Sentence examples for genetic subsets of from inspiring English sources

The present delineation of genetic subsets of unfavorable neuroblastoma might have therapeutic implications.

The efficacy and safety of novel regimens in the relapsed-refractory setting including the "unfavorable" genetic subsets of CLL is illustrated below and summarized in Table 2.

In patients with certain genetic subsets of melanoma, recently introduced therapies such as BRAF inhibitors improve survival, even in advanced disease (Chapman et al, 2011; Hauschild et al, 2012; Flaherty et al, 2012b).

In view of the multiple analyses performed (see Additional file 3: Table S1 and Additional file 4: Table S2), it is not safe to conclude that the association of our qPCR profiles with clinical benefit from bevacizumab may be reflecting important functional roles of these genes or establish them as surrogate markers of genetic subsets of tumors responsive to anti-angiogenesis.

Importantly, studies of the molecular epidemiology of SA strongly suggest that a genetic subset of strains is particularly well adapted for causing infection in cattle [4] [9].

This interdependence suggests that the inhibition of MAPK signalling may constitute a potential opportunity for therapeutic intervention in this genetic subset of NSCLC.

Mahoney et al. [29] reported that LKB1/KRAS mutant NSCLCs constitute a genetic subset of NSCLC with increased sensitivity to MAPK CI-10400) and mTOR (rapamycin) signaling inhibition, whereas LKB1 and KRAS mutations alone do not confer similar sensitivity.

The lack of additivity may be explained by the observation that rapamycin potently inhibits p70S6K phosphorylation at thr-389, therefore precluding any additional effect of CI-1040 on the p70S6K activity, further confirming redundancy of the pathways in this genetic subset of NSCLC.

These new findings suggest a remarkable genetic plasticity in subsets of antigen-reactive lymphocytes and may frame new questions of clonal selection and self tolerance.

In an effort to choose the optimal subset of predictor genes, different methods such as neighborhood analysis [6], bayesian variable selection [7], principle component analysis [8], genetic evolution of subsets of expressed sequences (GESSES) [9] are employed.

Tools that gain genetic access to fru and dsx neurons have exploited the GAL4/UAS and LexA/lexAop binary systems, and more recently FLP recombinase has been used for genetic access to subsets of neurons [ 12 15,16,17,18,19,20,21].