Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study

There are few radiogenomic studies to correlate ultrasound features of breast cancer with genomic changes. We investigated whether vascular ultrasound phenotypes are associated with breast cancer gene profiles for predicting angiogenesis and prognosis. We prospectively correlated quantitative and qu...

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Published in:Discover. Oncology 2023-04, Vol.14 (1), p.52-52, Article 52
Main Authors: Han, Mi-Ryung, Park, Ah Young, Seo, Bo Kyoung, Bae, Min Sun, Kim, Jung Sun, Son, Gil Soo, Lee, Hye Yoon, Chang, Young Woo, Cho, Kyu Ran, Song, Sung Eun, Woo, Ok Hee, Ju, Hye-Yeon, Oh, Hyunseung
Format: Article
Language:English
Subjects:
Angiogenesis
Biomarkers
Breast cancer
Breast neoplasms
Brief Communication
Cancer Research
Contrast agents
DNA
Genes
Genomes
Growth factors
Hypoxia
Internal Medicine
Magnetic resonance imaging
Medical prognosis
Medicine
Medicine & Public Health
Molecular Medicine
Morphology
Mutation
Oncology
Prospective studies
Radiotherapy
Sequence analysis
Surgical Oncology
Tumors
Ultrasonic imaging
Ultrasonography
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Summary:There are few radiogenomic studies to correlate ultrasound features of breast cancer with genomic changes. We investigated whether vascular ultrasound phenotypes are associated with breast cancer gene profiles for predicting angiogenesis and prognosis. We prospectively correlated quantitative and qualitative features of microvascular ultrasound (vascular index, vessel morphology, distribution, and penetrating vessel) and contrast-enhanced ultrasound (time–intensity curve parameters and enhancement pattern) with genomic characteristics in 31 breast cancers. DNA obtained from breast tumors and normal tissues were analyzed using targeted next-generation sequencing of 105 genes. The single-variant association test was used to identify correlations between vascular ultrasound features and genomic profiles. Chi-square analysis was used to detect single nucleotide polymorphisms (SNPs) associated with ultrasound features by estimating p values and odds ratios (ORs). Eight ultrasound features were significantly associated with 9 SNPs ( p  
ISSN:2730-6011
2730-6011
DOI:10.1007/s12672-023-00657-8