Extended Data Fig. 3: The somatic mutational driver landscape of tumours prior to neoadjuvant therapy. | Nature

Extended Data Fig. 3: The somatic mutational driver landscape of tumours prior to neoadjuvant therapy.

From: Multi-omic machine learning predictor of breast cancer therapy response

Extended Data Fig. 3: The somatic mutational driver landscape of tumours prior to neoadjuvant therapy.

Oncoprint showing somatic mutations in breast cancer driver gene identified using WES. Cases classified by RCB class. Multiple mutations in a case are denoted by a white × . Truncating mutations (red) include nonsense, splice site and frame shift insertions and deletions. In-frame mutations (yellow) include in-frame insertions and deletions. Other mutations (green) include silent exonic mutations, 3’ and 5’ UTR flank mutations and intronic mutations.

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