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A genomic-augmented multivariate prognostic model for the survival of natural-killer/T-cell lymphoma patients from an international cohort.

Publication ,  Journal Article
Lim, JQ; Huang, D; Chan, JY; Laurensia, Y; Wong, EKY; Cheah, DMZ; Chia, BKH; Chuang, W-Y; Kuo, M-C; Su, Y-J; Cai, Q-Q; Feng, Y; Rao, H ...
Published in: Am J Hematol
September 2022

With lowering costs of sequencing and genetic profiling techniques, genetic drivers can now be detected readily in tumors but current prognostic models for Natural-killer/T cell lymphoma (NKTCL) have yet to fully leverage on them for prognosticating patients. Here, we used next-generation sequencing to sequence 260 NKTCL tumors, and trained a genomic prognostic model (GPM) with the genomic mutations and survival data from this retrospective cohort of patients using LASSO Cox regression. The GPM is defined by the mutational status of 13 prognostic genes and is weakly correlated with the risk-features in International Prognostic Index (IPI), Prognostic Index for Natural-Killer cell lymphoma (PINK), and PINK-Epstein-Barr virus (PINK-E). Cox-proportional hazard multivariate regression also showed that the new GPM is independent and significant for both progression-free survival (PFS, HR: 3.73, 95% CI 2.07-6.73; p < .001) and overall survival (OS, HR: 5.23, 95% CI 2.57-10.65; p = .001) with known risk-features of these indices. When we assign an additional risk-score to samples, which are mutant for the GPM, the Harrell's C-indices of GPM-augmented IPI, PINK, and PINK-E improved significantly (p < .001, χ2 test) for both PFS and OS. Thus, we report on how genomic mutational information could steer toward better prognostication of NKTCL patients.

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Published In

Am J Hematol

DOI

EISSN

1096-8652

Publication Date

September 2022

Volume

97

Issue

9

Start / End Page

1159 / 1169

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Prognosis
  • Lymphoma, Extranodal NK-T-Cell
  • Immunology
  • Humans
  • Herpesvirus 4, Human
  • Genomics
  • Epstein-Barr Virus Infections
  • Disease-Free Survival
  • 3201 Cardiovascular medicine and haematology
 

Citation

APA
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MLA
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Lim, J. Q., Huang, D., Chan, J. Y., Laurensia, Y., Wong, E. K. Y., Cheah, D. M. Z., … Ong, C. K. (2022). A genomic-augmented multivariate prognostic model for the survival of natural-killer/T-cell lymphoma patients from an international cohort. Am J Hematol, 97(9), 1159–1169. https://doi.org/10.1002/ajh.26636
Lim, Jing Quan, Dachuan Huang, Jason Yongsheng Chan, Yurike Laurensia, Esther Kam Yin Wong, Daryl Ming Zhe Cheah, Burton Kuan Hui Chia, et al. “A genomic-augmented multivariate prognostic model for the survival of natural-killer/T-cell lymphoma patients from an international cohort.Am J Hematol 97, no. 9 (September 2022): 1159–69. https://doi.org/10.1002/ajh.26636.
Lim JQ, Huang D, Chan JY, Laurensia Y, Wong EKY, Cheah DMZ, et al. A genomic-augmented multivariate prognostic model for the survival of natural-killer/T-cell lymphoma patients from an international cohort. Am J Hematol. 2022 Sep;97(9):1159–69.
Lim, Jing Quan, et al. “A genomic-augmented multivariate prognostic model for the survival of natural-killer/T-cell lymphoma patients from an international cohort.Am J Hematol, vol. 97, no. 9, Sept. 2022, pp. 1159–69. Pubmed, doi:10.1002/ajh.26636.
Lim JQ, Huang D, Chan JY, Laurensia Y, Wong EKY, Cheah DMZ, Chia BKH, Chuang W-Y, Kuo M-C, Su Y-J, Cai Q-Q, Feng Y, Rao H, Feng L-N, Wei P-P, Chen J-R, Han B-W, Lin G-W, Cai J, Fang Y, Tan J, Hong H, Liu Y, Zhang F, Li W, Poon MLM, Ng S-B, Jeyasekharan A, Ha JCH, Khoo LP, Chin ST, Pang WL, Kee R, Cheng CL, Grigoropoulos NF, Tang T, Tao M, Farid M, Puan KJ, Xiong J, Zhao W-L, Khor CC, Hwang W, Kim WS, Campo E, Tan P, Teh BT, Chng W-J, Rötzschke O, Tousseyn T, Huang H-Q, Rozen S, Lim ST, Shih L-Y, Bei J-X, Ong CK. A genomic-augmented multivariate prognostic model for the survival of natural-killer/T-cell lymphoma patients from an international cohort. Am J Hematol. 2022 Sep;97(9):1159–1169.
Journal cover image

Published In

Am J Hematol

DOI

EISSN

1096-8652

Publication Date

September 2022

Volume

97

Issue

9

Start / End Page

1159 / 1169

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Prognosis
  • Lymphoma, Extranodal NK-T-Cell
  • Immunology
  • Humans
  • Herpesvirus 4, Human
  • Genomics
  • Epstein-Barr Virus Infections
  • Disease-Free Survival
  • 3201 Cardiovascular medicine and haematology