Evidence map›Paper›PMID 32228647›Full record

ArticleGenome medicine2020

Integrative -omics and HLA-ligandomics analysis to identify novel drug targets for ccRCC immunotherapy.

Anna Reustle, Moreno Di Marco, Carolin Meyerhoff, Annika Nelde, Juliane S Walz, Stefan Winter, Siahei Kandabarau, Florian Büttner, Mathias Haag, Linus Backert and 12 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 102 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Peptidomics Strategies to Evaluate Cancer Diagnosis, Prognosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  18. Review
  19. Article
  20. 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

22 authors at 3 institutions in 1 country.

Anna ReustleDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Moreno Di MarcoDepartment of Immunology, Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany.
Carolin MeyerhoffDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Annika NeldeDepartment of Immunology, Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany.
Juliane S WalzClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), University Hospital Tuebingen, Tuebingen, Germany.
Stefan WinterDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Siahei KandabarauDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Florian BüttnerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Mathias HaagDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Linus BackertDepartment of Immunology, Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany.
Daniel J KowalewskiDepartment of Immunology, Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany.
Steffen RauschDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Jörg HennenlotterDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Viktoria StühlerDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Marcus ScharpfInstitute of Pathology and Neuropathology, University Hospital Tuebingen, Tuebingen, Germany.
Falko FendInstitute of Pathology and Neuropathology, University Hospital Tuebingen, Tuebingen, Germany.
Arnulf StenzlDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Hans-Georg RammenseeDepartment of Immunology, Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany.
Jens BedkeDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Stefan StevanovićDepartment of Immunology, Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany. matthias.schwab@ikp-stuttgart.de.
Elke SchaeffelerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
University of Tübingen · DEDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEDeutschen Konsortium für Translationale Krebsforschung · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is the dominant subtype of renal cancer. With currently available therapies, cure of advanced and metastatic ccRCC is achieved only in rare cases. Here, we developed a workflow integrating different -omics technologies to identify ccRCC-specific HLA-presented peptides as potential drug targets for ccRCC immunotherapy.

methodsWe analyzed HLA-presented peptides by MS-based ligandomics of 55 ccRCC tumors (cohort 1), paired non-tumor renal tissues, and 158 benign tissues from other organs. Pathways enriched in ccRCC compared to its cell type of origin were identified by transcriptome and gene set enrichment analyses in 51 tumor tissues of the same cohort. To retrieve a list of candidate targets with involvement in ccRCC pathogenesis, ccRCC-specific pathway genes were intersected with the source genes of tumor-exclusive peptides. The candidates were validated in an independent cohort from The Cancer Genome Atlas (TCGA KIRC, n = 452). DNA methylation (TCGA KIRC, n = 273), somatic mutations (TCGA KIRC, n = 392), and gene ontology (GO) and correlations with tumor metabolites (cohort 1, n = 30) and immune-oncological markers (cohort 1, n = 37) were analyzed to characterize regulatory and functional involvements. CD8

resultsA total of 34,226 HLA class I- and 19,325 class II-presented peptides were identified in ccRCC tissue, of which 443 class I and 203 class II peptides were ccRCC-specific and presented in ≥ 3 tumors. One hundred eighty-five of the 499 corresponding source genes were involved in pathways activated by ccRCC tumors. After validation in the independent cohort from TCGA, 113 final candidate genes remained. Candidates were involved in extracellular matrix organization, hypoxic signaling, immune processes, and others. Nine of the 12 peptides assessed by immunogenicity analysis were able to activate naïve CD8

conclusionsIntegration of HLA ligandomics, transcriptomics, genetic, and epigenetic data leads to the identification of novel functionally relevant therapeutic targets for ccRCC immunotherapy. Validation of the identified targets is recommended to expand the treatment landscape of ccRCC.

Indexed as

AdultAgedAged, 80 and overBinding SitesCarcinoma, Renal CellCell Line, TumorFemaleGenomicsHLA AntigensHumansHypoxia-Inducible Factor-Proline DioxygenasesImmunotherapyKidneyKidney NeoplasmsLigandsLymphocyte ActivationEGLN3 protein, humanHLA AntigensHypoxia-Inducible Factor-Proline DioxygenasesLigandsPeptide FragmentsCancer vaccineccRCCHLA peptidomeImmunotherapyKidney cancerLigandomicsPeptide vaccineRenal cell carcinoma

Identifiers

PMID32228647
PMCPMC7106651
OpenAlexW3013057530

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.