ArticleJournal of proteomics2018
MHC class I loaded ligands from breast cancer cell lines: A potential HLA-I-typed antigen collection.
Article in Journal of proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 47 citations in OpenAlex.
- The Activity of Human NK Cells Towards 3D Heterotypic Cellular Tumor Model of Breast Cancer.Cells · 2025Article
- Two-dimensional analysis of plasma-derived extracellular vesicles to determine the HER2 status in breast cancer patients.Breast cancer research : BCR · 2025Article
- Comparison of Shared Class I HLA-Bound Noncanonical Neoepitopes between Normal and Neoplastic Tissues of Pancreatic Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- The potential applications of peptide-loading complex in cancer treatment.Frontiers in immunology · 2025Review
- DIPAN: Detecting personalized intronic polyadenylation derived neoantigens from RNA sequencing data.Computational and structural biotechnology journal · 2024Article
- Mesothelin- and nucleolin-specific T cells from combined short peptides effectively kill triple-negative breast cancer cells.BMC medicine · 2024Article
- Hsp90 inhibition leads to an increase in surface expression of multiple immunological receptors in cancer cells.Frontiers in molecular biosciences · 2024Article
- A Lysine Residue at the C-Terminus of MHC Class I Ligands Correlates with Low C-Terminal Proteasomal Cleavage Probability.Biomolecules · 2023Article
- Article
- ISOTOPE: ISOform-guided prediction of epiTOPEs in cancer.PLoS computational biology · 2021Article
- Low-dose CDK4/6 inhibitors induce presentation of pathway specific MHC ligands as potential targets for cancer immunotherapy.Oncoimmunology · 2021Article
- Review
- Preconditioning of the tumor microenvironment with oncolytic reovirus converts CD3-bispecific antibody treatment into effective immunotherapy.Journal for immunotherapy of cancer · 2020Article
- Therapeutic applications of the selective high affinity ligand drug SH7139 extend beyond non-Hodgkin's lymphoma to many other types of solid cancers.Oncotarget · 2020Article
- A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.Briefings in bioinformatics · 2020Review
- Review
- Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.BMC bioinformatics · 2019Article
- The role of proteomics in the age of immunotherapies.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Review
- Real-Time Tracking ofFrontiers in immunology · 2018Article
Corrections and comments
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Authors and funding
29 authors at 12 institutions in 4 countries.
Funding
Abstract
To build a catalog of peptides presented by breast cancer cells, we undertook systematic MHC class I immunoprecipitation followed by elution of MHC class I-loaded peptides in breast cancer cells. We determined the sequence of 3196 MHC class I ligands representing 1921 proteins from a panel of 20 breast cancer cell lines. After removing duplicate peptides, i.e., the same peptide eluted from more than one cell line, the total number of unique peptides was 2740. Of the unique peptides eluted, more than 1750 had been previously identified, and of these, sixteen have been shown to be immunogenic. Importantly, half of these immunogenic peptides were shared between different breast cancer cell lines. MHC class I binding probability was used to plot the distribution of the eluted peptides in accordance with the binding score for each breast cancer cell line. We also determined that the tested breast cancer cells presented 89 mutation-containing peptides and peptides derived from aberrantly translated genes, 7 of which were shared between four or two different cell lines. Overall, the high throughput identification of MHC class I-loaded peptides is an effective strategy for systematic characterization of cancer peptides, and could be employed for design of multi-peptide anticancer vaccines. SIGNIFICANCE: By employing proteomic analyses of eluted peptides from breast cancer cells, the current study has built an initial HLA-I-typed antigen collection for breast cancer research. It was also determined that immunogenic epitopes can be identified using established cell lines and that shared immunogenic peptides can be found in different cancer types such as breast cancer and leukemia. Importantly, out of 3196 eluted peptides that included duplicate peptides in different cells 89 peptides either contained mutation in their sequence or were derived from aberrant translation suggesting that mutation-containing epitopes are on the order of 2-3% in breast cancer cells. Finally, our results suggest that interfering with MHC class I function is one of the mechanisms of how tumor cells escape immune system attack.
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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.