Characteristics and predictive model for diffuse large B-cell lymphoma with early chemoimmunotherapy failure
Based on these predictors, a nomogram of ECF was established, and the straining cohort of our Chinese patients as well as the external cohort from Western countries showed a good predictive power of the ECF model, indicating the efficiency of our ECF predicting model, regardless of patients' race. Our ECF model allows clinicians to early recognize ECF patients, to optimize the therapeutic strategies and to improve the outcome of those chemo-resistant patients.
Authors
- Di Fu (ORCID: https://orcid.org/0000-0001-7218-0387)
- Qing Shi (ORCID: https://orcid.org/0000-0003-1934-0833)
- Pengpeng Xu (ORCID: https://orcid.org/0000-0001-9826-4212)
- Weili Zhao
- Guilhem Bousquet (ORCID: https://orcid.org/0000-0001-5594-6694)
- Li Wang (ORCID: https://orcid.org/0000-0003-2452-0169)
- Bing Zhao (ORCID: https://orcid.org/0000-0001-5999-9240)
- Shu Cheng
- Dong Yu (ORCID: https://orcid.org/0000-0003-2874-5795)
- Wen Wu (ORCID: https://orcid.org/0009-0007-0400-4323)
Institutions
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- Sorbonne Université (FR)
- Université Sorbonne Paris Nord (FR)
- Shanghai Hospital Development Center (CN)
- Hôpital Avicenne (FR)
- Shanghai Institute of Hematology (CN)
- People's Liberation Army 411 Hospital (CN)
- State Key Laboratory of Medical Genomics
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3389/fimmu.2025.1553850
- Citations
- 1
- Primary Topic
- Lymphoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.47
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- School of Medicine, Shanghai Jiao Tong University