In a previous work, we have reported the analysis of 37 colon cancer patients using the Ion AmpliSeq™ Comprehensive Cancer Panel (CCP) (Oliveira et al., under review). In that work, patients who had undergone surgery for colon cancer at the General Surgery Unit of University Magna Graecia of Catanzaro in the years 2013–2015 were studied. Complete demographic and clinical information of patients are reported in Additional file
1. DNA was extracted from matched normal and pathological tissues and subjected to NGS analysis on the Ion Torrent platform using the CCP (ThermoFisher Scientific, MA, USA), that provides complete exon coverage of the 409 most important cancer-associated genes.
As indicated in Oliveira et al., (under review), the sequencing performance achieved was: 13 × 106 mean number reads/sample, 791 (range 102.5–2656) mean sequence coverage depth of targeted exonic regions of the 409 genes analysed, with median uniformity of sequenced genes 97% (range 0.7–0.99). Common germ-line variants were removed by filtering sequentially through a pool of peripheral blood samples available from some patients (n = 12), the dbSNP141 and the 1000 Genomes Project data sets. Variants were functionally annotated using the algorithms Sift and Polyphen2 to predict their pathogenicity.
In this manuscript, we have re-analysed the data generated in the manuscript from Oliveira et al., focusing on genes encoding receptor-type tyrosine kinase (RTK). The number of RTK genes contained in the Comprehensive Cancer Panel that were object of the present study is 31. Overall, upon analysis of the data reported in Oliveira et al. we have observed 101 different potentially damaging variants distributed across 31 RTK genes. See Additional file
2 for a general summary of the analysis. We have found that 28 patients out of 37 presented variants in at least one gene encoding RTK, with the remaining 9 patients showing no variant in any of the 31 RTK genes. The mean number of mutated RTK genes/patient was 3.4 (range 1–13). Of the 28 samples that presented mutations in RTK genes, 8 patients had only one mutated gene, 6 had two different mutated genes and 14 presented 3 or more mutated genes. See Additional file
3 for patient-by-patient analysis of the results. Among RTK genes that presented variants, we observed variants in FLT4 (G1131S, R104Q, E1052K, D1003N, D728N, P707L, R362L, R282*, Q213*, G180R, P138S, E36* and 3 frameshifts) in 10 patients, ROS1 (S277Y, P437L, S653F, T804 N, Q1127*, G1709C and QG1708HC) in 7 patients, EPHA7 (D839G, P805L and P278S) in 6 patients, RET (R77C, P270L, G533C, P1047S) in 4 patients and MET (A320V, R988C) in 2 patients. In addition, ERBB2 variants (S310F, W482C, Q533*, T631A, S819F, A1216D) were detected in 6 patients, EGFR (R669*, W731*, D807E, L933P) and ERBB4 (R983K, M977 V, R847H, T244I) variants were detected in 4 patients, and ERBB3 variants (T389I, V850 M) were detected in 2 patients. FGFR1 (D784E, A131V) and FGFR2 (G302 K, L104P) variants were detected in 2 patients, whereas FGFR3 (D320N, A352E, A571V, T653I) and FGFR4 variants (R130C, KE144RG, F859 L, T912I) were detected in 4 patients. Eight tumors presented variants in only one RTK gene (FLT4, EGFR, ERBB4, ROS1, and EPHA7), which suggests that these variants can represent driving mutations. Accordingly, the variants detected in the EGFR, ERBB4 and FLT4 were present in the COSMIC database. Conversely, co-occurrence of variants in different genes encoding RTKs was frequent, occurring in 20 tumors out of 37 analysed (54%). Co-occurrence of variants included 2 different genes (FGFR4/NTRK1, ERRB3/FLT3, ALK/ERBB4, EPHA3/EPHA7, EPHB4/ROS1, and FLT4/LTK) in 6 cases and three or more genes in the remaining 14 cases. Notably, some samples showed variants in numerous genes encoding RTK (CC27, 11 genes; CC34, 13 genes; CC12, 8 genes).