Literature DB >> 30603904

Impact of the homogeneous and heterogeneous risk factors on the incidence and survival outcome of bone metastasis in NSCLC patients.

Qian Song1,2, Jun Shang3, Chufan Zhang1,2, Lanlin Zhang1,2, Xianghua Wu4,5.   

Abstract

PURPOSE: Bone metastases (BM) is reported as the most frequent distant metastasis in non-small cell lung cancer (NSCLC), but the risk factors for the incidence and prognosis of BM patients in NSCLC have not been extensively elucidated. This study aimed to find risk factors to predict BM patients' morbidity and survival outcome in NSCLC.
METHODS: 63,505 patients of NSCLC in the Surveillance, Epidemiology and End Results database diagnosed from 2010 to 2015 were used to analyze risk factors for developing BM by conducting multivariable logistic regression. Of these patients, 6152 and 5664 BM patients diagnosed between 2010 and 2014 were selected to investigate predictive factors for BM overall survival (OS) and cancer-specific survival (CSS) using the multivariable Cox proportional hazards regression.
RESULTS: There were overall 7486 (11.79%) BM patients in NSCLC. The homogeneous risk factors for BM patients' morbidity and survival outcome included male, higher T stage, lymph node involvement, poor differentiation grade, brain metastases, and liver metastases. Married status, adenocarcinoma type and lung metastases were positively correlated with BM incidence, while older age, white race, unmarried status, and SCC and other NSCLC types could predict poor OS and CSS of BM in NSCLC.
CONCLUSIONS: The homogeneous and heterogeneous risk factors for morbidity and survival outcome of BM patients could help physicians in more precise and individualized screening and therapies for BM patients in NSCLC.

Entities:  

Keywords:  Bone metastasis; Morbidity; Non-small cell lung cancer; Prognosis; Risk factors

Mesh:

Year:  2019        PMID: 30603904     DOI: 10.1007/s00432-018-02826-7

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  10 in total

1.  Machine Learning for the Prediction of Synchronous Organ-Specific Metastasis in Patients With Lung Cancer.

Authors:  Huan Gao; Zhi-Yi He; Xing-Li Du; Zheng-Gang Wang; Li Xiang
Journal:  Front Oncol       Date:  2022-05-13       Impact factor: 5.738

2.  Predictive factors, preventive implications, and personalized surgical strategies for bone metastasis from lung cancer: population-based approach with a comprehensive cancer center-based study.

Authors:  Xianglin Hu; Wending Huang; Zhengwang Sun; Hui Ye; Kwong Man; Qifeng Wang; Yangbai Sun; Wangjun Yan
Journal:  EPMA J       Date:  2022-01-10       Impact factor: 6.543

3.  An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm.

Authors:  Zhangheng Huang; Chuan Hu; Changxing Chi; Zhe Jiang; Yuexin Tong; Chengliang Zhao
Journal:  Biomed Res Int       Date:  2020-06-27       Impact factor: 3.411

4.  Single nucleotide polymorphisms within the Wnt pathway predict the risk of bone metastasis in patients with non-small cell lung cancer.

Authors:  Yiquan Xu; Hongru Li; Lihong Weng; Yanqin Qiu; Junqiong Zheng; Huaqiang He; Dongmei Zheng; Junfan Pan; Fan Wu; Yusheng Chen
Journal:  Aging (Albany NY)       Date:  2020-05-26       Impact factor: 5.682

5.  Relationship between tumor size and metastatic site in patients with stage IV non-small cell lung cancer: A large SEER-based study.

Authors:  Qinge Shan; Yanling Fan; Jun Guo; Xiao Han; Haiyong Wang; Zhehai Wang
Journal:  PeerJ       Date:  2019-10-10       Impact factor: 2.984

6.  Clinical features and prognostic factors in patients with bone metastases from non-small cell lung cancer.

Authors:  Xiao-Tian Wu; Jian-Wei Zhou; Long-Ci Pan; Ting Ge
Journal:  J Int Med Res       Date:  2020-05       Impact factor: 1.671

7.  Construction and Validation of Two Novel Nomograms for Predicting the Overall Survival and Cancer-Specific Survival of NSCLC Patients with Bone Metastasis.

Authors:  Qiu Dong; Jialin Deng; Tsz Ngai Mok; Junyuan Chen; Zhengang Zha
Journal:  Int J Gen Med       Date:  2021-12-02

8.  Identification of N7-methylguanosine related signature for prognosis and immunotherapy efficacy prediction in lung adenocarcinoma.

Authors:  Zhouhua Li; Wenjun Wang; Juan Wu; Xiaoqun Ye
Journal:  Front Med (Lausanne)       Date:  2022-08-24

9.  Development and validation of a prognostic nomogram for bone metastasis from lung cancer: A large population-based study.

Authors:  Weihua Li; Zixiang Guo; Zehui Zou; Momen Alswadeh; Heng Wang; Xuqiang Liu; Xiaofeng Li
Journal:  Front Oncol       Date:  2022-09-30       Impact factor: 5.738

10.  Prediction of overall survival of non-small cell lung cancer with bone metastasis: an analysis of the Surveillance, Epidemiology and End Results (SEER) database.

Authors:  Si Shi; Hongwei Wang; Xiaohui Liu; Jinling Xiao
Journal:  Transl Cancer Res       Date:  2021-12       Impact factor: 1.241

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.