ObjectiveTo observe the expressions of miR-143-3p in gastric cancer cells and gastric carcinoma tissues with its clinical significance, and to analyze the target genes with enriched pathway by using bioinformatics methods.MethodsThe expressions of miR-143-3p in different differentiation gastric cancer cells and normal gastric mucosa cell line, and the expressions in gastric cancer tissues and adjacent tissues were detected by real-time fluorescent quantitative PCR. In addition, OncomiR and YM500 databases were used to analyze the expression of miR-143-3p in gastric cancer tissues compared with adjacent tissues. Furthermore, the targets of miR-143-3p were predicted by using the software of miRecords website database, and at least three software-supported target genes were chosen to analyze the enriched the signal pathways in which the target gene was involved with DAVID 6.7 software.ResultsThe expressions of miR-143-3p in the different differentiation degree of gastric cancer cells compared with normal gastric mucosa cell line were downregulated (P<0.001), and the expression of miR-143-3p in gastric cancer tissues compared with adjacent tissues was also downregulated (downregulated in 36 cases, upregulated in 18 cases, and no alteration in 4 cases). The expression of miR-143-3p in gastric cancer tissues was associated with lymph node metastasis and invasion depth (P<0.05). Bioinformatics analysis results showed that the target genes of miR-143-3p were enriched in 38 signaling pathways associated with cancer.ConclusionMiR-143-3p is a down-regulated molecular marker in gastric cancer and a potentially clinically related tumor suppressor gene, which may be involved in the cancerous phenotype in carcinogenesis and development of gastric cancer.
ObjectiveTo evaluate the efficacy and safety of programmed cell death receptor 1 (PD-1) inhibitor combined with chemotherapy in the preoperative neoadjuvant treatment of stage Ⅲ non-small cell lung cancer (NSCLC).MethodsThe clinical data of 68 patients with stage Ⅲ NSCLC who underwent preoperative neoadjuvant treatment in our hospital from June 2019 to October 2020 were analyzed and divided into two groups according to a random number table. There were 34 patients in the control group including 19 males and 15 females with an average age of 59.41±4.77 years. In the observation group, there were 34 patients including 21 males and 13 females with an average age of 61.15±6.24 years. The patients in the control group were treated with albumin-bound paclitaxel and cisplatin for injection, and the patients in the observation group were treated with carrelizumab on the basis of the control group, and both groups received 2 cycles of preoperative neoadjuvant therapy. We compared the clinical efficacy of imaging, T lymphocyte subsets, drug side effects, surgical resection rate, major pathological remission (MPR), complete pathological remission (pCR) and postoperative complications of the two groups of patients, and analyzed the influencing factors for MPR.ResultsThe objective response rate (ORR) of imaging in the observation group (70.6%) was higher than that in the control group (38.2%, P<0.05). The positive rate of CD3+ cells, the positive rate of CD4+ cells, the positive rate of CD8+ cells and the ratio of CD4+/CD8+ cells in the observation group after treatment were higher than those in the control group (P<0.05). The drug toxicity of the observation group was higher than that of the control group in the reactive cutaneouscapillary endothelial proliferation (RCCEP)/rash, abnormal thyroid function, and abnormal myocardial enzymes (P<0.05). The MPR (66.7%) and pCR (51.9%) of the surgical observation group were higher than those of the surgical control group (MPR: 19.2%, pCR: 7.7%, P<0.05). There was no statistical difference in surgical resection rate and postoperative complications between the two groups (P>0.05). Univariate analysis showed that ECOG score, pathological type, neoadjuvant treatment plan and surgical resection were related to MPR (P<0.05). The results of binary logistic regression analysis showed that Eastern Cooperative Oncology Group (ECOG) score and neoadjuvant treatment plan were independent risk factors for MPR (P<0.05).ConclusionThe clinical efficacy of PD-1 inhibitor combined with chemotherapy in the preoperative neoadjuvant treatment of stage Ⅲ NSCLC patients is definite, and it can significantly improve the patients' MPR, pCR and cellular immune function, but the side effects caused by immunotherapy drugs need to be concerned.
ObjectiveTo explore the risk factors of postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. MethodsA retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. ResultsA total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=1.329, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion: FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.