An Eleven-microRNA Signature Related to Tumor-Associated Macrophages Predicts Prognosis of Breast Cancer

被引:6
|
作者
Jayasingam, Sharmilla Devi [1 ]
Citartan, Marimuthu [2 ]
Zin, Anani Aila Mat [3 ]
Rozhdestvensky, Timofey S. [4 ,5 ]
Tang, Thean-Hock [2 ]
Ch'ng, Ewe Seng [1 ]
机构
[1] Univ Sains Malaysia, Dept Clin Med, Adv Med & Dent Inst AMDI, Kepala Batas 13200, Penang, Malaysia
[2] Univ Sains Malaysia, Adv Med & Dent Inst AMDI, Dept Biomed Sci, Kepala Batas 13200, Penang, Malaysia
[3] Univ Sains Malaysia, Dept Pathol, Sch Med Sci, Kubang Kerian 16150, Kelantan, Malaysia
[4] Univ Munster, Med Fac, Core Facil Transgen Anim & Genet Engn Models TRAM, D-48149 Munster, Germany
[5] AIMST Univ, Fac Appl Sci, Bedong 08100, Kedah, Malaysia
关键词
tumor-associated macrophages; M1; M2; miRNA; breast cancer; prognostic biomarker; miRNA-21; miRNA-146a; EPITHELIAL OVARIAN-CANCER; EXTRACELLULAR VESICLES; POLARIZATION; PROMOTES; METASTASIS; PROGRESSION; CARCINOMA; PROTEASOME; EXPRESSION; CELLS;
D O I
10.3390/ijms23136994
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The dysregulation of microRNAs (miRNAs) has been known to play important roles in tumor development and progression. However, the understanding of the involvement of miRNAs in regulating tumor-associated macrophages (TAMs) and how these TAM-related miRNAs (TRMs) modulate cancer progression is still in its infancy. This study aims to explore the prognostic value of TRMs in breast cancer via the construction of a novel TRM signature. Potential TRMs were identified from the literature, and their prognostic value was evaluated using 1063 cases in The Cancer Genome Atlas Breast Cancer database. The TRM signature was further validated in the external Gene Expression Omnibus GSE22220 dataset. Gene sets enrichment analyses were performed to gain insight into the biological functions of this TRM signature. An eleven-TRM signature consisting of mir-21, mir-24-2, mir-125a, mir-221, mir-22, mir-501, mir-365b, mir-660, mir-146a, let-7b and mir-31 was constructed. This signature significantly differentiated the high-risk group from the low-risk in terms of overall survival (OS)/ distant-relapse free survival (DRFS) (p value < 0.001). The prognostic value of the signature was further enhanced by incorporating other independent prognostic factors in a nomogram-based prediction model, yielding the highest AUC of 0.79 (95% CI: 0.72-0.86) at 5-year OS. Enrichment analyses confirmed that the differentially expressed genes were mainly involved in immune-related pathways such as adaptive immune response, humoral immune response and Th1 and Th2 cell differentiation. This eleven-TRM signature has great potential as a prognostic factor for breast cancer patients besides unravelling the dysregulated immune pathways in high-risk breast cancer.
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页数:25
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