816 Metabolome analysis detected the lipid molecules which contribute to cell proliferation via lipid metabolism of epithelial ovarian cancer
Introduction/BackgroundPreviously we reported that lipolysis-stimulated lipoprotein receptor (LSR) mediates the cell proliferation via lipid metabolism in epithelial ovarian cancer. Our newly anti-LSR antibody demonstrated stronger anti-tumor effect against LSR positive epithelial ovarian cancer cel...
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Published in | International journal of gynecological cancer Vol. 33; no. Suppl 3; p. A311 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Oxford
BMJ Publishing Group LTD
01.09.2023
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Abstract | Introduction/BackgroundPreviously we reported that lipolysis-stimulated lipoprotein receptor (LSR) mediates the cell proliferation via lipid metabolism in epithelial ovarian cancer. Our newly anti-LSR antibody demonstrated stronger anti-tumor effect against LSR positive epithelial ovarian cancer cells in High-Fat Diet (HFD) fed mouse compared to Normal-Diet (ND) fed mouse. That suggests lipid molecules in HFD might contribute to cell proliferation via LSR. In this research, we performed metabolome analysis using HFD and ND fed mouse serum. We analyzed the metabolomic profile of lipid molecules.MethodologyWe established HFD and ND fed mouse and obtained each serum to perform metabolome analysis. We compared the metabolomic profile of HFD and ND fed mouse serum and identified the lipid metabolites which might associate with the cell proliferation. We evaluated the effect of lipid molecules on promoting cell proliferation and signaling pathway mediated via LSR.ResultsMetabolome analysis detected 210 metabolites, and PCA showed obviously different metabolic profiles of HFD mouse serum compared to ND mouse serum. PLS-DA also revealed cholesterol, oleic acid and arachidonic acid as lipid molecules with high VIP score. We revealed that these molecules significantly promoted the cell proliferation by cell proliferation assay (p<0.05) and these molecules activated the MAPK signaling pathway.ConclusionMetabolome analysis identified the lipid molecules which are associated to the cell proliferation of LSR positive epithelial ovarian cancer.DisclosuresI have no potential conflict of interest to report. |
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AbstractList | Introduction/BackgroundPreviously we reported that lipolysis-stimulated lipoprotein receptor (LSR) mediates the cell proliferation via lipid metabolism in epithelial ovarian cancer. Our newly anti-LSR antibody demonstrated stronger anti-tumor effect against LSR positive epithelial ovarian cancer cells in High-Fat Diet (HFD) fed mouse compared to Normal-Diet (ND) fed mouse. That suggests lipid molecules in HFD might contribute to cell proliferation via LSR. In this research, we performed metabolome analysis using HFD and ND fed mouse serum. We analyzed the metabolomic profile of lipid molecules.MethodologyWe established HFD and ND fed mouse and obtained each serum to perform metabolome analysis. We compared the metabolomic profile of HFD and ND fed mouse serum and identified the lipid metabolites which might associate with the cell proliferation. We evaluated the effect of lipid molecules on promoting cell proliferation and signaling pathway mediated via LSR.ResultsMetabolome analysis detected 210 metabolites, and PCA showed obviously different metabolic profiles of HFD mouse serum compared to ND mouse serum. PLS-DA also revealed cholesterol, oleic acid and arachidonic acid as lipid molecules with high VIP score. We revealed that these molecules significantly promoted the cell proliferation by cell proliferation assay (p<0.05) and these molecules activated the MAPK signaling pathway.ConclusionMetabolome analysis identified the lipid molecules which are associated to the cell proliferation of LSR positive epithelial ovarian cancer.DisclosuresI have no potential conflict of interest to report. |
Author | Nakagawa, Satoshi Watanabe, Yuko Kamei, Yuji Kakuda, Mamoru Kimura, Toshihiro Mukaida, Hitomi Hiramatsu, Kosuke Ueda, Yutaka Kobayashi, Mariya Kimura, Tadashi |
Author_xml | – sequence: 1 givenname: Hitomi surname: Mukaida fullname: Mukaida, Hitomi – sequence: 2 givenname: Kosuke surname: Hiramatsu fullname: Hiramatsu, Kosuke – sequence: 3 givenname: Mariya surname: Kobayashi fullname: Kobayashi, Mariya – sequence: 4 givenname: Yuko surname: Watanabe fullname: Watanabe, Yuko – sequence: 5 givenname: Yuji surname: Kamei fullname: Kamei, Yuji – sequence: 6 givenname: Mamoru surname: Kakuda fullname: Kakuda, Mamoru – sequence: 7 givenname: Satoshi surname: Nakagawa fullname: Nakagawa, Satoshi – sequence: 8 givenname: Toshihiro surname: Kimura fullname: Kimura, Toshihiro – sequence: 9 givenname: Yutaka surname: Ueda fullname: Ueda, Yutaka – sequence: 10 givenname: Tadashi surname: Kimura fullname: Kimura, Tadashi |
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Copyright | 2023 IGCS and ESGO 2023. No commercial re-use. See rights and permissions. Published by BMJ. |
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Title | 816 Metabolome analysis detected the lipid molecules which contribute to cell proliferation via lipid metabolism of epithelial ovarian cancer |
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