Block 1 - Basic Cancer Science Flashcards
Explain why many common definitions of cancer are flawed, and highlight the main points of an improved definition
- NOT uncontrolled growth (that would be exponential, and would rapidly become trillions of cells)
- NOT ALL mutated cancer cells (only 35-65%, as the rest is stromal cells that have been coopted)
Cancer is complex, but in general:
1. Cancer cells have escaped normal limitations of external cue-driven cell division
2. They have modified their local environment to exceed natural defined tissue borders
3. Form a multicellular mass, driven by a transformed cancer cell
4. Have mechanisms to evade immune surveillance and cell death
What are the main external stimulants of cell growth?
- GFs (e.g., EGF, FGF) - molecules that bind to receptors, triggering an intracellular signal cascade that promotes cell growth and division
- ECM Components (e.g., collagen and laminin) - regulate cell growth and division by providing chemical and mechanical signals
- Hormones (e.g. estrogen and testosterone) - stimulate cell growth and division
What are the main limiters/regulators of cell growth?
Limiters: CHEMICAL MICROENVIRONMENT (oxygen level, pH, temperature, nutrient availability)
Regulators: CYTOKINES (small proteins released by immune cells - ILs and IFs can sometimes promote or suppress cell growth and division)
Note: IL1ß promotes angiogenesis, but reduces cancer cell proliferation
State the main processes by which cancer cells escape normal tissue boundaries
ECM Degradation - MMPs
ECM Remodelling - production and secretion of ECM proteins
ECM Crosslinking - makes ECM stronger and stiffer
ECM Receptors - cancer cells can express receptors, e.g., integrins, that bind to specific ECM
Angiogenesis - promote formation of new blood vessels
Describe what is meant by the three “E” words relating to immune surveillance
Elimination: When immune killer cells outnumber the damaged/infected/cancerous cells and eliminate them rapidly
Equilibrium: When cancer maintains its size or grows slowly
Escape: When cancer cells grow faster than they can be eliminated, so the cancer grows (sometimes after years of dormancy)
State the main types of cell death, and how this relates to cancer
APOPTOSIS, NECROSIS, AUTOPHAGY
Also Anoikis, Pyroptosis, Necroptosis, Parthonates, Ferroptosis
Cancer cells must develop mechanisms of resistance against ALL of these in order to grow and spread
E.g., mutations in genes that regulate apoptosis (e.g., p53), upregulation of anti-apoptotics (e.g., BCl2, MCl1), downregulation of proapoptotics (e.g., BAK, BAX), activation of survival signalling pathways (e.g., PI3K-Akt-mTOR, or RAS/RAF/MEK/ERK), altering balance between DRs and Ligands (e.g., FAS, TNFR1)
State the four (highlighted) types of cells that cancer can arise from, and the names of these types of cancer
Epithelial (line surfaces of internal organs and glands to form a barrier) -> CARCINOMAS, e.g., lung/colon/breast
Mesenchymal (some connective tissue) -> SARCOMAS, e.g., bone/leiomyo
Hematopoietic (cells that give rise to blood cells) -> LEUKEMIAS, e.g., CML
Lymphoid (type of WBC) -> LYMPHOMAS, e.g., Hodgkin/Non-Hodgkin
Name the 7 (mentioned) types of cancer models, and state what they are
- CELL LINES - cultured cancer cells taken from a patient
- ORGANOIDS - 3D cultures of cells derived from cell lines (slightly more heterogeneity)
- XENOGRAFTS - implant cells from cell lines into a mouse
- PATIENT-DERIVED XENOGRAFTS (PDXs) - xenografts of a patient’s tumour into a mouse
- TUMOUR-INDUCED MOUSE MODELS - genetically engineered mice to mimic human tumour
- ZEBRAFISH MODELS - genetically engineered fish to mimic human tumour
- OMICS-BASED MODELS - large-scale real world data sets
State some of the main pros and cons of Cell Lines as a Cancer Model
PROS:
- Cheap, ease of handling, supply
- Consistent characteristics, easily modified and scalable, easily modified
- Constant conditions
CONS:
- Genetic drift and mutation
- Artificial environment - not representative and may lose in vivo characteristics
- Homogeneous cultures; no gradients, 3D or TME
- Ethical concerns
State some of the main pros and cons of Organoids as a Cancer Model
PROS:
- Cheap, ease of handling, supply
- Consistent characteristics, easily modified and scalable, easily modified
- Constant conditions
- MORE HETEROGENEITY THAN CELL LINES + 3D
CONS:
- Genetic drift and mutation
- Artificial environment - not representative and may lose in vivo characteristics
- Homogeneous cultures
- Ethical concerns
- LESS REPRODUCIBLE, HARDER TO STUDY MECHANISMS
State some of the main pros and cons of Xenografts as a Cancer Model
PROS:
- Closer in vivo tumour biology (can study tumour host interactions)
- Better drug discovery and testing
- Lots of cell line variants
- Can study metastasis
CONS:
- Limited generalisability to humans
- No host immune system, TME differences
- More expensive
- Still relies on cell lines (ethics, homogeneous)
State some of the main pros and cons of PDXs as a Cancer Model
PROS:
- Closest representation of human tumour
- Patient-specific tumour-host interactions (personalised!)
- Can test multiple drugs and treatments + drug response is most predictive
CONS:
- Patient-specific, not broadly applicable
- No host immune system, TME differences, limited mechanistic insight
- Cost, technical expertise, slow
- Ethics
State some of the main pros and cons of Tumour-Induced Mice as a Cancer Model
PROS:
- Closer in vivo tumour biology (can study tumour host interactions)
- Better drug discovery and testing
- Can study metastasis
- Develops “naturally” in terms of time and TME
CONS:
- Not scalable, TME differences, limited reproducibility between animal models
- Takes months, high cost and expertise
- Ethics
State some of the main pros and cons of Zebrafish as a Cancer Model
PROS:
- Rapid, transparent development
- High-throughput + cheap
- Conservation of gene function across species
CONS:
- TME differences, limited reproducibility between animal models, limited understanding of fish tumours and immunity
- Technical expertise
- Few drugs discovered
- Ethics
State some of the main pros and cons of Omics as a Cancer Model
PROS:
- High-throughput + non-biased, ease of data generation, increased data accuracy
- Can study complex biological systems + integrate multiple layers of information
- Ethics!
CONS:
- Limited FUNCTIONAL analysis or mechanistic insight + cannot stand alone
- Needs large sample material
- Expensive
Summarise the trends in pros + cons across all the common cancer models
From cell lines -> Mouse models:
Increasing cost
Decreasing certainty of mechanism
Decreasing scalability + reproducibility
Increasing complexity + translatability + drug development
Since smaller masses are much harder to detect than large masses, how can they be detected in early stages?
We can’t simply screen for dense or oddly shaped ECM, so must use our understanding of cellular and molecular cancer biology, e.g.:
- The Warburg Effect (shunting of energy production to only glycolysis and increased uptake of glucose) -> can visualise tumours that have large amounts of glucose due to hyperactive GLUT1
(This is just one example)
State and briefly explain some of the factors that result in higher cancer incidence for males than females
- Riskier behaviours (smoking, drinking, less exercise)
- Biological/anatomical susceptibility (e.g., prostate, lung, colorectal)
- Delayed prognosis and treatment (less likely to seek medical attention)
- Occupational exposure (construction - asbestos; miners - coal dust; manufacturing - chemicals; agriculture - pesticides; firefighters - smoke; painters - solvents; drivers - diesel fumes)
- Genetic susceptibility due to X-linked genes (e.g., MAPK signalling pathway, necroptosis, metabolic pathways, carbon metabolism)
-> MULTIVARIANT CAUSES
-> EPIDEMIOLOGY studies distribution and determinants in cancer patients
What is the (mentioned) evidence that environment plays a more significant role than genetics in determining cancer prevalence?
Statistics regarding Japanese emigrants to Hawaii, and comparing them to Japanese people in Japan, and Hawaiians in Hawaii
(Incidence of most cancers is intermediate but closer to that of native Hawaiians than native Japanese)
-> Cancers are MOSTLY exposure driven
How many cancers are considered preventable, and what are the main causes associated with these?
Around 42%:
- Smoking (19%)
- Obesity (7.8%)
- Alcohol (5.6%)
- UV Radiation (4.7%)
- Physical inactivity (2.9%)
- Poor diet (1.9%)
How many people per 1000 are expected to get mouth cancer in their lifetime, and how does alcohol affect this?
No alcohol:
-> 5 per 1000
10.5 Units Per Week:
-> 6 per 1000 (extra 1)
22 Units Per Week:
-> 8 per 1000 (extra 3)
44 Units Per Week:
-> 16 per 1000 (extra 11)
Describe some of the ways in which alcohol can cause cancer:
- Breakdown of alcohol creates toxic by-products, e.g., acetaldehyde, which can damage DNA and proteins in cells, and increase risk of cancer
- Increases hormone levels, e.g., estrogen, which can stimulate breast cancer and others
- Inflammation, oxidative stress, and weakened immune system, can all promote tumours
Effects are REVERSIBLE, CONCENTRATION-DEPENDENT, and ACCUMULATED
Describe the current understanding of the correlation and causation between smoking and cancer
Clear correlation AND causation:
- Smoke contains over 5000 chemicals, many of which are harmful
- These enter lungs, and can affect entire body
- Some chemicals damage our DNA, while others impair DNA
repair
Being smoke-free can prevent 15 different types of cancer - most notably Lung cancer
This is REVERSIBLE and ACCUMULATED
Describe the current understanding of the correlation and causation between obesity and cancer
BMI is more complicated than smoking - it correlates with SOME cancers, but not all
It does not cause an increase in mutations, BUT:
- Fat cells increase INFLAMMATION and make extra HORMONES and GFs
- These cause cells in our body to DIVIDE more often
- This increases the chance of CANCER CELLS being made
- Which then continue to divide and cause a TUMOUR
Indirect causes:
- Chronic inflammation due to fat cell removal
- Insulin resistance -> More insulin and insulin-like GFs in blood
- Hormones, e.g., estrogen, testosterone, insulin
- Organ pressure -> structural changes, build-up of waste products
- Poor nutrition -> less antioxidants and more free-radicals