Evidence map›Paper›PMID 26276037›Full record

ArticleFrontiers of medicine2015

TCGA whole-transcriptome sequencing data reveals significantly dysregulated genes and signaling pathways in hepatocellular carcinoma.

Daniel Wai-Hung Ho, Alan Ka-Lun Kai, Irene Oi-Lin Ng

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Article in Frontiers of medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

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  12. The role of theAnnals of translational medicine · 2020
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  13. Integrative module analysis of HCC gene expression landscapes.Experimental and therapeutic medicine · 2020
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  17. SUCO as a Promising Diagnostic Biomarker of Hepatocellular Carcinoma: Integrated Analysis and Experimental Validation.Medical science monitor : international medical journal of experimental and clinical research · 2019
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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

3 authors.

Daniel Wai-Hung HoDepartment of Pathology and State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong SAR, China.
Alan Ka-Lun Kai
Irene Oi-Lin Ng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study systematically evaluates the TCGA whole-transcriptome sequencing data of hepatocellular carcinoma (HCC) by comparing the global gene expression profiles between tumors and their corresponding nontumorous liver tissue. Based on the differential gene expression analysis, we identified a number of novel dysregulated genes, in addition to those previously reported. Top-listing upregulated (CENPF and FOXM1) and downregulated (CLEC4G, CRHBP, and CLEC1B) genes were successfully validated using qPCR on our cohort of 65 pairs of human HCCs. Further examination for the mechanistic overview by subjecting significantly upregulated and downregulated genes to gene set enrichment analysis showed that different cellular pathways were involved. This study provides useful information on the transcriptomic landscape and molecular mechanism of hepatocarcinogenesis for development of new biomarkers and further in-depth characterization.

Indexed as

CarcinogenesisCarcinoma, HepatocellularDatabases, FactualDown-RegulationGene Expression Regulation, NeoplasticHumansLiverLiver NeoplasmsSignal TransductionTranscriptomeUp-Regulation

Identifiers

What OpenQuestion holds

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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.