Micro <scp>RNA</scp> s implicated in canine diffuse large B‐cell lymphoma prognosis

Diffuse large B‐cell lymphoma (DLBCL) is the most prevalent subtype of non‐Hodgkin lymphoma (NHL) in domestic dogs, with many similarities to its human counterpart. The progression of the disease is rapid, and treatment must be initiated early to achieve cancer remission and extend life. This study examined the relationship between progression‐free survival (PFS) and microRNA (miRNA) expression in dogs with DLBCL. miRNAs are small non‐coding RNA molecules that typically regulate gene expression post‐transcriptionally. They are involved in several pathophysiological processes, including the growth and progression of cancer. Based on the analysis of small RNA sequencing (sRNA‐seq) data, we validated a group of miRNAs in lymph nodes from 44 DLBCL‐affected dogs with known outcomes. We used quantitative PCR to quantify their expression and report a specific subset of miRNAs is associated with decreased PFS in dogs with DLBCL. The miR‐192‐5p and miR‐16‐5p expression were significantly downregulated in dogs with increased PFS. These results indicate that miRNA profiling may potentially identify dogs with DLBCL that will experience poor outcomes following treatment. Identifying specific miRNAs that correlate with the progression of canine DLBCL could aid the development of individualized treatment regimens for dogs.

Authors

Institutions

Publication Details

Journal
FEBS Open Bio
Published
2024-09-01
DOI
https://doi.org/10.1002/2211-5463.13887
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Micro RNA s implicated in canine diffuse large B‐cell lymphoma prognosis

Andrea Pires dos Santos, Ekramy E. Sayedahmed, Michael Gribskov, Nelly O. Elshafie et al.
FEBS Open Bio
Cancer-related molecular mechanisms research
article

Micro RNA s implicated in canine diffuse large B‐cell lymphoma prognosis

Andrea Pires dos Santos, Ekramy E. Sayedahmed, Michael Gribskov, Nelly O. Elshafie, Nathanael I. Lichti, Michael O. Childress
article en

Abstract

Diffuse large B‐cell lymphoma (DLBCL) is the most prevalent subtype of non‐Hodgkin lymphoma (NHL) in domestic dogs, with many similarities to its human counterpart. The progression of the disease is rapid, and treatment must be initiated early to achieve cancer remission and extend life. This study examined the relationship between progression‐free survival (PFS) and microRNA (miRNA) expression in dogs with DLBCL. miRNAs are small non‐coding RNA molecules that typically regulate gene expression post‐transcriptionally. They are involved in several pathophysiological processes, including the growth and progression of cancer. Based on the analysis of small RNA sequencing (sRNA‐seq) data, we validated a group of miRNAs in lymph nodes from 44 DLBCL‐affected dogs with known outcomes. We used quantitative PCR to quantify their expression and report a specific subset of miRNAs is associated with decreased PFS in dogs with DLBCL. The miR‐192‐5p and miR‐16‐5p expression were significantly downregulated in dogs with increased PFS. These results indicate that miRNA profiling may potentially identify dogs with DLBCL that will experience poor outcomes following treatment. Identifying specific miRNAs that correlate with the progression of canine DLBCL could aid the development of individualized treatment regimens for dogs.

FEBS Open BioVol. 14(11)
Purdue University West Lafayette (US)
Purdue University, Purdue Research Foundation
Good health and well-being
Openalex Percentile: Top 79%
Cancer-related molecular mechanisms research
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.