Lecture 2 Flashcards

Risk factors and cancer incidence (54 cards)

1
Q

What are the causes of cancer comprised of?

A

Genetic susceptibility and environmental exposure

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2
Q

What is meant by causation is never all or nothing?

A

Few cancer arise from a single cause and some exposures can cause more than 1 type of cancer

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3
Q

What is the definiton of a risk factor?

A

Exposure that increases risk of disease

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4
Q

What is cofounding?

A

If there is another thing existing with the exposure causing the outcome - may influence outcome of the disease

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5
Q

What are some risk factors for cancer?

A
  • Demographic (age, sex, race/ethnicity, socioeconomic status)
  • Lifestyle (smoking, alcohol, diet, physical activity, BMI)
  • Infectious agents
  • Environmental and occupational exposures
  • Genetics/family history
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6
Q

Why is socioeconomic status an abstract concept in these terms?

A

commonly use proxy variables such as occupation, education, income, and place of residence
Also, SES not per se a cause of disease, rather an indicator of exposure to some underlying cause, which is often unknown.

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7
Q

What are the different groups of carcinogenic hazards to humans from IARC and how many are there?

A

Group 1 = Carcinogenic to humans = 121 agents
Group 2A = Probably carcinogenic to humans = 89 agents
Group 2B = Possibly carcinogenic to humans = 315 agents

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8
Q

What does the way we collect cancer data depend on?

A

Study type
Detail of data required
Availability of existing records
Lack of / poor recall of exposure
Sensitivity of topic
Variability of exposure over time
Availability of measurement tools
Cost of methods

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9
Q

When measuring exposures, what information is needed (how can we measure how much exposure someone has had)?

A

Nature
Detailed & specific
e.g. different forms of tobacco use, not just ‘smoking’

Dose
Quantitative e.g. number of cigarettes smoked daily
Cumulative, or exposure rate (dose per unit of time)

Time
When exposure began, when it ended
How distributed over time (periodic or continuous)

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10
Q

What are the examples of sources of exposure data?

A

Questionnaires
Self-administered – small amounts of simple or sensitive data
Interviewer-administer – can improve participation and completeness

Diaries
Detailed records of current exposure

Records
Census, medical, cancer registry, birth & death certification

Biological measurements
Objective, independent, ‘molecular epidemiology’

Environmental measurements
Agents in air, water, soil, foods. Subjects often unaware of exposure

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11
Q

How do we measure outcomes of people with cancer (how do we get the info)?

A

Patient-reported
Questionnaire, interview

Clinical
Biological measurements
Diagnostic procedure (endoscopy, ultrasound, imaging)

Records / routine data
Medical records
Cancer registrations Commonly used in
Specialised surveillance cancer epidemiology
Death certificates

Intermediate end-points

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12
Q

What is routine data?

A

derived from established data collection systems, so not collected with the aim of answering any specific question

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13
Q

Why can routine data be used in cancer epi studies?

A

provide information on both exposure and outcome of interest

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14
Q

What are the 2 types of routine data used?

A

Death certificate and cancer registration

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15
Q

Why use death certificates in cancer epi studies?

A

records date and place of death, cause of death, sex, age, date of birth, & place of residence
The underlying cause of death is then coded according to the International Classification of Diseases
Cancer mortality data usually based on these information – will come back to this when we talk about cancer mortality this afternoon

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16
Q

What are the two types of cancer registration?

A

Hosptial based and population based

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17
Q

What is hospital based cancer registration and what is it’s purpose?

A

All cancer cases seen in 1 hospital
contribute to patient care and admin management

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18
Q

What can’t hosptial based routine data do?

A

Cannot provide measures of cancer occurrence in general population because it is not possible to define the population from which the cases arise

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19
Q

What is popuation based routine data?

A

All new (incident) cancer cases that occur in a well defined population
Provide measures of occurrence in catchment population
Exist in many countries - comparable data on cancer incidence

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20
Q

The international classification of disease, how is cancer classified?

A

Topographic - size of tumour (ordered by organ system)
Behaviour - malignant, benign, in situ, uncertain behaviour

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21
Q

What do we need to know to measure cancer occurence?

A
  1. A case (the numerator)
  2. The population (the denominator)
  3. Time period
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22
Q

What’s the equation for prevalence?

A

No. of cases in defined pop at one point in time / No. of people in defined pop at one point in time

23
Q

What does prevalence depend on?

A
  • Number of new cases (incidence)
  • Survival and mortality
  • Recurrence
  • Recovery/cure
24
Q

Definition of incidence

A

Number of new cases in a defined population at risk during a specified time period

25
How do we measure the incidence of cancer?
1. Risk 2. Odds of disease 3. Incidence Rate
26
How to calculate incidence risk?
No. of new cases in population over time / population initially at risk
27
How to calculate odds of disease?
No. of new cases in population over time / No. of people who remain disease-free
28
How to calculate incidence rate?
No. of new cases in population over time / total person-time at risk
29
When is routine data to measure cancer incidence rates appropriate?
Population is stable throughout period of disease is rare
30
How do we use routine data to measure cancer incidence rates?
Rate estimated without direct measure of person-time at risk
31
How to work out person-time at risk?
Population at mid-point of calendar period of interest x length of period
32
What is the measures of exposure effect?
how much more likely the exposed group is to develop cancer than the unexposed group (collectively called measures of relative risk)
33
How to work out risk ratio of measures of effect?
Risk in exposed / risk in unexposed
34
How to work out odds ratio of measures of effect?
odds in exposed / odds in unexposed
35
How to work out rate ratio of measures of effect?
incidence rate in exposed / incidence rate in unexposed
36
What do the results of RR mean?
1.0 = no assocation greater than 1.0 = positive association (increased risk amoung exposed) less than 1.0 = negative association (decreased risk among those exposed)
37
What is an absolute measure of effect?
to indicate how many extra cases the exposure is responsible for (assumes causality)
38
How do we work out the absolute measures of exposure effect?
Risk difference (excess risk) = risk in exposed - risk in unexposed
39
Why is the excess risk useful?
evaluating the impact of introducing or removing a risk factors
40
What does measures of population impact mean?
assess how much disease incidence can be attributable to the exposure
41
How can we calculate the measure of population impact? (population attributable risk)
Population attributable risk = excess risk x proportion of population exposed to risk factor (percentage)
42
Why is Measures of population impact important?
measure of how much disease is attributable to a risk factor e.g. 84% of lung cancer incidence is attributable to smoking indicator of how many cancer cases could be prevented if risk factor removed e.g. 84% of lung cancer cases could be prevented if nobody smoked
43
What is etiology?
looking at how much of cancer incidence is due to environmental factors or genetics
44
What are hereditary cancer syndromes examples?
Breast and ovarian cancer syndrome (mutations in BRCA 1 & BRCA2) accounts for ~5% breast & ~5% ovarian cancers Li-Fraumeni syndrome (mutations in TP53) high risk of breast & bone cancer, leukaemia, & sarcoma Familial adenomatous polyposis (FAP) (mutations in APC) accounts for ~1% of bowel cancers Lynch syndrome / Hereditary non-polyposis colon cancer (HNPCC) (mutations in MLH1, MSH2, MSH6, and PMS2) accounts for ~3% of bowel cancers
45
What do we study in etiology to make a judgement?
Hereditary and non-hereditary forms Age at onset Risk in families Time trends International trends / migration
46
What is the an example of Hereditary and non-hereditary forms in etiology of cancer?
- In 1994 the BRCA1 gene was identified, that when mutated appeared to be responsible for most hereditary breast cancers - About 5% of all breast cancer cases are hereditary, with around half of those resulting from mutations in BRCA1 or BRCA2 - these mutations are rarely seen in nonhereditary form of breast cancer, suggesting the genetic pathways or mechanisms operating in the inherited and non-inherited cases are different - also been estimated that the lifetime risk of breast cancer in women with BRCA1 or BRCA2 mutations ranges from 50-85%, compared to 12% in the general population
47
Example of age at onset in etiology in cancer?
Retinblastoma in childern 40% = bilateral, familal (occures soon after birth) 60% = unilateral, nonfamillal (occurs throughout early childhood) when a disease occurs in both genetic and nongenetic forms, the genetic form develops at much earlier ages that the nongenetic form This is because the non genetic form requires the accumulation of environmental exposures that only build up over time Consequently it takes longer for these diseases to develop
48
Example of risk in families (family studies) in etiology of cancer?
Concordance in 1st degree relatives suggets genetic component and concordance in spouses suggests environmental exposure as they aren't genetically linked
49
What is concordance?
probability that a pair of individuals will both have disease, given that one of the pair has the disease
50
What are examples of risk in families (twin studies)
Two types = monozygotic share 100% genetic and dizygotic share 50% genetic If we look at then occurrence of disease in identical twins, there are 4 possibilities: Both twins have disease, or both do not have disease – these are the concordant pairs It is also possible that one twin has the disease and the other does not – these are the discordant pairs If identical twins are concordant, what does this tell us? Could the disease be genetic? YES – twins have identical genetics Could the disease by environmental? YES – similar exposures If identical twins are discordant – this suggest the disease is mainly environmental in origin
51
How to calculate concordance in twin studies?
A pairs – both twins have disease D pairs – neither twin has disease B & C pairs – one has disease, one does not Now, most twins will be in category D (neither diseased), so we can ignore those, and look at the other 3 cells of the table We simply calculate the concordance rate as a / a+b+c
52
Example of time trends in etiology?
Increasing or decreasing trends in incidence over (short) period of time could mean environmental factors implicated Genetic characteristics do not change quickly
53
Example of international trends in etiology (think about comparing them)?
Gastric cancer incidence and mortality Migrant studies If a person moves from Japan to US, what happens to their cancer risk? Risk remains high over time = primarily genetic Risk lowers over time = primarily environmental
54
Advances in molecular and genetic epidemiology?
increasing availability of data on molecular subtypes of cancer (some even recorded in cancer registry data) The Human Genome Project. the creation of genome-wide databases of common genetic variations in humans has provided the foundation to more comprehensively examine genetic variations in relation to cancer risk