Regulatory B cells (Bregs) are a subset of B cells with immunomodulatory effects. The study of Bregs began with a variety of animal models of immune diseases. Studies in patients with autoimmune diseases have further clarified that Bregs are a group of immune cells that secrete inhibitory cytokines such as interleukin-10. Abnormal functions and numbers of Bregs have been found in a variety of autoimmune diseases. The study of the negative immune regulatory network involving Bregs is expected to provide new therapeutic ideas for diseases such as immune diseases, cancer, infection and inflammation. Starting from the discovery and immune regulation mechanism of Bregs, this paper focuses on its regulatory mechanism and clinical research value in the occurrence and development of autoimmune diseases, tumors, infectious diseases and inflammation.
ObjectiveTo analyze the characteristics and risk factors of lymph node metastasis in thoracic esophageal squamous cell carcinoma (ESCC).MethodsThe clinical data of 407 patients with ESCC who underwent radical resection of esophageal carcinoma from December 2012 to October 2018 in our hospital were retrospectively analyzed. There were 390 males and 17 females with a median age of 63 (38-82) years. Esophageal lesions were found in 26 patients of upper thoracic segment, 190 patients of middle thoracic segment and 191 patients of lower thoracic segment. ResultsAmong the patients, 232 (57.0%) were found to have cervical, thoracic and/or abdominal lymph node metastasis. The lymphatic metastasis rates of cervical, upper, middle, lower mediastinal nodes and abdominal nodes were 0.7%, 8.8%, 21.4%, 16.7% and 37.1%, respectively. The adjacent lymph node metastasis alone occurred in 50.0% patients, and the multistage or skip lymph node metastasis accounted for 29.3% and 20.7%, respectively. Multivariate analysis showed that the length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion were independent risk factors for lymph node metastasis.ConclusionThe rates of lymph node metastasis are similar in the upper, middle and lower thoracic ESCC. The main pattern of lymph node metastasis is the adjacent lymph node metastasis, followed by multistage and skip lymph node metastases. The length of esophageal lesion, T stage, degree of tumor differentiation, vascular cancer embolus and nerve invasion are independent factors for lymph node metastasis. The operation and dissection range should be selected according to the location of tumor and the characteristics of the lesion.
ObjectiveTo analyze the correlation between folate receptor-positive circulating tumor cells (FR+CTC) and the benign or malignant lesions of the lung, and to establish a malignant prediction model for pulmonary neoplasm based on clinical data, imaging and FR+CTC tests.MethodsA retrospective analysis was done on 1 277 patients admitted to the Affiliated Hospital of Qingdao University from September 2018 to December 2019, including 518 males and 759 females, with a median age of 57 (29-85) years. They underwent CTC examination of peripheral blood and had pathological results of pulmonary nodules and lung tumors. The patients were randomly divided into a trial group and a validation group. Univariate and multivariate analyses were performed on the data of the two groups. Then the nomogram prediction model was established and verified internally and externally. Receiver operating characteristic (ROC) curve was used to test the differentiation of the model and calibration curve was used to test the consistency of the model.ResultsTotally 925 patients suffered non-small cell lung cancer and 113 patients had benign diseases in the trial group; 219 patients suffered non-small cell lung cancer and 20 patients had benign diseases in the verification group. The FR+CTC in the peripheral blood of non-small cell lung cancer patients was higher than that found in the lungs of the patients who were in favorite conditions (P<0.001). Multivariate analysis showed that age≥60 years, female, FR+CTC value>8.7 FU/3 mL, positive pleural indenlation sign, nodule diameter, positive burr sign, consolidation/tumor ratio<1 were independent risk factors for benign and malignant lung tumors with a lesion diameter of ≤4 cm. Thereby, the nomogram prediction model was established. The area under the ROC curve (AUC) of the trial group was 0.918, the sensitivity was 86.36%, and the specificity was 83.19%. The AUC value of the verification group was 0.903, the sensitivity of the model was 79.45%, and the specificity was 90.00%, indicating nomogram model discrimination was efficient. The calibration curve also showed that the nomogram model calibration worked well.ConclusionFR+CTC in the peripheral blood of non-small cell lung cancer patients is higher than that found in the lungs of the patients who carry benign pulmonary diseases. The diagnostic model of clinical stage Ⅰ non-small cell lung cancer established in this study owns good accuracy and can provide a basis for clinical diagnosis.