ArticleOncoimmunology
A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.
Article in Oncoimmunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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Who cites it
62 citing papers in PubMed, 107 citations in OpenAlex.
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- Identification of molecularly targeted therapy-induced immunopeptidome in diffuse midline glioma (DMG).Neoplasia (New York, N.Y.) · 2026Article
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- Advancing human leukocyte antigen-based cancer immunotherapy: from personalized to broad-spectrum strategies for genetically heterogeneous populations.Trends in cancer · 2025Review
- AAV2 delivery of theMolecular therapy. Methods & clinical development · 2025Article
- Haplotype-resolved assemblies of the MHC region in five widely used tumor cell lines.Genes & diseases · 2025Article
- Investigating the Shared Genetic Architecture Between Leukocyte Telomere Length and Prostate Cancer.The world journal of men's health · 2025Article
- TGF-β Decreases NK Cell Mobility and Cytotoxic Efficacy in Complex in vitro Models of the Leukemia Microenvironment.ImmunoTargets and therapy · 2025Article
- VaxOptiML: leveraging machine learning for accurate prediction of MHC-I and II epitopes for optimized cancer immunotherapy.Immunogenetics · 2024Article
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- Tumor Neoepitope-Based Vaccines: A Scoping Review on Current Predictive Computational Strategies.Vaccines · 2024Article
- Variable patterns of retrotransposition in different HeLa strains provide mechanistic insights into SINE RNA mobilization processes.Nucleic acids research · 2024Article
- Limited Immunogenicity of an HLA-A*03:01-restricted Epitope of Erv-k-env in Non-hiv-1 Settings: Implications for Adoptive Cell Therapy in Cancer.Research square · 2024Article
- Elucidating immunological characteristics of the adenoma-carcinoma sequence in colorectal cancer patients in South Korea using a bioinformatics approach.Scientific reports · 2024Article
- Insights into the mechanisms and structure of breakage-fusion-bridge cycles in cervical cancer using long-read sequencing.American journal of human genetics · 2024Article
- COSMIC-based mutation database enhances identification efficiency of HLA-I immunopeptidome.Journal of translational medicine · 2024Article
- Causal role of immune cells in diabetic nephropathy: a bidirectional Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Engineered tumor-specific T cells using immunostimulatory photothermal nanoparticles.Cytotherapy · 2023Article
- Interleukin-37 suppresses the cytotoxicity of hepatitis B virus peptides-induced CD8+ T cells in patients with acute hepatitis B.Biomolecules & biomedicine · 2023Article
- Immune microenvironment dynamics of HER2 overexpressing breast cancer under dual anti-HER2 blockade.Frontiers in immunology · 2023Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer cell lines are a tremendous resource for cancer biology and therapy development. These multipurpose tools are commonly used to examine the genetic origin of cancers, to identify potential novel tumor targets, such as tumor antigens for vaccine devel-opment, and utilized to screen potential therapies in preclinical studies. Mutations, gene expression, and drug sensitivity have been determined for many cell lines using next-generation sequencing (NGS). However, the human leukocyte antigen (HLA) type and HLA expression of tumor cell lines, characterizations necessary for the development of cancer vaccines, have remained largely incomplete and, such information, when available, has been distributed in many publications. Here, we determine the 4-digit HLA type and HLA expression of 167 cancer and 10 non-cancer cell lines from publically available RNA-Seq data. We use standard NGS RNA-Seq short reads from "whole transcriptome" sequencing, map reads to known HLA types, and statistically determine HLA type, heterozygosity, and expression. First, we present previously unreported HLA Class I and II genotypes. Second, we determine HLA expression levels in each cancer cell line, providing insights into HLA downregulation and loss in cancer. Third, using these results, we provide a fundamental cell line "barcode" to track samples and prevent sample annotation swaps and contamination. Fourth, we integrate the cancer cell-line specific HLA types and HLA expression with available cell-line specific mutation information and existing HLA binding prediction algorithms to make a catalog of predicted antigenic mutations in each cell line. The compilation of our results are a fundamental resource for all researchers selecting specific cancer cell lines based on the HLA type and HLA expression, as well as for the development of immunotherapeutic tools for novel cancer treatment modalities.
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Registered trials
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.