Cancer-associated adipocyte-derived G-CSF promotes breast cancer malignancy via Stat3 signaling.
Cancer-associated adipocyte-derived G-CSF promotes breast cancer malignancy via Stat3 signaling.
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癌症相关脂肪细胞衍生的 G-CSF 通过 Stat3 信号传导促进乳腺癌恶性肿瘤
DOI:
10.1093/jmcb/mjaa016
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发表时间:
2020-09-01
影响因子:
5.5
通讯作者:
Yan X
中科院分区:
文献类型:
--
作者:
Liu L;Wu Y;Zhang C;Zhou C;Li Y;Zeng Y;Zhang C;Li R;Luo D;Wang L;Zhang L;Tu S;Deng H;Luo S;Chen YG;Xiong X;Yan X
Abstract Adipocyte is the most predominant cell type in the tumor microenvironment of breast cancer and plays a pivotal role in cancer progression, yet the underlying mechanisms and functional mediators remain elusive. We isolated primary preadipocytes from mammary fat pads of human breast cancer patients and generated mature adipocytes and cancer-associated adipocytes (CAAs) in vitro. The CAAs exhibited significantly different gene expression profiles as assessed by transcriptome sequencing. One of the highly expressed genes in CAAs is granulocyte colony-stimulating factor (G-CSF). Treatment with recombinant human G-CSF protein or stable expression of human G-CSF in triple-negative breast cancer (TNBC) cell lines enhanced epithelial–mesenchymal transition, migration, and invasion of cancer cells, by activating Stat3. Accordantly, targeting G-CSF/Stat3 signaling with G-CSF-neutralizing antibody, a chemical inhibitor, or siRNAs for Stat3 could all abrogate CAA- or G-CSF-induced migration and invasion of breast cancer cells. The pro-invasive genes MMP2 and MMP9 were identified as target genes of G-CSF in TNBC cells. Furthermore, in human breast cancer tissues, elevated G-CSF expression in adipocytes is well correlated with activated Stat3 signal in cancer cells. Together, our results suggest a novel strategy to intervene with invasive breast cancers by targeting CAA-derived G-CSF.
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DOI:
10.1186/s13058-016-0740-2
发表时间:
2016-08-11
期刊:
Breast cancer research : BCR
影响因子:
--
作者:
Bussard KM;Mutkus L;Stumpf K;Gomez-Manzano C;Marini FC
通讯作者:
Marini FC
影响因子:
3.1
作者:
Luo M;Brooks M;Wicha MS
通讯作者:
Wicha MS
影响因子:
15.9
作者:
Iyengar, P;Espina, V;Scherer, PE
通讯作者:
Scherer, PE
影响因子:
4.8
作者:
Benesch, Matthew G. K.;Tang, Xiaoyun;Brindley, David N.
通讯作者:
Brindley, David N.
影响因子:
11.2
作者:
Arendt LM;McCready J;Keller PJ;Baker DD;Naber SP;Seewaldt V;Kuperwasser C
通讯作者:
Kuperwasser C