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    Using quantitative immunohistochemistry in patients at high risk for hepatocellular cancer.

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    Author
    Zaidi, Sobia
    Amdur, Richard
    Xiang, Xiyan
    Yu, Herbert
    Wong, Linda L
    Rao, Shuyun
    He, Aiwu R
    Amin, Karan
    Zaheer, Daewa
    Narayan, Raj K
    Satapathy, Sanjaya K
    Latham, Patricia S
    Shetty, Kirti
    Guha, Chandan
    Gough, Nancy R
    Mishra, Lopa
    Show allShow less

    Date
    2022-06-06
    Journal
    Genes & Cancer
    Publisher
    SAGE Publications Inc.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.18632/genesandcancer.220
    http://www.ncbi.nlm.nih.gov/pmc/articles/pmc9170384/
    Abstract
    Hepatocellular carcinoma (HCC) is the primary form of liver cancer and a major cause of cancer death worldwide. Early detection is key to effective treatment. Yet, early diagnosis is challenging, especially in patients with cirrhosis, who are at high risk of developing HCC. Dysfunction or loss of function of the transforming growth factor β (TGF-β) pathway is associated with HCC. Here, using quantitative immunohistochemistry analysis of samples from a multi-institutional repository, we evaluated if differences in TGF-β receptor abundance were present in tissue from patients with only cirrhosis compared with those with HCC in the context of cirrhosis. We determined that TGFBR2, not TGFBR1, was significantly reduced in HCC tissue compared with cirrhotic tissue. We developed an artificial intelligence (AI)-based process that correctly identified cirrhotic and HCC tissue and confirmed the significant reduction in TGFBR2 in HCC tissue compared with cirrhotic tissue. Thus, we propose that a reduction in TGFBR2 abundance represents a useful biomarker for detecting HCC in the context of cirrhosis and that incorporating this biomarker into an AI-based automated imaging pipeline could reduce variability in diagnosing HCC from biopsy tissue.
    Keyword
    cirrhosis
    diagnostic model
    immunohistochemistry
    liver cancer
    transforming growth factor beta
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/19126
    ae974a485f413a2113503eed53cd6c53
    10.18632/genesandcancer.220
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