Evidence map›Paper›PMID 33849445›Full record

ArticleBMC bioinformatics2021

TANTIGEN 2.0: a knowledge base of tumor T cell antigens and epitopes.

Guanglan Zhang, Lou Chitkushev, Lars Rønn Olsen, Derin B Keskin, Vladimir Brusic

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. TumorAgDB1.0: tumor neoantigen database platform.Database : the journal of biological databases and curation · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Tumor-Derived Antigenic Peptides as Potential Cancer Vaccines.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  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

5 authors at 4 institutions in 3 countries.

Guanglan ZhangMetropolitan College, Boston University, Boston, USA. guanglan@bu.edu.ORCID http://orcid.org/0000-0001-6010-490X
Lou ChitkushevMetropolitan College, Boston University, Boston, USA.
Lars Rønn OlsenDepartment of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Derin B KeskinDana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
Vladimir BrusicSchool of Computer Science, University of Nottingham, Ningbo, China.
Boston University · USHarvard University · USTechnical University of Denmark · DKUniversity of Nottingham Ningbo China · CN

Funding

Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI David McDermott · 2003 to 2026
$53.4M
Physical detection of HLA-C binding peptides to identify and predict immunogenic personal neoepitopes for improving cancer vaccinesR21CA216772 · NCI · DANA-FARBER CANCER INST · PI KESKIN, DERIN B · 2018 to 2019
$420k
NCI NIH HHS NCI-SPORE-2P50CA101942-11A1NCI NIH HHS P50 CA101942NCI NIH HHS R21 CA216772
6 · The paper itself

Abstract

We previously developed TANTIGEN, a comprehensive online database cataloging more than 1000 T cell epitopes and HLA ligands from 292 tumor antigens. In TANTIGEN 2.0, we significantly expanded coverage in both immune response targets (T cell epitopes and HLA ligands) and tumor antigens. It catalogs 4,296 antigen variants from 403 unique tumor antigens and more than 1500 T cell epitopes and HLA ligands. We also included neoantigens, a class of tumor antigens generated through mutations resulting in new amino acid sequences in tumor antigens. TANTIGEN 2.0 contains validated TCR sequences specific for cognate T cell epitopes and tumor antigen gene/mRNA/protein expression information in major human cancers extracted by Human Pathology Atlas. TANTIGEN 2.0 is a rich data resource for tumor antigens and their associated epitopes and neoepitopes. It hosts a set of tailored data analytics tools tightly integrated with the data to form meaningful analysis workflows. It is freely available at http://projects.met-hilab.org/tadb .

Indexed as

Epitopes, T-LymphocyteNeoplasmsAntigens, NeoplasmHLA AntigensHumansKnowledge BasesT-LymphocytesAntigens, NeoplasmEpitopes, T-LymphocyteHLA AntigensCancer vaccineImmunotherapyNeoantigenNeoepitopeT cell epitope predictionTumor antigen

Identifiers

PMID33849445
PMCPMC8045306
OpenAlexW3156419307

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.