Evidence map›Paper›PMID 26138685›Full record

ArticleBlood2015

The antigenic landscape of multiple myeloma: mass spectrometry (re)defines targets for T-cell-based immunotherapy.

Simon Walz, Juliane S Stickel, Daniel Johannes Kowalewski, Heiko Schuster, Katja Weisel, Linus Backert, Stefan Kahn, Annika Nelde, Tatjana Stroh, Martin Handel and 5 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Blood, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 107 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Drug Discovery of DKK1 Inhibitors.Frontiers in pharmacology · 2022
    Review

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 3 countries.

Simon WalzDepartment of Hematology and Oncology, Institute for Cell Biology, Department of Immunology, and.
Juliane S StickelDepartment of Hematology and Oncology.
Daniel Johannes KowalewskiInstitute for Cell Biology, Department of Immunology, and.
Heiko SchusterInstitute for Cell Biology, Department of Immunology, and.
Katja WeiselDepartment of Hematology and Oncology.
Linus BackertInstitute for Cell Biology, Department of Immunology, and Applied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany;
Stefan KahnInstitute for Cell Biology, Department of Immunology, and.
Annika NeldeInstitute for Cell Biology, Department of Immunology, and.
Tatjana StrohInstitute for Cell Biology, Department of Immunology, and.
Martin HandelDepartment of Orthopedics, Hospital Group South-West, Calw, Germany; and.
Oliver KohlbacherApplied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany;
Lothar KanzDepartment of Hematology and Oncology.
Helmut Rainer SalihDepartment of Hematology and Oncology, Clinical Cooperation Unit Translational Immunology and.
Hans-Georg RammenseeInstitute for Cell Biology, Department of Immunology, and Cancer Immunotherapy Unit, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.
Stefan StevanovićInstitute for Cell Biology, Department of Immunology, and Cancer Immunotherapy Unit, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site Tübingen, Tübingen, Germany.
Institut de Biologie Moléculaire et Cellulaire · FRPalmetto Hematology Oncology · USGerman Cancer Research Center · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct analysis of HLA-presented antigens by mass spectrometry provides a comprehensive view on the antigenic landscape of different tissues/malignancies and enables the identification of novel, pathophysiologically relevant T-cell epitopes. Here, we present a systematic and comparative study of the HLA class I and II presented, nonmutant antigenome of multiple myeloma (MM). Quantification of HLA surface expression revealed elevated HLA molecule counts on malignant plasma cells compared with normal B cells, excluding relevant HLA downregulation in MM. Analyzing the presentation of established myeloma-associated T-cell antigens on the HLA ligandome level, we found a substantial proportion of antigens to be only infrequently presented on primary myelomas or to display suboptimal degrees of myeloma specificity. However, unsupervised analysis of our extensive HLA ligand data set delineated a panel of 58 highly specific myeloma-associated antigens (including multiple myeloma SET domain containing protein) which are characterized by frequent and exclusive presentation on myeloma samples. Functional characterization of these target antigens revealed peptide-specific, preexisting CD8(+) T-cell responses exclusively in myeloma patients, which is indicative of pathophysiological relevance. Furthermore, in vitro priming experiments revealed that peptide-specific T-cell responses can be induced in response-naive myeloma patients. Together, our results serve to guide antigen selection for T-cell-based immunotherapy of MM.

Indexed as

AdultAgedAntigen PresentationAntigens, NeoplasmCD8-Positive T-LymphocytesEpitopes, T-LymphocyteFemaleHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansImmunotherapyLymphocyte ActivationMaleMiddle AgedMultiple MyelomaTandem Mass SpectrometryAntigens, NeoplasmEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class II

Identifiers

PMID26138685
PMCPMC4608392
OpenAlexW1812160849

What OpenQuestion holds

Textmetadata
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.