Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival

Development of a ten-signature classifier using a support vector machine integrated approach to subdivide the M1 stage into M1a and M1b stages of nasopharyngeal carcinoma with synchronous metastases to better predict patients' survival

The aim of this study was to develop a prognostic classifier and subdivided the M1 stage for nasopharyngeal carcinoma patients with synchronous metastases (mNPC). A retrospective cohort of 347 mNPC patients was recruited between January 2000 and December 2010. Thirty hematological markers and 11 cli...

Full description

Bibliographic Details
Main Authors: Jiang, Rou, You, Rui, Pei, Xiao-Qing, Zou, Xiong, Zhang, Meng-Xia, Wang, Tong-Min, Sun, Rui, Luo, Dong-Hua, Huang, Pei-Yu, Chen, Qiu-Yan, Hua, Yi-Jun, Tang, Lin-Quan, Guo, Ling, Mo, Hao-Yuan, Qian, Chao-Nan, Mai, Hai-Qiang, Hong, Ming-Huang, Cai, Hong-Min, Chen, Ming-Yuan
Format: Online
Language:English
Published: Impact Journals LLC 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823134/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823134/

Similar Items