Unknown

Dataset Information

0

Survival analysis of patients with stage I non-small-cell lung cancer using clinical and DNA repair pathway expression variables.


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, 0.04; CI-0.01, 0.20) confer an unfavorable outcome with area under the receiver operating characteristic curve (Az) = 0.788. Patients with increased tumor grade (OR = 1.84; CI-1.06, 3.19) or increased Ku86 intensity (OR, 2.03; CI-1.08, 3.82) were more likely to be male individuals, and older patients (OR, 1.70; CI-(1.14, 2.52) were more likely to have SCC. Patients older than the median age (HR, 1.86; CI-1.11, 3.12), patients with SCC (HR, 1.78; CI-1.05, 3.01), patients with recurrence (HR, 4.16; CI-2.37, 7.31), and male patients (HR, 2.03; CI-1.20, 3.43) have a higher hazard. None of the DNA repair measures were associated with significant HRs. CONCLUSION:Clinical and pathologic factors that enhance and limit survival for patients with stage I NSCLC were quantified. The DNA repair measures showed little association. These findings are important given that certain clinical and pathologic features are related to better long-term survival outcome than others.

SUBMITTER: Behera M 

PROVIDER: S-EPMC5787388 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Survival analysis of patients with stage I non-small-cell lung cancer using clinical and DNA repair pathway expression variables.

Behera Madhusmita M   Heine John J JJ   Sica Gabriel L GL   Fowler Erin E EE   Tran Ha H   Fu Robert W RW   Gal Anthony A AA   Hermann Robert R   Mayfield William W   Khuri Fadlo R FR   Owonikoko Taofeek K TK   Ramalingam Suresh S SS  

Clinical lung cancer 20120821 2


<h4>Background</h4>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.<h4>Methods</h4>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 w  ...[more]

Similar Datasets

| S-EPMC3760306 | biostudies-literature
| S-EPMC10938103 | biostudies-literature
| S-EPMC6279565 | biostudies-literature
| S-EPMC5182109 | biostudies-literature
| S-EPMC2258444 | biostudies-literature
| S-EPMC2690391 | biostudies-literature
| S-EPMC4054818 | biostudies-literature
| S-EPMC3764058 | biostudies-literature
| S-EPMC3220611 | biostudies-literature
| S-EPMC3581354 | biostudies-literature