The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Objective:To investigate the inpact of thyroid cancer-derived cancer-associated fibroblasts(CAF) autophagy on papillary thyroid cancer(PTC).Methods:CAF and normal fibroblasts were isolated from cancerous and adjacent normal thyroid tissues from four PTC patients. Expressions of fibroblast activation protein(FAP) and α-smooth muscle actin in cells were assessed. Conditioned medium of CAF and normal fibroblasts were prepared and used to culture PTC cells. The effects of CAF and normal fibroblasts on survival, proliferation, migration, invasion and iodine uptake of PTC cells were evaluated through cell proliferation assay, cell scratch assay, cell invasion assay, and cell iodine uptake assay. The autophagy level of CAF was also evaluated. Autophagy inhibition and activation were used to regulate the autophagy of CAF, and then their effects on PTC cell proliferation, migration and invasion were further evaluated. The in vivo effect of CAF autophagy on PTC xenograft tumor growth was evaluated.Results:CAF exhibited higher FAP expression and basal autophagy levels. PTC cells co-cultured with CAF-conditioned media showed enhanced proliferation, migration, invasion, and reduced iodine uptake. Autophagy inhibition reduced these effects, while autophagy activation further promoted them. In vivo, inhibiting CAF autophagy suppressed tumor growth.Conclusions:CAF promotes PTC cell malignancy through autophagy activation, enhancing proliferation, migration, and invasion while reducing iodine uptake.

By establishing a complete data organizational structure,technical architecture,quality control framework,and concept framework,hospitals can effectively regulate data management,data security,and quality monitoring,achieving full-cycle monitoring of data management.Breaking down the resource barriers of data systems,improving the efficiency of data usage and circulation,and promoting the increase in data value.It drives the hospital's scientific research innovation,medical insurance cost control,data value monetization,and the improvement of high-quality capabilities.Through the establishment of a sustainable digital culture and operational philosophy,it integrates data with hospital assets,continuously enhancing the value realization of hospital data in operations,management,diagnosis and treatment,and scientific research.

Objective To analyze the expression and prognostic association of transmembrane 7 superfamily member 2(TM7SF2)in colorectal cancer using bioinformatics techniques.Methods The differential expression levels and clinical relevance of TM7SF2 mRNA in normal tissues and colorectal tumor tissues were analyzed using The Cancer Genome Atlas(TCGA)database.Evaluate the impact of TM7SF2 gene expression levels on patient prognosis through univariate and multivariate Cox regression analysis.Gene sets were download and score biological function changes by using the gene set variation analysis algorithm.Patients were divide into high and low expression groups based on TM7SF2 gene expression levels and the differences in signaling pathways with gene set enrichment analysis(GSEA)analyzed;use the CIBERSORT tool to assess the relationship between tumor immune cell infiltration and TM7SF2,apply the genomics of drug sensitivity in cancer(GDSC)database to predict the drug chemosensitivity of this gene,and describe the association between TM7SF2 gene expression and clinical indicators in colorectal cancer patients.Results Compared with normal tissues,the expression level of TM7SF2 in tumor tissues was significantly upregulated.Survival analysis indicates that high expression of the TM7SF2 gene was associated with poor prognosis in colorectal cancer patients.Through univariate and multivariate Cox regression model analysis,it was found that the expression level of TM7SF2 was a risk factor for the prognosis of colorectal cancer.Enrichment analysis suggested that TM7SF2 may play a role in pathways such as DNA replication,Wnt signaling pathway,and pentose phosphate pathway.TM7SF2 was positively correlated with regulatory T cells and CD8+T cells,and negatively correlated with memory CD4+T cells and neutrophils.In terms of drug sensitivity,TM7SF2 is correlated with the sensitivity to Camptothecin,Cisplatin,Docetaxel,Nilotinib,Olaparib,and Axitinib.Regression analysis showed that the contribution of TM7SF2 expression distribution to different clinical indicators varies.Conclusion TM7SF2 is highly expressed in colorectal cancer tissues and is associated with poor patient prognosis,can be used as a prognostic biomarker.

At present,the laboratory medicine industry in China has developed rapidly,with various new technologies and methods emerge one after another. However,the current training process of laboratory medicine technology professionals still follows a training model that emphasizes theyory over practice,and the quality of training personnel is far from the requirments of the current development of the laboratory medicine industry in China. In order to effectively alleviate the current situation of the shortage of practical high-quality laboratory medicine talents,it is urgent to reform the teaching of laboratory medicine. The author of this paper puts forward the "Four-in-one" personnel training mode which is suitable for the development of laboratory medicine in China. It is proposed to explore a new teaching mode on the basis of the existing one,giving full play to the students' initiative and innovation,and providing new ideas for training high-quality laboratory medicine professionals.

Computational analysis can accurately detect drug-gene interactions(DGIs)cost-effectively.However,transductive learning models are the hotspot to reveal the promising performance for unknown DGIs(both drugs and genes are present in the training model),without special attention to the unseen DGIs(both drugs and genes are absent in the training model).In view of this,this study,for the first time,proposed an inductive learning-based model for the precise identification of unseen DGIs.In our study,by integrating disease nodes to avoid data sparsity,a multi-relational drug-disease-gene(DDG)graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions.Following the extraction of graph features by utilizing graph embedding algorithms,our next step was the retrieval of the attributes of individual gene and drug nodes.In this way,a hybrid feature charac-terization was represented by integrating graph features and node attributes.Machine learning(ML)models were built,enabling the fulfillment of transductive predictions of unknown DGIs.To realize inductive learning,this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights,enabling inductive predictions for the unseen DGIs.Consequently,the final model was superior to existing models,with significant improvement in predicting both external unknown and unseen DGIs.The practical feasibility of our model was further confirmed through case study and molecular docking.In summary,this study establishes an efficient data-driven approach through the proposed modeling,suggesting its value as a promising tool for accelerating drug discovery and repurposing.

Objective To investigate the effects of Buyang Huanwu Decoction on nerve regeneration after cerebral ischemia in mice based on Cav-1/Notch1/Hes1 signaling pathway.Methods Wild(WT)and Cav-1-/-(KO)male mice were randomly divided into sham-operation group,model group and Buyang Huanwu Decoction group,with 10 mice in each group.The middle cerebral artery occlusion method was used to construct the mouse cerebral ischemia model.After modeling,5-ethynyl-2'-deoxyuridine(EdU)was injected intraperitoneally every 7 days for 3 times(with an interval of 8 hours).Buyang Huanwu Decoction group was given 18.5 g/kg Buyang Huanwu Decoction by gavage daily,while the sham-operation group and model group were given distilled water of equal volume by gavage for 21 consecutive days.The neurological function of mice was evaluated using modified neurological severity score,brain tissue morphology was observed through HE staining,nerve regeneration in the ischemic side injury area was detected using dual immunofluorescence staining,Western blot was used to detect the expressions of Notch1 and Hes1 protein in ischemic cortical area.Results Compared with the same genotype sham-operation group,the neurological function score of the mice in the WT and KO model groups significantly increased(P<0.01),the arrangement of neurons in the ischemic cortical area was disordered,with nucleoli shrinking,marginalization,and even rupture,widened intercellular spaces,intracellular edema and vacuolar changes,the co-localization of EdU/Nestin,EdU/DCX and EdU/NeuN in the ischemic side injury area significantly increased(P<0.01),and the expression of Notch1 and Hes1 protein in ischemic cortical area significantly increased(P<0.01).Compared with the same genotype model group,the neurological function score of the WT and KO Buyang Huanwu Decoction group significantly decreased(P<0.01),the neurons in the ischemic cortical area were arranged neatly and structurally intact,with reduced intercellular space and clear nucleoli,the co-localization of EdU/Nestin,EdU/DCX and EdU/NeuN in the ischemic side injury area was significantly increased(P<0.01),and the expression of Notch1 and Hes1 protein in ischemic cortical area were significantly decreased(P<0.01).Compared with the corresponding WT group,the neurological function scores of mice in the KO model group and KO Buyang Huanwu Decoction group significantly increased(P<0.01),the neurons in the ischemic cortical area had more severe nucleolar condensation,marginalization and rupture,with more vacuolar changes and ischemic injury,the co-localization of EdU/Nestin and EdU/NeuN in the ischemic side injury area was significantly decreased(P<0.01),and the expression of Notch1 and Hes1 proteins in ischemic cortical area significantly increased(P<0.01).Conclusion Buyang Huanwu Decoction can promote nerve regeneration after cerebral ischemia,which may be related to the regulation of Cav-1 thereby inhibition Notch1//Hes1 signaling pathway activity.

Objective To analyze the expression and prognostic association of transmembrane 7 superfamily member 2(TM7SF2)in colorectal cancer using bioinformatics techniques.Methods The differential expression levels and clinical relevance of TM7SF2 mRNA in normal tissues and colorectal tumor tissues were analyzed using The Cancer Genome Atlas(TCGA)database.Evaluate the impact of TM7SF2 gene expression levels on patient prognosis through univariate and multivariate Cox regression analysis.Gene sets were download and score biological function changes by using the gene set variation analysis algorithm.Patients were divide into high and low expression groups based on TM7SF2 gene expression levels and the differences in signaling pathways with gene set enrichment analysis(GSEA)analyzed;use the CIBERSORT tool to assess the relationship between tumor immune cell infiltration and TM7SF2,apply the genomics of drug sensitivity in cancer(GDSC)database to predict the drug chemosensitivity of this gene,and describe the association between TM7SF2 gene expression and clinical indicators in colorectal cancer patients.Results Compared with normal tissues,the expression level of TM7SF2 in tumor tissues was significantly upregulated.Survival analysis indicates that high expression of the TM7SF2 gene was associated with poor prognosis in colorectal cancer patients.Through univariate and multivariate Cox regression model analysis,it was found that the expression level of TM7SF2 was a risk factor for the prognosis of colorectal cancer.Enrichment analysis suggested that TM7SF2 may play a role in pathways such as DNA replication,Wnt signaling pathway,and pentose phosphate pathway.TM7SF2 was positively correlated with regulatory T cells and CD8+T cells,and negatively correlated with memory CD4+T cells and neutrophils.In terms of drug sensitivity,TM7SF2 is correlated with the sensitivity to Camptothecin,Cisplatin,Docetaxel,Nilotinib,Olaparib,and Axitinib.Regression analysis showed that the contribution of TM7SF2 expression distribution to different clinical indicators varies.Conclusion TM7SF2 is highly expressed in colorectal cancer tissues and is associated with poor patient prognosis,can be used as a prognostic biomarker.

Objective:To investigate the inpact of thyroid cancer-derived cancer-associated fibroblasts(CAF) autophagy on papillary thyroid cancer(PTC).Methods:CAF and normal fibroblasts were isolated from cancerous and adjacent normal thyroid tissues from four PTC patients. Expressions of fibroblast activation protein(FAP) and α-smooth muscle actin in cells were assessed. Conditioned medium of CAF and normal fibroblasts were prepared and used to culture PTC cells. The effects of CAF and normal fibroblasts on survival, proliferation, migration, invasion and iodine uptake of PTC cells were evaluated through cell proliferation assay, cell scratch assay, cell invasion assay, and cell iodine uptake assay. The autophagy level of CAF was also evaluated. Autophagy inhibition and activation were used to regulate the autophagy of CAF, and then their effects on PTC cell proliferation, migration and invasion were further evaluated. The in vivo effect of CAF autophagy on PTC xenograft tumor growth was evaluated.Results:CAF exhibited higher FAP expression and basal autophagy levels. PTC cells co-cultured with CAF-conditioned media showed enhanced proliferation, migration, invasion, and reduced iodine uptake. Autophagy inhibition reduced these effects, while autophagy activation further promoted them. In vivo, inhibiting CAF autophagy suppressed tumor growth.Conclusions:CAF promotes PTC cell malignancy through autophagy activation, enhancing proliferation, migration, and invasion while reducing iodine uptake.

By establishing a complete data organizational structure,technical architecture,quality control framework,and concept framework,hospitals can effectively regulate data management,data security,and quality monitoring,achieving full-cycle monitoring of data management.Breaking down the resource barriers of data systems,improving the efficiency of data usage and circulation,and promoting the increase in data value.It drives the hospital's scientific research innovation,medical insurance cost control,data value monetization,and the improvement of high-quality capabilities.Through the establishment of a sustainable digital culture and operational philosophy,it integrates data with hospital assets,continuously enhancing the value realization of hospital data in operations,management,diagnosis and treatment,and scientific research.