Evidence map›Paper›PMID 18215193›Full record

ArticleCancer science2008

Potential biomarkers involving IKK/RelA signal in early stage non-small cell lung cancer.

Xianqing Jin, Ziming Wang, Lin Qiu, Dianliang Zhang, Zhenhua Guo, Zongwei Gao, Chun Deng, Fuling Wang, Shan Wang, Chunbao Guo

Open access · greenAbstract read
In one paragraph

Article in Cancer science, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Xianqing JinLaboratory of Surgery, Children's Hospital of Chongqing Medical University, 136 Zhongshan Second Rd, Chongqing 400014, China.
Ziming Wang
Lin Qiu
Dianliang Zhang
Zhenhua Guo
Zongwei Gao
Chun Deng
Fuling Wang
Shan Wang
Chunbao Guo
Chongqing Medical University · CNQingdao University · CNArmy Medical University · CNChildren's Hospital of Chongqing Medical University · CNLinyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungCohort StudiesCytoplasmElectrophoretic Mobility Shift AssayFollow-Up StudiesHumansI-kappa B KinaseI-kappa B ProteinsImmunohistochemistryLung NeoplasmsNF-KappaB Inhibitor alphaPhosphorylationSignal TransductionSurvival AnalysisTranscription Factor RelABiomarkers, TumorI-kappa B KinaseI-kappa B ProteinsNF-KappaB Inhibitor alphaNFKBIA protein, humanTranscription Factor RelA

Identifiers

PMID18215193
PMCPMC11159888
OpenAlexW2010236189

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.