Cited by 5vaccines and immunoinformatics approachesCancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Transformers meets neoantigen detection: a systematic literature review

Open access
Machaca, Vicente, Goyzueta, Valeria, Cruz, María Graciel, Sejje, Erika, Pilco, Luz Marina, López, Julio, Túpac, Yván·2024·Journal of Integrative Bioinformatics

Abstract

Cancer immunology offers a new alternative to traditional cancer treatments, such as radiotherapy and chemotherapy. One notable alternative is the development of personalized vaccines based on cancer neoantigens. Moreover, Transformers are considered a revolutionary development in artificial intelligence with a significant impact on natural language processing (NLP) tasks and have been utilized in proteomics studies in recent years. In this context, we conducted a systematic literature review to investigate how Transformers are applied in each stage of the neoantigen detection process. Additionally, we mapped current pipelines and examined the results of clinical trials involving cancer vaccines.

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Authors
Machaca, V., Goyzueta, V., Cruz, M. G., Sejje, E., Pilco, L. M., López, J., & Túpac, Y.
Affiliations
  • 27840 Universidad La Salle , Arequipa , Perú
  • Universidad La Salle (PE)
  • Universidad Católica San Pablo (PE)
  • Universidad Nacional de San Agustin de Arequipa (PE)
  • Fuerza Aérea del Perú , Arequipa , Perú
  • 187038 Universidad Católica San Pablo , Arequipa , Perú
Venue
Journal of Integrative Bioinformatics
Published
2024-06-01
Volume
21
Issue
2
ISSN
  • 1432-4385 (ISSN-L)
  • 1613-4516
OpenAlex
W4400337122
Cited by
5
References
5
Citations by year
2026: 4 · 2025: 1
FWCI
0.20
Type
journal article
Language
en
Open access
Locations
  • Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
De La Salle University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
transformer models, neoantigens, personalized cancer vaccines, cancer immunotherapy, proteomics, natural language processing
MeSH terms
Antigens, Neoplasm, Artificial Intelligence, Humans, Natural Language Processing, Neoplasms, Cancer Vaccines

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