Estrogen and progesterone receptor testing in breast carcinoma: concordance of results between local and reference laboratories in Brazil

Wludarski, Sheila Cristina Lordelo; Lopes, Lisandro F.; Duarte, Ívison Xavier; Carvalho, Filomena Marino; Weiss, Lawrence M.; Bacchi, Carlos E.

doi:10.1590/s1516-31802011000400007

Cited by 9 publications

(9 citation statements)

References 30 publications

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“…HER2 testing on either gene level or protein level determines patient eligibility for treatment with trastuzumab in breast and in gastric cancer. [1][2][3][4][5][6][7][8][9][10] In immunohistochemistry, and to some degree as for in situ hybridization, different diagnoses for the same patient have been reported when patient tissues were tested at different laboratories [11][12][13][14][15] (inter-laboratory disconcordance). One issue is local differences in procedures for obtaining and preserving tissue before analysis.…”

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confidence: 99%

A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2

Jensen

Krusenstjerna-Hafstrøm

Lohse

et al. 2017

Modern Pathology

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In clinical routine pathology today, detection of protein in intact formalin-fixed, paraffin-embedded tissue is limited to immunohistochemistry, which is semi-quantitative. This study presents a new and reliable quantitative immunohistochemistry method, qIHC, based on a novel amplification system that enables quantification of protein directly in formalin-fixed, paraffin-embedded tissue by counting of dots. The qIHC technology can be combined with standard immunohistochemistry, and assessed using standard bright-field microscopy or image analysis. The objective was to study analytical performance of the qIHC method. qIHC was tested under requirements for an analytical quantitative test, and compared with ELISA and flow cytometry for quantitative protein measurements. Human epidermal growth factor receptor 2 (HER2) protein expression was measured in five different cell lines with HER2 expression from undetectable with immunohistochemistry to strong positive staining (IHC 3+). Repeatability, reproducibility, robustness, linearity, dynamic range, sensitivity, and quantification limits were evaluated. Reproducibility and robustness were assessed in a setup to resemble daily work in a laboratory using a commercial immunohistochemistry platform. In addition, qIHC was correlated to standard HER2 immunohistochemistry in 44 breast cancer specimens. For all evaluated parameters, qIHC performance was either comparable or better than the reference methods. Furthermore, qIHC has a lower limit of detection than both immunohistochemistry and the ELISA reference method, and demonstrated ability to measure HER2 accurately and precise within a large dynamic range. In conclusion, the results show that qIHC provides a sensitive, quantitative, accurate, and robust assay for measurement of protein expression in formalin-fixed, paraffin-embedded cell lines, and tissue.

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confidence: 99%

A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2

Jensen

Krusenstjerna-Hafstrøm

Lohse

et al. 2017

Modern Pathology

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“…24,25 A low concordance between local and reference laboratories has also been reported in Brazil, and the authors have argued that it may be related to inexperience with HER-2 scoring, a low-volume load of HER-2 assays, and technical issues related to IHC in local laboratories. 26 Given the impact of preanalytic variables IHC and FISH results, 27 and aiming at improving the accuracy of HER-2 testing, the ASCO/CAP guidelines include recommendations regarding type of fixative, time between sample collection and placement into fixative, and fixation duration. According to the 2007 guideline, time from tissue acquisition to fixation should be as short as possible, with samples for HER-2 testing being fixed in 10% neutral buffered formalin for a minimum of 6 and a maximum of 48 hours.…”

Section: Discussionmentioning

confidence: 99%

Assessment of HER-2 status in invasive breast cancer in Brazil

Arias

Gobbi

Ioshii

et al. 2017

Rev. Assoc. Med. Bras.

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Objective: To characterize the frequency of HER-2-positive breast cancer in Brazil. Method: In this prospective observational study, we first ascertained the HER-2 status of invasive breast cancer specimens by automated immunohistochemistry (IHC). For specimens classified as 2+ by IHC, we performed in situ hybridization (ISH). Results: From February, 2011 to December, 2012, 1,495 breast specimens were registered, and 1,310 samples collected at 24 centers were analyzed. Median patient age was 54 years, and the majority of samples were obtained from segmental (46.9%) or radical mastectomy (34.4%). The predominant histological type was invasive breast carcinoma of no special type (85%), 64.3% had tubule formation (grade 3), and estrogen/progesterone receptors (ER/PR) were positive in 77.4/67.8% of the specimens analyzed, respectively. Using IHC, we found a negative HER-2 status (0 or 1+) in 72.2% of specimens, and 3+ in 18.5%; the 9.3% scored as 2+ were further analyzed by ISH, of which 15.7% were positive (thus, 20.0% of samples were HER-2--positive by either method). We found no association between HER-2 scores and menopausal status or histological type. Tumors classified as 3+ came from younger patients, and had higher histological grade and less frequent expression of ER/PR. In the North region of Brazil, 34.7% of samples were 3+, with lower frequencies in the other four regions of the country. Conclusion: Our findings provide estimates for the frequency of HER-2 positivity in Brazil and raise the hypothesis that biological differences may underlie the different distribution of breast-cancer phenotypes among different Brazilian regions.

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“…It serves as the golden truth of cancer diagnosis. To address subjectivity in pathology examination [1,2], computational pathology exploits image analysis and machine learning for histological information understanding in tissue images. Owing to its time-efficiency, consistency, and objectivity, computational pathology merges as a promising approach to cancer diagnosis and prognosis.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, deep diagnostic models training with these data sets are prone to over-fitting and less generalizable to pathology practice. 1 One candidate to address the shortage of large database in deep learning is transfer learning. In transfer learning, a "datahungary" net is first trained on a very large database, e.g.…”

Section: Introductionmentioning

confidence: 99%

How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?

Li,

Plataniotis

2020

Preprint

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Deep learning has achieved a great success in natural image classification. To overcome data-scarcity in computational pathology, recent studies exploit transfer learning to reuse knowledge gained from natural images in pathology image analysis, aiming to build effective pathology image diagnosis models. Since transferability of knowledge heavily depends on the similarity of the original and target tasks, significant differences in image content and statistics between pathology images and natural images raise the questions: how much knowledge is transferable? Is the transferred information equally contributed by pre-trained layers? To answer these questions, this paper proposes a framework to quantify knowledge gain by a particular layer, conducts an empirical investigation in pathology image centered transfer learning, and reports some interesting observations. Particularly, compared to the performance baseline obtained by random-weight model, though transferability of off-the-shelf representations from deep layers heavily depend on specific pathology image sets, the general representation generated by early layers does convey transferred knowledge in various image classification applications. The observation in this study encourages further investigation of specific metric and tools to quantify effectiveness and feasibility of transfer learning in future.

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Estrogen and progesterone receptor testing in breast carcinoma: concordance of results between local and reference laboratories in Brazil

Cited by 9 publications

References 30 publications

A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2

A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2

Assessment of HER-2 status in invasive breast cancer in Brazil

How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?

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