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To prepare for the sorting, the researchers used a machine-learning technique in which about 50 characteristics or properties associated with cancer-causing mutations were given numerical values and programmed into the system.
Clinical samples were tested for EGFR mutations by peptide nucleic acid-locked nucleic acid PCR clamp, and patients having EGFR mutations were given gefitinib 250 mg daily as the second treatment after chemotherapy.
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Details of the mutations are given in table 1.
Detailed information on all identified mutations is given in Table S3.
Details of individual mutations are given in Table 2.
Incidences of the mutations are given in Figure 1.
*: number of heterozygous/homozygous mutations are given for each of the three mutations classes.
Primers and conditions for these 11 mutations are given in detail in the Supporting information.
Detailed information on the types of the detected mutations is given in Table 1.
Symbols representing the different types of mutations are given in legend of Fig. 1.
Detailed information on the types of detected mutations is given in Table 2.
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