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Case Study
Ovarian Gynandroblastoma with a Juvenile Granulosa Cell Tumor Component in a Postmenopausal Woman: A Case Report and Literature Review
Nu Ri Jang, Dae Hyung Lee, Eun Jung Jang, Young Kyung Bae, Jina Baek, Min Hye Jang
J Pathol Transl Med. 2018;52(5):344-348.   Published online July 17, 2018
DOI: https://doi.org/10.4132/jptm.2018.06.28
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  • 133 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Gynandroblastoma is an extremely rare sex cord-stromal tumor with both female (granulosa cell tumor) and male (Sertoli-Leydig cell tumor) elements. Juvenile granulosa cell tumors are also very rare and are so named because they usually occur in children and adolescents. A 71-year-old woman with right upper quadrant abdominal pain visited our hospital. Pelvic computed tomography showed a large multilocular cystic mass, suspected to be of ovarian origin. We performed a total abdominal hysterectomy (total abdominal hysterectomy was performed) with bilateral salpingooophorectomy. A 13-cm multilocular cystic mass with serous fluid was observed in her right ovary. Upon microscopic examination, the solid component of the mass showed both Sertoli-Leydig cell and juvenile granulosa cell differentiation, which we diagnosed as gynandroblastoma. Gynandroblastoma with a juvenile granulosa cell tumor component is extremely rare and, until now, only six cases have been reported in the English literature. We report the first gynandroblastoma with a juvenile granulosa cell tumor component diagnosed in an elderly patient, along with a literature review.

Citations

Citations to this article as recorded by  
  • Ovarian Gynandroblastoma with a Juvenile Granulosa Cell Tumor Component in a Postmenopausal Woman
    Soohyun Hwang, Byoung-Gie Kim, Sang Yong Song, Hyun-Soo Kim
    Diagnostics.2020; 10(8): 537.     CrossRef
  • Clinical and histological criteria for sex cord ovarian stromal tumors
    A. М. Beishembaev, K. I. Zhordania
    Obstetrics, Gynecology and Reproduction.2020; 14(3): 261.     CrossRef
Original Articles
Interobserver Variability of Ki-67 Measurement in Breast Cancer
Yul Ri Chung, Min Hye Jang, So Yeon Park, Gyungyub Gong, Woo-Hee Jung, The Korean Breast Pathology Ki- Study Group
J Pathol Transl Med. 2016;50(2):129-137.   Published online February 15, 2016
DOI: https://doi.org/10.4132/jptm.2015.12.24
  • 9,344 View
  • 108 Download
  • 20 Web of Science
  • 21 Crossref
AbstractAbstract PDF
Background
As measurement of Ki-67 proliferation index is an important part of breast cancer diagnostics, we conducted a multicenter study to examine the degree of concordance in Ki-67 counting and to find factors that lead to its variability. Methods: Thirty observers from thirty different institutions reviewed Ki-67–stained slides of 20 different breast cancers on whole sections and tissue microarray (TMA) by online system. Ten of the 20 breast cancers had hot spots of Ki-67 expression. Each observer scored Ki-67 in two different ways: direct counting (average vs. hot spot method) and categorical estimation. Intraclass correlation coefficient (ICC) of Ki-67 index was calculated for comparative analysis. Results: For direct counting, ICC of TMA was slightly higher than that of whole sections using average method (0.895 vs 0.858). The ICC of tumors with hot spots was lower than that of tumors without (0.736 vs 0.874). In tumors with hot spots, observers took an additional counting from the hot spot; the ICC of whole sections using hot spot method was still lower than that of TMA (0.737 vs 0.895). In categorical estimation, Ki-67 index showed a wide distribution in some cases. Nevertheless, in tumors with hot spots, the range of distribution in Ki-67 categories was decreased with hot spot method and in TMA platform. Conclusions: Interobserver variability of Ki-67 index for direct counting and categorical estimation was relatively high. Tumors with hot spots showed greater interobserver variability as opposed to those without, and restricting the measurement area yielded lower interobserver variability.

Citations

Citations to this article as recorded by  
  • Ki-67 Testing in Breast Cancer: Assessing Variability With Scoring Methods and Specimen Types and the Potential Subsequent Impact on Therapy Eligibility
    Therese Bocklage, Virgilius Cornea, Caylin Hickey, Justin Miller, Jessica Moss, Mara Chambers, S. Emily Bachert
    Applied Immunohistochemistry & Molecular Morphology.2024; 32(3): 119.     CrossRef
  • Predictive Value of Ki-67 Index in Evaluating Sporadic Vestibular Schwannoma Recurrence: Systematic Review and Meta-analysis
    Kunal Vakharia, Hirotaka Hasegawa, Christopher Graffeo, Mohammad H. A. Noureldine, Salomon Cohen-Cohen, Avital Perry, Matthew L. Carlson, Colin L. W. Driscoll, Maria Peris-Celda, Jamie J. Van Gompel, Michael J. Link
    Journal of Neurological Surgery Part B: Skull Base.2023; 84(02): 119.     CrossRef
  • Venous invasion and lymphatic invasion are correlated with the postoperative prognosis of pancreatic neuroendocrine neoplasm
    Sho Kiritani, Junichi Arita, Yuichiro Mihara, Rihito Nagata, Akihiko Ichida, Yoshikuni Kawaguchi, Takeaki Ishizawa, Nobuhisa Akamatsu, Junichi Kaneko, Kiyoshi Hasegawa
    Surgery.2023; 173(2): 365.     CrossRef
  • Automated Molecular Subtyping of Breast Carcinoma Using Deep Learning Techniques
    S. Niyas, Ramya Bygari, Rachita Naik, Bhavishya Viswanath, Dhananjay Ugwekar, Tojo Mathew, J Kavya, Jyoti R Kini, Jeny Rajan
    IEEE Journal of Translational Engineering in Health and Medicine.2023; 11: 161.     CrossRef
  • Grade Progression and Intrapatient Tumor Heterogeneity as Potential Contributors to Resistance in Gastroenteropancreatic Neuroendocrine Tumors
    Diana Grace Varghese, Jaydira Del Rivero, Emily Bergsland
    Cancers.2023; 15(14): 3712.     CrossRef
  • Diagnostic Role and Prognostic Impact of PSAP Immunohistochemistry: A Tissue Microarray Study on 31,358 Cancer Tissues
    Laura Sophie Tribian, Maximilian Lennartz, Doris Höflmayer, Noémi de Wispelaere, Sebastian Dwertmann Rico, Clara von Bargen, Simon Kind, Viktor Reiswich, Florian Viehweger, Florian Lutz, Veit Bertram, Christoph Fraune, Natalia Gorbokon, Sören Weidemann, C
    Diagnostics.2023; 13(20): 3242.     CrossRef
  • AI-Powered Segmentation of Invasive Carcinoma Regions in Breast Cancer Immunohistochemical Whole-Slide Images
    Yiqing Liu, Tiantian Zhen, Yuqiu Fu, Yizhi Wang, Yonghong He, Anjia Han, Huijuan Shi
    Cancers.2023; 16(1): 167.     CrossRef
  • Expression of estrogen and progesterone receptors, HER2 protein and Ki-67 proliferation index in breast carcinoma in both tumor tissue and tissue microarray
    UP Hacısalihoğlu, MA Dogan
    Biotechnic & Histochemistry.2022; 97(4): 298.     CrossRef
  • Diffusive Ki67 and vimentin are associated with worse recurrence-free survival of upper tract urothelial carcinoma: A retrospective cohort study from bench to bedside
    Che Hsueh Yang, Wei Chun Weng, Yen Chuan Ou, Yi Sheng Lin, Li Hua Huang, Chin Heng Lu, Tang Yi Tsao, Chao Yu Hsu, Min Che Tung
    Urologic Oncology: Seminars and Original Investigations.2022; 40(3): 109.e21.     CrossRef
  • Should Ki-67 be adopted to select breast cancer patients for treatment with adjuvant abemaciclib?
    P. Tarantino, H.J. Burstein, N.U. Lin, I.E. Krop, E.P. Winer, S.J. Schnitt, E.P. Hamilton, S.A. Hurvitz, H.S. Rugo, G. Curigliano, S.M. Tolaney
    Annals of Oncology.2022; 33(3): 234.     CrossRef
  • A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis
    Tojo Mathew, S. Niyas, C.I. Johnpaul, Jyoti R. Kini, Jeny Rajan
    Biomedical Signal Processing and Control.2022; 76: 103657.     CrossRef
  • Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study
    Matthias Choschzick, Mariam Alyahiaoui, Alexander Ciritsis, Cristina Rossi, André Gut, Patryk Hejduk, Andreas Boss
    Heliyon.2021; 7(7): e07577.     CrossRef
  • Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis
    Fabio Marazzi, Roberto Barone, Valeria Masiello, Valentina Magri, Antonino Mulè, Angela Santoro, Federica Cacciatori, Luca Boldrini, Gianluca Franceschini, Francesca Moschella, Giuseppe Naso, Silverio Tomao, Maria Antonietta Gambacorta, Giovanna Mantini,
    Clinical Breast Cancer.2020; 20(5): e600.     CrossRef
  • Study of Ki-67 index in the molecular subtypes of breast cancer: Inter-observer variability and automated scoring
    Divya Meermira, Meenakshi Swain, Swarnalata Gowrishankar
    Indian Journal of Cancer.2020; 57(3): 289.     CrossRef
  • Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning
    Darshana Govind, Kuang-Yu Jen, Karen Matsukuma, Guofeng Gao, Kristin A. Olson, Dorina Gui, Gregory. E. Wilding, Samuel P. Border, Pinaki Sarder
    Scientific Reports.2020;[Epub]     CrossRef
  • Practical approaches to automated digital image analysis of Ki-67 labeling index in 997 breast carcinomas and causes of discordance with visual assessment
    Ah-Young Kwon, Ha Young Park, Jiyeon Hyeon, Seok Jin Nam, Seok Won Kim, Jeong Eon Lee, Jong-Han Yu, Se Kyung Lee, Soo Youn Cho, Eun Yoon Cho, Irina V. Lebedeva
    PLOS ONE.2019; 14(2): e0212309.     CrossRef
  • Evaluation of Ki-67 Index in Core Needle Biopsies and Matched Breast Cancer Surgical Specimens
    Soomin Ahn, Junghye Lee, Min-Sun Cho, Sanghui Park, Sun Hee Sung
    Archives of Pathology & Laboratory Medicine.2018; 142(3): 364.     CrossRef
  • Assessment of Ki-67 for Predicting Effective Prognosis in Breast Cancer Subtypes
    Sangjung Park, Sunyoung Park, Jungho Kim, Sungwoo Ahn, Kwang Hwa Park, Hyeyoung Lee
    Biomedical Science Letters.2018; 24(1): 9.     CrossRef
  • Quantitative tumor heterogeneity assessment on a nuclear population basis
    Anne‐Sofie Wessel Lindberg, Knut Conradsen, Rasmus Larsen, Michael Friis Lippert, Rasmus Røge, Mogens Vyberg
    Cytometry Part A.2017; 91(6): 574.     CrossRef
  • A comparison of Ki-67 counting methods in luminal Breast Cancer: The Average Method vs. the Hot Spot Method
    Min Hye Jang, Hyun Jung Kim, Yul Ri Chung, Yangkyu Lee, So Yeon Park, William B. Coleman
    PLOS ONE.2017; 12(2): e0172031.     CrossRef
  • A Novel Breast Cancer Index for Prediction of Distant Recurrence in HR+ Early-Stage Breast Cancer with One to Three Positive Nodes
    Yi Zhang, Brock E. Schroeder, Piiha-Lotta Jerevall, Amy Ly, Hannah Nolan, Catherine A. Schnabel, Dennis C. Sgroi
    Clinical Cancer Research.2017; 23(23): 7217.     CrossRef
Review of Medical Advisory Services by the Korean Society of Pathologists from 2003 to 2014
Min Hye Jang, Geon Kook Lee, Han Seong Kim, Wan Seop Kim
J Pathol Transl Med. 2016;50(1):37-44.   Published online November 17, 2015
DOI: https://doi.org/10.4132/jptm.2015.09.18
  • 7,293 View
  • 53 Download
  • 1 Web of Science
AbstractAbstract PDFSupplementary Material
Background
Since 2003, the Korean Society of Pathologists (KSP) has been officially providing medical advisory services (MAS). We reviewed the cases submitted to the KSP between 2003 and 2014. Methods: In total, 1,950 cases were submitted, most by private health insurance companies. The main purposes of the consultations were to clarify the initial diagnoses and to assign a proper disease classification code. We comprehensively reviewed 1,803 consultation cases with detailed information. Results: In spite of some fluctuations, the number of submitted cases has been significantly increasing over the 12 study years. The colon and rectum (40.3%), urinary bladder (14.2%), and stomach (6.9%) were the three most common tissues of origin. The most common diagnoses for each of the three tissues of origin were neuroendocrine tumor (50.7%), non-invasive papillary urothelial carcinoma (70.7%), and adenocarcinoma (36.2%). Regardless of the tissue of origin, neuroendocrine tumor of the digestive system was the most common diagnosis (419 of 1,803). Conclusions: In the current study, we found that pathologic consultations associated with private health insurance accounted for a large proportion of the MAS. Coding of the biologic behavior of diseases was the main issue of the consultations. In spite of the effort of the KSP to set proper guidelines for coding and classification of tumors, this review revealed that problems still exist and will continue to be an important issue.
The Diagnostic Usefulness of HMGA2, Survivin, CEACAM6, and SFN/14-3-3 δ in Follicular Thyroid Carcinoma
Min Hye Jang, Kyeong Cheon Jung, Hye Sook Min
J Pathol Transl Med. 2015;49(2):112-117.   Published online March 12, 2015
DOI: https://doi.org/10.4132/jptm.2015.01.31
  • 7,846 View
  • 70 Download
  • 11 Web of Science
  • 12 Crossref
AbstractAbstract PDF
Background
Follicular thyroid carcinoma (FTC) is the second most common thyroid malignancy and its differential diagnosis includes follicular adenoma (FA) and adenomatous goiter (AG). Several ancillary markers have been suggested to aid in the diagnosis of FTC, but the successful use of these methods still needs to be validated. Methods: In the present study, we verified the immunoexpression of HMGA2, CEACAM6, survivin, and SFN/14-3-3 δ in lesions including 41 AGs, 72 FAs, and 79 FTCs. We evaluated their diagnostic usefulness, combined with galectin 3, Hector Battifora mesothelial 1 (HBME1), cytokeratin 19, and cyclin D1, in diagnosing FTC. Results: The expressions of HBME1 (65.8%) and HMGA2 (55.7%) were significantly higher in FTCs than in FAs and AGs (p<.001 and p=.005, respectively). HBME1 was the only marker that was more frequently expressed in FTCs than in FAs (p=.021) and it was more frequently expressed in follicular neoplasms than in AGs (p<.001). Among the novel markers, the combination of HMGA2 and HBME1 showed the highest sensitivity (72.2%) and specificity (76.1%) for diagnosing FTC. CEACAM6, survivin, and SFN/14-3-3 δ were barely expressed in most cases. Conclusions: Our present results show that only HMGA2 can be beneficial in differentiating FTC using the novel markers.

Citations

Citations to this article as recorded by  
  • HMGA2 promotes nasopharyngeal carcinoma progression and is associated with tumor resistance and poor prognosis
    Xinting Ouyang, Kangxin Li, Jiaqi Wang, Weijian Zhu, Qiang Yi, Jinghua Zhong
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • miR‐98‐5p promotes apoptosis and inhibits migration and cell growth in papillary thyroid carcinoma through Bax/Caspase‐3 by HMGA2
    Kai Qiu, QingJi Xie, Shan Jiang, Ting Lin
    Journal of Clinical Laboratory Analysis.2020;[Epub]     CrossRef
  • High mobility group A protein-2 as a tumor cancer diagnostic and prognostic marker: a systematic review and meta-analysis
    Yen Thi-Hai Pham, Ovie Utuama, Claire E. Thomas, Jong A. Park, Carlo La Vecchia, Harvey A. Risch, Chi Thi-Du Tran, Thanh V. Le, Paolo Boffetta, Leon Raskin, Hung N. Luu
    European Journal of Cancer Prevention.2020; 29(6): 565.     CrossRef
  • Diagnostic performance of HMGA2 gene expression for differentiation of malignant thyroid nodules: A systematic review and meta‐analysis
    Bo Hyun Kim, Seong Jang Kim, Mijin Kim, Sang‐Woo Lee, Shin Young Jeong, Kyoungjune Pak, Keunyoung Kim, In Joo Kim
    Clinical Endocrinology.2018; 89(6): 856.     CrossRef
  • Thyroid follicular adenomas and carcinomas: molecular profiling provides evidence for a continuous evolution
    Geneviève Dom, Sandra Frank, Sebastien Floor, Pashalina Kehagias, Frederick Libert, Catherine Hoang, Guy Andry, Alex Spinette, Ligia Craciun, Nicolas de Saint Aubin, Christophe Tresallet, Frederique Tissier, Frederique Savagner, Samira Majjaj, Ilse Gutier
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    PLOS ONE.2017; 12(3): e0174737.     CrossRef
  • Survivin DEx3 as a biomarker of thyroid cancers: A study at the mRNA and protein level
    Joanna Waligórska-Stachura, Nadia Sawicka-Gutaj, Maciej Zabel, Mirosław Andrusiewicz, Paweł Gut, Agata Czarnywojtek, Marek Ruchała
    Oncology Letters.2017; 13(4): 2437.     CrossRef
  • High-Frequency Ultrasound-Guided Injection for the Generation of a Novel Orthotopic Mouse Model of Human Thyroid Carcinoma
    Adelaide Greco, Sandra Albanese, Luigi Auletta, Peppino Mirabelli, Antonella Zannetti, Crescenzo D'Alterio, Gennaro Di Maro, Francesca Maria Orlandella, Giuliana Salvatore, Andrea Soricelli, Marco Salvatore
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  • The study of galectin-3, Ki-67, ubiquitin, HMGA-2 by polymerase chain reaction in real time (RT-PCR) in the puncture specimens of nodular goiter
    Irina S. Berjozkina, Tat'jana V. Saprina, Anastasija P. Zima, Anna V. Isaeva, Venera N. Latipova, Marat R. Muhamedov, Leonid R. Bazilevich, Oleg S. Popov, Dar'ja A. Skuratovskaja, Kristina A. Jurova, Larisa C. Litvinova
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    Zhuoxing Liu, Kunpeng Wu, Zhixiong Yang, Aibing Wu
    Molecular and Cellular Biochemistry.2015; 409(1-2): 155.     CrossRef
  • Defining the value of CD56, CK19, Galectin 3 and HBME-1 in diagnosis of follicular cell derived lesions of thyroid with systematic review of literature
    Duško Dunđerović, Jasmina Marković Lipkovski, Ivan Boričic, Ivan Soldatović, Vesna Božic, Dubravka Cvejić, Svetislav Tatić
    Diagnostic Pathology.2015;[Epub]     CrossRef
Case Report
Invasive Cribriform Carcinoma Arising in Malignant Phyllodes Tumor of Breast: A Case Report
Yoomi Choi, Kyoung Yul Lee, Min Hye Jang, Hyesil Seol, Sung-Won Kim, So Yeon Park
Korean J Pathol. 2012;46(2):205-209.   Published online April 25, 2012
DOI: https://doi.org/10.4132/KoreanJPathol.2012.46.2.205
  • 6,940 View
  • 47 Download
  • 6 Crossref
AbstractAbstract PDF

Phyllodes tumor is an uncommon fibroepithelial neoplasm of the breast. And it is characterized by expanded stroma with increased cellularity and elongated epithelium-lined clefts. Mammary carcinomas within phyllodes tumors have been rarely reported. To date, however, no reports have described the invasive cribriform carcinoma arising in malignant phyllodes tumor. Here, we report a 62-year-old woman who presented with a large breast mass. Microscopically, the mass was a typical malignant phyllodes tumor showing well developed leaf-like architecture and stromal overgrowth with high cellularity and nuclear pleomorphism. In a portion of the tumor, however, the epithelial component showed a cribriform pattern of proliferation in the absence of myoepithelial cells, suggestive of the invasive cribriform carcinoma. To our knowledge, this is rare and it is difficult to make a differential diagnosis of it. Here, we report our case with a review of literatures.

Citations

Citations to this article as recorded by  
  • Management of Concurrent Malignant Phyllodes Tumor and Invasive Breast Carcinoma
    Jie Jane Chen, Iowis Zhu, Akshat Patel, Gregor Krings, Yunn-Yi Chen, Florence Yuen, Rita A. Mukhtar, Michelle Melisko, Lisa Singer, Catherine C. Park, Nicolas D. Prionas
    Advances in Radiation Oncology.2024; 9(5): 101448.     CrossRef
  • High-grade ductal carcinoma in-situ detected by microcalcification within borderline phyllodes tumor: Report of a case and literature review
    Wing Nam Yuen, Joshua J.X. Li, Man Yi Chan, Gary M. Tse
    Human Pathology Reports.2023; 31: 300697.     CrossRef
  • Cribriform carcinoma arising in a benign phyllodes tumor
    EliaShazniza Shaaya, Nurwahyuna Rosli, Nurismah MD Isa
    Journal of Research in Medical Sciences.2023; 28(1): 16.     CrossRef
  • Unexpectedly High Coexistence Rate of In Situ/Invasive Carcinoma In Phyllodes Tumors. 10-Year Retrospective and Review Study
    Öykü Dila Gemci, Serdar Altınay, Rümeysa İlbar Tartar, Sina Ferahman
    European Journal of Breast Health.2022; 18(4): 343.     CrossRef
  • A Case of Phyllodes Tumor Combined with Lobular Carcinoma of the Breast with Microinvasion
    Daiki IMANISHI, Satoru NODA, Tsutomu TAKASHIMA, Yukie TAUCHI, Shinya NOMURA, Hiroshi OHTANI, Noriko SAKAIDA
    Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association).2022; 83(12): 2049.     CrossRef
  • Invasive ductal carcinoma within borderline phyllodes tumor with lymph node metastases: A case report and review of the literature
    DI WU, HAIPENG ZHANG, LIANG GUO, XU YAN, ZHIMIN FAN
    Oncology Letters.2016; 11(4): 2502.     CrossRef

J Pathol Transl Med : Journal of Pathology and Translational Medicine