Evidence map›Paper›PMID 28753786›Full record

ArticleEuropean urology focus2017

Tumor Xenografts of Human Clear Cell Renal Cell Carcinoma But Not Corresponding Cell Lines Recapitulate Clinical Response to Sunitinib: Feasibility of Using Biopsy Samples.

Yiyu Dong, Brandon J Manley, Maria F Becerra, Almedina Redzematovic, Jozefina Casuscelli, Daniel M Tennenbaum, Ed Reznik, Song Han, Nicole Benfante, Ying-Bei Chen and 16 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in European urology focus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

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  7. SMARCB1 regulates the hypoxic stress response in sickle cell trait.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

26 authors at 1 institution in 1 country.

Yiyu DongHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Brandon J ManleyUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Maria F BecerraHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Almedina RedzematovicGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jozefina CasuscelliUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Daniel M TennenbaumUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ed ReznikComputational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Song HanHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nicole BenfanteUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ying-Bei ChenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Maria E ArcilaComputational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Omer ArasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Martin H VossGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Darren R FeldmanGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Robert J MotzerGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nicola FabbriOrthopedics Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
John H HealeyOrthopedics Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Patrick J BolandOrthopedics Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mohit ChawlaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jeremy C DurackInterventional Radiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Chung-Han LeeGenitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jonathan A ColemanUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Paul RussoUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
A Ari HakimiUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Emily H ChengHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James J HsiehHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: hsiehj@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
UROLOGY ONCOLOGY RESEARCH TRAINING GRANTT32CA082088 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Brett Stewart Carver · 1999 to 2026
$7.1M
Integrated Analyses of Taspase 1 (MLL Cleaving Protease)R01CA119008 · NCI · WASHINGTON UNIVERSITY · PI HSIEH, JAMES J · 2006 to 2010
$1.3M
Molecular Mechanisms of Impaired DAN Damage Response in Leukemia PathogenesisR01CA138505 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HSIEH, JAMES J · 2013 to 2015
$1.0M
Genetic and Biochemical Analyses of MLL CleavageK01CA102594 · NCI · WASHINGTON UNIVERSITY · PI HSIEH, JAMES J-D · 2003 to 2007
$706k
NCI NIH HHS K01 CA102594NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA119008NCI NIH HHS R01 CA138505NCI NIH HHS T32 CA082088
6 · The paper itself

Abstract

backgroundParallel development of preclinical models that recapitulate treatment response observed in patients is central to the advancement of personalized medicine.

objectiveTo evaluate the use of biopsy specimens to develop patient-derived xenografts and the use of corresponding cell lines from renal cell carcinoma (RCC) tumors for the assessment of histopathology, genomics, and treatment response. DESIGN, SETTING, AND

participantsA total of 74 tumor specimens from 66 patients with RCC were implanted into immunocompromised NOD-SCID IL2Rg OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Preclinical models were established and assessed. Engraftment rates were analyzed using chi-square testing. Analysis of variance (two-way analysis of variance) was conducted to assess tumor growth. RESULTS AND LIMITATIONS: Overall, 33 RCC mouse xenograft models were generated with an overall engraftment rate of 45% (33 of 74). Tumor biopsies engrafted comparably with surgically resected tumors (58% vs 41%; p=0.3). Xenograft tumors and their original tumors showed high fidelity in regard to histology, mutation status, copy number change, and targeted therapy response. Engraftment rates from metastatic tumors were higher but not more significant than primary tumors (54% vs 34%; p=0.091). Our engraftment rate using metastases or biopsies was comparable with recent reports using resected primary tumors. In stark contrast to corresponding cell lines, all tested xenografts recapitulated patients' clinical response to sunitinib.

conclusionsPatient-derived xenograft models can be effectively established from tumor biopsies. Preclinical xenograft models but not matched cell lines reflected clinical responses to sunitinib. PATIENT SUMMARY: Matched patient-derived clear cell renal cell carcinoma xenografts and cell lines from responsive and refractory patients treated with sunitinib were established and evaluated for pharmacologic response to anti-vascular endothelial growth factor treatment. Both models accurately reflected the genetic characteristics of original tumors, but only xenografts recapitulated drug responses observed in patients. These models could serve as a powerful platform for precision medicine.

Indexed as

AgedAnimalsAntineoplastic AgentsBiopsy, NeedleCarcinoma, Renal CellCell Line, TumorFeasibility StudiesFemaleHeterograftsHumansKidneyKidney NeoplasmsMaleMice, Inbred NODMice, SCIDMiddle AgedAntineoplastic AgentsSunitinibBiopsyCancer cell linesPatient-derived xenograftsPrecision medicinePreclinical studiesRenal cell carcinomaSunitinib

Identifiers

PMID28753786
PMCPMC5608640
OpenAlexW2516966370

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.