Improved response prediction to immune checkpoint inhibition by combining TMB and WGS-based genomic features in NSCLC

Klaudia Pacewicz; Andrzej Kraszewski; Michał Mędzin; Paulina Nawrocka-Muszyńska; Mateusz Sypniewski; Dawid Sielski; Paweł Sztromwasser; Weronika Majer-Burman; Maciej Piernik; Alicja Woźna; Paweł Zawadzki

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Title

Improved response prediction to immune checkpoint inhibition by combining TMB and WGS-based genomic features in NSCLC

Authors

Klaudia Pacewicz
Andrzej Kraszewski
Michał Mędzin (WIiT) ^{[ 1 ][ S ]}
Paulina Nawrocka-Muszyńska
Mateusz Sypniewski
Dawid Sielski
Paweł Sztromwasser
Weronika Majer-Burman
Maciej Piernik (WIiT) ^{[ 2 ][ 2.3 ][ P ]}
Alicja Woźna
Paweł Zawadzki

^{[ 1 ]} Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ S ]} student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Published in

Journal of Clinical Oncology

Journal year: 2022 | Journal volume: vol. 40 | Journal number: no. 16, suppl.

Article type

abstract

Publication language

english

URL

https://ascopubs.org/doi/abs/10.1200/JCO.2022.40.16_suppl.e21077

Comments

Article Number: e21077

Presented on

2022 ASCO Annual Meeting, 3-7.06.2022, Chicago, United States

Impact Factor

45,4

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