Nanomolecular histopathology for renal tumor classification

Andrew N. Young, Mahul B. Amin, John A. Petros, Michael J. Natan, Shuming Nie, May D. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Renal tumors are classified into histopathologic subtypes based on light microscopy. Classification is important because subtypes have distinct genetic abnormalities and clinical behavior, yet is difficult because many cases have heterogeneous morphology. Thus, several molecular assays have been developed for tumor classification. Immunohistochemistry (IHC) permits correlation of molecular data with tissue morphology, but is difficult to quantify or perform in multiplex. Quantitative RT-PCR and gene expression microarrays are more quantitative, but lose morphologic information. We hypothesize that direct integration of histopathology with nanomolecular expression profiling will provide sensitive and specific data for renal tumor classification. Thus, we are developing novel IHC assays using antibodies conjugated to nanoparticle tags with surface-enhanced Raman scattering properties (SERS). Our preliminary data suggests that SERS-IHC can be performed using standard microscopic equipment, with potential for sensitive, quantitative multiplex assays on fixed tissues.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages723-726
Number of pages4
ISBN (Print)0780387406, 9780780387409
DOIs
StatePublished - Jan 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Young, A. N., Amin, M. B., Petros, J. A., Natan, M. J., Nie, S., & Wang, M. D. (2005). Nanomolecular histopathology for renal tumor classification. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 723-726). [1616516] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iembs.2005.1616516