Evidence map›Paper›PMID 28430642›Full record

ArticleOncotarget2017

Immunocompetent mouse allograft models for development of therapies to target breast cancer metastasis.

Yuan Yang, Howard H Yang, Ying Hu, Peter H Watson, Huaitian Liu, Thomas R Geiger, Miriam R Anver, Diana C Haines, Philip Martin, Jeffrey E Green and 3 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
–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

72 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Effects of enoxaparin and aspirin on metastatic spread in a murine melanoma model.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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12 more citing papers are in PubMed but not listed here.

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

13 authors.

Yuan YangLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Howard H YangHigh Dimension Data Analysis Group, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Ying HuHigh Dimension Data Analysis Group, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Peter H WatsonBritish Columbia Cancer Agency, Vancouver Island Center, Victoria, British Columbia, Canada.
Huaitian LiuHigh Dimension Data Analysis Group, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Thomas R GeigerLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Miriam R AnverPathology Histotechnology Lab, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick MD, USA.
Diana C HainesPathology Histotechnology Lab, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick MD, USA.
Philip MartinPathology Histotechnology Lab, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick MD, USA.
Jeffrey E GreenLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Maxwell P LeeHigh Dimension Data Analysis Group, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Kent W HunterLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Lalage M WakefieldLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.

Funding

Genetic Modifiers of Intitiation and Progression of Mammary CancerZIABC011255 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HUNTER, KENT WILLIAM · 2010 to 2025
$33.2M
Development of TGF-beta antagonists for cancer therapyZIABC010881 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WAKEFIELD, LALAGE · 2009 to 2025
$12.5M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC010881NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Effective drug development to combat metastatic disease in breast cancer would be aided by the availability of well-characterized preclinical animal models that (a) metastasize with high efficiency, (b) metastasize in a reasonable time-frame, (c) have an intact immune system, and (d) capture some of the heterogeneity of the human disease. To address these issues, we have assembled a panel of twelve mouse mammary cancer cell lines that can metastasize efficiently on implantation into syngeneic immunocompetent hosts. Genomic characterization shows that more than half of the 30 most commonly mutated genes in human breast cancer are represented within the panel. Transcriptomically, most of the models fall into the luminal A or B intrinsic molecular subtypes, despite the predominance of an aggressive, poorly-differentiated or spindled histopathology in all models. Patterns of immune cell infiltration, proliferation rates, apoptosis and angiogenesis differed significantly among models. Inherent within-model variability of the metastatic phenotype mandates large cohort sizes for intervention studies but may also capture some relevant non-genetic sources of variability. The varied molecular and phenotypic characteristics of this expanded panel of models should aid in model selection for development of antimetastatic therapies in vivo, and serve as a useful platform for predictive biomarker identification.

Indexed as

Mammary Neoplasms, ExperimentalAllograftsAnimalsBiomarkers, TumorBiopsyBreast NeoplasmsCell Line, TumorFemaleGene Expression ProfilingGenomicsHeterograftsHumansImmunohistochemistryMiceMolecular Targeted TherapyNeoplasm MetastasisBiomarkers, Tumorbreast cancerexperimental therapeuticsgenomicsimmunocompetent mouse modelsmetastasis

Identifiers

PMID28430642
PMCPMC5458155

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.