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Rafalko JM, Kruglyak KM, McCleary-Wheeler AL, Goyal V, Phelps-Dunn A, Wong LK, Warren CD, Brandstetter G, Rosentel MC, DiMarzio L, McLennan LM, O’Kell AL, Cohen TA, Grosu DS, Chibuk J, Tsui DWY, Chorny I, Flory A. Age at cancer diagnosis by breed, weight, sex, and cancer type in a cohort of more than 3,000 dogs: Determining the optimal age to initiate cancer screening in canine patients. PLoS One 2023; 18:e0280795. [PMID: 36724177 PMCID: PMC9891508 DOI: 10.1371/journal.pone.0280795] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/09/2023] [Indexed: 02/02/2023] Open
Abstract
The goal of cancer screening is to detect disease at an early stage when treatment may be more effective. Cancer screening in dogs has relied upon annual physical examinations and routine laboratory tests, which are largely inadequate for detecting preclinical disease. With the introduction of non-invasive liquid biopsy cancer detection methods, the discussion is shifting from how to screen dogs for cancer to when to screen dogs for cancer. To address this question, we analyzed data from 3,452 cancer-diagnosed dogs to determine the age at which dogs of certain breeds and weights are typically diagnosed with cancer. In our study population, the median age at cancer diagnosis was 8.8 years, with males diagnosed at younger ages than females, and neutered dogs diagnosed at significantly later ages than intact dogs. Overall, weight was inversely correlated with age at cancer diagnosis, and purebred dogs were diagnosed at significantly younger ages than mixed-breed dogs. For breeds represented by ≥10 dogs, a breed-based median age at diagnosis was calculated. A weight-based linear regression model was developed to predict the median age at diagnosis for breeds represented by ≤10 dogs and for mixed-breed dogs. Our findings, combined with findings from previous studies which established a long duration of the preclinical phase of cancer development in dogs, suggest that it might be reasonable to consider annual cancer screening starting 2 years prior to the median age at cancer diagnosis for dogs of similar breed or weight. This logic would support a general recommendation to start cancer screening for all dogs at the age of 7, and as early as age 4 for breeds with a lower median age at cancer diagnosis, in order to increase the likelihood of early detection and treatment.
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Affiliation(s)
- Jill M. Rafalko
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
- * E-mail:
| | - Kristina M. Kruglyak
- Information Technology & Bioinformatics, PetDx, La Jolla, California, United States of America
| | | | - Vidit Goyal
- Information Technology & Bioinformatics, PetDx, La Jolla, California, United States of America
| | - Ashley Phelps-Dunn
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Lilian K. Wong
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Chelsea D. Warren
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Gina Brandstetter
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Michelle C. Rosentel
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Lauren DiMarzio
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Lisa M. McLennan
- Clinical Studies, PetDx, La Jolla, California, United States of America
| | - Allison L. O’Kell
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Todd A. Cohen
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Daniel S. Grosu
- Chief Executive Officer, PetDx, La Jolla, California, United States of America
| | - Jason Chibuk
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
| | - Dana W. Y. Tsui
- Research & Development, PetDx, La Jolla, California, United States of America
| | - Ilya Chorny
- Information Technology & Bioinformatics, PetDx, La Jolla, California, United States of America
| | - Andi Flory
- Medical & Clinical Affairs, PetDx, La Jolla, California, United States of America
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Clinical validation of a next-generation sequencing-based multi-cancer early detection "liquid biopsy" blood test in over 1,000 dogs using an independent testing set: The CANcer Detection in Dogs (CANDiD) study. PLoS One 2022; 17:e0266623. [PMID: 35471999 PMCID: PMC9041869 DOI: 10.1371/journal.pone.0266623] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/23/2022] [Indexed: 12/11/2022] Open
Abstract
Cancer is the leading cause of death in dogs, yet there are no established screening paradigms for early detection. Liquid biopsy methods that interrogate cancer-derived genomic alterations in cell-free DNA in blood are being adopted for multi-cancer early detection in human medicine and are now available for veterinary use. The CANcer Detection in Dogs (CANDiD) study is an international, multi-center clinical study designed to validate the performance of a novel multi-cancer early detection “liquid biopsy” test developed for noninvasive detection and characterization of cancer in dogs using next-generation sequencing (NGS) of blood-derived DNA; study results are reported here. In total, 1,358 cancer-diagnosed and presumably cancer-free dogs were enrolled in the study, representing the range of breeds, weights, ages, and cancer types seen in routine clinical practice; 1,100 subjects met inclusion criteria for analysis and were used in the validation of the test. Overall, the liquid biopsy test demonstrated a 54.7% (95% CI: 49.3–60.0%) sensitivity and a 98.5% (95% CI: 97.0–99.3%) specificity. For three of the most aggressive canine cancers (lymphoma, hemangiosarcoma, osteosarcoma), the detection rate was 85.4% (95% CI: 78.4–90.9%); and for eight of the most common canine cancers (lymphoma, hemangiosarcoma, osteosarcoma, soft tissue sarcoma, mast cell tumor, mammary gland carcinoma, anal sac adenocarcinoma, malignant melanoma), the detection rate was 61.9% (95% CI: 55.3–68.1%). The test detected cancer signal in patients representing 30 distinct cancer types and provided a Cancer Signal Origin prediction for a subset of patients with hematological malignancies. Furthermore, the test accurately detected cancer signal in four presumably cancer-free subjects before the onset of clinical signs, further supporting the utility of liquid biopsy as an early detection test. Taken together, these findings demonstrate that NGS-based liquid biopsy can offer a novel option for noninvasive multi-cancer detection in dogs.
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Veldman A, Kiewiet MBG, Heiner-Fokkema MR, Nelen MR, Sinke RJ, Sikkema-Raddatz B, Voorhoeve E, Westra D, Dollé MET, Schielen PCJI, van Spronsen FJ. Towards Next-Generation Sequencing (NGS)-Based Newborn Screening: A Technical Study to Prepare for the Challenges Ahead. Int J Neonatal Screen 2022; 8:17. [PMID: 35323196 PMCID: PMC8949100 DOI: 10.3390/ijns8010017] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/28/2022] [Accepted: 02/08/2022] [Indexed: 01/27/2023] Open
Abstract
Newborn screening (NBS) aims to identify neonates with severe conditions for whom immediate treatment is required. Currently, a biochemistry-first approach is used to identify these disorders, which are predominantly inherited meta1bolic disorders (IMD). Next-generation sequencing (NGS) is expected to have some advantages over the current approach, for example the ability to detect IMDs that meet all screening criteria but lack an identifiable biochemical footprint. We have now designed a technical study to explore the use of NGS techniques as a first-tier approach in NBS. Here, we describe the aim and set-up of the NGS-first for the NBS (NGSf4NBS) project, which will proceed in three steps. In Step 1, we will identify IMDs eligible for NGS-first testing, based on treatability. In Step 2, we will investigate the feasibility, limitations and comparability of different technical NGS approaches and analysis workflows for NBS, eventually aiming to develop a rapid NGS-based workflow. Finally, in Step 3, we will prepare for the incorporation of this workflow into the existing Dutch NBS program and propose a protocol for referral of a child after a positive NGS test result. The results of this study will be the basis for an additional analytical route within NBS that will be further studied for its applicability within the NBS program, e.g., regarding the ethical, legal, financial and social implications.
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Affiliation(s)
- Abigail Veldman
- Division of Metabolic Diseases, Beatrix Children’s Hospital, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Mensiena B. G. Kiewiet
- Division of Metabolic Diseases, Beatrix Children’s Hospital, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (R.J.S.); (B.S.-R.)
| | - Margaretha Rebecca Heiner-Fokkema
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Marcel R. Nelen
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands; (M.R.N.); (D.W.)
| | - Richard J. Sinke
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (R.J.S.); (B.S.-R.)
| | - Birgit Sikkema-Raddatz
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (R.J.S.); (B.S.-R.)
| | - Els Voorhoeve
- Centre for Health Protection, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands; (E.V.); (M.E.T.D.)
| | - Dineke Westra
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands; (M.R.N.); (D.W.)
| | - Martijn E. T. Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands; (E.V.); (M.E.T.D.)
| | - Peter C. J. I. Schielen
- Centre for Population Screening, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands;
| | - Francjan J. van Spronsen
- Division of Metabolic Diseases, Beatrix Children’s Hospital, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
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