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There were several mutation coincidences with frequencies of ≥5%: TP53 mutation with KRAS or EGFR mutation in the Western/ADC and Asian/ADC subgroups; LKB1 mutation with TP53 or KRAS mutation in the Western/ADC subgroup; and TP53 mutation with LKB1 mutation in the Western/SCC subgroup.
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The mutMap highlighted mutation coincidences occurring in ≥5% of patients, including TP53 with KRAS or EGFR mutations in patients with ADC, and TP53 with LKB1 mutation in Western patients.
Data were collated for the nine genes with the most complete mutation coincidence data (not necessarily the most commonly mutated genes in NSCLC).
The nine genes with the most complete mutation coincidence data across the four patient subgroups were TP53, EGFR, KRAS, LKB1, EML4-ALK, PTEN, BRAF, PIK3CA, and ErbB2.
Nine genes with the most complete published mutation coincidence data were evaluated.
A 'mutMap' was created to visually represent mutation coincidence.
Advances in our understanding of mutation coincidence may be useful in enabling more specific diagnoses and guiding treatment paradigms.
Here, we report two meta-analyses: the first investigated patterns of mutation coincidence, and the second investigated incidences of individual mutations, both according to ethnicity and histology.
One meta-analysis generated a 'mutMap' to visually represent mutation coincidence by ethnicity (Western/Asian) and histology (adenocarcinoma [ADC] or squamous cell carcinoma).
The Cancer Genome Atlas [ 22, 23] and the Clinical Lung Cancer Genome Project [ 24] will provide further large-scale data on mutation coincidence in NSCLC in Western populations.
As TSG mutations often coincide with oncogenic mutations [ 10], analyses of coincidence may facilitate subdivision of molecular pathology segments.
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