Evidence map›Paper›PMID 31332214›Full record

ArticleScientific reports2019

Establishment of hepatocellular carcinoma patient-derived xenografts from image-guided percutaneous biopsies.

David J Tischfield, Daniel Ackerman, Michael Noji, James X Chen, Omar Johnson, Nicholas R Perkons, Gregory J Nadolski, Stephen J Hunt, Michael C Soulen, Emma E Furth and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
0.6field-weighted citation impact, top 33% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Scalable Hyperpolarized MRI Enabled by Ace-SABRE of [1-Angewandte Chemie (International ed. in English) · 2025
    Article
  4. Review
  5. Precision models in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  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

11 authors at 2 institutions in 2 countries.

David J TischfieldPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Daniel AckermanPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Michael NojiPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
James X ChenPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Omar JohnsonPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Nicholas R PerkonsPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Gregory J NadolskiPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Stephen J HuntPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Michael C SoulenPenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Emma E FurthDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Terence P GadePenn Image-Guided Interventions Laboratory, Perelman School of Medicine at the University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA. gadet@pennmedicine.upenn.edu.
University of Pennsylvania · USBioengineering Center · RU

Funding

Image-Based Phenotyping of Hepatocellular Carcinoma Cell Survival Under Ischemic Stress: Toward Metabolic Imaging of Cancer Dormancy Using Hyperpolarized Carbon-13 TechnologyDP5OD021391 · OD · UNIVERSITY OF PENNSYLVANIA · PI GADE, TERENCE P · 2015 to 2019
$2.0M
NIH HHS DP5 OD021391
6 · The paper itself

Abstract

While patient-derived xenograft (PDX) models of hepatocellular carcinoma (HCC) have been successfully generated from resected tissues, no reliable methods have been reported for the generation of PDXs from patients who are not candidates for resection and represent the vast majority of patients with HCC. Here we compare two methods for the creation of PDXs from HCC biopsies and find that implantation of whole biopsy samples without the addition of basement membrane matrix favors the formation of PDX tumors that resemble Epstein-Barr virus (EBV)-driven B-cell lymphomas rather than HCC tumors. In contrast, implantation with Matrigel supports growth of HCC cells and leads to a high rate of HCC tumor formation from these biopsies. We validate the resulting PDXs, confirm their fidelity to the patients' disease and conclude that minimally invasive percutaneous liver biopsies can be used with relatively high efficiency to generate PDXs of HCC.

Indexed as

AnimalsCarcinoma, HepatocellularCollagenDrug CombinationsHerpesvirus 4, HumanHeterograftsHumansImage-Guided BiopsyLamininLiver NeoplasmsLiver Neoplasms, ExperimentalMaleMiceMice, Inbred NODMice, SCIDNeoplasm TransplantationCollagenDrug CombinationsLamininmatrigelProteoglycans

Identifiers

PMID31332214
PMCPMC6646301
OpenAlexW2963330067

What OpenQuestion holds

Textmetadata
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.