Exosomal circSIPA1L3-mediated intercellular communication contributes to glucose metabolic reprogramming and progression of triple negative breast cancer. 2024

Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, Shandong, 250012, P.R. China.

BACKGROUND Breast cancer is the most common malignant tumor, and metastasis remains the major cause of poor prognosis. Glucose metabolic reprogramming is one of the prominent hallmarks in cancer, providing nutrients and energy to support dramatically elevated tumor growth and metastasis. Nevertheless, the potential mechanistic links between glycolysis and breast cancer progression have not been thoroughly elucidated. METHODS RNA-seq analysis was used to identify glucose metabolism-related circRNAs. The expression of circSIPA1L3 in breast cancer tissues and serum was examined by qRT-PCR, and further assessed its diagnostic value. We also evaluated the prognostic potential of circSIPA1L3 by analyzing a cohort of 238 breast cancer patients. Gain- and loss-of-function experiments, transcriptomic analysis, and molecular biology experiments were conducted to explore the biological function and regulatory mechanism of circSIPA1L3. RESULTS Using RNA-seq analysis, circSIPA1L3 was identified as the critical mediator responsible for metabolic adaption upon energy stress. Gain- and loss-of-function experiments revealed that circSIPA1L3 exerted a stimulative effect on breast cancer progression and glycolysis, which could also be transported by exosomes and facilitated malignant behaviors among breast cancer cells. Significantly, the elevated lactate secretion caused by circSIPA1L3-mediated glycolysis enhancement promoted the recruitment of tumor associated macrophage and their tumor-promoting roles. Mechanistically, EIF4A3 induced the cyclization and cytoplasmic export of circSIPA1L3, which inhibited ubiquitin-mediated IGF2BP3 degradation through enhancing the UPS7-IGF2BP3 interaction. Furthermore, circSIPA1L3 increased mRNA stability of the lactate export carrier SLC16A1 and the glucose intake enhancer RAB11A through either strengthening their interaction with IGF2BP3 or sponging miR-665, leading to enhanced glycolytic metabolism. Clinically, elevated circSIPA1L3 expression indicated unfavorable prognosis base on the cohort of 238 breast cancer patients. Moreover, circSIPA1L3 was highly expressed in the serum of breast cancer patients and exhibited high diagnostic value for breast cancer patients. CONCLUSIONS Our study highlights the oncogenic role of circSIPA1L3 through mediating glucose metabolism, which might serve as a promising diagnostic and prognostic biomarker and potential therapeutic target for breast cancer.

UI MeSH Term Description Entries
D008565 Membrane Proteins Proteins which are found in membranes including cellular and intracellular membranes. They consist of two types, peripheral and integral proteins. They include most membrane-associated enzymes, antigenic proteins, transport proteins, and drug, hormone, and lectin receptors. Cell Membrane Protein,Cell Membrane Proteins,Cell Surface Protein,Cell Surface Proteins,Integral Membrane Proteins,Membrane-Associated Protein,Surface Protein,Surface Proteins,Integral Membrane Protein,Membrane Protein,Membrane-Associated Proteins,Membrane Associated Protein,Membrane Associated Proteins,Membrane Protein, Cell,Membrane Protein, Integral,Membrane Proteins, Integral,Protein, Cell Membrane,Protein, Cell Surface,Protein, Integral Membrane,Protein, Membrane,Protein, Membrane-Associated,Protein, Surface,Proteins, Cell Membrane,Proteins, Cell Surface,Proteins, Integral Membrane,Proteins, Membrane,Proteins, Membrane-Associated,Proteins, Surface,Surface Protein, Cell
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D005260 Female Females
D005947 Glucose A primary source of energy for living organisms. It is naturally occurring and is found in fruits and other parts of plants in its free state. It is used therapeutically in fluid and nutrient replacement. Dextrose,Anhydrous Dextrose,D-Glucose,Glucose Monohydrate,Glucose, (DL)-Isomer,Glucose, (alpha-D)-Isomer,Glucose, (beta-D)-Isomer,D Glucose,Dextrose, Anhydrous,Monohydrate, Glucose
D006019 Glycolysis A metabolic process that converts GLUCOSE into two molecules of PYRUVIC ACID through a series of enzymatic reactions. Energy generated by this process is conserved in two molecules of ATP. Glycolysis is the universal catabolic pathway for glucose, free glucose, or glucose derived from complex CARBOHYDRATES, such as GLYCOGEN and STARCH. Embden-Meyerhof Pathway,Embden-Meyerhof-Parnas Pathway,Embden Meyerhof Parnas Pathway,Embden Meyerhof Pathway,Embden-Meyerhof Pathways,Pathway, Embden-Meyerhof,Pathway, Embden-Meyerhof-Parnas,Pathways, Embden-Meyerhof
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000079962 RNA, Circular RNA molecules in which the 3' and 5' ends are covalently joined to form a closed continuous loop. They are resistant to digestion by EXORIBONUCLEASES. Circular Intronic RNA,Circular RNA,Circular RNAs,Closed Circular RNA,ciRNA,circRNA,circRNAs,Circular RNA, Closed,Intronic RNA, Circular,RNA, Circular Intronic,RNA, Closed Circular,RNAs, Circular
D000097784 Metabolic Reprogramming Various cellular responses cells undergo in order to sustain energy production under cellular METABOLIC STRESS. Oncogenic metabolic reprogramming is one of the hallmarks of cancer progression and metastasis. Metabolic Programming,Metabolism Programming,Metabolism Reprogramming,Metabolic Programmings,Metabolism Programmings,Programming, Metabolic,Programming, Metabolism,Reprogramming, Metabolic,Reprogramming, Metabolism
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D014408 Biomarkers, Tumor Molecular products metabolized and secreted by neoplastic tissue and characterized biochemically in cells or BODY FLUIDS. They are indicators of tumor stage and grade as well as useful for monitoring responses to treatment and predicting recurrence. Many chemical groups are represented including HORMONES; ANTIGENS; amino and NUCLEIC ACIDS; ENZYMES; POLYAMINES; and specific CELL MEMBRANE PROTEINS and LIPIDS. Biochemical Tumor Marker,Cancer Biomarker,Carcinogen Markers,Markers, Tumor,Metabolite Markers, Neoplasm,Tumor Biomarker,Tumor Marker,Tumor Markers, Biochemical,Tumor Markers, Biological,Biochemical Tumor Markers,Biological Tumor Marker,Biological Tumor Markers,Biomarkers, Cancer,Marker, Biochemical Tumor,Marker, Biologic Tumor,Marker, Biological Tumor,Marker, Neoplasm Metabolite,Marker, Tumor Metabolite,Markers, Biochemical Tumor,Markers, Biological Tumor,Markers, Neoplasm Metabolite,Markers, Tumor Metabolite,Metabolite Markers, Tumor,Neoplasm Metabolite Markers,Tumor Markers, Biologic,Tumor Metabolite Marker,Biologic Tumor Marker,Biologic Tumor Markers,Biomarker, Cancer,Biomarker, Tumor,Cancer Biomarkers,Marker, Tumor,Markers, Biologic Tumor,Markers, Carcinogen,Metabolite Marker, Neoplasm,Metabolite Marker, Tumor,Neoplasm Metabolite Marker,Tumor Biomarkers,Tumor Marker, Biochemical,Tumor Marker, Biologic,Tumor Marker, Biological,Tumor Markers,Tumor Metabolite Markers

Related Publications

Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
January 2020, Frontiers in oncology,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
February 2020, Cancer biology & medicine,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
January 2014, PloS one,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
April 2023, International journal of molecular sciences,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
May 2020, International journal of biological macromolecules,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
May 2021, EMBO reports,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
April 2015, Proceedings of the National Academy of Sciences of the United States of America,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
June 2023, Cancers,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
July 2023, Discover. Oncology,
Yiran Liang, and Fangzhou Ye, and Dan Luo, and Li Long, and Yajie Wang, and Yuhan Jin, and Lei Wang, and Yaming Li, and Dianwen Han, and Bing Chen, and Wenjing Zhao, and Lijuan Wang, and Qifeng Yang
October 2022, Biomolecules,
Copied contents to your clipboard!