Evidence map›Paper›PMID 23359188›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2013

CUG-binding protein 1 (CUGBP1) expression and prognosis of non-small cell lung cancer.

W Jiao, J Zhao, M Wang, Y Wang, Y Luo, Y Zhao, D Tang, Y Shen

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Overexpression of CUGBP1 is associated with the progression of non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

W JiaoDepartment of Thoracic Surgery, The Affiliated Hospital of Medical College, Qingdao University, 16 Jiangsu Road, Qingdao, 266003, People's Republic of China.
J Zhao
M Wang
Y Wang
Y Luo
Y Zhao
D Tang
Y Shen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsNon-small cell lung cancer (NSCLC) is the leading cause of cancer mortality worldwide. As CUGBP1 may also play a great role in tumor genesis and deterioration, the purpose of this study was to detect the expression of CUGBP1 mRNA and CUGBP1 and assess the prognostic significance of CUGBP1 in NSCLC.

methodsExpression of CUGBP1 mRNA and CUGBP was detected by Semi-quantitative PCR and Immunohistochemistry, respectively, from 57 NSCLC patients. The percentage of CUGBP1 mRNA and CUGBP1 expression was correlated with clinical characteristics using χ (2) test. The prognostic significance was assessed by univariate and multivariate analyses in the Cox hazard model.

resultsThe expression of CUGBP1 mRNA and CUGBP1 was over-expressed in cancer group and was correlated with TNM stage and Differentiation. By both univariate and multivariate survival analyses, CUGBP1 expression (P = 0.0074, HR = 3.701, 95 % CI 1.420-9.648), TNM-stage (HR = 4.043, 95 % CI 2.098-7.794) and age (HR = 3.207, 95 % CI 1.544-6.664) were noted to be independent indicators of a shorter postsurgical survival.

conclusionsThe expression of CUGBP1 independently predicted a shorter postsurgical survival in NSCLC.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCELF1 ProteinCell DifferentiationFemaleFollow-Up StudiesHumansImmunoenzyme TechniquesLung NeoplasmsMaleMiddle AgedBiomarkers, TumorCELF1 ProteinCELF1 protein, humanRNA-Binding ProteinsRNA, Messenger

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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.