Evidence map›Paper›PMID 30842212›Full record

ArticleGut2019

Diverse tumour susceptibility in Collaborative Cross mice: identification of a new mouse model for human gastric tumourigenesis.

Pin Wang, Yunshan Wang, Sasha A Langley, Yan-Xia Zhou, Kuang-Yu Jen, Qi Sun, Colin Brislawn, Carolina M Rojas, Kimberly L Wahl, Ting Wang and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Gut, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. The Mouse Models of Human Cancer database (MMHCdb).Disease models & mechanisms · 2023
    Article
  15. Article
  16. Disease Animal Models for Cancer Research.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Genetic Mapping of Behavioral Traits Using the Collaborative Cross Resource.International journal of molecular sciences · 2022
    Article
  18. Article
  19. Article
  20. 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

17 authors at 5 institutions in 2 countries.

Pin WangDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Yunshan WangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Sasha A LangleyBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Yan-Xia ZhouBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Kuang-Yu JenDepartment of Pathology, University of California Davis Medical Center, Sacramento, California, USA.
Qi SunDepartment of Pathology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Colin BrislawnEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
Carolina M RojasDepartment of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA.
Kimberly L WahlDepartment of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA.
Ting WangDepartment of Pathology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Xiangshan FanDepartment of Pathology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Janet K JanssonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
Susan E CelnikerBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Xiaoping ZouDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
David W ThreadgillDepartment of Veterinary Pathobiology, Texas A&M University, College Station, Texas, USA.
Antoine M SnijdersBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0002-7086-1063
Jian-Hua MaoBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0001-9320-6021
Lawrence Berkeley National Laboratory · USNanjing Drum Tower Hospital · CNTexas A&M University · USPacific Northwest National Laboratory · USUniversity of California Davis Medical Center · US

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Comparative Biomedical Research Training for VeterinariansT32OD011083 · OD · TEXAS A&M AGRILIFE RESEARCH · PI ALBERT MULENGA · 2012 to 2026
$4.8M
NIEHS NIH HHS P42 ES027704NIH HHS T32 OD011083
6 · The paper itself

Abstract

objectiveThe Collaborative Cross (CC) is a mouse population model with diverse and reproducible genetic backgrounds used to identify novel disease models and genes that contribute to human disease. Since spontaneous tumour susceptibility in CC mice remains unexplored, we assessed tumour incidence and spectrum.

designWe monitored 293 mice from 18 CC strains for tumour development. Genetic association analysis and RNA sequencing were used to identify susceptibility loci and candidate genes. We analysed genomes of patients with gastric cancer to evaluate the relevance of genes identified in the CC mouse model and measured the expression levels of

resultsCC mice displayed a wide range in the incidence and types of spontaneous tumours. More than 40% of CC036 mice developed gastric tumours within 1 year. Genetic association analysis identified

conclusionsCC strains exhibit tremendous variation in tumour susceptibility, and we present CC036 as a spontaneous laboratory mouse model for studying human gastric tumourigenesis.

Indexed as

Disease Models, AnimalAnimalsCarcinogenesisCollaborative Cross MiceFemaleGenetic Predisposition to DiseaseMaleMiceStomach Neoplasmscollaborative crossgastric cancermouse modeltumor susceptibility

Identifiers

PMID30842212
PMCPMC6839736
OpenAlexW2920958190

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.