MicroRNA-324-3p inhibits osteosarcoma progression by suppressing PGAM1-mediated aerobic glycolysis

LncRNA SPINT1-AS1 enhances the Warburg effect and promotes the progression of osteosarcoma via the miR-135b-5p/PGAM1 axis

Osteosarcoma (OS) is a malignant bone tumor that originates from interstitial tissues and affects the health of children and adolescents. Long noncoding RNAs (lncRNAs) are an intriguing category of widely distributed endogenous RNAs involved in OS progression, many of which remain functionally uncharacterized. Herein, we observed an increased expression of lncRNA SPINT1-AS1 in OS tissues and cell lines. Further analysis confirmed that SPINT1-AS1 promotes the proliferation and metastasis of OS cells. Moreover, miR-135b-5p was identified as a downstream target of SPINT1-AS1. Through bioinformatics analysis, PGAM1 mRNA was validated as a target of miR-135b-5p via RIP and luciferase reporter assays. SPINT1-AS1 could enhance OS cell proliferation and metastasis by promoting aerobic glycolysis, acting as a ceRNA by binding to miR-135b-5p, thereby increasing PGAM1 expression. Taken together, these results indicate that SPINT1-AS1 functions as a tumor promoter and regulates OS cell progression through the miR-135b-5p/PGAM1 axis.

Integrative single-cell and bulk RNA-seq analysis identifies lactylation-related signature in osteosarcoma

Osteosarcoma is the most common bone tumor and a highly aggressive malignant neoplasm. This study aims to elucidate the role of lactylation-related genes (LRGs) in osteosarcoma, with the goal of improving prognostic accuracy and enhancing the efficacy of immunotherapy. Using public datasets, we integrated differential and correlated genes based on single-cell sequencing AUCell scores and performed enrichment analysis and risk model construction on these genes. A total of 277 genes were found to be intricately linked with lactate metabolism. Using the uni-Cox and LASSO algorithm, nine key genes were identified, demonstrating strong predictive power for the prognosis of Osteosarcoma patients. Notably, changes were observed at the levels of immune checkpoints, the tumor microenvironment (TME), drug sensitivity, and immune cell infiltration. This study paves the way for targeted drug interventions, thereby opening avenues for improving clinical outcomes in osteosarcoma.

PGAM1: a potential therapeutic target mediating Wnt/β-catenin signaling drives breast cancer progression

Phosphoglycerate mutase 1 (PGAM1) has been identified as a key player in the progression and metastasis of various human cancer types, including breast cancer (BC); however, its precise oncogenic mechanism remains unclear. The present study aimed to investigate the oncogenic mechanisms of PGAM1 and establish its potential as a therapeutic target. Comprehensive analyses from the Tumor Immune Estimation Resource 2.0 and The Cancer Genome Atlas databases revealed a significant upregulation of PGAM1 in BC, correlating with poor clinical outcomes. Additionally, elevated expression of PGAM1 was confirmed in clinical BC samples. Silencing PGAM1 with specific small hairpin RNA in BC cells resulted in a marked reduction in cell proliferation, invasiveness and migration, alongside increased apoptosis and cell cycle arrest. In vivo experiments using tumor-bearing nude mice demonstrated that PGAM1 knockdown significantly reduced tumor volume and weight, effectively inhibiting tumor growth. Mechanistic investigations suggested that PGAM1 promoted BC tumorigenesis through the activation of the Wnt/β-catenin signaling pathway, both in vitro and in vivo. Therefore, the upregulation of PGAM1 in BC enhances malignancy via the Wnt/β-catenin signaling pathway, highlighting PGAM1 as a promising therapeutic target for BC treatment.

LncRNA SNHG16 Drives PD-L1-Mediated Immune Escape in Colorectal Cancer through Regulating miR-324-3p/ELK4 Signaling

Colorectal cancer (CRC) is a common malignancy that claims the life of many patients. Nucleolar RNA host gene 16 (SNHG16) has been identified as an oncogene in CRC development. However, the role and mechanism of SNHG16 in CRC remain unclear. A total of 27 cases of CRC tumor tissues and adjacent tissues were collected to investigate the expression and correlation among SNHG16, miR-324-3p, ELK4 and PD-L1 using qRT-PCR, western blot and Pearson analysis. Cell proliferation, migration and invasion abilities were determined using CCK-8 and transwell assays. The cytotoxicity of CD8 + T cells and the apoptosis of CD8+ T cells was evaluated by LDH assay and flow cytometry, respectively. Dual luciferase assay, RIP and ChIP methods were performed to verify molecular interactions. Our results showed that SNHG16, ELK4 and PD-L1 expression were abnormally elevated and miR-324-3p expression was decreased in tumor tissues from CRC patients and CRC cells. SNHG16 silencing resulted in suppression of cell growth, metastasis, and immune escape of CRC cells, which was reversed by miR-324-3p inhibitor and ELK4 overexpression. Mechanistically, SNHG16 acted as a competitive endogenous RNA to enhance ELK4 expression by sponging miR-324-3p, thereby provoking the transcription of PD-L1. Our results demonstrated that SNHG16 silencing led to the suppression of cell growth, metastasis, and immune escape of CRC cells through mediating miR-324-3p/ELK4/PD-L1 axis, offering promising targets for CRC treatment.

Transcriptional regulation and post-translational modifications in the glycolytic pathway for targeted cancer therapy

Cancer cells largely rely on aerobic glycolysis or the Warburg effect to generate essential biomolecules and energy for their rapid growth. The key modulators in glycolysis including glucose transporters and enzymes, e.g. hexokinase 2, enolase 1, pyruvate kinase M2, lactate dehydrogenase A, play indispensable roles in glucose uptake, glucose consumption, ATP generation, lactate production, etc. Transcriptional regulation and post-translational modifications (PTMs) of these critical modulators are important for signal transduction and metabolic reprogramming in the glycolytic pathway, which can provide energy advantages to cancer cell growth. In this review we recapitulate the recent advances in research on glycolytic modulators of cancer cells and analyze the strategies targeting these vital modulators including small-molecule inhibitors and microRNAs (miRNAs) for targeted cancer therapy. We focus on the regulation of the glycolytic pathway at the transcription level (e.g., hypoxia-inducible factor 1, c-MYC, p53, sine oculis homeobox homolog 1, N6-methyladenosine modification) and PTMs (including phosphorylation, methylation, acetylation, ubiquitination, etc.) of the key regulators in these processes. This review will provide a comprehensive understanding of the regulation of the key modulators in the glycolytic pathway and might shed light on the targeted cancer therapy at different molecular levels.

miR-373-3p promotes aerobic glycolysis in colon cancer cells by targeting MFN2

MicroRNAs (miRNAs) are implicated in the development of cancers and may serve as potential targets for therapy. However, the functions and underlying mechanisms of miRNAs in cancers are not well understood. This work aims to study the role of miR-373-3p in colon cancer cells. We find that the expression of miR-373-3p mimics promotes and the miR-373-3p inhibitor suppresses aerobic glycolysis and proliferation of colon cancer cells. Mechanistically, miR-373-3p inhibits the expression of MFN2, a gene that is known to suppress glycolysis, which leads to the activation of glycolysis and eventually the proliferation of cells. In a nude mouse tumor model, the expression of miR-373-3p in colon cancer cells promotes tumor growth by enhancing lactate formation, which is inhibited by the co-expression of MFN2 in the cells. Administration of the miR-373-3p antagomir blunts in vivo tumor growth by decreasing lactate production. In addition, in human colon cancers, the expression levels of miR-373-3p are increased, while those of MFN2 mRNA are decreased, and the increase of miR-373-3p is associated with the decrease of MFN2 mRNA. Our results reveal a previously unknown function and underlying mechanism of miR-373-3p in the regulation of glycolysis and proliferation in cancer cells and underscore the potential of targeting miR-373-3p for colon cancer treatment.

Pan-Cancer Analysis of PGAM1 and Its Experimental Validation in Uveal Melanoma Progression

Phosphoglycerate mutase 1 (PGAM1) is a key enzyme regulating cancer glycolysis. However, the expression and function of PGAM1 in uveal melanoma (UVM) are unknown and systematic analysis is lacking. This study performed a comprehensive analysis of PGAM1 expression across 33 cancer types in multiple public databases. Results demonstrated PGAM1 is aberrantly overexpressed in most tumors compared to normal tissues, and this overexpression is associated with poor prognosis, advanced tumor staging, and aggressive clinical phenotypes in multiple cancers including UVM, lung, breast and bladder carcinomas. In addition, PGAM1 expression positively correlated with infiltration levels of tumor-promoting immune cells including macrophages, NK cells, myeloid dendritic cells, etc. Further experiments showed that PGAM1 was overexpressed in UVM cell lines and tissues, and it was positively associated with a poor prognosis of UVM patients. And knockdown of PGAM1 inhibited migration/invasion and induced apoptosis in UVM cells, followed by decreased levels of PD-L1, Snail, and BCl-2 and increased levels of E-cadherin. Additionally, the correlation analysis and molecular docking results suggest that PGAM1 could interact with PD-L1, Snail and BCl-2. Thus, PGAM1 may promote UVM pathogenesis via modulating immune checkpoint signaling, EMT and apoptosis. Collectively, this study reveals PGAM1 as a valuable prognostic biomarker and potential therapeutic target in aggressive cancers including UVM.

MiR362-3p Alleviates Osteosarcoma by Regulating the IL6ST/JAK2/STAT3 Pathway in Vivo and in Vitro

Objectives: To investigate the effects and the related signaling pathway of miR-362-3p on OS. Methods: The bioinformatics analysis approaches were employed to investigate the target pathway of miR-362-3p. After the 143B and U2OS cells and nu/nu male mice were randomly divided into blank control (BC) group, normal control (NC) group, and overexpression group (OG), the CCK-8, EdU staining, wound healing assay, Transwell assay, and TUNEL staining were adopted to respectively determine the effects of overexpressed miR-362-3p on the cell viability, proliferation, migration, invasion, and apoptosis of 143B and U2OS cells in vitro, tumor area assay and hematoxylin and eosin staining were employed to respectively determine the effects of overexpressed miR-362-3p on the growth and pathological injury of OS tissue in vivo. The qRT-PCR, Western blot, and immunohistochemical staining were applied to respectively investigate the effects of overexpressed miR-362-3p on the IL6ST/JAK2/STAT3 pathway in OS in vivo and in vitro. Results: The bioinformatics analysis approaches combined qRT-PCR indicated that the IL6ST/JAK2/STAT3 is one of the target pathways of miR-362-3p. Compared with NC, the cell viability, proliferation, migration, and invasion of 143B and U2OS cells were dramatically (P < 0.01) inhibited but the apoptosis was prominently (P <0 .0001) promoted in OG. Compared with NC, the growth of OS tissue was significantly (P < 0.05) suppressed and the pathological injury of OS tissue was substantially aggravated in OG. The gene expression levels of IL6ST, JAK2, and STAT3 and the protein expression levels of IL6ST, JAK2, p-JAK2, STAT3, and p-STAT3 in 143B and U2OS cells were memorably (P < 0.0001) lower in OG than those in NC. In addition, the positively stained areas of proteins of IL6ST, JAK2, p-JAK2, STAT3, and p-STAT3 of OS tissue in OG were markedly (P < 0.01) reduced compared with those in NC. Conclusion: The overexpression of miR362-3p alleviates OS by inhibiting the IL6ST/JAK2/STAT3 pathway in vivo and in vitro.

Significance of liquid-liquid phase separation (LLPS)-related genes in breast cancer: a multi-omics analysis

Currently, the role of liquid-liquid phase separation (LLPS) in cancer has been preliminarily explained. However, the significance of LLPS in breast cancer is unclear. In this study, single cell sequencing datasets GSE188600 and GSE198745 for breast cancer were downloaded from the GEO database. Transcriptome sequencing data for breast cancer were downloaded from UCSC database. We divided breast cancer cells into high-LLPS group and low-LLPS group by down dimension clustering analysis of single-cell sequencing data set, and obtained differentially expressed genes between the two groups. Subsequently, weighted co-expression network analysis (WGCNA) was performed on transcriptome sequencing data, and the module genes most associated with LLPS were obtained. COX regression and Lasso regression were performed and the prognostic model was constructed. Subsequently, survival analysis, principal component analysis, clinical correlation analysis, and nomogram construction were used to evaluate the significance of the prognostic model. Finally, cell experiments were used to verify the function of the model's key gene, PGAM1. We constructed a LLPS-related prognosis model consisting of nine genes: POLR3GL, PLAT, NDRG1, HMGB3, HSPH1, PSMD7, PDCD2, NONO and PGAM1. By calculating LLPS-related risk scores, breast cancer patients could be divided into high-risk and low-risk groups, with the high-risk group having a significantly worse prognosis. Cell experiments showed that the activity, proliferation, invasion and healing ability of breast cancer cell lines were significantly decreased after knockdown of the key gene PGAM1 in the model. Our study provides a new idea for prognostic stratification of breast cancer and provides a novel marker: PGAM1.