Evidence map›Paper›PMID 26668215›Full record

ArticleMolecular pharmacology2016

A Gene Expression Signature Associated with Overall Survival in Patients with Hepatocellular Carcinoma Suggests a New Treatment Strategy.

Jean-Pierre Gillet, Jesper B Andersen, James P Madigan, Sudhir Varma, Rachel K Bagni, Katie Powell, William E Burgan, Chung-Pu Wu, Anna Maria Calcagno, Suresh V Ambudkar and 2 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Stemness-hypoxia genesTranslational cancer research · 2025
    Article
  3. Functional Doxorubicin-Loaded Omega-3 Unsaturated Fatty Acids Nanoparticles in Reversing Hepatocellular Carcinoma Multidrug Resistance.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

12 authors at 6 institutions in 1 country.

Jean-Pierre GilletLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Jesper B AndersenLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
James P MadiganLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Sudhir VarmaLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Rachel K BagniLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Katie PowellLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
William E BurganLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Chung-Pu WuLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Anna Maria CalcagnoLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Suresh V AmbudkarLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Snorri S ThorgeirssonLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.).
Michael M GottesmanLaboratory of Cell Biology (J-P.G., J.P.M., C-P.W., A.M.C., S.V.A., M.M.G.) and Laboratory of Experimental Carcinogenesis (J.B.A., S.S.T.), Center for Cancer Research, National Cancer Institute, and Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, Office of Science Management and Operations, National Institute of Allergy and Infectious Diseases (S.V.), National Institutes of Health, Bethesda, Maryland; and the Viral Technologies Group and Molecular Detection Group, Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, Marylanld (R.K.B., K.P., W.E.B.) mgottesman@nih.gov.
Center for Cancer Research · USFrederick National Laboratory for Cancer Research · USNational Cancer Institute · USNational Institute of Allergy and Infectious Diseases · USOffice of Science · USProtein Express (United States) · US

Funding

Mechanisms of non-classical multidrug resistance in cancerZIABC010830 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GOTTESMAN, MICHAEL · 2009 to 2025
$19.6M
CCR NIH HHS HHSN261200800001CIntramural NIH HHSNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Despite improvements in the management of liver cancer, the survival rate for patients with hepatocellular carcinoma (HCC) remains dismal. The survival benefit of systemic chemotherapy for the treatment of liver cancer is only marginal. Although the reasons for treatment failure are multifactorial, intrinsic resistance to chemotherapy plays a primary role. Here, we analyzed the expression of 377 multidrug resistance (MDR)-associated genes in two independent cohorts of patients with advanced HCC, with the aim of finding ways to improve survival in this poor-prognosis cancer. Taqman-based quantitative polymerase chain reaction revealed a 45-gene signature that predicts overall survival (OS) in patients with HCC. Using the Connectivity Map Tool, we were able to identify drugs that converted the gene expression profiles of HCC cell lines from ones matching patients with poor OS to profiles associated with good OS. We found three compounds that convert the gene expression profiles of three HCC cell lines to gene expression profiles associated with good OS. These compounds increase histone acetylation, which correlates with the synergistic sensitization of those MDR tumor cells to conventional chemotherapeutic agents, including cisplatin, sorafenib, and 5-fluorouracil. Our results indicate that it is possible to modulate gene expression profiles in HCC cell lines to those associated with better outcome. This approach also increases sensitization of HCC cells toward conventional chemotherapeutic agents. This work suggests new treatment strategies for a disease for which few therapeutic options exist.

Indexed as

Gene Expression Regulation, NeoplasticAntineoplastic AgentsCarcinoma, HepatocellularCell Line, TumorCohort StudiesHumansLiver NeoplasmsSurvival RateTreatment OutcomeAntineoplastic Agents

Identifiers

PMID26668215
PMCPMC4727122
OpenAlexW2198389865

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.