neoANT-HILL: an integrated tool for identification of potential neoantigens

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Cancer neoantigens have attracted great interest in immunotherapy due to their capacity to elicit antitumoral responses. These molecules arise from somatic mutations in cancer cells, resulting in alterations on the original protein. Neoantigens identification remains a challenging task due largely to a high rate of false-positives. <bold>Results: </bold>We have...

Topics

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• Antigens, Neoplasm
• Esophageal Neoplasms
• Esophageal Squamous Cell Carcinoma
• Immunotherapy and Immune Responses
• Machine Learning
• Microsatellite Instability
• Mutation
• vaccines and immunoinformatics approaches

Identifiers and source

Literature Corpus work

2b0d536b-e9e5-58e0-90a8-573f0a63d1ae

DOI

10.21203/rs.2.16149/v5