Evidence map›Paper›PMID 25783201›Full record

ReviewBiochimica et biophysica acta2015

Prioritizing therapeutic targets using patient-derived xenograft models.

K A Lodhia, A M Hadley, P Haluska, C L Scott

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Patient-Derived Xenograft Models for Endometrial Cancer Research.International journal of molecular sciences · 2018
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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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.

K A LodhiaDepartment of Oncology, Mayo Clinic, Rochester, MN, USA.
A M HadleyStem Cells and Cancer Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia.
P HaluskaDepartment of Oncology, Mayo Clinic, Rochester, MN, USA.
C L ScottStem Cells and Cancer Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia. Electronic address: scottc@wehi.edu.au.

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 P50 CA136393NCI NIH HHS R01 CA184502
6 · The paper itself

Abstract

Effective systemic treatment of cancer relies on the delivery of agents with optimal therapeutic potential. The molecular age of medicine has provided genomic tools that can identify a large number of potential therapeutic targets in individual patients, heralding the promise of personalized treatment. However, determining which potential targets actually drive tumor growth and should be prioritized for therapy is challenging. Indeed, reliable molecular matches of target and therapeutic agent have been stringently validated in the clinic for only a small number of targets. Patient-derived xenografts (PDXs) are tumor models developed in immunocompromised mice using tumor procured directly from the patient. As patient surrogates, PDX models represent a powerful tool for addressing individualized therapy. Challenges include humanizing the immune system of PDX models and ensuring high quality molecular annotation, in order to maximize insights for the clinic. Importantly, PDX can be sampled repeatedly and in parallel, to reveal clonal evolution, which may predict mechanisms of drug resistance and inform therapeutic strategy design.

Indexed as

Xenograft Model Antitumor AssaysAnimalsDisease Models, AnimalDrug Resistance, NeoplasmHumansMiceNeoplasmsPrecision MedicineGenomicsPatient-derived xenograftsPersonalized medicineTargeted therapyTherapeutic targets

Identifiers

PMID25783201
PMCPMC4433556

What OpenQuestion holds

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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.