ObjectiveTo explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the 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=3.776, 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.
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.
As a core biomarker of non-invasive liquid biopsy, circulating tumor DNA (ctDNA) provides a breakthrough approach for minimal residual disease (MRD) monitoring in esophageal cancer. Esophageal cancer is clinically characterized by strong invasiveness, high postoperative recurrence rate, and poor prognosis. Traditional imaging and histopathological examinations are difficult to meet the clinical demand for accurate MRD identification due to limitations such as insufficient sensitivity and high invasiveness. This paper systematically reviews the biological basis and technical advances of ctDNA detection, focusing on the advantages and clinical application scenarios of core technologies including digital polymerase chain reaction, next-generation sequencing, and methylation detection. It further analyzes the core clinical value of ctDNA in esophageal cancer MRD monitoring, covering key directions such as early recurrence warning, dynamic evaluation of treatment efficacy, and optimization of individualized treatment strategies. Meanwhile, the main challenges currently faced, including insufficient technical standardization, interference from tumor heterogeneity, and lag in clinical translation, are discussed, and future development trends such as multi-omics integration and artificial intelligence-assisted diagnosis are prospected. This review aims to provide an academic reference for the precise clinical management of esophageal cancer MRD, promote the standardized application and translation of ctDNA technology in clinical practice of cardiothoracic surgery, and ultimately improve the survival prognosis of patients.