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Li J, Lin X, Li X, Zhang W, Sun D. Somatic mutations combined with clinical features can predict the postoperative prognosis of stage IIIA lung adenocarcinoma. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:187. [PMID: 35280419 PMCID: PMC8908182 DOI: 10.21037/atm-22-130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 01/27/2022] [Indexed: 11/29/2022]
Abstract
Background Prognostic factors for stage IIIA lung adenocarcinoma (LUAD) are unclear. The current main treatment for stage IIIA LUAD is still controversial. Some Clinicians advocate synchronous chemoradiotherapy as the main treatment for stage IIIA LUAD. In contrast, some clinicians argue that there are still certain patients with stage IIIA LUAD who have a better postoperative prognosis. This study aimed to analyze preoperative factors as well as the association between somatic mutations and prognosis in stage IIIA LUAD [including overall survival (OS) time and the risk of postoperative recurrence]. Methods This study retrospectively reviewed the data of patients with stage IIIA LUAD who underwent radical resection of lung cancer in the thoracic surgery department of Tianjin Chest Hospital from January 01, 2011 to September 30, 2016. All patients involved in the study provided written informed consent. The associations between OS and DFS and the clinical characteristics as well as somatic mutations of patients were analyzed separately. The Kaplan-Meier method was used for univariate analysis, and survival curves were drawn. Multivariate analysis was performed by the Cox regression model. Results For univariate analysis, the prognostic factors of OS were the level of preoperative CYFRA21-1, the number of metastatic lymph node stations (NMLS), maximum tumor diameter, EGFR (epidermal growth factor receptor) classical base mutations, and the number of copies of POLE (polymerase epsilon) mutation (NCPM). Preoperative total protein level, preoperative CYFRA21-1 level, the number of metastatic lymph nodes (NMLN), maximum tumor diameter, the number of mutated genes (NMG) in tumor samples, TP53 mutations, and the number of copies of POLE mutation (NCPM) were associated with disease-free survival (DFS). The multivariate analysis showed that the preoperative CYFRA21-1 level, the number of metastatic lymph node stations (NMLS), and EGFR typical base mutations were independent prognostic factors of OS. The number of mutated genes (NMG), EGFR classical base mutations, preoperative NSE level, maximum tumor diameter, and the number of metastatic lymph node stations (NMLS) were independent prognostic factors for DFS. Conclusions The preoperative level of tumor markers, the number of metastatic lymph node stations, and EGFR typical base mutations are important factors for the prognosis of patients with resectable stage IIIA LUAD.
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Affiliation(s)
- Jiuzhen Li
- Graduate School, Tianjin Medical University, Tianjin, China.,Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin, China
| | | | - Xin Li
- Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin, China
| | - Weiran Zhang
- Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin, China
| | - Daqiang Sun
- Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin, China
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He Q, Xin P, Zhang M, Jiang S, Zhang J, Zhong S, Liu Y, Guo M, Chen X, Xia X, Pan Z, Guo C, Cai X, Liang W, He J. The impact of epidermal growth factor receptor mutations on the prognosis of resected non-small cell lung cancer: a meta-analysis of literatures. Transl Lung Cancer Res 2019; 8:124-134. [PMID: 31106123 PMCID: PMC6504652 DOI: 10.21037/tlcr.2019.03.14] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 03/20/2019] [Indexed: 11/06/2022]
Abstract
BACKGROUND Epidermal growth factor receptor (EGFR) mutation represents a good response to EGFR-tyrosine kinase inhibitor and an advantageous prognostic factor in advanced-stage non-small cell lung cancer (NSCLC). However, the predictive value of EGFR mutation for prognosis in NSCLC patients after complete surgery, which more reflective of natural process, remains controversial. We sought to examine the predictive value of EGFR mutation in NSCLC. Several studies with small sample sizes have been reported but small studies bring bias especially in a postoperative setting. Therefore, we sought to pool all current evidence to show the true effects. METHODS Electronic databases were used to search the relevant articles. Disease-free survival (DFS), which will be less effected by subsequent treatments after recurrence, was the primary endpoint. The DFS between EGFR mutated and wild-type patients were compared focus on stage I patients who are rarely received adjuvant therapy. Besides, the DFS of patients with 19 exon deletion (19del) and 21 exon L858R mutation (L858R) were compared. A random effects model was used. RESULTS A total of 19 relevant studies which involved 4,872 cases were enrolled and 2,086 patients were EGFR-mutated. The majority of studies used PCR-based methods to detect EGFR mutations. Through meta-analysis, we observed the DFS of EGFR-mutated patients were similar to wild type patients in overall population (HR 0.93, 95% CI: 0.74 to 1.17). Similar results were observed in stage I subgroup (HR 0.82, 95% CI: 0.50 to 1.33). DFS of 19 del patients were potentially inferior to L858R patients but the difference was not significant (HR 1.38, 95% CI: 0.76 to 2.52). CONCLUSIONS There was no significant difference in postoperative DFS between EGFR-mutant patients and wild-type with resected NSCLC. In addition, there is still insufficient evidence to support different postoperative treatment strategies (especially for stage I) for both mutated and wild-type patients. However, 19 del may be a negative factor, which may require more strict management. Thus, we strongly encourage reporting specific prognostic impacts of different mutation types.
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Affiliation(s)
- Qihua He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Peiling Xin
- Department of Radiation Oncology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - Mingzhe Zhang
- Department of Cardiology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou 362000, China
| | - Si Jiang
- Department of Ultrasound, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
| | - Jianrong Zhang
- George Warren Brown School, Washington University in St. Louis, St. Louis, USA
| | - Shengyi Zhong
- Department of Cardiothoracic Surgery, Xianning Central Hospital, Xianning 437000, China
| | - Yang Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Minzhang Guo
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Xuewei Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Xiaojun Xia
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Zhenkui Pan
- Department of Oncology, Qingdao Municipal Hospital, Qingdao 266000, China
| | - Chenye Guo
- Department of Oncology, Qingdao Municipal Hospital, Qingdao 266000, China
| | - Xiuyu Cai
- Department of General Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China
| | - Wenhua Liang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
| | - Jianxing He
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
- Guangzhou Institute of Respiratory Disease & China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China
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Zhang Z, Wang T, Zhang J, Cai X, Pan C, Long Y, Chen J, Zhou C, Yin X. Prognostic value of epidermal growth factor receptor mutations in resected non-small cell lung cancer: a systematic review with meta-analysis. PLoS One 2014; 9:e106053. [PMID: 25162713 PMCID: PMC4146589 DOI: 10.1371/journal.pone.0106053] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2014] [Accepted: 07/27/2014] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The prognostic value of epidermal growth factor receptor (EGFR) mutations in resected non-small cell lung cancer (NSCLC) remains controversial. We performed a systematic review with meta-analysis to assess its role. METHODS Studies were identified via an electronic search on PubMed, Embase and Cochrane Library databases. Pooled hazard ratio (HR) for disease-free survival (DFS) and overall survival (OS) were calculated for meta-analysis. RESULTS There were 16 evaluated studies (n = 3337) in the meta-analysis. The combined HR evaluating EGFR mutations on disease free survival was 0.96 (95% CI [0.79-1.16] P = 0.65). The combined HR evaluating EGFR mutations on overall survival was 0.86 (95% CI [0.72-1.04] P = 0.12). The subgroup analysis based on univariate and multivariate analyses in DFS and OS showed no statistically significant difference. There was also no statistically significant difference in DFS and OS of stage I NSCLC patients. CONCLUSION The systematic review with meta-analysis showed that EGFR mutations were not a prognostic factor in patients with surgically resected non-small cell lung cancer. Well designed prospective study is needed to confirm the result.
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Affiliation(s)
- Zhixuan Zhang
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Ting Wang
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Jun Zhang
- Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Xiaohong Cai
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Changchuan Pan
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Yu Long
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Jing Chen
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Chengya Zhou
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
| | - Xude Yin
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, PR China
- * E-mail:
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