Prognostic value and computer image analysis of p53 in mantle cell lymphoma

• Published in: Annals of hematology 2022-10, Vol.101 (10), p.2271-2279
• Main Authors: Zhang, Yue-Hua, Gao, Li-Min, Xiang, Xiao-Yu, Zhang, Wen-Yan, Liu, Wei-Ping
• Format: Article
• Language: English
• Subjects: Hematology; Lymphoma; Medical prognosis; Medicine; Medicine & Public Health; Morphology; Oncology; Original Article
• ISSN: 0939-5555; 1432-0584
• DOI: 10.1007/s00277-022-04922-8

P53 prognostic cut-off values differ between studies of mantle cell lymphoma (MCL), and its immunohistochemistry (IHC) interpretation is still based on semiquantitative estimation, which might be inaccurate. This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of patients with MCL and the possible use of computer image analysis to identify the positive rate of p53. We calculated p53 positive rate using QuPath software and compared it with the data obtained by manual counting and semiquantitative estimation. Survival curves were generated by using the Youden index and the Kaplan–Meier method. The chi-squared ( χ 2) test was used to compare MIPI, Ann Arbor stage, and cell morphology with p53. Spearman rank correlation test and Bland–Altman analysis were used to compare manual counting, computer image analysis and semiquantitative estimation, as well as the consistency between different observers. The optimal cut-off value of p53 for predicting prognosis was 20% in MCL patients. Patients with p53 ≥ 20% had a significantly worse overall survival (OS) than those with p53