Objective To investigate the tumor suppressor genes of phlegm DNA in smokers, and analyze the correlation between methylation level of tumor suppressor gene promoter and chronic mucus hypersecretion (CMH). Methods The study recruited the patients who were admitted in the respiratory department during 2013-2016 in this hospital, including 700 cases of urban smokers and 380 cases of rural smokers. Eleven genes commonly silenced by promoter methylation in lung cancer and associated with cancer risk were selected. Methylation specific PCR (MSP) was used in the sputum sample of 700 individuals in the urban smokers cohort. Replication was performed in 380 individuals from the rural smokers cohort. Results CMH was significantly associated with an overall increased number of methylated genes, with SULF2 methylation demonstrating the most consistent association. The association between SULF2 methylation and CMH was significantly increased in males but not in females both in the urban and rural groups (OR=2.73, 95%CI 1.53-4.93, P=0.001; OR=2.96, 95%CI 1.47-5.94, P=0.002, respectively). Furthermore, the association between methylation and CMH was more obvious among 139 male former smokers with persistent CMH compared with current smokers (SULF2, OR=3.64, 95%CI 1.57-8.35, P=0.002). Conclusion These findings demonstrate that especially male former smokers with persistent CMH have markedly increased promoter methylation of lung cancer risk genes and potentially could be at increased risk for lung cancer.
Lung cancers are highly heterogeneous and resistant to available therapeutic agents, with a five-year survival rate of less than 15%. Despite significant advances in our knowledge of the genetic alterations and aberrations in lung cancer, it has been difficult to determine the basis of lung cancer's heterogeneity and drug resistance. Cancer stem cell model has attracted a significant amount of attention in recent years as a viable explanation for the heterogeneity, drug resistance, dormancy, recurrence and metastasis of various tumors. At the same time, cancer stem cells have been relatively less characterized in lung cancers. This review summarizes the current understanding of lung cancer stem cells, including their molecular features and signaling pathways that drive their stemness. This review also discusses the prognosis of lung cancer and its relationship with lung cancer stem cell, in an effort to eradicate these cells to combat lung cancer.
Lung cancer ranks among the most prevalent and lethal malignancies globally. Its prognostic outcomes are not only contingent upon tumor characteristics and therapeutic interventions but also intricately linked to the nutritional and immune profiles of patients. This article conducts a thorough review of both domestic and international research, providing a comprehensive synthesis of the prognostic value of widely investigated nutritional and immune indicators in the context of lung cancer. The primary objective is to identify optimal prognostic markers in clinical practice, offering guidance for precise post-treatment assessment and early intervention for lung cancer patients.
Central lung cancer is a common disease in clinic which usually occurs above the segmental bronchus. It is commonly accompanied by bronchial stenosis or obstruction, which can easily lead to atelectasis. Accurately distinguishing lung cancer from atelectasis is important for tumor staging, delineating the radiotherapy target area, and evaluating treatment efficacy. This article reviews domestic and foreign literatures on how to define the boundary between central lung cancer and atelectasis based on multimodal images, aiming to summarize the experiences and propose the prospects.
ObjectiveTo systematically evaluate the effectiveness and safety of single-incision video-assisted thoracic surgery (VATS) versus conventional multiple ports VATS for lung cancer. MethodsWe searched databases including PubMed, The Cochrane Library (Issue 3, 2016), EMbase, CBM, CNKI and WanFang Data from inception to April 2016, to collect randomized controlled trials (RCTs) and cohort studies comparing single-incision VATS and conventional multiple ports VATS for lung cancer. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, RevMan 5.3 software was used for meta-analysis. ResultsA total of 9 cohort studies involving 1 318 patients were finally included. The results of meta-analysis showed that: compared with the conventional multiple ports VATS group, the single-incision VATS group had shorter chest drainage time (MD=-0.70, 95%CI -1.38 to -0.02, P=0.04), shorter hospital stay (MD=-0.52, 95%CI -0.91 to -0.14, P=0.007), less amount of intraoperative bleeding (MD=-18.49, 95%CI -33.61 to -3.37, P=0.02), lower VAS score at 1 and 3 days after surgery (MD=-0.32, 95%CI -0.51 to -0.14, P=0.000 7; MD=-0.48, 95%CI -0.58 to -0.38, P < 0.000 01). Meanwhile, there were no statistical differences between both groups in operation time (MD=-3.40, 95%CI -13.65 to 6.85, P=0.52), the postoperative complications (OR=0.91, 95%CI 0.65 to 1.27, P=0.56), the number of lymph node dissection (MD=-0.79, 95%CI -2.35 to 0.77, P=0.32), the total cost (MD=0.47, 95%CI -0.39 to 1.32, P=0.28), the intraoperative conversion rate (OR=0.92, 95%CI 0.44 to 1.93, P=0.82) and VAS score at 7 days after surgery (MD=-1.18, 95%CI -2.42 to 0.07, P=0.06). ConclusionCurrent evidence shows, single-incision VATS is superior in the surgical trauma to conventional multiple ports VATS in the treatment of lung cancer, However, due to the limited quality and quantity of included studies, more large-scale, high-quality studies are needed to verify the above conclusion.
Abstract: Objective To summarize the method and effective result of thoracoscopic intrapleural perfusion hyperthermochemotherapy(TIPHC) for treating malignant pleural effusion caused by lung cancer. Methods Fiftyeight patients with malignant pleural effusion caused by lung cancer were randomly divided into therapeutic group(30 cases) and control group(28 cases) between February 1999 and March 2005. Pleural biopsy and TIPHC under general ansthesia with unilateral ventilation were performed in the therapeutic group, and intrapleural injection of cisplatin was administered in control group after drainage of pleural effusion. The effect on malignant pleural effusion， the change for the concentration of carcinoembryonic antigen(CEA)， cytokeratin-19 fragments (CYFRA21-1)， neuronspecific enolase (NSE) and the side effect were compared before and after the treatment. Results The therapeutic group achieved total response rate of 100.0%, but only 53.6% in control group, with significant difference(χ 2=3.863, Plt;0.05). Furthermore, the concentration of CEA， CYFRA21-1， NSE in therapeutic group dramatically descended than control group(t=2.562,Plt;0.05). But there was no significant difference in side effect (Pgt;0.05). The pathological diagnosis of all the patients were determined in the therapeutic group. Conclusion TIPHC has the advantage of both diagnosis and treatment of malignant pleural effusions. It is safe and effective, and also able to determine the diagnosis. Furthermore, it offers the superiority of small wound， best visualization and convenient pleural biopsy.
Objective To explore a novel method for early lung cancer screening based on exhaled breath analysis. MethodsThis study enrolled patients with suspected pulmonary malignancies and healthy individuals undergoing physical examinations at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Qingchun and Qiantang campuses) from September 2023 to June 2024. Enrolled subjects were categorized into a lung cancer group, a benign nodule/tumor group, and a healthy control group. Exhaled breath samples were collected using a sensor array constructed from multiple graphene composite materials to capture breath fingerprints. Based on the collected data, screening and diagnostic models for lung cancer were developed and their performance was evaluated. ResultsA total of 4 580 subjects were included. Among them, 3 195 were pathologically diagnosed with pulmonary malignancies, including 1 394 males and 1 801 females with a mean age of (58.93±12.37) years, 599 were diagnosed with benign nodules/tumors including 339 males and 260 females with a mean age of (57.10±11.06) years, and 786 were healthy controls with no pulmonary nodules detected on chest CT including 420 males and 366 females with a mean age of (29.75±9.32) years. The screening model for high-risk populations (distinguishing patients with lung cancer/high-risk pulmonary nodules from healthy individuals) demonstrated excellent performance, with an area under the receiver operating characteristic curve (AUC) of 0.926. At the optimal Youden’s index (cutoff threshold of 63.5%), the external test set achieved a specificity of 85.2%, a sensitivity of 88.4%, and an accuracy of 86.8%. The diagnostic model (distinguishing patients with lung cancer/premalignant lesions from those with benign pulmonary nodules/healthy individuals) achieved an AUC of 0.818. At its optimal Youden’s index (cutoff threshold of 47.0%), the external test set showed a specificity of 71.7%, a sensitivity of 77.3%, and an accuracy of 74.5%. ConclusionThe non-invasive breath analysis platform based on a sensor array, developed in this study, can achieve rapid and relatively accurate lung cancer screening by analyzing breath fingerprints. This confirms the feasibility of this technology for early lung cancer screening and holds promise for facilitating the early detection and intervention of lung cancer.
Lung cancer is a malignant tumor with the highest incidence and mortality in China. Early diagnosis and early treatment is the key to improve the survival and prognosis of patients with lung cancer. In recent years, many studies have focused on biomarkers of lung cancer. Emerging biomarkers tests have shown some potential in lung cancer screening. Combining biomarkers, imaging omics and artificial intelligence to establish a comprehensive model for lung cancer screening and prediction may be the development direction for improving lung cancer screening in the future. This paper summarizes the application of biomarkers in lung cancer screening, introduces the emerging biomarkers and new technologies, and discusses the application prospects of biomarkers in lung cancer screening, in order to providea theoretical basis for improving screening, early diagnosis and early treatment of lung cancer.
Abstract： Objective To introduce the new procedure of endobronchial ultrasoundguided transbronchial needle aspiration (EBUSTBNA) for staging lung cancer and diagnosing thoracic diseases, in order to determine its value in the evaluation of thoracic diseases. Methods We retrospectively reviewed the data of all patients examined with EBUSTBNA our institution between September 2009 and May 2010. Among the patients, there were 75 males and 31 females with an average age of 62.3 years old. Based on their primary indication, we divided all the 106 patients into three categories. (1) There were 76 patients with known or bly suspected lung cancer. Enlarged mediastinal lymph nodes on radiographic examination of the chest (≥1.0 cm) were detected in all the patients. (2) There were 22 patients with enlarged mediastinal lymph nodes or mediastinal masses of unknown origin. (3) There were 8 patients with pulmonary mass located close to the central airways. Results (1) 76 patients underwent EBUSTBNA for known or bly suspected lung cancer. Among them, 58 patients were confirmed to have mediastinal lymph nodes metastasis on EBUSTBNA. Sixteen in the 18 patients with negative EBUSTBNA underwent thoracoscopy or thoracotomy for pulmonary resection and mediastinal lymph node dissection. Postoperative pathology confirmed that 12 patients did not have metastatic nodes, 2 patients had metastatic nodes and 2 other patients had benign lesions within the lung. The diagnostic sensitivity, specificity and accuracy of EBUSTBNA for the mediastinal staging of lung cancer were 96.66%(58/60), 100.00%(12/12) and 97.22%(70/72), respectively. (2) 22 patients underwent EBUSTBNA for the evaluation of mediastinal adenopathy or mass in the absence of any identifiable pulmonary lesion. Among them, 7 had malignancy, 13 had benign diseases on EBUSTBNA and the sensitivity of EBUSTBNA in distinguishing malignant mediastinal diseases was 87.50% (7/8). (3) 8 patients with pulmonary mass located close to the central airways were accessed by EBUSTBNA. Definite diagnosis was achieved in 7 patients, and lung cancer was detected in 6 patients. The sensitivity and the diagnostic accuracy of EBUSTBNA for the diagnosis of unknown pulmonary mass was 85.71%(6/7) and 87.50%(7/8), respectively. All the procedures were uneventful, and there were no complications. Conclusion EBUSTBNA is a highly effective and safe procedure. We believe that EBUSTBNA should be used routinely in the diagnosis and staging of thoracic diseases.
Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.