In:
American Journal of Surgical Pathology, Ovid Technologies (Wolters Kluwer Health), Vol. 46, No. 11 ( 2022-11), p. 1533-1544
Kurzfassung:
De novo CD5 + diffuse large B-cell lymphoma (DLBCL) has poor survival in the era of immunochemotherapy. Accurate gene-based typing and prognostic stratification can enhance the development of effective individualized treatments. Therefore, we conducted a multicenter retrospective study to evaluate the clinicopathologic characteristics, genomic profiles, and prognostic parameters of 61 patients with CD5 + DLBCL and 60 patients with CD5 − DLBCL, with the goal of facilitating accurate prognostic stratification and potential individualized treatment strategies. Compared with patients with CD5 − DLBCL, older age, advanced stage, higher incidence of central nervous system involvement, and MYC/BCL-2 and p53 overexpression were more prevalent in CD5 + DLBCL. Most patients with CD5 + DLBCL had lymph nodes with non–germinal center B-cell–like or activated B-cell–like subtype according to immunohistochemistry or Lymph2Cx assay. Next-generation sequencing showed that the proportion of MCD subtype (based on the co-occurrence of MYD88 and CD79B mutations) in the CD5 + DLBCL cohort was higher than that in the CD5 − DLBCL cohort (54.2% vs. 13.0%, P =0.005). Compared with the CD5 − cohort, CD5 + DLBCL patients showed poor 5-year overall survival (70.9% vs. 39.0%, P 〈 0.001). Kaplan-Meier survival analysis indicated that cell of origin, MYC/BCL-2, p53, and BCL-6 expression did not have a prognostic impact on patients with CD5 + DLBCL. Multivariate analysis showed that age above 76 years, advanced stage, higher incidence of central nervous system involvement, and hypoalbuminemia were independent factors for poor prognosis in CD5 + DLBCL patients. In summary, CD5 + DLBCL displays poor prognosis, distinctive clinicopathologic characteristics and predominant genetic features of activated B-cell–like and MCD subtypes with worse survival outcome.
Materialart:
Online-Ressource
ISSN:
0147-5185
DOI:
10.1097/PAS.0000000000001957
Sprache:
Englisch
Verlag:
Ovid Technologies (Wolters Kluwer Health)
Publikationsdatum:
2022
ZDB Id:
2029143-7
