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Julian Pe To

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    An epidemiological perspective on

    the biology of cancer

    Julian PetoCollaborating in Cancer Research

    Cardiff 8th March 2006

    London School of Hygiene and Tropical Medicine

    and Institute of Cancer Research

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    Bradford Hill Richard Doll

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    Tobacco

    Elimination of tobacco would prevent one third of all

    cancers worldwide

    Increased risk for cancers of lung, pancreas, bladder,kidney, larynx, mouth, pharynx, oesophagus

    Recent evidence links smoking to increased risk of

    stomach, liver and cervical cancers

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    Cancer rates in migrants become similar to

    those in the local population

    0

    5

    10

    15

    prostate colon (m) stomach (m) breast (f)

    Cumulativeratebyage75(%)

    Osaka 1970-71

    Osaka 1988-92

    Hawaiian Japanese

    1988-92

    Hawaiian Caucasian

    1968-72

    Hawaiian Caucasian

    1988-92

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    Viruses, bacteria & parasites

    Infections cause about 4% of cancers in the UK but 20%of all cancers worldwide

    The most important are:

    Helicobactor pylori (a chronic gastric bacterial

    infection) causes stomach cancer

    Human papillomaviruses (HPV) cause cervical cancer

    Hepatitis B and C viruses cause liver cancer

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    Cancers linked to obesity (Calle et al.,NEJM April 24 2003)

    Oesophagus, colon, rectum, liver,gallbladder, pancreas, kidney, non-

    Hodgkins lymphoma, myeloma

    Prostate, breast, uterus, ovary, cervix

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    Breast cancer and breastfeeding: collaborative

    reanalysis of individual data from 47 epidemiological

    studies in 30 countries, including 50 302 women with

    breast cancer and 96 973 women without the disease

    Collaborative Group on Hormonal Factors in Breast

    Cancer Lancet (2002) 360:187-195

    Reduction in risk:

    3.0% per year for earlier age at first birth

    7.0% per birth4.3% per year of breastfeeding

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    Predicted reduction in Western breast cancer rates if women

    had 6 or 7 children and breastfed each child for 2 yearsLancet (2002) 360: 187-95

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    Percentage of US cancer deaths that would be

    avoided by eliminating known risks

    (Peto (2001) Nature 411: 390-395)

    Cause Currentsmokers

    Non-smokers

    Smoking 60 -

    Known infections 2 5Alcohol 0.4 1Sunlight 0.4 1

    Air pollution 0.4 1Occupation 0.4 1Lack of exercise 0.4 1DietOverweight(BMI>25kg m

    2)

    Other dietary factors

    4

    4 - 12?

    10

    10 - 30?Presently unavoidable About a quarter At least half

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    Collaborative cancer research

    Epidemiology Avoidable causes Prevention

    Genetics Mechanisms Better treatment

    Biology Better screening

    Epidemiology, genetics and biology

    Clinical research

    Evaluation of treatment,

    screening and prevention

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    Pre-molecular cancer epidemiology

    1950s and 1960s:Cancer rates in adults suggest a series of

    rate-limiting heritable steps in multi-stage

    carcinogenesis.

    Armitage and Doll (1954) Br J Cancer 8: 1-12

    The age distribution of cancer and a multi-stage theory of

    carcinogenesisReprinted in Int J Epid (2004) 33: 1174-79

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    The tumour suppressor gene hypothesis for

    polyposis coli and familial retinoblastoma

    Cancers in apparently autosomal dominant

    syndromes such as polyposis coli and familial

    retinoblastoma appear as a result of

    subsequent somatic mutations in which

    individual cells become homozygous for a

    recessive neoplasm-causing gene.

    DeMars 1969

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    Colon cancer

    incidence isproportional to

    the cube of age

    in familial

    polyposis coli,

    and to the fifth

    power of age in

    the general

    population

    Ashley (1969)

    J Med Genet 6,378

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    USA (Connecticut)

    0

    50

    100

    150

    200

    250

    300350

    20 40 60 80

    Denmark

    0

    50

    100

    150

    200

    250

    300

    350

    20 40 60 80

    Iceland

    0

    50

    100

    150

    200

    250

    300

    350

    20 40 60 80

    Japan (Osaka)

    0

    20

    40

    60

    80

    100

    20 40 60 80

    Age distribution of breast cancer incidence

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    Model of rate of breast tissue ageingPike et al (1983) Nature 303, 767

    0 10 20 30 40 50 60 70

    Age

    Bre

    asttissue

    ag

    eing

    rate

    Menarche

    First birth

    Start of

    perimenopausal

    period

    Last menstrual

    period

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    Stem cells and cancerCancer is caused by the accumulation of several genetic or

    epigenetic changes in a single cell.

    Teenage exposure (e.g. smoking or cervical HPV infection)greatly increases your cancer risk 50 years later.

    The only cells that survive for 50 years are stem cells.

    Therefore most cancers develop in very long-lived stem cells.

    Stem cells must have evolved to minimise theaccumulation of multiple mutations in a single cell.

    To understand cancer we have to understand stem cellbiology.

    Shackleton et al (2006) Nature 439: 84-88. Generation of afunctional mammary gland from a single stem cell

    Frank and Nowak (2004) Bioessays 26: 291-9. Problems of

    somatic mutation and cancer

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    Stem cell mechanisms to prevent mutationCairns (1975) Nature 255: 197-200

    1. The immortal strand. When a stem cell

    divides, the original DNA stays in the stem celldaughter, and the new copy (containing copying

    errors) goes into the differentiating daughter

    and is discarded within a week or two.

    Copied DNA in differentiating daughter

    Original DNA in stem cell

    daughter

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    Stem cell mechanisms to prevent mutation

    2. DNA damage causes stem cell death rather

    than error-prone repair

    3. Mutant stem cells cannot escape from the

    stem cell niche.

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    Stem cell mechanisms to prevent mutation

    4. Stem cell hierarchy. With four successive layers of

    stem cells that divide 12 times and then die, the

    maximum number of divisions in any cells ancestry is

    reduced from ~20,000 to 48 in a human lifespan

    12 divisions in 20 days (every 40 hours)

    12 divisions in 8 months (every 20 days)

    12 divisions in 8 years (every 8 months)

    12 divisions in 100 years (every 8 years)

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    Stem cell theorem

    How many times should a stem cell divide,

    contributing a daughter to the next level in

    a hierarchical stem cell compartment, to

    minimise the number of divisions any cellcan undergo?

    Answer: e (= 2.7, the base of natural logs)

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    Intestinal crypt

    Leedham et al (2005) J Cell Mol Med 1:11-24

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    Lung cancer mortality in continuing smokers

    and ex-smokers. Halpern et al (1993) JNCI 85, 457

    01

    2

    3

    4

    5

    6

    7

    40 45 50 55 60 65 70 75

    Age

    D

    eath

    rate

    per1000

    Age stopped

    60-64

    55-59

    50-54

    40-49

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    The stem cell perspective

    What is the last step in lung cancer? It cannot becaused by smoking, as the incidence rate doesnot fall when smokers give up. The division of along-lived mutant stem cell seems plausible.

    Do most mutagens cause cancer mainly by killingstem cells, causing stem cell proliferation, ratherthan by direct mutagenesis?

    Cairns (2002) PNAS 99: 10567-70

    Are stem cell proliferation (hormones, childhoodcancers) and chromosomal damage (Bloomssyndrome, asbestos) more important causes ofmost cancers than point mutation (XP)?

    Cairns (1998) Genetics 148: 1433-40

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    0

    5

    10

    15

    20

    25

    30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69

    Age

    An

    nualdeath

    ratep

    er100,0

    00

    British cervical cancer mortality before screening

    began (1920 birth cohort)

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    CIN3 and cervical cancer

    Almost 10% of British women develop CIN3 byage 50.

    The prevalence of CIN3 in unscreened middle-

    aged women is never much more than 1% evenpopulations where ~5% will eventually developcancer.

    The cervical cancer incidence rate in unscreened

    populations is constant from ages 50 to 85.Therefore most undiagnosed CIN3s musteventually regress cytologically but remain atconstant risk of malignant progression for at

    least 35 years.

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    15 25 35 45 55 65 75 85

    0

    10

    20

    30

    40

    50

    60

    70

    80

    Age (years)

    Cum

    ulativemortality

    (%)

    Genetic Rb

    Sporadic Rb

    General population

    Cumulative lifetime cancer mortality for general

    population, unilateral sporadic retinoblastoma survivors

    and genetic retinoblastoma survivors.

    Fletcher et al. (2004) J Natl Cancer Inst 96:357-63

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    Cancer mortality after age 25 in hereditary

    retinoblastoma survivors

    Fletcher et al. (2004) J Natl Cancer Inst 96:357-63

    Number of deaths SMR

    Bone & sarcomas 5 74.3

    Melanoma 2 23.3

    Brain 2 6.6

    Lung 14 7.0

    Bladder 5 26.3

    Breast 3 3.7Skin (non-melanoma) 1 58.5

    Other cancer 9 2.2

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    Apart from adrenocortical carcinoma in p53

    carriers and retinoblastoma in Rb1 carriers, the

    same early onset cancers are associated with

    germline p53 or Rb1 mutation (osteosarcoma,

    soft tissue sarcomas, breast cancer and brain

    cancer).

    Most of the adult-onset cancers in Rb1 carriers

    are caused by DNA-damaging agents

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    Breast cancer and percent mammographicdensity. Boyd et al. (1995).

    Adjusted

    Density Cases Controls odds ratio

    None 10 25 1.0

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    Correlates of breast density

    Breast cancer risk

    Sister with dense breasts

    HRT

    Late age at first birth

    No breast feeding

    Nulliparity

    IGF-I

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    3% 10% 20%Lifetime risk (log scale)

    Polygenic model for breast cancer riskPharoah et al (2002) Nat Genet 31, 33

    Peto (2002) Cancer Cell 1, 411

    Lifetime risk General population Breast cancer patients

    20% 0.03 0.25

    C l ti b t i k f fi t d l ti f

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    Cumulative breast cancer risks for first degree relatives of

    CHEK2*1100delCheterozygotes with bilateral breast cancer,

    first degree relatives ofCHEK2wild types with bilateral breast

    cancer, and the expected rate in the general population

    Johnson et al. (2005) Lancet 366: 1554-7

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    Familial site-specific cancer risks in SwedenDong and Hemminki (2001) Int J Cancer 92 144

    Parent or sibling affected Parent and sibling affected

    SIR (N) SIR (N)

    Breast 1.9 (1577) 2.4 (42)

    Colon 2.0 (182) 27.6 (13)

    Rectum 1.8 (47) 32.8 (2)Ovary 2.6 (88) 25.5 (4)

    Prostate 2.7 (134) 23.7 (6)

    Thyroid 6.9 (69) 292.0 (18)

    Other endocrine 3.3 (84) 70.3 (8)

    Lung 1.7 (112) 13.7 (3)Kidney 1.8 (45) 28.4 (2)

    Melanoma 2.7 (256) 10.4 (7)

    Brain & CNS 1.8 (188) 11.4 (6)

    Leukaemia 2.3 (74) 33.3 (4)

    Lymphoma 1.8 (76) 12.7 (2)

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    The damage done to British medicalresearch by influential ethical experts

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    In the late 1980s Ian Kennedy told a Select

    Committee that HIV testing of the anonymiseddiscarded residue of blood samples from pregnant

    women was unethical because a test must confer

    some benefit on the patient.

    This illogical assertion was accepted by the Select

    Committee and delayed the introduction of HIV

    monitoring, despite the pleas of many eminentscientists including Black, Cox, Doll, Bodmer,

    Hoffenberg and Weiss. Black et al. (1987) Lancet ii 1277

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    Data can be used for any medical research purposeunder the [Data Protection] Act, without the need for

    the consent of individuals. So Professor Julian Peto is

    simply wrong when he states that the Data Protection

    Act is preventing data from being passed to medicalresearchers.

    (Lord Falconer. Letter to The Times, May 17th 2001.)

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    The Data Protection Act in the real world

    The General Medical Council instructed doctors thatthey might face litigation under the Data Protection

    Act if they notified their patients to cancer registries

    without obtaining fully informed consent.

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    The increasing bureaucratic burden imposed by

    ethicists causes harm to patients and does

    enormous damage to British cancer research.

    Legislation is needed to restore the followingprinciple:

    'Consent is not required for access to medical

    records for non-commercial medical research that

    has no effect on the individuals being studied and

    has been approved by an accredited research ethics

    committee.

    93% of the audience voted for this proposed law at a

    Parliamentary Group on Cancer public meeting

    (Nov 5th

    2002)

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    Olivia Fletcher

    Nikki JohnsonClare Palles

    Maribel Almonte

    Isabel dos Santos Silva

    John Cairns

    Richard Doll

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