Evidence map›Paper›PMID 29789629›Full record

ArticleScientific reports2018

Non-coding RNAs in Various Stages of Liver Disease Leading to Hepatocellular Carcinoma: Differential Expression of miRNAs, piRNAs, lncRNAs, circRNAs, and sno/mt-RNAs.

Srinivas V Koduru, Ashley N Leberfinger, Yuka I Kawasawa, Milind Mahajan, Niraj J Gusani, Arun J Sanyal, Dino J Ravnic

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  15. Epigenetic remodelling in human hepatocellular carcinoma.Journal of experimental & clinical cancer research : CR · 2022
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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

7 authors at 3 institutions in 1 country.

Srinivas V KoduruDivision of Plastic Surgery, Department of Surgery, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA. skoduru@pennstatehealth.psu.edu.ORCID 0000-0001-6827-2908
Ashley N LeberfingerDivision of Plastic Surgery, Department of Surgery, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.ORCID 0000-0002-8688-8789
Yuka I KawasawaDepartment of Pharmacology, Department of Biochemistry & Molecular Biology, and Institute for Personalized Medicine, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
Milind MahajanGenomics Facility, Department of Genetics and Genomics Sciences, Icahn School of Medicine, Mount Sinai, 1425 Madison Ave, New York, NY, 10029, USA.
Niraj J GusaniProgram for Liver, Pancreas, & Foregut Tumors, Department of Surgery, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA.
Arun J SanyalDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, 1201 E Marshall St, Richmond, VA, 23298, USA.
Dino J RavnicDivision of Plastic Surgery, Department of Surgery, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA, 17033, USA. dravnic@pennstatehealth.psu.edu.ORCID 0000-0003-2261-5180
Pennsylvania State University · USIcahn School of Medicine at Mount Sinai · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) was the fifth leading cause of cancer death in men and eighth leading cause of death in women in the United States in 2017. In our study, we sought to identify sncRNAs in various stages of development of HCC. We obtained publicly available small RNA-seq data derived from patients with cirrhosis (n = 14), low-grade dysplastic nodules (LGDN, n = 9), high grade dysplastic nodules (HGDN, n = 6), early hepatocellular carcinoma (eHCC, n = 6), and advanced hepatocellular carcinoma (HCC, n = 20), along with healthy liver tissue samples (n = 9). All samples were analyzed for various types of non-coding RNAs using PartekFlow software. We remapped small RNA-seq to miRBase to obtain differential expressions of miRNAs and found 87 in cirrhosis, 106 in LGDN, 59 in HGDN, 80 in eHCC, and 133 in HCC. Pathway analysis of miRNAs obtained from diseased samples compared to normal samples showed signaling pathways in the microRNA dependent EMT, CD44, and others. Additionally, we analyzed the data sets for piRNAs, lncRNAs, circRNAs, and sno/mt-RNAs. We validated the in silico data using human HCC samples with NanoString miRNA global expression. Our results suggest that publically available data is a valuable resource for sncRNA identification in HCC progression (FDR set to <0.05 for all samples) and that a data mining approach is useful for biomarker development.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesDisease ProgressionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver CirrhosisLiver NeoplasmsMaleMicroarray AnalysisMicroRNAsNeoplasm GradingNeoplasm StagingPrecancerous ConditionsBiomarkers, TumorMicroRNAsRNARNA, CircularRNA, Long NoncodingRNA, Small InterferingRNA, Small Nucleolar

Identifiers

PMID29789629
PMCPMC5964116
OpenAlexW2805990623

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.