Next-generation sequencing-based liquid biopsy may be used for detection of residual disease and cancer recurrence monitoring in dogs.

cancer monitoring cancer recurrence dog liquid biopsy residual disease

Journal

American journal of veterinary research
ISSN: 1943-5681
Titre abrégé: Am J Vet Res
Pays: United States
ID NLM: 0375011

Informations de publication

Date de publication:
28 Dec 2023
Historique:
received: 07 07 2023
accepted: 09 12 2023
medline: 28 12 2023
pubmed: 28 12 2023
entrez: 27 12 2023
Statut: aheadofprint

Résumé

The purpose of this study was to evaluate the performance of a next-generation sequencing-based liquid biopsy test for cancer monitoring in dogs. Pre- and postoperative blood samples were collected from dogs with confirmed cancer diagnoses originally enrolled in the CANcer Detection in Dogs (CANDiD) study. A subset of dogs also had longitudinal blood samples collected for recurrence monitoring. All cancer-diagnosed patients had a preoperative blood sample in which a cancer signal was detected and had at least 1 postoperative sample collected. Clinical data were used to assign a clinical disease status for each follow-up visit. Following excisional surgery, in the absence of clinical residual disease at the postoperative visit, patients with Cancer Signal Detected results at that visit were 1.94 times as likely (95% CI, 1.21 to 3.12; P = .013) to have clinical recurrence within 6 months compared to patients with Cancer Signal Not Detected results. In the subset of patients with longitudinal liquid biopsy samples that had clinical recurrence documented during the study period, 82% (9/11; 95% CI, 48% to 97%) had Cancer Signal Detected in blood prior to or concomitant with clinical recurrence; in the 6 patients where molecular recurrence was detected prior to clinical recurrence, the median lead time was 168 days (range, 47 to 238). Next-generation sequencing-based liquid biopsy is a noninvasive tool that may offer utility as an adjunct to current standard-of-care clinical assessment for cancer monitoring; further studies are needed to confirm diagnostic accuracy in a larger population.

Identifiants

pubmed: 38150822
doi: 10.2460/ajvr.23.07.0163
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Auteurs

Angela L McCleary-Wheeler (AL)

Research Programs, PetDx, La Jolla, CA.

Patrick C Fiaux (PC)

Information Technology, PetDx, La Jolla, CA.

Brian K Flesner (BK)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Carlos A Ruiz-Perez (CA)

Information Technology, PetDx, La Jolla, CA.

Lisa M McLennan (LM)

Research Programs, PetDx, La Jolla, CA.

John A Tynan (JA)

Research Programs, PetDx, La Jolla, CA.

Susan C Hicks (SC)

Analytical Production, PetDx, La Jolla, CA.

Jill M Rafalko (JM)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Daniel S Grosu (DS)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Jason Chibuk (J)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Allison L O'Kell (AL)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Todd A Cohen (TA)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Ilya Chorny (I)

Information Technology, PetDx, La Jolla, CA.

Dana W Y Tsui (DWY)

Research Programs, PetDx, La Jolla, CA.

Kristina M Kruglyak (KM)

Information Technology, PetDx, La Jolla, CA.

Andi Flory (A)

Medical and Clinical Affairs, PetDx, La Jolla, CA.

Classifications MeSH