Complete characterization of RNA biomarker fingerprints using a multi-modal spectroscopy approach for early breast cancer diagnosis

Shuyan Zhang; Qing Yang S. Wu; Fann Ting Casey Ang; Melissa Hum; Jayakumar Perumal; Ann S. G. Lee; Jinghua Teng; Dinish U.S.; Malini Olivo

doi:10.1117/12.2648589

17 March 2023 Complete characterization of RNA biomarker fingerprints using a multi-modal spectroscopy approach for early breast cancer diagnosis

Shuyan Zhang, Qing Yang S. Wu, Fann Ting Casey Ang, Melissa Hum, Jayakumar Perumal, Ann S. G. Lee, Jinghua Teng, Dinish U.S., Malini Olivo

Author Affiliations +

Proceedings Volume PC12363, Multiscale Imaging and Spectroscopy IV; PC123630F (2023) https://doi.org/10.1117/12.2648589
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Breast cancer is the most common cancer worldwide. Mammography screening and biopsy procedures for abnormal mammograms are the gold standard detection method, however, it is invasive, time-consuming, and labor-intensive. RNA biomarkers in circulating blood may be an alternative to the gold standard. We have adopted a multi-modal approach using Fourier transform infrared (FTIR) spectroscopy and Raman spectroscopy that provides a complete characterization of RNA biomarker fingerprints in the full spectrum. We have measured 99 patients’ serum samples and achieved a higher accuracy, specificity, and sensitivity using the multi-modal approach combined with machine learning analysis than using the individual techniques alone.

Conference Presentation

Citation Download Citation

Shuyan Zhang, Qing Yang S. Wu, Fann Ting Casey Ang, Melissa Hum, Jayakumar Perumal, Ann S. G. Lee, Jinghua Teng, Dinish U.S., and Malini Olivo "Complete characterization of RNA biomarker fingerprints using a multi-modal spectroscopy approach for early breast cancer diagnosis", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC123630F (17 March 2023); https://doi.org/10.1117/12.2648589

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