Evidence map›Paper›PMID 24127926›Full record

ArticleClinical and translational science2013

Different cellular localization of NF-κB p65 expression as an indicator of different prognoses of stage I-III gastric cancer patients.

Fang Zhou, Hongjun Wei, Aiping Ding, Wensheng Qiu, Lingxin Feng, Quan Zhou, Jun Liang, Lu Yue

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Article in Clinical and translational science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.1field-weighted citation impact, top 43% 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

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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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. The role of long non-coding RNA HCG18 in cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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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

8 authors at 3 institutions in 1 country.

Fang ZhouDepartment of Oncology, Affiliated Hospital of Medical College, Qingdao University, Qingdao, China.
Hongjun Wei
Aiping Ding
Wensheng Qiu
Lingxin Feng
Quan Zhou
Jun Liang
Lu Yue
Affiliated Hospital of Qingdao University · CNQingdao University · CNQingdao Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNuclear factor-κB p65 (NF-κB p65) may play a significant role as a biomarker in tumor progression and metastasis. However, the correlation between cellular localization of NF-κB p65 expression and the prognosis of gastric cancer (GC) patients has not been studied. The present study was designed to investigate the location of NF-κB p65 expression in GC, and evaluate its correlation with clinicopathological parameters of GC patients.

methodsNF-κB p65 expressions in GC tissue and corresponding nonmalignant tissue from gastrectomy of 115 stage I-III GC patients were detected by immunohistochemistry. In addition, correlations between the staining results and the clinicopathologic features and survival of the GC patients were analyzed.

resultsThe percentage of NF-κB p65 expression in GC tissue and the corresponding nonmalignant tissue was 73.9% and 46.80%, respectively. No significant correlation was found between NF-κB p65 expression and the clinicopathologic parameters. Cox univariate analysis indicated that both nuclear staining and cytoplasmic staining of NF-κB p65 expression correlated with the prognosis of GC patients (log-rank, p = 0.0182; p = 0.0144, respectively).

conclusionHigh nuclear expression of NF-κB p65 is an independent prognostic marker predicting a better survival, while high cytoplasmic staining indicates a worse prognosis of GC patients.

Indexed as

AdultAgedAged, 80 and overFemaleHumansImmunohistochemistryMaleMiddle AgedMultivariate AnalysisNeoplasm StagingPrognosisProtein TransportStomach NeoplasmsSurvival AnalysisTranscription Factor RelATranscription Factor RelAcellular localizationgastric cancerNF-κB p65prognosis

Identifiers

PMID24127926
PMCPMC5350890
OpenAlexW1693319032

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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.