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Sentence examples for mutations to define from inspiring English sources

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Exact(6)

The majority of these have included PTEN loss or PIK3CA mutations to define activated PI3K pathway.

As mentioned earlier, the value of KRAS mutations to define who should benefit from adjuvant chemotherapy and who should not is especially important for stage II CRC.

Taking RAS mutations to define patient subgroups and define transcription-based biomarkers for these specific patient subgroups resulted in an increase in prognostic power.

Consistent with the previously mentioned study that evaluated the combined effect of PTEN low and PIK3CA mutations to define PI3K pathway activation [ 29], PI3K pathway activation was also significantly associated with shorter OS [ 27].

Stage-dependent survival analysis was performed, in particular for stage II, as the value of KRAS mutations to define who should receive adjuvant chemotherapy and who should not is especially important for these patients.

Given that recombination algorithms use cis mutations to define regions of a sequence that share the same phylogenetic history, the statistical power to detect recombination is reduced when using unphased data (Darren Martin pers. comm).

Similar(53)

We stratified grade II and grade III gliomas according to the codeletion of 1p19q and IDH mutation to define three distinct prognostic subgroups: 1p19q and IDH mutated, IDH mutated which contains mostly TP53 mutated tumors, and none of these alterations.

We screened 64 polymorphic markers across the genome (autosomes only, X and Y chromosomes were selected by breeding), that included markers for all known regions linked to diabetes susceptibility Idd loci in the NOD mice, plus an additional 4 markers on Chr. 7 flanking the IL-21R mutation to define the size of the congenic interval.

Partial overlap was observed between the PTPN11 mutation-associated transcriptome and in a mutually exclusive manner, those associated with SOS1 and SHOC2 gene mutations, allowing to define two PTPN11 subgroups, whose biological significance remains to be elucidated.

Walker et al. [ 10], have utilized the IARC TP53 mutation database to define 73 "hotspots" for mutation in TP53 related to changes in protein structure and function.

They advance application of CRC mutation profiles to define patient sub-groups and should influence patient selection or stratification for prospective trials.

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