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In other cases, knowing that a patient will not respond to a therapy can save precious time and protect quality of life, such as for certain cystic fibrosis and cancer medications.
The need for treatment advice may arise when a patient fails to respond to a therapy or develops side effects, or it may simply stem from a desire to explore all possible and available therapeutic options in order to optimise a patient's treatment.
However, due to the heterogeneity of tumors, not all the tumors respond to a therapy regimen with a similar efficiency.
In addition, failure to respond to a therapy can limit patient adherence.
Contrary to the prognostic markers, predictive markers shall support in decision making of certain therapies as they appreciate the potential to respond to a therapy [ 52– 52].
Treating patients who are unlikely to respond to a therapy is both costly and exposes them unnecessarily to potential adverse effects.
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"The same data that is useful to help understand how someone is responding to a therapy or a drug is also data that can be very exposing about them.
The concept for this strategy was that a novel peptide probe and its counterpart protein, which responded to a therapy, were identified, and then the inherent ability of the peptide to target the designated tumor protein was used for active targeting in vivo.
Not only do potential therapeutic drugs need investigating, but with personalized medicine, biomarkers are vital to identify the patients who will respond to a certain therapy.
In a small clinical trial published recently in the Journal of Clinical Oncology, patients with lung tumors were genetically screened to identify those likely to respond to a targeted therapy.
It was designed as a pilot study to test the efficacy and safety of a combination treatment with pegIFNα2b, ribavirin, SAMe and betaine in patients with CHC who did not respond to a previous therapy with (peg IFNα and ribavirin.
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