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September 16, 2024

Table S8 from Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer

Nina Müller Carina Lorenz Jenny Ostendorp Felix S. Heisel Ulrich P. Friese Maria Cartolano Dennis Plenker Hannah L. Tumbrink Alena Heimsoeth Philipp Baedeker Sandra Ortiz‐Cuaran Jonathan Weiss Reinhard Büttner Martin Peifer Roman K. Thomas Martin L. Sos Johannes Berg Johannes Brägelmann

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Abstract

Suppl. Table S8, candidates from CRISPR activation screen

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Müller et al. (2024) studied this question.

synapsesocial.com/papers/68e587eeb6db643587523c78 https://doi.org/10.1158/0008-5472.27028141.v1

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Table S8 from Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer2024
2Table S7 from Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer2024
3Table S7 from Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer2024
4Table S6 from Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer2024
5Table S6 from Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer2024