Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary Study

Canine hepatocellular carcinoma (HCC) is characterized by distinct computed tomography (CT) findings. HCC exhibits tumor heterogeneity, with different genomic information and histopathological features within the same tumor. In human HCC, genetic alterations affect the prognosis and treatment, and research has begun to assess genetic alterations using minimally invasive and reproducible CT. However, the relationship between CT findings and the genomic information of canine HCC is unknown. Early contrast of HCC indicates increased intratumoral neovascular growth. In this study, we aimed to investigate the relationship between enhancement patterns in the arterial phase of CT imaging and gene expression in canine HCC using RNA sequencing. Based on the CT findings, three of the eight dogs studied were classified as having enhancement HCC and five as having non-enhancement HCC. RNA sequencing was performed using the mRNA extracted from the specimens. Eight differentially expressed genes met the cutoff criteria. Among these, <i>DUSP9</i>, <i>SLPI</i>, and <i>ALDH1L2</i> were the most upregulated genes in enhancement HCC, whereas <i>SLC1A1</i> was the most downregulated in non-enhancement HCC. Canine HCC may involve different angiogenesis mechanisms. CT findings can be used to assess the gene expression status in canine HCC and may add new value to CT imaging.

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Journal
Veterinary Sciences
Published
2025-02-07
DOI
https://doi.org/10.3390/vetsci12020137
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
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article

Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary Study

Toshiyuki T. Tanaka, Shohei Kurokawa, Tomoki Motegi, N Sumikawa et al.
Veterinary Sciences
Cancer, Hypoxia, and Metabolism
article

Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary Study

Toshiyuki T. Tanaka, Shohei Kurokawa, Tomoki Motegi, N Sumikawa, Hideo Akiyoshi, Masatomo Mori
article en

Abstract

Canine hepatocellular carcinoma (HCC) is characterized by distinct computed tomography (CT) findings. HCC exhibits tumor heterogeneity, with different genomic information and histopathological features within the same tumor. In human HCC, genetic alterations affect the prognosis and treatment, and research has begun to assess genetic alterations using minimally invasive and reproducible CT. However, the relationship between CT findings and the genomic information of canine HCC is unknown. Early contrast of HCC indicates increased intratumoral neovascular growth. In this study, we aimed to investigate the relationship between enhancement patterns in the arterial phase of CT imaging and gene expression in canine HCC using RNA sequencing. Based on the CT findings, three of the eight dogs studied were classified as having enhancement HCC and five as having non-enhancement HCC. RNA sequencing was performed using the mRNA extracted from the specimens. Eight differentially expressed genes met the cutoff criteria. Among these, <i>DUSP9</i>, <i>SLPI</i>, and <i>ALDH1L2</i> were the most upregulated genes in enhancement HCC, whereas <i>SLC1A1</i> was the most downregulated in non-enhancement HCC. Canine HCC may involve different angiogenesis mechanisms. CT findings can be used to assess the gene expression status in canine HCC and may add new value to CT imaging.

Veterinary SciencesVol. 12(2)
Boston University (US), Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP)
Good health and well-being
Openalex Percentile: Top 98%
Cancer, Hypoxia, and Metabolism
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Early Enhancement in Contrast-Enhanced Computed Tomography Is an Index of DUSP9, SLPI, ALDH1L2, and SLC1A1 Expression in Canine Hepatocellular Carcinoma: A Preliminary Study — Toshiyuki T. Tanaka, Shohei Kurokawa, et al. · Veterinary Sciences (2025) | TGRS Research Map | TGRS