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系统分析揭示了一个涉及肿瘤发生的肿瘤-成纤维细胞相互作用的复杂网络。

System-wide analysis reveals a complex network of tumor-fibroblast interactions involved in tumorigenicity.

机构信息

Cancer Genome Center, Cold Spring Harbor Laboratory, Woodbury, New York, United States of America ; Graduate Program in Genetics, Stony Brook University, Stony Brook, New York, United States of America.

出版信息

PLoS Genet. 2013;9(9):e1003789. doi: 10.1371/journal.pgen.1003789. Epub 2013 Sep 19.

Abstract

Many fibroblast-secreted proteins promote tumorigenicity, and several factors secreted by cancer cells have in turn been proposed to induce these proteins. It is not clear whether there are single dominant pathways underlying these interactions or whether they involve multiple pathways acting in parallel. Here, we identified 42 fibroblast-secreted factors induced by breast cancer cells using comparative genomic analysis. To determine what fraction was active in promoting tumorigenicity, we chose five representative fibroblast-secreted factors for in vivo analysis. We found that the majority (three out of five) played equally major roles in promoting tumorigenicity, and intriguingly, each one had distinct effects on the tumor microenvironment. Specifically, fibroblast-secreted amphiregulin promoted breast cancer cell survival, whereas the chemokine CCL7 stimulated tumor cell proliferation while CCL2 promoted innate immune cell infiltration and angiogenesis. The other two factors tested had minor (CCL8) or minimally (STC1) significant effects on the ability of fibroblasts to promote tumor growth. The importance of parallel interactions between fibroblasts and cancer cells was tested by simultaneously targeting fibroblast-secreted amphiregulin and the CCL7 receptor on cancer cells, and this was significantly more efficacious than blocking either pathway alone. We further explored the concept of parallel interactions by testing the extent to which induction of critical fibroblast-secreted proteins could be achieved by single, previously identified, factors produced by breast cancer cells. We found that although single factors could induce a subset of genes, even combinations of factors failed to induce the full repertoire of functionally important fibroblast-secreted proteins. Together, these results delineate a complex network of tumor-fibroblast interactions that act in parallel to promote tumorigenicity and suggest that effective anti-stromal therapeutic strategies will need to be multi-targeted.

摘要

许多成纤维细胞分泌的蛋白促进了肿瘤发生,而癌细胞分泌的几种因子反过来被认为可以诱导这些蛋白。目前尚不清楚这些相互作用是否存在单一主导途径,或者它们是否涉及多个平行作用的途径。在这里,我们使用比较基因组分析鉴定了乳腺癌细胞诱导的 42 种成纤维细胞分泌因子。为了确定哪些因子在促进肿瘤发生方面具有活性,我们选择了五种有代表性的成纤维细胞分泌因子进行体内分析。我们发现,大多数(五种中的三种)在促进肿瘤发生方面发挥了同等重要的作用,有趣的是,每种因子对肿瘤微环境都有独特的影响。具体来说,成纤维细胞分泌的 Amphiregulin 促进了乳腺癌细胞的存活,而趋化因子 CCL7 刺激了肿瘤细胞的增殖,而 CCL2 则促进了固有免疫细胞的浸润和血管生成。另外两种测试的因子对成纤维细胞促进肿瘤生长的能力只有较小(CCL8)或最小(STC1)的显著影响。通过同时靶向成纤维细胞分泌的 Amphiregulin 和癌细胞上的 CCL7 受体,测试了成纤维细胞和癌细胞之间平行相互作用的重要性,这种方法比单独阻断任何一种途径都更有效。我们通过测试单个先前鉴定的乳腺癌细胞产生的因子在多大程度上可以诱导关键的成纤维细胞分泌蛋白,进一步探索了平行相互作用的概念。我们发现,尽管单个因子可以诱导一部分基因,但即使是因子组合也不能诱导所有具有功能重要性的成纤维细胞分泌蛋白。这些结果共同描绘了一个复杂的肿瘤-成纤维细胞相互作用网络,这些作用平行地促进了肿瘤发生,并表明有效的抗基质治疗策略将需要多靶向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8998/3778011/925ee0bb38dc/pgen.1003789.g001.jpg

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