Evidence map›Paper›PMID 27080237›Full record

ArticleScientific reports2016

Stratification of Digestive Cancers with Different Pathological Features and Survival Outcomes by MicroRNA Expression.

Senwei Tang, William K K Wu, Xiangchun Li, Sunny H Wong, Nathalie Wong, Matthew T V Chan, Joseph J Y Sung, Jun Yu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. miRNA profiling of esophageal adenocarcinoma using transcriptome analysis.Cancer biomarkers : section A of Disease markers · 2024
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  10. Review
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  17. MiR-106a-5p promotes 5-FU resistance and the metastasis of colorectal cancer by targeting TGFβR2.International journal of clinical and experimental pathology · 2018
    Article
  18. Article
  19. Article
  20. Molecular subtypes in cancers of the gastrointestinal tract.Nature reviews. Gastroenterology & hepatology · 2017
    Review
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 at 2 institutions in 1 country.

Senwei TangInstitute of Digestive Disease and Department of Medicine &Therapeutics, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
William K K WuInstitute of Digestive Disease and Department of Medicine &Therapeutics, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
Xiangchun LiInstitute of Digestive Disease and Department of Medicine &Therapeutics, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
Sunny H WongInstitute of Digestive Disease and Department of Medicine &Therapeutics, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
Nathalie WongDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong.
Matthew T V ChanDepartment of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong.
Joseph J Y SungInstitute of Digestive Disease and Department of Medicine &Therapeutics, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
Jun YuInstitute of Digestive Disease and Department of Medicine &Therapeutics, State Key Laboratory of Digestive Disease, LKS Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
Chinese University of Hong Kong · CNChinese University of Hong Kong, Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are aberrantly expressed in virtually all cancer types, including digestive cancers. Herein, we aggregated and systematically analyzed miRNA expression profiles of 1765 tumor samples, including esophageal, gastric, liver, pancreatic, colon and rectal cancers, obtained through small RNA sequencing by The Cancer Genome Atlas. We found that digestive cancers of different tissue origins could be differentiated according to their miRNA expression profiles. In particular, esophageal squamous cell carcinoma and esophageal adenocarcinoma exhibited distinct miRNA expression patterns. Thirteen (e.g. miR-135b, miR-182) and sixteen (e.g. miR-139, miR-133a-1, miR-490) miRNAs were commonly upregulated and downregulated in more than four cancer types, respectively. Pertinent to pathological features, low miR-181d expression was associated with microsatellite instability in colon and gastric cancers whereas low miR-106a expression was associated with hepatitis B virus infection in hepatocellular carcinoma. Progression in colon cancer could also be predicted by low let-7f-2 and high miR-106a expression. Molecular subtypes with distinct prognostic outcomes independent of tumor-node-metastasis staging were identified in hepatocellular carcinoma and colon cancer. In total, 4 novel and 6 reported associations between specific miRNAs and patients' survival were identified. Collectively, novel miRNA markers were identified to stratify digestive cancers with different pathological features and survival outcomes.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCluster AnalysisDigestive System NeoplasmsDisease ProgressionGene Expression ProfilingHepatitis BHepatitis B virusHumansMicroRNAsMicrosatellite InstabilityMutationNeoplasm StagingPrognosisSurvival AnalysisBiomarkers, TumorMicroRNAs

Identifiers

PMID27080237
PMCPMC4832245
OpenAlexW2341818461

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.