Evidence map›Paper›PMID 26172295›Full record

ArticleOncotarget2015

Growth arrest DNA damage-inducible gene 45 gamma expression as a prognostic and predictive biomarker in hepatocellular carcinoma.

Da-Liang Ou, Song-Kun Shyue, Liang-In Lin, Zi-Rui Feng, Jun-Yang Liou, Hsiang-Hsuan Fan, Bin-Shyun Lee, Chiun Hsu, Ann-Lii Cheng

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Roles for GADD45 in Development and Cancer.Advances in experimental medicine and biology · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors at 4 institutions in 1 country.

Da-Liang OuGraduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Song-Kun ShyueInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Liang-In LinGraduate Institute of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Zi-Rui FengNational Center of Excellence for Clinical Trial and Research, National Taiwan University Hospital, Taipei, Taiwan.
Jun-Yang LiouInstitute of Cellular and System Medicine, National Health Research Institutes, Zhunan, Taiwan.
Hsiang-Hsuan FanNational Center of Excellence for Clinical Trial and Research, National Taiwan University Hospital, Taipei, Taiwan.
Bin-Shyun LeeNational Center of Excellence for Clinical Trial and Research, National Taiwan University Hospital, Taipei, Taiwan.
Chiun HsuGraduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Ann-Lii ChengGraduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan.
National Taiwan University · TWNational Taiwan University Hospital · TWInstitute of Biomedical Sciences, Academia Sinica · TWNational Health Research Institutes · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth arrest DNA damage-inducible gene 45 (GADD45) family proteins play a crucial role in regulating cellular stress responses and apoptosis. The present study explored the prognostic and predictive role of GADD45γ in hepatocellular carcinoma (HCC) treatment. GADD45γ expression in HCC cells was examined using quantitative reverse transcription-PCR (qRT-PCR) and Western blotting. The control of GADD45γ transcription was examined using a luciferase reporter assay and chromatin immunoprecipitation. The in vivo induction of GADD45γ was performed using adenoviral transfer. The expression of GADD45γ in HCC tumor tissues from patients who had undergone curative resection was measured using qRT-PCR. Sorafenib induced expression of GADD45γ mRNA and protein, independent of its RAF kinase inhibitor activity. GADD45γ induction was more prominent in sorafenib-sensitive HCC cells (Huh-7 and HepG2, IC50 6-7 μM) than in sorafenib-resistant HCC cells (Hep3B, Huh-7R, and HepG2R, IC50 12-15 μM). Overexpression of GADD45γ reversed sorafenib resistance in vitro and in vivo, whereas GADD45γ expression knockdown by using siRNA partially abrogated the proapoptotic effects of sorafenib on sorafenib-sensitive cells. Overexpression of survivin in HCC cells abolished the antitumor enhancement between GADD45γ overexpression and sorafenib treatment, suggesting that survivin is a crucial mediator of antitumor effects of GADD45γ. GADD45γ expression decreased in tumors from patients with HCC who had undergone curative surgery, and low GADD45γ expression was an independent prognostic factor for poor survival, in addition to old age and vascular invasion. The preceding data indicate that GADD45γ suppression is a poor prognostic factor in patients with HCC and may help predict sorafenib efficacy in HCC.

Indexed as

AgedAnimalsAntineoplastic AgentsApoptosisBiomarkers, TumorBlotting, WesternCarcinoma, HepatocellularCCAAT-Enhancer-Binding ProteinsCell Cycle ProteinsCell Line, TumorChromatin ImmunoprecipitationDrug Resistance, NeoplasmFemaleGADD45 ProteinsGene Expression Regulation, NeoplasticHumansAntineoplastic AgentsBiomarkers, TumorCCAAT-Enhancer-Binding ProteinsCell Cycle ProteinsGADD45A protein, humanGADD45 ProteinsNiacinamideNuclear ProteinsPhenylurea CompoundsRNA, Small InterferingSorafenibCCAAT/enhancer binding protein (C/EBP)GADD45γhepatocellular carcinoma (HCC)sorafenibsurvivin

Identifiers

PMID26172295
PMCPMC4695037
OpenAlexW1821269505

What OpenQuestion holds

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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.