CYP27B1 Downregulation: A New Molecular Mechanism Regulating EZH2 in Ovarian Cancer Tumorigenicity

The long and short non-coding RNAs modulating EZH2 signaling in cancer

Non-coding RNAs (ncRNAs) are a large family of RNA molecules with no capability in encoding proteins. However, they participate in developmental and biological processes and their abnormal expression affects cancer progression. These RNA molecules can function as upstream mediators of different signaling pathways and enhancer of zeste homolog 2 (EZH2) is among them. Briefly, EZH2 belongs to PRCs family and can exert functional roles in cells due to its methyltransferase activity. EZH2 affects gene expression via inducing H3K27me3. In the present review, our aim is to provide a mechanistic discussion of ncRNAs role in regulating EZH2 expression in different cancers. MiRNAs can dually induce/inhibit EZH2 in cancer cells to affect downstream targets such as Wnt, STAT3 and EMT. Furthermore, miRNAs can regulate therapy response of cancer cells via affecting EZH2 signaling. It is noteworthy that EZH2 can reduce miRNA expression by binding to promoter and exerting its methyltransferase activity. Small-interfering RNA (siRNA) and short-hairpin RNA (shRNA) are synthetic, short ncRNAs capable of reducing EZH2 expression and suppressing cancer progression. LncRNAs mainly regulate EZH2 expression via targeting miRNAs. Furthermore, lncRNAs induce EZH2 by modulating miRNA expression. Circular RNAs (CircRNAs), like lncRNAs, affect EZH2 expression via targeting miRNAs. These areas are discussed in the present review with a focus on molecular pathways leading to clinical translation.

Dysregulated lipid metabolism blunts the sensitivity of cancer cells to EZH2 inhibitor

Background

Sensitivity has been a key issue for Enhancer of zeste homolog 2 (EZH2) inhibitors in cancer therapy. The EZH2 inhibitor EPZ-6438 was first approved by the US Food and Drug Administration (FDA) in 2020. However, its inadequate anti-cancer activity in solid tumors limits its clinical application. In this study, we utilized the multiple cancer cell lines, which are less sensitive to the EZH2 inhibitor GSK126, combining animal model and clinical data to investigate the underlying mechanism.

Methods

IncuCyte S3 was used to explore the difference in the responsiveness of hematological tumor cells and solid tumor cells to GSK126. Transcriptome and metabolome of B16F10 cells after GSK126 treatment were analyzed and the distinct changes in the metabolic profile were revealed. Real-time quantitative PCR and western blot experiments were used to further verify the multi-omics data. ChIP-qPCR was performed to detected H3K27me3 enrichment of target genes. Finally, the anti-tumor effects of combining GSK126 and lipid metabolism drugs were observed with IncuCyte S3 platform, CCK-8 and animal model respectively.

Findings

We found that although the proliferative phenotype did not show strong difference upon treatment with GSK126, the transcriptome and metabolome changed profoundly. GSK126 treatment led to broad shifts in glucose, amino acid, and lipid metabolism. Lipid synthesis was strengthened manifested by the increasing abundance of unsaturated fatty acids. SCD1 and ELOVL2 were regulated by H3K27me3 at gene regulatory region, and upregulated by EZH2 knockdown and inhibitors. SCD1 knockdown increased cellular sensitivity to GSK126. Based on the findings above, the application of the combination with SCD1 inhibitor significantly attenuated the proliferation of cancer and increased the sensitivity to GSK126 by suppressing desaturation of fatty acids.

Interpretation

Dysregulated lipid metabolism can blunt the sensitivity of cancer cells to GSK126. These characteristics shed light on the novel combination therapy strategies to combat tumor resistance.

Funding

National Natural Science Foundation of China (No. 81672091, No.91749107 and No. 81972966).

A Robust Metabolic Enzyme-Based Prognostic Signature for Head and Neck Squamous Cell Carcinoma

Background

Head and neck squamous cell carcinoma (HNSCC) is still a menace to public wellbeing globally. However, the underlying molecular events influencing the carcinogenesis and prognosis of HNSCC are poorly known.

Methods

Gene expression profiles of The Cancer Genome Atlas (TCGA) HNSCC dataset and GSE37991 were downloaded from the TCGA database and gene expression omnibus, respectively. The common differentially expressed metabolic enzymes (DEMEs) between HNSCC tissues and normal controls were screened out. Then a DEME-based molecular signature and a clinically practical nomogram model were constructed and validated.

Results

A total of 23 commonly upregulated and 9 commonly downregulated DEMEs were identified in TCGA HNSCC and GSE37991. Gene ontology analyses of the common DEMEs revealed that alpha-amino acid metabolic process, glycosyl compound metabolic process, and cellular amino acid metabolic process were enriched. Based on the TCGA HNSCC cohort, we have built up a robust DEME-based prognostic signature including HPRT1, PLOD2, ASNS, TXNRD1, CYP27B1, and FUT6 for predicting the clinical outcome of HNSCC. Furthermore, this prognosis signature was successfully validated in another independent cohort GSE65858. Moreover, a potent prognostic signature-based nomogram model was constructed to provide personalized therapeutic guidance for treating HNSCC. In vitro experiment revealed that the knockdown of TXNRD1 suppressed malignant activities of HNSCC cells.

Conclusion

Our study has successfully developed a robust DEME-based signature for predicting the prognosis of HNSCC. Moreover, the nomogram model might provide useful guidance for the precision treatment of HNSCC.

Elevated lncRNA-UCA1 upregulates EZH2 to promote inflammatory response in sepsis-induced pneumonia via inhibiting HOXA1

Sepsis is characterized by a dysregulated inflammatory response. We aimed to explore the role of the long non-coding RNA urothelial carcinoma associated 1 (lncRNA UCA1)/enhancer of zeste homolog 2 (EZH2)/homeobox A1 (HOXA1) axis in sepsis-induced pneumonia. The sepsis rat models and RLE-6TN cellular sepsis-induced pneumonia models were established using ligation and puncture (CLP) and lipopolysaccharide (LPS). The expression of UCA1, EZH2 and HOXA1 in rat lung tissues and RLE-6TN cells was detected. Then, the CLP rats were respectively treated with UCA1 up-regulation or UCA1 silencing, EZH2 overexpression to measure their roles in the pathology, apoptosis, inflammation and NF-κB mRNA and phosphorylated NF-κB p-65 levels in CLP rat lung tissues. The cells were subjected to same treatment to examine the effects of UCA1, EZH2 and HOXA1 on viability, apoptosis, inflammation and NF-κB mRNA and phosphorylated NF-κB p-65 levels in LPS-induced RLE-6TN cells. The interactions among UCA1, EZH2 and HOXA1 were identified. UCA1 and EZH2 were upregulated while HOXA1 was downregulated in CLP rat lung tissues and LPS-induced RLE-6TN cells. Elevated UCA1 or increased EZH2 aggravated pathology and promoted apoptosis, inflammation and NF-κB mRNA and phosphorylated NF-κB p-65 levels in CLP rat lung tissues, and inhibited viability while facilitated apoptosis, inflammation and NF-κB mRNA and phosphorylated NF-κB p-65 levels in LPS-induced RLE-6TN cells. UCA1 inhibition exerted contrary effects. Silenced EZH2 reversed the effects of UCA1 elevation on sepsis-induced pneumonia. UCA1 targeted EZH2 that interacted with HOXA1. UCA1 overexpression upregulates EZH2 to repress HOXA1 expression, thus aggravating the progression of sepsis-induced pneumonia, which could be alleviated by EZH2 inhibition.

CRISPR/Cas9: A Molecular Tool for Ovarian Cancer Management beyond Gene Editing

Ovarian cancer manifests with early metastases and has an adverse outcome, impacting the health of women globally. Currently, this malignancy is often treated with cytoreductive surgery and platinum-based chemotherapy. This treatment option has a limited success rate due to tumor recurrence and chemoresistance. Consequently, the fundamental objective of ovarian cancer treatment is the development of novel treatment approaches. As a new robust tool, the CRISPR/Cas9 gene-editing system has shown immense promise in elucidating the molecular basis of all the facets of ovarian cancer. Due to the precise gene editing capabilities of CRISPR-Cas9, researchers have been able to conduct a more comprehensive investigation of the genesis of ovarian cancer. This gained knowledge can be translated into the development of novel diagnostic approaches and newer therapeutic targets for this dreadful malignancy. There is encouraging preclinical evidence that suggests that CRISPR/Cas9 is a powerful versatile tool for selectively targeting cancer cells and inhibiting tumor growth, establishing new signaling pathways involved in carcinogenesis, and verifying biomolecules as druggable targets. In this review, we analyzed the current research and progress made using CRISPR/Cas9-based engineering strategies in the diagnosis and treatment, as well as the challenges in bringing this method to clinics. This comprehensive analysis will lay the basis for subsequent research in the future for the treatment of ovarian cancer.

Expression and molecular profiles of the AlkB family in ovarian serous carcinoma

AlkB family of Fe (II) and α-ketoglutarate-dependent dioxygenases plays essential roles in development of ovarian serous carcinoma (OV). However, the molecular profiles of AlkB family in OV have not been clarified. The results indicated that the expression of ALKBH1/3/5/8 and FTO was lower in OV patients while ALKBH2/4/6/7 expression was higher. There was a strong correlation between ALKBH5/7 and pathological stage of OV patients. Kaplan-Meier plotter revealed that OV patients with high ALKBH4 level showed longer overall survival (OS). However, patients with high levels of ALKBH5/6 and FTO showed shorter OS and progression-free survival (PFS). Genetic alterations using cBioPortal revealed that the alteration rates of FTO were the highest. We also found that the functions of AlkB family were linked to several cancer-associated signaling pathways, including chemokine receptor signaling. TIMER database indicated that the AlkB family had a strong relationship with the infiltration of six types of immune cells (macrophages, neutrophils, CD8+ T-cells, B-cells, CD4+ T-cells and dendritic cells). Next, DiseaseMeth databases revealed that the global methylation levels of ALKBH1/2/3/4/5/6/7/8 and FTO were all lower in OV patients. Thus, our findings will enhance the understanding of AlkB family in OV pathology, and provide novel insights into AlkB-targeted therapy for OV patients.