Evidence map›Paper›PMID 40496610›Full record

ArticleFrontiers in oncology2025

Molecular and clinical insights into HIV-associated and HIV-negative aggressive B-cell lymphomas: prognostic quantitative biomarker analysis and therapeutic implications.

Liming Liu, Tianwa Wang, Jiping Luo, Jianrong Huang, Kaipeng Huang, Kun Chen, Chao Wang, Zhiqiang Cheng

Abstract read
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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Liming Liu *Department of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Tianwa Wang *Department of Pathology (Longhua Branch), Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Jiping Luo *Department of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Jianrong HuangDepartment of Nephrology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Kaipeng HuangDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Kun ChenJiangsu Cancer Hospital (Cancer Hospital Affiliated to Nanjing Medical University & Jiangsu Institute of Cancer Prevention and Control), Nanjing, Jiangsu, China.
Chao WangLuohu Mental Rehabilitation Department, Shenzhen Mental Health Center/Shenzhen Kangning Hospital, Shenzhen, Guangdong, China.
Zhiqiang ChengDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: HIV-associated lymphomas (HALs) exhibit aggressive features and poorer prognosis compared to HIV-negative lymphomas. However, their molecular and clinicopathological characteristics remain unclear in the antiretroviral therapy (ART) era. Methods: We retrospectively analyzed 208 lymphoma patients (57 HALs, 151 HIV-negative lymphomas) diagnosed between July 2019 and March 2024. Quantitative immunohistochemistry evaluated expression levels of Ki67, CD10, BCL6, MUM1, BCL2, and MYC. Independent prognostic factors were identified using multivariate Cox regression analysis, and a survival prediction model was validated by receiver operating characteristic (ROC) curve analysis. Results: HALs exhibited significantly higher proliferative activity (Ki67 AOD: 0.92 vs. 0.82, P < 0.001), more advanced disease stages (Ann Arbor stage III/IV: 77.2% vs. 60.0%, P = 0.022), and increased Epstein-Barr virus (EBV) positivity (51.1% vs. 17.9%, P < 0.001). Immunophenotyping revealed a GCB-like phenotype in HALs, characterized by elevated CD10 and BCL6 expression and decreased MUM1 and BCL2 expression. Patients with HALs had significantly shorter survival (median: 32.1 vs. 46.1 months, P < 0.001). Multivariate analysis identified Ki67 AOD (hazard ratio [HR] = 3.04, 95% confidence interval [CI]: 3.85-10.85), International Prognostic Index (IPI) (HR = 9.35, 95% CI: 4.20-20.82), and ART duration (protective, HR = 0.29/year, 95% CI: 0.19-0.45) as independent prognostic factors. The survival model demonstrated strong predictive accuracy (1-year area under the curve [AUC] = 0.831). Conclusions: HALs exhibit distinct molecular profiles-including elevated EBV infection, a GCB-like phenotype, increased Ki67 AOD, and decreased BCL2 expression-that contribute to significantly poorer survival compared to HIV-negative lymphomas. Integrating Ki67 AOD and IPI scores into prognostic models may enhance individualized prognosis and optimize treatment strategies for HAL patients.

Indexed as

aggressive B-cell lymphomaEpstein-Barr virusHIV-associated lymphomasprognostic modellingquantitative immunophenotyping

Identifiers

PMID40496610
PMCPMC12148868

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