Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Acetyl-CoA is a vitally important and versatile metabolite used for many cellular processes including fatty acid synthesis, ATP production, and protein acetylation. Recent studies have shown that cancer cells upregulate acetyl-CoA synthetase 2 (ACSS2), an enzyme that converts acetate to acetyl-CoA, in response to stresses such as low nutrient availability and hypoxia. Stressed cancer cells use ACSS2 as a means to exploit acetate as an alternative nutrient source. Genetic depletion of ACSS2 in tumors inhibits the growth of a wide variety of cancers. However, there are no studies on the use of an ACSS2 inhibitor to block tumor growth. In this study, we synthesized a small-molecule inhibitor that acts as a transition-state mimetic to block ACSS2 activity and . Pharmacologic inhibition of ACSS2 as a single agent impaired breast tumor growth. Collectively, our findings suggest that targeting ACSS2 may be an effective therapeutic approach for the treatment of patients with breast cancer. SIGNIFICANCE: These findings suggest that targeting acetate metabolism through ACSS2 inhibitors has the potential to safely and effectively treat a wide range of patients with cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026699PMC
http://dx.doi.org/10.1158/0008-5472.CAN-20-1847DOI Listing

Publication Analysis

Top Keywords

targeting acss2
8
transition-state mimetic
8
breast cancer
8
cancer cells
8
acss2
8
tumor growth
8
findings targeting
8
cancer
5
acss2 transition-state
4
mimetic inhibits
4

Similar Publications

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.

View Article and Find Full Text PDF

Hepatocyte metabolic adaptations during pregnancy and lactation.

Cell

August 2025

Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China; State Key Laboratory of Female Fertility Promotion, Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing 100191, China. Electronic address:

The liver undergoes metabolic adaptations during gestation and lactation to meet evolving physiological demands, yet the precise processes, regulatory mechanisms, and functions remain unclear. Using high-resolution single-cell RNA sequencing, we systematically characterized hepatocyte adaptations in mice across pregnancy and postpartum stages. We discovered a cyclical hepatocyte trajectory ("pregnancy clock") that governs metabolic changes during gestation and postpartum recovery, reverting to pregestational states in non-lactating mice.

View Article and Find Full Text PDF

Head and neck squamous cell carcinoma (HNSCC) has a high rate of metastasis and recurrence, and poses a considerable threat to patient survival. Autophagy, an intracellular degradation pathway, plays a crucial role in tumor progression; however, the underlying mechanisms of action remain unclear. This study aimed to explore the role of the ACSS2-TFEB axis in the regulation of autophagy and its impact on HNSCC cell proliferation, migration, invasion, and lysosomal function.

View Article and Find Full Text PDF

Druggable genome-wide Mendelian randomization integrating GWAS and eQTL/pQTL data identifies targets for lung squamous cell carcinoma.

Sci Rep

August 2025

Department of Thoracic Surgery, Chest Hospital, Tianjin University, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, 300222, China.

Lung squamous cell carcinoma (LUSC) is one of the most common types of non-small cell lung cancer with poor prognosis. Druggable genome-wide Mendelian randomization (MR) was conducted to discover LUSC-related targets using expression quantitative trait loci (eQTL) and protein QTL (pQTL) in the ieu_b_4953 dataset and finngen dataset. Bayesian co-localization analysis, summary‑data‑based MR (SMR) analysis, and HEIDI test were conducted to verify the causal associations between genes and LUSC risk.

View Article and Find Full Text PDF

Risk factors for multiple myeloma and its precursor diseases.

Zhong Nan Da Xue Xue Bao Yi Xue Ban

April 2025

Cancer Research Institute, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410008.

Multiple myeloma (MM) is a common hematologic malignancy that originates from precursor conditions such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). Identifying its risk factors is crucial for early intervention. The etiology of MM is multifactorial, involving race, familial clustering, gender, age, obesity, cytogenetic abnormalities, and environmental exposures.

View Article and Find Full Text PDF