Evidence map›Paper›PMID 28945830›Full record

ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2017

Patient-derived xenografts effectively capture responses to oncology therapy in a heterogeneous cohort of patients with solid tumors.

E Izumchenko, K Paz, D Ciznadija, I Sloma, A Katz, D Vasquez-Dunddel, I Ben-Zvi, J Stebbing, W McGuire, W Harris and 14 more

Registry-linked trialOpen access · bronzeAbstract readCase Reports
In one paragraph

Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03551457 (Potential Therapeutic Response In Urogenital Tumors), which is not on this map. Cited by 219 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 2 pooled it
11.4field-weighted citation impact, top 1% 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.

NCT03551457 completednot on this mapstarted 2019, after this paper: background citation

Potential Therapeutic Response In Urogenital Tumors: Ex-Ovo Avian Embryo Patient Avatar

Typeobservational_patient_registrySponsorUniversity of Campinas, BrazilRan2019 to 2022Enrolled30ConditionsUrogenital Neoplasms, Drug TherapyArmsBiopsy
3 · Its place in the literature

Who cites it

219 citing papers in PubMed, 2 syntheses or guidelines pooled it, 335 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  4. Trial
  5. Ewing Sarcoma PDX Models.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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  9. Review
  10. Article
  11. Article
  12. Review
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  16. Choosing the right animal model for sarcoma research.Cellular and molecular life sciences : CMLS · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. Review

159 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 12 institutions in 3 countries.

E IzumchenkoDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, R&D, Baltimore.
K PazChampions Oncology, R&D, Baltimore, USA.
D CiznadijaChampions Oncology, R&D, Baltimore, USA.
I SlomaChampions Oncology, R&D, Baltimore, USA.
A KatzChampions Oncology, R&D, Baltimore, USA.
D Vasquez-DunddelChampions Oncology, R&D, Baltimore, USA.
I Ben-ZviChampions Oncology, R&D, Baltimore, USA.
J StebbingDepartment of Surgery & Cancer, Imperial College, London, UK.
W McGuireDepartment of Internal Medicine, Division of Hematology/Oncology, Virginia Commonwealth University, Massey Cancer Center, Virginia Commonwealth University, Richmond.
W HarrisDepartment of Medicine, Division of Oncology, University of Washington, Seattle.
R MakiDepartment of Pediatric Hematology Oncology, Mount Sinai School of Medicine, New York, USA.
A GayaGuy's and St Thomas' Cancer Center, London.
A BediDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, R&D, Baltimore.
S ZacharoulisDepartment of Pediatric Oncology, The Royal Marsden Hospital, Harley Street Clinic, Sutton, UK.
R RaviDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, R&D, Baltimore.
L H WexlerDepartment of Pediatrics, Memorial Sloan-Kettering Cancer Center, New York.
M O HoqueDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, R&D, Baltimore.
C Rodriguez-GalindoDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Boston.
H PassDepartment of Cardiothoracic Surgery, New York University Langone Medical Center, New York, USA.
N PeledResearch and Detection Unit for Thoracic malignancies, Sheba Medical Center, Tel Aviv, Israel.
A DaviesChampions Oncology, R&D, Baltimore, USA.
R MorrisChampions Oncology, R&D, Baltimore, USA.
M HidalgoDivision of Hematology-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
D SidranskyDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, R&D, Baltimore. Electronic address: dsidrans@jhmi.edu.
Champions Oncology (United States) · USJohns Hopkins University · USBoston University · USDana-Farber Cancer Institute · USIcahn School of Medicine at Mount Sinai · USImperial College London · GBMemorial Sloan Kettering Cancer Center · USNYU Langone Health · USRoyal Marsden Hospital · GBSheba Medical Center · ILUniversity of Washington · USVirginia Commonwealth University · US

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
TUMOR SUPPRESOR GENE PROMOTER HYPERMETHYLATION FOR DETECTION OF HEAD AND NECKP50DE019032 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI SIDRANSKY, DAVID · 2007 to 2016
$27.1M
Discovery and Characterization of Methylation MarkersR01CA163594 · NCI · JOHNS HOPKINS UNIVERSITY · PI SIDRANSKY, DAVID · 2012 to 2016
$1.8M
Department of Health NIHR-RP-011-053NCI NIH HHS P30 CA045508NCI NIH HHS R01 CA163594NIDCR NIH HHS P50 DE019032
6 · The paper itself

Abstract

backgroundWhile patient-derived xenografts (PDXs) offer a powerful modality for translational cancer research, a precise evaluation of how accurately patient responses correlate with matching PDXs in a large, heterogeneous population is needed for assessing the utility of this platform for preclinical drug-testing and personalized patient cancer treatment. PATIENTS AND

methodsTumors obtained from surgical or biopsy procedures from 237 cancer patients with a variety of solid tumors were implanted into immunodeficient mice and whole-exome sequencing was carried out. For 92 patients, responses to anticancer therapies were compared with that of their corresponding PDX models.

resultsWe compared whole-exome sequencing of 237 PDX models with equivalent information in The Cancer Genome Atlas database, demonstrating that tumorgrafts faithfully conserve genetic patterns of the primary tumors. We next screened PDXs established for 92 patients with various solid cancers against the same 129 treatments that were administered clinically and correlated patient outcomes with the responses in corresponding models. Our analysis demonstrates that PDXs accurately replicate patients' clinical outcomes, even as patients undergo several additional cycles of therapy over time, indicating the capacity of these models to correctly guide an oncologist to treatments that are most likely to be of clinical benefit.

conclusionsIntegration of PDX models as a preclinical platform for assessment of drug efficacy may allow a higher success-rate in critical end points of clinical benefit.

Indexed as

AdultAgedAnimalsCohort StudiesExome SequencingFemaleHumansMaleMiceMiddle AgedNeoplasmsNeoplasm TransplantationXenograft Model Antitumor Assayschemotherapypatient-derived xenograftPDXtranslational modeltumorgraft

Identifiers

PMID28945830
PMCPMC5834154
OpenAlexW2751733606

What OpenQuestion holds

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Registered trials

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.