Poplawski Piotr, Alseekh Saleh, Jankowska Urszula, Skupien-Rabian Bozena, Iwanicka-Nowicka Roksana, Kossowska Helena, Fogtman Anna, Rybicka Beata, Bogusławska Joanna, Adamiok-Ostrowska Anna, Hanusek Karolina, Hanusek Jan, Koblowska Marta, Fernie Alisdair R, Piekiełko-Witkowska Agnieszka
Department of Biochemistry and Molecular Biology, Centre of Postgraduate Medical Education, ul. Marymoncka 99/103, 01-813, Warsaw, Poland.
Max-Planck Institute of Molecular Plant Physiology, Golm, 14476, Potsdam, Germany.
Cancer Cell Int. 2023 Jan 5;23(1):2. doi: 10.1186/s12935-022-02845-y.
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer. The molecules (proteins, metabolites) secreted by tumors affect their extracellular milieu to support cancer progression. If secreted in amounts detectable in plasma, these molecules can also serve as useful, minimal invasive biomarkers. The knowledge of ccRCC tumor microenvironment is fragmentary. In particular, the links between ccRCC transcriptome and the composition of extracellular milieu are weakly understood. In this study, we hypothesized that ccRCC transcriptome is reprogrammed to support alterations in tumor microenvironment. Therefore, we comprehensively analyzed ccRCC extracellular proteomes and metabolomes as well as transcriptomes of ccRCC cells to find molecules contributing to renal tumor microenvironment.
Proteomic and metabolomics analysis of conditioned media isolated from normal kidney cells as well as five ccRCC cell lines was performed using mass spectrometry, with the following ELISA validation. Transcriptomic analysis was done using microarray analysis and validated using real-time PCR. Independent transcriptomic and proteomic datasets of ccRCC tumors were used for the analysis of gene and protein expression as well as the level of the immune infiltration.
Renal cancer secretome contained 85 proteins detectable in human plasma, consistently altered in all five tested ccRCC cell lines. The top upregulated extracellular proteins included SPARC, STC2, SERPINE1, TGFBI, while downregulated included transferrin and DPP7. The most affected extracellular metabolites were increased 4-hydroxy-proline, succinic acid, cysteine, lactic acid and downregulated glutamine. These changes were associated with altered expression of genes encoding the secreted proteins (SPARC, SERPINE1, STC2, DPP7), membrane transporters (SLC16A4, SLC6A20, ABCA12), and genes involved in protein trafficking and secretion (KIF20A, ANXA3, MIA2, PCSK5, SLC9A3R1, SYTL3, and WNTA7). Analogous expression changes were found in ccRCC tumors. The expression of SPARC predicted the infiltration of ccRCC tumors with endothelial cells. Analysis of the expression of the 85 secretome genes in > 12,000 tumors revealed that SPARC is a PanCancer indicator of cancer-associated fibroblasts' infiltration.
Transcriptomic reprogramming of ccRCC supports the changes in an extracellular milieu which are associated with immune infiltration. The proteins identified in our study represent valuable cancer biomarkers detectable in plasma.
透明细胞肾细胞癌(ccRCC)是肾癌最常见的亚型。肿瘤分泌的分子(蛋白质、代谢物)会影响其细胞外环境以支持癌症进展。如果这些分子以可在血浆中检测到的量分泌,它们也可作为有用的、微创生物标志物。关于ccRCC肿瘤微环境的知识是零散的。特别是,ccRCC转录组与细胞外环境组成之间的联系了解甚少。在本研究中,我们假设ccRCC转录组被重新编程以支持肿瘤微环境的改变。因此,我们全面分析了ccRCC细胞外蛋白质组和代谢组以及ccRCC细胞的转录组,以寻找有助于肾肿瘤微环境的分子。
使用质谱对从正常肾细胞以及五种ccRCC细胞系分离的条件培养基进行蛋白质组学和代谢组学分析,并进行以下ELISA验证。使用微阵列分析进行转录组分析,并使用实时PCR进行验证。ccRCC肿瘤的独立转录组和蛋白质组数据集用于分析基因和蛋白质表达以及免疫浸润水平。
肾癌分泌组包含85种可在人血浆中检测到的蛋白质,在所有五个测试的ccRCC细胞系中均持续发生改变。上调的细胞外蛋白质包括SPARC、STC2、SERPINE1、TGFBI,而下调的包括转铁蛋白和DPP7。受影响最大的细胞外代谢物是4-羟基脯氨酸、琥珀酸、半胱氨酸、乳酸增加,谷氨酰胺下调。这些变化与编码分泌蛋白(SPARC、SERPINE1、STC2、DPP7)、膜转运蛋白(SLC16A4、SLC6A20、ABCA12)以及参与蛋白质运输和分泌的基因(KIF20A、ANXA3、MIA2、PCSK5、SLC9A3R1、SYTL3和WNTA7)的表达改变有关。在ccRCC肿瘤中发现了类似的表达变化。SPARC的表达预测了ccRCC肿瘤内皮细胞的浸润。对超过12,000个肿瘤中85个分泌组基因表达的分析表明,SPARC是癌症相关成纤维细胞浸润的泛癌指标。
ccRCC的转录组重编程支持与免疫浸润相关的细胞外环境变化。我们研究中鉴定的蛋白质代表了可在血浆中检测到的有价值的癌症生物标志物。