ImmuniT Platform for Improved Neoantigen Prediction in Lung Cancer

These findings highlight ImmuniT's potential to expand the repertoire of actionable tumor antigens and improve personalized immunotherapy strategies, particularly for patients with limited response to existing treatments.

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Publication Details

Journal
Vaccines
Published
2025-08-29
DOI
https://doi.org/10.3390/vaccines13090921
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
1.36

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article

ImmuniT Platform for Improved Neoantigen Prediction in Lung Cancer

Stephanie J. Hachey, Hari B. Keshava, Christopher C.W. Hughes, Alexander G. Forsythe
1 citations
Vaccines
Monoclonal and Polyclonal Antibodies Research
1.36
article

ImmuniT Platform for Improved Neoantigen Prediction in Lung Cancer

Stephanie J. Hachey, Hari B. Keshava, Christopher C.W. Hughes, Alexander G. Forsythe
article en
1 citations

Abstract

These findings highlight ImmuniT's potential to expand the repertoire of actionable tumor antigens and improve personalized immunotherapy strategies, particularly for patients with limited response to existing treatments.

VaccinesVol. 13(9)
Simon Fraser University (CA), University of California, Irvine (US), Irvine University (US)
U.S. Department of Defense, National Institutes of Health, National Center for Advancing Translational Sciences
Openalex Percentile: Top 16%
Monoclonal and Polyclonal Antibodies Research
1.36
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