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.

[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.

LncRNA XIST regulates cell proliferation, migration and invasion of glioblastoma via regulating miR-448 and ROCK1

Long non-coding ribonucleic acids (lncRNAs) have been recognized as markers in several cancers and play important roles in glioblastoma (GBM). But the role of lncRNA X inactive-specific transcript (XIST) in GBM and its possible mechanisms are rarely studied in depth. This study was conducted to explore the detailed roles of XIST in cell proliferation, migration, and invasion of GBM. Expressions of XIST, miR-448, and ρ associated coiled coil containing protein kinase 1 (ROCK1) were detected by qRT-PCR or Western blot in A172 and U251 cells. The interactions among XIST, miR-448 and ROCK1 were verified through luciferase reporter assay and RNA immunoprecipitation (RIP) assay. Cell Counting Kit-8 (CCK-8) assay and Transwell assay were introduced to detect how XIST knockdown, miR-448 overexpression, or along with ROCK1 overexpression affect cellular malignancy of GBM cells. XIST and ROCK1 were up-regulated while miR-448 expression was decreased in GBM cells. XIST knockdown or miR-448 overexpression could dramatically inhibit GBM cell proliferation, migration, and invasion. Moreover, XIST negatively regulated miR-448 expression through the function as competing endogenous RNA (ceRNA), thus leading to the up-regulation of ROCK1, one miR-448 target gene. Moreover, ROCK1 overexpression could reverse the suppression of XIST knockdown or miR-448 upregulation on cellular malignancy. In brief, the effects of XIST may promote cellular malignancy of GBM through miR-448/ROCK1 axis, which will provide new understanding of GBM pathogenesis and progression.

Effect of MWCNTs on Gastric Emptying in Mice

After making model of gastric functional disorder (FD), part of model mice were injected intravenously (i.v.) with oxide multi-walled carbon nanotubes (oMWCNTs) to investigate effect of carbon nanotubes on gastric emptying. The results showed that NO content in stomach, compared with model group, was decreased significantly and close to normal level post-injection with oMWCNTs (500 and 800 μg/mouse). In contrast to FD or normal groups, the content of acetylcholine (Ach) in stomach was increased obviously in injection group with 500 or 800 μg/mouse of oMWCNTs. The kinetic curve of emptying was fitted to calculate gastric motility factor k; the results showed that the k of injection group was much higher than FD and normal. In other words, the gastric motility of FD mice was enhanced via injection with oMWCNTs. In certain dosage, oMWCNTs could improve gastric emptying and motility.