Evidence map›Paper›PMID 26408297›Full record

ReviewChinese clinical oncology2015

Molecular and clinical implementations of ovarian cancer mouse avatar models.

Amira A Zayed, Sumithra J Mandrekar, Paul Haluska

Abstract readReview
In one paragraph

Review in Chinese clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Spontaneous and Induced Animal Models for Cancer Research.Diagnostics (Basel, Switzerland) · 2020
    Review
  6. Future Perspective of Diabetic Animal Models.Endocrine, metabolic & immune disorders drug targets · 2020
    Review
  7. Article
  8. Patient-derived xenografts for childhood solid tumors: a valuable tool to test new drugs and personalize treatments.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
    Review
  9. 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

3 authors.

Amira A ZayedDepartment of Oncology, Mayo Clinic, Rochester, MN 55905, USA.
Sumithra J MandrekarDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA.
Paul HaluskaDivision of Medical Oncology, Mayo Clinic College of Medicine, 200 First St. SW, Rochester, MN 55905, USA. haluska.paul@mayo.edu.

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
(PQD5) Avatar-directed Treatment for Ovarian CancerR01CA184502 · NCI · MAYO CLINIC ROCHESTER · PI WEROHA, SARAVUT · 2014 to 2017
$2.7M
NCI NIH HHS CA136393NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA184502
6 · The paper itself

Abstract

Innovation in oncology drug development has been hindered by lack of preclinical models that reliably predict clinical activity of novel therapies in cancer patients. Increasing desire for individualize treatment of patients with cancer has led to an increase in the use of patient-derived xenografts (PDX) engrafted into immune-compromised mice for preclinical modeling. Large numbers of tumor-specific PDX models have been established and proved to be powerful tools in pre-clinical testing. A subset of PDXs, referred to as Avatars, establish tumors in an orthotopic and treatment naïve fashion that may represent the most clinical relevant model of individual human cancers. This review will discuss ovarian cancer (OC) PDX models demonstrating the opportunities and limitations of these models in cancer drug development, and describe concepts of clinical trials design in Avatar guided therapy.

Indexed as

Xenograft Model Antitumor AssaysAnimalsClinical Trials as TopicDrug DiscoveryFemaleHumansMiceMolecular Targeted TherapyOvarian NeoplasmsPrecision MedicineResearch Designclinical trial designmodel systemsOvarian cancer (OC)patient-derived xenografts (PDX)personalized medicinexenograft models

Identifiers

PMID26408297
PMCPMC4750944

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.