System-wide analysis reveals a complex network of tumor-fibroblast interactions involved in tumorigenicity.
System-wide analysis reveals a complex network of tumor-fibroblast interactions involved in tumorigenicity.
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DOI:
10.1371/journal.pgen.1003789
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发表时间:
2013
期刊:
影响因子:
4.5
通讯作者:
Powers RS
中科院分区:
文献类型:
--
作者:
Rajaram M;Li J;Egeblad M;Powers RS
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. There is increasing interest in developing methods to treat cancer by targeting non-cancer cells that play supportive roles in the tumor microenvironment. One type of non-cancer cell that has received considerable attention along these lines is cancer-associated fibroblasts, which can promote tumor formation and tumor growth. There have been several studies showing that inhibition of individual fibroblast genes or proteins dramatically reduces the tumor supportive function of fibroblasts. From the perspective of developing a therapeutic strategy, what remains unclear is whether the several different important factors discovered to date reflect the requirement of a multitude of fibroblast factors to promote tumorigenicity, or whether it reflects the diversity of the epithelial cancer cells and fibroblasts used in these different studies. Here, we addressed this question directly using a single system of fibroblasts and breast cancer epithelial cells. Importantly, we found that a multitude of fibroblast factors are indeed required to promote tumorigenicity, and that they have different effects on the tumor microenvironment. Furthermore, we found that inhibiting multiple fibroblast-secreted factors is more efficacious than blocking individual factors. These results suggest that fibroblasts and cancer cells act through multiple parallel pathways and that effective anti-stromal therapeutic strategies will need to be multi-targeted.
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DOI:
10.1146/annurev-pathol-121808-102144
发表时间:
2010
期刊:
Annual review of pathology
影响因子:
--
作者:
Coppé JP;Desprez PY;Krtolica A;Campisi J
通讯作者:
Campisi J
影响因子:
11.2
作者:
Cheng, Nikki;Chytil, Anna;Mosesi, Harold L.
通讯作者:
Mosesi, Harold L.
DOI:
10.1186/bcr1775
发表时间:
2007
期刊:
Breast cancer research : BCR
影响因子:
--
作者:
Holliday DL;Hughes S;Shaw JA;Walker RA;Jones JL
通讯作者:
Jones JL
影响因子:
6.4
作者:
Jung, Da-Woon;Che, Zhong Min;Kim, Jin
通讯作者:
Kim, Jin
影响因子:
50.3
作者:
Allinen, M;Beroukhim, R;Polyak, K
通讯作者:
Polyak, K