Open AccessIdentification of KIF4A and its effect on the progression of lung adenocarcinoma based on the bioinformatics analysis
Author(s) -
Yexun Song,
Wenfang Tang,
Hui Li
Publication year - 2021
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20203973
Subject(s) - adenocarcinoma , lung cancer , biology , gene , cancer research , survival analysis , gene expression profiling , computational biology , gene expression , cancer , bioinformatics , oncology , medicine , genetics
Lung adenocarcinoma (LUAD) is the most frequent histological type of lung cancer, and its incidence has displayed an upward trend in recent years. Nevertheless, little is known regarding effective biomarkers for LUAD.
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