Abstract 46P
Background
MicroRNAs (miRNAs), small non-coding RNAs that influence gene expression, have shown promising potential as biomarkers for cancer detection due to their stability and detectability in bodily fluids. Specifically, microRNA-1246 (miR-1246) has been preliminarily suggested to be effective in early-stage breast cancer detection, warranting an exhaustive analysis to verify its reliability and applicability as a non-invasive diagnostic indicator. The study aims to determine the accuracy of miR-1246 as a biomarker for the early detection of breast cancer.
Methods
A comprehensive search of databases, including PubMed, Embase, and the Cochrane Library, was conducted for studies published up to May 2023. Inclusion criteria were studies exploring the diagnostic efficacy of miR-1246 in early-stage breast cancer detection, with healthy individuals serving as a control group. Statistical analyses were performed using R software (version 4.0.3) with the mada package, which facilitated the pooling of sensitivity, specificity, false-positive rate estimates, diagnostic odds ratio, and both positive and negative Likelihood Ratios (LR), each with a 95% Confidence Interval (CI).
Results
Our meta-analysis consisted of 5 studies involving 3041 participants, with 1489 patients diagnosed with breast cancer and 1552 healthy controls. miR-1246 showed considerable diagnostic potential for early-stage breast cancer detection, exhibiting a sensitivity of 87.1% (95% CI: 76.9-93.2%, I2=78.6%) and a specificity of 89.4% (95% CI: 81.6-94.1%, I2=82%). The diagnostic odds ratio (DOR) was 57.05 (95% CI: 21.91-148.54), and the false-positive rate was 10.6% (95% CI: 5.9-18.4%). Additionally, Likelihood Ratios (LR) indicated a positive LR of 8.23 (95% CI: 4.59-14.75) and a negative LR of 0.14 (95% CI: 0.08-0.27).
Conclusions
The study highlights the promising potential of miR-1246 as a non-invasive biomarker for early breast cancer detection, though the observed heterogeneity across studies underscores the need for further comprehensive research. If validated with further studies, the integration of miR-1246 into existing diagnostic methods could significantly enhance early detection and improve patient prognosis.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
41P - HLA genotypes modify the age-related penetrance of BRCA1 pathogenic variants in breast cancer patients
Presenter: Ekaterina Kuligina
Session: Cocktail & Poster Display session
Resources:
Abstract
42P - Investigating the influence of extrachromosomal DNA in the progression of non-small cell lung cancer through the TRACERx and PEACE studies
Presenter: Jeanette Kittel
Session: Cocktail & Poster Display session
Resources:
Abstract
43P - MDM2 alterations in primary brain tumors: A potential niche for targeted therapy
Presenter: Diego Gomez Puerto
Session: Cocktail & Poster Display session
Resources:
Abstract
44P - Exploring miR-205 and miR-296 as salivary biomarkers and potential therapeutic targets in oral cancer
Presenter: Thaís Moré Milan
Session: Cocktail & Poster Display session
Resources:
Abstract
45P - Integrative analysis of TCGA DNA methylation, RNA-sequencing, and variant dataset using machine learning in predicting endometrial cancer recurrence
Presenter: Jinhwa Hong
Session: Cocktail & Poster Display session
Resources:
Abstract
47P - Differential expression of discriminative markers in matched invasion fronts and tumour buds in CRC
Presenter: Laura Grech
Session: Cocktail & Poster Display session
Resources:
Abstract
48P - Transcriptome profiling highlights distinct gene signatures in HER2 high (HER2 3+) and HER 2 low (Her2 1+/2+) breast cancers
Presenter: Tamanna Thakur
Session: Cocktail & Poster Display session
Resources:
Abstract
49P - MiR-155 promotes breast cancer progression by upregulating cancer stemness
Presenter: Jeonghee Han
Session: Cocktail & Poster Display session
Resources:
Abstract
50P - Clinical impact of actionable molecular variants disclosed in late-stage cancer patients by tumor whole-exome sequencing in a prospective single-institution study
Presenter: Christophe Mapendano
Session: Cocktail & Poster Display session
Resources:
Abstract
51P - Functional characterization of the novel long intergenic non-coding RNA-RFC4, a transcript regulating chromosomal instability in prostate cancer
Presenter: Rogelio Montiel Manríquez
Session: Cocktail & Poster Display session
Resources:
Abstract