Risk Signature of Cancer-Associated Fibroblast-Secreted Cytokines Associates With Clinical Outcomes of Breast Cancer.
Risk Signature of Cancer-Associated Fibroblast-Secreted Cytokines Associates With Clinical Outcomes of Breast Cancer.
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癌症相关成纤维细胞分泌的细胞因子的风险特征与乳腺癌的临床结果相关
DOI:
10.3389/fonc.2021.628677
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发表时间:
2021
影响因子:
4.7
通讯作者:
Li W
中科院分区:
文献类型:
--
作者:
Sun C;Wang S;Zhang Y;Yang F;Zeng T;Meng F;Yang M;Yang Y;Hua Y;Fu Z;Li J;Huang X;Wu H;Yin Y;Li W
Cancer-associated fibroblasts (CAFs) are key components in tumor microenvironment (TME). The secreted products of CAFs play important roles in regulating tumor cells and further impacting clinical prognosis. This study aims to reveal the relationship between CAF-secreted cytokines and breast cancer (BC) by constructing the risk signature. We performed three algorithms to reveal CAF-related cytokines in the TCGA BC dataset and identified five prognosis-related cytokines. Then we used single-cell RNA sequencing (ScRNA-Seq) datasets of BC to confirm the expression level of these five cytokines in CAFs. METABRIC and other independent datasets were utilized to validate the findings in further analyses. Based on the identified five-cytokine signature derived from CAFs, BC patients with high-risk score (RS) had shorter overall survival than low-RS cases. Further analysis suggested that the high-RS level correlated with cell proliferation and mast cell infiltration in BCs of the Basal-like subtype. The results also indicated that the level of RS could discriminate the high-risk BC cases harboring driver mutations (i.e., PI3KCA, CDH1, and TP53). Additionally, the status of five-cytokine signature was associated with the frequency and molecular timing of whole genome duplication (WGD) events. Intratumor heterogeneity (ITH) analysis among BC samples indicated that the high-RS level was associated with the increase of tumor subclones. This work demonstrated that the prognostic signature based on CAF-secreted cytokines was associated with clinical outcome, tumor progression, and genetic alteration. Our findings may provide insights to develop novel strategies for early intervention and prognostic prediction of BC.
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影响因子:
16.6
作者:
Cortes-Ciriano I;Lee S;Park WY;Kim TM;Park PJ
通讯作者:
Park PJ
影响因子:
6.6
作者:
Beckham, Carla J.;Olsen, Jayme;Lee, Yi-Fen
通讯作者:
Lee, Yi-Fen
DOI:
10.1073/pnas.1320318110
发表时间:
2013-12-10
影响因子:
11.1
作者:
Feig, Christine;Jones, James O.;Fearon, Douglas T.
通讯作者:
Fearon, Douglas T.
影响因子:
28.2
作者:
Elyada, Ela;Bolisetty, Mohan;Tuveson, David A.
通讯作者:
Tuveson, David A.
影响因子:
50.3
作者:
Costa, Ana;Kieffer, Yann;Mechta-Grigoriou, Fatima
通讯作者:
Mechta-Grigoriou, Fatima