Evidence map›Paper›PMID 23456611›Full record

ArticleCurrent protocols in pharmacology2013

Patient-derived models of human breast cancer: protocols for in vitro and in vivo applications in tumor biology and translational medicine.

Yoko S DeRose, Keith M Gligorich, Guoying Wang, Ann Georgelas, Paulette Bowman, Samir J Courdy, Alana L Welm, Bryan E Welm

Abstract read
In one paragraph

Article in Current protocols in pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing 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

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

  1. Pooled it
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  5. Metabolic Response to CDK4/6 Inhibition in ER+ Breast Cancer Creates a Therapeutic Vulnerability in Drug-Tolerant Persister Cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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86 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

8 authors.

Yoko S DeRoseDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Keith M Gligorich
Guoying Wang
Ann Georgelas
Paulette Bowman
Samir J Courdy
Alana L Welm
Bryan E Welm

Funding

Identification of Novel Cancer Selective Compounds in 3D Tumor Organoid AssaysR01CA140296 · NCI · UNIVERSITY OF UTAH · PI SIGMAN, MATTHEW S · 2009 to 2013
$1.5M
Analysis of the Cellular Origins of Breast CancerR01CA143815 · NCI · UNIVERSITY OF UTAH · PI WELM, BRYAN E. · 2010 to 2014
$1.5M
NCI NIH HHS CA140296NCI NIH HHS CA143815NCI NIH HHS R01 CA140296NCI NIH HHS R01 CA143815
6 · The paper itself

Abstract

Research models that replicate the diverse genetic and molecular landscape of breast cancer are critical for developing the next-generation therapeutic entities that can target specific cancer subtypes. Patient-derived tumorgrafts, generated by transplanting primary human tumor samples into immune-compromised mice, are a valuable method to model the clinical diversity of breast cancer in mice, and are a potential resource in personalized medicine. Primary tumorgrafts also enable in vivo testing of therapeutics and make possible the use of patient cancer tissue for in vitro screens. Described in this unit are a variety of protocols including tissue collection, biospecimen tracking, tissue processing, transplantation, and three-dimensional culturing of xenografted tissue, which enable use of bona fide uncultured human tissue in designing and validating cancer therapies.

Indexed as

Disease Models, AnimalAnimalsBreast NeoplasmsFemaleHumansMiceNeoplasm TransplantationSpecimen HandlingTranslational Research, BiomedicalTransplantation, Heterologous

Identifiers

PMID23456611
PMCPMC3630511

What OpenQuestion holds

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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.