Stromal Activation by Tumor Cells: An in Vitro Study in Breast Cancer.

Giuseppe Merlino, Patrizia Miodini, Biagio Paolini, Maria Luisa Carcangiu, Massimiliano Gennaro, Matteo Dugo, Maria Grazia Daidone, Vera Cappelletti
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引用次数: 8

Abstract

Background: The tumor microenvironment participates in the regulation of tumor progression and influences treatment sensitivity. In breast cancer, it also may play a role in determining the fate of non-invasive lesions such as ductal carcinoma in situ (DCIS), a non-obligate precursor of invasive diseases, which is aggressively treated despite its indolent nature in many patients since no biomarkers are available to predict the progression of DCIS to invasive disease. In vitro models of stromal activation by breast tumor cells might provide clues as to specific stromal genes crucial for the transition from DCIS to invasive disease.

Methods: normal human dermal fibroblasts (NHDF) were treated under serum-free conditions with cell culture media conditioned by breast cancer cell lines (SkBr3, MDA-MB-468, T47D) for 72 h and subjected to gene expression profiling with Illumina platform.

Results: TGM2, coding for a tissue transglutaminase, was identified as candidate gene for stromal activation. In public transcriptomic datasets of invasive breast tumors TGM2 expression proved to provide prognostic information. Conversely, its role as an early biosensor of tumor invasiveness needs to be further investigated by in situ analyses.

Conclusion: Stromal TGM2 might probably be associated with precancerous evolution at earlier stages compared to DCIS.

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肿瘤细胞激活基质:乳腺癌的体外研究。
背景:肿瘤微环境参与肿瘤进展的调控,影响治疗敏感性。在乳腺癌中,它也可能在决定非侵袭性病变(如导管原位癌(DCIS))的命运中发挥作用,DCIS是侵袭性疾病的非特异性前兆,尽管在许多患者中它的惰性,但由于没有可用的生物标志物来预测DCIS向侵袭性疾病的进展,因此积极治疗DCIS。乳腺肿瘤细胞基质激活的体外模型可能为从DCIS向侵袭性疾病过渡的特定基质基因提供线索。方法:用乳腺癌细胞系(SkBr3、MDA-MB-468、T47D)培养的细胞培养基在无血清条件下处理正常人真皮成纤维细胞(NHDF) 72 h,在Illumina平台上进行基因表达谱分析。结果:编码组织转谷氨酰胺酶的TGM2被确定为基质激活的候选基因。在浸润性乳腺肿瘤的公开转录组数据中,TGM2的表达被证明提供了预后信息。相反,它作为肿瘤侵袭性的早期生物传感器的作用需要通过原位分析进一步研究。结论:与DCIS相比,基质TGM2可能与早期癌前病变相关。
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期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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