Comparisons of short-term outcomes between robot-assisted, video-assisted, and open esophagectomy for resectable esophageal cancer after neoadjuvant treatment: a retrospective study.

Background: Robot-assisted esophagectomy (RAE), video-assisted minimally invasive esophagectomy (VAMIE), and open esophagectomy (OE) all have significant roles in the management of esophageal cancer (EC). Few studies have compared efficacy and safety between RAE, VAMIE, and OE for resectable EC after neoadjuvant treatment. Therefore, this study aimed to explore the short-term outcomes between RAE, VAMIE, and OE for resectable EC after neoadjuvant treatment. Methods: Ninety-eight patients were consecutively enrolled who underwent esophagectomy. A retrospective study was performed including 98 consecutive patients treated from January 2021 to August 2022 who received neoadjuvant treatment (including immunochemotherapy and chemoradiotherapy) followed by RAE, VAMIE or OE. Evaluated endpoints in the present study consisted of pathological outcomes, intraoperative and postoperative outcomes, as well as postoperative complications. Results: No significant differences were seen in the operating time, blood loss, length of intensive care unit (ICU) stay, R0 resection, and number of dissected lymph nodes between the three RAE, VAMIE, or OE groups. The achievement rate of right recurrent laryngeal nerve (RLN) lymph node removal (P=0.01) and the total cost (P<0.001) were higher in RAE. The postoperative hospital stay of OE was longer than the other two groups (P<0.05). There were no significant differences in postoperative complications. Conclusions: Compared to VAMIE, no clear benefit exists for RAE in the treatment of resectable EC after neoadjuvant therapy. OE resulted in a longer hospital stay. Although the rate of successful right RLN node removal was higher with RAE, the clinical relevance for this is yet unclear.

Optimal therapeutic strategy for non-small cell lung cancer with thoracic extrathoracic metastasis: a study based on SEER database.

Background: Non-small cell lung cancer (NSCLC) patients with extrathoracic metastasis (EM) are a highly heterogeneous cohort. Some of these patients could benefit from primary tumor surgery. This study aimed to identify potential NSCLC patients with EM suitable for primary tumor resection and to determine the optimal therapeutic strategy. Methods: NSCLC patients with EM were extracted from the Surveillance, Epidemiology and End Results database between 2010 and 2015. They were stratified into subgroups with single and multi-EMs. Cox regression analysis was adopted to identify prognostic factors for overall survival (OS). The Kaplan-Meier method was used to compare the OS among patients who received different treatment modalities. Results: The univariate Cox regression analysis demonstrated that advanced age, male sex, race (black), married status, squamous cell carcinoma, higher histological grade, advanced T or N stage, contralateral lung metastasis, multi-EMs, tumor size >2 cm, and lack of treatment were associated with poorer OS in patients with NSCLC (P<0.05). Multivariate Cox regression analysis revealed that the number of EM and treatment modalities were independent prognostic factors affecting OS (P<0.001). For patients with single EM, those who did not receive treatment and those who underwent single-agent chemotherapy, single-agent surgery, surgery combined with chemotherapy, surgery combined with radiotherapy, or surgery combined with chemoradiotherapy had median OS times of 3.0, 11.0, 12.0, 26.0, 11.0, and 25.0 months, respectively. Compared to monotherapy, combination therapy showed significant benefits for patients with single EM in NSCLC. Furthermore, patients with single EM who underwent lobectomy, bilobectomy, or pneumonectomy had significantly longer survival than those who underwent sublobar resection, even when the primary tumor size was ≤2 cm (P=0.04). Conclusions: Primary tumor surgery could benefit NSCLC patients with single EM; lobectomy was at least warranted to improve survival even for primary tumors with size ≤2 cm.

Longitudinal association of spirituality with depressive symptom trajectories among older adults in mainland China.

OBJECTIVES: The relationship between spirituality and depressive symptoms among the Chinese elderly is not well known. The current study explores this relationship using longitudinal data and trajectory modeling of depressive symptoms. METHODS: A longitudinal study design was used to measure depressive symptoms repeatedly from 2012 to 2021 using the Geriatric Depression Scale (GDS). Group-based trajectory modeling analysis was conducted to determine the trajectories of depressive symptoms, and multiple logistic regression was used to explore the association between spirituality and depressive symptom trajectories. RESULTS: A total of 2333 participants completed at least two GDS measures, and these were included in the Group-based trajectory modeling analysis. An optimal model of three trajectories was derived: no depressive symptoms group (75.2%), new-onset depressive symptoms group (14.4%), and persistent depressive symptoms group (10.4%). Logistic regression modeling revealed that higher spirituality was associated with a lower risk of both new-onset depressive symptoms (OR = 0.68, 95% CI = 0.49-0.93) and persistent depressive symptoms (OR = 0.32, 95% CI = 0.23-0.45). CONCLUSIONS: Spirituality predicts a lower risk of new-onset depressive symptoms and persistent symptoms among older adults in mainland China.

Light Personality Style and Moral Injury Among Chinese Health Professionals.

Moral injury has attracted attention widely in various occupations, particularly health professionals. Personality traits involve the professional values in clinical decision-making associated with mental outcomes. The current study examines the relationship between "light personality" style and moral injury. Scores on three subscales of the Light Triad Scale were negatively correlated with the Moral Injury Symptoms Scale-Health Professional. Health professionals more likely to have light personality styles may be less likely to suffer from moral injury under high-stake situations. The findings provide evidence to better understand the inner core of the moral injury, suggesting a potential pathway to improve the moral well-being of health professionals by strengthening key elements of light personality.

Prevalence and correlators of burnout among health professionals during different stages of the COVID-19 pandemic in China.

Background: Persistently increased workload and stress occurred in health professionals (HPs) during the past 3 years as the COVID-19 pandemic continued. The current study seeks to explore the prevalence of and correlators of HPs' burnout during different stages of the pandemic. Methods: Three repeated online studies were conducted in different stages of the COVID-19 pandemic: wave 1: after the first peak of the pandemic, wave 2: the early period of the zero-COVID policy, and wave 3: the second peak of the pandemic in China. Two dimensions of burnout, emotional exhaustion (EE) and declined personal accomplishment (DPA), were assessed using Human Services Survey for Medical Personnel (MBI-HSMP), a 9-item Patient Health Questionnaire (PHQ-9), and a 7-item Generalized Anxiety Disorder (GAD-7) to assess mental health conditions. An unconditional logistic regression model was employed to discern the correlators. Results: There was an overall prevalence of depression (34.9%), anxiety (22.5%), EE (44.6%), and DPA (36.5%) in the participants; the highest prevalence of EE and DPA was discovered in the first wave (47.4% and 36.5%, respectively), then the second wave (44.9% and 34.0%), and the third wave had the lowest prevalence of 42.3% and 32.2%. Depressive symptoms and anxiety were persistently correlated with a higher prevalence risk of both EE and DPA. Workplace violence led to a higher prevalence risk of EE (wave 1: OR = 1.37, 95% CI: 1.16-1.63), and women (wave 1: OR = 1.19, 95% CI: 1.00-1.42; wave 3: OR =1.20, 95% CI:1.01-1.44) and those living in a central area (wave 2: OR = 1.66, 95% CI: 1.20-2.31) or west area (wave 2: OR = 1.54, 95% CI: 1.26-1.87) also had a higher prevalence risk of EE. In contrast, those over 50 years of age (wave 1: OR = 0.61, 95% CI: 0.39-0.96; wave 3: OR = 0.60, 95% CI: 0.38-0.95) and who provided care to patients with COVID-19 (wave 2: OR = 0.73, 95% CI: 0.57-0.92) had a lower risk of EE. Working in the psychiatry section (wave 1: OR = 1.38, 95% CI: 1.01-1.89) and being minorities (wave 2: OR = 1.28, 95% CI: 1.04-1.58) had a higher risk of DPA, while those over 50 years of age had a lower risk of DPA (wave 3: OR = 0.56, 95% CI: 0.36-0.88). Conclusion: This three-wave cross-sectional study revealed that the prevalence of burnout among health professionals was at a high level persistently during the different stages of the pandemic. The results suggest that functional impairment prevention resources and programs may be inadequate and, as such, continuous monitoring of these variables could provide evidence for developing optimal strategies for saving human resources in the coming post-pandemic era.

Moral injury and suicidal ideation among health professionals: The role of mental health.

BACKGROUND: The prolonged COVID-19 pandemic has burdened health professionals mentally and physically. This study aims to explore the relationship between moral injury (MI) and suicidal ideation (SI), and the role of mental health conditions in this relationship. METHODS: Three-wave repeated online cross-sectional study with a total of 10,388 health professionals were conducted in different stages (2020-2022) of the COVID-19 pandemic in mainland China. Participants completed the Chinese version of the Moral Injury Symptoms Scale-Health Professional, Post-Traumatic Stress Disorder (PTSD) Checklist for DSM-5 coupled with a blanket of scales. RESULTS: The prevalence of SI and MI among health professionals was 9.8 % and 40.2 %, respectively. The prevalence risk of SI was lower in wave 2 (OR = 0.64, 95 % CI: 0.54-0.77) and wave 3 (OR = 0.71, 95 % CI: 0.60-0.84) when compared with wave 1. MI (OR = 4.66, 95 % CI: 3.99-5.43), medical error (OR = 1.15, 95 % CI: 1.00-1.32), workplace violence (OR = 1.13, 95 % CI: 0.97-1.32), depression (OR = 94.08, 95 % CI: 63.37-139.69), anxiety (OR = 25.54, 95 % CI: 21.22-30.74), PTSD (OR = 24.51, 95 % CI: 19.01-31.60) were associated with a higher risk of SI. The mediation model revealed that depressive, anxiety, and PTSD symptoms explained 90.6 % of the total variance in the relationship between MI and SI. CONCLUSIONS: The risk of SI has reduced among health professionals since the first peak of the COVID-19 pandemic in China. MI may contribute to prevalent SI, and mental health conditions, especially depressive symptoms, play a significant role as mediators. LIMITATIONS: Cross-sectional design precludes the investigation of casual relationships. The nonrandom sampling method limits the generalization.

Investigation of Prognostic Markers of Lung Adenocarcinoma Based on Tumor Metabolism-Related Genes.

Lung adenocarcinoma (LUAD) is a prevalent cancer killer. Investigation on potential prognostic markers of LUAD is crucial for a patient's postoperative planning. LUAD-associated datasets were acquired from Gene Expression Omnibus (GEO) as well as The Cancer Genome Atlas (TCGA). LUAD metabolism-associated differentially expressed genes were obtained, combining tumor metabolism-associated genes. COX regression analyses were conducted to build a five-gene prognostic model. Samples were divided into high- and low-risk groups by the established model. Survival analysis displayed favorable prognosis in the low-risk group in the training set. Favorable predictive performance of the model was discovered as hinted by receiver's operative curve (ROC). Survival analysis and ROC analysis in the validation set held an agreement. Gene Set Enrichment Analysis (GSEA), tumor mutation bearing (TMB), and immune infiltration differential analysis were performed. The two groups displayed differences in glycolysis gluconeogenesis, P53 signaling pathway, etc. The high-risk group showed higher TP53 mutation frequency as well as TMB. The low-risk group displayed higher immune activity along with immune score. Altogether, this study casts light on further development of novel prognostic markers for LUAD.

Does a thoracoscopic approach provide better outcomes for pulmonary metastases?

Traditional open thoracotomy (OT) is the gold standard treatment for patients with pulmonary metastases. However, it remains controversial whether video-assisted thoracic surgery (VATS) can provide comparable outcomes to OT. We conducted this review to compare the outcomes of VATS with OT in pulmonary metastasectomy (PM). Relevant studies published up to November 2019 were identified from PubMed data base and screened. Studies were then selected by the researchers based on our selection criteria. Data including the type of study, patient groups, outcomes and key results were extracted from the included studies and summarized. Screening of 2,788 papers identified 9 that were relevant to our research question. The authors, dates of publication, journal details, type of study, patient groups, outcomes and key results from these papers were summarized. All 9 studies documented the survival rate (1-, 3- and 5-year survival). Metastases from colorectal cancer were investigated in three studies, and metastases from sarcoma were investigated in one study. The overall survival rate of VATS was not inferior to that of OT in patients with pulmonary metastases. VATS was also associated with better perioperative results compared with OT. In conclusion, VATS is suitable as an alternative surgical technique for PM.

Surgical Outcomes of Lobectomy Versus Limited Resection for Clinical Stage I Ground-Glass Opacity Lung Adenocarcinoma 2 Centimeters or Smaller.

BACKGROUND: To compare the surgical outcomes of patients with clinical stage I ground-glass opacity (GGO) lung adenocarcinomas with maximum diameters of ≤ 2 cm who underwent lobectomy versus limited resection. PATIENTS AND METHODS: We retrospectively reviewed cases of clinical stage I GGO lung adenocarcinoma with a diameter ≤ 2 cm that were treated via lobectomy or limited resection in our department between January 2011 and September 2018. The clinical characteristics and surgical outcomes were analyzed using a propensity score-matched comparison and a Cox regression model. RESULTS: A total of 552 patients were identified; 128 patients with pure GGO were excluded. Four hundred twenty-four patients met our criteria, including 242 (57.1%) who underwent lobectomy and 182 (42.9%) who underwent limited resection. No perioperative mortality occurred in either group. The overall 5-year survival rate of the entire cohort was 88%. Patients who underwent limited resection tended to have a shorter operation time, smaller blood loss volume, fewer removed nodes, and a shorter postoperative stay. However, the groups did not differ in terms of postoperative complications. Lobectomy and limited resection could lead to equivalent overall survival in patients with GGO-dominant tumor, while lobectomy showed better overall survival than limited resection in patients with solid-dominant tumor. CONCLUSION: Patients with small GGO lung adenocarcinoma had a favorable prognosis after surgery. The oncologic surgical procedures of lobectomy and limited resection yielded comparable outcomes in patients with clinical stage I GGO-dominant lung adenocarcinomas ≤ 2 cm, while lobectomy showed better survival than limited resection in patients with solid-dominant tumor.

How we assess the perioperative anxiety of surgical patients with pulmonary nodules: the revision of state-trait anxiety inventory.

PURPOSE: The aim of the study was to develop a short form of State-Trait Anxiety Inventory (STAI) and calculate the norms for the assessment of anxiety in surgical patients in mainland China. METHODS: Patients who were scheduled to carry out pulmonary surgery in our department were included. The sinicized 40-item STAI Form-Y was used to assess the anxiety on the surgery eve. Then the coefficient of variation, coefficient of correlation, stepwise regression analysis, principal component analysis, and structural equation model were successively to filter the items. The reliability and validity of the revised STAI was estimated and the norms were computed. RESULTS: 445 intact replies were collected. A 13-item STAI with 6 items in state subscale and 7 items in trait subscale produced similar scores with the full version of STAI. The Cronbach alpha coefficients for the state and trait subscales were 0.924 and 0.936, respectively. The determinant coefficients were 0.781 and 0.822, respectively. Moreover, the norms of both state subscale and trait subscale are provided according to the age and gender. CONCLUSIONS: The revised short form of STAI has good reliability and validity. It is likely to be more acceptable by reducing the fatigue effects, and is suitable for follow-up study on the assessment and intervention of perioperative anxiety of surgical patients with pulmonary nodules.

A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules.

BACKGROUND: The differential diagnosis of subcentimetre lung nodules with a diameter of less than 1 cm has always been one of the problems of imaging doctors and thoracic surgeons. We plan to create a deep learning model for the diagnosis of pulmonary nodules in a simple method. METHODS: Image data and pathological diagnosis of patients come from the First Affiliated Hospital of Zhejiang University School of Medicine from October 1, 2016, to October 1, 2019. After data preprocessing and data augmentation, the training set is used to train the model. The test set is used to evaluate the trained model. At the same time, the clinician will also diagnose the test set. RESULTS: A total of 2,295 images of 496 lung nodules and their corresponding pathological diagnosis were selected as a training set and test set. After data augmentation, the number of training set images reached 12,510 images, including 6,648 malignant nodular images and 5,862 benign nodular images. The area under the P-R curve of the trained model is 0.836 in the classification of malignant and benign nodules. The area under the ROC curve of the trained model is 0.896 (95% CI: 78.96%~100.18%), which is higher than that of three doctors. However, the P value is not less than 0.05. CONCLUSION: With the help of an automatic machine learning system, clinicians can create a deep learning pulmonary nodule pathology classification model without the help of deep learning experts. The diagnostic efficiency of this model is not inferior to that of the clinician.

[Current Status and Development of Interventional Techniques for Pulmonary Diseases].

Bronchoscope is the core part of the interventional diagnosis and treatment technology for lung diseases, which has experienced more than 100 years of development history. It has gradually formed a diagnosis and treatment model of pulmonary diseases with cooperation of multi-clinical disciplines, deep integration of interventional minimally invasive techniques, and cross-integration of diversified diagnosis and treatment concepts. This article aimed to review the current status and development of interventional diagnosis and treatment techniques for lung diseases, and introduces the characteristics of the interventional treatment of our center.

Da Vinci robot-assisted surgery versus video-assisted thoracoscopic surgery for resection of mediastinal tumors: A retrospective cohort study / 中国胸心血管外科临床杂志

@#Objective    To summarize the experience of minimally invasive anterior mediastinal tumor resection in our center, and compare the Da Vinci robotic and video-assisted thoracoscopic approaches in the treatment of mediastinal tumor. Methods    A retrospective cohort study was conducted to continuously enroll 102 patients who underwent minimally invasive mediastinal tumor resection between September 2014 and November 2019 by the single medical group in our department. They were divided into two groups: a robotic group (n=47, 23 males and 24 females, average age of 52 years) and a thoracoscopic group (n=55, 29 males and 26 females, average age of 53 years). The operation time, intraoperative blood loss, postoperative thoracic drainage volume, postoperative thoracic drainage time, postoperative hospital stay, hospitalization expense and other clinical data of two groups were compared and analyzed. Results    All the patients successfully completed the surgery and recovered from hospital, with no perioperative death. Myasthenia gravis occurred in 4 patients of the robotic group and 5 of the thoracoscopic group. The tumor size was 2.5 (0.8-8.7) cm in the robotic group and 3.0 (0.8-7.7) cm in the thoracoscopic group. Operation time was 62 (30-132) min in the robotic group and 60 (29-118) min in the thoracoscopic group. Intraoperative bleeding volume was 20 (2-50) mL in the robotic group and 20 (5-100) mL in the thoracoscopic group. The postoperative drainage volume was 240 (20-14 130) mL in the robotic group and 295 (20-1 070) mL in the thoracoscopic group. The postoperative drainage time was 2 (1-15) days in the robotic group and 2 (1-5) days in the thoracoscopic group. There was no significant difference between the two groups in the above parameters and postoperative complications (P>0.05). The postoperative hospital stay were 3 (2-18) days in the robotic group and 4 (2-14) in the thoracoscopic group (P=0.014). The hospitalization cost was 67 489 (26 486-89 570) yuan in the robotic group and 27 917 (16 817-67 603) yuan in the thoracoscopic group (P=0.000). Conclusion    Compared with the video-assisted thoracoscopic surgery, Da Vinci robot-assisted surgery owns the same efficacy and safety in the treatment of mediastinal tumor, with shorter postoperative hospital stay, but higher cost.

Downregulation of HSPA2 inhibits proliferation via ERK1/2 pathway and endoplasmic reticular stress in lung adenocarcinoma.

BACKGROUND: To explore the mechanisms of HSPA2 downregulation in inhibiting the proliferation of lung adenocarcinoma. METHODS: We obtained 85 specimens of human lung adenocarcinoma and specimens of adjacent nontumor tissues from the First Affiliated Hospital, School of Medicine, Zhejiang University. We then analyzed the expression of HSPA2 in these tissues and in lung adenocarcinoma and normal lung cell lines. Human lung adenocarcinoma cell lines were transfected with siRNA silencing HSPA2 and subjected to colony forming, Thiazolyl blue tetrazolium bromide (MTT), propidium iodide flow cytometry, immunofluorescence assay and western blotting to explore the causes of the reduction in the proliferation of lung adenocarcinoma cells and the endoplasmic reticulum stress induced by HSPA2 downregulation. Finally, we confirmed these mechanisms via rescue assay. RESULTS: Greater HSPA2 expression was found in the lung adenocarcinoma specimens than in the specimens of adjacent nontumor tissues, and greater expression was found in lung adenocarcinoma cell lines than in normal cell lines. HSPA2 knockdown via siRNA reduced proliferation and led to G1/S phase cell cycle arrest in the lung adenocarcinoma cell lines. G1/S phase cell cycle arrest triggered by HSPA2 downregulation could be attributed, at least in part, to phosphorylation and activation of the Erk1/2 pathway and probably to activation of IRE1α/PERK-mediated endoplasmic reticulum stress. CONCLUSIONS: HSPA2 plays an important role in the origin and development of lung adenocarcinoma. It is thus deserving of further study as a promising clinical therapeutic target.

Novel preoperative nutritional assessment tool and prognostic model for ESCC patients.

Background: Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive tumor types worldwide, and malnutrition prevails in these patients. However, there is no preoperative nutritional assessment tool specifically designed for patients with ESCC. Methods: Patients who received esophagectomy from 2004 to 2016 were consecutively included. The preoperative nutritional risk factors for ESCC were screened by univariate and multivariate Cox regression analysis to construct a new nutritional scoring tool. A prognostic model of ESCC based on the new scoring tool was further proposed. Results: A total of 510 ESCC patients were enrolled. A novel BLUT (BMI-lymphocyte-uric acid-triglyceride) scoring tool based on BMI, lymphocyte count, uric acid level, and triglyceride level was proposed, which could effectively predict the prognosis of ESCC patients (log rank P<0.001), and it was better than the traditional nutritional assessment tools. The C-index and 95% confidence interval (CI) of the nomogram based on the BLUT scoring tool was 0.735(0.698-0.772). It had good prognostic efficacy and was significantly better than the model based on T stage and N stage (P=0.038). The calibration curve of internal and external validation suggested a good fitting effect with the real situation in judging the 1-year, 3-year, and 5-year survival status. Conclusions: The BULT scoring tool could distinguish the heterogeneity of preoperative nutritional status and the BLUT-based nomogram had good prognostic performance for ESCC patients.

Identification of Genes Associated with Lung Adenocarcinoma Prognosis.

OBJECTIVE: Lung cancer is the most prevalent cancer in the world, and lung adenocarcinoma is the most common lung cancer subtype. Identification and determination of relevant prognostic markers are the key steps to personalized cancer management. METHODS: We collected the gene expression profiles from 265 tumor tissues of stage I patients from The Cancer Genome Atlas (TCGA) databases. Using Cox regression model, we evaluated the association between gene expression and the overall survival time of patients adjusting for gender and age at initial pathologic diagnosis. RESULTS: Age at initial pathologic diagnosis was identified to be associated with the survival, while gender was not. We identified that 15 genes were significantly associated with overall survival time of patients (FDR < 0.1). The 15-mRNA signature- based risk score was helpful to distinguish patients of high-risk group from patients of low-risk group. CONCLUSION: Our findings reveal novel genes associated with lung adenocarcinoma survival and extend our understanding of how gene expression contributes to lung adenocarcinoma survival. These results are helpful for the prediction of the prognosis and personalized cancer management.

Pulmonary nodular lymphoid hyperplasia: a rare benign disease with malignant mask.

BACKGROUND: Pulmonary nodular lymphoid hyperplasia (PNLH) is a rare benign disease lacking systematically clinical assessment. This study aims to explore the clinical features of PNLH and evaluate the safety and efficacy of different surgical approaches for PNLH. METHODS: Patients with confirmed PNLH in our department between March 2007 and August 2017 were retrospectively reviewed. The detail information of patients, including demographic characteristics, medical history, preoperative investigations, perioperative findings, postoperative conditions, and recurrence status, was collected and analyzed. RESULTS: A total of 67 patients with PNLH were diagnosed in our department, and 15 of them were suspected to have lung cancer by radiological examination before the surgery. 43 of 67 patients underwent sublobar resection and 24 patients underwent lobectomy. Compared with the lobectomy, sublobar resection showed more significant advantages in operation time (P<0.001), blood loss (P=0.001), volume of chest drainage (P=0.007), duration of chest drainage (P=0.001) and postoperative hospital stay (P=0.001). CONCLUSIONS: The diagnosis of PNLH before operation is challenging and it should be taken into consideration in the differential diagnosis of lung nodules. Compared with lobectomy, sublobar resection is an alternative approach for the treatment of PNLH.

Research progress and prospect on diagnosis and treatment of robotic surgery in the era of artificial intelligence / 中国胸心血管外科临床杂志

@#The technical combination of artificial intelligence (AI) and thoracic surgery is increasingly close, especially in the field of image recognition and pathology diagnosis. Additionally, robotic surgery, as a representative of high-end technology in minimally invasive surgery is flourishing. What progress has been or will be made in robotic surgery in the era of AI? This article aims to summarize the application status of AI in thoracic surgery and progress in robotic surgery, and looks ahead the future.

[Research Progress of the Role of EMT in EGFR-TKIs Resistance 
of Non-small Cell Lung Cancer].

Lung cancer is the one of the malignant tumor of the highest morbidity and mortality over the world, and non-small cell lung cancer (NSCLC) makes up about 80%. Nowadays, molecular targeted therapy has been the first-line treatment for NSCLC. Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are increasingly used in the clinical treatment, but the EGFR-TKIs acquired resistance becomes the bottleneck of continuation of EGFR-TKIs therapy. Epithelial-mesenchymal transition (EMT) is a biological phenomenon in which epithelial cells are transformed into mesenchymal cells. EMT promoted metastasis, invasion of lung cancer and conferred characteristic of stem cell on cancer cells. Meanwhile, EMT is one of an important cause of EGFR-TKIs resistance in NSCLC. The recent studies have found that resistant cells restored the sensitivity to EGFR-TKIs by reversing EMT which suggested that the target of EMT may contribute to inhibit or even reverse the resistance of EGFR-TKIs. Here we make a review about research progress of EMT in EGFR-TKIs resistance in NSCLC.
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