Primary central nervous system lymphoma (PCNSL) is a kind of highly aggressive and rare extranodal non-Hodgkin lymphoma, and the treatment effect and survival prognosis of these patients are still not satisfied. In recent years, domestic and foreign researchers have devoted themselves to find more effective prognostic indicators from clinical hematological indicators, as well as gene and protein levels, so as to guide the diagnosis and treatment of PCNSL more accurately in clinical practice and improve the prognosis of PCNSL patients to a greater extent. This paper provides a review of such studies by reviewing PubMed.

Objective:To explore the medication law of TCM compounds used in the treatment of non-small cell lung cancer (NSCLC).Methods:Clinical literature about TCM compounds in the treatment of NSCLC was retrieved from CNKI, Wanfang Data, PubMed and Web of Science core collection database from January 1st, 2003 to May 1st, 2023. The Python and the ancient and modern medical record cloud platform V2.3.7 were used to analyses frequency statistics and properties, and clustering analysis, factor analysis and association rule analysis were performed.Results:A total of 866 articles were included, with 660 effective TCM compounds, 647 kinds of Chinese materia medica. There were 36 kinds of high-frequency Chinese materia medica, such as Astragali Radix, Atractylodis Macrocephalae Rhizoma and Poria; the efficacy categories of Chinese materia medica mainly included tonics and phlegm resolving cough relieving and asthma relieving drugs. Cluster analysis obtained 4 clusters, factor analysis extracted 11 common factors, and association rule analysis obtained 37 highly supported combinations of Chinese materia medica. The most reliable triple drug combination among them was Astragali Radix-Atractylodis Macrocephalae Rhizoma-Hedyotis diffusa willd, and the double drug combination was Astragali Radix-Ligustri Lucidi Fructus.Conclusion:TCM for the treatment of NSCLC mainly focuses on strengthening the healthy qi, clearing heat, resolving phlegm and detoxifying toxins, supplemented by tonifying qi and activating blood circulation, dispelling dampness and resolving phlegm.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Background: Anti-programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) immunotherapy has been proved to be effective on gastric cancer in ongoing clinical trials. However, the value of PD-L1 in predicting responses of patients with gastric cancer to anti-PD-1/PD-L1 immunotherapy is controversial. Some studies suggested that intra- and inter-tumoral heterogeneity of PD-L1 expression might explain the controversy. This study aimed to analyze the expression of PD-L1, PD-L2, and PD-1 as well as CD8(+) T-cell density in primary tumors and lymph nodes from patients with stage T1-4N+M0 gastric adenocarcinoma to explore the heterogeneity of PD-1 signaling pathway molecules. Methods: In primary tumors and metastatic as well as non-metastatic lymph nodes from patients with stage T1-4N+M0 gastric adenocarcinoma, we detected PD-L1 and PD-L2 expression with immunohistochemistry. CD8(+) T-cell density in primary tumors and PD-1 expression on CD8(+) T cells were detected with immunofluorescence. Uni-variate analysis was used to determine the prognostic values of them. Cox proportional hazard regression model was used to identify independent risk factors that affect patients' overall survival and disease-free survival. Results: Among 119 eligible patients who had undergone surgical resection, the positive rate of PD-L1 was higher in metastatic lymph nodes than in primary tumors (45.4％ vs. 38.7％,P= 0.005); the positive rate of PD-1 on CD8(+) T cells was significantly higher in primary tumors and metastatic lymph nodes than in tumor-free lymph nodes (both P < 0.001). The intensity of PD-1 expression on CD8(+) T cells in primary tumors and in metastatic lymph nodes were stronger than that in tumor-free lymph nodes from the same patient. Beside, the positive rate of PD-L2 did not show any differences between primary tumors and metastatic lymph nodes. In multivariate analysis, PD-L1 expression, PD-L2 expression, a low density of CD8(+) T cells in primary tumors, and PD-1 expression on CD8(+) T cells in primary tumors were associated with poor prognosis.Conclusion: The expression of PD-L1 is heterogeneous in primary tumors and in metastatic lymph nodes from patients with stage T1-4N+M0 gastric adenocarcinoma, which might explain the inconsistent results in assessing the prognostic value of PD-L1 expression in previous studies.

To ensure the safety and efficacy of the military thermo-sensitive drugs, it is necessary to monitor the temperature changes through the whole process of production, transportation, storage, distribution and application. The characteristics of various commercial TTI were analyzed. The applications of TTI technology in the quality control for military thermo-sensitive drugs were reviewed in order to provide accurate quality assurance for those drugs.

METTL3 and METTL14 are two components that form the core heterodimer of the main RNA m6A methyltransferase complex (MTC) that installs m6A. Surprisingly, depletion of METTL3 or METTL14 displayed distinct effects on stemness maintenance of mouse embryonic stem cell (mESC). While comparable global hypo-methylation in RNA m6A was observed in Mettl3 or Mettl14 knockout mESCs, respectively. Mettl14 knockout led to a globally decreased nascent RNA synthesis, whereas Mettl3 depletion resulted in transcription upregulation, suggesting that METTL14 might possess an m6A-independent role in gene regulation. We found that METTL14 colocalizes with the repressive H3K27me3 modification. Mechanistically, METTL14, but not METTL3, binds H3K27me3 and recruits KDM6B to induce H3K27me3 demethylation independent of METTL3. Depletion of METTL14 thus led to a global increase in H3K27me3 level along with a global gene suppression. The effects of METTL14 on regulation of H3K27me3 is essential for the transition from self-renewal to differentiation of mESCs. This work reveals a regulatory mechanism on heterochromatin by METTL14 in a manner distinct from METTL3 and independently of m6A, and critically impacts transcriptional regulation, stemness maintenance, and differentiation of mESCs.
Animals ; Mice ; Methylation ; Chromatin ; Histones/metabolism* ; RNA, Messenger/genetics* ; Methyltransferases/metabolism* ; RNA/metabolism*