Evidence map›Paper›PMID 23175214›Full record

ArticleInternational journal of cancer2013

microRNA and inflammatory gene expression as prognostic marker for overall survival in esophageal squamous cell carcinoma.

Yiqiang Zhao, Aaron J Schetter, Geoffrey B Yang, Giang Nguyen, Ewy A Mathé, Peng Li, Hong Cai, Lei Yu, Fangfang Liu, Dong Hang and 4 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Prognostic Value of MicroRNAs in Esophageal Carcinoma: A Meta-Analysis.Clinical and translational gastroenterology · 2018
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  20. A three-microRNA signature predicts responses to platinum-based doublet chemotherapy in patients with lung adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
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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

14 authors at 6 institutions in 2 countries.

Yiqiang ZhaoLaboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Aaron J Schetter
Geoffrey B Yang
Giang Nguyen
Ewy A Mathé
Peng Li
Hong Cai
Lei Yu
Fangfang Liu
Dong Hang
Haijun Yang
Xin Wei Wang
Yang Ke
Curtis C Harris
National Institutes of Health · USPeking University · CNNational Cancer Institute · USAnyang Tumor Hospital · CNCapital Normal University · CNPeking University Cancer Hospital · CN

Funding

Precision Medicine of CancerZIABC011492 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$23.2M
Strategies for improving early detection, diagnosis and treatment of liver cancerZIABC010313 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2009 to 2025
$18.1M
Molecular Epidemiology of Human Lung CancerZIABC005480 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2009 to 2012
$3.0M
Molecular Epidemiology of Human Lung CancerZ01BC005480 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 1996 to 2008
$2.3M
Intramural NIH HHS Z01 BC005480
6 · The paper itself

Abstract

MicroRNAs (miRNAs) and inflammatory genes have a role in the initiation and development of esophageal squamous cell carcinoma (ESCC). In our study, we examined the potential of using miRNA and inflammatory gene expression patterns as prognostic classifiers for ESCC. Five miRNAs and 25 inflammatory-related genes were measured by quantitative reverse transcriptase PCR in tumor tissues and adjacent noncancerous tissues from 178 Chinese patients with ESCC. The expression levels of miR-21 (p = 0.027), miR-181b (p = 0.002) and miR-146b (p = 0.021) in tumor tissue and miR-21 (p = 0.003) in noncancerous tissue were associated with overall survival of patients. These data were combined to generate a miRNA risk score that was significantly associated with worse prognosis (p = 0.0001), suggesting that these miRNAs may be useful prognostic classifiers for ESCC. To construct an inflammatory gene prognostic classifier, we divided the population into training (n = 124) and test cohorts (n = 54). The expression levels of CRY61, CTGF and IL-18 in tumor tissue and VEGF in adjacent noncancerous tissue were modestly associated with prognosis in the training cohort |Z-score| > 1.5 and were subsequently used to construct a Cox regression-based inflammatory risk score (IRS). IRS was significantly associated with survival in both the training cohort (p = 0.002) and the test cohort (p = 0.005). Furthermore, Cox regression models combining both miRNA risk score and IRS performed significantly better than models with either alone (p < 0.001 likelihood ratio test). Therefore, miRNA and inflammatory gene expression patterns, alone or in combination, have potential as prognostic classifiers for ESCC and may help to guide therapeutic decisions.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overCarcinoma, Squamous CellEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleGene Expression ProfilingHumansInflammationMaleMicroRNAsMiddle AgedNeoplasm StagingPrognosisMicroRNAs

Identifiers

PMID23175214
PMCPMC6503976
OpenAlexW1989216370

What OpenQuestion holds

Textmetadata
LicenceTDM
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.