Acetyl-CoA carboxylase 1 depletion suppresses de novo fatty acid synthesis and mitochondrial ß-oxidation in castration-resistant prostate cancer cells.

Cancer cells, including those of prostate cancer (PCa), often hijack intrinsic cell signaling to reprogram their metabolism. Part of this reprogramming includes the activation of de novo synthesis of fatty acids that not only serve as building blocks for membrane synthesis but also as energy sources for cell proliferation. However, how de novo fatty acid synthesis contributes to PCa progression is still poorly understood. Herein, by mining public datasets, we discovered that the expression of acetyl-CoA carboxylase alpha (ACACA), which encodes acetyl-CoA carboxylase 1 (ACC1), was highly expressed in human PCa. In addition, patients with high ACACA expression had a short disease-free survival time. We also reported that depletion of ACACA reduced de novo fatty acid synthesis and PI3K/AKT signaling in the human castration-resistant PCa (CRPC) cell lines DU145 and PC3. Furthermore, depletion of ACACA downregulates mitochondrial beta-oxidation, resulting in mitochondrial dysfunction, a reduction in ATP production, an imbalanced NADP+/NADPhydrogen(H) ratio, increased reactive oxygen species, and therefore apoptosis. Reduced exogenous fatty acids by depleting lipid or lowering serum supplementation exacerbated both shRNA depletion and pharmacological inhibition of ACACA-induced apoptosis in vitro. Collectively, our results suggest that inhibition of ectopic ACACA, together with suppression of exogenous fatty acid uptake, can be a novel strategy for treating currently incurable CRPC.

Effect of traditional Chinese medicine on Graves' disease: a network meta-analysis.

Introduction: Graves' disease (GD) is the most common cause of hyperthyroidism and can affect multiple systems of the body. Currently, commonly-used treatment methods for GD have a series of shortcomings. In contrast, traditional Chinese medicine has been proven to be effective in inhibiting the progression of GD and is expected to become a key direction for the development of new drugs in the future. Therefore, a network meta-analysis was performed to compare the impacts of different traditional Chinese medicines on the curative effect, thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4), thyroglobulin antibody (TGAb), thyroid peroxidase antibody (TPOAb) and thyrotropin receptor antibody (TRAb) in patients with GD. Methods: PubMed, Embase, Cochrane Library, Web of Science, WanFang, Weipu, and CNKI were searched for the randomized controlled trials of traditional Chinese medicine on GD patients up to 19 December 2023. The quality of the included studies was evaluated regarding the risk of bias, and the data were analyzed by R software. Results: Thirty-five articles were included in the analysis, involving 2828 GD patients and traditional Chinese medicines including Bailing Capsule, Jinshuibao Capsule, Astragalus injection, Jiakangling Tablet, Jiakangling Capsule, Tripterygium Wilfordii, Sanjie Xiaoying Decoction, Prunella vulgaris (L.) Oral Liquid, P. vulgaris (L.) Granules, Xiehuo Xiaoying Recipe, Xiehuo Yangyin Powder, Yikang Pill and Yinjia Pellet. The results of network meta-analysis suggested that for GD patients, Bailing Capsule, Jiakangling Capsule, Tripterygium wilfordii, P. vulgaris (L.) Oral Liquid and Yinjia Pellet had better curative effect compared with Western medicine. Prunella vulgaris (L.) Granules and Yikang Pill could improve the TSH level. Prunella vulgaris (L.) Granules, P. vulgaris (L.) Oral Liquid and Yikang Pill could reduce FT3 level. Jiakangling Capsule, P. vulgaris (L.) Granules, P. vulgaris (L.) Oral Liquid and Yikang Pill could reduce the FT4 level. Prunella vulgaris (L.) Oral Liquid can reduce the level of TPOAb and TRAb. Besides, Yinjia Pellet was the most helpful in improving the curative effect. Yikang Pill could best improve TSH. Prunella vulgaris (L.) Granules had the best effect on reducing FT3. Prunella vulgaris (L.) Granules performed best in reducing FT4. Prunella vulgaris (L.) Oral Liquid had the most favorable effect on reducing TPOAb and TRAb. Conclusion: Based on the current research, it is safe to conclude that Chinese medicine can improve the curative effect and TSH level of patients with GD, and reduce the levels of FT3, FT4, TPOAb and TRAb. Besides, Yinjia Pellet is the most helpful in improving the curative effect. Yikang Pill can best improve TSH. Prunella vulgaris (L.) Granules have the best effect on reducing FT3. Prunella vulgaris (L.) Granules perform best in reducing FT4. Prunella vulgaris (L.) Oral Liquid has the most favorable effect on reducing TPOAb and TRAb. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42024521912.

N1-methyladenosine RNA methylation patterns are associated with an increased risk to biochemical recurrence in prostate cancer and serve as a potential novel biomarker for patient stratification.

INTRODUCTION: N1-methyladenosine (m1A) RNA methylation is an emerging epigenetic modification. Its potential role in lipid metabolism and prognosis of prostate cancer (PCa) remains unexplored. OBJECTIVES: This study investigated the impact of m1A on lipid metabolism and PCa prognosis. METHODS: In this work, the landscape of genetic and expression variations of 10 widely recognized m1A regulators in PCa was revealed. Combining machine-learning strategies, the m1A modification patterns and corresponding characteristics of lipid metabolism of PCa samples from the cancer genome atlas program (TCGA) dataset were comprehensively analyzed. In vitro assays were performed to identify the role of TRMT61A, the key m1A regulator, on PCa cells. RESULTS: Two distinct m1A modification patterns and corresponding lipid metabolism profiles were identified in PCa. The m1A modification subgroup with a high risk of biochemical recurrence (BCR) has stronger mitochondrial metabolism and FA oxidation activity. A consensus m1A modification-related lipid metabolism score (mMLMS) was constructed to predict the BCR prognosis of patients with PCa. The mMLMS was shown to accurately predict the BCR prognosis of PCa within six external cohorts. Finally, TRMT61A was identified as the key m1A regulator related to mMLMS, and it was found to promote the progression of PCa in vitro. TRMT61A potentially enhances mitochondrial function and FA beta oxidation in PCa cells via the PI3K/AKT pathway. CONCLUSION: m1A RNA methylation patterns are associated with characteristics of lipid metabolism in PCa, providing a novel treatment strategy.

Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer.

Background: Enzalutamide, as a second-generation endocrine therapy drug for prostate cancer (PCa), is prominent representative among the synthetic androgen receptor antagonists. Currently, there is lack of enzalutamide-induced signature (ENZ-sig) for predicting progression and relapse-free survival (RFS) in PCa. Methods: Enzalutamide-induced candidate markers were derived from single-cell RNA sequencing analysis integrating three enzalutamide-stimulated models (0-, 48-, and 168-h enzalutamide stimulation). ENZ-sig was constructed on the basis of candidate genes that were associated with RFS in The Cancer Genome Atlas leveraging least absolute shrinkage and selection operator method. The ENZ-sig was further validated in GSE70768, GSE94767, E-MTAB-6128, DFKZ, GSE21034, and GSE70769 datasets. Biological enrichment analysis was used to discover the underlying mechanism between high ENZ-sig and low ENZ-sig in single-cell RNA sequencing and bulk RNA sequencing. Results: We identified a heterogenous subgroup that induced by enzalutamide stimulation and found 53 enzalutamide-induced candidate markers that are related to trajectory progression and enzalutamide-stimulated. The candidate genes were further narrowed down into 10 genes that are related to RFS in PCa. A 10-gene prognostic model (ENZ-sig)-IFRD1, COL5A2, TUBA1A, CFAP69, TMEM388, ACPP, MANEA, FOSB, SH3BGRL, and ST7-was constructed for the prediction of RFS in PCa. The effective and robust predictability of ENZ-sig was verified in six independent datasets. Biological enrichment analysis revealed that differentially expressed genes in high ENZ-sig were more activated in cell cycle-related pathway. High-ENZ-sig patients were more sensitive to cell cycle-targeted drugs (MK-1775, AZD7762, and MK-8776) than low-ENZ-sig patients in PCa. Conclusions: Our results provided evidence and insight on the potential utility of ENZ-sig in PCa prognosis and combination therapy strategy of enzalutamide and cell cycle-targeted compounds in treating PCa.

Metformin escape in prostate cancer by activating the PTGR1 transcriptional program through a novel super-enhancer.

The therapeutic efficacy of metformin in prostate cancer (PCa) appears uncertain based on various clinical trials. Metformin treatment failure may be attributed to the high frequency of transcriptional dysregulation, which leads to drug resistance. However, the underlying mechanism is still unclear. In this study, we found evidences that metformin resistance in PCa cells may be linked to cell cycle reactivation. Super-enhancers (SEs), crucial regulatory elements, have been shown to be associated with drug resistance in various cancers. Our analysis of SEs in metformin-resistant (MetR) PCa cells revealed a correlation with Prostaglandin Reductase 1 (PTGR1) expression, which was identified as significantly increased in a cluster of cells with metformin resistance through single-cell transcriptome sequencing. Our functional experiments showed that PTGR1 overexpression accelerated cell cycle progression by promoting progression from the G0/G1 to the S and G2/M phases, resulting in reduced sensitivity to metformin. Additionally, we identified key transcription factors that significantly increase PTGR1 expression, such as SRF and RUNX3, providing potential new targets to address metformin resistance in PCa. In conclusion, our study sheds new light on the cellular mechanism underlying metformin resistance and the regulation of the SE-TFs-PTGR1 axis, offering potential avenues to enhance metformin's therapeutic efficacy in PCa.

A reactive oxygen species-related signature to predict prognosis and aid immunotherapy in clear cell renal cell carcinoma.

Background: Clear cell renal cell carcinoma (ccRCC) is a malignant disease containing tumor-infiltrating lymphocytes. Reactive oxygen species (ROS) are present in the tumor microenvironment and are strongly associated with cancer development. Nevertheless, the role of ROS-related genes in ccRCC remains unclear. Methods: We describe the expression patterns of ROS-related genes in ccRCC from The Cancer Genome Atlas and their alterations in genetics and transcription. An ROS-related gene signature was constructed and verified in three datasets and immunohistochemical staining (IHC) analysis. The immune characteristics of the two risk groups divided by the signature were clarified. The sensitivity to immunotherapy and targeted therapy was investigated. Results: Our signature was constructed on the basis of glutamate-cysteine ligase modifier subunit (GCLM), interaction protein for cytohesin exchange factors 1 (ICEF1), methionine sulfoxide reductase A (MsrA), and strawberry notch homolog 2 (SBNO2) genes. More importantly, protein expression levels of GCLM, MsrA, and SBNO2 were detected by IHC in our own ccRCC samples. The high-risk group of patients with ccRCC suffered lower overall survival rates. As an independent predictor of prognosis, our signature exhibited a strong association with clinicopathological features. An accurate nomogram for improving the clinical applicability of our signature was constructed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that the signature was closely related to immune response, immune activation, and immune pathways. The comprehensive results revealed that the high-risk group was associated with high infiltration of regulatory T cells and CD8+ T cells and more benefited from targeted therapy. In addition, immunotherapy had better therapeutic effects in the high-risk group. Conclusion: Our signature paved the way for assessing prognosis and developing more effective strategies of immunotherapy and targeted therapy in ccRCC.

Identification and experimental validation of a tumor-infiltrating lymphocytes-related long noncoding RNA signature for prognosis of clear cell renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC) is a common aggressive malignant tumor of the urinary system. Given the heterogeneity of the tumor microenvironment, immunotherapy may not fully exert its role in the treatment of advanced patients. Long noncoding RNA (lncRNA) has been reported to be critically associated with the differentiation and maturation of tumor-infiltrating lymphocytes (TILs), which work against tumor cells. In this study, we identified 10 TIL-related lncRNAs (AL590094.1, LINC02027, LINC00460, AC147651.1, AC026401.3, LINC00944, LINC01615, AP000439.2, AL162586.1, and AC084876.1) by Pearson correlation, univariate Cox regression, Lasso regression, and multivariate Cox regression based on The Cancer Genome Atlas (TCGA) database. A risk score model was established based on these lncRNAs. Next, a nomogram was constructed to predict the overall survival. By employing differentially expressed genes (DEGs) between groups with high and low risk scores, gene ontology (GO) enrichment analysis was performed to identify the major biological processes (BP) related to immune DEGs. We analyzed the mutation data of the groups and demonstrated that SETD2 and BAP1 had the highest mutation frequency in the high-risk group. The "CIBERSORT" R package was used to detect the abundance of TILs in the groups. The expression of lymphocyte markers was compared. We also determined the expression of two lncRNAs (AC084876.1 and AC026401.3) and their relationship with lymphocyte markers in the kidney tissue of ccRCC patients and showed that there was a positive correlation between AC084876.1 and FoxP3. Proliferation, migration, and invasion of AC084876.1-downregulated ccRCC cell lines were inhibited, and the expression of PD-L1 and TGF-ß secretion decreased. To our knowledge, this is the first bioinformatics study to establish a prognostic model for ccRCC using TIL-related lncRNAs. These lncRNAs were associated with T-cell activities and may serve as biomarkers of disease prognosis.