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Heounjeong Go 6 Articles
Upward trend in follicular lymphoma among the Korean population: 10-year experience at a large tertiary institution
Meejeong Kim, Hee Sang Hwang, Hyungwoo Cho, Dok Hyun Yoon, Cheolwon Suh, Chan Sik Park, Heounjeong Go, Jooryung Huh
J Pathol Transl Med. 2021;55(5):330-337.   Published online September 2, 2021
DOI: https://doi.org/10.4132/jptm.2021.07.25
  • 2,106 View
  • 84 Download
  • 2 Citations
AbstractAbstract PDFSupplementary Material
Background
Follicular lymphoma (FL) is the second most common non-Hodgkin lymphoma (NHL) in Western countries. However, it is relatively rare in Asia. This study examined epidemiologic characteristics of FL in South Korea, with an emphasis on recent trends of increase in cases.
Methods
We retrospectively examined 239 cases of newly diagnosed FL at a large tertiary institution in Korea (Asan Medical Center, Seoul, Republic of Korea) between 2008 and 2017. Age-adjusted incidence rates and clinicopathological variables were analyzed, and joinpoint regression analysis was used to identify the changes.
Results
The age-adjusted incidence of FL significantly increased during the study period (p = .034), and the ratio of (relative incidence) patients with FL to patients with NHL increased from 4.28% to 9.35% in the same period. Over the 10-year study assessment duration, the proportion of patients with stage III/IV FL (p = .035) and expression of BCL2 (p = .022) or BCL6 (p = .039) significantly increased. From 2013–2017, the proportion of patients with highrisk Follicular Lymphoma International Prognostic Index (FLIPI) score increased (21.5% to 28.7%), whereas that of low-risk FLIPI decreased (55.4% to 38.6%), although those results were not statistically significant (p = .066).
Conclusions
We found an increasing incidence of FL, with a disproportionate increase in the incidence of high-stage disease and recent changes in the clinicopathologic features of the Korean patient population.

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  • Incidence Trend of Follicular Lymphoma in Taiwan Compared to Japan and Korea, 2001–2019
    Liang-Chun Chiu, Chih-Wen Lin, Hung-Ju Li, Jian-Han Chen, Fu-Cheng Chuang, Sheng-Fung Lin, Yu Chang, Yu-Chieh Su
    Journal of Clinical Medicine.2023; 12(4): 1417.     CrossRef
  • Incidence, clinicopathological features and genetics of in‐situ follicular neoplasia: a comprehensive screening study in a Japanese cohort
    Naoki Oishi, Takahiro Segawa, Kunio Miyake, Kunio Mochizuki, Tetsuo Kondo
    Histopathology.2022; 80(5): 820.     CrossRef
Introduction to digital pathology and computer-aided pathology
Soojeong Nam, Yosep Chong, Chan Kwon Jung, Tae-Yeong Kwak, Ji Youl Lee, Jihwan Park, Mi Jung Rho, Heounjeong Go
J Pathol Transl Med. 2020;54(2):125-134.   Published online February 13, 2020
DOI: https://doi.org/10.4132/jptm.2019.12.31
  • 12,677 View
  • 514 Download
  • 40 Citations
AbstractAbstract PDF
Digital pathology (DP) is no longer an unfamiliar term for pathologists, but it is still difficult for many pathologists to understand the engineering and mathematics concepts involved in DP. Computer-aided pathology (CAP) aids pathologists in diagnosis. However, some consider CAP a threat to the existence of pathologists and are skeptical of its clinical utility. Implementation of DP is very burdensome for pathologists because technical factors, impact on workflow, and information technology infrastructure must be considered. In this paper, various terms related to DP and computer-aided pathologic diagnosis are defined, current applications of DP are discussed, and various issues related to implementation of DP are outlined. The development of computer-aided pathologic diagnostic tools and their limitations are also discussed.

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    Bogdan-Alexandru Gheban, Horaţiu Alexandru Colosi, Ioana-Andreea Gheban-Roșca, Carmen Georgiu, Dan Gheban, Doiniţa Crişan, Maria Crişan
    Acta Histochemica.2022; 124(4): 151897.     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
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    Cancers.2022; 14(11): 2590.     CrossRef
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    Veronika Shavlokhova, Michael Vollmer, Patrick Gholam, Babak Saravi, Andreas Vollmer, Jürgen Hoffmann, Michael Engel, Christian Freudlsperger
    Journal of Personalized Medicine.2022; 12(9): 1471.     CrossRef
  • Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images
    JaeYen Song, Soyoung Im, Sung Hak Lee, Hyun-Jong Jang
    Diagnostics.2022; 12(11): 2623.     CrossRef
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    Faridul Haq, Andrey Bychkov, Chan Kwon Jung
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    Soo Jeong Nam, Yosep Chong, Chan Kwon Jung, Tae-Yeong Kwak, Ji Youl Lee, Jihwan Park, Mi Jung Rho, Heounjeong Go
    Applied Sciences.2021; 11(16): 7380.     CrossRef
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    M. A. Aswathy, M. Jagannath
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    Journal of Pathology and Translational Medicine.2020; 54(6): 437.     CrossRef
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Multistaining Optimization for Epstein-Barr Virus–Encoded RNA In Situ Hybridization and Immunohistochemistry of Formalin-Fixed Paraffin-Embedded Tissues Using an Automated Immunostainer
Jae Nam Ko, Jin Kyoung Jung, Yun Ik Park, Hwa Jeong Shin, Jooryung Huh, Sol Back, Yu Jin Kim, Jae Ho Kim, Heounjeong Go
J Pathol Transl Med. 2019;53(5):317-326.   Published online August 27, 2019
DOI: https://doi.org/10.4132/jptm.2019.08.06
  • 5,273 View
  • 98 Download
  • 1 Citations
AbstractAbstract PDFSupplementary Material
Background
Single staining is commonly performed for practical pathologic diagnoses. However, this method is limited in its ability to specify cellular morphology and immunophenotype and often requires consumption of limited tissue. This study aimed to describe an optimized protocol for multiple in situ hybridization (ISH) and immunohistochemistry (IHC).
Methods
The quality of multistaining was evaluated by carefully changing each step of ISH and IHC in an angioimmunoblastic T-cell lymphoma (AITL) case on a Ventana BenchMark XT automated immunostainer. The optimized protocols were also performed using another immunostainer and in 15 cases of five Epstein-Barr virus (EBV)–associated malignancies using formalin-fixed paraffin-embedded tissue.
Results
The quality of various ISHIHC staining protocols was semi-quantitatively evaluated. The best EBV-encoded RNA (EBER)-ISH/double IHC staining quality, equivalent to single staining, was obtained using the following considerations: initial EBER-ISH application, use of protease and antigen retrieval reagent (cell conditioning 1 [CC1] treatment time was minimized due to impact on tissue quality), additional baking/ deparaffinization not needed, and reduced dilution ratio and increased reaction time for primary antibody compared with single immunostaining. Furthermore, shorter second CC1 treatment time yielded better results. Multiple staining was the best quality in another immunostainer and for different types of EBV-associated malignancies when it was performed in the same manner as for the Ventana BenchMark XT as determined for AITL.
Conclusions
EBER-ISH and double IHC could be easily used in clinical practice with currently available automated immunostainers and adjustment of reagent treatment time, dilution ratio, and antibody reaction time.

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  • Detection of Epstein–Barr Virus in Periodontitis: A Review of Methodological Approaches
    Lilit Tonoyan, Marlène Chevalier, Séverine Vincent-Bugnas, Robert Marsault, Alain Doglio
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Diverse Immunoprofile of Ductal Adenocarcinoma of the Prostate with an Emphasis on the Prognostic Factors
Se Un Jeong, Anuja Kashikar Kekatpure, Ja-Min Park, Minkyu Han, Hee Sang Hwang, Hui Jeong Jeong, Heounjeong Go, Yong Mee Cho
J Pathol Transl Med. 2017;51(5):471-481.   Published online August 9, 2017
DOI: https://doi.org/10.4132/jptm.2017.06.02
  • 7,553 View
  • 184 Download
  • 9 Citations
AbstractAbstract PDF
Background
Ductal adenocarcinoma (DAC) of the prostate is an uncommon histologic subtype whose prognostic factors and immunoprofile have not been fully defined. Methods: To define its prognostic factors and immunoprofile, the clinicopathological features, including biochemical recurrence (BCR), of 61 cases of DAC were analyzed. Immunohistochemistry was performed on tissue microarray constructs to assess the expression of prostate cancer-related and mammalian target of rapamycin (mTOR) signaling-related proteins. Results: During the median follow-up period of 19.3 months, BCR occurred in 26 cases (42.6%). DAC demonstrated a wide expression range of prostate cancer-related proteins, including nine cases (14.8%) that were totally negative for pan-cytokeratin (PanCK) immunostaining. The mTOR signaling-related proteins also showed diverse expression. On univariate analysis, BCR was associated with high preoperative serum levels of prostate-specific antigen (PSA), large tumor volume, predominant ductal component, high Gleason score (GS), comedo-necrosis, high tumor stage (pT), lymphovascular invasion, and positive surgical margin. High expressions of phospho-mTOR (p-mTOR) as well as low expressions of PSA, phospho-S6 ribosomal protein (pS6) and PanCK were associated with BCR. On multivariable analysis, GS, pT, and immunohistochemical expressions of PanCK and p-mTOR remained independent prognostic factors for BCR. Conclusions: These results suggest GS, pT, and immunohistochemical expressions of PanCK and p-mTOR as independent prognostic factors for BCR in DAC. Since DAC showed diverse expression of prostate cancer–related proteins, this should be recognized in interpreting the immunoprofile of DAC. The diverse expression of mTOR-related proteins implicates their potential utility as predictive markers for mTOR targeted therapy.

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Benign Indolent CD56-Positive NK-Cell Lymphoproliferative Lesion Involving Gastrointestinal Tract in an Adolescent
Jaemoon Koh, Heounjeong Go, Won Ae Lee, Yoon Kyung Jeon
Korean J Pathol. 2014;48(1):73-76.   Published online February 25, 2014
DOI: https://doi.org/10.4132/KoreanJPathol.2014.48.1.73
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JPTM : Journal of Pathology and Translational Medicine