iScience (Jan 2024)

Epstein-Barr virus-based prognostic model in nodular sclerosis classic Hodgkin lymphoma

  • Chen Jiang,
  • Li-Yun Huang,
  • Ji-Hao Zhou,
  • Zhi-Ming Li,
  • Yu Wang,
  • Shuo Li,
  • Jian-Chang Fu,
  • Qi-Tao Huang,
  • Qin Yan,
  • Yu-Yuan Huang,
  • Min Zuo,
  • Shimin Hu,
  • Robert Peter Gale,
  • Yang Liang,
  • Jing-Ping Yun,
  • Yu-Hua Huang

Journal volume & issue
Vol. 27, no. 1
p. 108630

Abstract

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Summary: The role of Epstein-Barr virus (EBV) in lymphoma cells of nodular sclerosis classic Hodgkin lymphoma (NScHL) is controversial. Our aim was to explore this and establish a clinically feasible model for risk stratification. We interrogated data from 542 consecutive subjects with NScHL receiving ABVD therapy and demonstrated EBV-infection in their lymphoma cells with EBV-encoded small RNAs (EBERs) in situ hybridization. Subjects were divided into training and validation datasets. As data from the training dataset suggested EBERs-positivity was the only independent prognostic factor for both progression-free survival (PFS) and overall survival (OS), we developed corresponding prognostic models based on it. Our models showed excellent performance in both training and validation cohort. These data indicate the close association of EBV infection and the outcomes of persons with NScHL receiving ABVD. Additionally, our newly developed models should help physicians estimate prognosis and select individualized therapy.

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