Evidence map›Paper›PMID 28451789›Full record

ReviewJournal of mammary gland biology and neoplasia2017

Current Update of Patient-Derived Xenograft Model for Translational Breast Cancer Research.

Tsutomu Kawaguchi, Barbara A Foster, Jessica Young, Kazuaki Takabe

Abstract readReview
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Large Animal Models of Breast Cancer.Frontiers in oncology · 2022
    Review
  6. Evolution and Self-renewal of the Journal of Mammary Gland Biology and Neoplasia.Journal of mammary gland biology and neoplasia · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Patient-Derived Xenograft Models in Breast Cancer Research.Advances in experimental medicine and biology · 2021
    Review
  12. Conflicting roles ofAmerican journal of cancer research · 2021
    Article
  13. Article
  14. Organoid of ovarian cancer: genomic analysis and drug screening.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Review
  15. Article
  16. Article
  17. Regulation of hypoxia-inducible factor functions in the nucleus by sphingosine-1-phosphate.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  18. Article
  19. Article
  20. Article
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

4 authors at 2 institutions in 1 country.

Tsutomu KawaguchiDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Cancer Institute, Elm & Carlton Streets, Buffalo, NY, 14263, USA.
Barbara A FosterDepartment of Molecular Pharmacology and Cancer Therapeutics, Roswell Park Cancer Institute, Buffalo, NY, 14263, USA.
Jessica YoungDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Cancer Institute, Elm & Carlton Streets, Buffalo, NY, 14263, USA.
Kazuaki TakabeDivision of Breast Surgery, Department of Surgical Oncology, Roswell Park Cancer Institute, Elm & Carlton Streets, Buffalo, NY, 14263, USA. kazuaki.takabe@roswellpark.org.
Roswell Park Comprehensive Cancer Center · USUniversity at Buffalo, State University of New York · US

Funding

Sphingosine-1 Phosphate in Breast Cancer Progression and LymphangiogenesisR01CA160688 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI TAKABE, KAZUAKI · 2012 to 2016
$1.5M
NCI NIH HHS R01 CA160688
6 · The paper itself

Abstract

Despite recent advances in the treatment of patients with breast cancer (BrCa), BrCa remains the third leading cause of cancer death for women in the US due to intrinsic or acquired resistance to therapy. Continued understanding of gene expression profiling and genomic sequencing has clarified underlying intratumoral molecular heterogeneity. Recently, the patient-derived xenograft (PDX) models have emerged as a novel tool to address the issues of BrCa genomics and tumor heterogeneity, and to critically transform translational BrCa research in the preclinical setting. PDX models are generated by xenografting cancer tissue fragments obtained from patients to immune deficient mice, and can be passaged into next generations of mice. Generally, in contrast to conventional xenograft using cancer cell lines, PDXs are biologically more stable and recapitulate the individual tumor morphology, gene expression, and drug susceptibility of each patient. PDX may better model the original patient's tumor by retaining tumor heterogeneity, gene expression, and similar response to treatment. PDX models are thus thought to be more translationally relevant, especially as a drug development tool, because PDXs can capture the genetic character and heterogeneity that exists within a single patient's tumor and across a population of patients' tumors. PDX models also hold enormous potential for identifying predictive markers for therapeutic response. It has been repeatedly shown that PDX models demonstrate similar levels of activity as compared to the clinical response to therapeutic interventions. Therefore, this enables identification of therapeutic interventions that can most likely benefit a patient. This allows us to address the issues of BrCa genomics and tumor heterogeneity using PDXs in "pre-clinical" trials. Herein, we reviewed recent scientific development and future perspectives using PDX models in BrCa.

Indexed as

Drug Evaluation, PreclinicalTranslational Research, BiomedicalAnimalsAntineoplastic AgentsBreast NeoplasmsDisease Models, AnimalFemaleHumansAntineoplastic AgentsBreast cancerPatient-derived xenograft modelPreclinical modelTranslational research

Identifiers

PMID28451789
PMCPMC5511343
OpenAlexW2608685060

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.