Objective To investigate the predictive factors for postoperative gastrointestinal function in patients undergoing laparoscopic radical rectectomy(LRR),and thereby construct a predictive model.Methods A total of 155 patients who underwent LRR at our hospital from February 2021 to April 2024 were selected for this study.Based on the postoperative intake-nausea-vomiting-examination-duration of symptoms(I-FEED)scoring system,patients were divided into postoperative gastrointestinal dysfunction(POGD)and non-POGD groups.Clinical data of the selected patients were collected,and Logistic regression analysis was used to identify factors influencing the occurrence of POGD in LRR patients.A predictive model for POGD was constructed,and its predictive performance was evaluated using the receiver operating characteristic(ROC)curve.The calibration ability of the model was assessed using the H-L test.Results Of the 155 LRR patients,2 were excluded due to intraoperative conversion to open surgery and 1 due to insufficient data,resulting in a total of 152 patients included in the analysis.The incidence of POGD in these 152 patients was 33.55％(51/152).Logistic regression analysis identified age(OR=2.687,95％CI=1.422-5.078,P=0.003),smoking history(OR=2.564,95％CI=1.395-4.713,P=0.004),preoperative albumin(Alb)level(OR=0.851,95％CI=0.781-0.927,P＜0.001),dexmedetomidine combined with general anesthesia(OR=0.382,95％CI=0.214-0.682,P=0.001),the location of the abdominal auxiliary incision(OR=2.992,95％CI=1.278-7.006,P=0.007)and ligation location of inferior mesenteric artery(OR=3.784,95％CI=1.624-8.815,P=0.001)as influencing factors for POGD in LRR patients.The ROC curve showed that the predictive model constructed using these factors had an area under the curve(AUC)of 0.905,indicating good predictive performance.The H-L goodness-of-fit test showed no significant difference between the predicted and observed values(P＞0.05),indicating good calibration ability.Conclusion Age,smoking history,preoperative Alb level,dexmedetomidine combined with general anesthesia,the location of the abdominal auxiliary incision and ligation location of inferior mesenteric artery are influencing factors for POGD in LRR patients.The predictive model constructed based on these factors has good predictive value and calibration ability,providing a basis for targeted prevention and treatment to reduce the risk of POGD.

Objective:This study aims to further enhance the quality of training for large-scale scientific instruments in higher education institutions and promote the long-term high-quality development of equipment platforms.Methods:We deeply analyzed the existing problems in the training of large-scale scientific instruments in higher education institutions, and combined the training goal of ″five understandings and five abilities″ for compound talents.Results:The training methods, processes, long-term quality guarantee measures and post-training assessment were refined. A ″four-dimensional integration″ closed-loop training system for large-scale scientific instruments in higher education institutions was constructed and formed.Conclusions:The implementation of the " four-dimensional integration" training system has showed a positive role in scientific research, talent cultivation, efficient utilization of equipment and facilities, and the long-term high-quality development of platforms in universities, providing references and inspiration for the implementation of large-scale instrument training for other university laboratories.

Objective:To analyze risk factors for immune checkpoint inhibitor-related pneumonitis (CIP) in non-small cell lung cancer (NSCLC) patients based on clinical and radiological characteristics, and to develop and validate a nomogram model for predicting the risk of CIP.Methods:A retrospective case-controlled study was conducted. The clinical data of 159 patients diagnosed with NSCLC in Shanxi Province Cancer Hospital between January 2020 and December 2023 who received immune checkpoint inhibitor (ICI) therapy were retrospectively analyzed. Based on the development of CIP after immunotherapy, the patients were divided into the CIP group (30 cases) and the control group (129 cases). The clinical data of NSCLC patients, hematological indicators and the data of imaging characteristics before their first ICI treatment were collected. Quantitative assessments were performed on pretreatment chest CT images, including lung total tumor volume, number of involved lung segments, and pulmonary infection index. Logistic regression analysis was used to screen out the factors influencing the development of CIP. R 4.3.0 statistical software was used to construct a nomogram model for predicting CIP based on the statistically significant risk factors identified in the multivariate logistic regression analysis. The predictive performance of the model was evaluated by using receiver operating characteristic (ROC) curves and the area under the curve (AUC). Calibration curves and decision curve analysis (DCA) were employed to assess the model's consistency and clinical benefit.Results:There were statistically significant differences in the proportions of patients with a history of chest radiotherapy and those receiving different immunotherapy regimens between the control group and the CIP group (both P < 0.001). The difference in the lactate dehydrogenase (LDH) [ M ( IQR)] between the both groups was statistically significant [211.00 U/L (57.00 U/L) vs. 276.00 U/L (136.00 U/L), Z = -3.41, P < 0.001]; additionally, the difference in lung status score between the 2 groups was statistically significant ( P < 0.001). Multivariate logistic regression analysis revealed that a history of chest radiotherapy (with vs. without: OR = 4.200, 95% CI: 1.466-12.036), the combination of immunotherapy (monotherapy vs. the combined therapy: OR = 0.106, 95% CI: 0.022-0.509), LDH ≥ 255.5 U/L (< 255.5 U/L vs. ≥ 255.5 U/L: OR = 0.988, 95% CI: 0.981-0.995), and severe lung status score(mild vs. moderate vs. severe: OR = 0.187, 95% CI: 0.059-0.593) were independent risk factors for CIP development in NSCLC patients after immunotherapy (all P < 0.05). A nomogram model for predicting CIP occurrence was constructed based on chest radiotherapy history, immunotherapy regimen, LDH, and lung status score. ROC curve analysis showed the AUC was 0.878 (95% CI: 0.813-0.942). The calibration curve demonstrated the good consistency between the predicted risk probability of CIP and the observed outcomes; DCA indicated that the model had favorable clinical benefits. Conclusions:The constructed nomogram prediction model shows a good predictive performance.

Objective To investigate the predictive factors for postoperative gastrointestinal function in patients undergoing laparoscopic radical rectectomy(LRR),and thereby construct a predictive model.Methods A total of 155 patients who underwent LRR at our hospital from February 2021 to April 2024 were selected for this study.Based on the postoperative intake-nausea-vomiting-examination-duration of symptoms(I-FEED)scoring system,patients were divided into postoperative gastrointestinal dysfunction(POGD)and non-POGD groups.Clinical data of the selected patients were collected,and Logistic regression analysis was used to identify factors influencing the occurrence of POGD in LRR patients.A predictive model for POGD was constructed,and its predictive performance was evaluated using the receiver operating characteristic(ROC)curve.The calibration ability of the model was assessed using the H-L test.Results Of the 155 LRR patients,2 were excluded due to intraoperative conversion to open surgery and 1 due to insufficient data,resulting in a total of 152 patients included in the analysis.The incidence of POGD in these 152 patients was 33.55％(51/152).Logistic regression analysis identified age(OR=2.687,95％CI=1.422-5.078,P=0.003),smoking history(OR=2.564,95％CI=1.395-4.713,P=0.004),preoperative albumin(Alb)level(OR=0.851,95％CI=0.781-0.927,P＜0.001),dexmedetomidine combined with general anesthesia(OR=0.382,95％CI=0.214-0.682,P=0.001),the location of the abdominal auxiliary incision(OR=2.992,95％CI=1.278-7.006,P=0.007)and ligation location of inferior mesenteric artery(OR=3.784,95％CI=1.624-8.815,P=0.001)as influencing factors for POGD in LRR patients.The ROC curve showed that the predictive model constructed using these factors had an area under the curve(AUC)of 0.905,indicating good predictive performance.The H-L goodness-of-fit test showed no significant difference between the predicted and observed values(P＞0.05),indicating good calibration ability.Conclusion Age,smoking history,preoperative Alb level,dexmedetomidine combined with general anesthesia,the location of the abdominal auxiliary incision and ligation location of inferior mesenteric artery are influencing factors for POGD in LRR patients.The predictive model constructed based on these factors has good predictive value and calibration ability,providing a basis for targeted prevention and treatment to reduce the risk of POGD.

Objective:This study aims to further enhance the quality of training for large-scale scientific instruments in higher education institutions and promote the long-term high-quality development of equipment platforms.Methods:We deeply analyzed the existing problems in the training of large-scale scientific instruments in higher education institutions, and combined the training goal of ″five understandings and five abilities″ for compound talents.Results:The training methods, processes, long-term quality guarantee measures and post-training assessment were refined. A ″four-dimensional integration″ closed-loop training system for large-scale scientific instruments in higher education institutions was constructed and formed.Conclusions:The implementation of the " four-dimensional integration" training system has showed a positive role in scientific research, talent cultivation, efficient utilization of equipment and facilities, and the long-term high-quality development of platforms in universities, providing references and inspiration for the implementation of large-scale instrument training for other university laboratories.

Objective:To analyze risk factors for immune checkpoint inhibitor-related pneumonitis (CIP) in non-small cell lung cancer (NSCLC) patients based on clinical and radiological characteristics, and to develop and validate a nomogram model for predicting the risk of CIP.Methods:A retrospective case-controlled study was conducted. The clinical data of 159 patients diagnosed with NSCLC in Shanxi Province Cancer Hospital between January 2020 and December 2023 who received immune checkpoint inhibitor (ICI) therapy were retrospectively analyzed. Based on the development of CIP after immunotherapy, the patients were divided into the CIP group (30 cases) and the control group (129 cases). The clinical data of NSCLC patients, hematological indicators and the data of imaging characteristics before their first ICI treatment were collected. Quantitative assessments were performed on pretreatment chest CT images, including lung total tumor volume, number of involved lung segments, and pulmonary infection index. Logistic regression analysis was used to screen out the factors influencing the development of CIP. R 4.3.0 statistical software was used to construct a nomogram model for predicting CIP based on the statistically significant risk factors identified in the multivariate logistic regression analysis. The predictive performance of the model was evaluated by using receiver operating characteristic (ROC) curves and the area under the curve (AUC). Calibration curves and decision curve analysis (DCA) were employed to assess the model's consistency and clinical benefit.Results:There were statistically significant differences in the proportions of patients with a history of chest radiotherapy and those receiving different immunotherapy regimens between the control group and the CIP group (both P < 0.001). The difference in the lactate dehydrogenase (LDH) [ M ( IQR)] between the both groups was statistically significant [211.00 U/L (57.00 U/L) vs. 276.00 U/L (136.00 U/L), Z = -3.41, P < 0.001]; additionally, the difference in lung status score between the 2 groups was statistically significant ( P < 0.001). Multivariate logistic regression analysis revealed that a history of chest radiotherapy (with vs. without: OR = 4.200, 95% CI: 1.466-12.036), the combination of immunotherapy (monotherapy vs. the combined therapy: OR = 0.106, 95% CI: 0.022-0.509), LDH ≥ 255.5 U/L (< 255.5 U/L vs. ≥ 255.5 U/L: OR = 0.988, 95% CI: 0.981-0.995), and severe lung status score(mild vs. moderate vs. severe: OR = 0.187, 95% CI: 0.059-0.593) were independent risk factors for CIP development in NSCLC patients after immunotherapy (all P < 0.05). A nomogram model for predicting CIP occurrence was constructed based on chest radiotherapy history, immunotherapy regimen, LDH, and lung status score. ROC curve analysis showed the AUC was 0.878 (95% CI: 0.813-0.942). The calibration curve demonstrated the good consistency between the predicted risk probability of CIP and the observed outcomes; DCA indicated that the model had favorable clinical benefits. Conclusions:The constructed nomogram prediction model shows a good predictive performance.

With the improved understanding of driver mutations in non-small cell lung cancer (NSCLC), expanding the targeted therapeutic options improved the survival and safety. However, responses to these agents are commonly temporary and incomplete. Moreover, even patients with the same oncogenic driver gene can respond diversely to the same agent. Furthermore, the therapeutic role of immune-checkpoint inhibitors (ICIs) in oncogene-driven NSCLC remains unclear. Therefore, this review aimed to classify the management of NSCLC with driver mutations based on the gene subtype, concomitant mutation, and dynamic alternation. Then, we provide an overview of the resistant mechanism of target therapy occurring in targeted alternations ("target-dependent resistance") and in the parallel and downstream pathways ("target-independent resistance"). Thirdly, we discuss the effectiveness of ICIs for NSCLC with driver mutations and the combined therapeutic approaches that might reverse the immunosuppressive tumor immune microenvironment. Finally, we listed the emerging treatment strategies for the new oncogenic alternations, and proposed the perspective of NSCLC with driver mutations. This review will guide clinicians to design tailored treatments for NSCLC with driver mutations.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation ; Tumor Microenvironment/genetics*

BACKGROUND: Malignant pleural mesothelioma (MPM) is a highly aggressive disease arising from pleural mesothelial cells. Advanced pleural mesothelioma has a poor prognosis, with a median survival of no more than 15 months. First line standard chemotherapy regimen recommended is Pemetrexed based chemotherapy regimen, with or without bevacizumab. There is no consensus on whether patients who have received first-line standard chemotherapy can benefit from pemetrexed maintenance chemotherapy. The study aimed to investigate the efficacy and safety of pemetrexed maintenance therapy (PMT) after treatment with a pemetrexed and platinum regimen for patients with MPM. METHODS: A total of 40 MPM patients were collected from Cancer Hospital Chinese Academy of Medical Sciences from January 2013 to January 2018, eligible patients were unresectable MPM, without disease progression following 4 to 6 cycles of pemetrexed and platinum, including pemetrexed maintenance therapy group (22 cases) and observation group (18 cases). The last follow-up was conducted in January 2020. The primary endpoint were progression free survival (PFS), and the secondary end points were overall survival (OS), the efficacy, adverse reactions of PMT. RESULTS: The median PFS in the PMT arm was longer than that in the observation arm (8.5 mon vs 3 mon, P=0.008), but there was no significant difference in median OS (26.4 mon vs 15.7 mon, P=0.177). Objective response rate (ORR) of two group were 22.7% and 0%, respectively. The grade 3-4 toxicity in PMT group included grade 4 neutropenia in 1 patient (4.5%), grade 3 neutropenia in 1 patient (4.5%), grade 4 anemia in 1 patient (4.5%) and grade 3 nausea and anorexia in 1 patient (4.5%). CONCLUSIONS Pemetrexed maintenance therapy following initial pemetrexed and platinum chemotherapy improve PFS in patients with MPM, and is well tolerated.
Antineoplastic Combined Chemotherapy Protocols/adverse effects* ; Cisplatin/therapeutic use* ; Humans ; Lung Neoplasms/drug therapy* ; Mesothelioma/drug therapy* ; Mesothelioma, Malignant ; Neutropenia ; Pemetrexed/therapeutic use* ; Platinum/therapeutic use* ; Pleural Neoplasms/drug therapy*

Non-small cell lung cancer (NSCLC) is the most common pathological type of lung cancer. The systemic antitumor therapy of advanced NSCLC has undergone renovations of chemotherapy, targeted therapy and immunotherapy, which results in greatly improved survival for patients with advanced NSCLC. Immune checkpoint inhibitors (ICIs), especially targeting programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1), has changed the treatment paradigm of NSCLC. ICIs have become the standard treatment for advanced NSCLC without epidermal growth factor receptor(EGFR) mutation or anaplastic lymphomakinase(ALK) translocation in the first- or second-line setting, and for locally advanced NSCLC following concurrent radiotherapy and chemotherapy. ICIs are also promising in adjuvant/neoadjuvant therapy. More and more ICIs have been approved domestically for the treatment of NSCLC. Led by the NSCLC expert committee of Chinese Society of Clinical Oncology (CSCO), this consensus was developed and updated based on thoroughly reviewing domestic and foreign literatures, clinical trial data, systematic reviews, experts' discussion and the consensus(2019 version). This consensus will aid domestic clinicians in the treatment of NSCLC with ICIs.
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To compare changes in platelet related parameters in obese patients before and after sleeve gastrectomy (SG), we retrospectively analyzed the clinical data of 31 obese patients who underwent SG in Peking Union Medical College Hospital from December 2012 to September 2020. Results showed that compared with those before surgery, platelet count (PLT) decreased significantly at 2-12 weeks of follow-up ( P=0.009), while platelet distribution width (PDW), mean platelet volume (MPV), and large platelet ratio (P-LCR) increased significantly at the same periods of follow-up after operation ( P<0.001). However, the levels of PDW, MPV, and P-LCR began to decrease at 16-55 weeks when compared with those at 2-12 weeks of follow-up ( P<0.01). PLT was positively correlated with white blood cells and neutrophils at 2-12 weeks of follow-up and positively correlated with high sensitivity C-reactive protein at 16-55 weeks of follow-up after operation ( P<0.05).