Evidence map›Paper›PMID 30340600›Full record

ArticleJournal of translational medicine2018

Unique true predicted neoantigens (TPNAs) correlates with anti-tumor immune control in HCC patients.

Annacarmen Petrizzo, Maria Tagliamonte, Angela Mauriello, Valerio Costa, Marianna Aprile, Roberta Esposito, Andrea Caporale, Antonio Luciano, Claudio Arra, Maria Lina Tornesello and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Decoding the human CD4Cell reports. Medicine · 2026
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  4. A tumor-binding antibody with cross-reactivity to viral antigens.Cancer immunology, immunotherapy : CII · 2025
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  5. Review
  6. Lack of shared neoantigens in prevalent mutations in cancer.Journal of translational medicine · 2024
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  7. Cross-reactive CD8Journal of experimental & clinical cancer research : CR · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Peptide-based vaccine for cancer therapies.Frontiers in immunology · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
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  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

12 authors at 3 institutions in 1 country.

Annacarmen PetrizzoLaboratory of Cancer Immunoregulation, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, Via Mariano Semmola, 1, 80131, Naples, Italy.
Maria TagliamonteLaboratory of Cancer Immunoregulation, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, Via Mariano Semmola, 1, 80131, Naples, Italy.
Angela MaurielloLaboratory of Cancer Immunoregulation, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, Via Mariano Semmola, 1, 80131, Naples, Italy.
Valerio CostaInstitute of Genetics and Biophysics "A. Buzzati-Traverso" (IGB), National Research Council, 80131, Naples, Italy.
Marianna AprileInstitute of Genetics and Biophysics "A. Buzzati-Traverso" (IGB), National Research Council, 80131, Naples, Italy.
Roberta EspositoInstitute of Genetics and Biophysics "A. Buzzati-Traverso" (IGB), National Research Council, 80131, Naples, Italy.
Andrea CaporaleInstitute of Biostructures and Biomaging (IBB), National Research Council, 80134, Naples, Italy.
Antonio LucianoAnimal Facility, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, 80131, Naples, Italy.
Claudio ArraAnimal Facility, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, 80131, Naples, Italy.
Maria Lina TorneselloLaboratory of Molecular Biology and Viral Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, 80131, Naples, Italy.
Franco M BuonaguroLaboratory of Molecular Biology and Viral Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, 80131, Naples, Italy.
Luigi BuonaguroLaboratory of Cancer Immunoregulation, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione Pascale"-IRCCS, Via Mariano Semmola, 1, 80131, Naples, Italy. l.buonaguro@istitutotumori.na.it.ORCID 0000-0002-6380-7114
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITInstitute of Genetics and Biophysics · ITInstitute of Biostructure and Bioimaging · IT

Funding

FP7 Health 602893Horizon 2020 Framework Programme 643638
6 · The paper itself

Abstract

backgroundA novel prediction algorithm is needed for the identification of effective tumor associated mutated neoantigens. Only those with no homology to self wild type antigens are true predicted neoantigens (TPNAs) and can elicit an antitumor T cell response, not attenuated by central tolerance. To this aim, the mutational landscape was evaluated in HCV-associated hepatocellular carcinoma.

methodsLiver tumor biopsies and adjacent non-tumor liver tissues were obtained from 9 HCV-chronically infected subjects and subjected to RNA-Seq analysis. Mutant peptides were derived from single nucleotide variations and TPNAs were predicted using two prediction servers (e.g. NetTepi and NetMHCstabpan) by comparison with corresponding wild-type sequences, non-related self and pathogen-related antigens. Immunological confirmation was obtained in preclinical as well as clinical setting.

resultsThe development of such an improved algorithm resulted in a handful of TPNAs despite the large number of predicted neoantigens. Furthermore, TPNAs may share homology to pathogen's antigens and be targeted by a pre-existing T cell immunity. Cross-reactivity between such antigens was confirmed in an experimental pre-clinical setting. Finally, TPNAs homologous to pathogen's antigens were found in the only HCC long-term survival patient, suggesting a correlation between the pre-existing T cell immunity specific for these TPNAs and the favourable clinical outcome.

conclusionsThe new algorithm allowed the identification of the very few TPNAs in cancer cells, and those targeted by a pre-existing immunity strongly correlated with long-term survival. Only such TPNAs represent the optimal candidates for immunotherapy strategies.

Indexed as

AgedAmino Acid SequenceAnimalsAntigens, NeoplasmBinding SitesCancer SurvivorsCarcinoma, HepatocellularCell LineComputer SimulationDisease Models, AnimalEpitopesGene Expression ProfilingGene Expression Regulation, NeoplasticHepacivirusHistocompatibility Antigens Class IHumansAntigens, NeoplasmEpitopesHistocompatibility Antigens Class ICancer vaccineImmunotherapyLiver cancerNeoantigensPersonalized treatment

Identifiers

PMID30340600
PMCPMC6194606
OpenAlexW2896742733

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.