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Determining clinical course of diffuse large B-cell lymphoma using targeted transcriptome and machine learning algorithms.

Publication ,  Journal Article
Albitar, M; Zhang, H; Goy, A; Xu-Monette, ZY; Bhagat, G; Visco, C; Tzankov, A; Fang, X; Zhu, F; Dybkaer, K; Chiu, A; Tam, W; Zu, Y; Hsi, ED ...
Published in: Blood Cancer J
February 1, 2022

Multiple studies have demonstrated that diffuse large B-cell lymphoma (DLBCL) can be divided into subgroups based on their biology; however, these biological subgroups overlap clinically. Using machine learning, we developed an approach to stratify patients with DLBCL into four subgroups based on survival characteristics. This approach uses data from the targeted transcriptome to predict these survival subgroups. Using the expression levels of 180 genes, our model reliably predicted the four survival subgroups and was validated using independent groups of patients. Multivariate analysis showed that this patient stratification strategy encompasses various biological characteristics of DLBCL, and only TP53 mutations remained an independent prognostic biomarker. This novel approach for stratifying patients with DLBCL, based on the clinical outcome of rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone therapy, can be used to identify patients who may not respond well to these types of therapy, but would otherwise benefit from alternative therapy and clinical trials.

Duke Scholars

Published In

Blood Cancer J

DOI

EISSN

2044-5385

Publication Date

February 1, 2022

Volume

12

Issue

2

Start / End Page

25

Location

United States

Related Subject Headings

  • Vincristine
  • Transcriptome
  • Rituximab
  • Prognosis
  • Prednisone
  • Machine Learning
  • Lymphoma, Large B-Cell, Diffuse
  • Humans
  • Doxorubicin
  • Cyclophosphamide
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Albitar, M., Zhang, H., Goy, A., Xu-Monette, Z. Y., Bhagat, G., Visco, C., … Young, K. H. (2022). Determining clinical course of diffuse large B-cell lymphoma using targeted transcriptome and machine learning algorithms. Blood Cancer J, 12(2), 25. https://doi.org/10.1038/s41408-022-00617-5

Published In

Blood Cancer J

DOI

EISSN

2044-5385

Publication Date

February 1, 2022

Volume

12

Issue

2

Start / End Page

25

Location

United States

Related Subject Headings

  • Vincristine
  • Transcriptome
  • Rituximab
  • Prognosis
  • Prednisone
  • Machine Learning
  • Lymphoma, Large B-Cell, Diffuse
  • Humans
  • Doxorubicin
  • Cyclophosphamide