ObjectiveTo explore effect of Xianlian Jiedu prescription on the recurrence of colorectal cancer （CRC） and investigate the related mechanisms. MethodsA postoperative recurrence model was established in 25 Balb/c mice by injecting CT26 cells subcutaneously into the armpit， followed by surgical removal of 99% of the subcutaneous tumor. The mice were randomly divided into model group， low-dose Xianlian Jiedu prescription （XLJDP-L） group （6.45 g·kg^-1·d^-1）， medium-dose Xianlian Jiedu prescription （XLJDP-M） group （12.9 g·kg^-1·d^-1）， high-dose Xianlian Jiedu prescription （XLJDP-H） group （25.8 g·kg^-1·d^-1）， and 5-fluorouracil （5-FU） group （1×10^-3 g·kg^-1·d^-1）. The mice were euthanized after 14 days of continuous intervention， and recurrent tumor tissue was harvested. Hematoxylin and eosin （HE） staining was used to observe pathological and morphological changes in the recurrent tumor tissue. Immunohistochemistry （IHC） was employed to assess the expression of proliferating cell nuclear antigen （Ki67）， vascular endothelial growth factor （VEGF）， and platelet-endothelial cell adhesion molecule （CD31） in recurrent tumor tissue. The Western blot was used to detect the protein expression levels of angiopoietin-2 （ANG-2）， VEGF， phosphorylated-protein kinase B （p-Akt）， protein kinase B （Akt）， phosphorylated-phosphatidylinositol 3-kinase （p-PI3K）， and phosphatidylinositol 3-kinase （PI3K） in recurrent tumor tissue. ResultsBefore treatment， there were no statistical differences in tumor volume， tumor weight， and body mass among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group， indicating model stability. After treatment， compared with those in the model group， the tumor volume and tumor weight in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01）， showing dose dependency. Meanwhile， there were no significant differences in body weight among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group. HE staining showed that compared with that in the model group， tumor tissue in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group had loosely arranged cells， increased intercellular spaces， small and shriveled nuclei， light staining， fewer mitotic figures and atypical nuclei， and increased necrotic areas. IHC showed that compared with those of the model group， the positive rates of Ki67， VEGF， and CD31 in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01） in a dose-dependent manner. Western blot results showed that compared with those of the model group， the protein expression levels of ANG-2 and VEGF in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly downregulated （P<0.05， P<0.01）， and the p-Akt/Akt and p-PI3K/PI3K ratios were significantly decreased in a dose-dependent manner （P<0.05， P<0.01）. ConclusionXianlian Jiedu prescription significantly inhibits the recurrence of CRC in mice after subcutaneous tumor surgery. The mechanism may involve regulating the PI3K/Akt pathway and downregulating key angiogenic proteins such as ANG-2， VEGF， and CD31.

Objective:To analyze the clinical features and genetic sequencing results of a patient with Kallmann syndrome(KS) carrying digenic mutations who initially presented with osteoporosis, and to enhance awareness of this disease phenotype.Methods:Clinical data were collected, and peripheral blood DNA was extracted for whole-exome sequencing. Relevant literature was reviewed to summarize phenotypes associated with digenic/oligogenic variants involving CHD7.Results:The patient exhibited back pain, delayed development of secondary sexual characteristics, and hyposmia. Laboratory tests revealed reduced sex hormones and gonadotropin levels, while pituitary imaging was unremarkable. Bone mineral density imaging confirmed osteoporosis, and thoracolumbar X-rays showed multiple vertebral compression fractures. Genetic analysis identified a heterozygous splice-site mutation in CHD7(c.2698-1G>T) and a heterozygous missense mutation in WDR11(c.439G>A: p.D147N). According to ACMG criteria, the CHD7 mutation was classified as pathogenic, while the WDR11 variant was defined as a variant of uncertain significance(VUS). Literature review indicated that 40% of KS patients with digenic/oligogenic variants involving CHD7 presented with hearing or ocular abnormalities.Conclusion:This study reports a novel CHD7 mutation and a previously undescribed digenic combination of CHD7 and WDR11 variants in a KS patient. CHD7 variants may be implicated in auditory or ocular involvement in KS cases with digenic/oligogenic inheritances. KS patients may also manifest skeletal abnormalities in addition to hypogonadotropic hypogonadism. Tailored management of sex hormones and osteoporosis therapies across life stages is essential for optimizing bone health in KS.

Objective To evaluate the efficacy of narrow-band ultraviolet B(NB-UVB)phototherapy combined with enteric-coated thymopeptide in treatment of pityriasis rosea and its impacts on vascular cell adhesion molecule-1(VCAM-1)and intercellular adhesion molecule-1(ICAM-1).Methods Eighty patients with pityriasis rosea who were admitted to Haimen District People's Hospital from September 2022 to February 2024 were selected as research objects.They were divided into treatment group(n=41)and control group(n=39)according to random number table method.The control group was treated with NB-UVB phototherapy for one month,and the treatment group received NB-UVB phototherapy and enteric-coated thymopeptide for one month.The efficacy,rash-related time changes,symptom improvement,Pityriasis Rosea Severity Score(PRSS),VCAM-1 and ICAM-1 levels,and adverse events were compared between the two groups.Results The total effective rate of the treatment group was higher than that of the control group.The skin rash came to a halt and disappeared in a shorter time in the treatment group than in the control group,while the time to itch cessation in the treatment group was significantly longer than that in the control group(all P<0.05).The PRSS scores and levels of VCAM-1 and ICAM-1 in the treatment group were lower than those in the control group after treatment(all P<0.05).There was no significant difference in the incidence of adverse reactions between the two groups(P>0.05).Conclusion NB-UVB phototherapy combined with enteric-coated thymopeptide can enhance the therapeutic effects on pityriasis rosea and reduce VCAM-1 and ICAM-1 levels.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To explore the potential targets and pathways of Yanghe Decoction for the treatment of granulomatous lobular mastitis(GLM)using network pharmacology and molecular docking;To experimentally validate its mechanism.Methods Active components and targets of Yanghe Decoction were screened through TCMSP and TCM-ID.GLM targets were retrieved from GeneCards and OMIM databases,the intersection of drug targets and disease targets was taken,and a protein interaction network was constructed.GO and KEGG pathway enrichment analysis was performed.Molecular docking of main components and key targets was conducted.Totally 60 SD rats were randomly divided into blank group,model group,prednisolone group(0.005 g/kg),and Yanghe Decoction low-,medium-and high-dosage groups(2.5,5.0,10.0 g/kg).Except for the blank group,GLM models were constructed for all other groups,and corresponding drug interventions were given to each treatment group for 14 consecutive days.The body mass and breast mass size of rats were recorded,breast ultrasound images were collected,and the inflammatory index score was scored.The pathological morphology of rat breast tissue was observed through HE staining.ELISA was used to detect the contents of IL-1β,IL-6 and TNF-α in serum.Western blot was used to detect the protein expressions of IL-1β,IL-6,TNF-α,IκBα,TLR4 and p65 in breast tissue.Results Yanghe Decoction was screened for 140 active components,363 targets,and 32 intersecting targets with GLM,mainly involving NF-κB,PI3K-Akt signaling pathway,etc.Molecular docking showed that the main components had good binding activities with key targets.Compared with the blank group,rats in the model group showed obvious redness and swelling of the breasts with a large range of lumps and a significant increase in mammary inflammation index score(P<0.01),and ultrasound could detect a large range of patchy hypoechoic areas,and pathological changes showed a variety of inflammatory cell infiltration in the mammary lobules and the formation of tiny abscesses,and the serum contents of IL-1β,IL-6 and TNF-α in the model group significantly increased(P<0.01),the protein expressions of IL-1β,IL-6,TNF-α,TLR4 and p65 in breast tissue significantly increased(P<0.01),and the protein expression of IκBα significantly decreased(P<0.05).Compared with the model group,the erythema of the breasts of the rats in each treatment group was improved,and the extent of the lumps was reduced,and the reduction in the size of the lumps in the prednisolone group and the Yanghe Decoction high-dosage group was obvious(P<0.05).The inflammatory index score of prednisolone group and Yanghe Decoction groups decreased to different degrees(P<0.01),ultrasound showed a smaller range of hypoechoic area,pathology showed a reduction in the infiltration of inflammatory cells,and a reduction in the formation of granulomas and abscesses,and the prednisolone group and Yanghe Decoction groups significantly down-regulated the contents of IL-1β and TNF-α in serum(P<0.01),and the prednisolone group and Yanghe Decoction middle-and high-dosage groups significantly down-regulated the content of IL-6 in serum(P<0.05,P<0.01),the expression of TLR4 protein in breast tissue was significantly decreased in Yanghe Decoction high-dosage group(P<0.05),the expressions of IL-1β,IL-6,TNF-α and p65 proteins in prednisolone group and Yanghe Decoction groups were significantly decreased(P<0.05,P<0.01),and the expression of the protein of IκBα significantly increased(P<0.01).Conclusion Yanghe Decoction can reduce the inflammatory response in GLM rats,and its mechanism may be related to the inhibition of TLR4/NF-κB signalling pathway.

Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.

Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To explore the potential targets and pathways of Yanghe Decoction for the treatment of granulomatous lobular mastitis(GLM)using network pharmacology and molecular docking;To experimentally validate its mechanism.Methods Active components and targets of Yanghe Decoction were screened through TCMSP and TCM-ID.GLM targets were retrieved from GeneCards and OMIM databases,the intersection of drug targets and disease targets was taken,and a protein interaction network was constructed.GO and KEGG pathway enrichment analysis was performed.Molecular docking of main components and key targets was conducted.Totally 60 SD rats were randomly divided into blank group,model group,prednisolone group(0.005 g/kg),and Yanghe Decoction low-,medium-and high-dosage groups(2.5,5.0,10.0 g/kg).Except for the blank group,GLM models were constructed for all other groups,and corresponding drug interventions were given to each treatment group for 14 consecutive days.The body mass and breast mass size of rats were recorded,breast ultrasound images were collected,and the inflammatory index score was scored.The pathological morphology of rat breast tissue was observed through HE staining.ELISA was used to detect the contents of IL-1β,IL-6 and TNF-α in serum.Western blot was used to detect the protein expressions of IL-1β,IL-6,TNF-α,IκBα,TLR4 and p65 in breast tissue.Results Yanghe Decoction was screened for 140 active components,363 targets,and 32 intersecting targets with GLM,mainly involving NF-κB,PI3K-Akt signaling pathway,etc.Molecular docking showed that the main components had good binding activities with key targets.Compared with the blank group,rats in the model group showed obvious redness and swelling of the breasts with a large range of lumps and a significant increase in mammary inflammation index score(P<0.01),and ultrasound could detect a large range of patchy hypoechoic areas,and pathological changes showed a variety of inflammatory cell infiltration in the mammary lobules and the formation of tiny abscesses,and the serum contents of IL-1β,IL-6 and TNF-α in the model group significantly increased(P<0.01),the protein expressions of IL-1β,IL-6,TNF-α,TLR4 and p65 in breast tissue significantly increased(P<0.01),and the protein expression of IκBα significantly decreased(P<0.05).Compared with the model group,the erythema of the breasts of the rats in each treatment group was improved,and the extent of the lumps was reduced,and the reduction in the size of the lumps in the prednisolone group and the Yanghe Decoction high-dosage group was obvious(P<0.05).The inflammatory index score of prednisolone group and Yanghe Decoction groups decreased to different degrees(P<0.01),ultrasound showed a smaller range of hypoechoic area,pathology showed a reduction in the infiltration of inflammatory cells,and a reduction in the formation of granulomas and abscesses,and the prednisolone group and Yanghe Decoction groups significantly down-regulated the contents of IL-1β and TNF-α in serum(P<0.01),and the prednisolone group and Yanghe Decoction middle-and high-dosage groups significantly down-regulated the content of IL-6 in serum(P<0.05,P<0.01),the expression of TLR4 protein in breast tissue was significantly decreased in Yanghe Decoction high-dosage group(P<0.05),the expressions of IL-1β,IL-6,TNF-α and p65 proteins in prednisolone group and Yanghe Decoction groups were significantly decreased(P<0.05,P<0.01),and the expression of the protein of IκBα significantly increased(P<0.01).Conclusion Yanghe Decoction can reduce the inflammatory response in GLM rats,and its mechanism may be related to the inhibition of TLR4/NF-κB signalling pathway.

Objective:To analyze the clinical features and genetic sequencing results of a patient with Kallmann syndrome(KS) carrying digenic mutations who initially presented with osteoporosis, and to enhance awareness of this disease phenotype.Methods:Clinical data were collected, and peripheral blood DNA was extracted for whole-exome sequencing. Relevant literature was reviewed to summarize phenotypes associated with digenic/oligogenic variants involving CHD7.Results:The patient exhibited back pain, delayed development of secondary sexual characteristics, and hyposmia. Laboratory tests revealed reduced sex hormones and gonadotropin levels, while pituitary imaging was unremarkable. Bone mineral density imaging confirmed osteoporosis, and thoracolumbar X-rays showed multiple vertebral compression fractures. Genetic analysis identified a heterozygous splice-site mutation in CHD7(c.2698-1G>T) and a heterozygous missense mutation in WDR11(c.439G>A: p.D147N). According to ACMG criteria, the CHD7 mutation was classified as pathogenic, while the WDR11 variant was defined as a variant of uncertain significance(VUS). Literature review indicated that 40% of KS patients with digenic/oligogenic variants involving CHD7 presented with hearing or ocular abnormalities.Conclusion:This study reports a novel CHD7 mutation and a previously undescribed digenic combination of CHD7 and WDR11 variants in a KS patient. CHD7 variants may be implicated in auditory or ocular involvement in KS cases with digenic/oligogenic inheritances. KS patients may also manifest skeletal abnormalities in addition to hypogonadotropic hypogonadism. Tailored management of sex hormones and osteoporosis therapies across life stages is essential for optimizing bone health in KS.