Semi-automated analysis of HER2 immunohistochemistry in invasive breast carcinoma using whole slide images: utility for interpretation in clinical practice

( ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is...

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Published inPathology oncology research Vol. 30; p. 1611826
Main Authors Liao, Chiu-Hsiang Connie, Bakoglu, Nilay, Cesmecioglu, Emine, Hanna, Matthew, Pareja, Fresia, Wen, Hannah Y, D'Alfonso, Timothy M, Brogi, Edi, Yagi, Yukako, Ross, Dara S
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LanguageEnglish
Published Switzerland Frontiers Media S.A 29.08.2024
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Abstract ( ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is key for appropriate classification and treatment of IBC. HER2-targeted therapies, including anti-HER2 monoclonal antibodies and antibody drug conjugates (ADC), have revolutionized the treatment of HER2-positive IBC. Recently, ADC have also been approved for treatment of HER2-low (IHC 1+, IHC 2+/ISH-) advanced breast carcinoma, making a distinction between IHC 0 and 1+ crucial. In this focused study, 32 IBC with HER2 IHC scores from 0 to 3+ and HER2 FISH results formed a calibration dataset, and 77 IBC with HER2 IHC score 2+ and paired FISH results (27 amplified, 50 non-amplified) formed a validation dataset. H&E and HER2 IHC whole slide images (WSI) were scanned. Regions of interest were manually annotated and IHC scores generated by the software QuantCenter (MembraneQuant application) by 3DHISTECH Ltd. (Budapest, Hungary) and compared to the microscopic IHC score. H-scores [(3×%IHC3+) +(2×%IHC2+) +(1×%IHC1+)] were calculated for semi-automated (MembraneQuant) analysis. Concordance between microscopic IHC scoring and 3DHISTECH MembraneQuant semi-automated scoring in the calibration dataset showed a Kappa value of 0.77 (standard error 0.09). Microscopic IHC and MembraneQuant image analysis for the detection of amplification yielded a sensitivity of 100% for both and a specificity of 56% and 61%, respectively. In the validation set of IHC 2+ cases, only 13 of 77 cases (17%) had discordant results between microscopic and MembraneQuant images, and various artifacts limiting the interpretation of HER2 IHC, including cytoplasmic/granular staining and crush artifact were noted. Semi-automated analysis using WSI and microscopic evaluation yielded similar HER2 IHC scores, demonstrating the potential utility of this tool for interpretation in clinical practice and subsequent accurate treatment. In this study, it was shown that semi-automatic HER2 IHC interpretation provides an objective approach to a test known to be quite subjective.
AbstractList ( ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is key for appropriate classification and treatment of IBC. HER2-targeted therapies, including anti-HER2 monoclonal antibodies and antibody drug conjugates (ADC), have revolutionized the treatment of HER2-positive IBC. Recently, ADC have also been approved for treatment of HER2-low (IHC 1+, IHC 2+/ISH-) advanced breast carcinoma, making a distinction between IHC 0 and 1+ crucial. In this focused study, 32 IBC with HER2 IHC scores from 0 to 3+ and HER2 FISH results formed a calibration dataset, and 77 IBC with HER2 IHC score 2+ and paired FISH results (27 amplified, 50 non-amplified) formed a validation dataset. H&E and HER2 IHC whole slide images (WSI) were scanned. Regions of interest were manually annotated and IHC scores generated by the software QuantCenter (MembraneQuant application) by 3DHISTECH Ltd. (Budapest, Hungary) and compared to the microscopic IHC score. H-scores [(3×%IHC3+) +(2×%IHC2+) +(1×%IHC1+)] were calculated for semi-automated (MembraneQuant) analysis. Concordance between microscopic IHC scoring and 3DHISTECH MembraneQuant semi-automated scoring in the calibration dataset showed a Kappa value of 0.77 (standard error 0.09). Microscopic IHC and MembraneQuant image analysis for the detection of amplification yielded a sensitivity of 100% for both and a specificity of 56% and 61%, respectively. In the validation set of IHC 2+ cases, only 13 of 77 cases (17%) had discordant results between microscopic and MembraneQuant images, and various artifacts limiting the interpretation of HER2 IHC, including cytoplasmic/granular staining and crush artifact were noted. Semi-automated analysis using WSI and microscopic evaluation yielded similar HER2 IHC scores, demonstrating the potential utility of this tool for interpretation in clinical practice and subsequent accurate treatment. In this study, it was shown that semi-automatic HER2 IHC interpretation provides an objective approach to a test known to be quite subjective.
Human epidermal growth factor receptor 2 ( HER2 ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or in situ hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is key for appropriate classification and treatment of IBC. HER2-targeted therapies, including anti-HER2 monoclonal antibodies and antibody drug conjugates (ADC), have revolutionized the treatment of HER2-positive IBC. Recently, ADC have also been approved for treatment of HER2-low (IHC 1+, IHC 2+/ISH-) advanced breast carcinoma, making a distinction between IHC 0 and 1+ crucial. In this focused study, 32 IBC with HER2 IHC scores from 0 to 3+ and HER2 FISH results formed a calibration dataset, and 77 IBC with HER2 IHC score 2+ and paired FISH results (27 amplified, 50 non-amplified) formed a validation dataset. H&E and HER2 IHC whole slide images (WSI) were scanned. Regions of interest were manually annotated and IHC scores generated by the software QuantCenter (MembraneQuant application) by 3DHISTECH Ltd. (Budapest, Hungary) and compared to the microscopic IHC score. H-scores [(3×%IHC3+) +(2×%IHC2+) +(1×%IHC1+)] were calculated for semi-automated (MembraneQuant) analysis. Concordance between microscopic IHC scoring and 3DHISTECH MembraneQuant semi-automated scoring in the calibration dataset showed a Kappa value of 0.77 (standard error 0.09). Microscopic IHC and MembraneQuant image analysis for the detection of HER2 amplification yielded a sensitivity of 100% for both and a specificity of 56% and 61%, respectively. In the validation set of IHC 2+ cases, only 13 of 77 cases (17%) had discordant results between microscopic and MembraneQuant images, and various artifacts limiting the interpretation of HER2 IHC, including cytoplasmic/granular staining and crush artifact were noted. Semi-automated analysis using WSI and microscopic evaluation yielded similar HER2 IHC scores, demonstrating the potential utility of this tool for interpretation in clinical practice and subsequent accurate treatment. In this study, it was shown that semi-automatic HER2 IHC interpretation provides an objective approach to a test known to be quite subjective.
Human epidermal growth factor receptor 2 (HER2) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or in situ hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is key for appropriate classification and treatment of IBC. HER2-targeted therapies, including anti-HER2 monoclonal antibodies and antibody drug conjugates (ADC), have revolutionized the treatment of HER2-positive IBC. Recently, ADC have also been approved for treatment of HER2-low (IHC 1+, IHC 2+/ISH-) advanced breast carcinoma, making a distinction between IHC 0 and 1+ crucial. In this focused study, 32 IBC with HER2 IHC scores from 0 to 3+ and HER2 FISH results formed a calibration dataset, and 77 IBC with HER2 IHC score 2+ and paired FISH results (27 amplified, 50 non-amplified) formed a validation dataset. H&E and HER2 IHC whole slide images (WSI) were scanned. Regions of interest were manually annotated and IHC scores generated by the software QuantCenter (MembraneQuant application) by 3DHISTECH Ltd. (Budapest, Hungary) and compared to the microscopic IHC score. H-scores [(3×%IHC3+) +(2×%IHC2+) +(1×%IHC1+)] were calculated for semi-automated (MembraneQuant) analysis. Concordance between microscopic IHC scoring and 3DHISTECH MembraneQuant semi-automated scoring in the calibration dataset showed a Kappa value of 0.77 (standard error 0.09). Microscopic IHC and MembraneQuant image analysis for the detection of HER2 amplification yielded a sensitivity of 100% for both and a specificity of 56% and 61%, respectively. In the validation set of IHC 2+ cases, only 13 of 77 cases (17%) had discordant results between microscopic and MembraneQuant images, and various artifacts limiting the interpretation of HER2 IHC, including cytoplasmic/granular staining and crush artifact were noted. Semi-automated analysis using WSI and microscopic evaluation yielded similar HER2 IHC scores, demonstrating the potential utility of this tool for interpretation in clinical practice and subsequent accurate treatment. In this study, it was shown that semi-automatic HER2 IHC interpretation provides an objective approach to a test known to be quite subjective.Human epidermal growth factor receptor 2 (HER2) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or in situ hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is key for appropriate classification and treatment of IBC. HER2-targeted therapies, including anti-HER2 monoclonal antibodies and antibody drug conjugates (ADC), have revolutionized the treatment of HER2-positive IBC. Recently, ADC have also been approved for treatment of HER2-low (IHC 1+, IHC 2+/ISH-) advanced breast carcinoma, making a distinction between IHC 0 and 1+ crucial. In this focused study, 32 IBC with HER2 IHC scores from 0 to 3+ and HER2 FISH results formed a calibration dataset, and 77 IBC with HER2 IHC score 2+ and paired FISH results (27 amplified, 50 non-amplified) formed a validation dataset. H&E and HER2 IHC whole slide images (WSI) were scanned. Regions of interest were manually annotated and IHC scores generated by the software QuantCenter (MembraneQuant application) by 3DHISTECH Ltd. (Budapest, Hungary) and compared to the microscopic IHC score. H-scores [(3×%IHC3+) +(2×%IHC2+) +(1×%IHC1+)] were calculated for semi-automated (MembraneQuant) analysis. Concordance between microscopic IHC scoring and 3DHISTECH MembraneQuant semi-automated scoring in the calibration dataset showed a Kappa value of 0.77 (standard error 0.09). Microscopic IHC and MembraneQuant image analysis for the detection of HER2 amplification yielded a sensitivity of 100% for both and a specificity of 56% and 61%, respectively. In the validation set of IHC 2+ cases, only 13 of 77 cases (17%) had discordant results between microscopic and MembraneQuant images, and various artifacts limiting the interpretation of HER2 IHC, including cytoplasmic/granular staining and crush artifact were noted. Semi-automated analysis using WSI and microscopic evaluation yielded similar HER2 IHC scores, demonstrating the potential utility of this tool for interpretation in clinical practice and subsequent accurate treatment. In this study, it was shown that semi-automatic HER2 IHC interpretation provides an objective approach to a test known to be quite subjective.
Human epidermal growth factor receptor 2 ( HER2 ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP recommended tests for HER2 assessment include immunohistochemistry (IHC) and/or in situ hybridization (ISH). Accurate HER2 IHC scoring (0, 1+, 2+, 3+) is key for appropriate classification and treatment of IBC. HER2-targeted therapies, including anti-HER2 monoclonal antibodies and antibody drug conjugates (ADC), have revolutionized the treatment of HER2-positive IBC. Recently, ADC have also been approved for treatment of HER2-low (IHC 1+, IHC 2+/ISH-) advanced breast carcinoma, making a distinction between IHC 0 and 1+ crucial. In this focused study, 32 IBC with HER2 IHC scores from 0 to 3+ and HER2 FISH results formed a calibration dataset, and 77 IBC with HER2 IHC score 2+ and paired FISH results (27 amplified, 50 non-amplified) formed a validation dataset. H&E and HER2 IHC whole slide images (WSI) were scanned. Regions of interest were manually annotated and IHC scores generated by the software QuantCenter (MembraneQuant application) by 3DHISTECH Ltd. (Budapest, Hungary) and compared to the microscopic IHC score. H-scores [(3×%IHC3+) +(2×%IHC2+) +(1×%IHC1+)] were calculated for semi-automated (MembraneQuant) analysis. Concordance between microscopic IHC scoring and 3DHISTECH MembraneQuant semi-automated scoring in the calibration dataset showed a Kappa value of 0.77 (standard error 0.09). Microscopic IHC and MembraneQuant image analysis for the detection of HER2 amplification yielded a sensitivity of 100% for both and a specificity of 56% and 61%, respectively. In the validation set of IHC 2+ cases, only 13 of 77 cases (17%) had discordant results between microscopic and MembraneQuant images, and various artifacts limiting the interpretation of HER2 IHC, including cytoplasmic/granular staining and crush artifact were noted. Semi-automated analysis using WSI and microscopic evaluation yielded similar HER2 IHC scores, demonstrating the potential utility of this tool for interpretation in clinical practice and subsequent accurate treatment. In this study, it was shown that semi-automatic HER2 IHC interpretation provides an objective approach to a test known to be quite subjective.
Author Brogi, Edi
Hanna, Matthew
Yagi, Yukako
Bakoglu, Nilay
Pareja, Fresia
Liao, Chiu-Hsiang Connie
Wen, Hannah Y
D'Alfonso, Timothy M
Ross, Dara S
Cesmecioglu, Emine
AuthorAffiliation Department of Pathology and Laboratory Medicine , Memorial Sloan Kettering Cancer Center , New York , NY , United States
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Cites_doi 10.1093/ajcp/aqab117
10.1016/j.prp.2024.155472
10.1002/cncy.22124
10.1093/annonc/mdt364
10.1017/cts.2020.531
10.1186/s13058-024-01784-y
10.34133/bmef.0048
10.1056/NEJMoa2203690
10.5858/arpa.2019-0904-SA
10.4103/2153-3539.192814
10.1001/jamaoncol.2021.7239
10.1111/j.1440-1827.2012.02847.x
10.1200/JCO.19.02318
10.1007/s10549-015-3475-3
10.1200/JCO.22.02864
10.1200/JOP.18.00206
10.1186/s42649-023-00091-8
10.1111/j.1365-2559.2009.03419.x
10.1097/PAP.0000000000000273
10.1200/JCO.19.02488
10.1097/PAI.0b013e31802ee998
10.1016/j.jpi.2022.100148
10.3390/diagnostics13010168
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Copyright Copyright © 2024 Liao, Bakoglu, Cesmecioglu, Hanna, Pareja, Wen, D’Alfonso, Brogi, Yagi and Ross.
Copyright © 2024 Liao, Bakoglu, Cesmecioglu, Hanna, Pareja, Wen, D’Alfonso, Brogi, Yagi and Ross. 2024 Liao, Bakoglu, Cesmecioglu, Hanna, Pareja, Wen, D’Alfonso, Brogi, Yagi and Ross
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Keywords whole slide imaging
immunohistochemistry
semi-automated analysis
HER2
breast carcinoma
Language English
License Copyright © 2024 Liao, Bakoglu, Cesmecioglu, Hanna, Pareja, Wen, D’Alfonso, Brogi, Yagi and Ross.
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References Kondo (B22) 2012; 62
Manuel (B12) 2022; 13
Modi (B3) 2020; 38
Zhang (B7) 2022; 157
Modi (B4) 2022; 387
Ohnishi (B21) 2023; 53
Fernandez (B6) 2022; 8
Smith (B11) 2021; 5
Palm (B13) 2023; 13
Jung (B16) 2024; 26
Tarantino (B5) 2020; 38
Selcuk (B20) 2024; 5
Gokhale (B17) 2007; 15
Allison (B10) 2020; 144
Gandomkar (B18) 2016; 7
Wolff (B1) 2023; 41
Hechtman (B2) 2019; 127
Wolff (B9) 2018; 14
Holten-Rossing (B15) 2015; 152
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Guarneri (B14) 2013; 24
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References_xml – volume: 157
  start-page: 328
  year: 2022
  ident: B7
  article-title: HER2-low breast cancers: new opportunities and challenges
  publication-title: Am J Clin Pathol
  doi: 10.1093/ajcp/aqab117
  contributor:
    fullname: Zhang
– volume: 16
  start-page: 155472
  year: 2024
  ident: B8
  article-title: Artificial intelligence for assisted HER2 immunohistochemistry evaluation of breast cancer: a systematic review and meta-analysis
  publication-title: Pathology-Research Pract
  doi: 10.1016/j.prp.2024.155472
  contributor:
    fullname: Wu
– volume: 127
  start-page: 428
  year: 2019
  ident: B2
  article-title: The past, present, and future of HER2 (ERBB2) in cancer: approaches to molecular testing and an evolving role in targeted therapy
  publication-title: Cancer Cytopathology
  doi: 10.1002/cncy.22124
  contributor:
    fullname: Hechtman
– volume: 24
  start-page: 2990
  year: 2013
  ident: B14
  article-title: Loss of HER2 positivity and prognosis after neoadjuvant therapy in HER2-positive breast cancer patients
  publication-title: Ann Oncol
  doi: 10.1093/annonc/mdt364
  contributor:
    fullname: Guarneri
– volume: 5
  start-page: e38
  year: 2021
  ident: B11
  article-title: Developing image analysis pipelines of whole-slide images: pre-and post-processing
  publication-title: J Clin Translational Sci
  doi: 10.1017/cts.2020.531
  contributor:
    fullname: Smith
– volume: 26
  start-page: 31
  year: 2024
  ident: B16
  article-title: Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases
  publication-title: Breast Cancer Res
  doi: 10.1186/s13058-024-01784-y
  contributor:
    fullname: Jung
– volume: 5
  start-page: 0048
  year: 2024
  ident: B20
  article-title: Automated HER2 scoring in breast cancer images using deep learning and pyramid sampling
  publication-title: BMEF (BME Frontiers)
  doi: 10.34133/bmef.0048
  contributor:
    fullname: Selcuk
– volume: 387
  start-page: 9
  year: 2022
  ident: B4
  article-title: Trastuzumab deruxtecan in previously treated HER2-low advanced breast cancer
  publication-title: New Engl J Med
  doi: 10.1056/NEJMoa2203690
  contributor:
    fullname: Modi
– volume: 144
  start-page: 545
  year: 2020
  ident: B10
  article-title: Estrogen and progesterone receptor testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists guideline update
  publication-title: Arch Pathol and Lab Med
  doi: 10.5858/arpa.2019-0904-SA
  contributor:
    fullname: Allison
– volume: 7
  start-page: 43
  year: 2016
  ident: B18
  article-title: Computer-based image analysis in breast pathology
  publication-title: J Pathol Inform
  doi: 10.4103/2153-3539.192814
  contributor:
    fullname: Gandomkar
– volume: 8
  start-page: 1
  year: 2022
  ident: B6
  article-title: Examination of low ERBB2 protein expression in breast cancer tissue
  publication-title: JAMA Oncol
  doi: 10.1001/jamaoncol.2021.7239
  contributor:
    fullname: Fernandez
– volume: 62
  start-page: 592
  year: 2012
  ident: B22
  article-title: Evaluation of immunohistochemical staining using whole‐slide imaging for HER2 scoring of breast cancer in comparison with real glass slides
  publication-title: Pathol Int
  doi: 10.1111/j.1440-1827.2012.02847.x
  contributor:
    fullname: Kondo
– volume: 38
  start-page: 1887
  year: 2020
  ident: B3
  article-title: Antitumor activity and safety of trastuzumab deruxtecan in patients with HER2-low–expressing advanced breast cancer: results from a phase Ib study
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.19.02318
  contributor:
    fullname: Modi
– volume: 152
  start-page: 367
  year: 2015
  ident: B15
  article-title: Optimizing HER2 assessment in breast cancer: application of automated image analysis
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-015-3475-3
  contributor:
    fullname: Holten-Rossing
– volume: 41
  start-page: 3867
  year: 2023
  ident: B1
  article-title: Human epidermal growth factor receptor 2 testing in breast cancer: ASCO–College of American Pathologists Guideline Update
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.22.02864
  contributor:
    fullname: Wolff
– volume: 14
  start-page: 437
  year: 2018
  ident: B9
  article-title: HER2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline focused update summary
  publication-title: J Oncol Pract
  doi: 10.1200/JOP.18.00206
  contributor:
    fullname: Wolff
– volume: 53
  start-page: 8
  year: 2023
  ident: B21
  article-title: Standardizing HER2 immunohistochemistry assessment: calibration of color and intensity variation in whole slide imaging caused by staining and scanning
  publication-title: Appl Microsc
  doi: 10.1186/s42649-023-00091-8
  contributor:
    fullname: Ohnishi
– volume: 55
  start-page: 587
  year: 2009
  ident: B19
  article-title: Automated image analysis for high‐throughput quantitative detection of ER and PR expression levels in large‐scale clinical studies: the TEAM Trial Experience
  publication-title: Histopathology
  doi: 10.1111/j.1365-2559.2009.03419.x
  contributor:
    fullname: Faratian
– volume: 27
  start-page: 251
  year: 2020
  ident: B23
  article-title: Whole slide imaging: technology and applications
  publication-title: Adv Anat Pathol
  doi: 10.1097/PAP.0000000000000273
  contributor:
    fullname: Hanna
– volume: 38
  start-page: 1951
  year: 2020
  ident: B5
  article-title: HER2-low breast cancer: pathological and clinical landscape
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.19.02488
  contributor:
    fullname: Tarantino
– volume: 15
  start-page: 451
  year: 2007
  ident: B17
  article-title: Assessment of two automated imaging systems in evaluating estrogen receptor status in breast carcinoma
  publication-title: Appl Immunohistochem and Mol Morphol
  doi: 10.1097/PAI.0b013e31802ee998
  contributor:
    fullname: Gokhale
– volume: 13
  start-page: 100148
  year: 2022
  ident: B12
  article-title: Impact of color augmentation and tissue type in deep learning for hematoxylin and eosin image super resolution
  publication-title: J Pathol Inform
  doi: 10.1016/j.jpi.2022.100148
  contributor:
    fullname: Manuel
– volume: 13
  start-page: 168
  year: 2023
  ident: B13
  article-title: Determining HER2 status by artificial intelligence: an investigation of primary, metastatic, and HER2 low breast tumors
  publication-title: Diagnostics
  doi: 10.3390/diagnostics13010168
  contributor:
    fullname: Palm
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Snippet ( ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in invasive breast carcinoma (IBC). ASCO/CAP...
Human epidermal growth factor receptor 2 ( HER2 ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in...
Human epidermal growth factor receptor 2 (HER2) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in...
Human epidermal growth factor receptor 2 ( HER2 ) gene amplification and subsequent protein overexpression is a strong prognostic and predictive biomarker in...
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StartPage 1611826
SubjectTerms Biomarkers, Tumor - analysis
Biomarkers, Tumor - metabolism
breast carcinoma
Breast Neoplasms - metabolism
Breast Neoplasms - pathology
Carcinoma, Ductal, Breast - metabolism
Carcinoma, Ductal, Breast - pathology
Female
HER2
Humans
Image Processing, Computer-Assisted - methods
immunohistochemistry
Immunohistochemistry - methods
In Situ Hybridization, Fluorescence - methods
Pathology and Oncology Archive
Prognosis
Receptor, ErbB-2 - metabolism
semi-automated analysis
whole slide imaging
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Title Semi-automated analysis of HER2 immunohistochemistry in invasive breast carcinoma using whole slide images: utility for interpretation in clinical practice
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