2022
DOI: 10.1007/978-1-0716-2573-6_7
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Design of Personalized Neoantigen RNA Vaccines Against Cancer Based on Next-Generation Sequencing Data

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Cited by 4 publications
(3 citation statements)
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“…Although it is a time for optimism in cancer immunotherapy, several exceptional questions remain unanswered. Although several predictive biomarkers have been widely investigated for immunotherapy response [156], currently only a few tumor-agnostic biomarkers are FDA-approved [157,158]. Furthermore, despite the many options available for immunotherapy, there is still no evidence to help us choose which of these deserves to be used in clinical trials over another.…”
Section: Discussionmentioning
confidence: 99%
“…Although it is a time for optimism in cancer immunotherapy, several exceptional questions remain unanswered. Although several predictive biomarkers have been widely investigated for immunotherapy response [156], currently only a few tumor-agnostic biomarkers are FDA-approved [157,158]. Furthermore, despite the many options available for immunotherapy, there is still no evidence to help us choose which of these deserves to be used in clinical trials over another.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, the identification of neoantigens in hepatocellular carcinoma (HCC) still presents a challenge. But with the emergence of next-generation sequencing technologies and advanced algorithms, the process of selecting neoantigens for personalized mRNA vaccines has become more attainable and feasible [ 51 ].…”
Section: Current Research Stage Of Applying Neoantigen Mrna Vaccine I...mentioning
confidence: 99%
“…Cancer vaccination is another clinical area that is considered a promising therapeutic strategy in treating solid tumors, and the wide accessibility of NGS has brought personalized cancer vaccines to the forefront of cancer research. Several studies have discussed the applications of NGS in the prediction of neoantigen targets for cancer vaccines and the design of personalized neoantigen RNA vaccines against cancer [ 8 , 9 ].…”
mentioning
confidence: 99%