Evidence map›Paper›PMID 38567763›Full record

ReviewAnimal models and experimental medicine2024

How can we establish animal models of HIV-associated lymphoma?

Qing Xiao, Liuyue Zhai, Xiaomei Zhang, Yi Liu, Jun Li, Xiaoqing Xie, Guofa Xu, Sanxiu He, Huihui Fu, Yifeng Tang and 2 more

Open access · diamondAbstract readReview
In one paragraph

Review in Animal models and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. HIV reservoirs in lymphomagenesis: hidden driver in the era of viral suppression?Microbiology and molecular biology reviews : MMBR · 2025
    Review
  2. How can we establish animal models of HIV-associated lymphoma?Animal models and experimental medicine · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Qing XiaoChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Liuyue ZhaiChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaomei ZhangChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yi LiuChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Jun LiChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaoqing XieChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Guofa XuChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Sanxiu HeChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Huihui FuChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Yifeng TangChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Fujie ZhangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Yao LiuChongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Department of Hematology-Oncology, Chongqing University Cancer Hospital, Chongqing, China.ORCID 0000-0003-1782-7322
Chongqing University · CNChongqing Cancer Hospital · CNCapital Medical University · CN

Funding

Chongqing Professional Talents Plan cstc2022ycjh-bgzxm0048Fundamental Research Funds for the Central Universities 2022CDJYGRH-001Natural Science Foundation of Chongqing, China CSTB2022NSCQ-MSX1150
6 · The paper itself

Abstract

Human immunodeficiency virus (HIV) infection is strongly associated with a heightened incidence of lymphomas. To mirror the natural course of human HIV infection, animal models have been developed. These models serve as valuable tools to investigate disease pathobiology, assess antiretroviral and immunomodulatory drugs, explore viral reservoirs, and develop eradication strategies. However, there are currently no validated in vivo models of HIV-associated lymphoma (HAL), hampering progress in this crucial domain, and scant attention has been given to developing animal models dedicated to studying HAL, despite their pivotal role in advancing knowledge. This review provides a comprehensive overview of the existing animal models of HAL, which may enhance our understanding of the underlying pathogenesis and approaches for malignancies linked to HIV infection.

Indexed as

Disease Models, AnimalAnimalsHIV InfectionsHumansLymphomaLymphoma, AIDS-RelatedMiceanimal modelHIV‐associated lymphoma (HAL)human immunodeficiency virus (HIV)immunodeficient miceprimate model

Identifiers

PMID38567763
PMCPMC11369037
OpenAlexW4393872312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.