Evidence map›Paper›PMID 31160716›Full record

ArticleCell death and differentiation2020

Two well-differentiated pancreatic neuroendocrine tumor mouse models.

Chung Wong, Laura H Tang, Christian Davidson, Evan Vosburgh, Wenjin Chen, David J Foran, Daniel A Notterman, Arnold J Levine, Eugenia Y Xu

Open access · hybridAbstract read
In one paragraph

Article in Cell death and differentiation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Menin in Cancer.Genes · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Insights into Mechanisms of Tumorigenesis in Neuroendocrine Neoplasms.International journal of molecular sciences · 2021
    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

9 authors at 6 institutions in 1 country.

Chung WongRaymond and Beverly Sackler Foundation Laboratory, New Brunswick, NJ, 08901, USA.
Laura H TangDepartment of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
Christian DavidsonDepartment of Pathology, University of Utah, Huntsman Cancer Institute, Salt Lake City, UT, 84112, USA.
Evan VosburghRaymond and Beverly Sackler Foundation Laboratory, New Brunswick, NJ, 08901, USA.ORCID http://orcid.org/0000-0002-1728-7787
Wenjin ChenRutgers Cancer Institute of New Jersey, Rutgers, the State University of New Jersey, New Brunswick, NJ, 08903, USA.
David J ForanRutgers Cancer Institute of New Jersey, Rutgers, the State University of New Jersey, New Brunswick, NJ, 08903, USA.
Daniel A NottermanDepartment of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA.
Arnold J LevineSchool of Natural Sciences, Institute for Advanced Study, Princeton, NJ, 08540, USA.
Eugenia Y XuRaymond and Beverly Sackler Foundation Laboratory, New Brunswick, NJ, 08901, USA. exu@princeton.edu.
Rutgers, The State University of New Jersey · USInstitute for Advanced Study · USMemorial Sloan Kettering Cancer Center · USPrinceton University · USRegeneron (United States) · USUniversity of Utah · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2014 to 2018
$2.0M
Methods and Tools for Integrating Pathomics Data into Cancer RegistriesUG3CA225021 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI DURBIN, ERIC B., FORAN, DAVID J · 2018 to 2019
$815k
NCATS NIH HHS UL1 TR003017NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA072720NICHD NIH HHS P2C HD047879
6 · The paper itself

Abstract

Multiple endocrine neoplasia type 1 (MEN1) is a genetic syndrome in which patients develop neuroendocrine tumors (NETs), including pancreatic neuroendocrine tumors (PanNETs). The prolonged latency of tumor development in MEN1 patients suggests a likelihood that other mutations cooperate with Men1 to induce PanNETs. We propose that Pten loss combined with Men1 loss accelerates tumorigenesis. To test this, we developed two genetically engineered mouse models (GEMMs)-MPR (Men1

Indexed as

Disease Models, AnimalMiceAnimalsAntibiotics, AntineoplasticCarcinogenesisGene DeletionNeuroendocrine TumorsPancreatic NeoplasmsProto-Oncogene ProteinsPTEN PhosphohydrolaseSirolimusAntibiotics, AntineoplasticMen1 protein, mouseProto-Oncogene ProteinsPTEN PhosphohydrolasePten protein, mouseSirolimus

Identifiers

PMID31160716
PMCPMC7206057
OpenAlexW2948658169

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.