Development and validation of a predictive model for diagnosing EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis
The results of this study showed that the prediction model based on platelets < 33.5*10<sup>9</sup>/L, IL-6 > 20.79 pg/ml, IFN-γ > 12.12 pg/ml, and IL-10 > 39.87 pg/ml could more accurately distinguish between EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis and non-neoplastic EBV-associated hemophagocytic lymphohistiocytosis. This could aid clinicians in the early detection and convenient individualization of treatment for EBV-associated hemophagocytic lymphohistiocytosis.
Authors
- Wenzhi Zhang (ORCID: https://orcid.org/0000-0003-4123-5087)
- Yuhong Yin (ORCID: https://orcid.org/0009-0000-1312-4561)
- Ying Li (ORCID: https://orcid.org/0000-0002-7665-4698)
- Yu Han (ORCID: https://orcid.org/0000-0002-3791-6050)
- Xiaoyan Wu (ORCID: https://orcid.org/0000-0002-1644-5325)
- Lizhen Zhao (ORCID: https://orcid.org/0009-0005-7507-1297)
- Minchun Huang (ORCID: https://orcid.org/0009-0004-4603-9661)
Institutions
- Union Hospital (HK)
- Wuhan Union Hospital (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1186/s12885-025-13788-8
- Citations
- 1
- Primary Topic
- Autoimmune and Inflammatory Disorders Research
- Type
- article
- Field-Weighted Citation Impact
- 1.77