Lecture 17- Rational Treatment of Cancer 1 Flashcards
Rational cancer strategies
- Induce differentiation
- Discourage proliferative signaling
- Promote pro-apoptotic signaling
- Discourage anti–apoptotic signaling
- Exploit checkpoint vulnerability
- Identify the RELEVANT population for specific strategy- removal of those non -relevant helps the statistics and is just logical
What is the issue with increased specificity of cancer treatments ?
number gets smaller more specific issue for funding
Number of patient recruited for study for specific mutation may be limited
What is the most popular cancer treatment at the moment and how does it work ??
– chemotherapy and surgery historically
Cancer cell s- check point deficiency allows chemotherapy to treat cancer specifically
Clinical intervention –
Number of cases
Falling for stomach, uterus, colonal rectum due to combo of ensuring food quality understood/stored and cervical and colorectal screening
Breast cancer – increase in detection so increase in number but mortality reasonably the same
Improvement in detection technology means ?
Significant improvement in detection technology means increased detection
Breast/prostate cancer
• Indolent tumours:
low invasive, metastatic potential
• Aggressive tumours
high metastatic potential
• Tumours of intermediate grade:
treatable , resectable
Criteria to asses treatment of BC – metastatic or indolent
- Patient age
- Tumour size
- Number of axilliary lymph nodes
- Histology
- Pathological grade
- Receptor status- Growth receptors eg oestrgogen receptors can be treated with antagonist
What ratio of people go on to show life threatening disease ?
1 in 5
80 % of people with BC and PC probably don’t be needed to be treated but we don’t know who they are
Stratify cancers:
classify into subgroups of properties and prognosis
How do you stratify cancers ?
Gene expression arrays – microrarray looking at mRNA
Looking at upregulation and down regulation
Shows patterns
Can set a threshold
Plot those above and below- look at survival rate
Myeloma- Blood Cancer
Phenotype the same for benign and aggressive
Microarray analysis for myeloma -
– looking at low expression and high expression
Number of different way different changes in gene expression in different kinds of myeloma
Different myelomas different prognosis
- Targeted specific therapy –e.g target signalling pathway with drugs
Common microscopic appearance of myelomas - can be 3 subgroups
- Primary mediatsinal B-Cell lymphomas
- Germinal Centre B -Cell - Like Lymphomas
- Activated B- Cell - Like Lymphomas