Evidence map›Paper›PMID 38960869›Full record

SynthesisJournal of integrative bioinformatics2024

Transformers meets neoantigen detection: a systematic literature review.

Vicente Machaca, Valeria Goyzueta, María Graciel Cruz, Erika Sejje, Luz Marina Pilco, Julio López, Yván Túpac

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of integrative bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

7 authors.

Vicente Machaca27840 Universidad La Salle , Arequipa, Perú.ORCID https://orcid.org/0000-0001-8990-5495
Valeria Goyzueta27840 Universidad La Salle , Arequipa, Perú.ORCID https://orcid.org/0000-0002-1748-3649
María Graciel Cruz187038 Universidad Católica San Pablo , Arequipa, Perú.ORCID https://orcid.org/0000-0002-8687-3915
Erika SejjeUniversidad Nacional de San Agustín, Arequipa, Perú.ORCID https://orcid.org/0000-0003-2208-1086
Luz Marina PilcoUniversidad Nacional de San Agustín, Arequipa, Perú.ORCID https://orcid.org/0009-0000-4110-0161
Julio LópezFuerza Aérea del Perú, Arequipa, Perú.ORCID https://orcid.org/0000-0002-4361-5094
Yván Túpac187038 Universidad Católica San Pablo , Arequipa, Perú.ORCID https://orcid.org/0000-0002-7279-3105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antigens, NeoplasmNeoplasmsArtificial IntelligenceCancer VaccinesHumansNatural Language ProcessingAntigens, NeoplasmCancer VaccinesBERTcancerdeep learningneoantigenreviewtransformers

Identifiers

PMID38960869
PMCPMC11377031

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.