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Gaining New Insights Through IF Multiplexed Staining and ... · ER PR HER2 Ki67 P21 CD4 CD8...

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Gaining New Insights Through IF Multiplexed Staining and Analysis Tyna Hope, Ph.D. P.Eng Biomarker Imaging Research Laboratory October 5, 2017
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Page 1: Gaining New Insights Through IF Multiplexed Staining and ... · ER PR HER2 Ki67 P21 CD4 CD8 Application in Breast Cancer Research. 9 Our First Experiment •Breast cancer biomarker

Gaining New Insights Through IF

Multiplexed Staining and Analysis

Tyna Hope, Ph.D. P.Eng

Biomarker Imaging Research Laboratory

October 5, 2017

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Assessing more from Tissue Sections

October 5, 2017

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Gaps with More Common Methods

October 5, 2017

• Most common practice is to assess via individual IHC on sequential

serial sections (different cells)

• Multispectral methods are limited in the number of markers, because of

the need to separate the colour stains in the same pixel

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MxIF

October 5, 2017

HER2/neu + ER +

PgR

HER2/neu

Cytokeratin

Ki67PgRER

ER + PgR + Ki67 +

CytokeratinDAPI

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Sequential Stain and Bleach

Cy3-Ab1 Cy5-Ab2

Acquire background

AF Image

Stain slide with

Ab1 and Ab2

Acquire IF imageBleach

Fluorophor

>60 proteins

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Multiplexing Method

Multiplexing with GE’s MxIF

October 5, 2017

• Formalin fixed and paraffin

embedded tissue samples.

• Automatic sequential stain-image-

bleach approach utilizing direct

antibody-fluorophore conjugation.

• We are also able to stain and

bleach manually by use the imaging

equipment.

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CD3

+

CD4

CD4

+

CD8

CD3 +

CD4 +

CD8

CK + CD4 + CD8CD3 – Red

CD4 – Green

CD8 – Blue

Cytokeratin – purple

Application in Ovarian Cancer Research

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ER PR HER2 Ki67 P21 CD4 CD8

Application in Breast Cancer Research

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9

Our First Experiment

• Breast cancer biomarker panel: ER, PR, Ki67, HER2

• Segmentation markers: Dapi, cytokeratin, NaKATPase, S6

• First generation equipment

October 5, 2017

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Goals

• Determine if the signal correlated with the known grade of the patient

• Determine if the signal correlated with the pathologists’ scores

• Assess co-localization of biomarkers

October 31, 2017

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Calibration and Validation Data

TMA Patients,cores

Cores

included

Biomarkers

AS2000 55,3 144 ER and PR

AS3000 50,3 136 Ki67 and Her2

AS4000 50, 2 99ER,PR,Ki67,HE

R2

Tissue microarrays were intended to be used for calibration

(AS2000,AS3000) and validation (AS4000) during model development.

Omitted cores are due to missing tissue.

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Technique Development

We had to change the protocol to

prevent false positive signals.

Antibody species cross-reaction

caused the nuclear staining ki67 to

appear to stain the membrane.

Cy5

Her2

Bleached

Ki67PR

ER

Dan Wang, et al., AIMM 2015 August 5Wang D, Pang Z, Clarke GM, Nofech-Mozes S, Liu K, Cheung A, Filkins RJ,Yaffe MJ. Ki-67

membranous staining – biologically relevant or an artifact of multiplexed immunofluorescent

staining. Applies Immunohistochemistry & Molecular Morphology 2015 Aug 5.

Cy3

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Technique Development

Cy5

Her2

BleachedBleached

Ki67PR

ER

Dan Wang, et al., AIMM 2015 August 5

ER

Ki67HER2/neuPgRER

Ki67HER2/neuPgR

200 um

Validation of IF staining protocol using IHC stained serial sections.

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Discussion

Plan: Develop methods on calibration data and assess on validation data.

Reality: We had limit our assessment to ER and HER2 in the calibration

set. WHY?

• Cross-reactivity meant PR and Ki67 signals were questionable for

calibration data set

• Validation signal magnitudes were much different than the calibration set

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Results

Models were developed on ER and HER2 from the calibration data

set only. We found an association between the image signal and

pathologists’ IHC score.

•Complex models, using groups of decision trees

•Scale and intensity invariant features

•Used out-of-bag (OOB) error rate (like cross-validation)

•ER model: OOB 5.7% (94.3% accuracy), 95% CI (0.89, 0.98).

•HER2 model: OOB 4.6% (95.4 % accuracy)

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Companion Software

October 5, 2017

Visualize as H&E

Nuclear, cytoplasm, membrane

segmentation

Obtain quantitative information on each cell.

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In-house Developed tools

October 5, 2017

ER PgR Ki67

+ - - +

- + - +

- - + +

- - - +

- + + +

+ - + +

+ + - +

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In-house Developed Tools

October 5, 2017

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In-house Developed Tools

October 5, 2017

Tumour A

microenvironment

Tumour A

3

1

1

1

1

1

2

2

2

2

2

2

2

3

3

3

3

3

33

11

1

1

1

1

3

3

3

2

2

2

2

1

Tumour B

microenvironment

Tumour B

3

3

1

1

1

1

2

2

3

3

3

2

3

3

3

3

3

3

33

1

1

1

1

1

3

3

3

3

2

2

3

2

1

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Quantification of relationships

Our goal is to describe the spatial

arrangement of types of cells making

up the tumour and/or the

microenvironment.

This may help us understand the

heterogeneity of cell populations within

a patient and across patients.

October 5, 2017

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Finishing Touches

October 5, 2017

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Biomarker Imaging Research Laboratory

Lab Members

• Martin Yaffe, Ph.D., C.M. – Principle Investigator

• Gordon Mawdsley, BSc, FCCPM, P.Phys. – Lab Manager

• Alison Cheung, PhD – Research Associate

• Yulia Yerofeyeva, M.Sc. – Program Manager

• Kela Lui, MD – Immunohistochemistry Technologist

• Dan Wang. M.Sc. – Immunohistochemistry Technologist

• Taha Rashed BHc (MLS), MLT – Lead Medical Laboratory Technologist

• Rachel Peters, AIMLS (UK), FIMLS (UK), ART (Can) – Medical Laboratory

Technologist

• Adebayo Adeeko, FIScT, PG Dip., MLA/T – Medical Laboratory Technician

• Mayan Murray, M.Eng., EIT – Research Engineer

Reach us: [email protected]

[email protected]

October 5, 2017


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