Development of proteomics for clinical
biomarkers for early detection and treatment of cancer is now focused
on two approaches:
- Identifying signature patterns of proteins in various diseases.
- Validating the association of signature proteins with cancer.
Biomarkers can be used as early screening and diagnostic tool,
monitoring clinical efficacy of therapy, and predicting patient’s
response to new treatment.
Potential advancements in Proteomics
Proteome is highly complex and variable since cells are continually
modifying proteins as they are produced. Proteins are present in
body in a range of concentrations for example Albumin (protein in
blood used for transporting fatty acids, hormones) is present in
billion times more than Interleukin-6 ( protein which stimulates
immune system). Also it is not possible to amplify proteins like
DNA amplification.
Analytical techniques like mass spectroscopy and protein microarrays
must be improved and calibrated to get accurate and reproducible
results of the complex proteome.
Research laboratories must standardize procedures for collection
and storage of samples, processing clinical samples, conducting
experiments and data analysis.
Proteomics offers great promise for early detection, screening
and classification of different types of cancers. Deciphering the
molecular signatures of cancer could form the basis of right combination
of therapies customized for each patient.
Proteomic technology is being explored for potential use in cancer
diagnosis and treatment. Early detection is critical for successful
treatment of cancer. The sooner is the detection of disease, better
are the chances of patient living a longer healthy life.
Glossary
of proteomics terms.
Telomerase is an enzyme not found in normal cells, only cancerous
ones. Inhibitors
could be selective ways to attack cancer cells. Somewhat related
is the orphan
drugs program set up to help find drugs for rare diseases.
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