Benign Breast Disease – Focus on Atypia Lynn C. Hartmann, MD Women’s Cancer Program Mayo Clinic...

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Benign Benign Breast Breast Disease – Disease – Focus on Focus on Atypia Atypia Lynn C. Hartmann, MD Lynn C. Hartmann, MD Women’s Cancer Program Women’s Cancer Program Mayo Clinic Cancer Center Mayo Clinic Cancer Center

Transcript of Benign Breast Disease – Focus on Atypia Lynn C. Hartmann, MD Women’s Cancer Program Mayo Clinic...

Page 1: Benign Breast Disease – Focus on Atypia Lynn C. Hartmann, MD Women’s Cancer Program Mayo Clinic Cancer Center.

Benign Breast Benign Breast Disease –Disease –Focus on Focus on

AtypiaAtypia

Lynn C. Hartmann, MDLynn C. Hartmann, MD

Women’s Cancer ProgramWomen’s Cancer Program

Mayo Clinic Cancer CenterMayo Clinic Cancer Center

Page 2: Benign Breast Disease – Focus on Atypia Lynn C. Hartmann, MD Women’s Cancer Program Mayo Clinic Cancer Center.

• 1967-2001: 13,647 women 1,173 cancers

• Iowa SEER Registry for comparison

• Mayo Benign Breast Disease Cohort

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Breast Carcinogenesis Breast Carcinogenesis (presumed)(presumed)

Benign Breast Disease Breast Cancer

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BBD: Risk PredictionBBD: Risk Prediction

Relative risks by histologyRelative risks by histology

Non-Non-proliferativeproliferative

ProliferativeProliferativeno atypiano atypia

Atypical Atypical hyperplasiahyperplasia

1.271.27 1.881.88 4.244.24

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Cancer Prev Res 2011 Dec;4(12):1947-52.

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On premalignant lesionsOn premalignant lesions

““If becoming a BC results from randomly If becoming a BC results from randomly acquiring multiple mutations enabling malignant acquiring multiple mutations enabling malignant behavior (growth, motility, invasion, etc), why is behavior (growth, motility, invasion, etc), why is there an apparent order to the development there an apparent order to the development and progression of premalignant lesions?”and progression of premalignant lesions?”

D. Craig AllredD. Craig Allred

Ca Prev Res, 2011Ca Prev Res, 2011

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On premalignant lesionsOn premalignant lesions

• Incidence of premalignant lesions in non-Incidence of premalignant lesions in non-cancerous breasts declines significantly cancerous breasts declines significantly from PDWA to atypia to CISfrom PDWA to atypia to CIS

• Regions of gradual histologic continuity Regions of gradual histologic continuity between these existbetween these exist

• Premalignant lesions much more Premalignant lesions much more common in cancer-containing breasts common in cancer-containing breasts (coexistent atypia ~ 50%).(coexistent atypia ~ 50%).

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On premalignant lesionsOn premalignant lesions

• Atypias coexisting with DCIS and Atypias coexisting with DCIS and invasive BC share genetic alterationsinvasive BC share genetic alterations

• ~ 50% of atypias contain monoclonal ~ 50% of atypias contain monoclonal populations of cellspopulations of cells

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BBD: Risk PredictionBBD: Risk Prediction

Relative risks by histologyRelative risks by histology

Non-Non-proliferativeproliferative

ProliferativeProliferativeno atypiano atypia

Atypical Atypical hyperplasiahyperplasia

1.271.27 1.881.88 4.244.24

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Atypia (ADH and ALH)Atypia (ADH and ALH)

• How well do current models work for How well do current models work for women with atypical hyperplasia?women with atypical hyperplasia?

• Does a positive family history further Does a positive family history further increase risk?increase risk?

• Can we better stratify risk within atypia?Can we better stratify risk within atypia?

• Can biomarkers stratify risk?Can biomarkers stratify risk?

Page 11: Benign Breast Disease – Focus on Atypia Lynn C. Hartmann, MD Women’s Cancer Program Mayo Clinic Cancer Center.

Atypical HyperplasiaAtypical Hyperplasia

• ~ 50,000 US women diagnosed with AH ~ 50,000 US women diagnosed with AH each yeareach year

• ~ 54,000 US women diagnosed with ~ 54,000 US women diagnosed with DCIS each yearDCIS each year

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Atypical Ductal Hyperplasia (ADH)Atypical Ductal Hyperplasia (ADH)

Within ducts, proliferation Within ducts, proliferation of monotonous cells in of monotonous cells in architecturally complex architecturally complex patterns including patterns including secondary lumens and secondary lumens and micropapillary formations.micropapillary formations.

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Atypical Lobular Hyperplasia (ALH)Atypical Lobular Hyperplasia (ALH)

Expanded acini filled Expanded acini filled with monotonous with monotonous polygonal cells with polygonal cells with loss of acini lumens. loss of acini lumens.

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Major Studies of Atypia and Associated Breast Cancer

Study Year Population Method of Diagnosis

Pathology Review

Median f/u (yrs)

# (%) with atypia

Breast Cancer Relative Risk

(95% CI)

Comments

Nashville 1 1985 10542 Tennessee patients with BBD 1950-1968

Surgical breast biopsy

Central review

17.5 377 (3.6%)268 women with FU (283 biopsies)

ALH 4.2 (2.6-6.9)

ADH 4.3 (2.7-6.9)

39 women with AH & FH with RR=8.9 (4.8-17) 

Nurses Health Study 2

1992 Nurses Health Study part’s with cancer or BBD, 121 cases/488 controls 

Surgical breast biopsy

Central review

9   3.7(2.1-6.8)

Risk higher in premenopausal than postmenopausal. FH does not increase risk. 

Mayo3 2005 9087 women with biopsied BBD 1967-1991

Surgical breast biopsy

Central review 

12.2 336 (3.7%) 4.4(3.4-5.6)

REF Iowa SEER

1Dupont WD, Page DL: Risk factors for breast cancer in women with proliferative breast disease. N Engl J Med 1985; 312:146-151. 2London SJ, Connolly JL, Schnitt SJ, Colditz GA: A prospective study of benign breast disease and the risk of breast cancer. JAMA 1992; 267:941-9443Hartmann LC, Sellers TA, Frost MH, et al.: Benign breast disease and the risk of breast cancer. N Engl J Med 2005; 353:229-237.

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Gail modelGail model

• Best-known model; incorporates Best-known model; incorporates multiple factors in risk calculation multiple factors in risk calculation

• Gail model on NCI website is viewed ~ Gail model on NCI website is viewed ~ 500,000 times a year500,000 times a year

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Atypia and Gail modelAtypia and Gail model

• 331 women with atypia in Mayo BBD 331 women with atypia in Mayo BBD cohortcohort

• Median follow-up 13.7 yearsMedian follow-up 13.7 years

• 58 invasive breast cancers; 8 in the first 58 invasive breast cancers; 8 in the first five yearsfive years

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c-statistic 0.50 (0.44-0.55)

Pankratz et alJCO 11/08

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Gail model features and association with Gail model features and association with breast cancer riskbreast cancer risk

CharacteristicsCharacteristics P-valueP-value

Age at biopsyAge at biopsy 0.9030.903

Age at menarcheAge at menarche 0.3980.398

Age at first live birthAge at first live birth 0.2690.269

First degree relatives with First degree relatives with breast cancerbreast cancer

0.2630.263

Number of biopsiesNumber of biopsies 0.4910.491

331 women with atypia—Mayo

Pankratz, Hartmann et al. JCO, 2008

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If tissue is the basis of the model . . .

In displaying the phenotype of atypia, the tissue has already integrated various risk exposures.

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Boughey J C et al. JCO 2010;28:3591-3596

©2010 by American Society of Clinical Oncology

Cumulative risk of BC after atypiaCumulative risk of BC after atypia

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Cumulative breast cancer incidence Cumulative breast cancer incidence among women with atypical hyperplasiaamong women with atypical hyperplasia

Bre

as

t C

an

ce

r In

cid

en

ce

3+

38%

23%

12%

5%

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Involution (Regression)Involution (Regression)

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““In summary, recent work by the Mayo group In summary, recent work by the Mayo group emphasizes the emphasizes the potential for using visual potential for using visual assessmentsassessments of tissue architecture as of tissue architecture as integrated measures of riskintegrated measures of risk. .

JNCI, Nov 2010JNCI, Nov 2010

J Natl Cancer Inst (2010) 102 (22): 1685-1687.

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JNCI editorial, Nov 2010JNCI editorial, Nov 2010

• Improving breast cancer risk prediction Improving breast cancer risk prediction is critically important given the is critically important given the limitations of currently available modelslimitations of currently available models and the and the desirability of tailoring screening desirability of tailoring screening and preventionand prevention to levels of risk.“ to levels of risk.“

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No breast cancer

Breast cancer

Matched on age, era, histology

Can molecular analyses differentiate between cases and controls?

Biomarker StudiesBiomarker Studies

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Association of cyclooxygenase-2 staining intensity in atypia Association of cyclooxygenase-2 staining intensity in atypia with risk of breast cancer *with risk of breast cancer *

COX-2 staining COX-2 staining intensityintensity

No. of women No. of women RR (95% CI)**RR (95% CI)**

All women All women 235235 3.31 (2.38 to 4.49)3.31 (2.38 to 4.49)

Staining categoryStaining category

0-1+0-1+ 130130 2.63 (1.56 to 4.15)2.63 (1.56 to 4.15)

2+2+ 7171 3.56 (1.94 to 5.97)3.56 (1.94 to 5.97)

3+3+ 3434 5.66 (2.59 to 10.75)5.66 (2.59 to 10.75)

*COX-2 = cyclooxygenase-2; RR = relative risk; CI = confidence interval

**Standarized incidence ratio and 95% confidence intervals, comparing observed number of breast cancers with those expected. All results account for age and calendar period.

Visscher DW et al, J Natl Cancer Inst 2008

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Santisteban M et al. Breast Cancer Res Treat 2009

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ER Expression in AtypiaER Expression in Atypia

• 246 women with AH who had open surgical 246 women with AH who had open surgical biopsy, 49 of whom developed BC biopsy, 49 of whom developed BC

• 87 with ADH87 with ADH• 141 with ALH141 with ALH• Median F/U = 14.4 yrsMedian F/U = 14.4 yrs• Used computerized digital image analysis to Used computerized digital image analysis to

quantitate ER expressionquantitate ER expression

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Cancer Prev Res 2011 Mar;4(3):435-44.

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Relationship between ER expression and atypia type.

Cancer Prev Res 2011 Mar;4(3):435-44.

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Cancer Prev Res 2011 Mar;4(3):435-44.

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ADH showing strong, homogeneous ER staining

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ALH showing moderate ER staining heterogeneously

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Relationship between ER expression and age in women with atypical hyperplasia.

Cancer Prev Res 2011 Mar;4(3):435-44.

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ER Expression in AtypiaER Expression in Atypia

• ER expression did not vary by –ER expression did not vary by –

-- # of foci of atypia-- # of foci of atypia

-- Involution extent (controlling for age)-- Involution extent (controlling for age)

-- Extent of family history-- Extent of family history

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Atypia: SummaryAtypia: Summary

• Atypia = High risk finding (RR ~ 4)Atypia = High risk finding (RR ~ 4)

• Features that do NOT further stratify Features that do NOT further stratify risk: risk: Family history Family history

Type of atypiaType of atypia

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Atypia: SummaryAtypia: Summary

• Features that DO further stratify risk:Features that DO further stratify risk:

# of foci of atypia# of foci of atypia

extent of involutionextent of involution

younger ageyounger age

biomarkers, eg COX-2 and Ki67biomarkers, eg COX-2 and Ki67

require validationrequire validation

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Missing ADH ALH ADH and ALH

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Better risk prediction modelBetter risk prediction model

Clinical Risk Factors

Clinical Risk Factors

Benign HistologyBenign

Histology

BiomarkersBiomarkersMammographic

DensityMammographic

Density

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Mayo BBD Mayo BBD Cohort Cohort

Breast CliniciansLynn Hartmann, MDAmy Degnim, MDKarthik Ghosh, MDJudy Boughey, MD

Basic ScienceDerek Radisky, PhD

Database Management Marlene Frost, PhD Teresa AllersJo Johnson Mary Campion Melanie Kasner

Biostatisticians Shane Pankratz, PhDRob Vierkant, MASLorelle Benetti, BARyan Frank, BA

Pathologists Dan Visscher, MDAziza Nassar, MDCarol Reynolds, MD

EpidemiologyCeline Vachon, PhD