Evidence map›Paper›PMID 32823526›Full record

ArticleCancers2020

Genetically Engineered Mouse Models of Liver Tumorigenesis Reveal a Wide Histological Spectrum of Neoplastic and Non-Neoplastic Liver Lesions.

Katja Steiger, Nina Gross, Sebastian A Widholz, Roland Rad, Wilko Weichert, Carolin Mogler

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Katja SteigerInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0002-7269-5433
Nina GrossCenter for Translational Cancer Research (Transla TUM), School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Sebastian A WidholzCenter for Translational Cancer Research (Transla TUM), School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0002-4566-2986
Roland RadMember of the German Cancer Consortium (DKTK), Partner Site Munich, 81675 Munich, Germany.
Wilko WeichertInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Carolin MoglerInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.

Funding

Deutsche Forschungsgemeinschaft CRC 1366; 39404578Deutsche Forschungsgemeinschaft RA1629/2-1Deutsche Forschungsgemeinschaft SFB 1321Deutsche Forschungsgemeinschaft SFB 1335; 360372040Deutsche Krebshilfe 70112480Deutschen Konsortium für Translationale Krebsforschung Joint Funding ProgrammeEuropean Research Council PACA-MET and MSCA-ITN-ETN PRECODE
6 · The paper itself

Abstract

Genetically engineered mouse models (GEMM) are an elegant tool to study liver carcinogenesis in vivo. Newly designed mouse models need detailed (histopathological) phenotyping when described for the first time to avoid misinterpretation and misconclusions. Many chemically induced models for hepatocarcinogenesis comprise a huge variety of histologically benign and malignant neoplastic, as well as non-neoplastic, lesions. Such comprehensive categorization data for GEMM are still missing. In this study, 874 microscopically categorized liver lesions from 369 macroscopically detected liver "tumors" from five different GEMM for liver tumorigenesis were included. The histologic spectrum of diagnosis included a wide range of both benign and malignant neoplastic (approx. 82%) and non-neoplastic (approx. 18%) lesions including hyperplasia, reactive bile duct changes or oval cell proliferations with huge variations among the various models and genetic backgrounds. Our study therefore critically demonstrates that models of liver tumorigenesis can harbor a huge variety of histopathologically distinct diagnosis and, depending on the genotype, notable variations are expectable. These findings are extremely important to warrant the correct application of GEMM in liver cancer research and clearly emphasize the role of basic histopathology as still being a crucial tool in modern biomedical research.

Indexed as

GEMMhistologyliver lesionsliver tumorigenesis

Identifiers

PMID32823526
PMCPMC7465606

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Registered trials

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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.