Evidence map›Paper›PMID 24551190›Full record

ArticlePloS one2014

Genome-wide gene expression profile analyses identify CTTN as a potential prognostic marker in esophageal cancer.

Pei Lu, Junjing Qiao, Wei He, Jin Wang, Yongxu Jia, Yan Sun, Senwei Tang, Li Fu, Yanru Qin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Prediction of lymph node metastasis in early esophageal cancer.World journal of gastrointestinal surgery · 2023
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  16. RNA editing ofProceedings of the National Academy of Sciences of the United States of America · 2017
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  18. Identification of a RNA-Seq Based 8-Long Non-Coding RNA Signature Predicting Survival in Esophageal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2016
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  19. Article
  20. Amplification and overexpression ofInternational journal of medical sciences · 2016
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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

9 authors at 2 institutions in 1 country.

Pei LuDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Junjing QiaoDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Wei HeDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Jin WangDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Yongxu JiaDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Yan SunDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Senwei TangDepartment of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China.
Li FuDepartment of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong, China.
Yanru QinDepartment of Clinical Oncology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimEsophageal squamous cell carcinoma (ESCC) is one of the most common fatal malignances of the digestive tract. Its prognosis is poor mainly due to the lack of reliable markers for early detection and prognostic prediction. Here we aim to identify the molecules involved in ESCC carcinogenesis and those as potential markers for prognosis and as new molecular therapeutic targets.

methodsWe performed genome-wide gene expression profile analyses of 10 primary ESCCs and their adjacent normal tissues by cDNA microarrays representing 47,000 transcripts and variants. Candidate genes were then validated by semi quantitative reverse transcription-PCR (RT-PCR), tissue microarrays (TMAs) and immunohistochemistry (IHC) staining.

resultsUsing an arbitrary cutoff line of signal log ratio of ≥1.5 or ≤-1.5, we observed 549 up-regulated genes and 766 down-regulated genes in ESCCs compared with normal esophageal tissues. The functions of 302 differentially expressed genes were associated with cell metabolism, cell adhesion and immune response. Several candidate deregulated genes including four overexpressed (CTTN, DMRT2, MCM10 and SCYA26) and two underexpressed (HMGCS2 and SORBS2) were subsequently verified, which can be served as biomarkers for ESCC. Moreover, overexpression of cortactin (CTTN) was observed in 126/198 (63.6%) of ESCC cases and was significantly associated with lymph node metastasis (P = 0.000), pathologic stage (P = 0.000) and poor survival (P<0.001) of ESCC patients. Furthermore, a significant correlation between CTTN overexpression and shorter disease-specific survival rate was found in different subgroups of ESCC patient stratified by the pathologic stage (P<0.05).

conclusionOur data provide valuable information for establishing molecules as candidates for prognostic and/or as therapeutic targets.

Indexed as

Gene Expression ProfilingAgedBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorCortactinEpitheliumEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaEsophagusFemaleGene Expression Regulation, NeoplasticGenome, HumanHumansKaplan-Meier EstimateMaleBiomarkers, TumorCortactinCTTN protein, human

Identifiers

PMID24551190
PMCPMC3925182
OpenAlexW2008021130

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Registered trials

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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.