Related Experiment Video
Updated: Feb 14, 2026
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Isolation of Exosomes from the Plasma of HIV-1 Positive Individuals
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NADCdb: A Joint Transcriptomic Database for Non-AIDS-Defining Cancer Research in HIV-Positive Individuals
Jiajia Xuan1, Chunhua Xiao1, Runhao Luo1
1MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
International Journal of Molecular Sciences
|February 13, 2026
Summary
Non-AIDS-defining cancers (NADCs) are a major concern for people living with HIV (PLWH). NADCdb integrates transcriptomic data to identify key regulators and biomarkers for 23 NADCs, aiding pathological exploration.
Area of Science:
- Oncology
- Virology
- Immunology
Background:
- Non-AIDS-defining cancers (NADCs) are a leading cause of death in people living with HIV (PLWH).
- Limited clinical samples and data privacy hinder NADC research.
- Understanding NADC pathogenesis is crucial for improving outcomes in PLWH.
Purpose of the Study:
- To systematically identify key regulators and biomarkers for 23 NADCs using integrated transcriptomic data.
- To develop NADCdb, a comprehensive database and analytical platform for NADC research.
- To explore the interplay of immunosuppression, inflammation, viral infections, and HIV in NADC development.
Main Methods:
- Joint analysis of transcriptomic data from 12,486 PLWH and cancer patients.
- Development of NADCdb with modules for risk assessment (rNADC), driver identification (dNADC), and immune biomarker discovery (iPredict).
- Utilized bidirectional stepwise regression, logistic modeling, Random Forest, and Conditional Inference Trees for analysis.
Main Results:
- NADCdb was created, integrating data and analytical frameworks for 23 NADCs.
- The rNADC module stratified risks for 21 NADCs; dNADC identified pathogenic drivers with >75% accuracy ( >90% for HIV-associated clear cell renal cell carcinoma).
- iPredict identified 1905 immune biomarkers for 16 NADCs, with multi-dimensional profiling of key determinants.
Conclusions:
- NADCdb provides a novel, centralized resource for NADC pathological exploration.
- The database offers valuable analytical frameworks and insights into NADC pathogenesis.
- Facilitates scientific exploration and potential therapeutic target identification for NADCs in PLWH.
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