학술논문

Patient risk stratification and tailored clinical management of post‐transplant CMV‐, EBV‐, and BKV‐infections by monitoring virus‐specific T‐cell immunity
Document Type
article
Source
eJHaem, Vol 2, Iss 3, Pp 428-439 (2021)
Subject
allogeneic hematopoietic cell transplantation
antithymocyte globulin
graft versus host disease
post‐transplant infections
virus‐specific T‐cells
Diseases of the blood and blood-forming organs
RC633-647.5
Language
English
ISSN
2688-6146
Abstract
Abstract Background Despite routine post‐transplant viral monitoring and pre‐emptive therapy, viral infections remain a major cause of allogeneic hematopoietic cell transplantation‐related morbidity and mortality. Objective We here aimed to prospectively assess the kinetics and the magnitude of cytomegalovirus‐(CMV), Epstein Barr virus‐(EBV), and BK virus‐(BKV)‐specific T cell responses post‐transplant and evaluate their role in guiding therapeutic decisions by patient risk‐stratification. Study design The tri‐virus‐specific immune recovery was assessed by Elispot, in 50 consecutively transplanted patients, on days +20, +30, +60, +100, +150, +200 post‐transplant and in case of reactivation, weekly for 1 month. Results The great majority of the patients experienced at least one reactivation, while over 40% of them developed multiple reactivations from more than one of the tested viruses, especially those transplanted from matched or mismatched unrelated donors. The early reconstitution of virus‐specific immunity (day +20), favorably correlated with transplant outcomes. Εxpanding levels of CMV‐, EBV‐, and BKV‐specific T cells (VSTs) post‐reactivation coincided with decreasing viral load and control of infection. Certain cut‐offs of absolute VST numbers or net VST cell expansion post‐reactivation were determined, above which, patients with CMV or BKV reactivation had >90% probability of complete response (CR). Conclusion Immune monitoring of virus‐specific T‐cell reconstitution post‐transplant may allow risk‐stratification of virus reactivating patients and enable patient‐tailored treatment. The identification of individuals with high probability of CR will minimize unnecessary overtreatment and drug‐associated toxicity while allowing candidates for pre‐emptive intervention with adoptive transfer of VSTs to be appropriately selected.