Evidence map›Paper›PMID 27622074›Full record

ArticleOncoimmunology2016

Carcinogenesis of renal cell carcinoma reflected in HLA ligands: A novel approach for synergistic peptide vaccination design.

Martin G Klatt, Daniel J Kowalewski, Heiko Schuster, Moreno Di Marco, Jörg Hennenlotter, Arnulf Stenzl, Hans-Georg Rammensee, Stefan Stevanović

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

8 authors at 2 institutions in 1 country.

Martin G KlattDepartment of Hematology and Oncology, University of Tübingen , Tübingen, Germany.
Daniel J KowalewskiInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), DKFZ Partner Site, Tübingen, Germany.
Heiko SchusterInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), DKFZ Partner Site, Tübingen, Germany.
Moreno Di MarcoInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), DKFZ Partner Site, Tübingen, Germany.
Jörg HennenlotterDepartment of Urology, University of Tübingen , Tübingen, Germany.
Arnulf StenzlDepartment of Urology, University of Tübingen , Tübingen, Germany.
Hans-Georg RammenseeInstitute for Cell Biology, Department of Immunology, University of Tübingen , Tübingen, Germany.
Stefan StevanovićInstitute for Cell Biology, Department of Immunology, University of Tübingen , Tübingen, Germany.
University of Tübingen · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite recent advances in immunotherapy of renal cell carcinoma (RCC), peptide vaccination strategies still lack an approach for personalized peptide vaccination that takes intra- and inter-tumoral heterogeneity and biological characteristics into account. In this study, we use an immunoprecipitation and mass spectrometry-based approach supplemented by network analysis of HLA ligands to target this goal. By analyzing HLA-presented peptides for HLA class I and II of 11 malignant and 6 non-malignant kidney tissue samples, more than 2,700 peptides and 1,600 corresponding source proteins were identified. A high overlap with HLA ligands derived from peripheral blood mononuclear cells (PBMCs) was detected most likely due to tumor-infiltrating inflammatory cells and therefore excluded from network analysis. Subsequent biological function analysis of HLA ligands by the GeneMANIA online platform showed enrichment for well established, but also novel, pathways and biological processes involved in carcinogenesis of RCC almost exclusively in malignant tissue samples. By exploring source proteins involved in these overrepresented pathways, we verified various known tumor-associated antigens (TAAs) for RCC (e.g., CA9, EGLN3, IGFBP3, MMP7, PAX2, VEGFA, or EGFR) but could also detect novel TAAs for RCC (e.g., PLOD2, LOX, ENPEP, or TGFBI). Some of these new TAAs had already been shown to elicit a T cell response in cancer patients. Thus, network analysis of HLA ligands provided a new platform for implementing personalized, multipeptide vaccines with potentially synergistic antitumor effects.

Indexed as

HLA ligandsImmunotherapynetwork analysispeptide vaccinationrenal cell carcinomatumor-associated antigens

Identifiers

PMID27622074
PMCPMC5007970
OpenAlexW2463792207

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.