A novel LASSO‐derived prognostic model predicting survival for non‐small cell lung cancer patients with M1a diseases. (6th February 2022)

• Record Type: Journal Article
• Authors: Chen, Hongchao; Huang, Chen; Ge, Huiqing; Chen, Qianshun; Chen, Jing; Li, Yuqiang; Chen, Haiyong; Luo, Shiyin; Zhao, Lilan; Xu, Xunyu
• Is Part Of: Cancer medicine. Volume 11:Number 6(2022)
• Page Start: 1561
• Page End: 1572
• Publication Date: 2022-02-06
• Subjects: nomogram -- non‐small cell lung cancer -- prognostic -- SEER; 616.994005
• DOI: 10.1002/cam4.4560
• Languages: English
• ISSNs: 2045-7634

Abstract

Abstract: Introduction: The current American Joint Committee on Cancer (AJCC) M1a staging of non‐small cell lung cancer (NSCLC) encompasses a wide disease spectrum, showing diverse prognosis. Methods: Patients who diagnosed in an earlier period formed the training cohort, and those who diagnosed thereafter formed the validation cohort. Kaplan–Meier analysis was performed for the training cohort by dividing the M1a stage into three subgroups: (I) malignant pleural effusion (MPE) or malignant pericardial effusion (MPCE); (II) separate tumor nodules in contralateral lung (STCL); and (III) pleural tumor nodules on the ipsilateral lung (PTIL). Gender, age, histologic, N stage, grade, surgery for primary site, lymphadenectomy, M1a groups, and chemotherapy were selected as independent prognostic factors using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis. And a nomogram was constructed using Cox hazard regression analysis. Accuracy and clinical practicability were separately tested by Harrell's concordance index, the receiver operating characteristic (ROC) curve, calibration plots, residual plot, the integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). Results: The concordance index (0.661 for the training cohort and 0.688 for the validation cohort) and the area under the ROC curve (training cohort: 0.709 for 1‐year and 0.727 for 2‐year OS prediction; validation cohort: 0.737 for 1‐year and 0.734 for 2‐year OS prediction) indicated satisfactory discriminative ability of the nomogram. Calibration curve and DCA presented great prognostic accuracy, and clinical applicability. Its prognostic accuracy preceded the AJCC staging with evaluated NRI (1‐year: 0.327; 2‐year: 0.302) and IDI (1‐year: 0.138; 2‐year: 0.130). Conclusion: Our study established a nomogram for the prediction of 1‐ and 2‐year OS in patients with NSCLC diagnosed with stage M1a, facilitating healthcare workers to accurately evaluate the individual survival of M1a NSCLC patients. The accuracy and clinical applicability of this nomogram were validated. Abstract : The newly defined M1a subgroups showed diverse prognostic performance. MPE and MPCE were significant factors for poorer OS. The prognostic model could effectively predict 1‐ and 2‐year OS.