A single nucleotide polymorphism genotyping platform for the authentication of patient derived xenografts

التفاصيل البيبلوغرافية
العنوان: A single nucleotide polymorphism genotyping platform for the authentication of patient derived xenografts
المؤلفون: Cara E. Toscan, Kathryn Evans, Hyunjoo Lee, Rosemary Sutton, Mitchell G. Lawrence, Jinhan Xie, Duohui Jing, Richard B. Lock, Karen L. MacKenzie, Gail P. Risbridger, Jad El-Hoss, Renea A. Taylor
المصدر: Oncotarget
بيانات النشر: Impact Journals, LLC, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Male, 0301 basic medicine, Oncology, medicine.medical_specialty, R studio, Genotype, Lymphoblastic Leukemia, patient derived xenografts, Single-nucleotide polymorphism, Mice, SCID, Sarcoma, Ewing, Bioinformatics, Chimerism, Polymorphism, Single Nucleotide, OpenArray, Discriminatory power, Mice, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Cell Line, Tumor, Internal medicine, Animals, Humans, Medicine, 1112 Oncology and Carcinogenesis, Genotyping, Biomedicine, Chromosome Aberrations, Authentication, business.industry, High-Throughput Nucleotide Sequencing, Prostatic Neoplasms, Precursor Cell Lymphoblastic Leukemia-Lymphoma, medicine.disease, Xenograft Model Antitumor Assays, 3. Good health, SNP genotyping, 030104 developmental biology, Tissue Array Analysis, 030220 oncology & carcinogenesis, authentication, Female, business, Research Paper
الوصف: // Jad El-Hoss 1, * , Duohui Jing 1, * , Kathryn Evans 1 , Cara Toscan 1 , Jinhan Xie 1 , Hyunjoo Lee 1 , Renea A. Taylor 2 , Mitchell G. Lawrence 3 , Gail P. Risbridger 3 , Karen L. MacKenzie 1 , Rosemary Sutton 1 , Richard B. Lock 1 1 Children’s Cancer Institute, Lowy Cancer Research Centre, Sydney, UNSW, Australia 2 Prostate Research Group, Department of Physiology, Biomedicine Discovery Institute, Monash Partners Comprehensive Cancer Consortium, Monash University, Clayton, VIC, Australia 3 Prostate Research Group, Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash Partners Comprehensive Cancer Consortium, Monash University, Clayton, VIC, Australia * These authors have contributed equally to this work Correspondence to: Richard B. Lock, email: rlock@ccia.unsw.edu.au Keywords: SNP genotyping, patient derived xenografts, authentication, OpenArray, R studio Received: December 06, 2015 Accepted: July 26, 2016 Published: August 09, 2016 ABSTRACT Patient derived xenografts (PDXs) have become a vital, frequently used, component of anti-cancer drug development. PDXs can be serially passaged in vivo for years, and shared across laboratories. As a consequence, the potential for mis-identification and cross-contamination is possible, yet authentication of PDXs appears limited. We present a PDX Authentication System (PAS), by combining a commercially available OpenArray assay of single nucleotide polymorphisms (SNPs) with in-house R studio programs, to validate PDXs established in individual mice from acute lymphoblastic leukemia biopsies. The PAS is sufficiently robust to identify contamination at levels as low as 3%, similar to the gold standard of short tandem repeat (STR) profiling. We have surveyed a panel of PDXs established from 73 individual leukemia patients, and found that the PAS provided sufficient discriminatory power to identify each xenograft. The identified SNP-discrepant PDXs demonstrated distinct gene expression profiles, indicating a risk of contamination for PDXs at high passage number. The PAS also allows for the authentication of tumor cells with complex karyotypes from solid tumors including prostate cancer and Ewing’s sarcoma. This study highlights the demands of authenticating PDXs for cancer research, and evaluates a reliable authentication platform that utilizes a commercially available and cost-effective system.
وصف الملف: Print; application/pdf
تدمد: 1949-2553
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfcc502b37c79123bcbab6b007061515
https://doi.org/10.18632/oncotarget.11125
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....dfcc502b37c79123bcbab6b007061515
قاعدة البيانات: OpenAIRE