Evidence map›Paper›PMID 26143441›Full record

ArticleJournal of hepatology2015

Serum-based tracking of de novo initiated liver cancer progression reveals early immunoregulation and response to therapy.

Jeff J Subleski, Anthony J Scarzello, W Gregory Alvord, Qun Jiang, Jimmy K Stauffer, Anthony Kronfli, Bahara Saleh, Timothy Back, Jonathan M Weiss, Robert H Wiltrout

Open access · hybridAbstract read
In one paragraph

Article in Journal of hepatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Mouse Models of Oncoimmunology in Hepatocellular Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Review
  8. Article
  9. Review
  10. Observational
  11. Article
  12. Article
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

10 authors at 4 institutions in 1 country.

Jeff J SubleskiCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Anthony J ScarzelloCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
W Gregory AlvordStatistical Consulting, Data Management Services, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, United States.
Qun JiangCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Jimmy K StaufferCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Anthony KronfliCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Bahara SalehCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Timothy BackCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Jonathan M WeissCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States.
Robert H WiltroutCancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21702, United States. Electronic address: wiltrour@mail.nih.gov.
National Cancer Institute · USCenter for Cancer Research · USNational Institutes of Health · USData Management Services (United States) · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

BACKGROUND &

aimsLiver inflammatory diseases associated with cancer promoting somatic oncogene mutations are increasing in frequency. Preclinical cancer models that allow for the study of early tumor progression are often protracted, which limits the experimental study parameters due to time and expense. Here we report a robust inexpensive approach using Sleeping Beauty transposition (SBT) delivery of oncogenes along with Gaussia Luciferase expression vector GLuc, to assess de novo liver tumor progression, as well as the detection of innate immune responses or responses induced by therapeutic intervention.

methodsTracking de novo liver tumor progression with GLuc was demonstrated in models of hepatocellular carcinoma (HCC) or adenoma (HCA) initiated by hydrodynamic delivery of SBT oncogenes.

resultsRising serum luciferase levels correlated directly with increasing liver tumor burden and eventual morbidity. Early detection of hepatocyte apoptosis from mice with MET+CAT transfected hepatocytes was associated with a transient delay in HCC growth mediated by a CD8(+) T-cell response against transformed hepatocytes. Furthermore, mice that lack B cells or macrophages had an increase in TUNEL(+) hepatocytes following liver MET transfection demonstrating that these cells provide protection from MET-induced hepatocyte apoptosis. Treatment with IL-18+IL-12 of mice displaying established HCC decreased tumor burden which was associated with decreased levels of serum luciferase.

conclusionsHydrodynamic delivery of the SBT vector GLuc to hepatocytes serves as a simple blood-based approach for real-time tracking of pathologically distinct types of liver cancer. This revealed tumor-induced immunologic responses and was beneficial in monitoring the efficacy of therapeutic interventions.

Indexed as

Immunity, CellularAdenoma, Liver CellAnimalsApoptosisCarcinoma, HepatocellularCD8-Positive T-LymphocytesDisease ProgressionHepatocytesImmunohistochemistryIn Situ Nick-End LabelingInterleukin-12Interleukin-18Liver NeoplasmsLiver Neoplasms, ExperimentalLuciferasesMagnetic Resonance ImagingInterleukin-12Interleukin-18LuciferasesRecombinant ProteinsGaussia LuciferaseHCAHCCReal-time trackingSleeping Beauty TranspositionTreatment

Identifiers

PMID26143441
PMCPMC4615530
OpenAlexW2152930518

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.