Circulating <scp>microRNA</scp> signatures of cachexia and cancer in <i>Canis familiaris</i> as a comparative oncology model for human disease

Cachexia, a severe muscle-wasting syndrome, lacks objective biomarkers for early detection. This study aimed to identify circulating microRNA signatures for cachexia and cancer in senior dogs, a comparative oncology model for human disease. Serum microRNA expression was quantified in a cohort of 25 dogs, clinically classified by cachexia and cancer status. We identified a distinct signature for cachexia, with significant downregulation of miR-15a, miR-15b, miR-16, and miR-140. Circulating miR-16 emerged as the most robust individual biomarker for cachexia (AUC = 0.899). Furthermore, a sex-specific analysis revealed that miR-140 was significantly lower in female dogs with cancer compared to noncancer controls (P = 0.045), consistent with a sex- and disease-specific dual suppression mechanism involving estrogen receptor signaling and cachexia-driven systemic inflammation (corrected AUC = 0.667). These findings suggest circulating microRNAs as promising, noninvasive biomarkers for canine cachexia and highlight miR-140 as a candidate sex-specific biomarker for female cancers, warranting validation in larger cohorts. This work reinforces the value of the domestic dog as a spontaneous model for translational biomarker discovery.

Authors

Institutions

Publication Details

Journal
Molecular Oncology
Published
2026-07-22
DOI
https://doi.org/10.1002/1878-0261.70293
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Soo-Nyun Choi, Soon-Seok Park, Kyongman An, Keun Hur et al.
Molecular Oncology
MicroRNA in disease regulation
article

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Soo-Nyun Choi, Soon-Seok Park, Kyongman An, Keun Hur, Kyu‐Shik Jeong, G M Kim, Hong‐Ki Lee
article en

Abstract

Cachexia, a severe muscle-wasting syndrome, lacks objective biomarkers for early detection. This study aimed to identify circulating microRNA signatures for cachexia and cancer in senior dogs, a comparative oncology model for human disease. Serum microRNA expression was quantified in a cohort of 25 dogs, clinically classified by cachexia and cancer status. We identified a distinct signature for cachexia, with significant downregulation of miR-15a, miR-15b, miR-16, and miR-140. Circulating miR-16 emerged as the most robust individual biomarker for cachexia (AUC = 0.899). Furthermore, a sex-specific analysis revealed that miR-140 was significantly lower in female dogs with cancer compared to noncancer controls (P = 0.045), consistent with a sex- and disease-specific dual suppression mechanism involving estrogen receptor signaling and cachexia-driven systemic inflammation (corrected AUC = 0.667). These findings suggest circulating microRNAs as promising, noninvasive biomarkers for canine cachexia and highlight miR-140 as a candidate sex-specific biomarker for female cancers, warranting validation in larger cohorts. This work reinforces the value of the domestic dog as a spontaneous model for translational biomarker discovery.

Molecular Oncology
Daegu Haany University (KR), Hoseo University (KR), Kyungpook National University (KR), Daegu TechnoPark (KR), Bio-Medical Science (South Korea) (KR), CHA University (KR)
Good health and well-being
Openalex Percentile: Top 11%
MicroRNA in disease regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.