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Fig. 2 | BMC Medicine

Fig. 2

From: Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set

Fig. 2

Melanoma and lung cancer-specific predicted total mutation loads correlate with specific mutagen exposures and nucleotide alterations. a Melanoma samples are ranked (x-axis) according to actual total mutation load (ATML) (y-axis), and the UV rate associated with each sample is displayed by colors (green = less exposure, red = more exposure). b Lung cancer samples are ranked (x-axis) according to ATML (y-axis), and the smoking status associated with each sample is displayed in color (green = never, red = smoker, gray = no data). Note the relative enrichment, but not complete constituency, of low UV-rate and never-smokers in less mutated samples, respectively. Samples were derived from the skin cutaneous melanoma (SKCM; n = 345) and lung adenocarcinoma (LUAD; n = 230) TCGA cohorts [11, 17]. LUSC, lung squamous cell carcinoma samples; NSCLC, not otherwise specified non-small cell lung carcinoma samples

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