Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration

Liqian Yin,1 Yansheng Ding,2 Yang Wang,3 Chengdong Wang,2 Kuisheng Sun,1 Liquan Wang3 1College of Medical Laboratory Medicine, Weifang Medical University, Weifang, Shandong, People’s Republic of China; 2Clinical Laboratory, Weifang People’s Hospital, Weifang, Shandong, People’s Republic of China; 3B...

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Main Authors: Yin L, Ding Y, Wang Y, Wang C, Sun K, Wang L
Format: Article
Language:English
Published: Dove Medical Press 2023-04-01
Series:International Journal of General Medicine
Subjects:
Online Access:https://www.dovepress.com/identification-of-serum-mir-501-3p-and-mir-338-3p-as-novel-diagnostic--peer-reviewed-fulltext-article-IJGM
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author Yin L
Ding Y
Wang Y
Wang C
Sun K
Wang L
author_facet Yin L
Ding Y
Wang Y
Wang C
Sun K
Wang L
author_sort Yin L
collection DOAJ
description Liqian Yin,1 Yansheng Ding,2 Yang Wang,3 Chengdong Wang,2 Kuisheng Sun,1 Liquan Wang3 1College of Medical Laboratory Medicine, Weifang Medical University, Weifang, Shandong, People’s Republic of China; 2Clinical Laboratory, Weifang People’s Hospital, Weifang, Shandong, People’s Republic of China; 3Breast Surgery Center, Weifang People’s Hospital, Weifang, Shandong, People’s Republic of ChinaCorrespondence: Liquan Wang, Breast Surgery Center, Weifang People’s Hospital, NO. 151 Guangwen Road, Weifang, Shandong, 261000, People’s Republic of China, Email rxwk1990@126.comBackground: MicroRNAs influence the growth and metastasis of breast cancer (BC) by regulating their target genes. Our study aims to screen and identify miRNAs that are closely related to the development of breast cancer, and explore the role of these miRNAs and their target genes in breast cancer.Methods: Bioinformatics tools were applied to screen breast cancer-associated miRNAs and predict their potential target genes. Serum miRNAs were measured using RT-PCR. The correlation between miRNA expression and different clinicopathological features of BC patients was analyzed. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value. GEPIA, Kaplan-Meier Plotter, TIMER, and TISIDB databases were used to validate the expression levels and their prognostic value, as well as their target gene associated with immune infiltrating cells and immune checkpoints.Results: Breast cancer-associated serum miR-338-3p and miR-501-3p were screened and verified for the first time. Serum miR-501-3p was elevated in BC and was closely linked to the ki-67 index and histological grade. CDKN2C, as a potential target gene of miR-501-3p, was enriched in the cGMP-PKG signaling pathway. Serum miR-338-3p was reduced in BC and was strongly linked to lymph node metastasis and histological grading. ACTR2, CDH1, COL1A1, RBBP5, RRM1, and TPM3, as potential target genes of miR-338-3p, were enriched in MAPK, PI3K-Akt, and RAS signaling pathways. These target genes were found to be linked to breast cancer prognosis, immune infiltrating cells, and immune checkpoint inhibitors. Analysis of ROC curve showed that serum miR-501-3p combined with serum miR-338-3p had a high diagnostic value in breast cancer (AUC: 0.89, 95% CI: 0.821– 0.958).Conclusion: Serum miR-501-3p combined with serum miR-338-3p show obvious clinical significance in the diagnosis and prognosis of breast cancer, which suggests that they may act as novel diagnostic biomarkers for breast cancer.Keywords: breast cancer, miR-501-3p, miR-338-3p, serum biomarker, bioinformatics analysis
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spelling doaj.art-eb6a4c251b3e4e78aeea9fbd954974d22023-04-13T19:17:09ZengDove Medical PressInternational Journal of General Medicine1178-70742023-04-01Volume 161279129483003Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune InfiltrationYin LDing YWang YWang CSun KWang LLiqian Yin,1 Yansheng Ding,2 Yang Wang,3 Chengdong Wang,2 Kuisheng Sun,1 Liquan Wang3 1College of Medical Laboratory Medicine, Weifang Medical University, Weifang, Shandong, People’s Republic of China; 2Clinical Laboratory, Weifang People’s Hospital, Weifang, Shandong, People’s Republic of China; 3Breast Surgery Center, Weifang People’s Hospital, Weifang, Shandong, People’s Republic of ChinaCorrespondence: Liquan Wang, Breast Surgery Center, Weifang People’s Hospital, NO. 151 Guangwen Road, Weifang, Shandong, 261000, People’s Republic of China, Email rxwk1990@126.comBackground: MicroRNAs influence the growth and metastasis of breast cancer (BC) by regulating their target genes. Our study aims to screen and identify miRNAs that are closely related to the development of breast cancer, and explore the role of these miRNAs and their target genes in breast cancer.Methods: Bioinformatics tools were applied to screen breast cancer-associated miRNAs and predict their potential target genes. Serum miRNAs were measured using RT-PCR. The correlation between miRNA expression and different clinicopathological features of BC patients was analyzed. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value. GEPIA, Kaplan-Meier Plotter, TIMER, and TISIDB databases were used to validate the expression levels and their prognostic value, as well as their target gene associated with immune infiltrating cells and immune checkpoints.Results: Breast cancer-associated serum miR-338-3p and miR-501-3p were screened and verified for the first time. Serum miR-501-3p was elevated in BC and was closely linked to the ki-67 index and histological grade. CDKN2C, as a potential target gene of miR-501-3p, was enriched in the cGMP-PKG signaling pathway. Serum miR-338-3p was reduced in BC and was strongly linked to lymph node metastasis and histological grading. ACTR2, CDH1, COL1A1, RBBP5, RRM1, and TPM3, as potential target genes of miR-338-3p, were enriched in MAPK, PI3K-Akt, and RAS signaling pathways. These target genes were found to be linked to breast cancer prognosis, immune infiltrating cells, and immune checkpoint inhibitors. Analysis of ROC curve showed that serum miR-501-3p combined with serum miR-338-3p had a high diagnostic value in breast cancer (AUC: 0.89, 95% CI: 0.821– 0.958).Conclusion: Serum miR-501-3p combined with serum miR-338-3p show obvious clinical significance in the diagnosis and prognosis of breast cancer, which suggests that they may act as novel diagnostic biomarkers for breast cancer.Keywords: breast cancer, miR-501-3p, miR-338-3p, serum biomarker, bioinformatics analysishttps://www.dovepress.com/identification-of-serum-mir-501-3p-and-mir-338-3p-as-novel-diagnostic--peer-reviewed-fulltext-article-IJGMbreast cancermir-501-3pmir-338-3pserum biomarkerbioinformatics analysis
spellingShingle Yin L
Ding Y
Wang Y
Wang C
Sun K
Wang L
Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration
International Journal of General Medicine
breast cancer
mir-501-3p
mir-338-3p
serum biomarker
bioinformatics analysis
title Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration
title_full Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration
title_fullStr Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration
title_full_unstemmed Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration
title_short Identification of Serum miR-501-3p and miR-338-3p as Novel Diagnostic Biomarkers for Breast Cancer and Their Target Genes Associated with Immune Infiltration
title_sort identification of serum mir 501 3p and mir 338 3p as novel diagnostic biomarkers for breast cancer and their target genes associated with immune infiltration
topic breast cancer
mir-501-3p
mir-338-3p
serum biomarker
bioinformatics analysis
url https://www.dovepress.com/identification-of-serum-mir-501-3p-and-mir-338-3p-as-novel-diagnostic--peer-reviewed-fulltext-article-IJGM
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