Evidence map›Paper›PMID 25087095›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Genome-wide screening and co-expression network analysis identify recurrence-specific biomarkers of esophageal squamous cell carcinoma.

Zong-wu Lin, Jie Gu, Rong-hua Liu, Xiao-ming Liu, Feng-kai Xu, Guang-yin Zhao, Chun-lai Lu, Di Ge

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. 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

8 authors.

Zong-wu LinDepartment of Thoracic Surgery, The Affiliated Zhongshan Hospital of Fudan University, Shanghai, 200032, People's Republic of China.
Jie Gu
Rong-hua Liu
Xiao-ming Liu
Feng-kai Xu
Guang-yin Zhao
Chun-lai Lu
Di Ge

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor recurrence and metastasis after surgery are the leading causes of death in patients with esophageal squamous cell carcinoma (ESCC). Next-generation sequencing techniques have improved our understanding of the genetic alterations underlying tumor initiation and progression. To explore recurrence-specific transcriptional profiles, functional properties, and gene co-expression networks in ESCC, samples from recurrence (n = 4) and nonrecurrence (n = 4) groups were analyzed by RNA sequencing. Patients included in the nonrecurrence group had five or more years of survival without any evidence of recurrence or metastasis, while those included in the recurrence group exhibited early recurrence and metastasis and died within 2 years. We identified 533 significantly differentially expressed protein-coding and noncoding genes. Functional enrichment analysis indicated that ESCC recurrence was related to dysregulated cell-cell adherence, microenvironment homeostasis, information processing, and the immune response. Co-expression networks demonstrated differences in the patterns of gene expression and co-expression between the recurrence and nonrecurrence groups. This study provided important insights into ESCC progression and the differentially expressed genes that may represent potential targets for ESCC diagnosis and therapy.

Indexed as

Gene Regulatory NetworksGenome, HumanBiomarkers, TumorCarcinoma, Squamous CellCohort StudiesDisease ProgressionEsophageal NeoplasmsFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingBiomarkers, TumorRNA, Messenger

Identifiers

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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.