, the median OS time of WT1+ patients was significantly shorter than that of WT1- patients (P=0.049). Besides, regarding WT1+ group, patients who underwent transplantation had longer OS time and lower mortality than those who received hypomethylating agents (P=0.002, P=0.005). CONCLUSION: WT1 expression level directly reflects the disease progression, and it is also associated with prognosis of MDS patients.

Anticancer effects of brusatol in nasopharyngeal carcinoma through suppression of the Akt/mTOR signaling pathway.

PURPOSE: Brusatol, a natural quassinoid that is isolated from a traditional Chinese herbal medicine known as Bruceae Fructus, possesses biological activity in various types of human cancers, but its effects in nasopharyngeal carcinoma (NPC) have not been reported. This study aimed to explore the effect and molecular mechanism of brusatol in NPC in vivo and in vitro. METHODS: The antiproliferative effect of brusatol was assessed by MTT and colony formation assays. Apoptosis was determined by flow cytometry. The expression of mitochondrial apoptosis, cell cycle arrest, and Akt/mTOR pathway proteins were determined by western blot analysis. Further in vivo confirmation was performed in a nude mouse model. RESULTS: Brusatol showed antiproliferative activity against four human NPC cell lines (CNE-1, CNE-2, 5-8F, and 6-10B) in a dose-dependent manner. This antiproliferative effect was accompanied by mitochondrial apoptosis and cell cycle arrest through the modulation of several key molecular targets, such as Bcl-xl, Bcl-2, Bad, Bax, PARP, Caspase-9, Caspase-7, Caspase-3, Cdc25c, Cyclin B1, Cdc2 p34, and Cyclin D1. In addition, we found that brusatol inhibited the activation of Akt, mTOR, 4EBP1, and S6K, suggesting that the Akt/mTOR pathway is a key underlying mechanism by which brusatol inhibits growth and promotes apoptosis. Further in vivo nude mouse models proved that brusatol significantly inhibited the growth of CNE-1 xenografts with no significant toxicity. CONCLUSIONS: These observations indicate that brusatol is a promising antitumor drug candidate or a supplement to current chemotherapeutic therapies to treat NPC.