1
1. Tissue Lipid-Clearing by CLARITY Technique Abstract Method 4. Comparison of Ki67 Expression in 3D and 2D images by Conventional Pathology Scoring Conclusions and Future Directions Acknowledgement and References 1. Structural and molecular interrogation of intact biological systems. Kwanghun Chung, Karl Deisseroth et al. Nature. 2013 May 16;497(7449):332-7. 2. Advanced CLARITY for rapid and high-resolution imaging of intact tissues. Raju Tomer, Karl Deisseroth et al. Nat Protoc. 2014 Jul;9(7):1682-97. 3. Pathways to clinical CLARITY: volumetric analysis of irregular, soft, and heterogeneous tissues in development and disease. Brian Hsueh, Karl Deisseroth et al. Sci Rep. 2017 Jul 19;7(1):5899. Background: The tumor microenvironment is spatially and compositionally very heterogenous, which introduces great challenges to characterize the underlying factors using standard 2D diagnostic methodologies. Capturing high resolution 3D quantitative biomarker data, while simultaneously preserving morphology of the tumor microenvironment, could lead to a better understanding of key spatial relationships and may lead to better prognostic and predictive clinical outcomes. In this study, we utilized a novel technique, CLARITY, to transform core needle biopsies from patients with breast cancer, into optically transparent tissues, followed by multiplex immunostaining and 3D imaging of molecular markers. This data was compared to the conventional methods of immunofluorescence staining on FFPE thin sections. Methods: Formalin-fixed (less than 24 hours) human breast cancer core needle biopsy tissue pairs (tumor and adjacent normal) were obtained from patients undergoing excisional surgery. Tissues were subsequently embedded in 4% paraformaldehyde containing a 4%/0.05% ratio of acrylamide/BIS for 48 hours, and polymerized to form an intact hydrogel/tissue matrix. The samples were sectioned to a thickness of 500 µm and lipid-cleared in a solution of 0.2M borate buffer containing 8% SDS, pH 8.5 at 45°C. The tissues were then immunostained for various cellular markers (Pan-cytokeratin, Ki67 and CD3) and counterstained with DAPI. Samples were refractive index matched prior to 3D imaging on a Leica SP8 laser scanning confocal microscope or a Lavision BioTec Ultramicroscope II, light sheet microscope. Results: During the process, the samples remained intact and the cellular morphology was well preserved. The average passive lipid-clearing time for breast cancer core needle biopsy tissue was 5-20 days depending on the size of the tumor. The majority of the samples reached visual optical transparency, with the exception of some regions that contained heavy fibrotic tissue. Preliminary results demonstrated that specific staining of various cellular and nuclear markers was successful as evidenced by 3D imaging. As compared to the images obtained from 2D thin sections, the CLARITY procedure followed by 3D imaging yielded significant imaging depth, with the potential to greatly enhance the understanding of the heterogeneity of the tumor microenvironment. Conclusion: This is the first study demonstrating that other than fresh or frozen tissues, pre-fixed clinical tissue from patients with breast cancer, can be successfully processed by the CLARITY method and 3D imaged, indicating that the potential power of the technique for core needle biopsy tissue processing and in the identification of biomarkers based on tumor cell heterogeneity. Printed by Three-dimensional (3D) Imaging of Biomarkers in Human Core Needle Biopsies of Cancerous Breast Tissue Yi Chen 1 , Qi Shen 1 , Laurie J. Goodman 1 , Yesim Gokmen-Polar 2 , Sunil Badve 2 1 ClearLight Diagnostics, LLC, Sunnyvale, CA 94085 2 Indiana University School of Medicine, Department of Pathology and Laboratory Medicine, Indianapolis, IN 46202 #351 #7 Pre-fixed tumor #8 Pre-fixed tumor #7Tumor Day 0 #7 Tumor H&E 40X #7 Tumor Day 12 #8Tumor Day 0 #8Tumor Day 12 #7 Tumor FFPE 2D sections Ki67 CD3 1. Pre-fixed clinical tissue from patients with breast cancer can be successfully processed by the CLARITY method and 3D imaged. 2. Pathology scoring of 3D images from HM embedded cleared tissues showed concordant results compared to 2D images from FFPE samples surveyed throughout the same sized block indicating CLARITY is a powerful tissue processing technique that is compatible with clinical sample immunostaining. 3. Further image analysis will be aimed at quantifying target expression levels as well as key spatial relationships (infiltrating T cells) using 3D digital quantitative analysis tools. #7 Tumor HM embedded 3D sections 25X 3. Ki67 Antibody Titration in Tonsil Tissue 2. 3D and Optical Slices of Immunostained Tissue Optical section #5 Optical section #10 Optical section #15 Optical section #20 Optical section #25 CD3-AF647 #8 tumor 3D images DAPI pan-CK Ki67 CD3 Leica SP8 Confocal Microscope Imaging Z stack, 25X Fig 3 Tonsil tissues (3mm*3mm*0.5mm) were immunostained with varying dilutions of a primary antibody against Ki-67, followed by an Alexa Fluor 568 labeled secondary antibody. Samples were imaged using a Leica SP8 confocal microscope (Z stack, step size 3µm). Top: 2D XY view images of nuclear Ki67 expression around germinal center. Bottom: 3D XZ view of Ki67 staining depth. The staining pattern of dilutions <1:200 becomes weak and sparse. And the dilution >1:50 has significant increased noise. These results indicate that dilutions of 1:50-1:200 are optimal antibody concentration to use. Fig 2 3D images (top) and optical section images (bottom) of #8 breast tumor tissue (2mm*1.5mm*0.5mm). Breast tissue cleared as shown in Fig 1 were immunostained with antibodies against pan-CK, Ki67 and CD3 (optimized doses) followed by a DAPI counterstain and imaged with a Leica SP8 confocal microscope (25X, Z stack). Images were visualized by Imaris Version 9.0. Fig 1 Breast cancer core biopsy tissues #7 and #8 (left two images) were embedded in the hydrogel matrix and sectioned to 500 µm thickness. Tissues were cleared by 8% SDS, pH 8.5 at 45°C (middle four images). The four right images are H&E stained samples (10X, 40X). Breast cancer core needle biopsy tissues were kindly provided by Indiana University School of Medicine, Department Pathology and Laboratory Medicine. Fig 4 Comparison of 2D images from FFPE sections (5µm) (left, bottom) and 3D images from HM embedded thick sections (500µm) left, top) . Ten images from both thin and thick sections were taken for Ki67 scoring as an initial comparison (top, right). Blind scoring was done by independent pathology professionals and results were analyzed by Graphpad Prism 7.0 (right, bottom). Based on this initial data, equivalent tissue sections from the thicker CLARITY processed, immunostained tumor tissue is concordant with a mirrored FFPE 2D tissue. CD3 CD3 Ki67 2mm*2mm*0.5mm 2mm*1.5 mm*0.5mm #7 Tumor H&E 10X Germinal center Germinal center Germinal center Germinal center Germinal center #8 Tumor H&E 10X #8 Tumor H&E 40X lymphocytes Tumor cells DAPI Pan-CK(AE1/AE3)-AF488 Ki67-AF568 CD3-AF647 XY view, 25X XZ view, 25X Optical section #5 Optical section #10 Optical section #15 Optical section #20 Optical section #25 Ki67 AF: Alexa Fluor

Three-dimensional (3D) Imaging of Biomarkers in Human Core

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1. Tissue Lipid-Clearing by CLARITY TechniqueAbstract

Method

4. Comparison of Ki67 Expression in 3D and 2D images by Conventional Pathology Scoring

Conclusions and Future Directions

Acknowledgement and References

1. Structural and molecular interrogation of intact biological systems. Kwanghun Chung, Karl Deisseroth et al. Nature. 2013 May 16;497(7449):332-7.

2. Advanced CLARITY for rapid and high-resolution imaging of intact tissues. Raju Tomer, Karl Deisseroth et al. Nat Protoc. 2014 Jul;9(7):1682-97.3. Pathways to clinical CLARITY: volumetric analysis of irregular, soft, and heterogeneous tissues in development and disease. Brian Hsueh, Karl Deisseroth et al. Sci Rep. 2017 Jul 19;7(1):5899.

Background: The tumor microenvironment is spatially and compositionally very heterogenous, which introducesgreat challenges to characterize the underlying factors using standard 2D diagnostic methodologies. Capturing highresolution 3D quantitative biomarker data, while simultaneously preserving morphology of the tumormicroenvironment, could lead to a better understanding of key spatial relationships and may lead to better prognosticand predictive clinical outcomes. In this study, we utilized a novel technique, CLARITY, to transform core needlebiopsies from patients with breast cancer, into optically transparent tissues, followed by multiplex immunostaining and3D imaging of molecular markers. This data was compared to the conventional methods of immunofluorescencestaining on FFPE thin sections.Methods: Formalin-fixed (less than 24 hours) human breast cancer core needle biopsy tissue pairs (tumor andadjacent normal) were obtained from patients undergoing excisional surgery. Tissues were subsequently embeddedin 4% paraformaldehyde containing a 4%/0.05% ratio of acrylamide/BIS for 48 hours, and polymerized to form anintact hydrogel/tissue matrix. The samples were sectioned to a thickness of 500 µm and lipid-cleared in a solution of0.2M borate buffer containing 8% SDS, pH 8.5 at 45°C. The tissues were then immunostained for various cellularmarkers (Pan-cytokeratin, Ki67 and CD3) and counterstained with DAPI. Samples were refractive index matchedprior to 3D imaging on a Leica SP8 laser scanning confocal microscope or a Lavision BioTec Ultramicroscope II, lightsheet microscope.Results: During the process, the samples remained intact and the cellular morphology was well preserved. Theaverage passive lipid-clearing time for breast cancer core needle biopsy tissue was 5-20 days depending on the sizeof the tumor. The majority of the samples reached visual optical transparency, with the exception of some regions thatcontained heavy fibrotic tissue. Preliminary results demonstrated that specific staining of various cellular and nuclearmarkers was successful as evidenced by 3D imaging. As compared to the images obtained from 2D thin sections, theCLARITY procedure followed by 3D imaging yielded significant imaging depth, with the potential to greatly enhancethe understanding of the heterogeneity of the tumor microenvironment.Conclusion: This is the first study demonstrating that other than fresh or frozen tissues, pre-fixed clinical tissue frompatients with breast cancer, can be successfully processed by the CLARITY method and 3D imaged, indicating thatthe potential power of the technique for core needle biopsy tissue processing and in the identification of biomarkersbased on tumor cell heterogeneity.

Printed by

Three-dimensional (3D) Imaging of Biomarkers in Human Core Needle Biopsies of Cancerous Breast TissueYi Chen1, Qi Shen1, Laurie J. Goodman1, Yesim Gokmen-Polar2, Sunil Badve2

1ClearLight Diagnostics, LLC, Sunnyvale, CA 940852Indiana University School of Medicine, Department of Pathology and Laboratory Medicine, Indianapolis, IN 46202#351

#7 Pre-fixed tumor

#8 Pre-fixed tumor

#7Tumor Day 0 #7 Tumor H&E 40X#7 Tumor Day 12

#8Tumor Day 0 #8Tumor Day 12

#7 Tumor FFPE 2D sections

Ki67CD3

1. Pre-fixed clinical tissue from patients with breast cancer can be successfully processed by theCLARITY method and 3D imaged.

2. Pathology scoring of 3D images from HM embedded cleared tissues showed concordant resultscompared to 2D images from FFPE samples surveyed throughout the same sized block indicatingCLARITY is a powerful tissue processing technique that is compatible with clinical sampleimmunostaining.

3. Further image analysis will be aimed at quantifying target expression levels as well as key spatialrelationships (infiltrating T cells) using 3D digital quantitative analysis tools.

#7 Tumor HM embedded 3D sections

25X

3. Ki67 Antibody Titration in Tonsil Tissue

2. 3D and Optical Slices of Immunostained Tissue

Optical section #5 Optical section #10 Optical section #15 Optical section #20 Optical section #25

CD3-AF647#8 tumor 3D imagesDAPI pan-CK Ki67 CD3

Leica SP8 Confocal Microscope ImagingZ stack, 25X

Fig 3 Tonsil tissues (3mm*3mm*0.5mm) wereimmunostained with varying dilutions of aprimary antibody against Ki-67, followed by anAlexa Fluor 568 labeled secondary antibody.Samples were imaged using a Leica SP8confocal microscope (Z stack, step size 3µm).Top: 2D XY view images of nuclear Ki67expression around germinal center. Bottom:3D XZ view of Ki67 staining depth. Thestaining pattern of dilutions <1:200 becomesweak and sparse. And the dilution >1:50 hassignificant increased noise. These resultsindicate that dilutions of 1:50-1:200 areoptimal antibody concentration to use.

Fig 2 3D images (top) andoptical section images (bottom)of #8 breast tumor tissue(2mm*1.5mm*0.5mm). Breasttissue cleared as shown in Fig 1were immunostained withantibodies against pan-CK, Ki67and CD3 (optimized doses)followed by a DAPI counterstainand imaged with a Leica SP8confocal microscope (25X, Zstack). Images were visualizedby Imaris Version 9.0.

Fig 1 Breast cancer corebiopsy tissues #7 and #8(left two images) wereembedded in thehydrogel matrix andsectioned to 500 µmthickness. Tissues werecleared by 8% SDS, pH8.5 at 45°C (middle fourimages). The four rightimages are H&E stainedsamples (10X, 40X).

Breast cancer core needle biopsy tissues were kindly provided by Indiana University School of Medicine, Department Pathology andLaboratory Medicine.

Fig 4 Comparison of 2D images fromFFPE sections (5µm) (left, bottom) and3D images from HM embedded thicksections (500µm) left, top) . Ten imagesfrom both thin and thick sections weretaken for Ki67 scoring as an initialcomparison (top, right). Blind scoring wasdone by independent pathologyprofessionals and results were analyzedby Graphpad Prism 7.0 (right, bottom).Based on this initial data, equivalenttissue sections from the thicker CLARITYprocessed, immunostained tumor tissue isconcordant with a mirrored FFPE 2Dtissue.

CD3

CD3

Ki67

2mm*2mm*0.5mm

2mm*1.5 mm*0.5mm

#7 Tumor H&E 10X

Germinal centerGerminal center Germinal centerGerminal centerGerminal center

#8 Tumor H&E 10X #8 Tumor H&E 40X

lymphocytesTumor cells

DAPIPan-CK(AE1/AE3)-AF488Ki67-AF568CD3-AF647

XY view, 25X XZ view, 25X

Optical section #5 Optical section #10 Optical section #15 Optical section #20 Optical section #25

Ki67

AF: Alexa Fluor