1082P Improved response prediction to immune checkpoint inhibitors by combining TMB and WGS-driven genomic features in NSCLC.

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Title: 1082P Improved response prediction to immune checkpoint inhibitors by combining TMB and WGS-driven genomic features in NSCLC.
Authors: Nawrocka-Muszyńska, P.1 (AUTHOR), Pacewicz, K.2 (AUTHOR), Mędzin, M.2 (AUTHOR), Sztromwasser, P.2 (AUTHOR), Dąbrowski, M.2 (AUTHOR), Sielski, D.2 (AUTHOR), Burman, W.2 (AUTHOR), Matkowski, R.3,4 (AUTHOR), Kasprzak, P.3 (AUTHOR), Szymański, S.5 (AUTHOR), Piernik, M.2,6 (AUTHOR), Woźna, A.7 (AUTHOR), Zawadzki, P.7 (AUTHOR)
Source: Annals of Oncology. 2022 Supplement 7, Vol. 33, pS1047-S1048. 2p.
Database: Academic Search Ultimate
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An: 159077993
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      – Type: doi
        Value: 10.1016/j.annonc.2022.07.1208
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      – Code: eng
        Text: English
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        PageCount: 2
        StartPage: S1047
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      – TitleFull: 1082P Improved response prediction to immune checkpoint inhibitors by combining TMB and WGS-driven genomic features in NSCLC.
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              M: 09
              Text: 2022 Supplement 7
              Type: published
              Y: 2022
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