Dataset Information

A five-miRNA panel in plasma was identified for breast cancer diagnosis.

ABSTRACT: Breast cancer (BC) is one of the most common cancers in females. Since early detection can bring prognosis benefit, discovery of novel noninvasive biomarkers for BC diagnosis is in urgent need. In this four-phase study, we profiled miRNA expression in plasma samples from a total of 257 BC patients and 257 normal controls (NCs). Exiqon miRNA qPCR panel was used to select candidate miRNAs in the screening phase which were further analyzed using qRT-PCR in the following training, testing and external validation phases. Finally, we identified five plasma miRNAs (let-7b-5p, miR-122-5p, miR-146b-5p, miR-210-3p and miR-215-5p) whose expression levels were significantly different between BC patients and NCs. A 5-miRNA panel in plasma with high sensitivity and specificity was then constructed to detect BC. The areas under the receiver-operating characteristic curves (AUCs) of the panel were 0.683, 0.966, 0.978 for the training, testing and external validation sets, respectively. Expression of the identified miRNAs was further analyzed among 32 pairs of BC tissue and the adjacent normal tissue samples as well as plasma-derived exosome samples from 32 BC patients vs 32 NCs. Let-7b-5p was contrarily down-regulated in BC tissue. In exosomes samples, only miR-122-5p was significantly up-regulated as in plasma for BC patients. In conclusion, we identified a 5-miRNA plasma panel (let-7b-5p, miR-122-5p, miR-146b-5p, miR-210-3p and miR-215-5p) that could serve as a promising biomarker for BC detection.

SUBMITTER: Li M

PROVIDER: S-EPMC6853814 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A five-miRNA panel in plasma was identified for breast cancer diagnosis.

Li Minghui M Zou Xuan X Xia Tiansong T Wang Tongshan T Liu Ping P Zhou Xin X Wang Shui S Zhu Wei W

Cancer medicine 20190930 16

Breast cancer (BC) is one of the most common cancers in females. Since early detection can bring prognosis benefit, discovery of novel noninvasive biomarkers for BC diagnosis is in urgent need. In this four-phase study, we profiled miRNA expression in plasma samples from a total of 257 BC patients and 257 normal controls (NCs). Exiqon miRNA qPCR panel was used to select candidate miRNAs in the screening phase which were further analyzed using qRT-PCR in the following training, testing and extern ...[more]

PMID: 31568692

Similar Datasets

Project description:BackgroundCirculating microRNAs (miRNAs) have been implicated as novel biomarkers for gastric cancer (GC) diagnosis. However, the mixture of GC subtypes may have led to the inconsistent circulating miRNA profiles, and the clinical performance of circulating miRNAs has not yet been evaluated independently on early detection of GC.MethodsA four-phase study was designed with a total of 160 cancer-free controls, 124 patients with gastric non-cardia adenocarcinoma (GNCA) and 36 patients diagnosed gastric cardia adenocarcinoma (GCA). In the discovery phase, we screened the miRNA expression profile in plasma of 40 GNCA patients (stage I) and 40 matched controls by TaqMan low density array (TLDA) chips with pooled samples. Differentially expressed miRNAs were further validated in individual sample using quantitative reverse-transcriptase PCR (qRT-PCR) in the training phase. Subsequently, in an independent validation phase, the identified miRNAs were evaluated in 48 GNCA patients (stage I) and 102 matched controls. Finally, the identified miRNAs were further assessed in an external validation phase including advanced GNCA and GCA patients. Additionally, the expression levels of identified miRNAs were measured in the media of BGC823 and MGC803 cell lines.ResultsFive miRNAs (miR-16, miR-25, miR-92a, miR-451 and miR-486-5p) showed consistently elevated levels in plasma of the GC patients as compared with controls, and were identified to be potential markers for GNCA with area under the receiver operating characteristic (ROC) curves (AUCs) ranging from 0.850 to 0.925 and 0.694 to 0.790 in the training and validation phases, respectively. The five-miRNA panel presented a high diagnostic accuracy for the early-stage GNCA (AUCs=0.989 and 0.812 for the training and validation phases, respectively). Three miRNAs (miR-16, miR-25 and miR-92a) were excreted into the culture media of GC cell lines.ConclusionsThe five-miRNA panel in plasma may serve as a potential non-invasive biomarker in detecting the early-stage GC.

Dataset Information

A five-miRNA panel in plasma was identified for breast cancer diagnosis.

Publications

A five-miRNA panel in plasma was identified for breast cancer diagnosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets