Literature DB >> 24548865

Reproductive risk factors and oestrogen/progesterone receptor-negative breast cancer in the Breast Cancer Family Registry.

M E Work1, E M John2, I L Andrulis3, J A Knight4, Y Liao1, A M Mulligan5, M C Southey6, G G Giles7, G S Dite8, C Apicella8, H Hibshoosh9, J L Hopper10, M B Terry11.   

Abstract

BACKGROUND: Oestrogen receptor (ER)- and progesterone receptor (PR)-negative (ER-PR-) breast cancer is associated with poorer prognosis compared with other breast cancer subtypes. High parity has been associated with an increased risk of ER-PR- cancer, but emerging evidence suggests that breastfeeding may reduce this risk. Whether this potential breastfeeding benefit extends to women at high risk of breast cancer remains critical to understand for prevention.
METHODS: Using population-based ascertained cases (n=4011) and controls (2997) from the Breast Cancer Family Registry, we examined reproductive risk factors in relation to ER and PR status.
RESULTS: High parity (≥3 live births) without breastfeeding was positively associated only with ER-PR- tumours (odds ratio (OR)=1.57, 95% confidence interval (CI), 1.10-2.24); there was no association with parity in women who breastfed (OR=0.93, 95% CI 0.71-1.22). Across all race/ethnicities, associations for ER-PR- cancer were higher among women who did not breastfeed than among women who did. Oral contraceptive (OC) use before 1975 was associated with an increased risk of ER-PR- cancer only (OR=1.32, 95% CI 1.04-1.67). For women who began OC use in 1975 or later there was no increased risk.
CONCLUSIONS: Our findings support that there are modifiable factors for ER-PR- breast cancer and that breastfeeding in particular may mitigate the increased risk of ER-PR- cancers seen from multiparity.

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Year:  2014        PMID: 24548865      PMCID: PMC3950851          DOI: 10.1038/bjc.2013.807

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


The extensive epidemiologic literature supports that risk factors vary by subtypes of breast cancer defined by oestrogen receptor (ER) and progesterone receptor (PR) expression (Mctiernan ; Stanford ; Potter ; Yoo ; Britton ; Mccredie ; Althuis ; Colditz ; Largent ; Rusiecki ; Ursin ; Ma ; Rosenberg ; Lord ; Kwan ; Setiawan ; Yang ) and that many established breast cancer risk factors are more strongly associated with hormone receptor-positive (ER+ and/or PR+) cancers; for example, high parity, earlier age at first birth, and later age at menarche have been associated with reduced risk of ER+ and/or PR+ cancers (Althuis ; Nichols ; Ursin ; Ma , 2006b, 2010a; Lord ; Setiawan ; Bao ; Palmer ; Yang ), and postmenopausal hormone therapy use has been associated with an increased risk of ER+ and/or PR+ cancer (Althuis ; Rosenberg ; Setiawan ; Slanger ; Bao ). In contrast, ER- and PR-negative breast cancer (ERPR−), which is associated with a higher tumour grade and poorer prognosis, and is more prevalent in women of African-American race, and in younger age groups (Britton ; Carey ; Bauer ; Brinton ; Stead ; Clarke ), is not associated with reproductive and hormonal risk factors in the same way as hormone receptor-positive cancers. For example, age at first birth appears to be unrelated to ERPRcancer, and high parity has been associated with increased, rather than decreased risk (Rusiecki ; Ma , 2006b; Rosenberg ; Millikan ; Kwan ; Setiawan ; Bao ; Palmer ; Yang ). Breastfeeding is one of the few factors found by a majority of studies to be consistently associated with a reduction in both hormone receptor-positive and -negative breast cancer (Althuis ; Ma , 2006b, 2010a; Lord ; Bao ). For ERPR− or triple-negative (ERPRhuman epidermal growth factor receptor 2 (HER2−)) cancer, in particular, breastfeeding may mitigate the increased risk of ERPRcancer associated with multiparity (Millikan ; Kwan ; Palmer ; Redondo ). Whether this risk reduction in ERPRcancer extends to women at high risk of breast cancer remains critical for prevention, as there are few prevention options available to these women apart from risk-reducing surgeries and chemoprevention; options that are particularly difficult to implement during childbearing age. Given the consistent protective association between breastfeeding and ERPR− and triple-negative cancers in populations unselected for family history of breast cancer, we evaluated associations between reproductive and hormonal risk factors and risk of breast cancer categorised by joint ER/PR status, using population-based data from the Breast Cancer Family Registry (BCFR). In particular, we focused on the associations with parity and breastfeeding and, more importantly, evaluated whether the reduction in risk from breastfeeding in the presence of multiparity extended to higher risk women. We also focused on evaluating oral contraceptive (OC) use, which has previously been associated with an increased risk of ERPRcancer (Althuis ; Rosenberg ).

Materials and methods

Study sample

We included population-based ascertained breast cancer cases and controls from three sites of the BCFR: Northern California, USA; Ontario, Canada; and Melbourne and Sydney, Australia. The details of the BCFR have been published elsewhere (John ; Knight ; Milne ; Work ). Briefly, cases included women aged 18–69 years diagnosed with a first primary invasive breast cancer from 1995 to 2004, with the sample enriched for women at increased genetic and/or familial risk of breast cancer, based on age at breast cancer diagnosis and family history of breast and other cancers (John ). Questionnaire data were obtained for 76%, 72%, and 75% of eligible cases from Northern California, Ontario, and Australia, respectively. Controls were randomly sampled from the population living in the same catchment area as the cases and frequency matched according to 5-year age groupings. Of the eligible controls, 67%, 64%, and 74% participated from Northern California, Ontario, and Australia, respectively, for a total of 5107 cases and 2997 unrelated controls. The ER/PR information was available for 4011 (79%) cases, including 1994 from Northern California, 1088 from Ontario, and 929 from Australia. We also had data available on HER2 status for a subgroup of these women from Northern California and Ontario (N=792).

Risk factor data collection

We collected epidemiologic data through structured questionnaire interviews (conducted either in-person or by telephone) assessing breast cancer risk factors before diagnosis, including OC use, menopausal hormone therapy use, age at menarche, parity, age at first childbirth, breastfeeding history, smoking history, alcohol use, education, body mass index (BMI), and menopausal status.

Tumour marker data collection

For 2351 cases, BCFR study pathologists ascertained ER and PR status from patient tumour tissue using immunohistochemistry (IHC) and/or pathology reports using a standardised protocol and pathology reporting forms. For the remaining cases (N=1660), ER and PR status was provided by the relevant Cancer Registry for that population, or through patient medical records. For all cases with HER2 status available (N=792), the information on HER2 status was provided by the California Cancer Registry (N=639), or patient medical records (N=153). The distribution of risk factors did not differ between cases that did or did not have ER/PR data available for review (data not shown). Where tumour tissue was available, BCFR study pathologists used IHC testing for ER and PR, and categorised tumours as ER or PR positive if ⩾10% of tumour cells stained positive. Where tissue samples were not obtained, pathologists reviewed pathology reports and recorded the ER and PR status listed on the report, or, if information existed on the percent of cells staining positive, employed the same requirements that ⩾10% of cells stained positive resulted in a definition of ER or PR positive. Of the cases, 2486 were ER+PR+, 920 were ERPR−, 397 were ER+PR−, and 208 were ERPR+. Of the sub-population for whom HER2 data were available, 468 were classified as Luminal A (ER+ and/or PR+, HER2−), 118 as Luminal B (ER+ and/or PR+, HER2+), 67 as HER2+ (ER− and PR−, HER2+), and 139 as triple negative (ER−, PR−, and HER2−).

Statistical analysis

Using multivariable unordered polytomous regression, adjusted for age, race/ethnicity, and study site, we compared known or suspected breast cancer risk factors, including OC use (never, ⩽5 years, >5 years), starting date of OC use (never, any use before 1975, all use in 1975 or later; the year 1975 was chosen as a cutpoint because oestrogen and progesterone doses in OC brands had a marked change in formulation in 1975); time since last OC use (never, ⩽10 years, >10–⩽20 years, >20 years); age at menarche (⩽11, 12, ⩾13 years); parity (nulliparous, 1–2 live births, ⩾3 live births); age at first birth (continuous); lifetime breastfeeding duration (never, 0–<12 months, ⩾12 months); combined parity and breastfeeding (nulliparous, 1–2 children never breastfed, 1–2 children ever breastfed, ⩾3 children never breastfed, ⩾3 children ever breastfed); smoking history (never smoker, former smoker, current smoker), BMI (continuous), education (< high school, completed high school), alcohol consumption (<7 drinks per week, ⩾7 drinks per week, current non-drinker), history of ⩾1 first-degree relative with breast cancer (yes, no), and menopausal status (premenopausal or postmenopausal). Cutpoints for categorical variables were selected based on meaningful cutpoints (e.g., education defined by high school graduation, as well as selected cutpoints used in the prior literature for replication purposes). We compared each of the four subgroups defined by ER and PR status with the reference group of controls, for the total population as well as by site (Northern California, Ontario, Australia). Findings did not differ by site (results not shown). We also examined associations separately for premenopausal and postmenopausal women. Because some associations with ERPRcancer differed from associations with ER+PR+ cancer when using controls as the referent group, we also conducted a case-only analysis directly comparing ERPR− cases with ER+PR+ cases. For the molecular subtypes, we conducted a case-only analysis comparing Luminal B, HER2+, and triple-negative cases with Luminal A cases. Because we examined multiple risk factors, we focused on patterns in risk factor associations as well as formal tests for trends. We did not formally adjust for multiple comparisons by altering the significance level but regarded associations that did not follow patterns (by increasing levels of the covariate) as more likely to be spurious. We analysed the level of missingness for each of the variables used in the multivariable regression. Rates of missingness were very low, <2% of the sample, for most variables modelled: there was 0% missingness for parity, 1.7% missingness for OC use, and 0.7% missingness for breastfeeding. Menopausal status was missing for 12% of the participants, however, when we considered the ages and/or surgical history (i.e., bi-lateral oophorectomy) of the participants, we were able to classify menopausal status for 61% of the women missing data by assigning postmenopausal status to women over the age of 50 or those who had undergone surgical menopause, and included them in the analysis as postmenopausal. Findings did not differ when these women were excluded from the analysis (results not shown). We considered results statistically significant if the 95% confidence interval (CI) did not include the value of ‘1'. All statistical analyses used SAS Version 9.2 Software (SAS Institute, Cary, NC, USA).

Results

Table 1 summarises frequencies of demographic characteristics, risk factors, and tumour characteristics for breast cancer cases categorised by joint ER/PR status. The ER− cases were more likely to be younger and premenopausal compared with ER+ cases, and were more likely than ER+ cases to have grade 3 cancer. ER and PR status was very similar across sites (ER+PR+: 64%, 60%, and 61%, ER+PR−: 9%, 10%, and 11% ERPR+: 5%, 8%, and 4% and ERPR− 22%, 21%, and 24% for Ontario, Australia, and California, respectively). Compared with controls, cases were more likely to be non-white and to have a family history of breast cancer, partly reflecting enrollment criteria for cases that favoured racial minorities and those with family history. Cases regardless of hormone status had a higher rate of nulliparity and were less likely to breastfeed than controls, reflecting differences in known breast cancer risk factors.
Table 1

Demographic and tumour characteristics by ER/PR status, Breast Cancer Family Registry

 ControlsN=2997N (%)ER+PR+N=2486N (%)ER+PR−N=397N (%)ER−PR+N=208N (%)ER−PR−N=920N (%)
Age
Age (mean±s.d.)
47.6±10.3
47.1±9.3
48.6±9.8
43.8±8.0
44.5±9.8
Race/Ethnicity
Non-Hispanic White2487 (86)1542 (62)222 (56)158 (76)506 (55)
African American96 (3)221 (9)45 (11)16 (8)131 (14)
Hispanic72 (2)229 (9)46 (11)7 (3)113 (12)
Asian165 (6)445 (18)79 (20)23 (11)149 (16)
Other
82 (3)
35 (1)
5 (1)
4 (2)
14 (2)
First-degree family history of breast cancer
No2732 (91)1761 (71)291 (73)161 (78)673 (73)
Yes
263 (9)
714 (29)
106 (27)
45 (22)
244 (27)
Menopausal status
Premenopausal1566 (55)1431 (60)172 (46)149 (76)574 (65)
Postmenopausal
1262 (45)
951 (40)
205 (54)
47 (24)
310 (35)
Education
<High school908 (30)710 (29)114 (29)56 (27)289 (32)
High school or more
2082 (70)
1740 (71)
275 (71)
150 (73)
602 (68)
Oral contraceptive (OC) use
Never646 (22)648 (27)124 (32)49 (24)198 (23)
⩽5 years1117 (37)948 (39)129 (34)71 (34)328 (37)
>5 years
1216 (41)
847 (35)
131 (34)
86 (42)
353 (40)
Year of first OC use
Never646 (22)648 (27)124 (32)49 (24)198 (23)
Before 19751435 (48)1165 (48)167 (43)97 (47)370 (42)
1975 or later
898 (30)
630 (26)
93 (24)
60 (29)
310 (35)
Time of last OC use
Never user646 (24)648 (30)124 (36)49 (27)198 (26)
⩾10 years ago489 (18)340 (15)42 (12)42 (23)152 (20)
>10, ⩽20 years ago704 (26)613 (28)80 (23)52 (29)199 (27)
>20 years ago
913 (33)
604 (27)
98 (28)
39 (21)
202 (27)
Menopausal hormone therapy use
Never2081 (70)1756 (74)264 (70)175 (88)699 (80)
Former246 (8)199 (8)37 (10)9 (5)59 (7)
Current
663 (22)
424 (18)
74 (20)
16 (8)
111 (13)
Age at menarche (years)
⩽11598 (20)528 (22)64 (16)43 (20)183 (21)
12711 (24)590 (24)100 (26)44 (21)215 (24)
⩾13
1670 (56)
1317 (54)
225 (58)
125 (59)
482 (55)
Parity (number of live births)
Nulliparous531 (18)565 (23)95 (24)51 (25)191 (21)
1–21334 (45)1015 (41)166 (42)71 (34)391 (42)
⩾3
1132 (38)
906 (36)
136 (34)
86 (41)
338 (37)
Mean age at first birth
Mean age at first birth
24.8±5.1
25.1±5.3
25.0±5.3
24.7±5.0
24.6±5.5
Breastfeeding duration (months)
Never1203 (40)1105 (45)194 (49)95 (46)448 (50)
<12991 (33)764 (31)113 (29)51 (25)267 (30)
⩾12
803 (27)
595 (24)
86 (22)
60 (29)
187 (21)
Parity and breastfeeding (BF)
Nulliparous531 (15)565 (23)95 (24)51 (25)191 (21)
1–2 live births, never BF448 (15)340 (14)61 (16)31 (15)157 (17)
⩾3 live births, never BF224 (7)200 (8)38 (10)13 (6)100 (11)
1–2 live births, ever BF886 (30)663 (27)103(26)39 (19)201 (25)
⩾3 live births, ever BF
908 (30)
696 (28)
96 (24)
72 (35)
221 (25)
Mean BMI (kg m−2)
Mean BMI (kg m−2)
25.9±5.5
26.0±5.5
26.0±5.5
24.7±5.1
26.6±5.7
Tumour grade
1, 2NA1546 (74)220 (67)60 (39)154 (20)
3NA554 (26)109 (33)93 (61)628 (80)

Abbreviations: BMI=body mass index; ER=oestrogen receptor; NA=Not Applicable; PR=progesterone receptor.

Table 2 presents the multivariate-adjusted ORs for each breast cancer subtype, categorised as ER+PR+, ER+PR−, ERPR+, or ERPR−, compared with the control group, and also includes the findings for parity and breastfeeding from case-only analyses comparing ERPR− cases with ER+PR+ cases.
Table 2

Association between parity and breastfeeding, and breast cancer classified by hormone receptor status and menopausal status, Breast Cancer Family Registry

 ER+PR+a N=2174OR (95% CI)ER+PR−a N=341OR (95% CI)ER−PR+a N=179OR (95% CI)ER−PR−a N=791OR (95% CI)ER−PR− vs ER+PR+OR (95% CI)
Parity (number of live births)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
1–20.80 (0.65–0.99)0.93 (0.64–1.35)1.20 (0.71–2.02)1.33 (1.00–1.76)1.62 (1.24–2.13)
⩾3
0.93 (0.73–1.17)
0.97 (0.64–1.49)
1.50 (0.85–2.65)
1.59 (1.15–2.18)
1.66 (1.23–2.25)
Breastfeeding duration (months)
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
<121.04 (0.87–1.23)0.84 (0.61–1.16)0.66 (0.41–1.05)0.72 (0.57–0.91)0.70 (0.56–0.88)
⩾12
0.80 (0.66–0.98)
0.69 (0.48–0.99)
0.57 (0.35–0.94)
0.52 (0.40–0.68)
0.64 (0.50–0.84)
Parity and breastfeeding (BF)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
1–2 live births, never BF0.80 (0.63–1.00)0.92 (0.62–1.38)1.49 (0.86–2.60)1.30 (0.96–1.75)1.59 (1.19–2.13)
⩾3 live births, never BF0.90 (0.68–1.19)0.95 (0.58–1.54)1.01 (0.49–2.07)1.57 (1.10–2.24)1.69 (1.20–2.38)
1–2 live births, ever BF0.78 (0.64–0.93)0.73 (0.52–1.05)0.63 (0.38–1.05)0.88 (0.68–1.14)1.12 (0.87–1.45)
⩾3 live births, ever BF
0.82 (0.67–0.99)
0.72 (0.50–1.04)
1.00 (0.64–1.56)
0.93 (0.71–1.22)
1.09 (0.84–1.42)
Premenopausal women
Parity (number of live births)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
1–20.86 (0.65–1.15)1.14 (0.78–2.54)1.27 (0.66–2.42)1.50 (1.04–2.17)1.73 (1.21–2.48)
⩾3
0.96 (0.69–1.33)
1.12 (0.57–2.21)
1.62 (0.81–3.26)
1.68 (1.10–2.56)
1.70 (1.14–2.55)
Breastfeeding duration (months)
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
<121.05 (0.81–1.35)0.86 (0.51–1.46)0.75 (0.42–1.35)0.74 (0.54–1.02)0.70 (0.51–0.96)
⩾12
0.76 (0.58–1.01)
0.88 (0.50–1.54)
0.68 (0.36–1.19)
0.61 (0.43–0.87)
0.80 (0.56–1.13)
Parity and breastfeeding (BF)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
1–2 live births, never BF0.80 (0.59–1.09)1.43 (0.76–2.67)1.62 (0.83–3.18)1.56 (1.06–2.32)1.94 (1.32–2.85)
⩾3 live births, never BF1.05 (0.70–1.58)1.08 (0.45–2.62)1.04 (0.41–2.62)1.49 (0.87–2.55)1.35 (0.89–2.29)
1–2 live births, ever BF0.84 (0.67–1.06)1.23 (0.75–2.01)0.79 (0.44–1.41)1.03 (0.75–1.40)1.21 (0.89–1.64)
⩾3 live births, ever BF
0.80 (0.63–1.01)
0.99 (0.58–1.68)
1.20 (0.72–2.00)
1.13 (0.81–1.56)
1.37 (0.99–1.89)
Postmenopausal women
Parity (number of live births)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
1–20.66 (0.47–0.93)0.54 (0.33–0.91)0.62 (0.25–1.54)0.84 (0.52–1.33)1.26 (0.81–1.97)
⩾3
0.84 (0.58–1.21)
0.77 (0.44–1.34)
0.82 (0.30–2.28)
1.11 (0.68–1.85)
1.30 (0.80–2.11)
Breastfeeding duration (months)
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
<121.08 (0.83–1.39)0.83 (0.54–1.26)0.56 (0.24–1.30)0.75 (0.53–1.07)0.70 (0.49–0.99)
⩾12
0.91 (0.67–1.27)
0.49 (0.29–0.83)
0.37 (0.13–1.03)
0.34 (0.21–0.54)
0.37 (0.23–0.58)
Parity and breastfeeding (BF)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
1–2 live births, never BF0.70 (0.48–1.00)0.58 (0.34–0.98)0.73 (0.29–1.85)0.80 (0.39–1.30)1.13 (0.72–1.81)
⩾3 live births, never BF0.75 (0.50–1.14)0.70 (0.38–1.28)0.61 (0.19–1.67)1.12 (0.66–1.92)1.46 (0.88–2.44)
1–2 live births, ever BF0.65 (0.46–0.91)0.38 (0.22–0.65)0.24 (0.08–0.72)0.57 (0.35–0.93)0.88 (0.55–1.41)
⩾3 live births, ever BF0.86 (0.62–1.20)0.51 (0.31–0.85)0.44 (0.17–1.10)0.54 (0.83–0.88)0.60 (0.38–0.97)

Abbreviations: BMI=body mass index; ER=oestrogen receptor; HT=hormone therapy; OC=oral contraceptive; PR=progesterone receptor.

Odds ratios (ORs) and 95% confidence interval (CI), adjusted for age, race/ethnicity, study site, OC use, HT use, BMI, menopausal status, age at menarche, age at first birth, and education. ORs in bold are statistically significant.

Compared with population-based controls (N=2683).

High parity (⩾3 live births) was associated with an increased risk of ERPRcancer (odds ratio (OR)=1.59, 95% CI 1.15–2.18, vs nulliparity). When stratified by menopausal status, high parity was associated with an increased risk in premenopausal women only (OR=1.68, 95% CI 1.10–2.56, ⩾3 live births, vs nulliparity). Breastfeeding was associated with a reduced risk of all breast cancer subtypes, but most strongly with ERPRcancer (OR=0.52, 95% CI 0.40–0.68, ⩾12 months of breastfeeding vs never), with even greater risk reduction found in postmenopausal women (OR=0.34, 95% CI 0.21–0.54, ⩾12 months of breastfeeding vs never). When combined with breastfeeding behaviour, the increased risk of ERPRbreast cancer associated with high parity was only found in women who had children but did not breastfeed (OR=1.57, 95% CI 1.10–2.24, ⩾3 live births, no breastfeeding, vs nulliparity). Case-only comparisons (with ER+PR+ tumours as the referent) showed an increased risk of ERPRtumours for parity combined with a lack of breastfeeding (OR=1.59, 95% CI 1.19–2.13, 1−2 live births, no breastfeeding and OR=1.69, 95% CI 1.20–2.38, ⩾3 live births, no breastfeeding, vs nulliparity). These associations were not materially different by study site and the tests for statistical interaction by site were not significant (data not shown). Table 3 presents the multivariate-adjusted ORs for each breast cancer subtype, compared with the control group, for OC use and OC start date, and also includes the findings on OC use for the case-only comparisons comparing ERPR− cases with ER+PR+ cases.
Table 3

Association between oral contraceptive use and breast cancer classified by hormone receptor status and menopausal status, Breast Cancer Family Registry

 ER+PR+a N=2174OR (95% CI)ER+PR−a N=341OR (95% CI)ER−PR+a N=179OR (95% CI)ER−PR−a N=791OR (95% CI)ER−PR− vs ER+PR+OR (95% CI)
OC use
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
⩽5 years0.97 (0.82–1.15)0.73 (0.54–0.99)0.67 (0.44–1.04)1.16 (0.92–1.47)1.18 (0.94–1.49)
>5 years
0.83 (0.69–0.98)
0.74 (0.55–1.01)
0.79 (0.52–1.20)
1.13 (0.89–1.44)
1.35 (1.07–1.70)
Year of first OC use
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
Before 19751.06 (0.91–1.25)0.80 (0.59–1.07)1.12 (0.73–1.73)1.32 (1.04–1.67)1.28 (1.03–1.60)
1975 or later
0.59 (0.48–0.73)
0.52 (0.36–0.76)
0.34 (0.21–0.56)
0.82 (0.63–1.08)
1.36 (1.06–1.75)
OC use (premenopausal)
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
⩽5 years0.97 (0.76–1.22)0.65 (0.41–1.05)0.62 (0.37–1.04)1.00 (0.73–1.38)1.05 (0.78–1.41)
>5 years
0.75 (0.59–0.94)
0.83 (0.52–1.31)
0.67 (0.41–1.11)
0.98 (0.72–1.33)
1.31 (0.97–1.77)
OC use (postmenopausal)
Never1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
⩽5 years0.89 (0.69–1.14)0.77 (0.51–1.15)0.58 (0.25–1.32)1.38 (0.95–1.99)1.50 (1.05–2.15)
>5 years0.89 (0.68–1.16)0.63 (0.41–0.98)0.76 (0.35–1.67)1.23 (0.83–1.81)1.36 (0.96–1.98)

Abbreviations: BMI=body mass index; ER=oestrogen receptor; HT=hormone therapy; OC=oral contraceptive; PR=progesterone receptor.

Odds ratios (ORs) and 95% confidence interval (CI) adjusted for age, race/ethnicity, study site, parity, breastfeeding, HT use, BMI, menopausal status, age at menarche, age at first birth, and education. ORs in bold are statistically significant.

Compared with population-based controls (N=2683); Premenopausal refers to cases diagnosed premenopausally, postmenopausal refers to cases diagnosed postmenopausally. All OC use occurred before menopause.

Oral contraceptive use was not associated with ERPRbreast cancer (OR=1.13, 95% CI 0.89–1.44 for use >5 years vs never). However, first OC use before 1975 compared with never use was positively associated with ERPRbreast cancer (OR=1.32, 95% CI 1.04–1.67), but not with hormone receptor-positive cancers. Use in 1975 or later was not associated with ERPRcancer. Oral contraceptive use was inversely associated with ER+PR+, ER+PR−, and ERPR+ breast cancer, with OR estimates statistically significant for ER+PR+ cancer (OC use >5 years vs none: OR=0.83, 95% CI=0.69–0.98). Inverse associations with hormone receptor-positive subtypes were stronger when OC use began in 1975 or later (OR=0.59, 95% CI 0.48–0.73, ER+PR+ OR=0.52, 95% CI, 0.36–0.76, ER+PR−, OR=0.34, 95% CI, 0.21–0.56, ERPR+). Findings did not differ for cancer diagnosed premenopausally or postmenopausally. There was a stronger association between OC use and ERPRcancer compared with ER+PR+ cancer (OR=1.35, 95% CI=1.07–1.70, OC use >5 years vs none). Case–case differences also existed for OC use pre- or post-1975, with statistically significant associations for ERPRcancer compared with ER+PR+ cancer.

Differences by race/ethnicity

African-American women (OR=1.71, 95% CI 1.22–2.40) and Hispanic women (OR=1.43, 95% CI 1.02–2.00) were more likely to be ERPR− than ER+PR+, compared with non-Hispanic White women. We found that the trend for the combined parity–breastfeeding measure held across race/ethnicities, with our findings supporting higher associations for ERPRcancer among women who did not breastfeed than among women who did, for all races/ethnicities examined (non-Hispanic Whites, African Americans, Hispanics, and Asians) (Figure 1).
Figure 1

Comparison of odds ratios by race/ethnicity for breastfeeding and parity, Breast Cancer Family Registry, ER−PR− cases

Differences by molecular subtype

Table 4 presents findings by molecular subtype. Three or more live births were associated with an increased risk of HER2+ and triple-negative breast cancer (OR=2.88, 95% CI 0.98–8.51, for HER2 vs Luminal A cancer; OR=2.82, 95% CI 1.37–5.83, for triple-negative vs Luminal A cancer), whereas breastfeeding was inversely associated with triple-negative cancer (OR=0.49, 95% CI 0.29–0.82, <12 months of breastfeeding vs none; OR=0.57, 95% CI 0.31–1.04, ⩾12 months of breastfeeding vs none). Parous women who did not breastfeed were more likely to have HER2+ (OR=3.32, 95% CI 1.26–8.73, HER2+ vs Luminal A, for parous, no breastfeeding) or triple-negative cancer (OR=2.33, 95% CI 1.22–4.45, triple negative vs Luminal A, for parous, no breastfeeding) compared with nulliparous women. Parous women who breastfed had no increased risk of triple-negative cancer (OR=1.22, 95% CI 0.67–2.22, vs Luminal A). Oral contraceptive use of >5 years, compared with never use, was positively associated with triple-negative cancer (OR=1.63, 95% CI 0.97–2.76), as was OC use that began in 1975 or later (OR=2.02, 95% CI 1.11–3.68).
Table 4

Association among oral contraceptive use, parity and breastfeeding and breast cancer classified by molecular status, Breast Cancer Family Registry (compared with Luminal A cases, N=468)

 Luminal B N=118OR (95% CI)HER2+ N=67OR (95% CI)Triple negative N=139OR (95% CI)
OC use
Never1.0 (ref)1.0 (ref)1.0 (ref)
⩽5 years0.82 (0.48–1.41)1.30 (0.64–2.62)1.19 (0.69–2.04)
>5 years
0.83 (0.48–1.43)
1.32 (0.65–2.67)
1.63 (0.97–2.76)
Timing of first OC
Never1.0 (ref)1.0 (ref)1.0 (ref)
Before 19750.94 (0.54–1.63)1.10 (0.53–2.26)1.11 (0.65–1.89)
1975 or later
0.73 (0.40–1.33)
1.65 (0.75–3.60)
2.02 (1.11–3.68)
Parity (number of live births)
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)
1–21.43 (0.72–2.85)3.39 (1.31–9.31)2.16 (1.10–4.21)
⩾3
1.32 (0.61–2.88)
2.88 (0.98–8.51)
2.82 (1.37–5.83)
Breastfeeding duration (months)
Never1.0 (ref)1.0 (ref)1.0 (ref)
<120.77 (0.43–1.39)0.70 (0.36–1.39)0.49 (0.29–0.82)
⩾12
1.10 (0.58–2.11)
0.77 (0.35–1.69)
0.57 (0.31–1.04)
Breastfeeding and parity
Nulliparous1.0 (ref)1.0 (ref)1.0 (ref)
Parous, never breastfed1.38 (0.71–2.71)3.32 (1.26–8.73)2.33 (1.22–4.45)
Parous, ever breastfed1.22 (0.69–2.18)2.40 (0.98–5.5.86)1.22 (0.67–2.22)

Abbreviation: OC=oral contraceptive. Luminal A is defined as ER and/or PR+, HER2− Luminal B is defined as ER and/or PR+, HER2+ HER2+ is defined as ER−, PR−, HER2+ Triple negative is defined as ER−, PR−, HER2−.

Odds ratios (OR) and 95% confidence interval (CI) adjusted for age, race, study site, and menopausal status. OC findings adjusted for breastfeeding and parity; parity findings adjusted for OC use and breastfeeding; breastfeeding findings adjusted for OC use and parity, combined parity–breastfeeding findings adjusted for OC use.

Bold indicates P<0.05.

Discussion

Our study sample was enriched with women at higher than population risk for breast cancer (due to oversampling of cases with early-onset breast cancer and/or a family history of breast cancer). We found that high parity was associated with an increased risk of ERPRcancer, compared with controls, and that breastfeeding for a total duration of ⩾12 months reduced this risk. Previous studies have found that duration of breastfeeding, coupled with parity levels, is an important factor for risk of triple-negative (ERPRHER2−) breast cancer (Bauer ; Kwan ; Redondo ). When we examined this combined variable for ERPRcancer, we also observed that multiparity, combined with no breastfeeding, was associated with an increased risk of ERPRcancer, and triple-negative cancer, but not with hormone receptor-positive cancer. We found that the association for ERPRcancer was similar across race/ethnicity. In other studies examining higher risk women, the inverse association with parity was also limited to ER+/PR+ cancers (Nichols ; Ma ). However, in a study of very young women, aged ⩽35 years, ER status was not associated with parity (Largent ). While our analysis did not find an association between parity and reduced cancer risk for hormone receptor-positive breast cancer, we did find this to be true among postmenopausal women in our study for women with 1−2 births. We also found a positive association between parity and ERPRcancer, similar to the findings of Yang , in their case-only analysis, and reflecting similarities to findings among studies that examined triple-negative breast cancer (Millikan ; Phipps ). Our study confirms earlier findings that breastfeeding decreases the risk of breast cancer, regardless of hormone receptor status. A recent review supported that ER or PR expression was not differentially associated with breastfeeding (Althuis ), and most other studies have confirmed this finding for subtypes defined by ER/PR status (Ursin ; Ma , 2010a; Lord ; Sweeney ; Bao ) and subtypes defined by ER/PR/HER2 status (Ma ; Xing ; Gaudet ). Some studies have shown, as ours did, that the inverse association with breastfeeding is stronger for ER−, ERPR−, or triple-negative breast cancer (Largent ; Millikan ; Kwan ; Gaudet ). The Collaborative Group on Hormonal Risk Factors in Breast Cancer (2002) determined that breastfeeding is protective against breast cancer above and beyond the protection conferred by parity. Hypothesised potential protective mechanisms include the removal of oestrogens via breast fluid, excretion of carcinogenic agents through breast milk, delay in ovulation associated with breastfeeding, and induction of terminal differentiation of breast epithelial cells (Lipworth ). It has been shown that BRCA1 mutation carriers, who are typically diagnosed with ERPRcancer, were less likely to develop breast cancer if they breastfed for at least 1 year, compared with BRCA1 mutation carriers who did not breastfeed; there was no association with breastfeeding among BRCA2 mutation carriers, who usually have ER+ tumours (Jernstrom ). Overall, OC use greater than 5 years was associated with a reduced risk of hormone receptor-positive breast cancer, and was not associated with ERPRcancer. Earlier published studies reported positive associations between ERPRbreast cancer and OC use (reviewed in Althuis ), whereas most recent studies, including ours, have found no overall association between ERPRbreast cancer and OC use (Ma ; Bao ), although some studies have reached different conclusions (Rosenberg ). We found that OC use in 1975 or later was inversely associated with ER+PR+ breast cancer, and a positive association between OC use and ERPRbreast cancer was limited to women who initiated the use before 1975. Year of initiation of OC has been used previously (Collaborative Group on Hormonal Factors in Breast Cancer, 1996; Grabrick ; Kahlenborn ), but has not generally been examined in previous research on OC use and breast cancer risk by hormone receptor status. Data on OC use and breast cancer risk in BRCA1 mutation carriers, including some from our own study sample (Milne ; Haile ; Iodice ), have demonstrated no increased risk with OC use initiated after 1974, and examination of OC use among women with a family history of breast cancer found an increased risk of breast cancer only among women who began OC use before 1975 (Grabrick ). In our study, findings were similar for any hormone-positive (ER+ and/or PR+) subtype, and only different for the ERPR− type, indicating that any aetiology related to OC use may be through both oestrogen and progesterone-related mechanisms. It is unclear why OCs used before 1975 would be more strongly associated with ERPRcancer. Studies of synthetic progestins used in OCs have generally found that the proliferative actions of progestins used in OCs are mediated through the ER (Jeng ; Jordan, 1993), which does not explain why ERbreast cancer is more likely to be affected, unless the ER is effectively ‘turned off' by such proliferation. Typical oestrogen doses used in the 1960s were more than double the doses used in the 1980s, and progestin doses were also higher and included different types of progestins than current OCs (Grabrick ).

Methodologic considerations

Distributions of parity and other risk factors for our sample where tumour characteristics were available and the entire case sample was similar (data not shown). Breast Cancer Family Registry pathologists used common laboratory procedures and conducted a centralised pathology view to categorise the majority of cases. A recent study has demonstrated that cancer registry-provided data may undercount the rarer ER/PR combinations, such as ERPR+ and ER+PRtumours, and that centralised pathology review should be considered as a gold standard when classifying tumours by hormone receptor status (Ma ). For the analysis of molecular subtypes, the population differed from the overall study sample in that it comprised mostly racial/ethnic minority cases from Northern California and Ontario, as few non-Hispanic white families were enrolled in the BCFR after 2000 when HER2 data became available in the cancer registries. Due to these limitations, we conducted a case-only analysis and acknowledge that our findings are preliminary, although they are in agreement with those of other studies. In the BCFR, differences have been observed between population controls and sister controls in some risk factors that are possibly associated with participation in research (Milne ). Specifically, our population-based controls are more likely to have been highly educated, and have fewer births and higher average age at first birth, than those sister controls. The possibility of recall bias exists because we relied on participants' recalls of their exposures. However, the purpose of this analysis was to determine whether risk factor associations differed by subtype, using controls as a common comparison group. Because it is unlikely that cases report exposures differently based on their ER, PR, or HER2 status, it is unlikely that differences across tumour subtypes can be explained by recall bias.

Summary

Overall, we found that multiparity is associated with an increased risk of ERPRcancer, but this risk was reduced by breastfeeding, such that multiparous women with a history of breastfeeding were no longer at increased risk. In the United States, initiation of breastfeeding has increased steadily since the 1970s and the average duration of breastfeeding is also increasing (U.S. Department of Health and Human Services, 2011). Recent trends examining SEER incidence data suggest that rates of ERPRbreast cancer are decreasing and will likely continue to decrease in the coming years (Anderson ). Despite these trends, however, there remain large differences in both ERPRbreast cancer incidence and breast feeding prevalences across racial and ethnic groups, suggesting that increasing breast feeding in all women is essential to breast cancer prevention.
  55 in total

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2.  Oral contraceptive use and estrogen/progesterone receptor-negative breast cancer among African American women.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-07-20       Impact factor: 4.254

3.  Incidence of breast cancer in the United States: current and future trends.

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5.  Risk factors by molecular subtypes of breast cancer across a population-based study of women 56 years or younger.

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10.  Hormone-related risk factors for breast cancer in women under age 50 years by estrogen and progesterone receptor status: results from a case-control and a case-case comparison.

Authors:  Huiyan Ma; Leslie Bernstein; Ronald K Ross; Giske Ursin
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

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2.  FOXA1 Protein Expression in ER+ and ER- Breast Cancer in Relation to Parity and Breastfeeding in Black and White Women.

Authors:  Ting-Yuan David Cheng; Song Yao; Angela R Omilian; Thaer Khoury; Matthew F Buas; Rochelle Payne-Ondracek; Sirinapa Sribenja; Wiam Bshara; Chi-Chen Hong; Elisa V Bandera; Warren Davis; Michael J Higgins; Christine B Ambrosone
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3.  FOXA1 hypermethylation: link between parity and ER-negative breast cancer in African American women?

Authors:  Allyson C Espinal; Matthew F Buas; Dan Wang; David Ting-Yuan Cheng; Lara Sucheston-Campbell; Qiang Hu; Li Yan; Rochelle Payne-Ondracek; Eduardo Cortes; Li Tang; Zhihong Gong; Gary Zirpoli; Thaer Khoury; Song Yao; Angela Omilian; Kitaw Demissie; Elisa V Bandera; Song Liu; Christine B Ambrosone; Michael J Higgins
Journal:  Breast Cancer Res Treat       Date:  2017-07-29       Impact factor: 4.872

4.  Breastfeeding, PAM50 tumor subtype, and breast cancer prognosis and survival.

Authors:  Marilyn L Kwan; Philip S Bernard; Candyce H Kroenke; Rachel E Factor; Laurel A Habel; Erin K Weltzien; Adrienne Castillo; Erica P Gunderson; Kaylynn S Maxfield; Inge J Stijleman; Bryan M Langholz; Charles P Quesenberry; Lawrence H Kushi; Carol Sweeney; Bette J Caan
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7.  Differential Patterns of Risk Factors for Early-Onset Breast Cancer by ER Status in African American Women.

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