Evidence map›Paper›PMID 30845999›Full record

ArticleBMC cancer2019

Drug resistance profiling of a new triple negative breast cancer patient-derived xenograft model.

Margarite D Matossian, Hope E Burks, Steven Elliott, Van T Hoang, Annie C Bowles, Rachel A Sabol, Bahia Wahba, Muralidharan Anbalagan, Brian Rowan, Mohamed E Abazeed and 8 more

Abstract read
In one paragraph

Article in BMC cancer, 2019. 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. Review
  3. Article
  4. Article
  5. The Power and Promise of Patient-Derived Xenografts of Human Breast Cancer.Cold Spring Harbor perspectives in medicine · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Addressing Patient Specificity in the Engineering of Tumor Models.Frontiers in bioengineering and biotechnology · 2019
    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

18 authors.

Margarite D MatossianDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Hope E BurksDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Steven ElliottDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Van T HoangDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Annie C BowlesTulane Center for Stem Cell Research and Regenerative Medicine, New Orleans, LA, USA.
Rachel A SabolTulane Center for Stem Cell Research and Regenerative Medicine, New Orleans, LA, USA.
Bahia WahbaDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Muralidharan AnbalaganDepartment of Structural and Cellular Biology, Tulane University, New Orleans, LA, USA.
Brian RowanDepartment of Structural and Cellular Biology, Tulane University, New Orleans, LA, USA.
Mohamed E AbazeedCleveland Clinic, Department of Radiation Oncology, Cleveland, OH, USA.
Bruce A BunnellDepartment of Pharmacology, Tulane University School of Medicine, New Orleans, LA, USA.
Krzysztof MorozDepartment of Pathology, Tulane University School of Medicine, New Orleans, LA, USA.
Lucio MieleDepartment of Genetics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Lyndsay V RhodesDepartment of Biology, Florida Gulf Coast University, Fort Myers, FL, USA.
Steven D JonesTulane Cancer Center, New Orleans, LA, USA.
Elizabeth C MartinDepartment of Agricultural Engineering, Louisiana State University, Baton Rouge, LA, USA.
Bridgette M Collins-BurowDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA.
Matthew E BurowDepartment of Medicine, Section of Hematology & Medical Oncology, Tulane University School of Medicine, New Orleans, LA, USA. mburow@tulane.edu.

Funding

Tulane NPRC SPF Sheltered Outdoor Enclosure ExpansionP51OD011104 · OD · TULANE UNIVERSITY OF LOUISIANA · PI L Lee HAMM · 2012 to 2026
$142.4M
Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Kinase mediated suppression of metastasis in breast cancerR01CA174785 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI COLLINS-BUROW, BRIDGETTE MICHELLE · 2016 to 2020
$1.8M
MEK5-Erk5 in breast cancer resistanceR01CA125806 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI BUROW, MATTHEW E. · 2010 to 2014
$1.5M
NCI NIH HHS R01 CA125806NCI NIH HHS R01 CA174785NIGMS NIH HHS U54 GM104940NIH HHS P51 OD011104
6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) represents an aggressive subtype with limited therapeutic options. Experimental preclinical models that recapitulate their tumors of origin can accelerate target identification, thereby potentially improving therapeutic efficacy. Patient-derived xenografts (PDXs), due to their genomic and transcriptomic fidelity to the tumors from which they are derived, are poised to improve the preclinical testing of drug-target combinations in translational models. Despite the previous development of breast and TNBC PDX models, those derived from patients with demonstrated health-disparities are lacking.

methodsWe use an aggressive TNBC PDX model propagated in SCID/Beige mice that was established from an African-American woman, TU-BcX-2 K1, and assess its metastatic potential and drug sensitivities under distinct in vitro conditions. Cellular derivatives of the primary tumor or the PDX were grown in 2D culture conditions or grown in mammospheres 3D culture. Flow cytometry and fluorescence staining was used to quantify cancer stem cell-like populations. qRT-PCR was used to describe the mesenchymal gene signature of the tumor. The sensitivity of TU-BcX-2 K1-derived cells to anti-neoplastic oncology drugs was compared in adherent cells and mammospheres. Drug response was evaluated using a live/dead staining kit and crystal violet staining.

resultsTU-BcX-2 K1 has a low propensity for metastasis, reflects a mesenchymal state, and contains a large burden of cancer stem cells. We show that TU-BcX-2 K1 cells have differential responses to cytotoxic and targeted therapies in 2D compared to 3D culture conditions insofar as several drug classes conferred sensitivity in 2D but not in 3D culture, or cells grown as mammospheres.

conclusionsHere we introduce a new TNBC PDX model and demonstrate the differences in evaluating drug sensitivity in adherent cells compared to mammosphere, or suspension, culture.

Indexed as

AnimalsAntineoplastic AgentsBiomarkersCell Line, TumorDisease Models, AnimalDrug Resistance, NeoplasmFemaleFluorescent Antibody TechniqueHistone Deacetylase InhibitorsHumansImmunohistochemistryMiceNeoplastic Stem CellsTriple Negative Breast NeoplasmsTumor Cells, CulturedXenograft Model Antitumor AssaysAntineoplastic AgentsBiomarkersHistone Deacetylase InhibitorsChemoresistanceMammospherePatient-derived xenograftTriple-negative breast cancer

Identifiers

PMID30845999
PMCPMC6407287

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Registered trials

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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.