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Updated: Apr 30, 2026

Humanized NOD/SCID/IL2rγnull (hu-NSG) Mouse Model for HIV Replication and Latency Studies

Humanized NOD/SCID/IL2rγ^null (hu-NSG) Mouse Model for HIV Replication and Latency Studies

Published on: January 7, 2019

A predictive model for HIV-related lymphoma.

Shuhei Kurosawa¹, Yukihiro Yoshimura², Yusuke Takada¹

¹Department of Hematology.

AIDS (London, England)

|June 4, 2024

Summary

This study developed the HIV-Japanese Prognostic Index (HIV-JPI) to predict outcomes for Japanese patients with HIV-related lymphoma (HRL). The HIV-JPI identifies high-risk patients with significantly poorer survival, enabling tailored treatment strategies.

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Area of Science:

Oncology
Infectious Diseases
Hematology

Background:

HIV-related lymphoma (HRL) lacks specific prognostic scores for Japanese populations.
Accurate prognostication is crucial for effective treatment stratification in HRL.

Purpose of the Study:

To develop a predictive model for HRL prognosis in Japanese patients.
To establish an HRL-specific prognostic score for the Japanese population.

Main Methods:

Retrospective analysis of 19 HRL cases from a single institution and 44 cases from literature review.
Multivariate analysis of clinical parameters to identify prognostic factors.
Formulation of the HIV-Japanese Prognostic Index (HIV-JPI).

Main Results:

The HIV-JPI incorporates age, HIV-RNA levels, Epstein-Barr virus-encoded small RNA status, and Ann Arbor stage.
A score of 0-2 indicated low risk, while 3-4 indicated high risk.
The 3-year OS probability was significantly lower in the high-risk group (30.8%) compared to the low-risk group (76.8%).

Conclusions:

Key prognostic factors for HRL in Japanese patients were identified.
The HIV-JPI, derived from Japanese data, facilitates risk stratification.
Further studies are needed to refine this clinical prediction model for broader application.