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Ultimately, the results of cancer genome-wide allelotyping by SNP array analysis may predict responses to specific therapies, allowing more efficient modification of regimens for individual patients.
Before the study, subjects filled out a number of questionnaires providing information on various demographics, sleep wake and circadian-related variables, and psychosocial/personality traits which may predict responses to chronic PSD.
Importantly, preliminary data suggest that SPARC may play a pivotal role as a biomarker for nab-paclitaxel-based chemotherapeutic regimens and may predict responses to treatment.
Our findings suggest that prior beliefs and thus, expectations, may predict responses to the sources of uncertainties associated with sequencing information: probability, ambiguity and complexity.
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These clinical studies suggest that intermediate monocyte frequency may predict response to therapy and side effect profile in RA patients using immunosuppressive therapy.
Serum Hepatitis B surface Antigen (HBsAg) levels correlate with hepatitis B virus intrahepatic covalently closed circular DNA and may predict response to treatment.
Several tumors harbored mutations that may predict response to investigational agents.
Thus global pTyr patterns, assayed by SH2 profiling, predict MET activation and may predict response to MET TKI in these cell lines.
A major clinical need is to identify biomarkers that provide prognostic information regarding BPH progression or that may predict response to treatments, including 5 alpha reductase inhibitors.
Another potentially important use of CTCs for biomarker analysis is detection of oncogenic mutations that may predict response to targeted agents [1].
Examples include PDGFRA (n = 1) and PIK3CA (n = 2), which may predict response to existing drugs (e.g., imatinib or nilotinib) or agents in development (e.g., PI3 kinase inhibitors).
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