Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma.

Journal: PloS one
PMID: 39869565

Abstract

BACKGROUND: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. Interestingly, there have been no prior studies that have examined G3BP1 IHC staining using digital pathology.

Authors

  • Linshan Zhou
    Department of Nephrology, Renal Research Institute, Hunan Key Lab of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University Changsha 410011, Hunan, China.
  • Mu Yang
    Center for Gene and Immunothererapy, The Second Hospital of Shandong University, Jinan, 250033, China.
  • Jiadi Luo
    Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Hongjing Zang
    Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Songqing Fan
    Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yuting Zhan
    Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

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