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New Technologies That Will Have an Impact on Cancer Sylvester Comprehensive Cancer Center Well-Being Session,  April 26, 2011   Richard J. Cote, MD, FRCPath Chair, Pathology  Director, Biomedical Nanoscience Institute University of Miami
Length Scales FITC IgG DNA Diameter GFP Virus Colloidal gold Bacterium Animal Cell Plant Cell 0.5nm 5nm 2nm 1nm 50nm 100nm 1  m 10  m 100  m Nanoworld Microworld
Advantages of Going Nano ,[object Object],[object Object],[object Object],[object Object]
Possible Applications of Nanotechnology in Cancer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Limitations of current blood tests for cancer  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PSA Detection with Bionanosensor In 2 O 3  NW  Device SWNT Mat Device
Challenge in Building and Using Nanosensor Devices: Need microfluidics 24 Sensor Array for Coupling with Microfluidic Delivery + = A sensor  array chip  with 3 rows of 8 devices is  overlaid  with a matching PDMS  microflidic system . Indium Oxide Nanowires  are grown chemically to lie across electrical ‘ source ’ and ‘ drain ’ to create a ‘ device ’.  An FET array contains 3 rows of 8 devices to form a Sensor Array Chip.
Nanoparticle Therapeutic Delivery Vehicles ,[object Object],[object Object],[object Object],[object Object],[object Object],Carbon nanotubes Dendrimer McNeil, 2005. Nanoparticle albumin-bound paclitaxel cell membrane Microvessel Lumen caveolin-1 gp60 gp60 captures circulating albumin-bound paclitaxel Caveolae: Budding and internalization of gp60 receptors with albumin-bound paclitaxel Transcytosis and intratumoral deposition of albumin-bound paclitaxel Adapted from  John T.A. et al.  (2003),  Am. J. Physiol. Lung Cell Mol Physiol . 284, L187-L196.  Tumor Interstitium Abraxane:  A Novel  Breast Cancer  Therapeutic
[object Object]
Bone Marrow Occult Metastasis
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CTC : Circulating tumor cells – Tumor cells in peripheral blood Early detection of  CTC in blood is difficult, because CTC are extremely  rare   on hematopoietic background  Metastasis & Circulating Tumor Cells
Challenge: Detection of CTC is Very Difficult   ,[object Object],[object Object],[object Object]
Mean (and range) of sizes of normal cellular components of blood, and certain cancer cell lines. Universal Platform for Cell Capture Based on Size Normal blood components  Cancer cell lines 0 5 10 15 20 25 30 Platelets RBC Basophils Lymphocytes Neutrophils Eosinophils Monocytes NCI-H522 J82 RT4 HCC-70 MDA-MB-231 HT1080 T24 SK-Br-3 HCC-38 LnCaP NCI-1395 Cell size ( μ m)
Microfilter Based Cell Separation Assembled Filter Device Parylene Filter Membrane SEM of Cell Captured on filter Syringe 1 PDMS Chamber Parylene Membrane Filter Trapped Tumor Cell RBC’s in the flow through MNCs 100µm A B C 100µm
Multiplexed Imaging  On-Chip Multiplex PCR Her2/neu  FISH  analysis on microfilter CK   PSA   CK   PSA   DAPI
“ Patient Management” using CTC Detection Using CTC in the blood as a “virtual” tumor biopsy Quantitation Target identification Stem cell identification Quantitation Target identification Stem cell identification Functional   changes Monitoring CTC CTC CTC CTC Rx Rx Rx ,[object Object],[object Object],[object Object],[object Object],Diagnosis Rx
The Future of Medicine ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Serial CTC counts predict survival in prostate cancer Moreno et al  Proc Am Soc Clin Oncol  2007;25:239s. DeBono et al,  CCR  , 2008,  MSKCC, CCF, U Mich Kaplan–Meier plot for overall survival of CTC counts categories conversion at any time point following the early or late cycle of treatment. Survival times were calculated from the date of baseline (BL) CTC blood draw. Multivariate analysis was carried out using a Cox regression model with a time-dependant co-variable. 1 2 3 4 Curve  Logrank Comparison  p-Value*  1 vs.  2 0.1528 1 vs.  3 <0.0001 1 vs.  4 <0.0001 2 vs.  3 <0.0001 2 vs.  4 <0.0001 3 vs.  4 0.5013 %Probability of Survival Time from Baseline Blood Draw (Months) 0 2 4 6 8 10 12 14 16 18 22 24 26 28 30 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 20 *p-values not adjusted for multiple hypothesis tests Grp Description N (%) Median OS in  months (95% CI) 1 <5 CTC at all draws 88 (38%) >26  (21.4 to -----) 2 > 5 CTC at BL & <5 CTC at last draw 45 (20%) 21.3  (18.4 to ----) 3 <5 CTC at Early Draw &  > 5 CTC at Last Draw  26 (11%) 9.3  (8.2 to 11.3) 4 > 5 CTC at All Draws  71 (31%) 6.8  (5.8 to 10.3)
[object Object],[object Object],[object Object],Quantum Dots: Inorganic Nanocrystals  CdTe CdSe Emission Wavelength (nm) Excitation at 360nm 700  650  600  550  500  450 Normalized intensity 6nm 3nm 2nm 6nm
Nanoparticles can serve as imaging contrast agents Magnetized nanoparticles can be used to image sentinel lymph nodes  Example:  SentiMag technology by Endomagnetics Johnson L et al, Discov Med. 2010 Apr;9(47):374-9. QD800- based imaging agents tested in vivo are stable up to several days Yang et al, Oral Oncology, 46, 864-868, 2010
Cote et al J Clin Oncol. 1991 Recurrence Rates Based on Tumor Burden in the Bone Marrow
[object Object],[object Object],[object Object],[object Object],[object Object],What Will an Ideal CTC Capture Platform Allow?
Nanosensor Platforms Team Nanosensor Collaborators Dr. Mark Thompson, USC  Dr. Chong wu Zhou, USC  Dr. Thomas Thundat, ORNL  Dr. Ram Datar, UM Dr. Marco Curreli, USC  Dr. Fumi Ishikawa, USC  Dr.  Henry Lin, ORNL  Dr. Arun Majumdar
Dr. Yu Chong Tai, Caltech  Dr. Ram Datar, UM  Dr. Marija Balic, Austria Dr. Siyang Zheng , PennState  Dr. Henry Lin, ORNL  Anthony Williams, UM CTC Microfilter Team CTC Microfilter Collaborators

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Nanotechnology in Cancer - Dr. Cote

  • 1. New Technologies That Will Have an Impact on Cancer Sylvester Comprehensive Cancer Center Well-Being Session, April 26, 2011 Richard J. Cote, MD, FRCPath Chair, Pathology Director, Biomedical Nanoscience Institute University of Miami
  • 2. Length Scales FITC IgG DNA Diameter GFP Virus Colloidal gold Bacterium Animal Cell Plant Cell 0.5nm 5nm 2nm 1nm 50nm 100nm 1  m 10  m 100  m Nanoworld Microworld
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. PSA Detection with Bionanosensor In 2 O 3 NW Device SWNT Mat Device
  • 8. Challenge in Building and Using Nanosensor Devices: Need microfluidics 24 Sensor Array for Coupling with Microfluidic Delivery + = A sensor array chip with 3 rows of 8 devices is overlaid with a matching PDMS microflidic system . Indium Oxide Nanowires are grown chemically to lie across electrical ‘ source ’ and ‘ drain ’ to create a ‘ device ’. An FET array contains 3 rows of 8 devices to form a Sensor Array Chip.
  • 9.
  • 10.
  • 11. Bone Marrow Occult Metastasis
  • 12.
  • 13.
  • 14. Mean (and range) of sizes of normal cellular components of blood, and certain cancer cell lines. Universal Platform for Cell Capture Based on Size Normal blood components Cancer cell lines 0 5 10 15 20 25 30 Platelets RBC Basophils Lymphocytes Neutrophils Eosinophils Monocytes NCI-H522 J82 RT4 HCC-70 MDA-MB-231 HT1080 T24 SK-Br-3 HCC-38 LnCaP NCI-1395 Cell size ( μ m)
  • 15. Microfilter Based Cell Separation Assembled Filter Device Parylene Filter Membrane SEM of Cell Captured on filter Syringe 1 PDMS Chamber Parylene Membrane Filter Trapped Tumor Cell RBC’s in the flow through MNCs 100µm A B C 100µm
  • 16. Multiplexed Imaging On-Chip Multiplex PCR Her2/neu FISH analysis on microfilter CK PSA CK PSA DAPI
  • 17.
  • 18.
  • 19. Serial CTC counts predict survival in prostate cancer Moreno et al Proc Am Soc Clin Oncol 2007;25:239s. DeBono et al, CCR , 2008, MSKCC, CCF, U Mich Kaplan–Meier plot for overall survival of CTC counts categories conversion at any time point following the early or late cycle of treatment. Survival times were calculated from the date of baseline (BL) CTC blood draw. Multivariate analysis was carried out using a Cox regression model with a time-dependant co-variable. 1 2 3 4 Curve Logrank Comparison p-Value* 1 vs. 2 0.1528 1 vs. 3 <0.0001 1 vs. 4 <0.0001 2 vs. 3 <0.0001 2 vs. 4 <0.0001 3 vs. 4 0.5013 %Probability of Survival Time from Baseline Blood Draw (Months) 0 2 4 6 8 10 12 14 16 18 22 24 26 28 30 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 20 *p-values not adjusted for multiple hypothesis tests Grp Description N (%) Median OS in months (95% CI) 1 <5 CTC at all draws 88 (38%) >26 (21.4 to -----) 2 > 5 CTC at BL & <5 CTC at last draw 45 (20%) 21.3 (18.4 to ----) 3 <5 CTC at Early Draw & > 5 CTC at Last Draw 26 (11%) 9.3 (8.2 to 11.3) 4 > 5 CTC at All Draws 71 (31%) 6.8 (5.8 to 10.3)
  • 20.
  • 21. Nanoparticles can serve as imaging contrast agents Magnetized nanoparticles can be used to image sentinel lymph nodes Example: SentiMag technology by Endomagnetics Johnson L et al, Discov Med. 2010 Apr;9(47):374-9. QD800- based imaging agents tested in vivo are stable up to several days Yang et al, Oral Oncology, 46, 864-868, 2010
  • 22. Cote et al J Clin Oncol. 1991 Recurrence Rates Based on Tumor Burden in the Bone Marrow
  • 23.
  • 24. Nanosensor Platforms Team Nanosensor Collaborators Dr. Mark Thompson, USC Dr. Chong wu Zhou, USC Dr. Thomas Thundat, ORNL Dr. Ram Datar, UM Dr. Marco Curreli, USC Dr. Fumi Ishikawa, USC Dr. Henry Lin, ORNL Dr. Arun Majumdar
  • 25. Dr. Yu Chong Tai, Caltech Dr. Ram Datar, UM Dr. Marija Balic, Austria Dr. Siyang Zheng , PennState Dr. Henry Lin, ORNL Anthony Williams, UM CTC Microfilter Team CTC Microfilter Collaborators