Evidence map›Paper›PMID 29109094›Full record

ReviewCancer genomics & proteomics

Ryo Ashida, Yukiyasu Okamura, Keiichi Ohshima, Yuko Kakuda, Katsuhiko Uesaka, Teiichi Sugiura, Takaaki Ito, Yusuke Yamamoto, Takashi Sugino, Kenichi Urakami and 2 more

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Frontiers in pharmacology · 2024
    Article
  7. Article
  8. Identification of Hub Genes and Immune Infiltration in Non-alcoholic Fatty Liver Disease -Related Hepatocellular Carcinoma by Bioinformatics Analysis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
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  15. Article
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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

12 authors at 2 institutions in 1 country.

Ryo AshidaDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
Yukiyasu OkamuraDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Shizuoka, Japan yu.okamura@scchr.jp.
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Yuko KakudaDivision of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
Katsuhiko UesakaDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
Teiichi SugiuraDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
Takaaki ItoDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
Yusuke YamamotoDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
Takashi SuginoDivision of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Masatoshi KusuharaRegional Resources Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Ken YamaguchiShizuoka Cancer Center Hospital and Research Institute, Shizuoka, Japan.
Shizuoka Cancer Center · JPKeio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimProject HOPE (High-tech Omics-based Patient Evaluation) began in 2014 using integrated gene expression profiling (GEP) of cancer tissues as well as diathesis of each patient who underwent operation at our Institution. The aim of this study was to identify novel genes displaying altered gene expression related to the survival and early recurrence after hepatectomy for hepatocellular carcinoma (HCC) using the results of integrated GEP analysis. MATERIALS AND

methodsThe present study included 92 patients. Genes with aberrant expression were selected by the difference of expression levels with ≥10-fold change between tumor and non-tumor tissues.

resultsGEP analysis showed that down-regulation was frequently observed in the PRSS8 (64%), CYP3A4 (61%) and EPCAM (57%) genes. Multivariate analysis revealed tumor stage ≥II (p=0.008) and down-regulation of the CYP3A4 gene (p=0.036) as independent predictor for overall survival. Furthermore, multivariate analysis identified maximum tumor diameter ≥74mm (p=0.008), presence of intrahepatic-metastasis (p=0.020), and down-regulation of CYP3A4 gene (p=0.019) as independent predictors for early recurrence.

conclusionCYP3A4 was identified as a novel tumor suppressor gene related to a poor prognosis in HCC.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, HepatocellularCytochrome P-450 CYP3ADown-RegulationFemaleGene Expression ProfilingHumansLiver NeoplasmsMiddle AgedPrognosisSurvival AnalysisBiomarkers, TumorCytochrome P-450 CYP3ACYP3A4 genedown-regulationearly recurrenceHepatocellular carcinomaoverall survival

Identifiers

PMID29109094
PMCPMC6070324
OpenAlexW2767749330

What OpenQuestion holds

Textmetadata
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.