Mutant cancer subpopulations have the potential to derail durable patient responses to molecularly targeted cancer therapeutics, yet the prevalence and size of such subpopulations are largely unexplored. We employed the sensitive and quantitative Allele-specific Competitive Blocker PCR approach to characterize mutant cancer subpopulations in ductal carcinomas (DCs), examining five specific hotspot point mutations (PIK3CA H1047R, KRAS G12D, KRAS G12V, HRAS G12D, and BRAF V600E). As an approach to aid interpretation of the DC results, the mutations were also quantified in normal breast tissue. Overall, the mutations were prevalent in normal breast and DCs, with 9/9 DCs having measureable levels of at least three of the five mutations. HRAS G12D was significantly increased in DCs as compared to normal breast. The most frequent point mutation reported in DC by DNA sequencing, PIK3CA H1047R, was detected in all normal breast tissue and DC samples and was present at remarkably high levels (mutant fractions of 1.1 × 10− 3 to 4.6 × 10− 2) in 4/10 normal breast samples. In normal breast tissue samples, PIK3CA mutation levels were positively correlated with age. However, the PIK3CA H1047R mutant fraction distributions for normal breast tissues and DCs were similar. The results suggest PIK3CA H1047R mutant cells have a selective advantage in breast, contribute to breast cancer susceptibility, and drive tumor progression during breast carcinogenesis, even when present as only a subpopulation of tumor cells.
The molecular pathogenesis of papillary thyroid carcinoma (PTC) is largely attributed to chromosomal rearrangements and point mutations in genes within the MAPK pathway (i.e., BRAF and RAS). Despite KRAS being the 6th most frequently mutated gene for all cancers, the reported frequency in thyroid cancer is only 2%. This may be due, in part, to the use of insensitive mutation detection methods such as DNA sequencing. Therefore, using the sensitive and quantitative ACB-PCR approach, we quantified KRAS codon 12 GGT → GAT and GGT → GTT mutant fraction (MF) in 20 normal thyroid tissues, 17 primary PTC, 2 metastatic PTC, and 1 anaplastic thyroid carcinoma. We observed measurable levels of KRAS codon 12 GAT or GTT mutation in all normal thyroid tissues. For PTCs, 29.4% and 35.3% had KRAS codon 12 GAT and GTT MF above the 95% upper confidence interval for the corresponding MFs in normal thyroid. The highest observed KRAS codon 12 GTT MFs were associated with tumors with follicular characteristics and relatively high levels of tumor necrosis. The results indicate KRAS mutant subpopulations are present in a large number of thyroid tumors, a fact previously unrecognized. The presence of KRAS mutation may indicate a tumor with an aggressive phenotype, thus directing the course of clinical treatment.
Ethylene oxide (EO) is a genotoxicant and a mouse lung carcinogen, but whether EO is carcinogenic through a mutagenic mode of action remains unclear. To investigate this question, 8-week-old male Big Blue B6C3F₁ mice (10 mice/group) were exposed to EO by inhalation-6 h/day, 5 days/week for 4 weeks (0, 10, 50, 100, or 200 ppm EO) and 8 or 12 weeks (0, 100, or 200 ppm EO). Lung DNA samples were analyzed for levels of 3 K-ras codon 12 mutations (GGT→GAT, GGT→GTT, and GGT→TGT) using ACB-PCR. No measureable level of K-ras codon 12 TGT mutation was detected (ie, all lung mutant fractions [MFs] ≤ 10⁻⁵). Four weeks of inhalation of 100 ppm EO caused a significant increase in K-ras codon 12 GGT→GTT MF relative to controls, whereas 50, 100, and 200 ppm EO caused significant increases in K-ras codon 12 GGT→GAT MF. In addition, significant inverse correlations were observed between K-ras codon 12 GGT→GTT MF and cII mutant frequency in the lungs of the same mice exposed to 50, 100, or 200 ppm EO for 4 weeks. Surprisingly, 8 weeks of exposure to 100 and 200 ppm EO caused significant decreases in K-ras MFs relative to controls. Thus, the changes in K-ras MF as a function of cumulative EO dose were nonmonotonic and were consistent with EO causing early amplification of preexisting K-ras mutations, rather than induction of K-ras mutation through genotoxicity at codon 12. The possibility that these changes reflect K-ras mutant cell selection under varying degrees of oxidative stress is discussed.
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