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Peripheral blood transcriptome identifies high-risk benign and malignant breast lesions
Hong Hou1, Yali Lyu2, Jing Jiang3
1Qingdao Central Hospital/Qingdao Cancer Hospital, Qingdao, Shandong Province, People's Republic of China.
Plos One
|June 5, 2020
Summary
Peripheral blood transcriptome profiling identified ten gene biomarkers for detecting breast lesions. This blood test shows high accuracy, offering a promising new method for early breast cancer detection and potential immune therapy targets.
Area of Science:
- Genomics and Molecular Biology
- Oncology
- Immunology
Background:
- Peripheral blood transcriptome profiling offers a non-invasive approach for disease detection.
- Identifying transcriptomic biomarkers can aid in differentiating disease states from healthy controls.
Purpose of the Study:
- To identify candidate transcriptomic biomarkers in peripheral blood for differentiating breast lesions from normal controls.
- To develop a predictive model for breast lesion detection using gene expression signatures.
Main Methods:
- Whole blood samples were collected from women with breast lesions and controls.
- Gene expression profiling was performed using microarray hybridization.
- AdaBoost algorithm was used to identify gene signatures and construct a predictive model.
Main Results:
- Ten gene biomarkers (YWHAQ, BCLAF1, WSB1, PBX2, DDIT4, LUC7L3, FKBP1A, APP, HERC2P2, FAM126B) were identified.
- A ten-gene panel predictive model achieved high performance (sensitivity: 100%, specificity: 84.2%, accuracy: 93.5%, AUC: 0.99).
- Biomarkers are involved in critical cellular processes including apoptosis, TGF-beta signaling, and immune regulation.
Conclusions:
- Peripheral blood transcriptome profiling presents a promising method for breast lesion detection.
- The identified biomarkers and model offer potential for early diagnosis.
- Findings provide insights into breast cancer and immune system interactions, suggesting novel immunotherapy targets.
