- Programmed cell death-ligand 1 assessment in urothelial carcinoma: prospect and limitation
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Kyu Sang Lee, Gheeyoung Choe
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J Pathol Transl Med. 2021;55(3):163-170. Published online April 7, 2021
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DOI: https://doi.org/10.4132/jptm.2021.02.22
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- Programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) inhibition has revolutionized the treatment paradigm of urothelial carcinoma (UC). Several PD-L1 assays are conducted to formulate appropriate treatment decisions for PD-1/PD-L1 target therapy in UC. However, each assay has its own specific requirement of antibody clones, staining platforms, scoring algorithms, and cutoffs for the determination of PD-L1 status. These prove to be challenging constraints to pathology laboratories and pathologists. Thus, the present article comprehensively demonstrates the scoring algorithm used and differences observed in each assay (22C3, SP142, and SP263). Interestingly, the SP142 score algorithm considers only immune cells and not tumor cells (TCs). It remains controversial whether SP142 expressed only in TCs truly accounts for a negative PD-L1 case. Moreover, the scoring algorithm of each assay is complex and divergent, which can result in inter-observer heterogeneity. In this regard, the development of artificial intelligence for providing assistance to pathologists in obtaining more accurate and objective results has been actively researched. To facilitate efficiency of PD-L1 testing, several previous studies attempted to integrate and harmonize each assay in UC. The performance comparison of the various PD-L1 assays demonstrated in previous studies was encouraging, the exceptional concordance rate reported between 22C3 and SP263. Although these two assays may be used interchangeably, a clinically validated algorithm for each agent must be applied.
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- Comparison of tissue biomarkers between non-schistosoma and schistosoma-associated urothelial carcinoma
Nashwah Samir AlHariry, Enas A. El Saftawy, Basma Emad Aboulhoda, Ahmed H. Abozamel, Mansour A. Alghamdi, Amany E. Hamoud, Walaa Abd Elgawad Khalil Ghanam Tissue and Cell.2024; 88: 102416. CrossRef - Aspectos prácticos sobre la determinación de PD-L1 en el tratamiento de carcinoma urotelial. Consenso del grupo de uropatología de la SEAP
Antonio López-Beltrán, Pilar González-Peramato, Julián Sanz-Ortega, Juan Daniel Prieto Cuadra, Isabel Trias, Rafael J. Luque Barona, María Eugenia Semidey, Pablo Maroto, Ferran Algaba Revista Española de Patología.2023; 56(4): 261. CrossRef - Systemic treatment of advanced and metastatic urothelial cancer: The landscape in Australia
Howard Gurney, Timothy D. Clay, Niara Oliveira, Shirley Wong, Ben Tran, Carole Harris Asia-Pacific Journal of Clinical Oncology.2023; 19(6): 585. CrossRef - PD-L1 Testing in Urothelial Carcinoma: Analysis of a Series of 1401 Cases Using Both the 22C3 and SP142 Assays
Harriet Evans, Brendan O’Sullivan, Frances Hughes, Kathryn Charles, Lee Robertson, Philippe Taniere, Salvador Diaz-Cano Pathology and Oncology Research.2022;[Epub] CrossRef - Insights on recent innovations in bladder cancer immunotherapy
Mohamed A. Abd El‐Salam, Claire E.P. Smith, Chong‐Xian Pan Cancer Cytopathology.2022; 130(9): 667. CrossRef - What Do We Have to Know about PD-L1 Expression in Prostate Cancer? A Systematic Literature Review. Part 1: Focus on Immunohistochemical Results with Discussion of Pre-Analytical and Interpretation Variables
Andrea Palicelli, Martina Bonacini, Stefania Croci, Cristina Magi-Galluzzi, Sofia Cañete-Portillo, Alcides Chaux, Alessandra Bisagni, Eleonora Zanetti, Dario De Biase, Beatrice Melli, Francesca Sanguedolce, Moira Ragazzi, Maria Paola Bonasoni, Alessandra Cells.2021; 10(11): 3166. CrossRef
- Stromal Expression of MicroRNA-21 in Advanced Colorectal Cancer Patients with Distant Metastases
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Kyu Sang Lee, Soo Kyung Nam, Jiwon Koh, Duck-Woo Kim, Sung-Bum Kang, Gheeyoung Choe, Woo Ho Kim, Hye Seung Lee
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J Pathol Transl Med. 2016;50(4):270-277. Published online May 31, 2016
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DOI: https://doi.org/10.4132/jptm.2016.03.19
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9,466
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Abstract
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- Background
The aim of this study was to determine the regional heterogeneity and clinicopathological significance of microRNA-21 (miR-21) in advanced colorectal cancer (CRC) patients with distant metastasis.
Methods miR-21 expression was investigated by using locked nucleic acid– fluorescence in situ hybridization in the center and periphery of the primary cancer and in distant metastasis from 170 patients with advanced CRC. In addition, α-smooth muscle actin and desmin were evaluated to identify cancer-associated fibroblasts (CAFs) by using immunohistochemistry.
Results The miR-21 signal was observed in the cancer stroma. The expression of miR-21 (a score of 1–4) in the center and periphery of the primary cancer and in distant metastasis was observed in specimens from 133 (78.2%), 105 (61.8%), and 91 (53.5%) patients, respectively. miR-21 expression was heterogeneous in advanced CRC. Discordance between miR-21 expression in the center of the primary cancer and either the periphery of the primary cancer or distant metastasis was 31.7% or 44.7%, respectively. miR-21 stromal expression in the periphery of the primary cancer was significantly associated with a better prognosis (p=.004). miR-21 expression was significantly associated with CAFs in the center of the primary cancer (p=.001) and distant metastases (p=.041).
Conclusions miR-21 expression is observed in cancer stroma related to the CAF quantity and frequently presents regional heterogeneity in CRC. Our findings indicate that the role of miR-21 in predicting prognosis may be controversial but provide a new perspective of miR-21 level measurement in cancer specimens.
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Zixing Kou, Cun Liu, Wenfeng Zhang, Changgang Sun, Lijuan Liu, Qiming Zhang International Journal of Oncology.2024;[Epub] CrossRef - Expression of Selected miRNAs in Normal and Cancer-Associated Fibroblasts and in BxPc3 and MIA PaCa-2 Cell Lines of Pancreatic Ductal Adenocarcinoma
Václav Mandys, Alexey Popov, Robert Gürlich, Jan Havránek, Lucie Pfeiferová, Michal Kolář, Jana Vránová, Karel Smetana, Lukáš Lacina, Pavol Szabo International Journal of Molecular Sciences.2023; 24(4): 3617. CrossRef - MicroRNAs and colorectal cancer: clinical potential and regulatory networks
George Yiadom Osei, Joseph Adu-Amankwaah, Selina Koomson, Solomon Beletaa, Emmanuel Akomanin Asiamah, Cecilia Smith-Togobo, Siti Razila Abdul Razak Molecular Biology Reports.2023; 50(11): 9575. CrossRef - MicroRNA-552 expression in colorectal cancer and its clinicopathological significance
Joon Im, Soo Kyung Nam, Hye Seung Lee Journal of Pathology and Translational Medicine.2021; 55(2): 125. CrossRef - Postoperative changes in plasma miR21‐5p as a novel biomarker for colorectal cancer recurrence: A prospective study
Masahiro Fukada, Nobuhisa Matsuhashi, Takao Takahashi, Nobuhiko Sugito, Kazuki Heishima, Kazuhiro Yoshida, Yukihiro Akao Cancer Science.2021; 112(10): 4270. CrossRef - Differential expression of microRNAs in colorectal cancer: Different patterns between isolated cancer gland and stromal cells
Ayaka Sato, Yasuko Fujita, Koki Otsuka, Akira Sasaki, Hiromu Suzuki, Takayuki Matsumoto, Tamotsu Sugai Pathology International.2020; 70(1): 21. CrossRef - High-Throughput Multiplex Immunohistochemical Imaging of the Tumor and Its Microenvironment
Jiwon Koh, Yoonjin Kwak, Jin Kim, Woo Ho Kim Cancer Research and Treatment.2020; 52(1): 98. CrossRef - Tumor Tissue MIR92a and Plasma MIRs21 and 29a as Predictive Biomarkers Associated with Clinicopathological Features and Surgical Resection in a Prospective Study on Colorectal Cancer Patients
Masahiro Fukada, Nobuhisa Matsuhashi, Takao Takahashi, Nobuhiko Sugito, Kazuki Heishima, Yukihiro Akao, Kazuhiro Yoshida Journal of Clinical Medicine.2020; 9(8): 2509. CrossRef - The promising role of noncoding RNAs in cancer-associated fibroblasts: an overview of current status and future perspectives
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Somayeh Igder, Javad Mohammadiasl, Pooneh Mokarram Biochemical Genetics.2019; 57(6): 767. CrossRef - Development and Validation of an Easy-to-Implement, Practical Algorithm for the Identification of Molecular Subtypes of Gastric Cancer: Prognostic and Therapeutic Implications
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- Expression of c-MET in Invasive Meningioma
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Sumi Yun, Jae Moon Koh, Kyu Sang Lee, An Na Seo, Kyung Han Nam, Gheeyoung Choe
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J Pathol Transl Med. 2015;49(1):44-51. Published online January 15, 2015
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DOI: https://doi.org/10.4132/jptm.2014.10.13
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10,187
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- Background
Meningiomas show high recurrence rates even after curative tumor removal. The invasiveness of meningiomas may contribute to their high recurrence rates. Recently, c-MET and hepatocyte growth factor (HGF) have been reported to be involved in cancer invasion. Methods: We examined the immunohistochemical expression of c-MET and HGF in 100 cases of patients with meningiomas who have undergone complete tumor removal. Results: c-MET-High and HGFHigh were found in 17% and 13% of meningiomas, respectively. Brain invasion was observed in 17.6% of c-MET-High meningiomas, but in only 2.4% of c-MET-Low meningiomas (p=.033). Bone/ soft tissue invasion was observed in 23.5% of c-MET-High meningiomas and in 9.6% of c-MET-Low meningiomas (p=.119). HGF-High did not show statistical association with brain invasion or bone/ soft tissue invasion. c-MET-High demonstrated shorter recurrence-free survival (RFS, 93.5±8.2 months vs 96.1±1.9 months); however, this difference was not statistically significant (p=.139). There was no association of HGF-High with RFS. Conclusions: This study demonstrates that c- MET-High is associated with brain invasion of meningiomas, and that c-MET expression may be a useful predictive marker for meningioma recurrence. Patients with invasive meningiomas with high expressions of c-MET may be good candidates for targeted therapy using c-MET inhibitors.
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Thiébaud Picart, Chloé Dumot, Jacques Guyotat, Vladislav Pavlov, Nathalie Streichenberger, Alexandre Vasiljevic, Tanguy Fenouil, Anne Durand, Emmanuel Jouanneau, François Ducray, Timothée Jacquesson, Moncef Berhouma, David Meyronet Neurosurgical Review.2022; 45(4): 2797. CrossRef - Nomogram based on MRI can preoperatively predict brain invasion in meningioma
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- Intracranial Extracerebral Glioneuronal Heterotopia with Adipose Tissue and a Glioependymal Cyst: A Case Report and Review of the Literature
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Hwa Jin Cho, Han Na Kim, Kyung Ju Kim, Kyu Sang Lee, Jae Kyung Myung, Seung-Ki Kim, Sung-Hye Park
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Korean J Pathol. 2014;48(3):254-257. Published online June 26, 2014
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DOI: https://doi.org/10.4132/KoreanJPathol.2014.48.3.254
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- Immunohistochemical Classification of Primary and Secondary Glioblastomas
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Kyu Sang Lee, Gheeyoung Choe, Kyung Han Nam, An Na Seo, Sumi Yun, Kyung Ju Kim, Hwa Jin Cho, Sung Hye Park
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Korean J Pathol. 2013;47(6):541-548. Published online December 24, 2013
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DOI: https://doi.org/10.4132/KoreanJPathol.2013.47.6.541
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Abstract
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- Background
Glioblastomas may develop de novo (primary glioblastomas, P-GBLs) or through progression from lower-grade astrocytomas (secondary glioblastomas, S-GBLs). The aim of this study was to compare the immunohistochemical classification of glioblastomas with clinically determined P-GBLs and S-GBLs to identify the best combination of antibodies for immunohistochemical classification. MethodsWe evaluated the immunohistochemical expression of epidermal growth factor receptor (EGFR), p53, and isocitrate dehydrogenase 1 (IDH-1) in 150 glioblastoma cases. ResultsAccording to clinical history, the glioblastomas analyzed in this study consisted of 146 P-GBLs and 4 S-GBLs. Immunohistochemical expression of EGFR, p53, and IDH-1 was observed in 62.6%, 49.3%, and 11.1%, respectively. Immunohistochemical profiles of EGFR(+)/p53(-), IDH-1(-)/EGFR(+)/p53(-), and EGFR(-)/p53(+) were noted in 41.3%, 40.2%, and 28.7%, respectively. Expression of IDH-1 and EGFR(-)/p53(+) was positively correlated with young age. The typical immunohistochemical features of S-GBLs comprised IDH-1(+)/EGFR(-)/p53(+), and were noted in 3.6% of clinically P-GBLs. The combination of IDH-1(-) or EGFR(+) was the best set of immunohistochemical stains for identifying P-GBLs, whereas the combination of IDH-1(+) and EGFR(-) was best for identifying S-GBLs. ConclusionsWe recommend a combination of IDH-1 and EGFR for immunohistochemical classification of glioblastomas. We expect our results to be useful for determining treatment strategies for glioblastoma patients.
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