Open AccessTMEM213 as a novel prognostic and predictive biomarker for patients with lung adenocarcinoma after curative resection: a study based on bioinformatics analysis
Author(s) -
Jiayun Zou,
Zhi Li,
Hao Deng,
Junying Hao,
Rui Ding,
Mingfang Zhao
Publication year - 2019
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2019.08.01
Subject(s) - medicine , oncology , adenocarcinoma , proportional hazards model , lung cancer , survival analysis , multivariate analysis , paclitaxel , bioinformatics , cancer , biology
Lung cancer is the leading cause of cancer-related death worldwide. Few effective biomarkers for lung adenocarcinoma have been adapted for clinical practice to assist in prognosis evaluation and treatment plan implementation. Our study's goal was to find a new biological marker associated with the prognosis of lung adenocarcinoma after curative resection and the benefit of adjuvant chemotherapy (ACT).