Establishing and Validating a novel Prognostic Model in the Initial Diagnosis of Non-small Cell Lung Cancer with Bone Metastases

被引:0
|
作者
Li, Bin [1 ]
Su, Deying [2 ]
Wen, Xiaoyan [3 ]
Jia, Miaomiao [4 ,5 ]
Xue, Ning [4 ,5 ]
Chen, Shulin [2 ,6 ]
Lou, Chaoju [1 ]
机构
[1] Zhengzhou Univ, Affiliated Hosp 1, Dept Orthoped, 1 Jianshe East Rd, Zhengzhou 450052, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Res Ctr Translat Med, Guangzhou 510006, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Stomatol Hosp, Guanghua Sch Stomatol, Dept Cent Sterile Supply,Guangdong Prov Key Lab St, Guangzhou 510055, Peoples R China
[4] Zhengzhou Univ, Affiliated Canc Hosp, Dept Clin Lab, Zhengzhou 450008, Peoples R China
[5] Henan Canc Hosp, Zhengzhou Key Lab Digest Syst Tumor Marker Diag, Zhengzhou 450008, Peoples R China
[6] Sun Yat Sen Univ, Canc Ctr, Guangdong Prov Clin Res Ctr Canc, State Key Lab Oncol South China, Guangzhou 510060, Peoples R China
来源
JOURNAL OF CANCER | 2024年 / 15卷 / 14期
关键词
NSCLC; bone metastases; LASSO -Cox regression; prognostic model; LEUKOCYTE COUNT; COMORBIDITY; SURVIVAL; ALBUMIN; DISEASE;
D O I
10.7150/jca.95784
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The aim of this research is to establish and validate a prognostic model for predicting prognosis in non-small cell lung cancer (NSCLC) patients with bone metastases. Methods: Overall, 176 NSCLC patients with bone metastases were retrospectively evaluated in the research. We employed the LASSO-Cox regression method to select the candidate indicators for predicting the prognosis among NSCLC patients complicated with bone metastases. We employed the receiver operating characteristic curve (ROC) and the concordance index (C-index) to assess the discriminative ability. Results: Based on the LASSO-Cox regression analysis, 9 candidate indicators were screened to build the prognostic model. The prognostic model had a higher C-index in the training cohort (0.738, 95% CI: 0.680-0.796) and the validation cohort (0.660, 95% CI: 0.566-0.754) than the advanced lung cancer inflammation index (ALI). Furthermore, the AUCs of the 1-, 2-, and 3-year OS predictions for the prognostic model were higher than ALI in both cohorts. Kaplan-Meier curves and the estimated restricted mean survival time (RMST) values showed that the patients in the low-risk subgroup had the lower probabilities of cancer-specific mortality than high-risk subgroup. Conclusions: The prognostic model could provide clinicians with precise information and facilitate individualized treatment for patients with bone metastases.
引用
收藏
页码:4612 / 4622
页数:11
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