Automated quantitative analysis of estrogen receptor expression in breast carcinoma does not differ from expert pathologist scoring: A tissue microarray study of 3,484 cases

Breast Cancer Research and Treatment

Volumn 110, Issue 3, 2008, Pages 417-426

  Turbin, Dmitry A ^a,b,c   Leung, Samuel ^a,b   Cheang, Maggie C U ^a,b   Kennecke, Hagen A ^a,b   Montgomery, Kelli D ^d   McKinney, Steven ^c   Treaba, Diana O ^f   Boyd, Niki ^c   Goldstein, Lynn C ^f   Badve, Sunil ^e   Gown, Allen M ^f   Van De Rijn, Matt ^d   Nielsen, Torsten O ^a,b   Gilks, C Blake ^a,b   Huntsman, David G ^a,b,c  

^a VANCOUVER COASTAL HEALTH RESEARCH INSTITUTE   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c Centre for Translational and Applied Genomics   (Canada)

^d STANFORD UNIVERSITY MEDICAL CENTER   (United States)

^e INDIANA UNIVERSITY   (United States)

^f PHENOPATH LABORATORIES   (United States)

Author keywords

Automated scoring; Breast cancer; Estrogen receptor; Immunohistochemistry; Pathology; Tissue microarray

Indexed keywords

ANTINEOPLASTIC AGENT; ESTROGEN RECEPTOR; TAMOXIFEN;

ADULT; ARTICLE; BREAST CARCINOMA; CANCER COMBINATION CHEMOTHERAPY; CANCER SURGERY; CANCER SURVIVAL; CONTROLLED STUDY; FEMALE; FOLLOW UP; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; INVASIVE CARCINOMA; LABORATORY AUTOMATION; MAJOR CLINICAL STUDY; MONOTHERAPY; PATHOLOGIST; PRIORITY JOURNAL; PROGNOSIS; PROTEIN EXPRESSION; QUANTITATIVE ANALYSIS; SCORING SYSTEM; TISSUE MICROARRAY; TREATMENT OUTCOME;

BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMMUNOHISTOCHEMISTRY; KAPLAN-MEIERS ESTIMATE; RECEPTORS, ESTROGEN; REPRODUCIBILITY OF RESULTS; SELECTIVE ESTROGEN RECEPTOR MODULATORS; TAMOXIFEN; TISSUE ARRAY ANALYSIS;

EID: 46949097718     PISSN: 01676806     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10549-007-9736-z     Document Type: Article

References (39)

1. Duffy MJ (2006) Estrogen receptors: role in breast cancer. Crit Rev Clin Lab Sci 43:325-347
2. Cheang MC, Treaba DO, Speers CH et al (2006) Immunohistochemical detection using the new rabbit monoclonal antibody SP1 of estrogen receptor in breast cancer is superior to mouse monoclonal antibody 1D5 in predicting survival. J Clin Oncol 24:5637-5644
3. Bolger N, Heffron C, Regan I et al (2006) Implementation and evaluation of a new automated interactive image analysis system. Acta Cytol 50:483-491
4. Camp RL, Dolled-Filhart M, Rimm DL (2004) X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res 10:7252-7259
5. Taylor CR, Levenson RM (2006) Quantification of immunohistochemistry- issues concerning methods, utility and semiquantitative assessment II. Histopathology 49:411-424
6. Walker RA (2006) Quantification of immunohistochemistry-issues concerning methods, utility and semiquantitative assessment I. Histopathology 49:406-410
7. BVD/FOGRA (1992) Manual for standardization of the offset printing process. Wiesbaden
8. Insight into images: principles and practices for segmentation, registration, and image analysis (2004). A.K. Peters Ltd., Wellesey, MA
9. Byrne A, Hilbert DR (2003) Color realism and color science. Behav Brain Sci 26:3-21; discussion 22-63
10. Gegenfurtner KR (2003) Cortical mechanisms of colour vision. Nat Rev Neurosci 4:563-572
11. McLelland D, Fuller LU (2005) Photoshop CS2 bible. Wiley Publishing Inc., Hoboken, NJ
12. Rinner O, Gegenfurtner KR (2000) Time course of chromatic adaptation for color appearance and discrimination. Vision Res 40:1813-1826
13. Wen C-H, Lee J-J (2000) Design and production of color calibration targets for digital input devices. In: Input/output and imaging technologies II:4080. Taipei, Taiwan, pp 148-158
14. Greene GL, Nolan C, Engler JP et al (1980) Monoclonal antibodies to human estrogen receptor. Proc Natl Acad Sci USA 77:5115-5119
15. King WJ, Greene GL (1984) Monoclonal antibodies localize oestrogen receptor in the nuclei of target cells. Nature 307:745-747
16. Underwood JC (1983) Oestrogen receptors in human breast cancer: review of histopathological correlations and critique of histochemical methods. Diagn Histopathol 6:1-22
17. Aziz DC, Barathur RB (1994) Quantitation and morphometric analysis of tumors by image analysis. J Cell Biochem Suppl 19:120-125
18. Esteban JM, Ahn C, Battifora H et al (1994) Quantitative immunohistochemical assay for hormonal receptors: technical aspects and biological significance. J Cell Biochem Suppl 19:138-145
19. Schultz DS, Katz RL, Patel S et al (1992) Comparison of visual and CAS-200 quantitation of immunocytochemical staining in breast carcinoma samples. Anal Quant Cytol Histol 14:35-40
20. Kononen J, Bubendorf L, Kallioniemi A et al (1998) Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nat Med 4:844-847
21. Makretsov N, Gilks CB, Coldman AJ et al (2003) Tissue microarray analysis of neuroendocrine differentiation and its prognostic significance in breast cancer. Hum Pathol 34:1001-1008
22. Turbin DA, Cheang MC, Bajdik CD et al (2006) MDM2 protein expression is a negative prognostic marker in breast carcinoma. Mod Pathol 19:69-74
23. Liu CL, Prapong W, Natkunam Y et al (2002) Software tools for high-throughput analysis and archiving of immunohistochemistry staining data obtained with tissue microarrays. Am J Pathol 161:1557-1565
24. Liu CL, Montgomery KD, Natkunam Y et al (2005) TMA-Combiner, a simple software tool to permit analysis of replicate cores on tissue microarrays. Mod Pathol 18:1641-1648
25. Ng TL, Gown AM, Barry TS et al (2005) Nuclear beta-catenin in mesenchymal tumors. Mod Pathol 18:68-74
26. de las Mulas JM, van Niel M, Millan Y et al (2000) Immunohistochemical analysis of estrogen receptors in feline mammary gland benign and malignant lesions: comparison with biochemical assay. Domest Anim Endocrinol 18:111-125
27. Magne N, Toillon RA, Castadot P et al (2006) Different clinical impact of estradiol receptor determination according to the analytical method: A study on 1940 breast cancer patients over a period of 16 consecutive years. Breast Cancer Res Treat 95:179-184
28. Costa SD, Lange S, Klinga K et al (2002) Factors influencing the prognostic role of oestrogen and progesterone receptor levels in breast cancer - results of the analysis of 670 patients with 11 years of follow-up. Eur J Cancer 38:1329-1334
29. Franklin WA, Bibbo M, Doria MI et al (1987) Quantitation of estrogen receptor content and Ki-67 staining in breast carcinoma by the microTICAS image analysis system. Anal Quant Cytol Histol 9:279-286
30. Gil J, Wu HS (2003) Applications of image analysis to anatomic pathology: realities and promises. Cancer Invest 21:950-959
31. Rojo MG, Garcia GB, Mateos CP et al (2006) Critical comparison of 31 commercially available digital slide systems in pathology. Int J Surg Pathol 14:285-305
32. Cregger M, Berger AJ, Rimm DL (2006) Immunohistochemistry and quantitative analysis of protein expression. Arch Pathol Lab Med 130:1026-1030
33. McCabe A, Dolled-Filhart M, Camp RL et al (2005) Automated quantitative analysis (AQUA) of in situ protein expression, antibody concentration, and prognosis. J Natl Cancer Inst 97:1808-1815
34. Rimm DL (2006) What brown cannot do for you. Nat Biotechnol 24:914-916
35. Harvey JM, Clark GM, Osborne CK et al (1999) Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. J Clin Oncol 17:1474-1481
36. Diaz LK, Sahin A, Sneige N (2004) Interobserver agreement for estrogen receptor immunohistochemical analysis in breast cancer: a comparison of manual and computer-assisted scoring methods. Ann Diagn Pathol 8:23-27
37. Hasegawa T, Yamamoto S, Matsuno Y (2002) Quantitative immunohistochemical evaluation of MIB-1 labeling index in adult soft-tissue sarcomas by computer-assisted image analysis. Pathol Int 52:433-437
38. Kirkegaard T, Edwards J, Tovey S et al (2006) Observer variation in immunohistochemical analysis of protein expression, time for a change? Histopathology 48:787-794
39. Lorinc E, Jakobsson B, Landberg G et al (2005) Ki67 and p53 immunohistochemistry reduces interobserver variation in assessment of Barrett's oesophagus. Histopathology 46:642-648