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
PML gene
marker for PML bodies
What does PML stand for?
Pro- myelotic leukaemia
How do you distinguish between types of myeloma ?
Can distinguish types of myeloma by gene expression profiling
Differentiation can be exploited to kill cancer cells
- Repurpose or kill cancer cells e.g myelomas/leukaemia’s
As tumour cell populations evolve to greater degrees of malignancy
they usually lose increasing numbers of differentiation markers
Differentiation can be exploited to kill cancer cells - Example
Acute Pro- myelotic Leukaemia
- Normally Promyelocytes got to neutrphils by Transcriptional repressor switched off by RA
In APL- repression removed
Chromosomal instability -Example
RA receptor gene is translocated at a fusion break point and generate fusion between RA receptor and PML gene
Solutions/ Treatments of PML
Use a derivative of RA -All trans retinoic acid does the same thing
Or arsenic trioxide (traditional remedy specific and effective for this disease
How does Arsenic trioxide work ?/
Recruits a specific ubiquitin ligase
(RNF4) to destroy RAR
When added -
GFP labelled PMLs –fusion gene product disappear normal wt remains
Wt PML and PMLRARA
- not cytotoxic because it isnt affecting the wT gene
Exploiting Vulnerability arising from checkpoint abandonment -
Experiment
- inflict DNA Damage/ Replication stress
- Labelled with chlorodeoxiuridine and
Flurodeoxuridine
Normal check point response after inflicting DNA Damage-
Cell Cycle Delay
Induced DNA damage Response
- Normal mitosis
- part of check point response is to block places going to do DNA replication in the future
Inhibition of a check point stop initiation now and in future
Cancer cell response after inflicting DNA damage
- Poor check point response
No cell cycle Delay
No induce DNA damage response - Mitotic Catastrophe
Cancer Cell -
All replication forks don’t start at the same time, they fire at different times
Fires replication origins anyway and attempts mitosis
Attempting – going through s phase and G2 with no replicated DNA – will attempt mitosis and have mitotic catastrophe
By knowing what checkpoints are damaged in the cancer cell
we can identify what DNA damage needs to be inflicted
Example of exploiting vulnerability arising from check point abandonment
Hepatoma cells (lack G2 checkpoint) -Treated with doxorubicin (DNA damaging drug normally induces G2 arrest and normal cell repair) ( stained with DAPI only) Don’t have a G2 check point - they will incur DNA Damage and carry on doing mitosis ( no cell cycle arrest) Selective - fragmented nuclei which isnt viable