Increased Cell Growth Response to Lysophosphatidic Acid (LPA) of Lung Cancer Cells via LPA Receptor Signaling Induced by Cooperative Action of Lymphatic Endothelial Cells and Fibroblasts.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yuka Kusumoto, Shion Nagano, Moemi Tamura, Nanami Shimomura, Narumi Yashiro, Mao Yamamoto, Miwa Takai, Toshifumi Tsujiuchi
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引用次数: 0

Abstract

Lysophosphatidic acid (LPA) receptors (LPA1 to LPA6) are implicated in cancer pathogenesis. Stromal cells within the tumor microenvironment contribute to the malignant progression of cancer cells. Given that stromal cells can contribute to the malignant behavior of tumor cells, this study investigated the role of LPA receptor-mediated signaling in modulating stromal cell-induced cancer cell growth. Lung cancer A549 cells were co-cultured with lymphatic endothelial SVEC4-10 cells and/or fibroblast 3T3 cells, or cultured in their respective supernatant. Co-culture with SVEC4-10 and/or 3T3 cells altered the expression of LPAR1, LPAR2, and LPAR5 genes in A549 cells. LPA enhanced A549 cell growth in the supernatant derived from co-cultured SVEC4-10 and 3T3 cells, exceeding the effects observed in the supernatant from SVEC4-10 or 3T3 cells alone. A549 cell growth was suppressed by AM966 (LPA1 antagonist) and TC LPA5 4 (LPA5 antagonist), and promoted by GRI-977143 (LPA2 agonist). Autotaxin (ATX) expression was upregulated in A549 cells co-cultured with SVEC4-10 and/or 3T3 cells, and lysophosphatidylcholine (LPC) treatment enhanced A549 cell growth in the co-culture supernatant of both cell types. Mouse lung cancer LL/2 cells also showed increased growth in response to LPA when cultured with the co-culture supernatant, and this effect was inhibited by AM966 and TC LPA5 4, and promoted by GRI-977143. These findings suggest that co-culture of SVEC4-10 and 3T3 cells more effectively promotes lung cancer cell growth through LPA receptor signaling than either cell type alone.

淋巴内皮细胞和成纤维细胞协同作用诱导LPA受体信号通路增强肺癌细胞对溶血磷脂酸(LPA)的生长反应
溶血磷脂酸(LPA)受体(LPA1至LPA6)与癌症发病有关。肿瘤微环境中的基质细胞参与癌细胞的恶性发展。鉴于基质细胞可以促进肿瘤细胞的恶性行为,本研究探讨了LPA受体介导的信号传导在基质细胞诱导的癌细胞生长中的作用。肺癌A549细胞与淋巴内皮细胞SVEC4-10和/或成纤维细胞3T3共培养,或分别在其上清液中培养。与SVEC4-10和/或3T3细胞共培养可改变A549细胞中LPAR1、LPAR2和LPAR5基因的表达。LPA在SVEC4-10和3T3细胞共培养的上清液中促进了A549细胞的生长,超过了SVEC4-10或3T3细胞单独培养的上清液的效果。AM966 (LPA1拮抗剂)和TC lpa54 (LPA5拮抗剂)抑制A549细胞的生长,GRI-977143 (LPA2拮抗剂)促进A549细胞的生长。在与SVEC4-10和/或3T3细胞共培养的A549细胞中,Autotaxin (ATX)表达上调,lysophatidylcholine (LPC)处理促进了A549细胞在两种细胞类型共培养上清中的生长。小鼠肺癌LL/2细胞在共培养上清液中也表现出对LPA的响应,且这种作用被AM966和TC lpa54抑制,而被GRI-977143促进。这些发现表明,通过LPA受体信号传导,SVEC4-10和3T3细胞共培养比单独培养更有效地促进肺癌细胞生长。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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