Institute of Biochemistry I, Faculty of Medicine, Goethe-University Frankfurt, 60590 Frankfurt, Germany.
Buchmann Institute for Molecular Life Sciences (BMLS), Goethe University Frankfurt, 60438 Frankfurt, Germany.
Int J Mol Sci. 2019 Sep 9;20(18):4438. doi: 10.3390/ijms20184438.
Cancer-associated fibroblasts (CAFs) in the tumor microenvironment contribute to all stages of tumorigenesis and are usually considered to be tumor-promoting cells. CAFs show a remarkable degree of heterogeneity, which is attributed to developmental origin or to local environmental niches, resulting in distinct CAF subsets within individual tumors. While CAF heterogeneity is frequently investigated in late-stage tumors, data on longitudinal CAF development in tumors are lacking. To this end, we used the transgenic polyoma middle T oncogene-induced mouse mammary carcinoma model and performed whole transcriptome analysis in FACS-sorted fibroblasts from early- and late-stage tumors. We observed a shift in fibroblast populations over time towards a subset previously shown to negatively correlate with patient survival, which was confirmed by multispectral immunofluorescence analysis. Moreover, we identified a transcriptomic signature distinguishing CAFs from early- and late-stage tumors. Importantly, the signature of early-stage CAFs correlated well with tumor stage and survival in human mammary carcinoma patients. A random forest analysis suggested predictive value of the complete set of differentially expressed genes between early- and late-stage CAFs on bulk tumor patient samples, supporting the clinical relevance of our findings. In conclusion, our data show transcriptome alterations in CAFs during tumorigenesis in the mammary gland, which suggest that CAFs are educated by the tumor over time to promote tumor development. Moreover, we show that murine CAF gene signatures can harbor predictive value for human cancer.
肿瘤微环境中的癌症相关成纤维细胞(CAFs)促进肿瘤发生的各个阶段,通常被认为是促进肿瘤的细胞。CAFs 表现出显著的异质性,这归因于发育起源或局部环境小生境,导致单个肿瘤内存在不同的 CAF 亚群。虽然 CAF 的异质性在晚期肿瘤中经常被研究,但缺乏关于肿瘤中 CAF 纵向发育的数据。为此,我们使用转 Polyoma 中 T 癌基因诱导的小鼠乳腺肿瘤模型,并对来自早期和晚期肿瘤的 FACS 分选的成纤维细胞进行全转录组分析。我们观察到随着时间的推移,成纤维细胞群体向以前显示与患者生存呈负相关的亚群转移,这通过多光谱免疫荧光分析得到了证实。此外,我们确定了区分早期和晚期肿瘤 CAFs 的转录组特征。重要的是,早期 CAFs 的特征与人类乳腺肿瘤患者的肿瘤分期和生存密切相关。随机森林分析表明,早期和晚期 CAFs 之间差异表达基因集在大量肿瘤患者样本上的预测价值,支持我们研究结果的临床相关性。总之,我们的数据显示乳腺肿瘤发生过程中成纤维细胞的转录组改变,表明 CAFs 随着时间的推移被肿瘤教育以促进肿瘤发展。此外,我们表明,鼠类 CAF 基因特征可能对人类癌症具有预测价值。