Evidence map›Paper›PMID 27694601›Full record

ReviewCancer research2016

Concepts in Cancer Modeling: A Brief History.

Renee M Thomas, Terry Van Dyke, Glenn Merlino, Chi-Ping Day

Abstract readReview
In one paragraph

Review in Cancer research, 2016. 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
–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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Toward improved models of human cancer.APL bioengineering · 2021
    Article
  7. Article
  8. In Vitro and Ex Vivo Models - The Tumor Microenvironment in a Flask.Advances in experimental medicine and biology · 2020
    Review
  9. Using Mouse andInternational journal of molecular sciences · 2018
    Review
  10. Article
  11. Mouse models of UV-induced melanoma: genetics, pathology, and clinical relevance.Laboratory investigation; a journal of technical methods and pathology · 2017
    Review
  12. 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

4 authors.

Renee M ThomasLaboratory of Cancer Biology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland. NIH Medical Research Scholars Program, National Institutes of Health, Bethesda, Maryland.
Terry Van DykeCenter for Advanced Preclinical Research, Center for Cancer Research, National Cancer Institute, Frederick, Maryland.
Glenn MerlinoLaboratory of Cancer Biology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland. daychi@mail.nih.gov gmerlino@helix.nih.gov.
Chi-Ping DayLaboratory of Cancer Biology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland. daychi@mail.nih.gov gmerlino@helix.nih.gov.

Funding

Preclinical Mouse Models for Studying Immune Checkpoint Inhibitor ResponseZIABC011167 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MERLINO, GLENN T. · 2009 to 2024
$12.4M
Howard Hughes Medical InstituteIntramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011167
6 · The paper itself

Abstract

Modeling, an experimental approach to investigate complex biological systems, has significantly contributed to our understanding of cancer. Although extensive cancer research has been conducted utilizing animal models for elucidating mechanisms and developing therapeutics, the concepts in a good model design and its application have not been well elaborated. In this review, we discuss the theory underlying biological modeling and the process of producing a valuable and relevant animal model. Several renowned examples in the history of cancer research will be used to illustrate how modeling can be translatable to clinical applications. Finally, we will also discuss how the advances in cancer genomics and cancer modeling will influence each other going forward. Cancer Res; 76(20); 5921-5. ©2016 AACR.

Indexed as

Disease Models, AnimalAnimalsB7-H1 AntigenCTLA-4 AntigenHumansMiceNeoplasmsProto-Oncogene Proteins B-rafB7-H1 AntigenCTLA-4 AntigenProto-Oncogene Proteins B-raf

Identifiers

PMID27694601
PMCPMC5117812

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.