This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Lingfei Wang
the 903rd Hospital of PLA
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4073-7915
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Early diagnosis of breast cancer can reduce the high fatality rate. Thus novel diagnostic methods are urgently required for breast cancer patients. The research aimed at checking potential correlation for serum microRNA-124-3p (miR-124-3p) expression with breast cancer, and exploring its competence as a promising potential biomarkers for breast cancer.
Methods
Quantitative real-time PCR (qRT-PCR) assay detected miR-124-3p levels. Possible relationship between miR-124-3p degree and clinical features of breast cancer patients was measured by Chi-square analysis. Sensitivity, specificity and area under the curve (AUC) for serum miR-124-3p degree were settled adopting receiver operating characteristics (ROC) analyses.
Results
Relative degree for serum miR-124-3p notably reduced among breast cancer sufferers in comparison with healthy persons (P=0.000). Moreover, miR-124-3p degree held tight connection to clinical stage (P=0.034), histological grade (P=0.002), and lymph node metastasis (P=0.001). ROC curve analyses unveiled at the optimal cut-off of 0.935, serum miR-124-3p expression reached a sensitivity of 78.4% and a specificity of 84.8% in discriminating between breast cancers sufferers and healthy persons, achieving an area under the curve (AUC) of 0.872 (95% CI: 0.752-0.871).
Conclusion
Serum miR-124-3p degree might represent one non-invasive indicator in diagnosing breast cancer.
Keywords
MicroRNA-124-3p, Breast cancer, Diagnosis, Biomarker
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Lingfei Wang
the 903rd Hospital of PLA
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4073-7915
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 21 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Early diagnosis of breast cancer can reduce the high fatality rate. Thus novel diagnostic methods are urgently required for breast cancer patients. The research aimed at checking potential correlation for serum microRNA-124-3p (miR-124-3p) expression with breast cancer, and exploring its competence as a promising potential biomarkers for breast cancer.
Methods
Quantitative real-time PCR (qRT-PCR) assay detected miR-124-3p levels. Possible relationship between miR-124-3p degree and clinical features of breast cancer patients was measured by Chi-square analysis. Sensitivity, specificity and area under the curve (AUC) for serum miR-124-3p degree were settled adopting receiver operating characteristics (ROC) analyses.
Results
Relative degree for serum miR-124-3p notably reduced among breast cancer sufferers in comparison with healthy persons (P=0.000). Moreover, miR-124-3p degree held tight connection to clinical stage (P=0.034), histological grade (P=0.002), and lymph node metastasis (P=0.001). ROC curve analyses unveiled at the optimal cut-off of 0.935, serum miR-124-3p expression reached a sensitivity of 78.4% and a specificity of 84.8% in discriminating between breast cancers sufferers and healthy persons, achieving an area under the curve (AUC) of 0.872 (95% CI: 0.752-0.871).
Conclusion
Serum miR-124-3p degree might represent one non-invasive indicator in diagnosing breast cancer.
Figure 1
Figure 2
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