Evidence map›Paper›PMID 29331515›Full record

ArticleJournal of proteomics2018

MHC class I loaded ligands from breast cancer cell lines: A potential HLA-I-typed antigen collection.

Dmitri V Rozanov, Nikita D Rozanov, Kami E Chiotti, Ashok Reddy, Phillip A Wilmarth, Larry L David, Seung W Cha, Sunghee Woo, Pavel Pevzner, Vineet Bafna and 19 more

Open access · hybridAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in immunology · 2021
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. The role of proteomics in the age of immunotherapies.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
  19. Real-Time Tracking ofFrontiers in immunology · 2018
    Article
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

29 authors at 12 institutions in 4 countries.

Dmitri V RozanovDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States. Electronic address: rozanov@ohsu.edu.
Nikita D RozanovOregon State University, Corvallis, OR, United States.
Kami E ChiottiDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Ashok ReddyProteomics Shared Resource, Oregon Health and Science University, Portland, OR, United States.
Phillip A WilmarthProteomics Shared Resource, Oregon Health and Science University, Portland, OR, United States.
Larry L DavidProteomics Shared Resource, Oregon Health and Science University, Portland, OR, United States.
Seung W ChaElectrical and Computer Engineering, University of California, San Diego, CA, United States.
Sunghee WooSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Pavel PevznerThe NIH Center for Computational Mass Spectrometry, University of California, San Diego, San Diego, CA, United States.
Vineet BafnaComputer Science & Engineering, University of California, San Diego, CA, United States.
Gregory G BurrowsNeurology and Biochemistry & Molecular Biology, Oregon Health and Science University, Portland, OR, United States.
Juha K RantalaMisvik biology Ltd, Turku, Finland.
Trevor LevinDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States.
Pavana AnurDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Katie Johnson-CamachoDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Shaadi TabatabaeiDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Daniel J MunsonDepartment of Immunology & Microbiology, University of Colorado, Denver, CO, United States.
Tullia C BrunoDepartment of Immunology, University of Pittsburgh, Pittsburgh, PA, United States.
Jill E SlanskyDepartment of Immunology & Microbiology, University of Colorado, Denver, CO, United States.
John W KapplerNational Jewish Medical and Research Center, Denver, CO, United States.
Naoto HiranoMargaret Cancer Centre, Toronto, Ontario, Canada.
Sebastian BoegelUniversity Medical Center, Johannes Gutenberg-University, Mainz, Germany.
Bernard A FoxLaboratory of Molecular and Tumor Immunology, Chiles Research Institute Providence PDX Medical Center, Portland, OR, United States.
Colt EgelstonCity of Hope National Medical Center, Duarte, CA, United States.
Diana L SimonsCity of Hope National Medical Center, Duarte, CA, United States.
Grecia JimenezCity of Hope National Medical Center, Duarte, CA, United States.
Peter P LeeCity of Hope National Medical Center, Duarte, CA, United States.
Joe W GrayDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States; Center for Health & Healing, Oregon Health and Science University, Portland, OR, United States.
Paul T SpellmanDepartment of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, United States.
Oregon Health & Science University · USCity Of Hope National Medical Center · USUniversity of California San Diego · USUniversity of Colorado Denver · USJohannes Gutenberg University Mainz · DEJohns Hopkins University · USNational Jewish Health · USOregon State University · USPrincess Margaret Cancer Centre · CAProvidence Portland Medical Center · USTurku Centre for Biotechnology · FIUniversity of Pittsburgh · US

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 1995 to 2026
$19.4M
Hair-Bundle ProteinsR01DC002368 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI Peter Gordon Barr-Gillespie · 1994 to 2026
$11.3M
TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
LTQ XL Linear Ion Trap Mass SpectrometerS10RR025571 · NCRR · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVID, LARRY L · 2009 to 2009
$389k
NCI NIH HHS P30 CA069533NCRR NIH HHS S10 RR025571NEI NIH HHS P30 EY010572NIDCD NIH HHS R01 DC002368NIGMS NIH HHS P41 GM103484
6 · The paper itself

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.

Indexed as

Amino Acid SequenceAntigen PresentationAntigens, NeoplasmBreast NeoplasmsCell Line, TumorEpitopesHigh-Throughput Screening AssaysHistocompatibility Antigens Class IHLA AntigensHumansLigandsMutationProteomicsAntigens, NeoplasmEpitopesHistocompatibility Antigens Class IHLA AntigensLigandsBreast cancerMHC class I-restricted peptidesNeo-antigensT cell-mediated immune responseTumor associated antigens

Identifiers

PMID29331515
PMCPMC5999401
OpenAlexW2783423953

What OpenQuestion holds

Textmetadata
LicenceTDM
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.