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Bi W, Zhao S, Wu C, Gao J, Zhao S, Yang S, Deng Y, Nie P, Yu X, Deng H, Zang X, Ma X, Han J, Asuquo I, Wang X, Xue X. Pulmonary mucosa-associated lymphoid tissue lymphoma: CT findings and pathological basis. J Surg Oncol 2021; 123:1336-1344. [PMID: 33523526 DOI: 10.1002/jso.26403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 12/25/2020] [Accepted: 01/11/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Pulmonary mucosa-associated lymphoid tissue lymphoma (MALToma) is the most frequent subset of primary pulmonary lymphoma. This study aimed to identify radiologic characteristics of pulmonary MALToma based on computed tomography (CT) observations and pathologic features, and further investigate its prognosis. METHODS Sixty-six patients (55.4 ± 10.9 years; 51.5% male) diagnosed as pulmonary MALToma by pathology were retrospectively enrolled. According to distributions and features of lesions shown on CT, patients were divided into three patterns, including single nodular/mass, multiple nodular/mass, and pneumonia-like consolidative. RESULTS Variety of the location and extent of the lymphomatous infiltration accounted for different characteristics demonstrated at CT. The pneumonia-like consolidative pattern was the most frequent pattern observed in 42 patients (63.6%), followed by single nodular/mass (21.2%) and multiple nodular/mass (15.2%). CT features included air bronchogram (72.7%), well-marginated halo sign (53.0%), coarse spiculate with different lengths (72.7%), angiogram sign (77.1% of 35 patients), peribronchovascular thickening (48.5%), irregular cavitation (16.7%) and pulmonary cyst (7.6%). The estimated 5-year cumulative overall survival rate of pulmonary MALToma was 100.0%. CONCLUSIONS Pulmonary MALToma demonstrates several characteristics at CT. Identification of the significant pulmonary abnormalities of this indolent disease entity might be helpful for early diagnosis and optimal treatment.
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Affiliation(s)
- Wanli Bi
- Department of Radiology, Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Shuo Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Chongchong Wu
- Department of Radiology, The Chinese PLA General Hospital, Beijing, China
| | - Jie Gao
- Department of Pathology, The Chinese PLA General Hospital, Beijing, China
| | - Shaohong Zhao
- Department of Radiology, The Chinese PLA General Hospital, Beijing, China
| | - Shifeng Yang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yan Deng
- Department of Radiology, Qilu Hospital, Shandong University, Jinan, Shandong, China
| | - Pei Nie
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xinxin Yu
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Hui Deng
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Xuelei Zang
- Department of Microbiology, The Chinese PLA General Hospital, Beijing, China
| | - Xidong Ma
- Department of Respiratory Disease, School of Clinical Medicine, Weifang Medical University, Weifang, Shandong, China
| | - Jun Han
- Department of Radiology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Idorenyin Asuquo
- Department of and Respiratory, Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xinying Xue
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Peking University Ninth School of Clinical Medicine, Beijing, China
- Department of Respiratory and Critical Care, Chinese PLA General Hospital, Beijing, China
- Affiliated Hospital of Weifang Medical University, Shandong, China
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Xue X, Asuquo I, Hong L, Gao J, Dong Z, Pang L, Jiang T, Meng M, Fan J, Wen J, Deng H, Zang X, Ma X, Guo R, Qin C, Meng Y, Ma H, Han J, Wang H, Xue Z, Zhao D, Lin D, Pan L. Catalog of Lung Cancer Gene Mutations Among Chinese Patients. Front Oncol 2020; 10:1251. [PMID: 32850378 PMCID: PMC7417348 DOI: 10.3389/fonc.2020.01251] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 06/17/2020] [Indexed: 12/29/2022] Open
Abstract
Background: Detailed catalog of lung cancer-associated gene mutations provides valuable information for lung cancer diagnosis and treatment. In China, there has never been a wide-ranging study cataloging lung cancer-associated gene mutations. This study aims to reveal a comprehensive catalog of lung cancer gene mutations in china, focusing on EGFR, ALK, KRAS, HER2, PIK3CA, MET, BRAF, HRAS, and CTNNB1 as major targets. Additionally, we also aim to correlate smoking history, gender, and age distribution and pathological types with various types of gene mutations. Patients and Methods: A retrospective data acquisition was conducted spanning 6 years (2013-2018) among all patients who underwent lung cancer surgeries not bronchial or percutaneous lung biopsy at three major tertiary hospitals. Finally, we identified 1,729 patients who matched our inclusion criteria. Results: 1081 patients (62.49%) harbored EGFR mutation. ALK (n = 42, 2.43%), KRAS (n = 201, 11.62%), CTNNB1 (n = 28, 1.62%), BRAF (n = 31, 1.79%), PIK3CA (n = 51, 2.95%), MET (n = 14, 0.81%), HER2 (n = 47, 2.72%), HRAS (n = 3, 0.17%), and other genes(n = 232, 13.4%). Females expressed 55.38% vs. males 44.62% mutations. Among subjects with known smoking histories, 32.82% smokers, 67.15% non-smokers were observed. Generally, 51.80% patients were above 60 years vs. 48.20% in younger patients. Pathological types found includes LUADs 71.11%, SQCCs 1.68%, ASC 0.75%, LCC 0.58%, SCC 0.35%, ACC 0.17%, and SC 0.06%, unclear 25.19%. Conclusion: We offer a detailed catalog of the distribution of lung cancer mutations. Showing how gender, smoking history, age, and pathological types are significantly related to the prevalence of lung cancer in China.
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Affiliation(s)
- Xinying Xue
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Idorenyin Asuquo
- Department of Radiology, Jinzhou Medical University, Jinzhou, China
| | - Lei Hong
- Internal Medicine Department, Xuhui Changqiao Community Health Care Centre, Shanghai, China
| | - Jie Gao
- Department of Pathology, Chinese PLA General Hospital, Beijing, China
| | - Zhouhuan Dong
- Department of Pathology, Chinese PLA General Hospital, Beijing, China
| | - Li Pang
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Tianjiao Jiang
- Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Mingming Meng
- Department of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Jingbo Fan
- Department of Respiratory and Critical Care, Second Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Jiaxin Wen
- Department of Chest Surgery, Chinese PLA General Hospital, Beijing, China
| | - Hui Deng
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Xuelei Zang
- Department of Laboratory, Chinese PLA General Hospital, Beijing, China
| | - Xidong Ma
- Department of Respiratory and Critical Care, Affiliated Hospital of Weifang Medical University, Shandong, China
| | - Rui Guo
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chong Qin
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yao Meng
- Department of Chest Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Heji Ma
- Department of Radiology, Jinzhou Medical University, Jinzhou, China
| | - Jun Han
- Department of Radiology, Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haijiao Wang
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Zhiqiang Xue
- Department of Chest Surgery, Chinese PLA General Hospital, Beijing, China
| | - Dahai Zhao
- Department of Respiratory and Critical Care, Second Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Dongliang Lin
- Department of Pathology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lei Pan
- Department of Respiratory and Critical Care, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
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