Objective To explore the association between the preoperative systemic immune-inflammation index (SII) and prognosis in non-small cell lung cancer (NSCLC) patients. Methods A comprehensive literature survey was performed on PubMed, Web of Science, EMbase, The Cochrane Library, Wanfang, and CNKI databases to search the related studies from inception to December 2021. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the correlation of the preoperative SII with overall survival (OS), disease-free survival (DFS), and recurrence-free survival (RFS) in NSCLC patients. Results A total of 11 studies involving 9 180 patients were eventually included. The combined analysis showed that high SII levels were significantly associated with worse OS (HR=1.61, 95%CI 1.36-1.90, P<0.001), DFS (HR=1.50, 95%CI 1.34-1.68, P<0.001), and RFS (HR=1.17, 95%CI 1.04-1.33, P<0.001). Subgroup analyses also further verified the above results. Conclusion Preoperative SII is a powerful prognostic biomarker for predicting outcome in patients with operable NSCLC and contribute to prognosis evaluation and treatment strategy formulation. However, more well-designed and prospective studies are warranted to verify our findings.
Non-small cell lung cancer (NSCLC) accounts for more than 80% of lung cancer. Nowadays, gemcitabine and cisplatin in combination have been adopted as the first-line chemotherapy for patients with NSCLC. This study aimed to monitor early response to combined chemotherapy of gemcitabine plus cisplatin in a mouse model of NSCLC by using 18F-fluorodeoxyglucose and 18F-fluorothymidine small animal positron emission tomography (PET). Lewis lung carcinoma-bearing C57BL/6 mice were treated with gemcitabine-cisplatin or saline. Small animal PET with 18F-FDG and 18F-FLT was performed before (baseline) and after treatment (on Day 3), respectively. Imaging results were confirmed by histopathological studies (hematoxylin and eosin staining, Ki67 staining). Compared to the results in the control group, gemcitabine-cisplatin in the treated group significantly inhibited tumor growth (P<0.05). In the treated group, the maximum standardized uptake value (SUVmax) of 18F-FLT decreased significantly from 0.59±0.05 (baseline) to 0.28±0.05 (Day 3) (P<0.05). There was no significant difference between baseline (4.35±0.46) and that on Day 3 (4.02±0.47) on 18F-FDG SUVmax (P>0.05). The proliferation of tumor assessed by Ki67 staining decreased significantly after treatment of one dose of gemicitabine-cisplatin (P<0.05). The staining of HE showed an increase in necrotic and inflam- matory cells after the treatment. This study demonstrated that the uptake of 18F-FLT reduced more rapidly and signi-ficantly than that of 18F-FDG and was less disturbed by the increase of inflammatory cells after chemotherapy.
Objective To investigate the perioperative outcome of robot-assisted pulmonary lobectomy in treating pathological stage Ⅰ non-small cell lung cancer (NSCLC). Methods We retrospectively analyzed the clinical data of 333 consecutive p-T1 NSCLC patients who underwent robotic-assisted pulmonary lobectomy in our hospital between May 2013 and April 2016. There were 231 females (69.4%) and 102 males (30.6%) aged from 20–76 (55.01±10.46) years. Cancer was located in the left upper lobectomy in 37 (11.1%) patients, left lower lobectomy in 71 (21.3%) patients, right upper lobectomy in 105 (31.5%) patients, right middle lobectomy in 32 (9.6%) patients, right lower lobectomy in 88 (26.4%) patients. Adenocarcinoma was confirmed in 330 (99.1%) patients and squamous cell cancer was confirmed in 3 (0.9%) patients. Results Total operative time was 46–300 (91.51±30.80) min. Estimated intraoperative blood loss was 0–100 ml in 319 patients (95.8%), 101–400 ml in 12 patients (3.6%), >400 ml in 2 patients (0.6%). Four patients were converted to thoracotomy, including 2 patients due to pulmonary artery branch bleeding and 2 due to pleural adhesion.No patient died within 30 days after surgery. And no perioperative blood transfusion occurred. Postoperative day 1 drain was 0–960 (231.39±141.87) ml. Chest drain time was 2–12 (3.96±1.52) d.And no patient was discharged with chest tube. Length of hospital stay after surgery was 2–12 (4.96±1.51) d. Persistent air leak was in 12 patients over 7 days. No readmission happened within 30 days. All patients underwent lymph node sampling or dissection with 2–9 (5.69±1.46) groups and 3–21 (9.80±3.43) lymph nodes harvested. Total intraoperative cost was 60 389.66–134 401.65 (93 809.23±13 371.26) yuan. Conclusion Robot-assisted pulmonary lobectomy is safe and effective in treating p-Stage Ⅰ NSCLC, and could be an important supplement to conventional VATS. Regarding to cost, it is relatively more expensive compared with conventional VATS. RATS will be widely used and make a great change in pulmonary surgery with the progressive development of surgical robot.
Objective To study the short-term outcome and safety of radiofrequency ablation (RFA) combined with recombinant human endostatin (endostar) for non-small cell lung cancer (NSCLC) patients. Methods Between December 2013 and December 2014, 80 consecutive patients (50 males, 30 females) with biopsy-proved NSCLC were divided into two groups: a RFA combined treatment group (RFA combined with endostar, 60 patients, 38 males, 22 females, mean age at 67.77±10.43 years) and a RFA alone group (20 patients, 12 males, 8 females, mean age at 67.35±9.82 years). The RFA combined treatment group was divided into three groups according to vascular normalization window of endostar and 20 patients in each group: a combined treatment group 1 (transfusion of endostar after RFA), a combined treatment group 2 (transfusion of endostar for 1 to 3 d before RFA) and a combined treatment group 3 (transfusion of endostar for 4 to 7 d before RFA). The CT scan of the chest was followed up after the treatment, local recurrence and safety was observed. Results There was a statistical difference in local recurrence time among groups (χ2 = 11.05, P = 0.011). The effect of the combined treatment group is better than that of the radiofrequency ablation therapy alone group. And in the recombinant human endostatin of tumor vascular normalization time best combination therapy was observed in the near future effect compared with the radiofrequency ablation therapy alone. In this study common complications were associated with radiofrequency ablation. No recombinant human endostatin related complication was found. There was no satistical difference in safety between the combined treatment group and the radiofrequency ablation therapy group (χ2= 0.889, P > 0.05). Conclusion RFA combined with endostar is safe and effective for non-small cell lung cancer.
The new effective systemic treatment strategy has "created" many long-term stage Ⅳ non-small cell lung cancer (NSCLC) survivors, and surgeons should pay attention to those individual ineffective lesions of long-term survivors. Besides, the new effective systemic treatment strategy may have changed the original concept and population of oligometasis. To intervene the oligo-progression lesions of long-term stage Ⅳ survivors, particularly after effective systemic treatment, at appropriate time with appropriate way might be the main task of surgery in the future.
In recent years, the computer science represented by artificial intelligence and high-throughput sequencing technology represented by omics play a significant role in the medical field. This paper reviews the research progress of the application of artificial intelligence combined with omics data analysis in the diagnosis and treatment of non-small cell lung cancer (NSCLC), aiming to provide ideas for the development of a more effective artificial intelligence algorithm, and improve the diagnosis rate and prognosis of patients with early NSCLC through a non-invasive way.
ObjectiveTo investigate the correlation between spread through air space (STAS) of sub-centimeter non-small cell lung cancer and clinical characteristics and radiological features, constructing a nomogram risk prediction model for STAS to provide a reference for the preoperative planning of sub-centimeter non-small cell lung cancer patients. MethodsThe data of patients with sub-centimeter non-small cell lung cancer who underwent surgical treatment in Nanjing Drum Tower Hospital from January 2022 to October 2023 were retrospectively collected. According to the pathological diagnosis of whether the tumor was accompanied with STAS, they were divided into a STAS positive group and a STAS negative group. The clinical and radiological data of the two groups were collected for univariate logistic regression analysis, and the variables with statistical differences were included in the multivariate analysis. Finally, independent risk factors for STAS were screened out and a nomogram model was constructed. The sensitivity and specificity were calculated based on the Youden index, and area under the curve (AUC), calibration plots and decision curve analysis (DCA) were used to evaluate the performance of the model. ResultsA total of 112 patients were collected, which included 17 patients in the STAS positive group, consisting of 11 males and 6 females, with a mean age of (59.0±10.3) years. The STAS negative group included 95 patients, with 30 males and 65 females, and a mean age of (56.8±10.3) years. Univariate logistic regression analysis showed that male, anti-GAGE7 antibody positive, mean CT value and spiculation were associated with the occurrence of STAS (P＜0.05). Multivariate regression analysis showed that associations between STAS and male (OR=5.974, 95%CI 1.495 to 23.872), anti-GAGE7 antibody positive (OR=11.760, 95%CI 1.619 to 85.408) and mean CT value (OR=1.008, 95%CI 1.004 to 1.013) were still significant (P＜0.05), while the association between STAS and spiculation was not significant anymore (P=0.438). Based on the above three independent predictors, a nomogram model of STAS in sub-centimeter non-small cell lung cancer was constructed. The AUC value of the model was 0.890, the sensitivity was 76.5%, and the specificity was 91.6%. The calibration curve was well fitted, suggesting that the model had a good prediction efficiency for STAS. The DCA plot showed that the model had a good clinically utility. ConclusionMale, anti-GAGE7 antibody positive and mean CT value are independent predictors of STAS positivity of sub-centimeter non-small cell lung cancer, and the nomogram model established in this study has a good predictive value and provides reference for preoperative planning of patients.
Lung cancer is one of the most common malignant tumors in the world, and also one of the most common malignant tumors with the highest incidence, highest mortality, the fastest growth rate and the worst prognosis. Therefore, a deeper understanding of the disease is urgently needed in order to establish new diagnostic and therapeutic approaches. Exosomes, a kind of extracellular vesicles secreted by cells, can deliver various bioactive molecules, such as proteins, mRNA, mircoRNA, lipids, etc, and their potential value in the diagnosis, treatment and prognosis of lung cancer has been supported by a large number of literatures. In this review, we reviewed the role of exosomes in the of development, early diagnosis, treatment and prognosis of non-small cell lung cancer.
ObjectiveTo analyze risk factors for chronic cough after minimally invasive resection of non-small cell lung cancer (NSCLC) and explore the possible prevention measures.MethodsA total of 128 NSCLC patients who received minimally invasive resection in 2018 in our hospital were enrolled, including 63 males and 65 females with an average age of 60.82±9.89 years. The patients were allocated into two groups: a robot-assisted thoracic surgery (RATS) group (56 patients) and a video-assisted thoracic surgery (VATS) group (72 patients). Chronic cough was assessed by visual analogue scale (VAS), meanwhile, other perioperative indicators were compared between the two groups. Univariate and multivariate logistic regression analyses were performed to identify risk factors for postoperative chronic cough and explore the prevention strategies.ResultsOverall, 61 (47.7%) patients were diagnosed with chronic cough after surgery, including 25 (44.6%) patients in the RATS group and 36 (50.0%) patients in the VATS group, and the difference was not statistically significant (P>0.05). Compared with the VATS group, the RATS group got shorter endotracheal intubation time (P=0.009) and less blood loss (P<0.001). The univariate analysis showed that age (P=0.014), range of surgery (P=0.021), number of dissected lymph nodes (P=0.015), preoperative cough (P=0.006), endotracheal intubation time (P=0.004) were the influencing factors for postoperative chronic cough. The multivariate analysis showed that age <57 years (OR=3.006, 95%CI 1.294-6.986, P=0.011), preoperative cough (OR=3.944, 95%CI 4.548-10.048, P=0.004), endotracheal intubation time ≥172 min (OR=2.316, 95%CI 1.027-5.219, P=0.043), lobectomy (OR=2.651, 95%CI 1.052-6.681, P=0.039) were the independent risk factors for chronic cough.ConclusionThere is no statistical difference in postoperative chronic cough between the RATS and VATS groups. The RATS group gets less blood loss and shorter endotracheal intubation time. Patients with younger age (<57 years), preoperative cough, lobectomy, and longer duration of endotracheal intubation (≥172 min) are more likely to have chronic cough after surgery.
Lung cancer is one of the leading causes of cancer deaths worldwide. Many options including surgery, radiotherapy, chemotherapy, targeted therapy and immunotherapy have been applied in the treatment for lung cancer patients. However, how to develop individualized treatment plans for patients and accurately determine the prognosis of patients is still a very difficult clinical problem. In recent years, radiomics, as an emerging method for medical image analysis, has gradually received the attention from researchers. It is based on the assumption that medical images contain a vast amount of biological information about patients that is difficult to identify with naked eyes but can be accessed by computer. One of the most common uses of radiomics is the diagnosis and treatment of non-small cell lung cancer (NSCLC). In this review, we reviewed the current researches on chest CT-based radiomics in the diagnosis and treatment of NSCLC and provided a brief summary of the current state of research in this field, covering various aspects of qualitative diagnosis, efficacy prediction, and prognostic analysis of lung cancer. We also briefly described the main current technical limitations of this technology with the aim of gaining a broader understanding of its potential role in the diagnosis and treatment of NSCLC and advancing its development as a tool for individualized management of NSCLC patients.