Evidence map›Paper›PMID 22821401›Full record

ArticleBreast cancer research and treatment2012

Patient-derived luminal breast cancer xenografts retain hormone receptor heterogeneity and help define unique estrogen-dependent gene signatures.

Peter Kabos, Jessica Finlay-Schultz, Chunling Li, Enos Kline, Christina Finlayson, Joshua Wisell, Christopher A Manuel, Susan M Edgerton, J Chuck Harrell, Anthony Elias and 1 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

92 citing papers in PubMed, 140 citations in OpenAlex.

  1. Article
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  4. Patient-Derived Xenografts of Breast Cancer.Advances in experimental medicine and biology · 2025
    Review
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32 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

11 authors at 3 institutions in 1 country.

Peter KabosDepartment of Medicine, Division of Medical Oncology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.
Jessica Finlay-Schultz
Chunling Li
Enos Kline
Christina Finlayson
Joshua Wisell
Christopher A Manuel
Susan M Edgerton
J Chuck Harrell
Anthony Elias
Carol A Sartorius
University of Colorado Denver · USUniversity of Colorado Anschutz Medical Campus · USUniversity of North Carolina at Chapel Hill · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Hormones and Tumor Initiating Cells in Human Breast CancersR01CA140985 · NCI · UNIVERSITY OF COLORADO DENVER · PI SARTORIUS, CAROL ANN · 2011 to 2020
$3.0M
NCI NIH HHS P30 CA046934NCI NIH HHS R01 CA140985
6 · The paper itself

Abstract

Bypassing estrogen receptor (ER) signaling during development of endocrine resistance remains the most common cause of disease progression and mortality in breast cancer patients. To date, the majority of molecular research on ER action in breast cancer has occurred in cell line models derived from late stage disease. Here we describe patient-derived ER+ luminal breast tumor models for the study of intratumoral hormone and receptor action. Human breast tumor samples obtained from patients post surgery were immediately transplanted into NOD/SCID or NOD/SCID/ILIIrg(-/-) mice under estrogen supplementation. Five transplantable patient-derived ER+ breast cancer xenografts were established, derived from both primary and metastatic cases. These were assessed for estrogen dependency, steroid receptor expression, cancer stem cell content, and endocrine therapy response. Gene expression patterns were determined in select tumors ±estrogen and ±endocrine therapy. Xenografts morphologically resembled the patient tumors of origin, and expressed similar levels of ER (5-99 %), and progesterone and androgen receptors, over multiple passages. Four of the tumor xenografts were estrogen dependent, and tamoxifen or estrogen withdrawal (EWD) treatment abrogated estrogen-dependent growth and/or tumor morphology. Analysis of the ER transcriptome in select tumors revealed notable differences in ER mechanism of action, and downstream activated signaling networks, in addition to identifying a small set of common estrogen-regulated genes. Treatment of a naïve tumor with tamoxifen or EWD showed similar phenotypic responses, but relatively few similarities in estrogen-dependent transcription, and affected signaling pathways. Several core estrogen centric genes were shared with traditional cell line models. However, novel tumor-specific estrogen-regulated potential target genes, such as cancer/testis antigen 45, were uncovered. These results evoke the importance of mapping both conserved and tumor-unique ER programs in breast cancers. Furthermore, they underscore the importance of primary xenografts for improved understanding of ER+ breast cancer heterogeneity and development of personalized therapies.

Indexed as

AnimalsAntineoplastic Agents, HormonalBreast NeoplasmsBreast Neoplasms, MaleCD24 AntigenCluster AnalysisErb-b2 Receptor Tyrosine KinasesEstrogensFemaleGene Regulatory NetworksHumansHyaluronan ReceptorsMaleMiceMice, Inbred NODMice, SCIDAntineoplastic Agents, HormonalCD24 AntigenCD24 protein, humanCD44 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesEstrogensHyaluronan ReceptorsReceptors, EstrogenReceptors, ProgesteroneTamoxifen

Identifiers

PMID22821401
PMCPMC3818141
OpenAlexW2005706175

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.