Cellularly resolved molecular pathway assessment in biopsies via spectral imaging
Department of Health and Human Services
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Small Business Information
CAMBRIDGE RESEARCH AND INSTRUMENTATION
CAMBRIDGE RESEARCH, AND INSTRUMENTATION, INC., WOBURN, MA, 01801
Socially and Economically Disadvantaged:
AbstractDESCRIPTION (provided by applicant): This is a Fast-Track application to provide reliable, cellularly resolved molecular pathway assessment in cancer biopsies to assist pharmaceutical drug development and provision of patient-specific prognosis and therapy guidance ( personalized medicine ). The organizing theme is that the appropriate unit of analysis should be the individual cell as opposed to averaged tumor extracts. To this end, novel technologies will be coupled with careful methods-development. Spectral imaging and advanced image analysis tools will permit multi-target immunohistochemical (IHC) and/or immunofluorescence (IF) detection, at the cellular and subcellular level in intact tissue sections. CRi-developed image processing and machine-lea rning tools provide automation and sophisticated quantitation options. Multiplexed staining protocols will yield independent, potentially stoichiometric labeling with combined IHC and IF. The sensitivity of all potential markers to variations in tissue han dling will be carefully assessed; some may be robust and suitable for archival tissue studies, others will be too labile. Ultrasound-assisted fixation will be tested for its ability to preserve such labile epitopes for use in prospectively acquired tissues . Four or more pathway-related proteins will be detected in tissue sections, on a cell-by-cell basis, even if co-localized and with spectrally overlapping labels. The coordinated subcellular location of the pathway molecules will be also tracked, with simu ltaneous assessment of cell-surface receptors (e.g., EGFR, VEGF, Her2-neu), downstream signaling proteins and phosphoproteins (e.g., pAKT, pERK), nuclear proteins (e.g., ER, Ki67), and novel players such as protein-folding mediators (e.g. BIP1). Th e project will combine optimized tissue protocols, multiplexed IHC/IF reagent kits, and unique machine- learning image analysis that can be used to automate region-detection and label-quantitation. All these depend on CRi's multispectral imaging approaches for assessing multiple analytes on a cell-by-cell and cell- compartment basis in tissue sections. Our collaborators will provide small-animal tumor models for early methods development, multiplexed immunohistochemical labeling of pathway proteins in clini cal cancer biopsies, access to archived and prospectively acquired tissues from pathway-targeting clinical drug trials, highly informative archival tissue microarrays, access to validated, activation-specific antibodies, ultra-fast tissue fixation, and bio statistics support. The deliverable will be a suite of products suitable for clinical use that can provide much-needed valid information on single-cell-based pathway status in an intact tissue context to support pharmaceutical drug development efforts an d provide molecularly focused patient care. Significance and lay narrative: The ability to quantitatively evaluate multiple molecular targets and pathways on a cell-by-cell basis, in a single preparation of clinical tissue, is missing from the curr ent toolbox of personalized medicine, which lacks good means of matching novel drugs and drug candidates to specific patients. Conventional molecular pathology methods are typically limited to a single immunohistochemical (IHC) test on a given tissue secti on or to expensive and time-consuming proteomics or expression-array approaches (which cannot directly report out pathway activation status in cancer cell populations and subpopulations). Multiplexed IHC (including immuno-fluorescence) combined with optimi zed sample handling protocols to retain pathway proteins and advanced image analysis will enable the unambiguous detection of active signaling pathways, benefiting pharmaceutical research in the selection of patients for better targeted trials and in the m onitoring of response, and clinical practice for diagnosis, therapy selection, and monitoring response (i.e., theranostics).
* information listed above is at the time of submission.