Ontology highlight
ABSTRACT: Background
Lung cancer is the leading cause of cancer-related mortality. Understanding patient attributes that enhance survival and predict recurrence is necessary to individualize treatment options.Methods
Patients (N = 162) were dichotomized into favorable (n = 101) and unfavorable (n = 61) groups based on survival characteristics. Ku86 and poly(ADP-ribose) polymerase (PARP) expression measures were incorporated into the analyses. LR, Kaplan-Meier analysis, and Cox regression were used to investigate intervariable relationships and survival. Odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess associations.Results
Sex (OR, 0.32; CI-0.14, 0.76), squamous cell carcinoma (SCC) (OR, 0.41; CI-0.17, 0.98), and recurrence (OR,
SUBMITTER: Behera M
PROVIDER: S-EPMC5787388 | biostudies-literature | 2013 Mar
REPOSITORIES: biostudies-literature