The ACSS2-PPARD-BCAT1 axis synchronously regulates branched-chain amino acid metabolism and development in pancreatic cancer

The characteristics of the tumor microenvironment (TME) of pancreatic cancer include an abundant stroma, hypoxia, insufficient blood supply and high degree of immunosuppression. Therefore, overcoming the TME conditions to reach a hypermetabolic state is a concern for the treatment of pancreatic cancer. Previous studies have demonstrated that tumor cells adapt to the TME by activating or increasing the expression level of ACSS2 under metabolic stress. Our study focuses mainly on the relationship between ACSS2 and amino acid metabolism. We find that ACSS2 is generally highly expressed and promotes the proliferation and invasiveness of pancreatic cancer. Knockout of <i>ACSS2</i> reduces the catabolism of branched chain amino acids (BCAAs) by inhibiting the transcription of <i>BCAT1</i>. ACSS2 participates in the regulation of histone and transcription factor acetylation. Mechanistically, ACSS2 promotes acetylation at the H3K27 site in the <i>PPARD</i> promoter region to increase the transcription of <i>BCAT1</i> and ultimately alters the metabolic status of BCAAs. Moreover, the proliferation and invasion status induced by ACSS2 can be partly reversed by BCAT1 in pancreatic cancer cells. In summary, we believe that targeting the ACSS2-PPARD-BCAT1 axis has certain clinical value and can provide a new therapeutic strategy for the comprehensive treatment of pancreatic cancer.

Authors

Institutions

Publication Details

Journal
Acta Biochimica et Biophysica Sinica
Published
2025-06-27
DOI
https://doi.org/10.3724/abbs.2025111
Citations
1
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The ACSS2-PPARD-BCAT1 axis synchronously regulates branched-chain amino acid metabolism and development in pancreatic cancer

Shunrong Ji, Yihua Shi, Ye Zeng, Yi Qin et al.
1 citations
Acta Biochimica et Biophysica Sinica
Pancreatic and Hepatic Oncology Research
1.05
article

The ACSS2-PPARD-BCAT1 axis synchronously regulates branched-chain amino acid metabolism and development in pancreatic cancer

Shunrong Ji, Yihua Shi, Ye Zeng, Yi Qin, Haidi Chen, Lijun Liu, Xianjun Yu, Xiaowu Xu, Sen Hou, Wenyan Xu, Chenjie Zhou
article en
1 citations

Abstract

The characteristics of the tumor microenvironment (TME) of pancreatic cancer include an abundant stroma, hypoxia, insufficient blood supply and high degree of immunosuppression. Therefore, overcoming the TME conditions to reach a hypermetabolic state is a concern for the treatment of pancreatic cancer. Previous studies have demonstrated that tumor cells adapt to the TME by activating or increasing the expression level of ACSS2 under metabolic stress. Our study focuses mainly on the relationship between ACSS2 and amino acid metabolism. We find that ACSS2 is generally highly expressed and promotes the proliferation and invasiveness of pancreatic cancer. Knockout of <i>ACSS2</i> reduces the catabolism of branched chain amino acids (BCAAs) by inhibiting the transcription of <i>BCAT1</i>. ACSS2 participates in the regulation of histone and transcription factor acetylation. Mechanistically, ACSS2 promotes acetylation at the H3K27 site in the <i>PPARD</i> promoter region to increase the transcription of <i>BCAT1</i> and ultimately alters the metabolic status of BCAAs. Moreover, the proliferation and invasion status induced by ACSS2 can be partly reversed by BCAT1 in pancreatic cancer cells. In summary, we believe that targeting the ACSS2-PPARD-BCAT1 axis has certain clinical value and can provide a new therapeutic strategy for the comprehensive treatment of pancreatic cancer.

Acta Biochimica et Biophysica Sinica
Shanghai Medical College of Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Shanghai Cancer Institute (CN)
Zero hunger
Openalex Percentile: Top 20%
Pancreatic and Hepatic Oncology Research
1.05
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.