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Tuy, H. D. et al. ABCG2 expression in colorectal adenocarcinomas may predict resistance to irinotecan.
This mutation may predict resistance to PI3 kinase inhibition (and conceivably receptor tyrosine kinase inhibition) in some contexts [16].
These alterations may predict resistance to endocrine therapy.
A better understanding of molecular mechanisms that may predict resistance or response to cetuximab is therefore urgently needed.
Therefore, a higher predose level of SDF1 α may predict resistance to lenvatinib treatment in patients with NSCLC.
These rare alterations were the most prevalent in Luminal A tumors and may predict resistance to endocrine therapy.
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Preclinical work has demonstrated that overexpression of HER3 may also predict resistance to EGFR-targeted therapies.
In one study, p53 mutations were a strong prognostic factor for survival in patients with node-positive breast cancer who were administered adjuvant cyclophosphamide, methotrexate, and fluorouracil, which may therefore predict resistance to such therapy [ 63].
Moreover, recent works suggest that assessing classical markers of EMT may help clinicians predict resistance to chemotherapy, and thus poor prognosis [56].
The multi-facetted nature of drug resistance implies that the analysis of entire expression profiles may predict drug resistance with higher accuracy and may be superior to single gene expression studies.
The multi-factorial nature of drug resistance implies that the analysis of comprising expression profiles may predict drug resistance with higher accuracy than single gene or protein expression studies.
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may predict cancer
may predict mortality
may facilitate resistance
may heighten resistance
may be resistance
may predict outcome
may mediate resistance
may regulate resistance
may alleviate resistance
may exacerbate resistance
may show resistance
may promote resistance
may evolve resistance
may meet resistance
may predict disease
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