Polygonatum sibiricum， as a traditional Chinese medicine with both medicinal and edible properties， has attracted considerable attention due to its functions of nourishing Yin and moistening the lungs， tonifying the spleen and benefiting Qi， and nourishing the kidneys and filling essence. Recent studies have demonstrated that Polygonatum sibiricum plays a significant role in regulating the immune system， effectively enhancing and improving the morphology and function of immune organs， stimulating the proliferation and activation of immune cells， and regulating the secretion and release of immune factors， thereby enhancing the immune function of the body and improving various immune-related diseases. Although a large number of studies have explored the pharmacological effects and mechanisms of P. sibiricum， there has been no systematic review and summary of its immune regulatory activity and mechanisms. Therefore， this article comprehensively reviews the research achievements of P. sibiricum polysaccharides and saponins in the field of immune regulation in recent years， and further sorts out the immune regulatory mechanisms of P. sibiricum in multiple aspects： including increasing the organ index of the spleen and thymus， increasing the number and activity of tumor-suppressive bone marrow hematopoietic stem cells， improving intestinal flora imbalance， regulating the quantity and proportion of T lymphocyte subsets， increasing the level of immunoglobulin， promoting the proliferation of macrophages， enhancing the activity of natural killer cells， increasing the number of white blood cells， and promoting the maturation of dendritic cells， providing a solid theoretical basis and scientific evidence for the research and application of P. sibiricum， and promoting its development and application in traditional Chinese medicine immune enhancers and various functional products.

Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.

Objective Chronic atrophic gastritis(CAG)is often accompanied by intestinal flora disorder and intestinal symptoms,forming the phenomenon of"stomach disease involving intestine".This study explored the dynamic correlation between intestinal symptoms and qi-stagnation degree in patients with CAG qi-stagnation syndrome and analyzed the characteristics of gut microbiota from the perspective of"spleen-stomach system serving as the pivotal hub of qi movement"in TCM.Methods According to the syndrome element differentiation method,410 patients with CAG were divided into four groups:non-qi-stagnation group,mild qi-stagnation group,moderate qi-stagnation group and severe qi-stagnation group.Correlation analysis and 16S intestinal flora sequencing technology were used to analyze the correlation and differential flora between the degree of CAG qi-stagnation and intestinal symptoms.Results Patients with CAG qi-stagnation syndrome were often accompanied by intestinal symptoms such as frequent flatulence,poor defecation and alternating loose-constipated stools.The frequency of cases was significantly positively correlated with the degree of qi-stagnation"non-mild-moderate-severe"(P<0.05).There was a difference in the abundance of gut microbiota between the four groups of CAG qi-stagnation none,mild,moderate and severe.The relative abundance of Streptococcus,Subdoligranulum,Eubacterium_coprostanoligenes_group and Haemophilus was positively correlated with the degree of qi-stagnation.The relative abundance of Ruminococcus_torques_group and Butyricicoccus showed a negative correlation,and Haemophilus was statistically significant among the four groups(P<0.05).Conclusion This study can provide clinical evidence and micro-mechanism for the connotation of"gastrointestinal co-morbidities"and"different diseases with the same syndrome",which may open up new ideas for clinical diagnosis and treatment.

Traditional Chinese medicine(TCM)is an ancient medical system distinctive and effective in treating cancer,depression,coronavirus disease 2019(COVID-19),and other diseases.However,the relatively abstract diagnostic methods of TCM lack objective measurement,and the complex mechanisms of action are difficult to comprehend,which hinders the application and internationalization of TCM.Recently,while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research,the rise of machine learning(ML)has significantly enhanced their inte-gration with TCM.This article introduces representative methodological cases in quality control,mechanism research,diagnosis,and treatment processes of TCM,revealing the potential applications of ML technology in TCM.Furthermore,the challenges faced by ML in TCM applications are summarized,and future directions are discussed.

Objective·To explore the biological functions and underlying mechanisms of anaphase-promoting complex subunit 10(ANAPC10)in the development and progression of liver hepatocellular carcinoma(LIHC,often abbreviated as HCC).Methods·By integrating data from The Cancer Genome Atlas(TCGA)_LIHC,the hepatitis B virus-related subgroup(HBV)of the China Hepatocellular Carcinoma Genome Project(CHCC),and the Gene Expression Omnibus(GEO),the expression pattern of ANAPC10 in HCC was analyzed.Western blotting and quantitative real-time PCR(q-PCR)were used to verify the findings in HCC cell lines.shRNA-mediated knockdown of ANAPC10 was performed in MHCC-97H and SNU-398 cell lines to investigate the effect of ANAPC10 depletion on the in vitro proliferation of HCC cells.An orthotopic liver cancer model with Anapc10 knockout was constructed using the hydrodynamic tail-vein injection technique in mice to further confirm the impact of ANAPC10 deficiency in the liver on the development and progression of HCC.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed on the RNA-sequencing data from TCGA_LIHC and CHCC_HBV.Results·ANAPC10 was highly expressed in tumor tissues,and its expression level was closely related to patient survival.Downregulation of ANAPC10 in vitro and in vivo effectively inhibited HCC progression.ANAPC10 mainly reprogrammed the metabolism of tumors by affecting the PI3K-AKT-mTOR pathway.In the tumor tissues of the orthotopic liver cancer mouse model in the Anapc10 knockout group,the phosphorylation levels of Akt and S6k were decreased,and changes in the key downstream lipid metabolism proteins Fasn and Scd1 were verified.Conclusion·ANAPC10 is highly expressed in HCC and is positively correlated with poor prognosis.It promotes HCC occurrence and progression by activating the PI3K-AKT-mTOR signaling pathway and enhancing lipid metabolism reprogramming,thereby promoting tumor cell proliferation.These findings expand the understanding of ANAPC10 in tumor progression and suggest potential therapeutic targets for HCC.

Objective·To explore the function and potential mechanism of suppressor of zeste 12(SUZ12)in hepatocellular carcinoma(HCC).Methods·The expression of SUZ12 in HCC patients was analyzed using R language in liver cancer datasets,and relevant survival curves were drawn.Stable knockdown of SUZ12 was established in the liver cancer cell lines LM3 and Huh7.The knockdown efficiency of SUZ12 was assessed using quantitative real-time PCR(qPCR)and Western blotting.Cell proliferation ability was assessed using CCK-8 assay and colony formation assay.Using the hydrodynamic tail vein injection(HTVI)method,Suz12 was knocked out in the livers of fully immunocompetent mice to explore its tumorigenic function in vivo.The molecular mechanism of SUZ12 regulating HCC was explored using The Cancer Genome Atlas(TCGA)database.R language was used to analyze the relationship between SUZ12 and the expression of cancer stem cell(CSC)markers as well as key glycolysis-related genes.Findings were validated in liver cancer cell lines and mouse tumor tissues.Results·The expression of SUZ12 in liver cancer tissues was higher than in adjacent non-tumor tissues,and its expression increased with higher tumor stage.HCC patients with high SUZ12 expression had poorer prognoses.In LM3 and Huh7 liver cancer cell lines,stable knockdown of SUZ12 reduced cell proliferation ability.In the de novo MYC/Trp53-/-mouse liver cancer model,tumor nodule number and size,and tumor burden in liver tissue were reduced after endogenous knockout of Suz12.TCGA analysis showed that high SUZ12 expression in HCC was enriched in multiple tumor proliferation-and metabolism-related pathways.The expression of SUZ12 was positively correlated with CSC markers and key genes in glycolysis pathway.The mRNA levels of CSC markers and key genes in glycolysis pathway were decreased in liver cancer cell lines with stable SUZ12 knockdown and Suz12 knockout mouse HCC tissues.Conclusion·The expression of SUZ12 is significantly increased in HCC patients and is associated with poor prognosis.Stable knockdown of SUZ12 weakens the proliferative ability of liver cancer cells.Knockout of Suz12 in mice in vivo can suppress the occurrence and development of HCC.The high expression of SUZ12 maintains the CSC pool,induces metabolic reprogramming,and promotes the occurrence and progression of HCC.SUZ12 can serve as a potential biomarker for poor prognosis and a novel target for potential therapeutic intervention in HCC.

Objective:To investigate the impact of the number of examined lymph nodes (ELN) on survival outcomes in gastric cancer patients with postoperative pathological stage pN3b.Methods:This retrospective cohort study included 279 pN3b gastric cancer patients who underwent D2 gastrectomy at Nanfang Hospital, Southern Medical University (September 2008 to April 2023), with 35 patients receiving combination chemotherapy and anti-PD-1 therapy (immunotherapy group) and 244 receiving adjuvant chemotherapy alone (nonimmunotherapy group). Additionally, 422 patients with pN3b from the SEER database (2005 to 2020) were collected as an external validation cohort to determine the optimal cutoff value for the number of lymph nodes examined in the nonimmunotherapy group. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) in the nonimmunotherapy group of the Nanfang Hospital cohort, stratified by whether the number of examined lymph nodes was above or below the ELN optimal cutoff value. These findings were subsequently validated in the SEER cohort.Results:The optimal ELN cutoff value (34 nodes) was determined using X-tile software and by constructing an ELN-HR fitting model with inflection point identification. In the nonimmunotherapy group, patients with ELN >34 exhibited significantly prolonged survival compared to ELN ≤34 (median OS: 25.0 (95%CI:20.5-29.5) to 17.0 (95%CI:12.7-21.3) months, P=0.004; median RFS: 19.0 (95%CI:15.6-22.4) to 13.0 (95%CI:9.5-16.5) months, P=0.048). Multivariate Cox analysis also showed ELN >34 to be an independent protective factor for both OS (HR=0.576, 95%CI: 0.397-0.836) and RFS (HR=0.701, 95%CI: 0.492-0.998). In the SEER cohort, ELN >34 was associated with a 5-month OS extension (19 to 14 months, P=0.065), with multivariate analysis supporting its independent prognostic significance (HR=0.729, 95%CI: 0.580-0.915, P=0.006). Notably, in the immunotherapy group, patients with ELN >34 ( n=30) achieved a median OS of 41 months, but the median OS had not been reached in the ELN ≤34 group ( n=5) (1 death at 48 months). Conclusion:Higher ELN (>34) correlates with improved survival in nonimmunotherapy-treated pN3b gastric cancer patients. However, in pN3b gastric cancer patients treated with immunotherapy, the optimal ELN threshold requires further exploration to determine.

Objective Chronic atrophic gastritis(CAG)is often accompanied by intestinal flora disorder and intestinal symptoms,forming the phenomenon of"stomach disease involving intestine".This study explored the dynamic correlation between intestinal symptoms and qi-stagnation degree in patients with CAG qi-stagnation syndrome and analyzed the characteristics of gut microbiota from the perspective of"spleen-stomach system serving as the pivotal hub of qi movement"in TCM.Methods According to the syndrome element differentiation method,410 patients with CAG were divided into four groups:non-qi-stagnation group,mild qi-stagnation group,moderate qi-stagnation group and severe qi-stagnation group.Correlation analysis and 16S intestinal flora sequencing technology were used to analyze the correlation and differential flora between the degree of CAG qi-stagnation and intestinal symptoms.Results Patients with CAG qi-stagnation syndrome were often accompanied by intestinal symptoms such as frequent flatulence,poor defecation and alternating loose-constipated stools.The frequency of cases was significantly positively correlated with the degree of qi-stagnation"non-mild-moderate-severe"(P<0.05).There was a difference in the abundance of gut microbiota between the four groups of CAG qi-stagnation none,mild,moderate and severe.The relative abundance of Streptococcus,Subdoligranulum,Eubacterium_coprostanoligenes_group and Haemophilus was positively correlated with the degree of qi-stagnation.The relative abundance of Ruminococcus_torques_group and Butyricicoccus showed a negative correlation,and Haemophilus was statistically significant among the four groups(P<0.05).Conclusion This study can provide clinical evidence and micro-mechanism for the connotation of"gastrointestinal co-morbidities"and"different diseases with the same syndrome",which may open up new ideas for clinical diagnosis and treatment.

Objective·To explore the biological functions and underlying mechanisms of anaphase-promoting complex subunit 10(ANAPC10)in the development and progression of liver hepatocellular carcinoma(LIHC,often abbreviated as HCC).Methods·By integrating data from The Cancer Genome Atlas(TCGA)_LIHC,the hepatitis B virus-related subgroup(HBV)of the China Hepatocellular Carcinoma Genome Project(CHCC),and the Gene Expression Omnibus(GEO),the expression pattern of ANAPC10 in HCC was analyzed.Western blotting and quantitative real-time PCR(q-PCR)were used to verify the findings in HCC cell lines.shRNA-mediated knockdown of ANAPC10 was performed in MHCC-97H and SNU-398 cell lines to investigate the effect of ANAPC10 depletion on the in vitro proliferation of HCC cells.An orthotopic liver cancer model with Anapc10 knockout was constructed using the hydrodynamic tail-vein injection technique in mice to further confirm the impact of ANAPC10 deficiency in the liver on the development and progression of HCC.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed on the RNA-sequencing data from TCGA_LIHC and CHCC_HBV.Results·ANAPC10 was highly expressed in tumor tissues,and its expression level was closely related to patient survival.Downregulation of ANAPC10 in vitro and in vivo effectively inhibited HCC progression.ANAPC10 mainly reprogrammed the metabolism of tumors by affecting the PI3K-AKT-mTOR pathway.In the tumor tissues of the orthotopic liver cancer mouse model in the Anapc10 knockout group,the phosphorylation levels of Akt and S6k were decreased,and changes in the key downstream lipid metabolism proteins Fasn and Scd1 were verified.Conclusion·ANAPC10 is highly expressed in HCC and is positively correlated with poor prognosis.It promotes HCC occurrence and progression by activating the PI3K-AKT-mTOR signaling pathway and enhancing lipid metabolism reprogramming,thereby promoting tumor cell proliferation.These findings expand the understanding of ANAPC10 in tumor progression and suggest potential therapeutic targets for HCC.

Objective·To explore the function and potential mechanism of suppressor of zeste 12(SUZ12)in hepatocellular carcinoma(HCC).Methods·The expression of SUZ12 in HCC patients was analyzed using R language in liver cancer datasets,and relevant survival curves were drawn.Stable knockdown of SUZ12 was established in the liver cancer cell lines LM3 and Huh7.The knockdown efficiency of SUZ12 was assessed using quantitative real-time PCR(qPCR)and Western blotting.Cell proliferation ability was assessed using CCK-8 assay and colony formation assay.Using the hydrodynamic tail vein injection(HTVI)method,Suz12 was knocked out in the livers of fully immunocompetent mice to explore its tumorigenic function in vivo.The molecular mechanism of SUZ12 regulating HCC was explored using The Cancer Genome Atlas(TCGA)database.R language was used to analyze the relationship between SUZ12 and the expression of cancer stem cell(CSC)markers as well as key glycolysis-related genes.Findings were validated in liver cancer cell lines and mouse tumor tissues.Results·The expression of SUZ12 in liver cancer tissues was higher than in adjacent non-tumor tissues,and its expression increased with higher tumor stage.HCC patients with high SUZ12 expression had poorer prognoses.In LM3 and Huh7 liver cancer cell lines,stable knockdown of SUZ12 reduced cell proliferation ability.In the de novo MYC/Trp53-/-mouse liver cancer model,tumor nodule number and size,and tumor burden in liver tissue were reduced after endogenous knockout of Suz12.TCGA analysis showed that high SUZ12 expression in HCC was enriched in multiple tumor proliferation-and metabolism-related pathways.The expression of SUZ12 was positively correlated with CSC markers and key genes in glycolysis pathway.The mRNA levels of CSC markers and key genes in glycolysis pathway were decreased in liver cancer cell lines with stable SUZ12 knockdown and Suz12 knockout mouse HCC tissues.Conclusion·The expression of SUZ12 is significantly increased in HCC patients and is associated with poor prognosis.Stable knockdown of SUZ12 weakens the proliferative ability of liver cancer cells.Knockout of Suz12 in mice in vivo can suppress the occurrence and development of HCC.The high expression of SUZ12 maintains the CSC pool,induces metabolic reprogramming,and promotes the occurrence and progression of HCC.SUZ12 can serve as a potential biomarker for poor prognosis and a novel target for potential therapeutic intervention in HCC.