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Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling.

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  • Additional Information
    • Source:
      Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE
    • Publication Information:
      Publication: <2014- > : London : Springer Nature
      Original Publication: London : e-med, c2000]-
    • Subject Terms:
    • Abstract:
      Background: Imaging techniques can provide information about the tumor non-invasively and have been shown to provide information about the underlying genetic makeup. Correlating image-based phenotypes (radiomics) with genomic analyses is an emerging area of research commonly referred to as "radiogenomics" or "imaging-genomics". The purpose of this study was to assess the potential for using an automated, quantitative radiomics platform on magnetic resonance (MR) breast imaging for inferring underlying activity of clinically relevant gene pathways derived from RNA sequencing of invasive breast cancers prior to therapy.
      Methods: We performed quantitative radiomic analysis on 47 invasive breast cancers based on dynamic contrast enhanced 3 Tesla MR images acquired before surgery and obtained gene expression data by performing total RNA sequencing on corresponding fresh frozen tissue samples. We used gene set enrichment analysis to identify significant associations between the 186 gene pathways and the 38 image-based features that have previously been validated.
      Results: All radiomic size features were positively associated with multiple replication and proliferation pathways and were negatively associated with the apoptosis pathway. Gene pathways related to immune system regulation and extracellular signaling had the highest number of significant radiomic feature associations, with an average of 18.9 and 16 features per pathway, respectively. Tumors with upregulation of immune signaling pathways such as T-cell receptor signaling and chemokine signaling as well as extracellular signaling pathways such as cell adhesion molecule and cytokine-cytokine interactions were smaller, more spherical, and had a more heterogeneous texture upon contrast enhancement. Tumors with higher expression levels of JAK/STAT and VEGF pathways had more intratumor heterogeneity in image enhancement texture. Other pathways with robust associations to image-based features include metabolic and catabolic pathways.
      Conclusions: We provide further evidence that MR imaging of breast tumors can infer underlying gene expression by using RNA sequencing. Size and shape features were appropriately correlated with proliferative and apoptotic pathways. Given the high number of radiomic feature associations with immune pathways, our results raise the possibility of using MR imaging to distinguish tumors that are more immunologically active, although further studies are necessary to confirm this observation.
    • Grant Information:
      U01CA195564 National Institutes of Health; FP059463-01 Dr. Ralph and Marian Falk Medical Research Trust (US); N/A Ann Dudley Goldblatt Fellowship in Oncology
    • Contributed Indexing:
      Keywords: Breast cancer; Imaging genomics; Radiogenomics
    • Publication Date:
      Date Created: 20190717 Date Completed: 20190926 Latest Revision: 20190926
    • Publication Date:
      20200827
    • Accession Number:
      PMC6628478
    • Accession Number:
      10.1186/s40644-019-0233-5
    • Accession Number:
      31307537
  • Citations
    • ABNT:
      YEH, A. C. et al. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer imaging : the official publication of the International Cancer Imaging Society, [s. l.], v. 19, n. 1, p. 48, 2019. DOI 10.1186/s40644-019-0233-5. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=31307537. Acesso em: 26 set. 2020.
    • AMA:
      Yeh AC, Li H, Zhu Y, et al. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer imaging : the official publication of the International Cancer Imaging Society. 2019;19(1):48. doi:10.1186/s40644-019-0233-5
    • APA:
      Yeh, A. C., Li, H., Zhu, Y., Zhang, J., Khramtsova, G., Drukker, K., Edwards, A., McGregor, S., Yoshimatsu, T., Zheng, Y., Niu, Q., Abe, H., Mueller, J., Conzen, S., Ji, Y., Giger, M. L., & Olopade, O. I. (2019). Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging : The Official Publication of the International Cancer Imaging Society, 19(1), 48. https://doi.org/10.1186/s40644-019-0233-5
    • Chicago/Turabian: Author-Date:
      Yeh, Albert C, Hui Li, Yitan Zhu, Jing Zhang, Galina Khramtsova, Karen Drukker, Alexandra Edwards, et al. 2019. “Radiogenomics of Breast Cancer Using Dynamic Contrast Enhanced MRI and Gene Expression Profiling.” Cancer Imaging : The Official Publication of the International Cancer Imaging Society 19 (1): 48. doi:10.1186/s40644-019-0233-5.
    • Harvard:
      Yeh, A. C. et al. (2019) ‘Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling’, Cancer imaging : the official publication of the International Cancer Imaging Society, 19(1), p. 48. doi: 10.1186/s40644-019-0233-5.
    • Harvard: Australian:
      Yeh, AC, Li, H, Zhu, Y, Zhang, J, Khramtsova, G, Drukker, K, Edwards, A, McGregor, S, Yoshimatsu, T, Zheng, Y, Niu, Q, Abe, H, Mueller, J, Conzen, S, Ji, Y, Giger, ML & Olopade, OI 2019, ‘Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling’, Cancer imaging : the official publication of the International Cancer Imaging Society, vol. 19, no. 1, p. 48, viewed 26 September 2020, .
    • MLA:
      Yeh, Albert C., et al. “Radiogenomics of Breast Cancer Using Dynamic Contrast Enhanced MRI and Gene Expression Profiling.” Cancer Imaging : The Official Publication of the International Cancer Imaging Society, vol. 19, no. 1, July 2019, p. 48. EBSCOhost, doi:10.1186/s40644-019-0233-5.
    • Chicago/Turabian: Humanities:
      Yeh, Albert C, Hui Li, Yitan Zhu, Jing Zhang, Galina Khramtsova, Karen Drukker, Alexandra Edwards, et al. “Radiogenomics of Breast Cancer Using Dynamic Contrast Enhanced MRI and Gene Expression Profiling.” Cancer Imaging : The Official Publication of the International Cancer Imaging Society 19, no. 1 (July 15, 2019): 48. doi:10.1186/s40644-019-0233-5.
    • Vancouver/ICMJE:
      Yeh AC, Li H, Zhu Y, Zhang J, Khramtsova G, Drukker K, et al. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer imaging : the official publication of the International Cancer Imaging Society [Internet]. 2019 Jul 15 [cited 2020 Sep 26];19(1):48. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=31307537