Evidence map›Paper›PMID 25636464›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2015

Mouse models of breast cancer.

Kazuhito Sakamoto, Jeffrey W Schmidt, Kay-Uwe Wagner

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. International journal of molecular sciences · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Engineering Breast Cancer On-chip-Moving Toward Subtype Specific Models.Frontiers in bioengineering and biotechnology · 2021
    Review
  17. Review
  18. Review
  19. Article
  20. Emerging roles of DYRK2 in cancer.The Journal of biological chemistry
    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

3 authors.

Kazuhito SakamotoEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, 985950 Nebraska Medical Center, Omaha, NE, 68198-5950, USA, ksakamoto@unmc.edu.
Jeffrey W Schmidt
Kay-Uwe Wagner

Funding

CHEMICAL CARCINOGENESIS &CANCER BIOLOGYT32CA009476 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Jennifer D. Black · 1988 to 2026
$6.2M
Growth-Regulatory Signaling Networks in Breast CancerR01CA117930 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WAGNER, KAY-UWE · 2006 to 2016
$2.5M
NCI NIH HHS R01 CA117930NCI NIH HHS T32 CA009476
6 · The paper itself

Abstract

Breast cancer is the most common cause of cancer death in women worldwide. This malignancy is a complex disease, which is defined by an intrinsic heterogeneity on the histopathological and molecular level as well as response to therapy and outcome. In addition to classical histopathological features, breast cancer can be categorized into at least five major subtypes based on comprehensive gene expression profiling: luminal A, luminal B, basal-like, ERBB2-positive, and normal-like breast cancer. Genetically engineered mouse models can serve as tools to study the molecular underpinnings for this disease. Given the genetic complexity that drives the initiation and progression of individual breast cancer subtypes, it is evident that certain models can reflect only particular aspects of this malignancy. In this book chapter, we will primarily focus on advances in modeling breast cancer at defined stages of carcinogenesis using genetically engineered mice. We will discuss the ability as well as shortcomings of these models to faithfully recapitulate the spectrum of human breast cancer subtypes.

Indexed as

Disease Models, AnimalMammary Neoplasms, ExperimentalAnimalsFemaleGene Knockout TechniquesGenetic EngineeringHumansLigandsMammary Glands, AnimalMiceMice, TransgenicNeoplasm MetastasisOncogenesOrgan SpecificityLigands

Identifiers

PMID25636464
PMCPMC6492279

What OpenQuestion holds

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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.