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Qi Y, Guo X, Li Z, Ren B, Wang Z. Distinguishing optimal candidates for primary tumor resection in patients with metastatic lung adenocarcinoma: A predictive model based on propensity score matching. Heliyon 2024; 10:e27768. [PMID: 38690000 PMCID: PMC11059407 DOI: 10.1016/j.heliyon.2024.e27768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 05/02/2024] Open
Abstract
Background Primary tumor resection is associated with survival benefits in patients with metastatic lung adenocarcinoma (mLUAD). However, there are no established methods to determine which individuals would benefit from surgery. Therefore, we developed a model to predict the patients who are likely to benefit from surgery in terms of survival. Methods Data on patients with mLUAD were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Depending on whether surgery was performed on the primary tumor, patients were categorized into two groups: cancer-directed surgery (CDS) and no-cancer-directed surgery (No-CDS). Propensity Score Matching (PSM) was utilized to address bias between the CDS and No-CDS groups. The prognostic impact of CDS was assessed using Kaplan-Meier analysis and Cox proportional hazard models. Subsequently, we constructed a nomogram to predict the potential for surgical benefits based on multivariable logistic regression analysis using preoperative factors. Results A total of 89,039 eligible patients were identified, including 6.4% (5705) who underwent surgery. Following PSM, the CDS group demonstrated a significantly longer median overall survival (mOS) compared with the No-CDS group (23 [21-25] vs. 7 [7-8] months; P < 0.001). The nomogram showed robust performance in both the training and validation sets (area under the curve [AUC]: 0.698 and 0.717, respectively), and the calibration curves exhibited high consistency. The nomogram proved clinically valuable according to decision curve analysis (DCA). According to this nomogram, surgical patients were categorized into two groups: no-benefit candidates and benefit candidates groups. Compared with the no-benefit candidate group, the benefit candidate group was associated with longer survival (mOS: 25 vs. 6 months, P < 0.001). Furthermore, no difference in survival was observed between the no-benefit candidates and the no-surgery groups (mOS: 6 vs. 7 months, P = 0.9). Conclusions A practical nomogram was developed to identify optimal CDS candidates among patients with mLUAD.
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Affiliation(s)
- Yuying Qi
- Fourth Hospital of Hebei Medical University, Qiao Dong Qu, Shi Jia Zhuang Shi, He Bei Sheng, 050010, China
| | - Xiaojin Guo
- Fourth Hospital of Hebei Medical University, Qiao Dong Qu, Shi Jia Zhuang Shi, He Bei Sheng, 050010, China
| | - Zijie Li
- Fourth Hospital of Hebei Medical University, Qiao Dong Qu, Shi Jia Zhuang Shi, He Bei Sheng, 050010, China
| | - Bingzhang Ren
- Fourth Hospital of Hebei Medical University, Qiao Dong Qu, Shi Jia Zhuang Shi, He Bei Sheng, 050010, China
| | - Zhiyu Wang
- Fourth Hospital of Hebei Medical University, Qiao Dong Qu, Shi Jia Zhuang Shi, He Bei Sheng, 050010, China
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Jiang M, Fares AF, Shepshelovich D, Yang P, Christiani D, Zhang J, Shiraishi K, Ryan BM, Chen C, Schwartz AG, Tardon A, Shete S, Schabath MB, Teare MD, Le Marchand L, Zhang ZF, Field JK, Brenner H, Diao N, Xie J, Kohno T, Harris CC, Wenzlaff AS, Fernandez-Tardon G, Ye Y, Taylor F, Wilkens LR, Davies M, Liu Y, Barnett MJ, Goodman GE, Morgenstern H, Holleczek B, Thomas S, Brown MC, Hung RJ, Xu W, Liu G. The relationship between body-mass index and overall survival in non-small cell lung cancer by sex, smoking status, and race: A pooled analysis of 20,937 International lung Cancer consortium (ILCCO) patients. Lung Cancer 2021; 152:58-65. [PMID: 33352384 PMCID: PMC8042597 DOI: 10.1016/j.lungcan.2020.11.029] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 11/22/2020] [Accepted: 11/25/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION The relationship between Body-Mass-Index (BMI) and lung cancer prognosis is heterogeneous. We evaluated the impact of sex, smoking and race on the relationship between BMI and overall survival (OS) in non-small-cell-lung-cancer (NSCLC). METHODS Data from 16 individual ILCCO studies were pooled to assess interactions between BMI and the following factors on OS: self-reported race, smoking status and sex, using Cox models (adjusted hazard ratios; aHR) with interaction terms and adjusted penalized smoothing spline plots in stratified analyses. RESULTS Among 20,937 NSCLC patients with BMI values, females = 47 %; never-smokers = 14 %; White-patients = 76 %. BMI showed differential survival according to race whereby compared to normal-BMI patients, being underweight was associated with poor survival among white patients (OS, aHR = 1.66) but not among black patients (aHR = 1.06; pinteraction = 0.02). Comparing overweight/obese to normal weight patients, Black NSCLC patients who were overweight/obese also had relatively better OS (pinteraction = 0.06) when compared to White-patients. BMI was least associated with survival in Asian-patients and never-smokers. The outcomes of female ever-smokers at the extremes of BMI were associated with worse outcomes in both the underweight (pinteraction<0.001) and obese categories (pinteraction = 0.004) relative to the normal-BMI category, when compared to male ever-smokers. CONCLUSION Underweight and obese female ever-smokers were associated with worse outcomes in White-patients. These BMI associations were not observed in Asian-patients and never-smokers. Black-patients had more favorable outcomes in the extremes of BMI when compared to White-patients. Body composition in Black-patients, and NSCLC subtypes more commonly seen in Asian-patients and never-smokers, may account for differences in these BMI-OS relationships.
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Affiliation(s)
- Mei Jiang
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Aline F Fares
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada; Hospital de Base, São José do Rio Preto, São Paulo, Brazil
| | | | | | - David Christiani
- Environmental Health Department, Harvard TH Chan School of Public Health and Harvard Medical School, Boston, MA, USA
| | - Jie Zhang
- Department of Cardiothoracic Surgery, University of Pittsburgh Medical Center, USA; Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Brid M Ryan
- Centre for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology and Department of Otolaryngology: Head and Neck Surgery, University of Washington, Seattle, WA, USA
| | - Ann G Schwartz
- Barbara Ann Karmanos Cancer Institute, Wayne State University Detroit, MI, USA
| | | | - Sanjay Shete
- University of Texas MD Anderson Cancer Center, Texas, USA
| | | | | | | | - Zuo-Feng Zhang
- University of California Los Angeles School of Public Health, CA, USA
| | - John K Field
- The Roy Castle Lung Cancer Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nancy Diao
- Environmental Health Department, Harvard TH Chan School of Public Health and Harvard Medical School, Boston, MA, USA
| | - Juntao Xie
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Curtis C Harris
- Centre for Cancer Research, National Institutes of Health, Bethesda, MD, USA
| | - Angela S Wenzlaff
- Barbara Ann Karmanos Cancer Institute, Wayne State University Detroit, MI, USA
| | | | - Yuanqing Ye
- University of Texas MD Anderson Cancer Center, Texas, USA
| | | | | | - Michael Davies
- The Roy Castle Lung Cancer Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, UK
| | - Yi Liu
- Mayo Clinic, Rochester, MI, USA; PLA Hospital, Beijing, China
| | - Matt J Barnett
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Hal Morgenstern
- Departments of Epidemiology and Environmental Health Sciences, School of Public Health and Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | | | - Sera Thomas
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - M Catherine Brown
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Wei Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Geoffrey Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Departments of Medical Biophysics, Pharmacology and Toxicity, and IMS, University of Toronto, Toronto, ON, Canada.
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Chikaishi Y, Shinohara S, Kuwata T, Takenaka M, Oka S, Hirai A, Yoneda K, Kuroda K, Imanishi N, Ichiki Y, Tanaka F. Complete resection of the primary lesion improves survival of certain patients with stage IV non-small cell lung cancer. J Thorac Dis 2017; 9:5278-5287. [PMID: 29312736 PMCID: PMC5757007 DOI: 10.21037/jtd.2017.11.67] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 11/02/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND The standard treatment for patients with stage IV non-small cell lung cancer (NSCLC) is systemic chemotherapy. However, certain patients, such as those with oligometastasis or M1a disease undergo resection of the primary lesion. METHODS We conducted a retrospective review of the records of 1,471 consecutive patients with NSCLC who underwent resection of the primary lesion for between June 2005 and May 2016. The present study included 38 patients with stage IV NSCLC who underwent complete resection of the primary lesion as first-line treatment. RESULTS The median follow-up duration for the 38 patients (27 men) was 17.7 months (range, 1-82.3 months). The T factors were T1/T2/T3/T4 in 4/16/12/6 patients, respectively. The N factors were N0/N1/N2/N3 in 16/8/12/2 patients, respectively. The M factors were M1a/M1b/M1c in 19/13/6 patients, respectively. Of the 19 M1a patients, 11 were classified as cM0. We introduced the novel classification M-better/M-worse. M-better includes cM0 patients and M1b and M1c patients in whom all lesions have been locally controlled. M-worse includes cM1a patients and M1b and M1c patients in whom lesions cannot be locally controlled. The new M-better/M-worse statuses were 24/14 patients, respectively. The histology of NSCLC was adenocarcinoma/squamous cell carcinoma/others in 30/5/3 patients, respectively. The 5-year overall survival rate was 29%, and the median survival time was 725 days. Squamous cell carcinoma and M-worse were significant factors predicting poor outcomes (P=0.0017, P=0.0007, respectively). CONCLUSIONS Even for stage IV NSCLC patients, resection of the primary lesion may be beneficial, especially for those with M-better status and those not diagnosed with squamous-cell carcinoma (SCC).
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Affiliation(s)
- Yasuhiro Chikaishi
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Shinji Shinohara
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Taiji Kuwata
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Masaru Takenaka
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Soichi Oka
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Ayako Hirai
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Kazue Yoneda
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Kouji Kuroda
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Naoko Imanishi
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Yoshinobu Ichiki
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Fumihiro Tanaka
- Second Department of Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
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