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基底样特征四重阴性乳腺癌中的 microRNAs 影响非裔美国人的总生存期。

MicroRNAs within the Basal-like signature of Quadruple Negative Breast Cancer impact overall survival in African Americans.

机构信息

Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL, 36088, USA.

Department of Pathology, University of South Alabama, Mobile, AL, 36604, USA.

出版信息

Sci Rep. 2022 Dec 22;12(1):22178. doi: 10.1038/s41598-022-26000-9.

DOI:10.1038/s41598-022-26000-9
PMID:36550153
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9780260/
Abstract

We previously found that QNBC tumors are more frequent in African Americans compared to TNBC tumors. To characterize this subtype further, we sought to determine the miRNA-mRNA profile in QNBC patients based on race. Both miRNA and mRNA expression data were analyzed from TCGA and validated using datasets from the METABRIC, TCGA proteomic, and survival analysis by KMPLOT. miRNA-mRNAs which include FOXA1 and MYC (mir-17/20a targets); GATA3 and CCNG2 (mir-135b targets); CDKN2A, CDK6, and B7-H3 (mir-29c targets); and RUNX3, KLF5, IL1-β, and CTNNB1 (mir-375 targets) were correlated with basal-like and immune subtypes in QNBC patients and associated with a worse survival. Thus, QNBC tumors have an altered gene signature implicated in racial disparity and poor survival.

摘要

我们之前发现，与三阴性乳腺癌（TNBC）相比，非洲裔美国人中 QNBC 肿瘤更为常见。为了进一步描述这种亚型，我们试图根据种族确定 QNBC 患者的 miRNA-mRNA 图谱。TCGA 分析了 miRNA 和 mRNA 表达数据，并使用来自 METABRIC、TCGA 蛋白质组学和 KMPLOT 生存分析的数据集进行了验证。miRNA-mRNAs 包括 FOXA1 和 MYC（mir-17/20a 靶标）；GATA3 和 CCNG2（mir-135b 靶标）；CDKN2A、CDK6 和 B7-H3（mir-29c 靶标）；以及 RUNX3、KLF5、IL1-β 和 CTNNB1（mir-375 靶标）与 QNBC 患者的基底样和免疫亚型相关，并与较差的生存相关。因此，QNBC 肿瘤具有改变的基因特征，与种族差异和不良预后相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/939f2b8a4603/41598_2022_26000_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/2a8840c45471/41598_2022_26000_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/68db0fc794bb/41598_2022_26000_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/9febbce39bc8/41598_2022_26000_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/939f2b8a4603/41598_2022_26000_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/2a8840c45471/41598_2022_26000_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/b46534951145/41598_2022_26000_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/e86c1775779c/41598_2022_26000_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/a2f89f15fc95/41598_2022_26000_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/68db0fc794bb/41598_2022_26000_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/9febbce39bc8/41598_2022_26000_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51ec/9780260/939f2b8a4603/41598_2022_26000_Fig7_HTML.jpg

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Biomedicines. 2022 Feb 2;10(2):366. doi: 10.3390/biomedicines10020366.
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