title: Potential biomarkers involving IKK/RelA signal in early stage non-small cell lung cancer.
abstract: The clinical relevance of nuclear factor kappaB (NF-kappaB) and its regulatory molecules on prognosis of patient with early stages of non-small cell lung cancer (NSCLC), remains unclear. Therefore, we conducted biomarker analyses with survival in patients with stages I and II NSCLC. Tumor samples were collected from 88 patients with early-stage NSCLC (stages I, II). A minimum follow-up period of 5 years was required. RelA, phosphorylated I kappaB (pI kappaB alpha), pIKK alpha/beta were detected by immunostaining. NF-kappaB DNA binding activity was assessed by electrophoretic mobility shift assay. Association of clinical and pathologic variables (e.g. sex, age, pathologic stage) with relevant molecules was determined by Pearson's chi(2) test or Fisher's exact test. Survival analysis based on single expression of RelA, pI kappaB alpha, pIKK alpha/beta as well as composite expressions were evaluated using Cox proportional hazards regression models, and log rank test followed Kaplan-Meier estimates. RelA, pI kappaB alpha, pIKK alpha/beta were observed as increased expression in NSCLC tissues compared with adjacent normal tissues and normal lung tissues. These molecules were associated with tumor-node-metastasis stages, T stages and histological status, respectively. Among the molecules analyzed, RelA and pI kappaB alpha-positive were statistically significant predictors of patient death in the entire patient population adjusted by age, gender and smoking status; furthermore both RelA and pI kappaB alpha-positive was the strongest prognostic indicators of poor prognosis by univariate and multivariate analyses. Borderline positive correlations were observed between RelA and pI kappaB alpha or pIKK alpha/beta expression. In this cohort of early-stage NSCLC patients, molecular markers, especially composite application of multiple biomarkers (both nuclear RelA and cytoplasmic pI kappaB-alpha expression) that independently predict overall survival have been identified.
authors.affiliation: Laboratory of Surgery, Children's Hospital of Chongqing Medical University, 136 Zhongshan Second Rd, Chongqing 400014, China.
authors.forename: Xianqing
authors.initials: X
authors.lastname: Jin
authors.forename: Ziming
authors.initials: Z
authors.lastname: Wang
authors.forename: Lin
authors.initials: L
authors.lastname: Qiu
authors.forename: Dianliang
authors.initials: D
authors.lastname: Zhang
authors.forename: Zhenhua
authors.initials: Z
authors.lastname: Guo
authors.forename: Zongwei
authors.initials: Z
authors.lastname: Gao
authors.forename: Chun
authors.initials: C
authors.lastname: Deng
authors.forename: Fuling
authors.initials: F
authors.lastname: Wang
authors.forename: Shan
authors.initials: S
authors.lastname: Wang
authors.forename: Chunbao
authors.initials: C
authors.lastname: Guo
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D002289:Carcinoma, Non-Small-Cell Lung / Q000175:diagnosis / Q000378:metabolism*; D015331:Cohort Studies; D003593:Cytoplasm / Q000378:metabolism; D024202:Electrophoretic Mobility Shift Assay; D005500:Follow-Up Studies; D006801:Humans; D051550:I-kappa B Kinase / Q000032:analysis*; D020672:I-kappa B Proteins / Q000032:analysis* / Q000378:metabolism; D007150:Immunohistochemistry; D008175:Lung Neoplasms / Q000175:diagnosis / Q000378:metabolism*; D000072000:NF-KappaB Inhibitor alpha; D010766:Phosphorylation; D015398:Signal Transduction; D016019:Survival Analysis; D051996:Transcription Factor RelA / Q000032:analysis*
chemical_list: D014408:Biomarkers, Tumor; D020672:I-kappa B Proteins; C000606204:NFKBIA protein, human; D051996:Transcription Factor RelA; D000072000:NF-KappaB Inhibitor alpha; D051550:I-kappa B Kinase