Colorectal cancer （CRC） is one of the most common cancers， with its incidence ranking high among cancers. It stands as the second leading cause of cancer-related death worldwide. In the early stages， CRC lacks specific symptoms， and most patients are diagnosed at advanced stages， making it a major research focus in the field of gastrointestinal tumors. Currently， clinical CRC treatments face several common challenges， including high surgical risks， frequent metastasis and recurrence， drug resistance， and significant side effects from chemotherapy and radiation therapy. With the development and application of traditional Chinese medicine （TCM）， it has been found that TCM and its active ingredients can effectively inhibit CRC cell proliferation， invasion， migration， and angiogenesis， and promote apoptosis and autophagy， thereby slowing the progression of CRC. This has become a key focus of CRC treatment research. Salvia Miltiorrhiza has multiple pharmacological effects， including activating blood circulation to dispel blood stasis， unlocking meridians to relieve pain， clearing heat to calm irritability， and cooling blood to reduce abscesses. It contains a variety of chemical components， including diterpenoids， phenolic acids， flavonoids， polysaccharides， nitrogen-containing compounds， steroids， and lactone compounds. This review summarized the molecular mechanisms of Salvia miltiorrhiza and its active ingredients in the treatment of CRC. It is found that these ingredients exert anti-CRC effects through various molecular mechanisms， including cell cycle arrest， promotion of apoptosis， inhibition of cell invasion and migration， induction of autophagy， suppression of tumor angiogenesis， and remodeling of the tumor microenvironment. The review aims to provide new insights for the drug development and clinical application of Salvia miltiorrhiza in CRC treatment.

Complex elbow instability, also known as elbow fracture and dislocation, is one of the most challenging conditions in the field of orthopaedic trauma. Different ways of external force action can lead to various structural injuries of the elbow joint. Common types include posterolateral rotatory instability, posteromedial rotatory instability, posterior Monteggia injuries, and anterior trans-olecranon fracture-dislocation. The complexity of these injury mechanisms imposes significant demands on clinical assessment and treatment strategies. In recent years, with the continuous advancement of three-dimensional (3D) digital technologies and artificial intelligence (AI), the strategies for precise treatment of elbow disorders have been gradually improved. 3D reconstruction and 3D printing technologies have been increasingly integrated into preoperative planning and personalized prosthesis design in elbow surgery, enhancing both the visualization and accuracy of surgical interventions. AI technology has been initially applied in the auxiliary diagnosis of elbow fractures and joint effusion, and has also provided diversified technical means for elbow surgery medical education. The emergence of 3D digital and AI technologies presents new opportunities for achieving precision medicine in the management of complex elbow instability.

Complex elbow instability, also known as elbow fracture and dislocation, is one of the most challenging conditions in the field of orthopaedic trauma. Different ways of external force action can lead to various structural injuries of the elbow joint. Common types include posterolateral rotatory instability, posteromedial rotatory instability, posterior Monteggia injuries, and anterior trans-olecranon fracture-dislocation. The complexity of these injury mechanisms imposes significant demands on clinical assessment and treatment strategies. In recent years, with the continuous advancement of three-dimensional (3D) digital technologies and artificial intelligence (AI), the strategies for precise treatment of elbow disorders have been gradually improved. 3D reconstruction and 3D printing technologies have been increasingly integrated into preoperative planning and personalized prosthesis design in elbow surgery, enhancing both the visualization and accuracy of surgical interventions. AI technology has been initially applied in the auxiliary diagnosis of elbow fractures and joint effusion, and has also provided diversified technical means for elbow surgery medical education. The emergence of 3D digital and AI technologies presents new opportunities for achieving precision medicine in the management of complex elbow instability.

B7-H3,a member of the B7 family within the immunoglobulin superfamily,is aberrantly expressed in tumor tissues and can be in-duced by immune cells,but is minimally expressed or not expressed in normal tissues.B7-H3 has gained attention for its ability to induce malignant behaviors in tumors and promote cancer progression through various complex pathways.Immunotherapy targeting B7-H3 has shown significant efficacy in clinical trials by modulating the immune system to enhance anti-tumor immune responses.We comprehens-ively summarize the abnormal expression and impact of B7-H3 in various human tumor types,and its role in immunotherapy,highlighting recent advances in clinical research targeting B7-H3.These findings suggest that B7-H3 holds great value as a future target for cancer dia-gnosis and treatment.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

B7-H3,a member of the B7 family within the immunoglobulin superfamily,is aberrantly expressed in tumor tissues and can be in-duced by immune cells,but is minimally expressed or not expressed in normal tissues.B7-H3 has gained attention for its ability to induce malignant behaviors in tumors and promote cancer progression through various complex pathways.Immunotherapy targeting B7-H3 has shown significant efficacy in clinical trials by modulating the immune system to enhance anti-tumor immune responses.We comprehens-ively summarize the abnormal expression and impact of B7-H3 in various human tumor types,and its role in immunotherapy,highlighting recent advances in clinical research targeting B7-H3.These findings suggest that B7-H3 holds great value as a future target for cancer dia-gnosis and treatment.

Humans ; Carcinogenesis/genetics* ; Gene Expression Regulation, Neoplastic ; Genes, cdc ; Nasopharyngeal Carcinoma/genetics* ; Nasopharyngeal Neoplasms/genetics* ; RNA Helicases/metabolism*

Objective:To investigate the value of detection of cell-free fetal DNA in maternal peripheral blood for Down's syndrome screening.Methods:A total of 1667 pregnant women who were at a higher risk of having a baby with Down's syndrome who received Down's syndrome screening in the First People's Hospital of Datong between January 2020 and March 2021 were prospectively analyzed. After detection of cell-free fetal DNA in maternal peripheral blood, pregnant women who were at a higher risk of having a baby with Down's syndrome decided whether to accept amniocentesis for fetal karyotype. Then follow-up was performed for collecting related information. Finally, detection results of cell-free fetal DNA in maternal peripheral blood, fetal karyotype results and pregnancy outcomes were analyzed.Results:The positive predictive value of detecting cell-free fetal DNA in maternal peripheral blood for trisomy 21, trisomy 18, and trisomy 13 and chromosome abnormality were 100.0%, 100.0%, 0.0% and 66.7%, respectively. The sensitivity and total specificity of detecting cell-free fetal DNA in maternal peripheral blood were 100.0% and 99.8%, respectively. The false positive rate of detecting cell-free fetal DNA in maternal peripheral blood for trisomy 13 and chromosome abnormality was 0.12% and 0.06%, respectively.Conclusion:A high degree of coincidence between detection results of cell-free fetal DNA in maternal peripheral blood and fetal karyotype results can be used as a prenatal screening for Down's syndrome. This has certain guiding significance for invasive prenatal diagnosis through amniocentesis-based fetal karyotype analysis.

Objective:To investigate the influencing factors for lymph node metastasis and prognosis in stage T1 and T2 esophageal squamous cell carcinoma after radical surgery and construct nomogram prediction models.Methods:The retrospective cohort study was conducted. The clinico-pathological data of 672 patients with T1 and T2 esophageal squamous cell carcinoma who were admitted to the Affiliated Hospital of North Sichuan Medical College from January 2014 to December 2019 were collected. There were 464 males and 208 females, aged (65±8)years. All patients under-went radical esophagectomy+2 or 3 field lymph node dissection. Observation indicators: (1) lymph node dissection, metastasis and follow-up. (2) risk factors for lymph node metastasis of esophageal cancer after radical resection. (3) prognostic factors of esophageal cancer after radical resection. (4) construction and evaluation of the prediction models of lymph node metastasis and prognosis of esophageal cancer after radical resection. Follow-up was conducted using outpatient examination, telephone and internet consultations to detect survival of patients up to April 2021. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Kaplan-Meier method was used to calculate survival rate and draw survival curve. Log-Rank test was used for survival analysis. Logistic regression model was used for univariate and multivariate analyses of risk for lymph node metastasis, and COX regression model was used for univariate and multivariate analyses of prognosis. Based on the results of multi-variate analysis, the nomogram prediction models for lymph node metastasis and prognosis predic-tion were constructed. The prediction discrimination of the nomogram models were evaluated using the area under curve (AUC) of the receiver operating characteristic curve (ROC). The calibration curve was used to evaluate the prediction consistency of the models. Results:(1) Lymph node dissection, metastasis and follow-up. The number of lymph node dissected was 14±8 and the number of lymph node metastasis was 2(range, 1?19) in 672 patients. Of the 672 patients, there were 182 cases had lymph node metastasis, including 58 cases in T1 stage and 124 cases in T2 stage. All 672 patients were followed up for 38 (range, 1?85)months. The average overall survival time of 672 patients was 65 months, with the 1-, 3-, 5-year overall survival rate as 89.0%, 74.3%, 66.0%, respectively. The average overall survival time of 325 patients in T1 stage and 347 patients in T2 stage were 70 months and 61 months. The 1-, 3-, 5-year overall survival rate of 325 patients in T1 stage and 347 patients in T2 stage were 95.0%, 83.5%, 73.4% and 87.4%, 69.9%, 59.2%, respectively, showing a significant difference in survival between them ( χ2=14.51, P<0.05). (2) Risk factors for lymph node metastasis of esophageal cancer after radical resection. Results of univariate analysis showed that tumor location, tumor histological grade, tumor T staging were related factors affecting lymph node metastasis of esophageal cancer after radical resection ( odds ratio=1.40, 1.54, 2.56, 95% confidence interval as 1.07?1.85, 1.20?1.99, 1.79-3.67, P<0.05). Results of multivariate analysis showed that tumor location, tumor histological grade, tumor T staging were independent factors affecting lymph node metastasis ( odds ratio=1.42, 1.61, 2.63, 95% confidence interval as 1.07?1.89, 1.25?2.09, 1.82?3.78, P<0.05). (3) Prognostic factors of esophageal cancer after radical resection. Results of univariate analysis showed that preoperative comorbidities, postoperative complications, tumor histological grade (G3), tumor T staging, tumor N staging (N1 stage, N2 stage, N3 stage), tumor TNM staging (Ⅲ stage, Ⅳ stage) were related factors affecting prognosis of esophageal cancer after radical resection ( hazard ratio= 1.48, 1.64, 2.23, 1.85, 2.09, 4.48, 4.97, 3.54, 5.53, 95% confidence interval as 1.08?2.03, 1.20?2.23, 1.47?3.39, 1.34?2.54, 1.44?3.04, 2.89?6.95, 1.57?15.73, 2.48?5.05, 1.73?17.68, P<0.05). Results of multivariate analysis showed that preoperative comorbidities, G3 of tumor histological grade, T2 stage of tumor T staging, N1 stage, N2 stage, N3 stage of tumor N staging were independent risk factors affecting prognosis of esophageal cancer after radical resection ( hazard ratio=1.57, 1.89, 1.63, 1.71, 3.72, 3.90, 95% confidence interval as 1.14?2.16, 1.23?2.91, 1.17?2.26, 1.16?2.51, 2.37?5.83, 1.22?12.45, P<0.05). (4) Construction and evaluation of the prediction models of lymph node metastasis and prognosis of esophageal cancer after radical resection. Based on the results of multivariate analysis, tumor location, tumor histological grade, tumor T staging were applied to construct a nomo-gram model for lymph node metastasis prediction of esophageal cancer after radical resection, the score of tumor location, tumor histological grade, tumor T staging were 82, 100, 100, respectively, and the sum of the scores corresponding to the lymph node metastasis rate. Preoperative comor-bidity, tumor histological grade, tumor T staging, tumor N staging were applied to construct a nomo-gram model for 1-, 3-, 5-year overall survival rate prediction of esophageal cancer after radical resection, the score of preoperative comorbidity, tumor histological grade, tumor T staging, tumor N staging were 23, 38, 27, 100, respectively, and the sum of the scores corres-ponding to the 1-, 3-, 5-year overall survival rate. Results of ROC showed that the AUC of nomogram model for lymph node metastasis prediction after radical esophagectomy was 0.66 (95% confidence interval as 0.62?0.71, P<0.05). The AUC of nomogram model for 1-, 3-, 5-year overall survival rate prediction after radical esophagectomy were 0.73, 0.74, 0.71 (95% confidence intervals as 0.66?0.80, 0.68?0.79, 0.65?0.78, P<0.05). Results of calibration curve showed that the predicted lymph node metastasis rate and the predicted 1-, 3-, 5-year overall survival rate by nomogram models were consistent with the actual lymph node metastasis rate and 1-, 3-, 5-year overall survival rate. Conclusions:Tumor location, tumor histological grade, tumor T staging are independent factors affecting lymph node metastasis in T1 and T2 esophageal squamous cell carcinoma after radical surgery and nomogram model constructed by these indicators can predict the lymph node metas-tasis rate. Preoperative comor-bidities, G3 of tumor histological grade, T2 stage of tumor T staging, N1 stage, N2 stage, N3 stage of tumor N staging are independent risk factors affecting prognosis and nomogram model constructed by these indicators can predict the overall survival rate of patients after surgery.

Because there is no serosal layer in the esophagus, cT4b stage esophageal cancer is prone to invade trachea, lung, aorta and other important organs with tumor metastasis, and the overall prognosis is very poor. The clinical results of radical chemotherapy or radiotherapy for these patients with advanced unresectable esophageal cancer are not ideal. In recent years, with the proposal of conversion surgery, patients with advanced unresectable esophageal cancer, surgical resection should be performed after the tumor-lowering stage and achieved through induction therapy. Some studies have reported its effectiveness and feasibility. However, there are different studies and reports on induction therapy regimens and postoperative survival rates. This paper reviews the development, induction therapy methods, surgical efficacy and prognosis of conversion surgery, aiming to summarize the clinical application of conversion surgery in recent years. To provide a theoretical basis for further formulation of the treatment strategy of this mode.