Breast Cancer: Targets and Therapy (Jul 2023)

Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer

  • Huang Y,
  • Guo Y,
  • Xiao Q,
  • Liang S,
  • Yu Q,
  • Qian L,
  • Zhou J,
  • Le J,
  • Pei Y,
  • Wang L,
  • Chang C,
  • Chen S,
  • Zhou S

Journal volume & issue
Vol. Volume 15
pp. 461 – 472

Abstract

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Yunxia Huang,1,* Yi Guo,2,* Qin Xiao,3,* Shuyu Liang,2 Qiang Yu,4 Lang Qian,1 Jin Zhou,1 Jian Le,1 Yuchen Pei,5 Lei Wang,4 Cai Chang,1 Sheng Chen,4 Shichong Zhou1 1Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China; 2Department of Radiology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People’s Republic of China; 3Department of Electronic Engineering, Fudan University and Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai, People’s Republic of China; 4Department of Breast Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People’s Republic of China; 5Precision Cancer Medical Center Affiliated to Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shichong Zhou, Department of Ultrasonography, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, 200032, People’s Republic of China, Tel +86 21-64175590, Email [email protected] Sheng Chen, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, People’s Republic of China, Tel +86 21-64175590, Email [email protected]: The emergence of genomic targeted therapy has improved the prospects of treatment for breast cancer (BC). However, genetic testing relies on invasive and sophisticated procedures.Patients and Methods: Here, we performed ultrasound (US) and target sequencing to unravel the possible association between US radiomics features and somatic mutations in TNBC (n=83) and non-TNBC (n=83) patients. Least absolute shrinkage and selection operator (Lasso) were utilized to perform radiomic feature selection. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was utilized to identify the signaling pathways associated with radiomic features.Results: Thirteen differently represented radiomic features were identified in TNBC and non-TNBC, including tumor shape, textual, and intensity features. The US radiomic–gene pairs were differently exhibited between TNBC and non-TNBC. Further investigation with KEGG verified radiomic–pathway (ie, JAK-STAT, MAPK, Ras, Wnt, microRNAs in cancer, PI3K-Akt) associations in TNBC and non-TNBC.Conclusion: The pivotal network provided the connections of US radiogenomic signature and target sequencing for non-invasive genetic assessment of precise BC treatment.Keywords: triple-negative breast cancer, radiomics, somatic mutation, signaling pathway

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