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Lucà S, Zannini G, Morgillo F, Della Corte CM, Fiorelli A, Zito Marino F, Campione S, Vicidomini G, Guggino G, Ronchi A, Accardo M, Franco R. The prognostic value of histopathology in invasive lung adenocarcinoma: a comparative review of the main proposed grading systems. Expert Rev Anticancer Ther 2023; 23:265-277. [PMID: 36772823 DOI: 10.1080/14737140.2023.2179990] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
INTRODUCTION An accurate histological evaluation of invasive lung adenocarcinoma is essential for a correct clinical and pathological definition of the tumour. Different grading systems have been proposed to predict the prognosis of invasive lung adenocarcinoma. AREAS COVERED Invasive non mucinous lung adenocarcinoma is often morphologically heterogeneous, consisting of complex combinations of architectural patterns with different proportions. Several grading systems for non-mucinous lung adenocarcinoma have been proposed, being the main based on architectural differentiation and the predominant growth pattern. Herein we perform a thorough review of the literature using PubMed, Scopus and Web of Science and we highlight the peculiarities and the differences between the main grading systems and compare the data about their prognostic value. In addition, we carried out an evaluation of the proposed grading systems for less common histological variants of lung adenocarcinoma, such as fetal adenocarcinoma and invasive mucinous adenocarcinoma. EXPERT OPINION The current IASLC grading system, based on the combined score of predominant growth pattern plus high-grade histological pattern, shows the stronger prognostic significance than the previous grading systems in invasive non mucinous lung adenocarcinoma.
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Affiliation(s)
- Stefano Lucà
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Giuseppa Zannini
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Floriana Morgillo
- Department of Precision Medicine, Medical Oncology, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Carminia Maria Della Corte
- Department of Precision Medicine, Medical Oncology, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Alfonso Fiorelli
- Division of Thoracic Surgery, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy
| | - Federica Zito Marino
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Severo Campione
- A. Cardarelli Hospital, Department of Advanced Diagnostic-Therapeutic Technologies and Health Services Section of Anatomic Pathology, Naples, Italy
| | - Giovanni Vicidomini
- Division of Thoracic Surgery, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy
| | - Gianluca Guggino
- Thoracic Surgery Department, AORN A. Cardarelli Hospital, Naples, Italy
| | - Andrea Ronchi
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Marina Accardo
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Renato Franco
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
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Tang H, Qiao C, Wang Y, Bai C. Characteristics and Prognostic Nomogram for Primary Lung Lepidic Adenocarcinoma. Can Respir J 2022; 2022:3676547. [PMID: 36091329 PMCID: PMC9453021 DOI: 10.1155/2022/3676547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 06/20/2022] [Accepted: 07/21/2022] [Indexed: 11/18/2022] Open
Abstract
Background Lepidic adenocarcinoma (LPA) is an infrequent subtype of invasive pulmonary adenocarcinoma (ADC). However, the clinicopathological features and prognostic factors of LPA have not been elucidated. Methods Data from the Surveillance, Epidemiology, and End Results (SEER) database of 4191 LPA patients were retrospectively analyzed and compared with non-LPA pulmonary ADC to explore the clinicopathological and prognosis features of LPA. Univariate and multivariate Cox proportional hazard models were performed to identify independent survival predictors for further nomogram development. The nomograms were validated using the concordance index, receiver operating characteristic curves, and calibration plots, as well as decision curve analysis, in both the training and validation cohorts. Results Compared with non-LPA pulmonary ADC patients, those with LPA exhibited unique clinicopathological features, including more elderly and female patients, smaller tumor size, less pleural invasion, and lower histological grade and stage. Multivariate analyses showed that age, sex, race, tumor location, primary tumor size, pleural invasion, histological grade, stage, primary tumor surgery, and chemotherapy were independently associated with overall survival (OS) and cancer-specific survival (CSS) in patients with LPA. The nomograms showed good accuracy compared with the actual observed results and demonstrated improved prognostic capacity compared with the TNM stage. Conclusions LPA is more frequently diagnosed in older people and women. LPA was inclined to be smaller in tumor size and lower in tumor grade and staging, which may indicate a favorable prognosis. The constructed nomograms accurately predict the long-term survival of LPA patients.
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Affiliation(s)
- Hui Tang
- Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Caixia Qiao
- Department of Medical Oncology, Liaocheng Third People's Hospital, Liaocheng, China
| | - Yingyi Wang
- Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chunmei Bai
- Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Liu C, Wang LC, Chen HS, Yeh YC, Hsu PK, Huang CS, Hsieh CC, Hsu HS. Outcomes of patients with different lepidic percentage and tumor size of stage I lung adenocarcinoma. Thorac Cancer 2022; 13:2005-2013. [PMID: 35680127 PMCID: PMC9284188 DOI: 10.1111/1759-7714.14477] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/30/2022] [Accepted: 05/02/2022] [Indexed: 12/25/2022] Open
Abstract
Background To evaluate the long‐term outcomes after surgical resection for stage I lung adenocarcinoma based on the percentage of lepidic component (LC) and invasive tumor size (IS). Methods The clinicopathological characteristics of 1049 patients with stage I lung adenocarcinoma who underwent surgery between 2006 and 2016 were retrospectively reviewed. Tumors were categorized into groups: A (LC ≥ 50%) and B (LC < 50%). Groups A0 and A1 consisted of minimally invasive adenocarcinomas (MIA) and other lepidic‐predominant invasive adenocarcinomas, respectively. Group B was categorized into B1 (IS ≤ 1 cm), B2 (1 < IS≤2 cm), and B3 (2 < IS≤3 cm) by invasive tumor size and divided into subgroups (B1[lep+]/[lep−], B2[lep+]/[lep−], and B3[lep+]/[lep−]) according to the presence[lep+] or absence[lep−] of LCs. Cumulative incidence of recurrence (CIR) and cancer‐specific survival (CSS) were examined. Results LC decreased with increasing IS. Only 24 (8.5%) tumors in group A had an IS >1 cm. 10‐year CIR and CSS were 15.2% and 86.0%. LC and IS were found to be independent predictors of CSS. Patients in group A had 1.4% 10‐year CIR and 100% 10‐year CSS. In group B, a significantly higher CIR and worse CSS were observed as IS increased (p < 0.001), but LC was not a predictor for CSS (p = 0.593). No significant differences in CIR or CSS were found in presence of LC or not when LC < 50% (B1[lep+]/[lep−], B2[lep+]/[lep−], and B3[lep+]/[lep−]: p = 0.36/0.48, p = 0.82/0.94, and p = 0.90/0.37, respectively). Conclusions LC≥50% tumors demonstrated excellent prognosis regardless of IS. The outcomes of LC < 50% tumors were well predicted by IS, corresponding to the T‐staging system. The predictive value of LC for prognosis became insignificant.
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Affiliation(s)
- Chia Liu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Lei-Chi Wang
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Hui-Shan Chen
- Department of Health Care Administration, Chang Jung Christian University, Tainan City, Taiwan
| | - Yi-Chen Yeh
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Po-Kuei Hsu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taiwan
| | - Chien-Sheng Huang
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taiwan
| | - Chih-Cheng Hsieh
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taiwan
| | - Han-Shui Hsu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang-Ming Chiao Tung University, Taiwan
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Cangir AK, Yenigün BM, Direk T, Kocaman G, Yücemen U, Kahya Y, Sak SD, Enön S. Different View on Tumor Size Dilemma in Tumor-Node-Metastasis Staging System for Thymoma. Thorac Cardiovasc Surg 2020; 69:148-156. [PMID: 32898892 DOI: 10.1055/s-0040-1715490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Although tumor size is included in the definition of T descriptor in the tumor-node-metastasis (TNM) classification of many solid tumors, it is not considered for thymomas. This study aimed to assess the relationship of tumor diameters (the largest tumor diameter [LTD] and the mean tumor diameter [MTD]) with survival in thymoma patients undergoing surgical resection in a single center. METHODS The study included 127 thymoma patients (age, 49.2 ± 15.2 years; 65 males), who were evaluated based on pathological tumor sizes according to the LTD and MTD ([largest diameter + shortest diameter] / 2) and divided into three subgroups for each parameter as: patients with an LTD of ≤5 cm, 5.1 to 10 cm, and >10 cm and patients with an MTD of ≤5, 5.1 to 10, and >10 cm. RESULTS In thymoma patients, survival significantly differed according to the presence of myasthenia gravis (p = 0.018), resection status (R0 or R1; p = 0.001), T status (p = 0.015), and the Masaoka-Koga stage (p = 0.003). In the LTD subgroups, the overall survival of those with R0 resection was lower in those with an LTD of 5.1 to 10 cm than in those with an LTD of ≤5 cm (p = 0.051) and significantly lower in those with an MTD of 5.1 to 10 cm than in those with an MTD of ≤5 cm (p = 0.027). In the MTD subgroups, survival decreased as the tumor size increased. CONCLUSION Both smaller tumor size and complete resection are associated with better survival in thymoma patients. Therefore, the largest or the mean tumor size might be considered as a criterion in the TNM staging for thymoma.
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Affiliation(s)
- Ayten Kayı Cangir
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Bülent Mustafa Yenigün
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Tamer Direk
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Gokhan Kocaman
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Ugurum Yücemen
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Yusuf Kahya
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Serpil Dizbay Sak
- Department of Pathology, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
| | - Serkan Enön
- Department of Thoracic Surgery, Ankara University Faculty of Medicine, Ibni Sina Hospital, Ankara, Turkey
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Su H, Dai C, She Y, Ren Y, Zhang L, Xie H, Xie D, Jiang G, Chen C. Which T descriptor is more predictive of recurrence after sublobar resection: whole tumour size versus solid component size? Eur J Cardiothorac Surg 2019; 54:1028-1036. [PMID: 29901712 DOI: 10.1093/ejcts/ezy225] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 05/09/2018] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVES We aimed to assess the predictive value of different T descriptors, including the whole tumour size (Dwhole) and solid component size (Dsolid), in patients with clinical Stage IA adenocarcinoma who underwent sublobar resection. METHODS According to computed tomography images in the lung window, T descriptors, Dwhole and Dsolid, were applied. To evaluate the predictive value of these 2 different descriptors in predicting tumour recurrence and pathological malignant behaviours, Cox hazard regression and a receiver-operating characteristic curve analysis, respectively, were used. RESULTS In total, 247 patients were included. Of these patients, 109 and 138 had ground glass and solid nodules, respectively. When the T descriptor was changed from Dwhole to Dsolid, 37 tumours (15%) were downgraded to T1a status from T1b/T1c status. Multivariable Cox analysis showed that Dsolid was an independent risk factor of worse recurrence-free survival [hazard ratio (HR) 2.36, 95% confidence interval (CI) 1.24-4.47; P = 0.009], while Dwhole was not (HR 1.51, 95% CI 0.79-2.89; P = 0.215). In the receiver-operating characteristic analysis, the areas under the curves for Dwhole and Dsolid used to identify pathological malignant behaviours were 0.598 and 0.739, respectively. CONCLUSIONS The T descriptor, which is represented by Dsolid, rather than Dwhole, is a better predictor of tumour recurrence after sublobar resection in clinical Stage IA lung adenocarcinoma. Furthermore, our results provide some clues indicating that sublobar resection should be performed cautiously in patients with lung adenocarcinoma manifesting as ground glass nodule with Dsolid >2 cm.
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Affiliation(s)
- Hang Su
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chenyang Dai
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yijiu Ren
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lei Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Huikang Xie
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dong Xie
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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Rami-Porta R, Call S, Dooms C, Obiols C, Sánchez M, Travis WD, Vollmer I. Lung cancer staging: a concise update. Eur Respir J 2018; 51:13993003.00190-2018. [PMID: 29700105 DOI: 10.1183/13993003.00190-2018] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 04/04/2018] [Indexed: 12/13/2022]
Abstract
Diagnosis and clinical staging of lung cancer are fundamental to planning therapy. The techniques for clinical staging, i.e anatomic and metabolic imaging, endoscopies and minimally invasive surgical procedures, should be performed sequentially and with an increasing degree of invasiveness. Intraoperative staging, assessing the magnitude of the primary tumour, the involved structures, and the loco-regional lymphatic spread by means of systematic nodal dissection, is essential in order to achieve a complete resection. In resected tumours, pathological staging, with the systematic study of the resected specimens, is the strongest prognostic indicator and is essential to make further decisions on therapy. In the present decade, the guidelines on lung cancer staging of the American College of Chest Physicians and the European Society of Thoracic Surgeons are based on the best available evidence and are widely followed. Recent advances in the classification of the adenocarcinoma of the lung, with the definition of adenocarcinoma in situ, minimally invasive adenocarcinoma and lepidic predominant adenocarcinoma, and the publication of the eighth edition of the tumour, node and metastasis classification of lung cancer, have to be integrated into the staging process. The present review complements the latest guidelines on lung cancer staging by providing an update of all these issues.
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Affiliation(s)
- Ramón Rami-Porta
- Dept of Thoracic Surgery, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain.,Network of Centres for Biomedical Research in Respiratory Diseases (CIBERES) Lung Cancer Group, Barcelona, Spain
| | - Sergi Call
- Dept of Thoracic Surgery, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain.,Dept of Morphological Sciences, School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Christophe Dooms
- Dept of Respiratory Diseases, University Hospitals, KU Leuven, Leuven, Belgium
| | - Carme Obiols
- Dept of Thoracic Surgery, Hospital Universitari Mutua Terrassa, University of Barcelona, Barcelona, Spain
| | - Marcelo Sánchez
- Centre of Imaging Diagnosis, Radiology Dept, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - William D Travis
- Dept of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ivan Vollmer
- Centre of Imaging Diagnosis, Radiology Dept, Hospital Clínic, University of Barcelona, Barcelona, Spain
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Bian D, Zhou F, Yang W, Zhang K, Chen L, Jiang G, Zhang P, Wu C, Fei K, Zhang L. Thymoma size significantly affects the survival, metastasis and effectiveness of adjuvant therapies: a population based study. Oncotarget 2018; 9:12273-12283. [PMID: 29552309 PMCID: PMC5844745 DOI: 10.18632/oncotarget.24315] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 11/16/2017] [Indexed: 01/07/2023] Open
Abstract
Background Thymoma, though a rare tumor disease, is the most common tumor of the anterior mediastinum. However, tumor size, as a critical factor, has been underestimated. Results Age, advanced tumor stage, and preoperative radiotherapy were poor prognostic factors of overall survival (OS) and disease specific survival (DSS) (P < 0.05 for all). Besides, tumor size was significantly related to survival. The larger tumor size indicated the less OS and DSS (P < 0.001 for all). Multivariate analysis revealed elder age, advanced stage, larger size were independent adverse predictors for survival (P < 0.05 for all). Logistic analysis revealed larger tumor size had greater rate of metastasis (P < 0.001). In the group with tumors smaller than 90mm, chemotherapy was a negative predictive factor of DSS (P < 0.05 for all), and it significantly decreased OS especially with tumor sizes between 50 and 90 mm (P < 0.001). Materials and Methods A total of 1,272 thymoma patients were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Survival based on thymoma size and other characteristics of tumors were analyzed by univariate and multivariate analysis. Correlation between thymoma size and thymoma metastatic status was contributed by logistic regression analysis. The efficiency of adjuvant therapy was analysis by stratification analysis. Conclusions Thymoma size could predict postoperative survival and guide chemotherapeutic regimens of patients. Larger tumor size indicated worse survival and higher metastatic rate. If thymoma is smaller than 90mm, traditional chemotherapy should be prohibited. While chemotherapy could be performed moderately when thymoma larger than 90 mm.
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Affiliation(s)
- Dongliang Bian
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Feng Zhou
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Weiguang Yang
- School of Medicine, Tongji University, Shanghai 200092, P.R. China
| | - Kaixuan Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Linsong Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Ke Fei
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
| | - Lei Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, P.R. China
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