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introduction
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Well-established examples include KIT mutations in gastrointestinal stromal tumors (GISTs) that predict response to imatinib or nilotinib, and non-small cell lung cancers with EGFR mutations that are sensitive to erlotinib[>>1<<], [2], [3].
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Well-established examples include KIT mutations in gastrointestinal stromal tumors (GISTs) that predict response to imatinib or nilotinib, and non-small cell lung cancers with EGFR mutations that are sensitive to erlotinib[1], [>>2<<], [3]. The presence of other mutations predicts a lack of response to targeted therapy.
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Well-established examples include KIT mutations in gastrointestinal stromal tumors (GISTs) that predict response to imatinib or nilotinib, and non-small cell lung cancers with EGFR mutations that are sensitive to erlotinib[1], [2], [>>3<<]. The presence of other mutations predicts a lack of response to targeted therapy.
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For example, lung and colorectal cancers that harbor mutations in the KRAS oncogene are unresponsive to treatment with anti-EGFR agents[>>4<<], and inactivating PTEN mutations (or protein loss) in glioblastomas predict resistance to erlotinib[5].
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example, lung and colorectal cancers that harbor mutations in the KRAS oncogene are unresponsive to treatment with anti-EGFR agents[4], and inactivating PTEN mutations (or protein loss) in glioblastomas predict resistance to erlotinib[>>5<<]. Thus, clinical decision-making based on tumor genetic information will increasingly be informed by the mutational status of multiple cancer genes.
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results
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In contrast, the sensitivity of conventional Sanger sequencing was 83.3% for fresh frozen tissue and 76.0% for FFPE-derived DNA, confirming the heightened performance of genotyping-based mutation profiling [>>7<<].
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Tumors harboring these mutations may respond to a selective BRAF inhibitor[>>6<<], [9]. We also identified 96 samples across seven different cancer types (breast n = 14, colorectal n = 24, endometrial n = 15, esophageal n = 4, gastric n = 34, prostate n = 3, and pediatric astrocytoma n = 2) harboring mutations in
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Established examples include KRAS mutations in non-small cell lung cancer (23%) and colorectal cancer (38%) that confer resistance to erlotinib, gefitinib (lung) or cetuximab (colorectal)[>>4<<], [10], [11].
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Established examples include KRAS mutations in non-small cell lung cancer (23%) and colorectal cancer (38%) that confer resistance to erlotinib, gefitinib (lung) or cetuximab (colorectal)[4], [>>10<<], [11]. While 94% of KRAS mutations identified localized to codons 12 or 13, 6% occurred elsewhere in the gene (most commonly at codon 61). Since most studies of KRAS-associated resistance have focused exclusively on codons 12 and 13[3],
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Established examples include KRAS mutations in non-small cell lung cancer (23%) and colorectal cancer (38%) that confer resistance to erlotinib, gefitinib (lung) or cetuximab (colorectal)[4], [10], [>>11<<]. While 94% of KRAS mutations identified localized to codons 12 or 13, 6% occurred elsewhere in the gene (most commonly at codon 61). Since most studies of KRAS-associated resistance have focused exclusively on codons 12 and 13[3], [12],
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Since most studies of KRAS-associated resistance have focused exclusively on codons 12 and 13[>>3<<], [12], [13], OncoMap identified additional KRAS mutations that may influence sensitivity to anti-EGFR treatment.
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Since most studies of KRAS-associated resistance have focused exclusively on codons 12 and 13[3], [>>12<<], [13], OncoMap identified additional KRAS mutations that may influence sensitivity to anti-EGFR treatment.
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Since most studies of KRAS-associated resistance have focused exclusively on codons 12 and 13[3], [12], [>>13<<], OncoMap identified additional KRAS mutations that may influence sensitivity to anti-EGFR treatment.
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In GIST tumors, where 31 KIT mutations were identified in 25 samples; both primary (imatinib-responsive) and secondary (imatinib-resistant) KIT mutations were observed, in keeping with prior mutation profiling studies [>>7<<]. In particular, several KIT mutations involving exon 9 (KIT Y503_or F504insAY; 5 cases) were detected in untreated GIST tumors. These mutations are associated with an increased drug requirement to elicit a clinical response [14], [15]. A
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These mutations are associated with an increased drug requirement to elicit a clinical response [>>14<<], [15]. A PDGFRA mutation (D842V) predictive of resistance to imatinib [15] was also identified in one GIST sample.
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These mutations are associated with an increased drug requirement to elicit a clinical response [14], [>>15<<]. A PDGFRA mutation (D842V) predictive of resistance to imatinib [15] was also identified in one GIST sample.
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A PDGFRA mutation (D842V) predictive of resistance to imatinib [>>15<<] was also identified in one GIST sample.
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This mutation may predict resistance to PI3 kinase inhibition (and conceivably receptor tyrosine kinase inhibition) in some contexts [>>16<<].
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While coincident mutations in these genes have previously been reported in cancers of the large intestine [>>17<<], PIK3CA and KRAS mutations have typically exhibited a mutually exclusive pattern of occurrence in endometrial cancer [18], [19].
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While coincident mutations in these genes have previously been reported in cancers of the large intestine [17], PIK3CA and KRAS mutations have typically exhibited a mutually exclusive pattern of occurrence in endometrial cancer [>>18<<], [19]. An endometrial adenocarcinoma with co-occurring FGFR2 and PTEN mutations was also identified.
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While coincident mutations in these genes have previously been reported in cancers of the large intestine [17], PIK3CA and KRAS mutations have typically exhibited a mutually exclusive pattern of occurrence in endometrial cancer [18], [>>19<<]. An endometrial adenocarcinoma with co-occurring FGFR2 and PTEN mutations was also identified.
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Two pediatric LGAs harbored mutations in MYC, a well established oncogene homologue of NMYC, which is amplified and indicative of poor prognosis in pediatric neuroblastoma [>>20<<], [21]. Thus, tumor mutation profiling may refine patient stratification and/or disease prognosis in some pediatric brain cancers.
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Two pediatric LGAs harbored mutations in MYC, a well established oncogene homologue of NMYC, which is amplified and indicative of poor prognosis in pediatric neuroblastoma [20], [>>21<<]. Thus, tumor mutation profiling may refine patient stratification and/or disease prognosis in some pediatric brain cancers.
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Duplication of the BRAF locus has been reported as the most frequent aberration in pediatric LGAs (66% [>>18<<]), whereas activating point mutations in BRAF occur less commonly (4–6%) [22], [23].
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Duplication of the BRAF locus has been reported as the most frequent aberration in pediatric LGAs (66% [18]), whereas activating point mutations in BRAF occur less commonly (4–6%) [>>22<<], [23]. We identified activating BRAFV600E mutations in 11% (10/88) of pediatric LGAs—a higher percentage than previously reported [22], [23].
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Duplication of the BRAF locus has been reported as the most frequent aberration in pediatric LGAs (66% [18]), whereas activating point mutations in BRAF occur less commonly (4–6%) [22], [>>23<<]. We identified activating BRAFV600E mutations in 11% (10/88) of pediatric LGAs—a higher percentage than previously reported [22], [23].
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We identified activating BRAFV600E mutations in 11% (10/88) of pediatric LGAs—a higher percentage than previously reported [>>22<<], [23]. Interestingly, the BRAFV600E mutation was most prevalent within the ganglioglioma subtype of pediatric LGAs (classical and non-classical; 8/14 tumors, p = 0.00005), as shown in Fig. 2 . BRAFV600E mutations were not identified in
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We identified activating BRAFV600E mutations in 11% (10/88) of pediatric LGAs—a higher percentage than previously reported [22], [>>23<<]. Interestingly, the BRAFV600E mutation was most prevalent within the ganglioglioma subtype of pediatric LGAs (classical and non-classical; 8/14 tumors, p = 0.00005), as shown in Fig. 2 . BRAFV600E mutations were not identified in any of
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Selection of cancer gene mutations for assay design and mass spectrometric genotyping were performed as previously described[>>6<<] with modifications indicated in Methods S1. Assay, primer and probe sequences are indicated in Table S1.
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Knowledge of the genetic abnormalities present in pediatric LGAs is limited, though recent studies have identified BRAF translocations, chromosomal duplications, and occasional base mutations in low-grade astrocytomas[>>18<<], [25], as well as diverse mechanisms for activating the ERK/MAPK pathway in pilocytic astrocytomas [23].
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Knowledge of the genetic abnormalities present in pediatric LGAs is limited, though recent studies have identified BRAF translocations, chromosomal duplications, and occasional base mutations in low-grade astrocytomas[18], [>>25<<], as well as diverse mechanisms for activating the ERK/MAPK pathway in pilocytic astrocytomas [23].
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studies have identified BRAF translocations, chromosomal duplications, and occasional base mutations in low-grade astrocytomas[18], [25], as well as diverse mechanisms for activating the ERK/MAPK pathway in pilocytic astrocytomas [>>23<<]. These findings suggest that the small molecule inhibitors of BRAF already in adult trials may also represent promising therapeutics for subsets of these tumors.
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In concordance with previous reports [>>22<<], [26], [27] we observe that mutations in genes frequently observed in adult anaplastic astrocytomas and/or glioblastomas, such as TP53 or PTEN, are only rarely encountered in pediatric pilocytic and low-grade diffuse astrocytomas.
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In concordance with previous reports [22], [>>26<<], [27] we observe that mutations in genes frequently observed in adult anaplastic astrocytomas and/or glioblastomas, such as TP53 or PTEN, are only rarely encountered in pediatric pilocytic and low-grade diffuse astrocytomas.
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In concordance with previous reports [22], [26], [>>27<<] we observe that mutations in genes frequently observed in adult anaplastic astrocytomas and/or glioblastomas, such as TP53 or PTEN, are only rarely encountered in pediatric pilocytic and low-grade diffuse astrocytomas.
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