Skip Navigation
Skip to contents

J Pathol Transl Med : Journal of Pathology and Translational Medicine

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
32 "Mee Yon Cho"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Article image
A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database
Yosep Chong, Ji Young Lee, Yejin Kim, Jingyun Choi, Hwanjo Yu, Gyeongsin Park, Mee Yon Cho, Nishant Thakur
J Pathol Transl Med. 2020;54(6):462-470.   Published online August 31, 2020
DOI: https://doi.org/10.4132/jptm.2020.07.11
  • 4,566 View
  • 126 Download
  • 8 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary Material
Background
Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be challenging in daily practice, and exponentially expanding volumes of IHC data are making the task increasingly difficult. We therefore developed a machine-learning expert-supporting system for diagnosing lymphoid neoplasms.
Methods
A probabilistic decision-tree algorithm based on the Bayesian theorem was used to develop mobile application software for iOS and Android platforms. We tested the software with real data from 602 training and 392 validation cases of lymphoid neoplasms and compared the precision hit rates between the training and validation datasets.
Results
IHC expression data for 150 lymphoid neoplasms and 584 antibodies was gathered. The precision hit rates of 94.7% in the training data and 95.7% in the validation data for lymphomas were not statistically significant. Results in most B-cell lymphomas were excellent, and generally equivalent performance was seen in T-cell lymphomas. The primary reasons for lack of precision were atypical IHC profiles for certain cases (e.g., CD15-negative Hodgkin lymphoma), a lack of disease-specific markers, and overlapping IHC profiles of similar diseases.
Conclusions
Application of the machine-learning algorithm to diagnosis precision produced acceptable hit rates in training and validation datasets. Because of the lack of origin- or disease- specific markers in differential diagnosis, contextual information such as clinical and histological features should be taken into account to make proper use of this system in the pathologic decision-making process.

Citations

Citations to this article as recorded by  
  • Revolutionizing Pathology with Artificial Intelligence: Innovations in Immunohistochemistry
    Diana Gina Poalelungi, Anca Iulia Neagu, Ana Fulga, Marius Neagu, Dana Tutunaru, Aurel Nechita, Iuliu Fulga
    Journal of Personalized Medicine.2024; 14(7): 693.     CrossRef
  • Enhanced Immunohistochemistry Interpretation with a Machine Learning-Based Expert System
    Anca Iulia Neagu, Diana Gina Poalelungi, Ana Fulga, Marius Neagu, Iuliu Fulga, Aurel Nechita
    Diagnostics.2024; 14(17): 1853.     CrossRef
  • Optimization of diagnosis and treatment of hematological diseases via artificial intelligence
    Shi-Xuan Wang, Zou-Fang Huang, Jing Li, Yin Wu, Jun Du, Ting Li
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Real-Life Barriers to Diagnosis of Early Mycosis Fungoides: An International Expert Panel Discussion 
    Emmilia Hodak, Larisa Geskin, Emmanuella Guenova, Pablo L. Ortiz-Romero, Rein Willemze, Jie Zheng, Richard Cowan, Francine Foss, Cristina Mangas, Christiane Querfeld
    American Journal of Clinical Dermatology.2023; 24(1): 5.     CrossRef
  • Validation of a Machine Learning Expert Supporting System, ImmunoGenius, Using Immunohistochemistry Results of 3000 Patients with Lymphoid Neoplasms
    Jamshid Abdul-Ghafar, Kyung Jin Seo, Hye-Ra Jung, Gyeongsin Park, Seung-Sook Lee, Yosep Chong
    Diagnostics.2023; 13(7): 1308.     CrossRef
  • Clinical approaches for integrating machine learning for patients with lymphoma: Current strategies and future perspectives
    Dai Chihara, Loretta J. Nastoupil, Christopher R. Flowers
    British Journal of Haematology.2023; 202(2): 219.     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 Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review
    Nishant Thakur, Mohammad Rizwan Alam, Jamshid Abdul-Ghafar, Yosep Chong
    Cancers.2022; 14(14): 3529.     CrossRef
  • Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation
    Yosep Chong, Nishant Thakur, Ji Young Lee, Gyoyeon Hwang, Myungjin Choi, Yejin Kim, Hwanjo Yu, Mee Yon Cho
    Diagnostic Pathology.2021;[Epub]     CrossRef
Review
Article image
Standardized Pathology Report for Colorectal Cancer, 2nd Edition
Baek-hui Kim, Joon Mee Kim, Gyeong Hoon Kang, Hee Jin Chang, Dong Wook Kang, Jung Ho Kim, Jeong Mo Bae, An Na Seo, Ho Sung Park, Yun Kyung Kang, Kyung-Hwa Lee, Mee Yon Cho, In-Gu Do, Hye Seung Lee, Hee Kyung Chang, Do Youn Park, Hyo Jeong Kang, Jin Hee Sohn, Mee Soo Chang, Eun Sun Jung, So-Young Jin, Eunsil Yu, Hye Seung Han, Youn Wha Kim
J Pathol Transl Med. 2020;54(1):1-19.   Published online November 13, 2019
DOI: https://doi.org/10.4132/jptm.2019.09.28
  • 19,372 View
  • 1,181 Download
  • 40 Web of Science
  • 34 Crossref
AbstractAbstract PDFSupplementary Material
The first edition of the ‘Standardized Pathology Report for Colorectal Cancer,’ which was developed by the Gastrointestinal Pathology Study Group (GIP) of the Korean Society of Pathologists, was published 13 years ago. Meanwhile, there have been many changes in the pathologic diagnosis of colorectal cancer (CRC), pathologic findings included in the pathology report, and immunohistochemical and molecular pathology required for the diagnosis and treatment of colorectal cancer. In order to reflect these changes, we (GIP) decided to make the second edition of the report. The purpose of this standardized pathology report is to provide a practical protocol for Korean pathologists, which could help diagnose and treat CRC patients. This report consists of “standard data elements” and “conditional data elements.” Basic pathologic findings and parts necessary for prognostication of CRC patients are classified as “standard data elements,” while other prognostic factors and factors related to adjuvant therapy are classified as “conditional data elements” so that each institution could select the contents according to the characteristics of the institution. The Korean version is also provided separately so that Korean pathologists can easily understand and use this report. We hope that this report will be helpful in the daily practice of CRC diagnosis.

Citations

Citations to this article as recorded by  
  • Additional staining for lymphovascular invasion is associated with increased estimation of lymph node metastasis in patients with T1 colorectal cancer: Systematic review and meta‐analysis
    Jun Watanabe, Katsuro Ichimasa, Yuki Kataoka, Atsushi Miki, Hidehiro Someko, Munenori Honda, Makiko Tahara, Takeshi Yamashina, Khay Guan Yeoh, Shigeo Kawai, Kazuhiko Kotani, Naohiro Sata
    Digestive Endoscopy.2024; 36(5): 533.     CrossRef
  • The use of core descriptors from the ENiGMA code study in recent literature: a systematic review
    Saher‐Zahra Khan, Andrea Arline, Kate M. Williams, Matthew J. Lee, Emily Steinhagen, Sharon L. Stein
    Colorectal Disease.2024; 26(3): 428.     CrossRef
  • Efficacy and safety of PD-1 blockade plus long-course chemoradiotherapy in locally advanced rectal cancer (NECTAR): a multi-center phase 2 study
    Zhengyang Yang, Jiale Gao, Jianyong Zheng, Jiagang Han, Ang Li, Gang Liu, Yi Sun, Jie Zhang, Guangyong Chen, Rui Xu, Xiao Zhang, Yishan Liu, Zhigang Bai, Wei Deng, Wei He, Hongwei Yao, Zhongtao Zhang
    Signal Transduction and Targeted Therapy.2024;[Epub]     CrossRef
  • Diagnostic Accuracy of Highest-Grade or Predominant Histological Differentiation of T1 Colorectal Cancer in Predicting Lymph Node Metastasis: A Systematic Review and Meta-Analysis
    Jun Watanabe, Katsuro Ichimasa, Yuki Kataoka, Shoko Miyahara, Atsushi Miki, Khay Guan Yeoh, Shigeo Kawai, Fernando Martínez de Juan, Isidro Machado, Kazuhiko Kotani, Naohiro Sata
    Clinical and Translational Gastroenterology.2024; 15(3): e00673.     CrossRef
  • Comparative evaluation of CT and MRI in the preoperative staging of colon cancer
    Effrosyni Bompou, Aikaterini Vassiou, Ioannis Baloyiannis, Konstantinos Perivoliotis, Ioannis Fezoulidis, George Tzovaras
    Scientific Reports.2024;[Epub]     CrossRef
  • Pathologic Implications of Magnetic Resonance Imaging-detected Extramural Venous Invasion of Rectal Cancer
    Hyun Gu Lee, Chan Wook Kim, Jong Keon Jang, Seong Ho Park, Young Il Kim, Jong Lyul Lee, Yong Sik Yoon, In Ja Park, Seok-Byung Lim, Chang Sik Yu, Jin Cheon Kim
    Clinical Colorectal Cancer.2023; 22(1): 129.     CrossRef
  • A standardized pathology report for gastric cancer: 2nd edition
    Young Soo Park, Myeong-Cherl Kook, Baek-hui Kim, Hye Seung Lee, Dong-Wook Kang, Mi-Jin Gu, Ok Ran Shin, Younghee Choi, Wonae Lee, Hyunki Kim, In Hye Song, Kyoung-Mee Kim, Hee Sung Kim, Guhyun Kang, Do Youn Park, So-Young Jin, Joon Mee Kim, Yoon Jung Choi,
    Journal of Pathology and Translational Medicine.2023; 57(1): 1.     CrossRef
  • IGFL2-AS1, a Long Non-Coding RNA, Is Associated with Radioresistance in Colorectal Cancer
    Jeeyong Lee, Da Yeon Kim, Younjoo Kim, Ui Sup Shin, Kwang Seok Kim, Eun Ju Kim
    International Journal of Molecular Sciences.2023; 24(2): 978.     CrossRef
  • A Standardized Pathology Report for Gastric Cancer: 2nd Edition
    Young Soo Park, Myeong-Cherl Kook, Baek-hui Kim, Hye Seung Lee, Dong-Wook Kang, Mi-Jin Gu, Ok Ran Shin, Younghee Choi, Wonae Lee, Hyunki Kim, In Hye Song, Kyoung-Mee Kim, Hee Sung Kim, Guhyun Kang, Do Youn Park, So-Young Jin, Joon Mee Kim, Yoon Jung Choi,
    Journal of Gastric Cancer.2023; 23(1): 107.     CrossRef
  • Incremental Detection Rate of Dysplasia and Sessile Serrated Polyps/Adenomas Using Narrow-Band Imaging and Dye Spray Chromoendoscopy in Addition to High-Definition Endoscopy in Patients with Long-Standing Extensive Ulcerative Colitis: Segmental Tandem End
    Ji Eun Kim, Chang Wan Choi, Sung Noh Hong, Joo Hye Song, Eun Ran Kim, Dong Kyung Chang, Young-Ho Kim
    Diagnostics.2023; 13(3): 516.     CrossRef
  • Prognostic Impact of Extramural Lymphatic, Vascular, and Perineural Invasion in Stage II Colon Cancer: A Comparison With Intramural Invasion
    Sang Sik Cho, Ji Won Park, Gyeong Hoon Kang, Jung Ho Kim, Jeong Mo Bae, Sae-Won Han, Tae-You Kim, Min Jung Kim, Seung-Bum Ryoo, Seung-Yong Jeong, Kyu Joo Park
    Diseases of the Colon & Rectum.2023; 66(3): 366.     CrossRef
  • Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
    Anton A. Plekhanov, Marina A. Sirotkina, Ekaterina V. Gubarkova, Elena B. Kiseleva, Alexander A. Sovetsky, Maria M. Karabut, Vladimir E. Zagainov, Sergey S. Kuznetsov, Anna V. Maslennikova, Elena V. Zagaynova, Vladimir Y. Zaitsev, Natalia D. Gladkova
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Is High-Grade Tumor Budding an Independent Prognostic Factor in Stage II Colon Cancer?
    Jung Kyong Shin, Yoon Ah Park, Jung Wook Huh, Seong Hyeon Yun, Hee Cheol Kim, Woo Yong Lee, Seok Hyung Kim, Sang Yun Ha, Yong Beom Cho
    Diseases of the Colon & Rectum.2023; 66(8): e801.     CrossRef
  • Detection of Human cytomegalovirus UL55 Gene and IE/E Protein Expression in Colorectal Cancer Patients in Egypt
    May Raouf, Ahmed A. Sabry, Mahinour A. Ragab, Samar El Achy, Amira Amer
    BMC Cancer.2023;[Epub]     CrossRef
  • Polo-like kinase 4 as a potential predictive biomarker of chemoradioresistance in locally advanced rectal cancer
    Hyunseung Oh, Soon Gu Kim, Sung Uk Bae, Sang Jun Byun, Shin Kim, Jae-Ho Lee, Ilseon Hwang, Sun Young Kwon, Hye Won Lee
    Journal of Pathology and Translational Medicine.2022; 56(1): 40.     CrossRef
  • A Prediction Model for Tumor Recurrence in Stage II–III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling
    Po-Chuan Chen, Yu-Min Yeh, Bo-Wen Lin, Ren-Hao Chan, Pei-Fang Su, Yi-Chia Liu, Chung-Ta Lee, Shang-Hung Chen, Peng-Chan Lin
    Biomedicines.2022; 10(2): 340.     CrossRef
  • Rationale and design of a prospective, multicenter, phase II clinical trial of safety and efficacy evaluation of long course neoadjuvant chemoradiotherapy plus tislelizumab followed by total mesorectal excision for locally advanced rectal cancer (NCRT-PD1
    Zhengyang Yang, Xiao Zhang, Jie Zhang, Jiale Gao, Zhigang Bai, Wei Deng, Guangyong Chen, Yongbo An, Yishan Liu, Qi Wei, Jiagang Han, Ang Li, Gang Liu, Yi Sun, Dalu Kong, Hongwei Yao, Zhongtao Zhang
    BMC Cancer.2022;[Epub]     CrossRef
  • Potential of DEK proto‑oncogene as a prognostic biomarker for colorectal cancer: An evidence‑based review
    Muhammad Habiburrahman, Muhammad Wardoyo, Stefanus Sutopo, Nur Rahadiani
    Molecular and Clinical Oncology.2022;[Epub]     CrossRef
  • Reproducibility and Feasibility of Classification and National Guidelines for Histological Diagnosis of Canine Mammary Gland Tumours: A Multi-Institutional Ring Study
    Serenella Papparella, Maria Crescio, Valeria Baldassarre, Barbara Brunetti, Giovanni Burrai, Cristiano Cocumelli, Valeria Grieco, Selina Iussich, Lorella Maniscalco, Francesca Mariotti, Francesca Millanta, Orlando Paciello, Roberta Rasotto, Mariarita Roma
    Veterinary Sciences.2022; 9(7): 357.     CrossRef
  • Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer
    Jeong-ki Kim, Ye-Young Rhee, Jeong Mo Bae, Jung Ho Kim, Seong-Joon Koh, Hyun Jung Lee, Jong Pil Im, Min Jung Kim, Seung-Bum Ryoo, Seung-Yong Jeong, Kyu Joo Park, Ji Won Park, Gyeong Hoon Kang
    BMC Cancer.2022;[Epub]     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
  • Clinical Implication of Perineural and Lymphovascular Invasion in Rectal Cancer Patients Who Underwent Surgery After Preoperative Chemoradiotherapy
    Young Il Kim, Chan Wook Kim, Jong Hoon Kim, Jihun Kim, Jun-Soo Ro, Jong Lyul Lee, Yong Sik Yoon, In Ja Park, Seok-Byung Lim, Chang Sik Yu, Jin Cheon Kim
    Diseases of the Colon & Rectum.2022; 65(11): 1325.     CrossRef
  • Molecular Pathology of Gastric Cancer
    Moonsik Kim, An Na Seo
    Journal of Gastric Cancer.2022; 22(4): 264.     CrossRef
  • Selective approach to arterial ligation in radical sigmoid colon cancer surgery with D3 lymph node dissection: A multicenter comparative study
    Sergey Efetov, Albina Zubayraeva, Cüneyt Kayaalp, Alisa Minenkova, Yusuf Bağ, Aftandil Alekberzade, Petr Tsarkov
    Turkish Journal of Surgery.2022; 38(4): 382.     CrossRef
  • Evaluation of lncRNA FOXD2-AS1 Expression as a Diagnostic Biomarker in Colorectal Cancer
    Hooman Shalmashi, Sahar Safaei, Dariush Shanehbandi, Milad Asadi, Soghra Bornehdeli, Abdolreza Mehdi Navaz
    Reports of Biochemistry and Molecular Biology.2022; 11(3): 471.     CrossRef
  • Improvement in the Assessment of Response to Preoperative Chemoradiotherapy for Rectal Cancer Using Magnetic Resonance Imaging and a Multigene Biomarker
    Eunhae Cho, Sung Woo Jung, In Ja Park, Jong Keon Jang, Seong Ho Park, Seung-Mo Hong, Jong Lyul Lee, Chan Wook Kim, Yong Sik Yoon, Seok-Byung Lim, Chang Sik Yu, Jin Cheon Kim
    Cancers.2021; 13(14): 3480.     CrossRef
  • Addition of V-Stage to Conventional TNM Staging to Create the TNVM Staging System for Accurate Prediction of Prognosis in Colon Cancer: A Multi-Institutional Retrospective Cohort Study
    Jung Hoon Bae, Ji Hoon Kim, Jaeim Lee, Bong-Hyeon Kye, Sang Chul Lee, In Kyu Lee, Won Kyung Kang, Hyeon-Min Cho, Yoon Suk Lee
    Biomedicines.2021; 9(8): 888.     CrossRef
  • Gene Expression Profiles Associated with Radio-Responsiveness in Locally Advanced Rectal Cancer
    Jeeyong Lee, Junhye Kwon, DaYeon Kim, Misun Park, KwangSeok Kim, InHwa Bae, Hyunkyung Kim, JoonSeog Kong, Younjoo Kim, UiSup Shin, EunJu Kim
    Biology.2021; 10(6): 500.     CrossRef
  • A Patient-Derived Organoid-Based Radiosensitivity Model for the Prediction of Radiation Responses in Patients with Rectal Cancer
    Misun Park, Junhye Kwon, Joonseog Kong, Sun Mi Moon, Sangsik Cho, Ki Young Yang, Won Il Jang, Mi Sook Kim, Younjoo Kim, Ui Sup Shin
    Cancers.2021; 13(15): 3760.     CrossRef
  • Comparison between Local Excision and Radical Resection for the Treatment of Rectal Cancer in ypT0-1 Patients: An Analysis of the Clinicopathological Factors and Survival Rates
    Soo Young Oh, In Ja Park, Young IL Kim, Jong-Lyul Lee, Chan Wook Kim, Yong Sik Yoon, Seok-Byung Lim, Chang Sik Yu, Jin Cheon Kim
    Cancers.2021; 13(19): 4823.     CrossRef
  • Comparison of Vascular Invasion With Lymph Node Metastasis as a Prognostic Factor in Stage I-III Colon Cancer: An Observational Cohort Study
    Jung Hoon Bae, Ji Hoon Kim, Bong-Hyeon Kye, Abdullah Al-Sawat, Chul Seung Lee, Seung-Rim Han, In Kyu Lee, Sung Hak Lee, Yoon Suk Lee
    Frontiers in Surgery.2021;[Epub]     CrossRef
  • Clinicopathological significance of Ki67 expression in colorectal cancer
    Jing Li, Zhi-ye Liu, Hai-bo Yu, Qing Xue, Wen-jie He, Hai-tao Yu
    Medicine.2020; 99(20): e20136.     CrossRef
  • Lateral lymph node and its association with distant recurrence in rectal cancer: A clue of systemic disease
    Young Il Kim, Jong Keon Jang, In Ja Park, Seong Ho Park, Jong Beom Kim, Jin-Hong Park, Tae Won Kim, Jun-Soo Ro, Seok-Byung Lim, Chang Sik Yu, Jin Cheon Kim
    Surgical Oncology.2020; 35: 174.     CrossRef
  • Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer
    Borim Ryu, Eunsil Yoon, Seok Kim, Sejoon Lee, Hyunyoung Baek, Soyoung Yi, Hee Young Na, Ji-Won Kim, Rong-Min Baek, Hee Hwang, Sooyoung Yoo
    Journal of Medical Internet Research.2020; 22(12): e18526.     CrossRef
Original Articles
Fine Needle Aspiration Cytology of Solid and papillary Neoplasm of the Pancreas: Report of a Case.
Mee Yon Cho, Kwang Gil Lee, Kyi Beom Lee, Hyeun Joo Jeong, Woo Hee Jung
Korean J Cytopathol. 1990;1(1):85-92.
  • 1,473 View
  • 21 Download
AbstractAbstract PDF
We present the cytologic features of a case of solid and papillary neoplasm of the pancreas. Cytologically, the tumor was composed of a monotonous population of polygonal cells containing ecentrically located round nuclei with one or two distinct small nucleoli and a finely stippled chromatin pattern. The tumor cells were similar to those of the islet cell tumor and showed isolated loosety aggregated and solid sheedts or large cell clumps. The large cell clumps revealed a branching papillary structure containing fibrovascular central core, which is characteristic histologic feature of solid and papillary neoplasm of the pancreas. The case was confirmed by tissue examination including histochemical immunohistochemical and electron microscopical studies. Utrastructurally, the tumor cells contanined a few membrane-bound electron dense granules.
Fine needle aspiration cytology of malignant thymoma: two cases of invasive thymoma and thymic carcinoma.
Mee Yon Cho, Young Nyun Park, Kwang Gil Lee
Korean J Cytopathol. 1991;2(1):36-42.
  • 1,744 View
  • 17 Download
AbstractAbstract PDF
We report 4 cases of malignant thymoma which were composed of 2 cases of invasive thymoma and 2 cases of thymic carcinoma. The cytologic findings of invasive thymoma were similar to those of benign thymoma. The distinctive cytologic features of thymic carcinoma were necrotic background, irregular clusters and individually scattered arrangement of anaplastic epithelial cells, and some scattered mature small lymphocytes. These findings may be found in the Hodgkin'slymphoma, seminoma, and metastatic squamous cell carcinoma, undifferentiated carcinoma, and large cell carcinoma of the. lung. But, the feature of irregular clustering of anaplastic epithelial cell having scanty cytoplasm was different from Hodgkin'slymphoma and seminoma. Clinical and radiologic findings as well as cytologic finding were helpful in differential diagnosis of thymic carcinoma from metastatic carcinoma.
Genetic Analysis of Epstein-Barr Virus Latent Membrane Protein 1 and Immunohistochemical Expression of Transforming Growth Factor (TGF)-beta1, TGF-betaRII, p21, p16, E2F1, Thymidylate Synthase, and NF-kappaB in Epstein-Barr Virus Encoded RNA-positive Gastric Adenocarcinoma
Mee Yon Cho, Minseob Eom, Kwang Hwa Park, Mee Dong Kim, Seung Hoon Sung, Myoung Soo Kim, Dae Sung Kim, Sun Ju Choi
Korean J Pathol. 2006;40(3):176-184.
  • 1,706 View
  • 21 Download
AbstractAbstract PDF
BACKGROUND
:Although clinicopathologic differences have been described between Epstein-Barr virus (EBV)-positive and negative gastric adenocarcinomas, the pathogenetic basis for these differences remains unclear. In this study, efforts were made to confirm that expression of EBV-latent membrane protein (LMP1) and immunohistochemical characteristics of EBVpositive gastric adenocarcinomas.
METHODS
We investigated genomic deletion, and RNA & protein expression of the EBV-LMP1, as well as immunohistochemical protein expression of transforming growth factor (TGF)-beta1, TGF-bata RII, p21, p16, E2F1, thymidylate synthase, and NF-kappaB in relation to EBV positive gastric adenocarcinoma.
RESULTS
A total of 38 Epstein-Barr Virus Encoded RNA-positive and 80 negative gastric carcinomas were examined. A 30 bp DNA deletion in the EBV-LMP1 gene, initiating at codon 342, was detected in 94.4% of EBVpositive cases. By RT-PCR and western blotting, EBV-LMP1 mRNA and protein expressions were absent in all cases, re-gardless of DNA deletion. No significant differences in TGF-bata1, TGF-betaRII, p21, NF-kappaB, E2F1, or thymidylate synthase expression were identified. However, the decreased expression of p16 was found in 84.2% of EBV-positive carcinomas, relative to only 57.5% of EBV-negative tumors (p=0.024).
CONCLUSION
EBV-LMP1 DNA deletion, mRNA and protein losses are highly prevalent in EBV-positive gastric adenocarcinoma among Korean patients, along with decreased p16 expression.
CpG Island Methylation According to the Histologic Patterns of Early Gastric Adenocarcinoma.
Junjeong Choi, Mee Yon Cho, So Young Jung, Khalilullah Mia Jan, Hyun Soo Kim
Korean J Pathol. 2011;45(5):469-476.
DOI: https://doi.org/10.4132/KoreanJPathol.2011.45.5.469
  • 3,368 View
  • 21 Download
  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
Although the importance of aberrant DNA methylation in the development of gastric adenocarcinoma has been described, the mechanism of pathogenesis has not been revealed yet. We quantitatively analyzed methylation of four CpG islands and one repetitive DNA element, according to the histologic features of adenocarcinoma with precursor lesions.
METHODS
We divided the cases as adenocarcinoma with intestinal type precursors (type A, n=19 cases) and adenocarcinoma with diffuse type precursors (type B, n=19 cases). We micro-dissected tumor cells and matched non-neoplastic gastric mucosa from the hematoxylin and eosin-stained slides.
RESULTS
A total of 20 CpG sites of long interspersed nucleotide element-1 (LINE1), RAR-related orphan receptor alpha (RORA), Kruppel-like factor 7 (KLF7), mutL homolog 1 (MLH1), MINT25, and CD133 were analyzed. Methylation was determined by bisulfate-pyro-sequencing, and hypomethylation of LINE1 and CD133 was noted in the tumors, compared to the levels in the non-neoplastic gastric mucosa (p=0.014 and p=0.015, respectively). A statistically different methylation pattern of CpG sites at CD133 and KLF7 was noted only in type B lesions, compared to that in matched non-neoplastic gastric mucosa (p=0.027 and p=0.043, respectively).
CONCLUSIONS
Given that aberrant methylation occurs in a relatively early phase of carcinogenesis, different patterns of methylation may determine the carcinoma phenotype. However, further large-scale study is required to clarify the significance of this difference.

Citations

Citations to this article as recorded by  
  • Molecular function of Krüppel-like factor 7 in biology
    Yi Mao, Yuechan Chen, Zhiwei Zhang
    Acta Biochimica et Biophysica Sinica.2023; 55(5): 713.     CrossRef
  • DNA methylation status of a distinctively different subset of genes is associated with each histologic Lauren classification subtype in early gastric carcinogenesis
    YOSEP CHONG, KHALILULLAH MIA-JAN, HOON RYU, JAMSHID ABDUL-GHAFAR, JIJGEE MUNKHDELGER, SAYAMAA LKHAGVADORJ, SO YOUNG JUNG, MIRA LEE, SUN-YOUNG JI, EUNHEE CHOI, MEE-YON CHO
    Oncology Reports.2014; 31(6): 2535.     CrossRef
Telomerase Activity in Urethane-Induced Mouse Lung Tumorigenesis.
Ji Sun Song, Soon Hee Jung, Sang Yeop Yi, Hwa Eun Oh, Mee Yon Cho, Kwang Hwa Park
Korean J Pathol. 2011;45(3):261-270.
DOI: https://doi.org/10.4132/KoreanJPathol.2011.45.3.261
  • 3,060 View
  • 24 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
Telomerase activity in precancerous conditions of lung adenocarcinomas has not been well studied. This study is designed to investigate the role of telomerase in premalignant lesions of urethane-induced mouse lung adenocarcinoma.
METHODS
We harvested A/J mouse lung tissues at 3, 6, 9, 12, 28, 41, and 48 weeks after intraperitoneal urethane treatment, and classified each lesion in terms of histologic findings. We examined telomerase activity using a modified version of the telomeric repeat amplification protocol assay using both gel-based and enzyme linked immunosorbent assay methods. An immunohistochemical analysis of proliferating cell nuclear antigen (PCNA) was performed.
RESULTS
In urethane-induced mouse lung tissues, it was sequentially developed from hyperplasia, adenoma, and eventually to adenocarcinoma. Telomerase activity began to show a positive level in tissues with no histologically visible nodule after urethane administration. It revealed a statistically significant increase in hyperplasia compared to the "control" lung tissue (p<0.05), which was proportionally elevated relative to adenoma and adenocarcinoma. There was a direct correlation between telomerase activity and the PCNA labeling index (p<0.05).
CONCLUSIONS
The elevation of telomerase activity in normal-appearing lung lesions is thought to be a possible marker of early detection of pulmonary adenocarcinoma.

Citations

Citations to this article as recorded by  
  • Non-invasive quantification of cell-free DNA mutations in plasma during lung tumor progression in mice
    Soo-Jin Kim, Eunhee Kim, Kyung-Taek Rim
    Cancer Biomarkers.2017; 20(4): 477.     CrossRef
Case Report
First Report of a Gangliocytic Paraganglioma Arising in a Tailgut Cyst.
Yosep Chong, Mee Yon Cho
Korean J Pathol. 2010;44(4):435-440.
DOI: https://doi.org/10.4132/KoreanJPathol.2010.44.4.435
  • 3,436 View
  • 24 Download
  • 2 Crossref
AbstractAbstract PDF
Here we present the first report of a gangliocytic paraganglioma arising in a tailgut cyst; it occurred in a 56-year-old man. Tailgut cysts are uncommon congenital hamartomatous lesions that arise in the retrorectal presacral space in infants or adults. Benign or malignant tumors associated with tailgut cysts are rarely described; the most common tumors are adenocarcinomas and carcinoid tumors. A gangliocytic paraganglioma is a rare benign tumor that occurs nearly exclusively in the second portion of the duodenum. Rare cases have been reported at other locations, but a tailgut cyst has never been described. In our case, a resected 3.9 x 3.3 x 3 cm mass was composed predominantly of a solid yellow white neuroendocrine tumor within the area of a tailgut cyst. The neuroendocrine component of this tumor was different from previously described carcinoid tumors with respect to the histologic findings of neural differentiation as well as the intermixed typical gangliocytic features highlighted by immunohistochemical stains for S-100 protein and neurofilament. Although an intermixed area of the tailgut cyst and gangliocytic paraganglioma were found in some areas, the pathogenesis of this tumor remains to be elucidated.

Citations

Citations to this article as recorded by  
  • Diagnosis of Tailgut Cyst in Gynecologic Patients: Systematic Review of the Literature
    Polina Schwarzman, Salvatore Andrea Mastrolia, Yael Sciaky-Tamir, Joel Baron, Boaz Sheizaf, Giuseppe Trojano, Reli Hershkovitz
    Journal of Endometriosis and Pelvic Pain Disorders.2017; 9(3): 168.     CrossRef
  • Fine Needle Aspiration Cytology Diagnosis of Tailgut Cyst: A Rare Entity
    Farhan Asif Siddiqui, Rajan Chopra, Yusef Al-Marzooq
    Acta Cytologica.2014; 58(2): 217.     CrossRef
Original Articles
p53 Protein Expression in Infiltrating Ductal Carcinoma of the Breast.
Soon Hee Jung, Mee Yon Cho, Soo Yong Kim
Korean J Pathol. 1996;30(1):7-14.
  • 1,636 View
  • 22 Download
AbstractAbstract PDF
Overexpression of the nuclear phosphoprotein p53 is the most common genetic anomaly found in primary human cancer and mutation of the tumor suppressor gene p53 has been identified in breast cancer cell lines. In this study, we evaluated the prognostic significance of p53 protein expression in patients with mammary infiltrating ductal carcinoma and its correlation with histopathologic grade, lymph node status, tumor size, p53 protein expression and survival. Among 53 cases, p53 protein expression was detected in 26(49.1%) cases by immunohistochemistry. There was no correlation between p53 protein overexpression and histopathologic grade(p=0.09) or lymph node status(p=0.38) and between survival and histopathologic grade (p=0.68) or lymph node status(p=0.52). However, p53 protein expression was significantly correlated with survival(p=0.01) and patients with p53 protein-positive tumors showed poorer survival times. But Cox multivariate analysis showed the lymph node status is significant(p=0.01). The authors conclude that the presence of mutant p53 protein and lymph node status may serve a prognostic role, in a subset of mammary infiltrating ductal carcinoma cases.
Immunohistochemical Sdtudy of Cytokeratin and Epithelial Membrane Antigen Expression in Osteosarcoma.
Jong Yup Bae, Mee Yon Cho, Soon Hee Jung
Korean J Pathol. 1996;30(10):920-927.
  • 2,320 View
  • 40 Download
AbstractAbstract PDF
Immunohistochemical analysis of 24 paraffin-embedded osteosarcomas was studied to evaluate the expression of simple cytokeratin, basal cytokeratin and epithelial membrane antigen(EMA) according to the histologic subtypes and anatomical locations. Mean age of the patients was 18 years. Anatomical locations of the tumors were femur(8), tibia(10), humerus(4), lumbar spine(1), and zygomatic arch(1). Histologic subtypes included osteoblastic(14), fibroblastic(4), chondroblastic(4), epithelioid(1), and mixed osteoblastic and fibroblastic(1). All were positive in the immunohistochemical stain for vimentin. The expression of cytokeratin and/or EMA was found in 10 cases(41.7%) regardless of anatomical locations and histologic subtypes. Positive immunoreaction for EMA was demonstrated in osteoblastic(5), chondroblastic(2), epithelioid(1), and mixed osteoblastic and fibroblastic(1) types. Osteoblastic (2), chondroblastic(2), and epithelioid(1) types among them also showed immunoreactivity with anti-simple cytokeratin monoclonal antibody, NCL-5D3. The expression of basal cytokeratin (NCL-LL002) was found in two osteoblastic, one chondroblastic, one epithelioid, and one mixed osteoblastic and fibroblastic types. These findings indicate that cytokeratin and EMA immunoreactivity can not be regarded as an absolute specific marker of the epithelial origin of tumor and may also occur in osteosarcoma.
Histopathologic Re-evaluation of Thymoma with Immunonhistochemical Study for bcl-2 and MIC-2 Protein.
Kyung Moo Yang, Mee Yon Cho, Soon Won Hong, Tae Seung Kim, Chan Il Park, Woo Ick Yang
Korean J Pathol. 1997;31(5):446-461.
  • 1,683 View
  • 24 Download
AbstractAbstract PDF
We reviewed 86 thymic epithelial tumors and reclassified them according to the Kirchner and Muller- Hermelink classification. They were subtyped as medullary, mixed, predominantly cortical (organoid), cortical, well differentiated thymic carcinoma, and poorly differentiated thymic carcinoma. The frequency of each subtype was determined and histologic findings were related to stage and myasthenia gravis. Immunohistochemical stains for bcl-2 protein as a marker for medullary thymocytes and MIC-2 protein as a marker for cortical thymocytes were performed in each case. The stages and association of myasthenia gravis was significantly different in each subtypes. The results of this study demonstrate that this histogenetic classification is clinically applicable. The bcl-2 protein was specifically demonstrated in lymphocytes within areas of medullary differentiation and MIC-2 protein in cortical differentiation. The expression of bcl-2 and MIC-2 proteins lend histogenetic support for this new classification of thymoma. Bcl-2 protein is strongly expressed in tumor epithelial cells of every case of poorly differentiated thymic carcinoma whereas the other types of thymic epithelial tumors do not show epithelial expression of this protein. The strong expression of bcl-2 protein in tumor epithelium may be considered as a predictor of aggressive behavior in thymic epithelial tumors.
Flow Cytometric DNA Analysis of Gastrointestinal Stromal Tumors .
Mee Yon Cho, Soon Won Hong, Soon Hee Jung, Hogeun Kim, Chanil Park
Korean J Pathol. 1997;31(7):608-616.
  • 1,625 View
  • 23 Download
AbstractAbstract PDF
To evaluate the correlation between the histologic grade and DNA ploidy or proliferation index/S phase fraction (SPF) of gastrointestinal stromal tumors, we performed the DNA analysis using the flow cytometry. Paraffin embedded tissue samples of 57 gastrointestinal stromal tumors were used. The sites of the tumors were: stomach (28), small intestine (23), and large intestine(6). DNA index, proliferative index, and SPF by the flow cytomery were compared with histologic grade. The histologic grade of the gastric tumors were benign (12), borderline (10), and malignant (6). Those of the small intestinal timors were benign (2), borderline (13), and malignant(8). The large intestine were borderline (2), and malignant (4). In stomach, aneuploidy was found in 25.0% of benign, 40.0% of borderline, and 100% of malignant. And there was statistically significant correlation between the histologic grade and ploidy (p < 0.05). By contrast, small and large intestinal tumors showed more frequent aneuploidy in benign than in malignant. The proliferative index was correlated with the histologic grade in gastric tumors (p<0.05), but the SPF was not. In conclusion, the ploidy and proliferative index of gastric tumors are closely correlated to the histologic grade. However, aneuploidy in tumors of the small and large intestine were difficult to predict the malignancy.
p53 Mutation and Expression of Rb Protein in Germ Cell Tumors.
Ju Han Lee, Mee Yon Cho, Hae Hyeog Lee, Bom Woo Yeom, Nam Hee Won
Korean J Pathol. 1998;32(12):1074-1080.
  • 1,626 View
  • 10 Download
AbstractAbstract
We investigated the role of the tumor suppressor genes in the germ cell tumor. Immunohistochemistry (IHC) and polymerase chain reaction-single strand conformational polymorphism (PCR-SSCP) for p53 mutation were done in 46 cases of the germ cell tumor with paraffin embedded tissue. The immunohistochemical staining for Rb protein was also performed in the same specimens. The following results were obtained. The overexpression of the p53 protein was detected in 7 of 46 cases (15%). p53 mutation by PCR-SSCP was detected in 1 of 46 cases (2.2%). Expression of Rb protein was negative in 19 cases (41%). These results suggest that p53 mutation does not play an important role in the initiation and progression of germ cell tumors.
Case Report
Small Cell Osteosarcoma Similar to Ewing's Sarcoma in Histologic Findings and MIC2 Expression: A case report.
Yoon Mee Kim, Suk Woo Yang, Mee Yon Cho, Soon Won Hong, Byung Ho Choi
Korean J Pathol. 1999;33(3):204-209.
  • 1,808 View
  • 27 Download
AbstractAbstract PDF
Small cell osteosarcoma is a rare form of osteosarcoma and the histological differential diagnosis from other small round cell tumors (SRCTs) is difficult. The immunohistochemical stain for MIC2 has been considered an useful diagnostic marker for Ewing's sarcoma and primitive neuroectodermal tumors but recently, other SRCTs such as malignant lymphoma and embryonal rhabdomyosarcoma also showed positive reaction. Therefore, the usefulness of MIC2 must still be proven. We experienced a case of small cell osteosarcoma of the mandible in a 25-year-old man. Histologically, the tumor consisted of small round cells that resembled those of Ewing's sarcoma. Immunohistochemically, the tumor cells expressed diffuse strong positive reaction for MIC2 gene products. However, the scanty foci of lacy osteoid material between the tumor cells seemed to be diagnostic of osteosarcoma. The histologic and immunohistochemical findings of this case suggest close relationship between small cell osteosarcoma and Ewing's sarcoma.
Original Article
Immunohistochemical Analysis of Transforming Growth Factor (TGF)-beta1 and TGF-beta Receptor II and Quantitative Analysis of TGF-beta1 mRNA during Multistep Hepatocarcinogenesis Induced by Diethylnitrosamine in Sprague-Dawley Rats.
Mee Yon Cho, Ju Han Lee, Yong Koo Kang, Nam Hee Won
Korean J Pathol. 1999;33(11):1009-1023.
  • 1,763 View
  • 38 Download
AbstractAbstract PDF
Transforming growth factor (TGF)-beta1 plays an important role in hepatocarcinogenesis and has been described as a useful tumor marker and one of the poor prognostic indicators in patients with hepatocellular carcinoma (HCC). To investigate the role and cellular localization of TGF-beta1 during multistep hepatocarcinogenesis we performed a quantitative analysis of TGF-beta1 mRNA and immunohistochemical expression of TGF-beta1 and TGF-beta receptor II (TGF-betarII) in female Sprague-Dawley rats. The experimental groups included neoplastic lesions produced by Solt-Farber's protocol, regenerating liver after partial hepatectomy, and normal control. Quantitative change of TGF-beta1 mRNA was analysed by competitive reverse-transcription polymerase chain reaction (RT-PCR). TGF-beta1 protein and TGF-betarII expression were evaluated by immunohistochemical stain. The discrete tumor nodules were detected on 14th day and then increased in number and size. Three HCCs were induced on 8th or 9th month. RT-PCR demonstrated TGF-beta1 mRNA band in all examples of the normal and regenerating liver, nodules and HCCs. Competitive RT-PCR displayed higher TGF-beta1 mRNA in nodules, HCCs and regenerating liver than in normal controls. Hepatocytes from control and regenerating livers showed weak immunoreactivity for TGF-beta1. In contrast, the cytoplasm of hepatocytes of nodules in 7th, 8th and 9th month and HCCs were intensely stained for TGF-beta1. Some sinusoidal cells showed immunoreactivity for TGF-beta1 in all experimental groups. In early phase of carcinogenesis, the cytoplasm of hepatocytes in liver of 12h, 1d and 3d showed transiently increased immunoreactivity for TGF-beta1 and The immunoreactivity decreased thereafter. TGF-beta1 mRNA was also detected in the neoplastic hepatocytes by in-situ hybridization. Although TGF-betarII expression was correlated with TGF-beta1 immunoreactivity during early phase of carcinogenesis, hepatocytes in most nodules in 7th, 8th, 9th month and carcinomas showed decreased or little immunoreactivity for TGF-betarII. Based on the above results, it is concluded that TGF-beta1 expression increases not only in precancerous nodules but also in HCCs and its increase seems to be correlated with decrease or loss of TGF-betarII expression although its mechanism remains unclear. Hepatocytes may be a major cellular source of TGF-beta1 during hepatocarcinogenesis.

J Pathol Transl Med : Journal of Pathology and Translational Medicine
TOP