10/29/2015 1 Miami Cancer Institute Breast Cancer in Young Women • No disclosures • Discuss the epidemiology and biology of early onset breast cancer • Discuss local therapy considerations and the role of CPM • Discuss fertility concerns and preservation options Age (years) 1 in x 30 1,523 40 173 50 45 60 21 70 12 80 8 SEER 17
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Breast Cancer in Young Women - Lopez Penalver...and a family history of breast or ovarian cancer had a mutation in one of these genes, where as only 8% of women with early onset breast
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10/29/2015
1
Miami Cancer Institute
Breast Cancer in Young Women
• No disclosures
• Discuss the epidemiology and biology of early onset breast cancer
• Discuss local therapy considerations and the role of CPM
• Discuss fertility concerns and preservation options
Age (years) 1 in x
30 1,523
40 173
50 45
60 21
70 12
80 8
SEER 17
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Age In Situ Cases Invasive Cases Deaths
<40 1,900 10,980 1,020
< 50 15,650 48,910 4,780
50-64 26,770 84,210 11,970
65+ 22,220 99,220 22,870
All Ages 64,640 232,340 39,620
Breast Cancer Facts and Figures 2013-2014
5%
SEER Stat Facts
SEER 9
1975-2000
Anders, Semin Oncol 2009;36(3):237-249
1975-
SEER 17
2000-2004
• Family History
• Race
• BMI/Obesity
• Hormonal
• Other
• History of mantle radiation
• Heavy alcohol consumption
• High intake of red meat
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• Genetic predisposition is a stronger risk factor
• Suggests a familial cancer syndrome• BRCA
• P53
• PTEN
• 50% of women diagnosed with breast cancer < 30 and a family history of breast or ovarian cancer had a mutation in one of these genes, where as only 8% of women with early onset breast cancer without a family history.
Eur J Cancer 2006;42:1143-1150
• More common in white women over 45
• African American women < 35
• 2X the incidence
• 3X the mortality
Breast Cancer Facts & Figures
Deshpande, J Surg Res 2009;153(1):105-113
Discrepancy in mortality is seen mainly in Stage I & II
• Prospective observational study
• Women with breast cancer < 40
• Diagnosed and treated in UK 2000-2008
• N=2915
White
N=2690 (91%)
Black
N=118 (4%)
P value
Median tumor diameter 22m 26 mm .01
Multifocality 29% 43% .002
Grade 3 60% 68% NS
Nodal positivity 51% 56% NS
TN breast cancer 19% 26% .04
Copson, Br J Cancer 2014;110 (1): 230-241No difference in receipt of chemotherapy
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Copson, Br J Cancer 201; 110 (1): 230-241
African American women had significantly worse OS & DFS
Overall Survival Disease Free Survival
MVA: Black ethnicity was an independent risk factor for DRFS in ER+
disease independent of BMI, tumor size, grade, or nodal status (HR 1.5)
Copson, Br J Cancer 201; 110 (1): 230-241
ER neg ER +
• Postmenopausal
• ↑ risk
• Premenopausal
• ↓ risk
BMI
Kg/m2
Premenopausal
(n=1179)
Postmenopausal
(n=5629)
< 22.5 0.96 (0.85-1.08) 0.85 (0.8.-0.9.)
22.5-24.9 1.00 (0.9-1.11) 1.00 (0.95-1.06)
25-27.4 0.93 (0.82-1.05) 1.10 (1.04-1.16)
27.5-29.5 0.99 (0.84-1.16) 1.21 (1.13-1.29)
> 30 0.79 (0.68-0.92) 1.29 (1.22-1.36)
Trend per 10 units 0.86 (0.73-1.00) 1.4 (1.31-1.49)
Reeves, BMJ 2007; 336(7630): 1134-1145
Relative Risk of breast cancer incidence according to BMI
O
B
E
S
I
T
Y
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Reeves, BMJ 2007; 336(7630): 1134-1145
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• Meta-analysis• 9 cohort, 22 case control studies
• the association between body weight and ER/PR defined breast cancer risk
• Risk for ER/PR + tumors
• 20% lower among premenopausal women
• 82% higher among postmenopausal women
• Each 5 unit ↑ in BMI
• 33% ↑ risk among postmenopausal women
• 10% ↓ risk among premenopausal women
• No association with ER-/PR- tumors
Suzuzki, Int J Cancer 2009; 124: 698-712
Healthy
weight
(BMI < 25)
Overweight
(BMI > 25 to < 30)
Obese
(BMI > 30)
P value
(healthy
vs obese)
Number (%) 1526 (54%) 784 (27% 533 (19%)
Median tumor size 20 mm 24mm 26 mm <.001
Grade 3 tumors 59% 64% 64% .05
Node positive 49% 54% 55% NS
ER neg 32% 40% <.0001
Triple neg 18% 19% 25% .001
Copson, Ann Oncol 2015; 26(1): 101-112
Women < 40 with Breast Cancer
• 82 studies
• N= 213,075 women
• Summary RRs of total mortality for obese women
• Premenopausal: 1.75 (95% CI: 1.26-2.41)
• Postmenopausal: 1.34 (95% CI: 1.18-1.53)
Obesity is associated with a poorer overall and breast cancer survival in pre- and postmenopausal breast cancer
*Lifestyle modifications can improve OS
Chan, Ann Oncol 2014; 25 (10): 1901-1904
Anders, Semin Oncol 2009;36(3):237-249
SEER 17
2000-2005
5 5 yryr relative survivalrelative survival
< 40 : 72< 40 : 72--80%80%
> 40: 84> 40: 84--86%86%
10 yr relative survival
SEER 9
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• Young patients have more aggressive phenotype
– Larger tumor size
– More grade 3
– Higher proliferation rates
– More HER2+ tumors
– Absence of ER/PR expression
– More lymph node positive
• DCIS: Should age impact treatment decisions?
• Invasive Breast Cancer: Age and molecular subtype
• Is BCT safe or is mastectomy better?
• The role of contralateral prophylactic mastectomy (CPM)
• Is there a survival advantage to CPM in young women?
23,810 cases from the Florida Cancer Data System
Sumner, Ann Surg Oncol 2007;14(5):1638-1643
Desantis, JNCI 2011;61:409-411
SEER 9 data
• NSABP B-17
• EORTC 10853
• SweDCIS
• UK/ANZ
Lumpectomy +/- radiation
*Younger women tend to have a ↑ risk of in breast tumor recurrence*Radiation was beneficial in all age groups and significantly
beneficial in older patients
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DCIS treated by lumpectomy
NSABP B=17
1985-1990
N=818
NSABP B-24
1991-1994
N= 1,804
Lumpectomy + XRT
R
No
radiotherapy
N=403
Radiation
therapy
N=410
Placebo
N=900
Tamoxifen
N=899
Characteristic DCIS-IBTR Invasive-IBTR
HR (95% CI) P value HR (95% CI) P value
Age at diagnosis
(y)
> 65 1.00 (*)
<0.001
1.00 (*)
0.00355-64 1.72 (1.1-2.7) 1.5 (1.0-2.26)
45-54 1.81 (1.16-2.81) 1.8 (1.22-2.66)
< 45 2.90 (1.84-4.56) 2.14 (1.4-3.26)
Tumor size (cm) < 1.0 1.00 (*)0.89
1.00 (*)0.70
> 1.0 1.03 (0.73-1.44) 0.94 (0.68-1.3)
Mode of
Detection
MMG 1.00 (*)0.01
1.00 (*)0.03
Clinically 1.48 (1.09-2.01) 1.37 (1.03-1.84)
Comedonecrosis
(B24)
Absent 1.00 (*)<0.001
1.00 (*)0.41
Present 2.21 (1.52-3.20) 0.87 (0.62-1.21)
Treatment group,
margin status
LRT, neg 1.00 (*).05
1.00 (*)<.001
LRT, +/ ? 1.65 (1.0-2.73) 2.61 (1.68-4.05)
LRT + Tam, neg 1.00 (*).31
1.00 (*).40
LRT + Tam, +/? 1.32 (0.77-2.28) 1.27 (0.73-2.20)
Wapnir JNCI 2011
JNCI 2010;41:162-77
Effect of radiotherapy (RT) after breast-conserving surgery (BCS):
10-year cumulative risks of any ipsilateral breast event
Irrespective of:
• Age at diagnosis• Extent of breast conserving surgery• Use of tamoxifen• Method of DCIS detection• Margin status• Focality• Grade• Comedonecrosis• Architecture• Tumor size
XRT halved the rate of ipsilateral
breast events
N = 3,729, median f/u 8.9 yrs
15.2%
absolute 10 yr riskreduction
Effect of radiotherapy (RT) after breast-conserving surgery (BCS):
10-year cumulative risks of any ipsilateral breast event by age at diagnosis
JNCI 2010;41:162-77
HR for IBTR:
• < 50 0.69• > 50 0.38• 2p = 0.0004
HR for IBTR:• < 40, 40-49, 50-59, 60-
69, >70• P=0.02 benefit maintained(P = .02) The difference between the proportional
reductions in younger and older women did not appear to be accounted for by differences in histological grade or comedonecrosis or by differences in nuclear grade or architecture .
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NSABP B-24 UK/A/NZ EBCTCG
% of pts < 50 66% 9.5% 17.9%
Reduction of recurrence
< 50 38% 27% overall
(ipsilateral/ contra)40% in those getting XRT
*
45%
50-59
22%
37%
60-69 54%
70+ 54%
* No effect of age on tamoxifen efficacy: only XRT and tumor grade influenced efficacy
Petrelli, Radiother Oncol 2011; 195-9
The benefit of tamoxifen is similar for women younger &
older than 50 independent of RT performed
Tamoxifen is uniformly beneficial in ↓ recurrences
XRT is beneficial to all women, but less beneficial in younger women
• Not appropriate in premenopausal women
• Postmenopausal younger women
IBIS-II DCIS
• Randomize postmenopausal women with DCIS to tamoxifen vs anastrozole x 5 years
NSABP B-35
• Anastrozole vs tamoxifen in postmenopausal patient with DCIS treated with lumpectomy + XRT
Boyages, Cancer 1999;85:616–28
Meta-analysis
BCS + XRT• LR 8.9%• Avg f/u = 62 months
Mastectomy• LR 1.4%• Average f/u = 80 months
All ages
• Local recurrence is higher in younger women
• XRT is less effective in younger women
• The Oxford Overview (EBCTCG) found that LR and
survival are linked (4:1)
prospective trial
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Despite recurrence,
survival remains
outstanding
93% 5 yr OSNCDB Data
N=211,645 DCIS, n=30,263
85% 10 yr OSSEER DataN=2,819
1993-1998
AJCC Cancer Staging Manual 2010 AJCC Staging Atlas, 2012
Long‐term outcome after BCS with XRT for
mammographically detected DCIS
Solin, Cancer 2005;103(6):1137-1146
Retrospective series1,003 women98% DSS at 15 yrs
Death from breast cancer for the different treatment strategies
Soeteman , JNCI 2013;105:774-781• 1 million simulated women aged 45 yrs
• B-17, B-24, UK/A/NZ
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Young Age and Recurrence?
Is Age just a Number?
LR
benefit
No
Survival benefit
Should age impact treatment decisions?
Biology
Solin (n=1,003)
P value LR Univariate Multivariate
Age 0.00062 0.00057
Margins 0.024 0.026
Institution NS NS
Date of Tx NS NS
Tumor
location
NS NS
XRT dose NS NS
MMG
findings
NS NS
Clinical T size NS Not incl
Volume
excised
NS Not incl
Kerlikowske (n=1,036)
Hazard Ratios Any LR
Age (40-49 v > 50) 1.4 (0.9-2.4)
Margins
Positive 3.5 (1.6-7.5)
Uncertain 3.0 (1.4-6.7)
1-1.9 mm 2.5 (1.1-5.9)
2-<10mm 3.1 (1.1-9.0)
> 10mm 1.0 (referent)
Nuclear grade
High 4.6 (2.2-9.5)
Intermediate 2.1 (1.1-4.2)
Low 1.0 (referent)
Solin, Cancer 2005 Kerlikowske, JNCI 2003
N=440
Turaka, J Surg Oncol 2009
N=1902Bailes, Cancer 2013
The importance of agemay, in part, depend on what confounding factors
you adjust for (or don’t)
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2,037 patients with DCIS
Age (years) <40
N=132
40-70
N=1,690
>70
N=215
p
Muliticentricity (%) 29.3 17.7 13.3 0.004
Multifocality (%) 30.1 17.5 13.0 0.002
Alvarado, Ann Surg Oncol 2012
7,771 Mastectomy Patients with DCIS
Unifocal
N=6,884
Multifocal/Multicentric
N=887
p
Median age (y, range) 61 (49-71) 55 (46-67 <0.001
Yerushalmi, Ann Oncol 2012
2,037 cases of DCIS p
<40
(n=127)
40-70
(n=1,653)
>70
(n=214)
<40 vs >40
Grade 1 (%) 4.7 9.8 12.20.049
Grade II/III (%) 95.3 90.2 87.9
Alvarado, Ann Surg Oncol 2012
403 cases of DCIS p
Mean age (y, range) Low grade = 58.4 High grade = 53.0 0.027