Literature DB >> 30936424

MAGE-A expression in oral and laryngeal leukoplakia predicts malignant transformation.

Christoph A Baran1, Abbas Agaimy2, Falk Wehrhan3, Manuel Weber3, Verena Hille3, Kathrin Brunner4, Claudia Wickenhauser5, Udo Siebolts5, Emeka Nkenke6, Marco Kesting3, Jutta Ries3.   

Abstract

Leukoplakia is a potential precursor of oral as well as laryngeal squamous cell carcinoma. Risk assessment of malignant transformation based on the grade of dysplasia of leukoplakia often does not lead to reliable results. However, oral squamous cell carcinoma, laryngeal squamous cell carcinoma, and leukoplakia express single or multiple members of the melanoma-associated antigens A (MAGE-A) family, while MAGE-A are absent in healthy mucosal tissue. The present study aimed at determining if there is an association between the expression of MAGE-A in leukoplakia and malignant transformation to oral or laryngeal squamous cell carcinoma. Paraffin-embedded tissues of 205 oral and laryngeal leukoplakia, 90 corresponding tumors, and 40 healthy oral mucosal samples were included in the study. The grade of dysplasia of the leukoplakia samples was determined histopathologically. The leukoplakia samples were divided into lesions that transformed to oral and laryngeal squamous cell carcinoma (n = 91) and lesions that did not (n = 114) during a 5 years follow-up. The expression of MAGE-A3/6 and MAGE-A4 was analyzed by real-time RT-PCR. The expression of MAGE-A 1-4, 6, and 12 was determined by immunohistochemistry. A total of 59.3% of the transforming leukoplakia expressed at least one of the examined antigens as opposed to an expression rate of 3.5% of all non-transforming leukoplakia. There was no MAGE-A expression in healthy oral mucosa. The risk of malignant transformation was statistically significantly associated with MAGE-A expression in immunohistochemistry (p < 0.001) and real-time RT-PCR (MAGE-A3/6, p = 0.001; MAGE-A4, p = 0.002) analyses. There was no significant association between MAGE-A expression and the grade of dysplasia ("low-grade", D0/D1; "high-grade", D2/D3) in immunohistochemistry (p = 0.412) and real-time RT-PCR (MAGE-A3/6, p = 0.667; MAGE-A4, p = 0.756). It seems that the analysis of the MAGE-A expression profile may support the identification of leukoplakia at risk for malignant transformation. Therefore, efforts should be made to establish this analysis as a routine procedure in addition to conventional histopathology.

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Year:  2019        PMID: 30936424     DOI: 10.1038/s41379-019-0253-5

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  6 in total

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Authors:  Zhenbo Hou; Xiao Liang; Xinmei Wang; Ziqiang Zhou; Guilan Shi
Journal:  Oncol Lett       Date:  2020-03-31       Impact factor: 2.967

Review 2.  Developing Classifications of Laryngeal Dysplasia: The Historical Basis.

Authors:  Henrik Hellquist; Alfio Ferlito; Antti A Mäkitie; Lester D R Thompson; Justin A Bishop; Abbas Agaimy; Juan C Hernandez-Prera; Douglas R Gnepp; Stefan M Willems; Pieter J Slootweg; Alessandra Rinaldo
Journal:  Adv Ther       Date:  2020-04-23       Impact factor: 3.845

3.  Comprehensive Analysis to Identify MAGEA3 Expression Correlated With Immune Infiltrates and Lymph Node Metastasis in Gastric Cancer.

Authors:  Jinji Jin; Jianxin Tu; Jiahuan Ren; Yiqi Cai; Wenjing Chen; Lifang Zhang; Qiyu Zhang; Guanbao Zhu
Journal:  Front Oncol       Date:  2021-12-14       Impact factor: 6.244

4.  MAGEA6 positively regulates MSMO1 and promotes the migration and invasion of oesophageal cancer cells.

Authors:  Manyu Liu; Jintao Li; Yangjunqi Wang; Maliha Ghaffar; Yishu Yang; Minglian Wang; Changshuo Li
Journal:  Exp Ther Med       Date:  2022-01-07       Impact factor: 2.447

Review 5.  Update from the 5th Edition of the World Health Organization Classification of Head and Neck Tumors: Hypopharynx, Larynx, Trachea and Parapharyngeal Space.

Authors:  Nina Zidar; Nina Gale
Journal:  Head Neck Pathol       Date:  2022-03-21

Review 6.  On the Cutting Edge of Oral Cancer Prevention: Finding Risk-Predictive Markers in Precancerous Lesions by Longitudinal Studies.

Authors:  Madeleine Crawford; Eliza H Johnson; Kelly Y P Liu; Catherine Poh; Robert Y L Tsai
Journal:  Cells       Date:  2022-03-18       Impact factor: 6.600

  6 in total

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