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April 11, 2026CytoJournalOpen Access

Development and validation of a multiparameter prognostic model for extranodal natural killer/T-cell lymphoma: Integration of clinical, pathological, and molecular biomarkers

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Authors

SWShishou WuYuhuangding Hospital YLYifei LiuFujian Medical University LJLei JiangYuhuangding Hospital

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Implication

Retrospective analysis develops a prognostic model for extranodal natural killer/T-cell lymphoma, suggesting improved risk assessment and personalized treatment options.

Key Points

The study aims to create and validate a prognostic model for extranodal natural killer/T-cell lymphoma by integrating clinical and pathological data.
Retrospective analysis of 106 ENKTCL patients between 2008-2020.
Integration of clinical parameters and molecular biomarkers through multivariable Cox regression.
Construction of the novel international prognostic index (NIPI) model.
Evaluation of tumor microenvironment features using quantitative dot blot (QDB) analysis.
Significant risk stratification achieved with P < 0.001.
3-year area under the curve of 0.72 for immunohistochemistry and 0.80 for QDB analysis.
NIPI model outperformed Ann Arbor staging and existing prognostic indices with P = 0.00036 and P = 0.00017, respectively.
QDB implementation showed superior prognostic discrimination with P = 0.00014.

Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/69d9e67a78050d08c1b76d70 https://doi.org/10.25259/cytojournal_34_2025

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Implication

Retrospective analysis develops a prognostic model for extranodal natural killer/T-cell lymphoma, suggesting improved risk assessment and personalized treatment options.

Development and validation of a multiparameter prognostic model for extranodal natural killer/T-cell lymphoma: Integration of clinical, pathological, and molecular biomarkers

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Implication

Key Points

Cite This Study

Development and validation of a multiparameter prognostic model for extranodal natural killer/T-cell lymphoma: Integration of clinical, pathological, and molecular biomarkers

Discussion

Member takes

Implication

Key Points

Cite This Study

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