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3 "Chungyeul Kim"
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A multicenter study of interobserver variability in pathologic diagnosis of papillary breast lesions on core needle biopsy with WHO classification
Hye Ju Kang, Sun Young Kwon, Ahrong Kim, Woo Gyeong Kim, Eun Kyung Kim, Ae Ree Kim, Chungyeul Kim, Soo Kee Min, So Young Park, Sun Hee Sung, Hye Kyoung Yoon, Ahwon Lee, Ji Shin Lee, Hyang Im Lee, Ho Chang Lee, Sung Chul Lim, Sun Young Jun, Min Jung Jung, Chang Won Jung, Soo Youn Cho, Eun Yoon Cho, Hye Jeong Choi, So Yeon Park, Jee Yeon Kim, In Ae Park, Youngmee Kwon
J Pathol Transl Med. 2021;55(6):380-387.   Published online October 6, 2021
DOI: https://doi.org/10.4132/jptm.2021.07.29
  • 2,699 View
  • 162 Download
  • 1 Citations
AbstractAbstract PDFSupplementary Material
Background
Papillary breast lesions (PBLs) comprise diverse entities from benign and atypical lesions to malignant tumors. Although PBLs are characterized by a papillary growth pattern, it is challenging to achieve high diagnostic accuracy and reproducibility. Thus, we investigated the diagnostic reproducibility of PBLs in core needle biopsy (CNB) specimens with World Health Organization (WHO) classification.
Methods
Diagnostic reproducibility was assessed using interobserver variability (kappa value, κ) and agreement rate in the pathologic diagnosis of 60 PBL cases on CNB among 20 breast pathologists affiliated with 20 medical institutions in Korea. This analysis was performed using hematoxylin and eosin (H&E) staining and immunohistochemical (IHC) staining for cytokeratin 5 (CK5) and p63. The pathologic diagnosis of PBLs was based on WHO classification, which was used to establish simple classifications (4-tier, 3-tier, and 2-tier).
Results
On WHO classification, H&E staining exhibited ‘fair agreement’ (κ = 0.21) with a 47.0% agreement rate. Simple classifications presented improvement in interobserver variability and agreement rate. IHC staining increased the kappa value and agreement rate in all the classifications. Despite IHC staining, the encapsulated/solid papillary carcinoma (EPC/SPC) subgroup (κ = 0.16) exhibited lower agreement compared to the non-EPC/SPC subgroup (κ = 0.35) with WHO classification, which was similar to the results of any other classification systems.
Conclusions
Although the use of IHC staining for CK5 and p63 increased the diagnostic agreement of PBLs in CNB specimens, WHO classification exhibited a higher discordance rate compared to any other classifications. Therefore, this result warrants further intensive consensus studies to improve the diagnostic reproducibility of PBLs with WHO classification.

Citations

Citations to this article as recorded by  
  • High-risk and selected benign breast lesions diagnosed on core needle biopsy: Evidence for and against immediate surgical excision
    Aparna Harbhajanka, Hannah L. Gilmore, Benjamin C. Calhoun
    Modern Pathology.2022; 35(11): 1500.     CrossRef
Automated immunohistochemical assessment ability to evaluate estrogen and progesterone receptor status compared with quantitative reverse transcription-polymerase chain reaction in breast carcinoma patients
Taesung Jeon, Aeree Kim, Chungyeul Kim
J Pathol Transl Med. 2021;55(1):33-42.   Published online December 3, 2020
DOI: https://doi.org/10.4132/jptm.2020.09.29
  • 4,089 View
  • 130 Download
  • 3 Citations
AbstractAbstract PDF
Background
This study aimed to investigate the capability of an automated immunohistochemical (IHC) evaluation of hormonal receptor status in breast cancer patients compared to a well-validated quantitative reverse transcription–polymerase chain reaction (RT-qPCR) method.
Methods
This study included 93 invasive breast carcinoma cases that had both standard IHC assay and Oncotype Dx assay results. The same paraffin blocks on which Oncotype Dx assay had been performed were selected. Estrogen receptor (ER) and progesterone receptor (PR) receptor status were evaluated through IHC stains using SP1 monoclonal antibody for ER, and 1E2 monoclonal antibody for PR. All ER and PR immunostained slides were scanned, and invasive tumor areas were marked. Using the QuantCenter image analyzer provided by 3DHISTECH, IHC staining of hormone receptors was measured and converted to histochemical scores (H scores). Pearson correlation coefficients were calculated between Oncotype Dx hormone receptor scores and H scores, and between Oncotype Dx scores and Allred scores.
Results
H scores measured by an automated imaging system showed high concordance with RT-qPCR scores. ER concordance was 98.9% (92/93), and PR concordance was 91.4% (85/93). The correlation magnitude between automated H scores and RT-qPCR scores was high and comparable to those of Allred scores (for ER, 0.51 vs. 0.37 [p=.121], for PR, 0.70 vs. 0.72 [p=.39]).
Conclusions
Automated H scores showed a high concordance with quantitative mRNA expression levels measured by RT-qPCR.

Citations

Citations to this article as recorded by  
  • Marker assessments in ER‐ positive breast cancers: old markers, new applications?
    Joshua J X Li, Gary M Tse
    Histopathology.2022;[Epub]     CrossRef
  • The Story of the Magee Equations: The Ultimate in Applied Immunohistochemistry
    Rohit Bhargava, David J. Dabbs
    Applied Immunohistochemistry & Molecular Morphology.2022;[Epub]     CrossRef
  • Dose-Dependent Relationship between Protection of Thioacetamide-Induced Acute Liver Injury and Hyperammonemia and Concentration of Lactobacillus salivarius Li01 in Mice
    Pengcheng Lou, Yangfan Shen, Aoxiang Zhuge, Longxian Lv, Xueling Zhu, Yin Yuan, Liya Yang, Kaicen Wang, Bo Li, Lanjuan Li, Joanna B. Goldberg
    Microbiology Spectrum.2021;[Epub]     CrossRef
Detection of Human Papillomavirus in Korean Breast Cancer Patients by Real-Time Polymerase Chain Reaction and Meta-Analysis of Human Papillomavirus and Breast Cancer
Jinhyuk Choi, Chungyeul Kim, Hye Seung Lee, Yoo Jin Choi, Ha Yeon Kim, Jinhwan Lee, Hyeyoon Chang, Aeree Kim
J Pathol Transl Med. 2016;50(6):442-450.   Published online October 10, 2016
DOI: https://doi.org/10.4132/jptm.2016.07.08
  • 10,502 View
  • 211 Download
  • 14 Citations
AbstractAbstract PDF
Background
Human papillomavirus (HPV) is a well-established oncogenic virus of cervical, anogenital, and oropharyngeal cancer. Various subtypes of HPV have been detected in 0% to 60% of breast cancers. The roles of HPV in the carcinogenesis of breast cancer remain controversial. This study was performed to determine the prevalence of HPV-positive breast cancer in Korean patients and to evaluate the possibility of carcinogenic effect of HPV on breast.
Methods
Meta-analysis was performed in 22 case-control studies for HPV infection in breast cancer. A total of 123 breast cancers, nine intraductal papillomas and 13 nipple tissues of patients with proven cervical HPV infection were tested by real-time polymerase chain reaction to detect 28 subtypes of HPV. Breast cancers were composed of 106 formalin-fixed and paraffin embedded (FFPE) breast cancer samples and 17 touch imprint cytology samples of breast cancers.
Results
The overall odds ratio between breast cancer and HPV infection was 5.43 (95% confidence interval, 3.24 to 9.12) with I2 = 34.5% in meta-analysis of published studies with case-control setting and it was statistically significant. HPV was detected in 22 cases of breast cancers (17.9%) and two cases of intaductal papillomas (22.2%). However, these cases had weak positivity.
Conclusions
These results failed to serve as significant evidence to support the relationship between HPV and breast cancer. Further study with larger epidemiologic population is merited to determine the relationship between HPV and breast cancer.

Citations

Citations to this article as recorded by  
  • Bacterial-Viral Interactions in Human Orodigestive and Female Genital Tract Cancers: A Summary of Epidemiologic and Laboratory Evidence
    Ikuko Kato, Jilei Zhang, Jun Sun
    Cancers.2022; 14(2): 425.     CrossRef
  • Breast cancer association with oncogenic papillomaviruses: papillomaviral DNA detection in breast cancer cells
    G. M. Volgareva
    Advances in Molecular Oncology.2022; 9(2): 10.     CrossRef
  • Presence of Human Papillomavirus DNA in Malignant Neoplasia and Non-Malignant Breast Disease
    Erika Maldonado-Rodríguez, Marisa Hernández-Barrales, Adrián Reyes-López, Susana Godina-González, Perla I. Gallegos-Flores, Edgar L. Esparza-Ibarra, Irma E. González-Curiel, Jesús Aguayo-Rojas, Adrián López-Saucedo, Gretel Mendoza-Almanza, Jorge L. Ayala-
    Current Issues in Molecular Biology.2022; 44(8): 3648.     CrossRef
  • Risk Role of Breast Cancer in Association with Human Papilloma Virus among Female Population in Taiwan: A Nationwide Population-Based Cohort Study
    Chia-Hsin Liu, Chi-You Liao, Ming-Hsin Yeh, James Cheng-Chung Wei
    Healthcare.2022; 10(11): 2235.     CrossRef
  • Assessment of Human Papillomavirus Infection and Risk Factors in Egyptian Women With Breast Cancer
    Nabila El-Sheikh, Nahla O Mousa, Amany M Tawfeik, Alaa M Saleh, Iman Elshikh, Mohamed Deyab, Faten Ragheb, Manar M Moneer, Ahmed Kawashti, Ahmed Osman, Mohamed Elrefaei
    Breast Cancer: Basic and Clinical Research.2021; 15: 117822342199627.     CrossRef
  • Human Papillomavirus (HPV) Detection by Chromogenic In Situ Hybridization (CISH) and p16 Immunohistochemistry (IHC) in Breast Intraductal Papilloma and Breast Carcinoma
    Hua Guo, Juan P. Idrovo, Jin Cao, Sudarshana Roychoudhury, Pooja Navale, Louis J. Auguste, Tawfiqul Bhuiya, Silvat Sheikh-Fayyaz
    Clinical Breast Cancer.2021; 21(6): e638.     CrossRef
  • Human Papillomavirus in Breast Carcinogenesis: A Passenger, a Cofactor, or a Causal Agent?
    Rancés Blanco, Diego Carrillo-Beltrán, Juan P. Muñoz, Alejandro H. Corvalán, Gloria M. Calaf, Francisco Aguayo
    Biology.2021; 10(8): 804.     CrossRef
  • Systematic review and meta-analysis of the papillomavirus prevalence in breast cancer fresh tissues
    Geilson Gomes de Oliveira, Ana Katherine Gonçalves, José Eleutério, Luiz Gonzaga Porto Pinheiro
    Breast Disease.2021; 41(1): 123.     CrossRef
  • Is human papillomavirus associated with breast cancer or papilloma presenting with pathologic nipple discharge?
    Fatih Levent Balci, Cihan Uras, Sheldon Marc Feldman
    Cancer Treatment and Research Communications.2019; 19: 100122.     CrossRef
  • Is the HPV virus responsible for the development of breast cancer?
    Erik Kudela, Marcela Nachajova, Jan Danko
    The Breast Journal.2019; 25(5): 1053.     CrossRef
  • Absence of Human Papillomavirus in Benign and Malignant Breast Tissue
    Maryam Kazemi Aghdam, Seyed Alireza Nadji, Azadeh Alvandimanesh, Maliheh Khoddami, Yassaman Khademi
    Iranian Journal of Pathology.2019; 14(4): 279.     CrossRef
  • Oncogenic Viruses and Breast Cancer: Mouse Mammary Tumor Virus (MMTV), Bovine Leukemia Virus (BLV), Human Papilloma Virus (HPV), and Epstein–Barr Virus (EBV)
    James S. Lawson, Brian Salmons, Wendy K. Glenn
    Frontiers in Oncology.2018;[Epub]     CrossRef
  • Viral infections and breast cancer – A current perspective
    O.M. Gannon, A. Antonsson, I.C. Bennett, N.A. Saunders
    Cancer Letters.2018; 420: 182.     CrossRef
  • Prevalence of EBV, HPV and MMTV in Pakistani breast cancer patients: A possible etiological role of viruses in breast cancer
    Wasifa Naushad, Orooj Surriya, Hajra Sadia
    Infection, Genetics and Evolution.2017; 54: 230.     CrossRef

JPTM : Journal of Pathology and Translational Medicine