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Plasma-based microRNA signatures in early diagnosis of breast cancer.

ABSTRACT: BACKGROUND:MicroRNAs (miRNAs) play an important role in the development and progression of breast cancer (BC). The purpose of the present study was to identify plasma miRNAs enabling early diagnosis of BC. MATERIALS AND METHODS:Expression levels of seven plasma miRNAs (miR-23a-3p, miR-29b-2-5p, miR-130a-5p, miR-144-3p, miR-148a-3p, miR-152-3p, and miR-182-5p) in 106 patients with newly diagnosed BC and 96 healthy participants were analyzed by qRT-PCR. We also evaluated the relationship between the expression levels of these miRNAs and clinicopathological features of patients with BC. RESULTS:Compared with healthy controls, we found that miR-23a-3p (p = .025), miR-130a-5p (p = .006), miR-144-3p (p = .040), miR-148a-3p (p = .023), and miR-152-3p (p = .019) were downregulated in the plasma of patients with BC. MiR-130a-5p, miR-144-3p, and miR-152-3p were downexpressed in BC tissues as well as plasma. The expression of the miR-23a-3p, miR-144-3p, and miR-152-3p was related to ER positive and PR positive. Besides, miR-23a-3p, miR-144-3p, and miR-152-3p did show the significant difference in the staging compromised to the control, especially in stage I-II. Moreover, we also found that miR-144-3p and miR-148a-3p were associated with lymph node invasion. CONCLUSIONS:The expression levels of the miR-23a-3p, miR-130a-5p, miR-144-3p, miR-148a-3p, and miR-152-3p were lower in patients with BC compared to healthy controls and were associated with ex hormone receptor, clinical stage, and lymph node metastasis, indicating the diagnostic potential of these miRNAs in BC.

SUBMITTER: Li X

PROVIDER: S-EPMC7216817 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Plasma-based microRNA signatures in early diagnosis of breast cancer.

Li Xu X Zou Wenjing W Wang Yuzhen Y Liao Zijun Z Li Lina L Zhai Yang Y Zhang Lingxiao L Gu Shanzhi S Zhao Xinhan X

Molecular genetics & genomic medicine 20200302 5

<h4>Background</h4>MicroRNAs (miRNAs) play an important role in the development and progression of breast cancer (BC). The purpose of the present study was to identify plasma miRNAs enabling early diagnosis of BC.<h4>Materials and methods</h4>Expression levels of seven plasma miRNAs (miR-23a-3p, miR-29b-2-5p, miR-130a-5p, miR-144-3p, miR-148a-3p, miR-152-3p, and miR-182-5p) in 106 patients with newly diagnosed BC and 96 healthy participants were analyzed by qRT-PCR. We also evaluated the relatio ...[more]

PMID: 32124558

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Project description:Purpose: There is a quest for novel non-invasive diagnostic markers for the detection of breast cancer. The goal of this study is to identify circulating microRNA signatures using a cohort of Asian Chinese breast cancer patients, and to compare microRNA profiles between tumour and serum samples. Experimental design: MicroRNAs from paired breast cancer tumours, normal tissue and serum samples derived from 32 patients were comprehensively profiled using microarrays (1300 microRNAs against tumour and normal tissues) or LNA RT-PCR panels (742 microRNAs against serum samples). Serum samples from healthy individuals (n=22) were also employed as normal controls. Significant serum microRNAs, identified by logistic regression, were validated in an independent set of serum samples from patients (n=82) and healthy controls (n=53). Results: The 20 most significant microRNAs differentially expressed in breast cancer tumours included miR-21, miR-10b, and miR-145, previously shown to be dysregulated in breast cancer. Interestingly, 16 of the 20 most significant microRNAs differentially expressed in serum samples were novel. MiR-1, miR-92a, miR-133a and miR-133b were identified as the most important diagnostic markers, and were successfully validated; receiver operating characteristic curves derived from combinations of these microRNAs exhibited areas under the curves of 0.944-0.946. Only seven microRNAs were overexpressed in both tumours and serum, suggesting that microRNAs may be released into the serum selectively. Conclusion: The clinical employment of microRNA signatures as a non-invasive diagnostic strategy is promising, but should be further validated for different subtypes of breast cancers. Blood samples were collected in Becton Dickinson (Franklin Lakes, NJ) Vacutainer SST tubes. Serum was harvested by centrifugation at 2200g after allowing blood to clot for 30mins. 32 patient samples and 22 samples from healthy controls were obtained for profiling. Sera samples were stored at -80oC.

Project description:Purpose: There is a quest for novel non-invasive diagnostic markers for the detection of breast cancer. The goal of this study is to identify circulating microRNA signatures using a cohort of Asian Chinese breast cancer patients, and to compare microRNA profiles between tumour and serum samples. Experimental design: MicroRNAs from paired breast cancer tumours, normal tissue and serum samples derived from 32 patients were comprehensively profiled using microarrays (1300 microRNAs against tumour and normal tissues) or LNA RT-PCR panels (742 microRNAs against serum samples). Serum samples from healthy individuals (n=22) were also employed as normal controls. Significant serum microRNAs, identified by logistic regression, were validated in an independent set of serum samples from patients (n=82) and healthy controls (n=53). Results: The 20 most significant microRNAs differentially expressed in breast cancer tumours included miR-21, miR-10b, and miR-145, previously shown to be dysregulated in breast cancer. Interestingly, 16 of the 20 most significant microRNAs differentially expressed in serum samples were novel. MiR-1, miR-92a, miR-133a and miR-133b were identified as the most important diagnostic markers, and were successfully validated; receiver operating characteristic curves derived from combinations of these microRNAs exhibited areas under the curves of 0.944-0.946. Only seven microRNAs were overexpressed in both tumours and serum, suggesting that microRNAs may be released into the serum selectively. Conclusion: The clinical employment of microRNA signatures as a non-invasive diagnostic strategy is promising, but should be further validated for different subtypes of breast cancers. "_A" and "_B" are two tissue sections of the same sample; "_1" and "_2" represents 2 runs of the same sample; na = not available All tissue samples were histologically confirmed by a pathologist using hematoxylin and eosin staining of cryosectioned specimens. One tumour sample was rejected due to failure to detect any tumour cells. Except for two samples (with 30% and 40% tumour cells), all tumour tissues employed had a minimum of 60% tumour cells, as estimated microscopically. Overall, the breast cancer tumour samples had an average of 71% tumour cells. The criteria for adjacent normal tissue were absence of tumour cells and presence of epithelial cells. Hence, after histological confirmation, 31 breast cancer tumours and 23 matched normal tissues were employed for microRNA extraction and profiling using microarray.

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Plasma-based microRNA signatures in early diagnosis of breast cancer.

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Plasma-based microRNA signatures in early diagnosis of breast cancer.

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