Abstract 5906: Analysis of metabolic dysfunction-associated transcripts in hepatocellular carcinoma

Abstract Hepatocellular carcinoma (HCC) is the primary form of liver cancer, because early symptoms may be absent, it is often detected late, resulting in a median survival of less than a year. Metabolically-dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), has been identified as the fastest-growing cause of HCC globally, including in the United States. Vitellius et al. reported that MASLD may account for 35% of HCC cases. Furthermore, Younossi et al. mentioned it is estimated that by 2040, MASLD will be present in 55% of the population. Therefore, understanding the molecular mechanisms by which MASLD progresses to HCC is critical. In this study, we leveraged the existing whole-transcriptomic data from over 200 patients with MASLD or Metabolic Dysfunction-Associated Steatohepatitis (MASH) to identify all differentially expressed transcripts, compared to normal liver tissue. We examined the expression of unique noncoding transcripts that are associated with metabolism in HCC. To explore their potential functions, we used the Genomic Regions Enrichment of Annotations Tool (GREAT). Currently, we are employing various molecular and phenotypic based assays to identify their function in HCC. We will link their functions to HCC patient outcomes using RNA in situ hybridization in human tissues. The analysis identified differentially expressed transcripts in MASLD and MASH. We observed overlapping gene expression patterns across both conditions, along with distinct transcriptomic profiles unique to each stage. In MASLD, 4,403 genes were significantly upregulated and 4,411 downregulated compared to controls. Similarly, in MASH, 4,702 genes were upregulated and 4,433 downregulated. Comparative analyses revealed substantial overlap between the two cohorts, while also highlighting transcripts unique to each condition. These findings suggest that as metabolic liver disease progresses from fatty liver to steatohepatitis, many transcriptional alterations are conserved and become increasingly dysregulated. GREAT analyses indicate that these may be linked to various cellular processes known to play critical role in HCC, such as long-chain fatty-acyl-CoA and fatty-acyl-CoA metabolism, cellular catabolism, apoptosis, and kidney development, including mesonephros. Notably, many of these transcripts exhibit distinct expression patterns in HCC, suggesting their potential as diagnostic and therapeutic markers. We have begun elucidating their mechanism of action using loss- and gain-of approaches in HCC and how their expression is regulated in patient tissue samples. Citation Format: Karla Perez, Frida Mariana Delgadillo, Subramanian Dhandayuthapani, Murali M. Yallapu, Subhash Chauhan, Enrique Ramos, SHRIKANTH GADAD. Analysis of metabolic dysfunction-associated transcripts in hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5906.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-5906
Primary Topic
Liver Disease Diagnosis and Treatment
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article
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article

Abstract 5906: Analysis of metabolic dysfunction-associated transcripts in hepatocellular carcinoma

Murali Mohan Yallapu, Subramanian Dhandayuthapani, Enrique Ramos, Shrikanth S. Gadad et al.
Cancer Research
Liver Disease Diagnosis and Treatment
article

Abstract 5906: Analysis of metabolic dysfunction-associated transcripts in hepatocellular carcinoma

Murali Mohan Yallapu, Subramanian Dhandayuthapani, Enrique Ramos, Shrikanth S. Gadad, Karla Perez, Frida Mariana Delgadillo, Subhash C. Chauhan
article en

Abstract

Abstract Hepatocellular carcinoma (HCC) is the primary form of liver cancer, because early symptoms may be absent, it is often detected late, resulting in a median survival of less than a year. Metabolically-dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), has been identified as the fastest-growing cause of HCC globally, including in the United States. Vitellius et al. reported that MASLD may account for 35% of HCC cases. Furthermore, Younossi et al. mentioned it is estimated that by 2040, MASLD will be present in 55% of the population. Therefore, understanding the molecular mechanisms by which MASLD progresses to HCC is critical. In this study, we leveraged the existing whole-transcriptomic data from over 200 patients with MASLD or Metabolic Dysfunction-Associated Steatohepatitis (MASH) to identify all differentially expressed transcripts, compared to normal liver tissue. We examined the expression of unique noncoding transcripts that are associated with metabolism in HCC. To explore their potential functions, we used the Genomic Regions Enrichment of Annotations Tool (GREAT). Currently, we are employing various molecular and phenotypic based assays to identify their function in HCC. We will link their functions to HCC patient outcomes using RNA in situ hybridization in human tissues. The analysis identified differentially expressed transcripts in MASLD and MASH. We observed overlapping gene expression patterns across both conditions, along with distinct transcriptomic profiles unique to each stage. In MASLD, 4,403 genes were significantly upregulated and 4,411 downregulated compared to controls. Similarly, in MASH, 4,702 genes were upregulated and 4,433 downregulated. Comparative analyses revealed substantial overlap between the two cohorts, while also highlighting transcripts unique to each condition. These findings suggest that as metabolic liver disease progresses from fatty liver to steatohepatitis, many transcriptional alterations are conserved and become increasingly dysregulated. GREAT analyses indicate that these may be linked to various cellular processes known to play critical role in HCC, such as long-chain fatty-acyl-CoA and fatty-acyl-CoA metabolism, cellular catabolism, apoptosis, and kidney development, including mesonephros. Notably, many of these transcripts exhibit distinct expression patterns in HCC, suggesting their potential as diagnostic and therapeutic markers. We have begun elucidating their mechanism of action using loss- and gain-of approaches in HCC and how their expression is regulated in patient tissue samples. Citation Format: Karla Perez, Frida Mariana Delgadillo, Subramanian Dhandayuthapani, Murali M. Yallapu, Subhash Chauhan, Enrique Ramos, SHRIKANTH GADAD. Analysis of metabolic dysfunction-associated transcripts in hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5906.

Cancer ResearchVol. 86(7_Supplement)
The University of Texas at El Paso (US), The University of Texas Rio Grande Valley (US)
Good health and well-being
Openalex Percentile: Top 4%
Liver Disease Diagnosis and Treatment
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