Evidence map›Paper›PMID 38204924›Full record

ArticleNAR cancer2024

CanVaxKB: a web-based cancer vaccine knowledgebase.

Eliyas Asfaw, Asiyah Yu Lin, Anthony Huffman, Siqi Li, Madison George, Chloe Darancou, Madison Kalter, Nader Wehbi, Davis Bartels, Elyse Fleck and 16 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NAR cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. VO: The Vaccine Ontology.Scientific data · 2026
    Article
  2. Article
  3. VO: The Vaccine Ontology.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. 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

26 authors.

Eliyas AsfawCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Asiyah Yu LinUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Anthony HuffmanDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Siqi LiCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Madison GeorgeCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0009-0006-2514-5371
Chloe DarancouCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Madison KalterCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Nader WehbiCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Davis BartelsCollege of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.
Elyse FleckCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Nancy TranCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Daniel FaghihniaCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Kimberly BerkeCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Ronak SutariyaCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI 48109, USA.
Farah ReyalDepartment of Chemical, Biochemical and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Youssef TammamDepartment of Chemical, Biochemical and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Bin ZhaoUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Edison OngDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Zuoshuang XiangUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Virginia HeThe College of Brown University, Brown University, Providence, RI 02912, USA.
Justin SongCollege of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA.
Andrey I SeleznevDietrich School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Jinjing GuoUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0003-1590-8014
Yuanyi PanUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Jie ZhengUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Yongqun HeUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0001-9189-9661

Funding

VIOLIN 2.0: Vaccine Information and Ontology LInked kNowledgebaseU24AI171008 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yongqun He, Junguk Hur · 2022 to 2026
$4.2M
Ontology-based Information Network to Support Vaccine ResearchR01AI081062 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HE, YONGQUN · 2009 to 2012
$1.1M
NIAID NIH HHS R01 AI081062NIAID NIH HHS U24 AI171008
6 · The paper itself

Abstract

Cancer vaccines have been increasingly studied and developed to prevent or treat various types of cancers. To systematically survey and analyze different reported cancer vaccines, we developed CanVaxKB (https://violinet.org/canvaxkb), the first web-based cancer vaccine knowledgebase that compiles over 670 therapeutic or preventive cancer vaccines that have been experimentally verified to be effective at various stages. Vaccine construction and host response data are also included. These cancer vaccines are developed against various cancer types such as melanoma, hematological cancer, and prostate cancer. CanVaxKB has stored 263 genes or proteins that serve as cancer vaccine antigen genes, which we have collectively termed 'canvaxgens'. Top three mostly used canvaxgens are PMEL, MLANA and CTAG1B, often targeting multiple cancer types. A total of 193 canvaxgens are also reported in cancer-related ONGene, Network of Cancer Genes and/or Sanger Cancer Gene Consensus databases. Enriched functional annotations and clusters of canvaxgens were identified and analyzed. User-friendly web interfaces are searchable for querying and comparing cancer vaccines. CanVaxKB cancer vaccines are also semantically represented by the community-based Vaccine Ontology to support data exchange. Overall, CanVaxKB is a timely and vital cancer vaccine source that facilitates efficient collection and analysis, further helping researchers and physicians to better understand cancer mechanisms.

Indexed as

Cancer VaccinesKnowledge BasesNeoplasmsAntigens, NeoplasmHumansInternetAntigens, NeoplasmCancer Vaccines

Identifiers

PMID38204924
PMCPMC10776203

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.