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Automated Subcellular Localization And Quantification Of Protein Expression In Tissue Microarrays

R. Camp, G. Chung, D. Rimm
Published 2002 · Biology, Medicine

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The recent development of tissue microarrays—composed of hundreds of tissue sections from different tumors arrayed on a single glass slide—facilitates rapid evaluation of large-scale outcome studies. Realization of this potential depends on the ability to rapidly and precisely quantify the protein expression within each tissue spot. We have developed a set of algorithms that allow the rapid, automated, continuous and quantitative analysis of tissue microarrays, including the separation of tumor from stromal elements and the sub-cellular localization of signals. Validation studies using estrogen receptor in breast carcinoma show that automated analysis matches or exceeds the results of conventional pathologist-based scoring. Automated analysis and sub-cellular localization of beta-catenin in colon cancer identifies two novel, prognostically significant tumor subsets, not detected by traditional pathologist-based scoring. Development of automated analysis technology empowers tissue microarrays for use in discovery-type experiments (more typical of cDNA microarrays), with the added advantage of inclusion of long-term demographic and patient outcome information.
This paper references
Predictive value of nuclear betacatenin expression for the occurrence of distant metastases in rectal cancer
K. Guenther (1998)
Tissue microarray: a new technology for amplification of tissue resources.
D. Rimm (2001)
Estrogen receptor, a marker for human breast cancer differentiation and patient prognosis.
C. Osborne (1981)
Principles of confocal microscopy.
J. Paul Robinson (2001)
Nuclear translocation of beta-catenin in colorectal cancer
M. Kobayashi (2000)
β‐catenin mutation and overexpression in hepatocellular carcinoma
C. Wong (2001)
Tissue microarrays for high-throughput molecular profiling of tumor specimens
J. Kononen (1998)
Clinical applications of laser scanning cytometry.
A. Tárnok (2002)
Chapter 4 Principles of confocal microscopy
J. Paul Robinson (2001)
beta-catenin expression in primary and metastatic colorectal carcinoma.
T. Hugh (1999)
β‐catenin signaling and cancer
P. Morin (1999)
Potential use of image analysis for the evaluation of cellular predicting factors for therapeutic response in breast cancers.
S. Bacus (1997)
Nuclear localization of EGF receptor and its potential new role as a transcription factor
Shiaw-Yih Lin (2001)
Protein expression analysis using quantitative fluorescence image analysis on tissue microarray slides.
J. Rao (2002)
Clinical prediction rules. Applications and methodological standards.
J. Wasson (1985)
Controversies at the cytoplasmic face of the cadherin-based adhesion complex.
E. Provost (1999)
Wnt signaling in oncogenesis and embryogenesis--a look outside the nucleus.
M. Peifer (2000)
β‐catenin expression in primary and metastatic colorectal carcinoma
T. Hugh (1999)
Tissue microarray technology for high-throughput molecular profiling of cancer.
O. Kallioniemi (2001)
Cytoplasmic Beta-Catenin Accumulation as a Predictor of Hematogenous Metastasis in Human Colorectal Cancer
K. Maruyama (2000)
Tissue Microarray Analysis of β-Catenin in Colorectal Cancer Shows Nuclear Phospho-β-catenin Is Associated with a Better Prognosis
G. Chung (2001)
Cytoplasmic β - catenin accumulation as a predictor of hematogenous metastasis in human colorectal cancer
K. Maruyama (2000)

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ImmunoMembrane: a publicly available web application for digital image analysis of HER2 immunohistochemistry
Vilppu J. Tuominen (2012)
Survival in Breast Cancer High HSP 90 Expression Is Associated with Decreased Updated
E. Pick (2007)
Utility of molecular genetic signatures in the delineation of gastric neoplasia
M. Kidd (2006)
Simple: A Sequential Immunoperoxidase Labeling and Erasing Method
George Glass (2009)
Downregulated expression of metallothionein and its clinicopathological significance in hepatocellular carcinoma
X. Tao (2007)
Development of DNA Damage Response Signaling Biomarkers using Automated, Quantitative Image Analysis
Nana Nikolaishvilli-Feinberg (2014)
Multispectral Imaging, Image Analysis, and Pathology
Richard M. Levenson (2010)
Quantitative analysis of microRNAs in tissue microarrays by in situ hybridization.
J. Hanna (2012)
Tissue microarrays without cores
D. Rimm (2005)
Phosphorylation of Akt ( Ser 473 ) Predicts Poor Clinical Outcome in Oropharyngeal Squamous Cell Cancer
Z. Yu (2007)
High-throughput profiling of tissue and tissue model microarrays: Combined transmitted light and 3-color fluorescence digital pathology
Michel A Nederlof (2011)
Trastuzumab and Pertuzumab Produce Changes in Morphology and Estrogen Receptor Signaling in Ovarian Cancer Xenografts Revealing New Treatment Strategies
D. Faratian (2011)
Quantitative analysis of estrogen receptor heterogeneity in breast cancer
G. Chung (2007)
Using a xenograft model of human breast cancer metastasis to find genes associated with clinically aggressive disease.
H. Kluger (2005)
Elsevier Editorial System(tm) for Medical Image Analysis Title: Histopathological Image Analysis: a Review Histopathological Image Analysis: a Review
M. Gurcan (2009)
Bax expression measured by AQUAnalysis is an independent prognostic marker in oral squamous cell carcinoma
P. Bose (2012)
A practical guide to constructing and using tissue microarrays.
I. Chandler (2011)
Growth factor receptor-bound protein-7 (Grb7) as a prognostic marker and therapeutic target in breast cancer.
Y. Nadler (2010)
Type XIII collagen expression is induced during malignant transformation in various epithelial and mesenchymal tumours
T. Väisänen (2005)
Advances in quantitative immunohistochemistry and their contribution to breast cancer
Vesal Yaghoobi (2020)
Molecular classification of nonsmall cell lung cancer using a 4‐protein quantitative assay
V. Anagnostou (2012)
Cell microarray platform for anticancer drug development
M. Lee (2007)
Biologically Relevant Heterogeneity: Metrics and Practical Insights
A. Gough (2017)
Use of Tissue Microarray and Automated Quantitative Analysis for Screening and Validation of Potential Biomarkers in Mantle Cell Lymphoma
D. Yang (2011)
Differentiation of Appendiceal Carcinoids By Marker Gene Expression
M. Kidd (2017)
Cav3.1 overexpression is associated with negative characteristics and prognosis in non-small cell lung cancer
A. Suo (2018)
Can Mol Sub Fac
Anton Jennif Linda (2010)
PD-L 1 Expression Correlates with Tumor-In fi ltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer
Hallie Wimberly (2015)
Practical Applications of Digital Pathology.
Daryoush Saeed-Vafa (2015)
CDK8 is a colorectal cancer oncogene that regulates β-catenin activity
Ron Firestein (2008)
Menopause: Developing a rational treatment plan
Danielle Vitiello (2007)
Multiplex immunoassays of peptide hormones extracted from formalin-fixed, paraffin-embedded tissue accurately subclassify pituitary adenomas.
Frederick G. Strathmann (2012)
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