Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy
A molecular tumor board (MTB) is often used as a platform that integrates clinical and molecular parameters for clinical decision making. Here, the authors review the outcome of 715 cancer patients presented at their institution’s MTB, and demonstrate that patients who received a MTB-recommended reg...
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Nature Portfolio
2020
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oai:doaj.org-article:be2daa0bb1884adbb304041e571d8edf2021-12-02T19:16:55ZReal-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy10.1038/s41467-020-18613-32041-1723https://doaj.org/article/be2daa0bb1884adbb304041e571d8edf2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18613-3https://doaj.org/toc/2041-1723A molecular tumor board (MTB) is often used as a platform that integrates clinical and molecular parameters for clinical decision making. Here, the authors review the outcome of 715 cancer patients presented at their institution’s MTB, and demonstrate that patients who received a MTB-recommended regimen received therapy that was better matched to their alterations and achieved better clinical outcomes.Shumei KatoKi Hwan KimHyo Jeong LimAmelie BoichardMina NikanjamElizabeth WeiheDennis J. KuoRamez N. EskanderAaron GoodmanNatalie GalaninaPaul T. FantaRichard B. SchwabRebecca ShatskySteven C. PlaxeAndrew SharabiEdward StitesJacob J. AdashekRyosuke OkamuraSuzanna LeeScott M. LippmanJason K. SicklickRazelle KurzrockNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020) |
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Science Q Shumei Kato Ki Hwan Kim Hyo Jeong Lim Amelie Boichard Mina Nikanjam Elizabeth Weihe Dennis J. Kuo Ramez N. Eskander Aaron Goodman Natalie Galanina Paul T. Fanta Richard B. Schwab Rebecca Shatsky Steven C. Plaxe Andrew Sharabi Edward Stites Jacob J. Adashek Ryosuke Okamura Suzanna Lee Scott M. Lippman Jason K. Sicklick Razelle Kurzrock Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy |
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A molecular tumor board (MTB) is often used as a platform that integrates clinical and molecular parameters for clinical decision making. Here, the authors review the outcome of 715 cancer patients presented at their institution’s MTB, and demonstrate that patients who received a MTB-recommended regimen received therapy that was better matched to their alterations and achieved better clinical outcomes. |
format |
article |
author |
Shumei Kato Ki Hwan Kim Hyo Jeong Lim Amelie Boichard Mina Nikanjam Elizabeth Weihe Dennis J. Kuo Ramez N. Eskander Aaron Goodman Natalie Galanina Paul T. Fanta Richard B. Schwab Rebecca Shatsky Steven C. Plaxe Andrew Sharabi Edward Stites Jacob J. Adashek Ryosuke Okamura Suzanna Lee Scott M. Lippman Jason K. Sicklick Razelle Kurzrock |
author_facet |
Shumei Kato Ki Hwan Kim Hyo Jeong Lim Amelie Boichard Mina Nikanjam Elizabeth Weihe Dennis J. Kuo Ramez N. Eskander Aaron Goodman Natalie Galanina Paul T. Fanta Richard B. Schwab Rebecca Shatsky Steven C. Plaxe Andrew Sharabi Edward Stites Jacob J. Adashek Ryosuke Okamura Suzanna Lee Scott M. Lippman Jason K. Sicklick Razelle Kurzrock |
author_sort |
Shumei Kato |
title |
Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy |
title_short |
Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy |
title_full |
Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy |
title_fullStr |
Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy |
title_full_unstemmed |
Real-world data from a molecular tumor board demonstrates improved outcomes with a precision N-of-One strategy |
title_sort |
real-world data from a molecular tumor board demonstrates improved outcomes with a precision n-of-one strategy |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/be2daa0bb1884adbb304041e571d8edf |
work_keys_str_mv |
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