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PD-L1 expression in bone marrow plasma cells as a biomarker to predict multiple myeloma prognosis: developing a nomogram-based prognostic model

Authors
Lee, Byung-HyunPark, YongKim, Ji HyeKang, Ka-WonLee, Seung JinKim, Seok JinKim, Byung Soo
Issue Date
28-7월-2020
Publisher
NATURE PUBLISHING GROUP
Citation
SCIENTIFIC REPORTS, v.10, no.1
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC REPORTS
Volume
10
Number
1
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/54343
DOI
10.1038/s41598-020-69616-5
ISSN
2045-2322
Abstract
PD-L1 expression is associated with poor prognosis, although this relationship is unclear in bone marrow-derived haematologic malignancies, including multiple myeloma. We aimed to determine whether PD-L1 expression could predict the prognosis of newly diagnosed multiple myeloma (NDMM). We evaluated 126 NDMM patients (83, retrospectively; 43, prospectively) who underwent bone marrow examinations. Bone marrow aspirates were analysed for PD-L1 expression, categorized as low or high expression, using quantitative immunofluorescence. High PD-L1 expression could independently predict poor overall survival (OS) (95% CI=1.692-8.346) in multivariate analysis. On subgroup analysis, high PD-L1 expression was associated with poor OS (95% CI=2.283-8.761) and progression-free survival (95% CI=1.024-3.484) in patients who did not undergo autologous stem cell transplantation (ASCT) compared with those who did. High PD-L1 expression was associated with poor OS despite frontline treatments with or without immunomodulators. Thus, PD-L1 expression can be a useful prognosis predictor in NDMM patients, whereas ASCT may be used in patients with high PD-L1 expression. We developed a prognostic nomogram and found that a combination of PD-L1 expression in bone marrow plasma cells and clinical parameters (age, cytogenetics, and lactate dehydrogenase) effectively predicted NDMM prognosis. We believe that our nomogram can help identify high-risk patients and select appropriate treatments.
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