Evidence map›Paper›PMID 31899548›Full record

ArticleHepatology (Baltimore, Md.)2020

Uncovering Biological Factors That Regulate Hepatocellular Carcinoma Growth Using Patient-Derived Xenograft Assays.

Min Zhu, Lin Li, Tianshi Lu, Hyesun Yoo, Ji Zhu, Purva Gopal, Sam C Wang, Matthew R Porembka, Nicole E Rich, Sofia Kagan and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
  2. Review
  3. Review
  4. [Factors affecting tumorigenicity in liver cancer xenografts].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  5. Precision models in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2025
    Review
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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

17 authors at 4 institutions in 1 country.

Min ZhuChildren's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Lin LiChildren's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Tianshi LuChildren's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Hyesun YooDepartment of Statistics, University of Michigan, Ann Arbor, MI.
Ji ZhuDepartment of Statistics, University of Michigan, Ann Arbor, MI.
Purva GopalDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX.
Sam C WangDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
Matthew R PorembkaDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
Nicole E RichDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0003-2740-8818
Sofia KaganDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Mobolaji OdewoleDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Veronica RenteriaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Akbar K WaljeeMichigan Integrated Center for Health Analytics and Medical Prediction, Ann Arbor, MI.
Tao WangQuantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Amit G SingalDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Adam C YoppDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
Hao ZhuChildren's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-8417-9698
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · USUniversity of Michigan · USMichigan Medicine · US

Funding

Multilevel factors for racial/ethnic and socioeconomic disparities in prognosis of hepatocellular carcinomaR01MD012565 · NIMHD · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT, YOPP, ADAM · 2018 to 2022
$4.3M
Arid1a loss accelerates pancreatic ductal adenocarcinoma precursor formationK08CA222611 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, SAM C. · 2018 to 2022
$804k
NCI NIH HHS K08 CA222611NCI NIH HHS R01 MD12565NIMHD NIH HHS R01 MD012565
6 · The paper itself

Abstract

BACKGROUND AND

aimsSeveral major factors limit our understanding of hepatocellular carcinoma (HCC). First, human HCCs are infrequently biopsied for diagnosis and thus are not often biologically interrogated. Second, HCC initiation and progression are strongly influenced by the cirrhotic microenvironment, and the exact contributions of intrinsic and extrinsic tumor factors are unclear. A powerful approach to examine the personalized biology of liver cancers and the influence of host tissues is with patient-derived xenograft (PDX) models. In Asia, HCCs from patients with hepatitis B virus have been efficiently converted into PDXs, but few parallel efforts from the west have been reported. APPROACH AND

resultsIn a large-scale analysis, we implanted 93 HCCs and 8 cholangiocarcinomas (CCAs) to systematically analyze host factors and to define an optimized platform for PDX development from both surgical and biopsy samples. NOD Scid IL-2Rγ

conclusionsPDX models functionalize early and advanced stage HCCs and revealed unique biological features of liver cancers from the United States.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsXenograft Model Antitumor AssaysAnimalsAntineoplastic AgentsBiopsyFemaleGene ExpressionHepatectomyHumansLiverMaleMiceMiddle AgedNeoplasm StagingTumor MicroenvironmentAntineoplastic Agents

Identifiers

PMID31899548
PMCPMC7332388
OpenAlexW2997410760

What OpenQuestion holds

Textmetadata
LicenceTDM
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.