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Reevaluating diagnostic categories and associated malignancy risks in thyroid core needle biopsy
Chan Kwon Jung
J Pathol Transl Med. 2023;57(4):208-216.   Published online July 11, 2023
DOI: https://doi.org/10.4132/jptm.2023.06.20
  • 1,276 View
  • 161 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDF
As the application of core needle biopsy (CNB) in evaluating thyroid nodules rises in clinical practice, the 2023 Korean Thyroid Association Management Guidelines for Patients with Thyroid Nodules have officially recognized its value for the first time. CNB procures tissue samples preserving both histologic structure and cytologic detail, thereby supplying substantial material for an accurate diagnosis and reducing the necessity for repeated biopsies or subsequent surgical interventions. The current review introduces the risk of malignancy within distinct diagnostic categories, emphasizing the implications of noninvasive follicular thyroid neoplasm with papillary-like nuclear features on these malignancy risks. Prior research has indicated diagnostic challenges associated with follicular-patterned lesions, resulting in notable variation within indeterminate diagnostic categories. The utilization of mutation-specific immunostaining in CNB enhances the accuracy of lesion classification. This review underlines the essential role of a multidisciplinary approach in diagnosing follicular-patterned lesions and the potential of mutation-specific immunostaining to strengthen diagnostic consensus and inform patient management decisions.

Citations

Citations to this article as recorded by  
  • Diagnostic implication of thyroid spherules for cytological diagnosis of thyroid nodules
    Heeseung Sohn, Kennichi Kakudo, Chan Kwon Jung
    Cytopathology.2024; 35(3): 383.     CrossRef
  • A Narrative Review of the 2023 Korean Thyroid Association Management Guideline for Patients with Thyroid Nodules
    Eun Kyung Lee, Young Joo Park, Chan Kwon Jung, Dong Gyu Na
    Endocrinology and Metabolism.2024; 39(1): 61.     CrossRef
Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists
Yosep Chong, Dae Cheol Kim, Chan Kwon Jung, Dong-chul Kim, Sang Yong Song, Hee Jae Joo, Sang-Yeop Yi
J Pathol Transl Med. 2020;54(6):437-452.   Published online October 8, 2020
DOI: https://doi.org/10.4132/jptm.2020.08.27
  • 6,605 View
  • 283 Download
  • 17 Web of Science
  • 18 Crossref
AbstractAbstract PDFSupplementary Material
Digital pathology (DP) using whole slide imaging (WSI) is becoming a fundamental issue in pathology with recent advances and the rapid development of associated technologies. However, the available evidence on its diagnostic uses and practical advice for pathologists on implementing DP remains insufficient, particularly in light of the exponential growth of this industry. To inform DP implementation in Korea, we developed relevant and timely recommendations. We first performed a literature review of DP guidelines, recommendations, and position papers from major countries, as well as a review of relevant studies validating WSI. Based on that information, we prepared a draft. After several revisions, we released this draft to the public and the members of the Korean Society of Pathologists through our homepage and held an open forum for interested parties. Through that process, this final manuscript has been prepared. This recommendation contains an overview describing the background, objectives, scope of application, and basic terminology; guidelines and considerations for the hardware and software used in DP systems and the validation required for DP implementation; conclusions; and references and appendices, including literature on DP from major countries and WSI validation studies.

Citations

Citations to this article as recorded by  
  • Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
    Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J.V. Campbell, Andrew P. Norgan, Cynthia Lokker
    Journal of Pathology Informatics.2024; 15: 100348.     CrossRef
  • ChatGPT as an aid for pathological diagnosis of cancer
    Shaivy Malik, Sufian Zaheer
    Pathology - Research and Practice.2024; 253: 154989.     CrossRef
  • Remote Placental Sign-Out: What Digital Pathology Can Offer for Pediatric Pathologists
    Casey P. Schukow, Jacqueline K. Macknis
    Pediatric and Developmental Pathology.2024;[Epub]     CrossRef
  • Digital Validation in Breast Cancer Needle Biopsies: Comparison of Histological Grade and Biomarker Expression Assessment Using Conventional Light Microscopy, Whole Slide Imaging, and Digital Image Analysis
    Ji Eun Choi, Kyung-Hee Kim, Younju Lee, Dong-Wook Kang
    Journal of Personalized Medicine.2024; 14(3): 312.     CrossRef
  • Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
    Young-Gon Kim, In Hye Song, Seung Yeon Cho, Sungchul Kim, Milim Kim, Soomin Ahn, Hyunna Lee, Dong Hyun Yang, Namkug Kim, Sungwan Kim, Taewoo Kim, Daeyoung Kim, Jonghyeon Choi, Ki-Sun Lee, Minuk Ma, Minki Jo, So Yeon Park, Gyungyub Gong
    Cancer Research and Treatment.2023; 55(2): 513.     CrossRef
  • Recent application of artificial intelligence on histopathologic image-based prediction of gene mutation in solid cancers
    Mohammad Rizwan Alam, Kyung Jin Seo, Jamshid Abdul-Ghafar, Kwangil Yim, Sung Hak Lee, Hyun-Jong Jang, Chan Kwon Jung, Yosep Chong
    Briefings in Bioinformatics.2023;[Epub]     CrossRef
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    Sumi Piya, Jochen K. Lennerz
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Diagnostic proficiency test using digital cytopathology and comparative assessment of whole slide images of cytologic samples for quality assurance program in Korea
    Yosep Chong, Soon Auck Hong, Hoon Kyu Oh, Soo Jin Jung, Bo-Sung Kim, Ji Yun Jeong, Ho-Chang Lee, Gyungyub Gong
    Journal of Pathology and Translational Medicine.2023; 57(5): 251.     CrossRef
  • Real-World Implementation of Digital Pathology: Results From an Intercontinental Survey
    Daniel Gomes Pinto, Andrey Bychkov, Naoko Tsuyama, Junya Fukuoka, Catarina Eloy
    Laboratory Investigation.2023; 103(12): 100261.     CrossRef
  • National digital pathology projects in Switzerland: A 2023 update
    Rainer Grobholz, Andrew Janowczyk, Ana Leni Frei, Mario Kreutzfeldt, Viktor H. Koelzer, Inti Zlobec
    Die Pathologie.2023; 44(S3): 225.     CrossRef
  • Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology
    Andrew Janowczyk, Inti Zlobec, Cedric Walker, Sabina Berezowska, Viola Huschauer, Marianne Tinguely, Joel Kupferschmid, Thomas Mallet, Doron Merkler, Mario Kreutzfeldt, Radivoje Gasic, Tilman T. Rau, Luca Mazzucchelli, Isgard Eyberg, Gieri Cathomas, Kirst
    Virchows Archiv.2023;[Epub]     CrossRef
  • Understanding the ethical and legal considerations of Digital Pathology
    Cheryl Coulter, Francis McKay, Nina Hallowell, Lisa Browning, Richard Colling, Philip Macklin, Tom Sorell, Muhammad Aslam, Gareth Bryson, Darren Treanor, Clare Verrill
    The Journal of Pathology: Clinical Research.2022; 8(2): 101.     CrossRef
  • Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
    Muhammad Joan Ailia, Nishant Thakur, Jamshid Abdul-Ghafar, Chan Kwon Jung, Kwangil Yim, Yosep Chong
    Cancers.2022; 14(10): 2400.     CrossRef
  • Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review
    Mohammad Rizwan Alam, Jamshid Abdul-Ghafar, Kwangil Yim, Nishant Thakur, Sung Hak Lee, Hyun-Jong Jang, Chan Kwon Jung, Yosep Chong
    Cancers.2022; 14(11): 2590.     CrossRef
  • Automated Hybrid Model for Detecting Perineural Invasion in the Histology of Colorectal Cancer
    Jiyoon Jung, Eunsu Kim, Hyeseong Lee, Sung Hak Lee, Sangjeong Ahn
    Applied Sciences.2022; 12(18): 9159.     CrossRef
  • Development of quality assurance program for digital pathology by the Korean Society of Pathologists
    Yosep Chong, Jeong Mo Bae, Dong Wook Kang, Gwangil Kim, Hye Seung Han
    Journal of Pathology and Translational Medicine.2022; 56(6): 370.     CrossRef
  • Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence
    Young Sin Ko, Yoo Mi Choi, Mujin Kim, Youngjin Park, Murtaza Ashraf, Willmer Rafell Quiñones Robles, Min-Ju Kim, Jiwook Jang, Seokju Yun, Yuri Hwang, Hani Jang, Mun Yong Yi, Anwar P.P. Abdul Majeed
    PLOS ONE.2022; 17(12): e0278542.     CrossRef
  • What is Essential is (No More) Invisible to the Eyes: The Introduction of BlocDoc in the Digital Pathology Workflow
    Vincenzo L’Imperio, Fabio Gibilisco, Filippo Fraggetta
    Journal of Pathology Informatics.2021; 12(1): 32.     CrossRef
HER2 status in breast cancer: changes in guidelines and complicating factors for interpretation
Soomin Ahn, Ji Won Woo, Kyoungyul Lee, So Yeon Park
J Pathol Transl Med. 2020;54(1):34-44.   Published online November 6, 2019
DOI: https://doi.org/10.4132/jptm.2019.11.03
  • 18,387 View
  • 1,048 Download
  • 100 Web of Science
  • 102 Crossref
AbstractAbstract PDF
Human epidermal growth factor receptor 2 (HER2) protein overexpression and/or HER2 gene amplification is found in about 20% of invasive breast cancers. It is a sole predictive marker for treatment benefits from HER2 targeted therapy and thus, HER2 testing is a routine practice for newly diagnosed breast cancer in pathology. Currently, HER2 immunohistochemistry (IHC) is used for a screening test, and in situ hybridization is used as a confirmation test for HER2 IHC equivocal cases. Since the American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines on HER2 testing was first released in 2007, it has been updated to provide clear instructions for HER2 testing and accurate determination of HER2 status in breast cancer. During HER2 interpretation, some pitfalls such as intratumoral HER2 heterogeneity and increase in chromosome enumeration probe 17 signals may lead to inaccurate assessment of HER2 status. Moreover, HER2 status can be altered after neoadjuvant chemotherapy or during metastatic progression, due to biologic or methodologic issues. This review addresses recent updates of ASCO/CAP guidelines and factors complicating in the interpretation of HER2 status in breast cancers.

Citations

Citations to this article as recorded by  
  • Standardized pathology report for HER2 testing in compliance with 2023 ASCO/CAP updates and 2023 ESMO consensus statements on HER2-low breast cancer
    Mariia Ivanova, Francesca Maria Porta, Marianna D’Ercole, Carlo Pescia, Elham Sajjadi, Giulia Cursano, Elisa De Camilli, Oriana Pala, Giovanni Mazzarol, Konstantinos Venetis, Elena Guerini-Rocco, Giuseppe Curigliano, Giuseppe Viale, Nicola Fusco
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    Johannes Harter, Eleonora Buth, Janina Johaenning, Florian Battke, Maria Kopp, Henning Zelba, Martin Schulze, Jiri Koedding, Saskia Biskup
    The Journal of Molecular Diagnostics.2024; 26(1): 61.     CrossRef
  • Are There More HER2 FISH in the Sea? An Institution’s Experience in Identifying HER2 Positivity Using Fluorescent In Situ Hybridization in Patients with HER2 Negative Immunohistochemistry
    Camille Suydam, Fairouz Chibane, Nicole Brown, Madeleine Schlafly, Alicia H. Arnold, Intisar Ghleilib, Melissa Easley, Joseph White
    Annals of Surgical Oncology.2024; 31(1): 376.     CrossRef
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    Huiyue Li, Jennifer K. Plichta, Kan Li, Yizi Jin, Samantha M. Thomas, Fei Ma, Li Tang, Qingyi Wei, You-Wen He, Qichen Chen, Yuanyuan Guo, Yueping Liu, Jian Zhang, Sheng Luo
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  • Qualification of a multiplexed tissue imaging assay and detection of novel patterns of HER2 heterogeneity in breast cancer
    Jennifer L. Guerriero, Jia-Ren Lin, Ricardo G. Pastorello, Ziming Du, Yu-An Chen, Madeline G. Townsend, Kenichi Shimada, Melissa E. Hughes, Siyang Ren, Nabihah Tayob, Kelly Zheng, Shaolin Mei, Alyssa Patterson, Krishan L. Taneja, Otto Metzger, Sara M. Tol
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    Melissa Yuwono Tjota, Jeremy P Segal, Peng Wang
    The Journal of Applied Laboratory Medicine.2024; 9(1): 76.     CrossRef
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    Sanathana Konugolu Venkata Sekar, Hui Ma, Katarzyna Komolibus, Gokhan Dumlupinar, Matthias J. Mickert, Krzysztof Krawczyk, Stefan Andersson-Engels
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    Ximena Baez-Navarro, Mieke R. van Bockstal, Agnes Jager, Carolien H.M. van Deurzen
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  • Treatment Patterns and Health Outcomes among Patients with HER2 IHC0/-Low Metastatic or Recurrent Breast Cancer
    Eliya Farah, Chantelle Carbonell, Devon J. Boyne, Darren R. Brenner, Jan-Willem Henning, Daniel Moldaver, Simran Shokar, Winson Y. Cheung
    Cancers.2024; 16(3): 518.     CrossRef
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    Yoga S. Narwadkar, Rahul V. Parghane, Sudeep Sahu, Sangita Lad, Kamal Deep, Gaurav Wanage, Tejal Suralkar, Sharmila Banerjee, Sudeep Gupta, Sandip Basu, Rajendra A. Badwe
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    Journal of Cutaneous Pathology.2024;[Epub]     CrossRef
  • Concordance between pathologists and between specimen types in detection of HER2-low breast carcinoma by immunohistochemistry
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    Annals of Diagnostic Pathology.2024; 70: 152288.     CrossRef
  • Detection of HER2 expression using 99mTc-NM-02 nanobody in patients with breast cancer: a non-randomized, non-blinded clinical trial
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  • Clinicopathological and prognostic significance of VEGF, PDGF-B, and HER2/neu expression in gallbladder cancer
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  • Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer
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    Lan Deng, Le Zhao, Lifen Liu, Haomin Huang
    Open Life Sciences.2023;[Epub]     CrossRef
  • HER2-low expression in patients with advanced or metastatic solid tumors
    B. Uzunparmak, C. Haymaker, G. Raso, S. Masciari, L. Wang, H. Lin, A. Gorur, B. Kirby, A.-M. Cimo, A. Kennon, Q. Ding, G. Urschel, Y. Yuan, G. Feng, Y. Rizvi, A. Hussain, C. Zhu, P. Kim, G. Abbadessa, V. Subbiah, T.A. Yap, J. Rodon, S.A. Piha-Paul, F. Mer
    Annals of Oncology.2023; 34(11): 1035.     CrossRef
  • Data on 2D culture characterisation of potential markers in human HER2-positive breast cancer cell lines
    Son H. Pham, Lyn R. Griffiths, Rachel K. Okolicsanyi, Larisa M. Haupt
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  • Determining HER2 Status by Artificial Intelligence: An Investigation of Primary, Metastatic, and HER2 Low Breast Tumors
    Christiane Palm, Catherine E. Connolly, Regina Masser, Barbara Padberg Sgier, Eva Karamitopoulou, Quentin Simon, Beata Bode, Marianne Tinguely
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  • Gene amplification mutations originate prior to selective stress in Acinetobacter baylyi
    Jennifer A Herrmann, Agata Koprowska, Tesa J Winters, Nancy Villanueva, Victoria D Nikityuk, Feini Pek, Elizabeth M Reis, Constancia Z Dominguez, Daniel Davis, Eric McPherson, Staci R Rocco, Cynthia Recendez, Shyla M Difuntorum, Kelly Faeth, Mario D Lopez
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    Jie Wang, Robert Dallmann, Renquan Lu, Jing Yan, Jérôme Charmet
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  • Single-cell HER2 quantification via instant signal amplification in microdroplets
    Xiaoxian Liu, Yifan Zhu, Caoxin Li, Yanyun Fang, Jinna Chen, Fei Xu, Yanqing Lu, Perry Ping Shum, Ying Liu, Guanghui Wang
    Analytica Chimica Acta.2023; 1251: 340976.     CrossRef
  • Molecular imaging of HER2 receptor: Targeting HER2 for imaging and therapy in nuclear medicine
    Daniela Miladinova
    Frontiers in Molecular Biosciences.2023;[Epub]     CrossRef
  • CORRELATION BETWEEN DIFFERENT CLINICOPATHOLOGICAL PARAMETERS AND MOLECULAR SUBTYPES OF FEMALE BREAST CARCINOMA IN SOUTH REGION OF IRAQ
    Yassir Alaa Muhammed Hassan Shubbar
    Wiadomości Lekarskie.2023; 76(1): 97.     CrossRef
  • Pathological identification of HER2-low breast cancer: Tips, tricks, and troubleshooting for the optimal test
    Elham Sajjadi, Elena Guerini-Rocco, Elisa De Camilli, Oriana Pala, Giovanni Mazzarol, Konstantinos Venetis, Mariia Ivanova, Nicola Fusco
    Frontiers in Molecular Biosciences.2023;[Epub]     CrossRef
  • Protective Effect of HER2 Gene Polymorphism rs24537331 in the Outcome of Canine Mammary Tumors
    Ana Canadas-Sousa, Marta Santos, Patrícia Dias-Pereira
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  • Can Patients with HER2-Low Breast Cancer Benefit from Anti-HER2 Therapies? A Review
    Jin Wang, Dongying Liao, Xuemin Zhang, Changhong Miao, Kuang Chen
    Breast Cancer: Targets and Therapy.2023; Volume 15: 281.     CrossRef
  • HER2 Low Breast Cancer: A New Subtype or a Trojan for Cytotoxic Drug Delivery?
    Marina Popović, Tajana Silovski, Marija Križić, Natalija Dedić Plavetić
    International Journal of Molecular Sciences.2023; 24(9): 8206.     CrossRef
  • HER2-Low Breast Cancer—Diagnostic Challenges and Opportunities for Insights from Ongoing Studies: A Podcast
    Aditya Bardia, Giuseppe Viale
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  • Histopathological and immunohistochemical analysis of predictive and prognostic markers in spontaneous canine mammary cancer
    Vladimír Tancoš, Marcel Kovalik, Martin Levkut, Martina Bobrovská, Petra Kolenčíková, Ľubomír Straka, Zuzana Ševčíková, Ondřej Škor, Martina Antošová, Lukáš Plank, Keith L. Thoday
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  • Dissecting sources of variability in patient response to targeted therapy: anti-HER2 therapies as a case study
    Timothy Qi, Yanguang Cao
    European Journal of Pharmaceutical Sciences.2023; 186: 106467.     CrossRef
  • The Effect of HER2-Low Status on Pathological Complete Response and Survival in Triple-Negative Breast Cancer: A Systemic Review and Meta-Analysis
    Yakup Ergun, Baran Akagunduz, Cengiz Karacin, Sema Turker, Gokhan Ucar
    Clinical Breast Cancer.2023; 23(6): 567.     CrossRef
  • Efficacy, toxicity and prognostic factors of pyrotinib‑involved neoadjuvant therapy in HER2‑positive breast cancer: A retrospective study
    Hao Wang, Hailing Cao, Zhiyun Guo
    Oncology Letters.2023;[Epub]     CrossRef
  • Identification of novel chemical scaffolds against kinase domain of cancer causing human epidermal growth factor receptor 2: a systemic chemoinformatic approach
    Faris Alrumaihi
    Journal of Biomolecular Structure and Dynamics.2023; : 1.     CrossRef
  • Advancements in clinical aspects of targeted therapy and immunotherapy in breast cancer
    Feng Ye, Saikat Dewanjee, Yuehua Li, Niraj Kumar Jha, Zhe-Sheng Chen, Ankush Kumar, Vishakha, Tapan Behl, Saurabh Kumar Jha, Hailin Tang
    Molecular Cancer.2023;[Epub]     CrossRef
  • Weakly supervised bilayer convolutional network in segmentation of HER2 related cells to guide HER2 targeted therapies
    Ching-Wei Wang, Kun-Lin Lin, Hikam Muzakky, Yi-Jia Lin, Tai-Kuang Chao
    Computerized Medical Imaging and Graphics.2023; 108: 102270.     CrossRef
  • Immune Biomarkers in Triple-Negative Breast Cancer: Improving the Predictivity of Current Testing Methods
    Francesca Maria Porta, Elham Sajjadi, Konstantinos Venetis, Chiara Frascarelli, Giulia Cursano, Elena Guerini-Rocco, Nicola Fusco, Mariia Ivanova
    Journal of Personalized Medicine.2023; 13(7): 1176.     CrossRef
  • HER2 Equivocal (Score = 2+) Breast Carcinoma Cases Identified by Immunohistochemistry at a South African Hospital. What is the Impact of Fluorescent In Situ Hybridization Testing?
    Reena Dhansukh Mohanlal, Nikki Bouwer, Pascale Willem
    Applied Immunohistochemistry & Molecular Morphology.2023; 31(8): 555.     CrossRef
  • Discordance of HER2 Expression and/or Amplification on Repeat Testing
    Timothy P. DiPeri, Kathleen Kong, Kaushik Varadarajan, Daniel D. Karp, Jaffer A. Ajani, Shubham Pant, Michael F. Press, Sarina A. Piha-Paul, Ecaterina E. Dumbrava, Funda Meric-Bernstam
    Molecular Cancer Therapeutics.2023; 22(8): 976.     CrossRef
  • Low and Ultra-Low HER2 in Human Breast Cancer: An Effort to Define New Neoplastic Subtypes
    Mariausilia Franchina, Cristina Pizzimenti, Vincenzo Fiorentino, Maurizio Martini, Giuseppina Rosaria Rita Ricciardi, Nicola Silvestris, Antonio Ieni, Giovanni Tuccari
    International Journal of Molecular Sciences.2023; 24(16): 12795.     CrossRef
  • Genetic analysis of oligo-recurrence breast cancer: correlation with clinical outcomes
    Kuikui Jiang, Danyang Zhou, Fei Xu, Wen Xia, Qiufan Zheng, Qianyi Lu, Rongzhen Luo, Ruoxi Hong, Shusen Wang
    BMC Cancer.2023;[Epub]     CrossRef
  • Single domain antibodies specific for HER2 dimerization domain effectively disrupts HER2 dimerization
    Ahmad Najafi, Reza Valadan, Hossein Asgarian-Omran, Alireza Rafiei, Mohsen Tehrani
    International Immunopharmacology.2023; 124: 110999.     CrossRef
  • Récepteur du facteur de croissance épidermique HER2, tests utilisés pour rechercher son amplification dans le cancer du sein : principes et limites
    Imane Eliahiai, Mohammed Eljiar, Sanae Chaib, Jinane KHarmoum, Mariame Chraïbi
    Bulletin du Cancer.2023; 110(12): 1301.     CrossRef
  • HER2 copy number determination in breast cancer using the highly sensitive droplet digital PCR method
    Beate Alinger-Scharinger, Cornelia Kronberger, Georg Hutarew, Wolfgang Hitzl, Roland Reitsamer, Klaassen-Federspiel Frederike, Martina Hager, Thorsten Fischer, Karl Sotlar, Heidi Jaksch-Bogensperger
    Virchows Archiv.2023;[Epub]     CrossRef
  • Integrated Molecular Characterization of HER2-Low Breast Cancer Using Next Generation Sequencing (NGS)
    Jean-Louis Merlin, Marie Husson, Nassim Sahki, Pauline Gilson, Vincent Massard, Alexandre Harlé, Agnès Leroux
    Biomedicines.2023; 11(12): 3164.     CrossRef
  • Design of a Ratiometric Plasmonic Biosensor for Herceptin Detection in HER2-Positive Breast Cancer
    Neda Shahbazi, Rouholah Zare-Dorabei, Seyed Morteza Naghib
    ACS Biomaterials Science & Engineering.2022; 8(2): 871.     CrossRef
  • A highly sensitive nanobiosensor based on aptamer-conjugated graphene-decorated rhodium nanoparticles for detection of HER2-positive circulating tumor cells
    Mahdi Sadeghi, Soheila Kashanian, Seyed Morteza Naghib, Esfandyar Askari, Fateme Haghiralsadat, Davood Tofighi
    Nanotechnology Reviews.2022; 11(1): 793.     CrossRef
  • Anti-HER2 therapy in metastatic breast cancer: many choices and future directions
    Carrie S. Wynn, Shou-Ching Tang
    Cancer and Metastasis Reviews.2022; 41(1): 193.     CrossRef
  • Electroanalytical overview: screen-printed electrochemical sensing platforms for the detection of vital cardiac, cancer and inflammatory biomarkers
    Robert D. Crapnell, Alejandro Garcia-Miranda Ferrari, Nina C. Dempsey, Craig E. Banks
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Good Laboratory Standards for Clinical Next-Generation Sequencing Cancer Panel Tests
Jihun Kim, Woong-Yang Park, Nayoung K. D. Kim, Se Jin Jang, Sung-Min Chun, Chang-Ohk Sung, Jene Choi, Young-Hyeh Ko, Yoon-La Choi, Hyo Sup Shim, Jae-Kyung Won
J Pathol Transl Med. 2017;51(3):191-204.   Published online May 10, 2017
DOI: https://doi.org/10.4132/jptm.2017.03.14
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AbstractAbstract PDF
Next-generation sequencing (NGS) has recently emerged as an essential component of personalized cancer medicine due to its high throughput and low per-base cost. However, no sufficient guidelines for implementing NGS as a clinical molecular pathology test are established in Korea. To ensure clinical grade quality without inhibiting adoption of NGS, a taskforce team assembled by the Korean Society of Pathologists developed laboratory guidelines for NGS cancer panel testing procedures and requirements for clinical implementation of NGS. This consensus standard proposal consists of two parts: laboratory guidelines and requirements for clinical NGS laboratories. The laboratory guidelines part addressed several important issues across multistep NGS cancer panel tests including choice of gene panel and platform, sample handling, nucleic acid management, sample identity tracking, library preparation, sequencing, analysis and reporting. Requirements for clinical NGS tests were summarized in terms of documentation, validation, quality management, and other required written policies. Together with appropriate pathologist training and international laboratory standards, these laboratory standards would help molecular pathology laboratories to successfully implement NGS cancer panel tests in clinic. In this way, the oncology community would be able to help patients to benefit more from personalized cancer medicine.

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DOI: https://doi.org/10.4132/jptm.2017.04.10
  • 13,829 View
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  • 22 Crossref
AbstractAbstract PDF
Targeted therapies guided by molecular diagnostics have become a standard treatment of lung cancer. Epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) rearrangements are currently used as the best predictive biomarkers for EGFR tyrosine kinase inhibitors and ALK inhibitors, respectively. Besides EGFR and ALK, the list of druggable genetic alterations has been growing, including ROS1 rearrangements, RET rearrangements, and MET alterations. In this situation, pathologists should carefully manage clinical samples for molecular testing and should do their best to quickly and accurately identify patients who will benefit from precision therapeutics. Here, we grouped molecular biomarkers of lung cancers into three categories—mutations, gene rearrangements, and amplifications—and propose expanded guidelines on molecular testing of lung cancers.

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Pathology Reporting of Thyroid Core Needle Biopsy: A Proposal of the Korean Endocrine Pathology Thyroid Core Needle Biopsy Study Group
Chan Kwon Jung, Hye Sook Min, Hyo Jin Park, Dong Eun Song, Jang Hee Kim, So Yeon Park, Hyunju Yoo, Mi Kyung Shin, Korean Endocrine Pathology Thyroid Core Needle Biopsy Study Group
J Pathol Transl Med. 2015;49(4):288-299.   Published online June 17, 2015
DOI: https://doi.org/10.4132/jptm.2015.06.04
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AbstractAbstract PDF
In recent years throughout Korea, the use of ultrasound-guided core needle biopsy (CNB) has become common for the preoperative diagnosis of thyroid nodules. However, there is no consensus on the pathology reporting system for thyroid CNB. The Korean Endocrine Pathology Thyroid Core Needle Biopsy Study Group held a conference on thyroid CNB pathology and developed guidelines through contributions from the participants. This article discusses the outcome of the discussions that led to a consensus on the pathology reporting of thyroid CNB.

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Guideline Recommendations for Testing of ALK Gene Rearrangement in Lung Cancer: A Proposal of the Korean Cardiopulmonary Pathology Study Group
Hyojin Kim, Hyo Sup Shim, Lucia Kim, Tae-Jung Kim, Kun Young Kwon, Geon Kook Lee, Jin-Haeng Chung
Korean J Pathol. 2014;48(1):1-9.   Published online February 25, 2014
DOI: https://doi.org/10.4132/KoreanJPathol.2014.48.1.1
  • 12,321 View
  • 113 Download
  • 19 Crossref
AbstractAbstract PDF

Rearrangement of anaplastic lymphoma kinase (ALK) gene is the best predictor of response to crizotinib, an ALK tyrosine kinase inhibitor. However, the prevalence of the ALK fusion is low, so accurate patient identification is crucial for successful treatment using ALK inhibitors. Furthermore, most patients with lung cancer present with advanced-stage disease at the time of diagnosis, so it is important for pathologists to detect ALK-rearranged patients while effectively maximizing small biopsy or cytology specimens. In this review, we propose a guideline recommendation for ALK testing approved by the Cardiopulmonary Pathology Study Group of the Korean Society of Pathologists.

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Review & Perspective
Guideline Recommendations for EGFR Mutation Testing in Lung Cancer: Proposal of the Korean Cardiopulmonary Pathology Study Group
Hyo Sup Shim, Jin-Haeng Chung, Lucia Kim, Sunhee Chang, Wan-Seop Kim, Geon Kook Lee, Soon-Hee Jung, Se Jin Jang
Korean J Pathol. 2013;47(2):100-106.   Published online April 24, 2013
DOI: https://doi.org/10.4132/KoreanJPathol.2013.47.2.100
  • 9,298 View
  • 64 Download
  • 11 Crossref
AbstractAbstract PDF

Mutations of the epidermal growth factor receptor (EGFR) are the strongest predictive factor for response to EGFR tyrosine kinase inhibitors (TKIs), such as gefitinib and erlotinib. EGFR TKIs are approved in Korea as a first-line treatment for lung cancer patients with mutated EGFR. Rapid and accurate EGFR mutation testing is essential for patient selection and establishing targeted therapies with EGFR TKIs. Thus, a standard set of guideline recommendations for EGFR mutation testing suitable for the Korean medical community is necessary. In this article, we propose a set of guideline recommendations for EGFR mutation testing that was discussed and approved by the Cardiopulmonary Pathology Study Group of the Korean Society of Pathologists.

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Original Article
Guidelines for Pathologic Study of Gastric Cancer.
Korean J Pathol. 1992;26(2):154-163.
  • 1,490 View
  • 33 Download
AbstractAbstract PDF
Gastric cancer is the most common malignant neoplasm among Koreans, and the pathologists's daily diagnostic competency on gastric cancer at any hospital setting plays a critical implication not only in the quality of clinical service but also to the determination of patient's prognosis. Thus, adoption of a unified assessment system based on comprehensive understanding of pathologic features together with their active participation has been crucially demanded. Nevertheless, a considerable difference in handling procedures and diagnostic approach on gastric cancer among institutions apparently resulted in an extreme difficulty in exchange of clinicopathologic informations and in the nationwide survey. It is, therefore, essential and be the first step to develop a practical but scientific and reproducible classification of gastric cancer with its diverse gross and histologic findings. Based on the following basic principles, the Subcommittee on Gastric Cancer under the Gastrointestinal Study Group of the Korean Society of Pathologists has been requested to develop the guidelines of future pathologic study of gastric cancer to meet the above needs and be efficiently used with ease among the society members. 1) The prerequisite for pathologic classification of gastric cancer starts with consistency in handling of the resected stomach before its further examination. Thus, the guideline shall limits its scope only with the minimum agreement. 2) The classification should be simple and practical so that all pathologists can use with ease and with high reproducibility. 3) All the gross and microscopic findings which have been considered to be the prognosis-related factors should be included in every pathologic procedures to help future information exchange among pathologists and clinicians and to provide a meaningful role in determination of patient's prognosis. 4) The classification should be interchangeable and stand with compatibility among WHO and other internationally accepted classifications. 5) The guideline accepts in part the staging system of American Joint Commitee on Cancer, classification of early gastric cancer proposed by the Japanese Society of Gastrointestinal Endoscopy, and the General Rules of Stomach Cancer Study by Japanese Research Society of Gastric Cancer, until otherwise developed and accepted by the Korean Society of Pathologists. 6) The guideline should not interfere with each institution-based special study. The details of the handling procedures of the resected stomach cancer, its gross and histologic classifications and descriptive methods of prognostic factors are supplemented with illustrations.

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