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Accurately linking cancer molecular profiling with survival can lead to improvements in the clinical management of cancer.
Currently, molecular profiling with large-scale genetic, proteomic and metabolic screening technologies is emerging as a powerful tool to improve and guide model selection.
In addition, hundreds of analytes can be detected and identified from one single mass spectrometry experiment, resulting in high-content molecular profiling with spatial information in tissue sections.
If these women were correctly identified by molecular profiling with 100% accuracy, and effectively removed from the treatment arm, the survival benefit would be much greater; three lives for 16.5 treated (one life/5.5 treated) (see Figure 1).
Evaluation of standard biomarkers (ER, PR, and HER2) in primary BC can be supplemented by molecular profiling with significant information on disease subtyping, which constitutes prognostic and predictive data that can help in treatment planning.
However, a few select inflammatory and immune relevant genes have been initially explored [ 13, 14], and more recently the molecular profiling with a cDNA microarray of the host response to the chronic exposure to E. leei has highlighted a complex interplay of proteases, protease inhibitors, apoptotic factors as well as cell proliferation and antioxidant defence genes [ 15].
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Hintzsche J, Kim J, Yadav V, Amato C, Robinson SE, Seelenfreund E, et al. IMPACT: a whole-exome sequencing analysis pipeline for integrating molecular profiles with actionable therapeutics in clinical samples.
To present a computational method aimed to comprehensively exploit the scientific knowledge in order to foster the development of personalized cancer treatment by matching the patient's molecular profile with the available evidence on targeted therapy.
Finally, this archive - along with the algorithm we have proposed - can be utilized to match the patient's molecular profile with the available literature and thus to hypothesize patient-specific drug sensitivity toxicity or synergism based on the scientific evidence supporting each type of relationship for each of the molecules investigated.
Our results thereby integrate molecular profiles with clinical observations and provide a better understanding of the underlying molecular mechanisms.
A recent review presents the integration of molecular profiles with networks in order to find "network modules" [ 14].
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