Concepts from workshop and Q&A Flashcards
Future directions of cancer treatment
Protection against cancer
Earlier detection
Safer treatments
Turning cancer into a long term/ chronic but manageable disease
Biomarkers in cancer, their use and specific example
Can be detected in blood, urine and sometimes breath.
Prostate cancer biomarker PSA
P16 often lost in cancer this could be a marker
Microarrays overview
- measurement of gene expression by mRNA abundance
- A way of globally looking at gene expression
- link between genomics and proteomics
Uses of microarrays in cancer
- Determination of expression levels of genes
- Identification of sequence (gene mutation)
- Distinguish between normal and malignant tissue
- Define histopathology and prognosis
- In future may be able to predict response to chemotherapy
Microarrays could lead to what treatment
Personalised, tailor made therapies
What is a brief overview of microarrays method?
Determining the level at which a certain gene is expressed
- use of immobilised DNA-cDNA
- use of a hybridising probe, flood it with cDNA derived from mRNA from normal and malignant tissue. These will show up as different colours.
- if disease causes overexpression of the gene more sample cDNA will bind and flourescent red
Summary of microarrays
Microarrays could be there to give us a good profile as to which genes have been up and down regulated, full profile of tumour
Disadvantage of microarrays
- mRNA level doesn’t always correlate with protein function
- mRNA varies in stability and rate of translation
- Proteins are modified after translation
- can do protein microarrays