Evidence map›Paper›PMID 31266475›Full record

ArticleBMC cancer2019

Eukaryotic elongation factor-2 kinase expression is an independent prognostic factor in colorectal cancer.

Tung H Ng, Kathy W Y Sham, Chuan M Xie, Simon S M Ng, Ka F To, Joanna H M Tong, Wing Y Z Liu, Lin Zhang, Matthew T V Chan, William K K Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Tung H NgSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Kathy W Y ShamSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Chuan M XieInstitute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Simon S M NgState Key Laboratory of Digestive Diseases, Centre for Gut Microbiota Research, Institute of Digestive Diseases and LKS Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Ka F ToState Key Laboratory of Digestive Diseases, Centre for Gut Microbiota Research, Institute of Digestive Diseases and LKS Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Joanna H M TongDepartment of Anatomical & Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China.
Wing Y Z LiuDepartment of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, China.
Lin ZhangSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Matthew T V ChanDepartment of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, China.
William K K WuState Key Laboratory of Digestive Diseases, Centre for Gut Microbiota Research, Institute of Digestive Diseases and LKS Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China. wukakei@cuhk.edu.hk.
Christopher H K ChengSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China. chkcheng@cuhk.edu.hk.
Chinese University of Hong Kong · CNCity University of Hong Kong, Shenzhen Research Institute · CNArmy Medical University · CN

Funding

The Chinese University of Hong Kong Direct Grant (ref no.: 2014.1.076)
6 · The paper itself

Abstract

backgroundPrognostication of patients with colorectal cancer (CRC) currently relies on tumor-node-metastasis (TNM) staging but clinical outcomes of patients of the same histoclinical stage are heterogeneous. It is therefore imperative to devise novel molecular tests to stratify CRC patients. Our previous work demonstrated that eukaryotic elongation factor-2 kinase (EEF2K) is a tumor suppressor in CRC. Herein, we investigated EEF2K expression in CRC and determined its relationship with clinicopathological parameters.

methodsQuantitative RT-PCR and Westerns blots were used to examine EEF2K expression in primary tumor and the adjacent non-tumor tissues of CRC patients (n = 20). Kaplan-Meier curves and Cox regression analysis were used to assess the association between clinical outcomes of CRC patients and EEF2K protein expression determined by immunohistochemistry on tissue microarray (n = 151).

resultsEEF2K was significantly downregulated at both mRNA and protein levels in tumors of CRC patients. Univariate Cox regression analysis revealed that CRC patients with high tumor grade, advanced TNM staging and low EEF2K expression were associated with worse overall survival. Multivariate analysis further demonstrated that low EEF2K expression was an independent factor for predicting poorer overall survival in CRC patients (p = 0.014; Hazard ratio = 2.951; 95% confidence interval: 1.240-7.024). The 5-year survival rate was 82.8% in the EEF2K-high-expression group versus 63.9% in the EEF2K-low-expression group (p = 0.0118). The association of overall survival with EEF2K expression in CRC patients was verified in The Cancer Genome Atlas (TCGA) cohort.

conclusionsEEF2K is downregulated in CRC and its expression can be employed as a prognostic marker for CRC patients independent of TNM staging.

Indexed as

AgedColonColonic NeoplasmsDown-RegulationElongation Factor 2 KinaseFemaleHumansKaplan-Meier EstimateMaleNeoplasm GradingNeoplasm StagingPrognosisRectal NeoplasmsRectumRegression AnalysisRNA, MessengerEEF2K protein, humanElongation Factor 2 KinaseRNA, MessengerTumor Suppressor ProteinsBiomarkerColon cancerEEF2KSurvivalTNM staging

Identifiers

PMID31266475
PMCPMC6607603
OpenAlexW2954403201

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.