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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Ann Surg Oncol. 2018 Oct 8;25(13):3858–3866. doi: 10.1245/s10434-018-6767-0

Influence of Age on the Clinical Outcome of Breast Cancer for Men and the Development of Second Primary Cancers

Patricia Cronin 1, Anya Romanoff 1, Emily C Zabor 2, Michelle Stempel 1, Anne Eaton 2, Lillian Smyth 3, Alice Ho 4, Monica Morrow 1, Mahmoud El-Tamer 1, Mary Gemignani 1
PMCID: PMC6234073  NIHMSID: NIHMS1509183  PMID: 30298320

Abstract

Background.

Low incidence of breast cancer in men (BCM) (<1 % of all breast cancers) has led to a paucity of outcome data. This study evaluated the impact of age on BCM outcomes.

Methods.

For this study, BCM patients treated between 2000 and 2011 were stratified by age (≤65 or >65 years). Kaplan-Meier methods were used to compare overall survival (OS) and breast cancer-specific survival (BCSS). Competing-risk methods analyzed time to second primary cancers (SPCs), with any-cause death treated as a competing risk.

Results.

The study identified 152 BCM patients with a median age of 64 years (range, 19–96 years). The median body mass index (BMI) was 28 kg/m2. Men age 65 years or younger (n = 78, 51 %) were more overweight/obese than men older than 65 years (n = 74, 49 %) (89 % vs 74 %, respectively; P = 0.008). Both groups had similar nodal metastases rates (P = 0.4), estrogen receptor positivity (P = 1), and human epidermal growth factor receptor 2 (HER2)neu overexpression (P = 0.6). Men 65 years of age or younger were more likely to receive chemotherapy (P = 0.002). The median follow-up period was 5.8 years (range, 0.1–14.4 years). The 5-year OS was 86 % (95 % confidence interval [CI], 80–93 %), whereas the 5-year BCSS was 95 % (95 % CI, 91–99 %). The BCM patients 65 years of age and younger had better OS (P = 0.003) but not BCSS (P = 0.8). The 5-year cumulative incidence of SPC was 8.4 % (95 % CI, 3.4–13.4 %). The prior SPC rate was higher for men older than 65 years (n = 20, 31 %) than for those age 65 years or younger (n = 7, 11 %) (P = 0.008). This did not account for differences in life years at risk. No difference was observed in SPC cumulative incidence stratified by age (P = 0.3).

Conclusions.

Men 65 years of age or younger received more chemotherapy and had improved OS, but not BCSS compared with men older than 65 years. For all BCM, SPC is a risk, and appropriate screening may be warranted.


Breast cancer in men (BCM) accounts for approximately 1 % of all breast cancer cases1 and less than 1 % of all malignancies in men.2 This low incidence has led to a paucity of data with respect to the underlying etiology, management, and outcomes in BCM. There are no randomized trials of BCM, and men are underrepresented in breast cancer research overall.35 Although BCM more often presents with lymph node involvement, men’s stage-matched breast cancer-specific survival (BCSS) is similar to or even more favorable than that of women.68

Despite changes in the management of BCM, outcomes have not improved.3 Compared with women, the overall incidence of breast cancer among men is increasing, with an approximate 26 % increase in incidence during the last three decades.9

The influence of age on tumor biology, management, and outcomes in women with breast cancer has long been explored.10 Findings have shown that young age is associated with more aggressive tumor types,11 as well as higher local recurrence (LR) rates and lower survival compared with those for older women.1216 Such data regarding age-related differences in women with breast cancer have led to an evolution in treatment guidelines for older patients.1719 The interplay between age, hormone receptors, and estrogen levels in women make it difficult to apply female age-related differences in tumor biology and outcomes to men.

Second primary cancers (SPCs) after breast cancer in women have been extensively studied.2022 Efforts have been made to investigate this phenomenon in BCM. One early study23 noted a 2.7 % contralateral breast cancer (CBC) rate and that 10.6 % of men went on to experience the development of an SPC. This resulted in the cause of death in 9 % of all subsequent deaths. Further studies have also reported excess SPC risk after BCM.2426

This study examined the relationship between age and BCM with respect to presentation, management, and clinical outcomes as well as other clinicopathologic and patient-related factors. The occurrence of SPC may be influenced by age and could have important implications for cancer etiology and preventive screening strategies. This study also investigated the impact of age on the rate and type of non-breast SPC and assessed its effect on survival.

METHODS

After Institutional Review Board approval, we identified all BCM patients who underwent surgical intervention at Memorial Sloan Kettering Cancer Center (MSK) from 1 January 2000 to 31 December 2011. The cohort was divided into two groups according to age at presentation: those 65 years of age or younger versus those older than 65 years.

Clinical, pathologic, and treatment variables were collected and compared between the two groups using Fisher’s exact test for categorical variables and the Wilcoxon rank sum test for continuous variables. Genetic testing information was collected when available. Gynecomastia was determined to be present if noted on mammography or clinical exam. Information about additional SPC was collected before and/or after breast cancer diagnosis. We excluded basal cell and squamous cell carcinoma diagnoses. We noted the history CBC or its subsequent development.

Analyses of overall survival (OS) and BCSS were limited to patients with invasive breast cancer (IBC). We measured OS and BCSS from date of surgery to last follow-up visit or death. The Kaplan-Meier (KM) method estimated OS and BCSS time. The log-rank test was used for between-group comparisons. We examined LRs and distant recurrences (DRs) using a competing-risks approach, in which LR, DR, and death from any cause were treated as competing events. In this study, LR was defined as ipsilateral breast cancer recurrence with or without ipsilateral axillary nodal recurrence or ipsilateral axillary nodal recurrence without ipsilateral breast cancer recurrence. Time to recurrence or death was estimated using cumulative incidence. Gray’s test was used for between-group comparisons. Competing-risk methods were used to analyze time to subsequent SPC, with death from any cause treated as a competing event. A P value lower than 0.05 was considered statistically significant. All statistical analyses were conducted using R software version 3.4.1 (R Core Development Team, Vienna, Austria) including the “survival” and “cmprsk” packages.

RESULTS

We identified 152 men who underwent surgical intervention at MSK during the study period. The median age at diagnosis was 64 years (range, 19–96 years). A palpable mass or nipple discharge was the chief complaint of 144 patients (95 %). The diagnosis of IBC was determined for 128 men (84 %), whereas 24 men (16 %) had pure ductal carcinoma in situ (DCIS). The IBC tumors had a median size of 1.8 cm (range, 0.04–5.3 cm), were estrogen receptor-positive (ER+) in 125 men (82 %), and were overexpressed HER2 in 7 men (5 %).

A family history of breast cancer was recorded for 75 men (49 %). Of the 48 patients who underwent genetic testing, 11 (23 %) carried a mutation (1 BRCA1, 10 BRCA2). The median body mass index (BMI) for the cohort was 28 kg/m2 (range, 19–49 kg/m2), and 71 patients (47 %) in this population had gynecomastia (Table 1).<T1>

TABLE 1.

Age and clinicopathologic characteristics: entire male breast cancer cohort

Total
(n= 152)
n (%)
Age ≤65 years
(n= 78)
n (%)
Age >65 years
(n = 74)
n (%)
P Value
Median age: years (range) 64 (19–96) 54 (19–65) 74 (65–96) NA
BMI category (kg/m2) 0.008
Normal (18.5–25) 28 (18) 9 (12) 19 (26)
Overweight (>25–30) 70 (46) 35 (45) 35 (47)
Obese (>30–40) 43 (28) 24 (31) 19 (26)
Severely obese (>40) 11 (7) 10 (13) 1 (1)
Period 0.9
2001–2004 49 (32) 26 (33) 23 (31)
2005–2008 53 (35) 26 (33) 27 (37)
2009–2011 50 (33) 26 (33) 24 (32)
Family history 0.4
Yes 75 (49) 41 (53) 34 (46)
No 76 (50) 36 (46) 40 (54)
Unknown 1 (1) 1 (1) 0 (0)
Gynecomastia 0.3
Yes 71 (47) 40 (51) 31 (42)
No 16 (11) 6 (8) 10 (14)
Unknown 65 (43) 32 (41) 33 (45)
Presentation 0.5
Physical findings 144 (95) 73 (94) 71 (96)
Mammography 3 (2) 1 (1) 2 (3)
Incidental 5 (3) 4 (5) 1 (1)
Median tumor size: mm (range) 18 (0.4–53) 20 (0.4–38) 17 (1–53) 0.5
Tumor type 0.5
IBC 128 (84) 64 (82) 64 (87)
DCIS 24 (16) 14 (18) 10 (14)
T stage 0.08
Tis, Tl, Tlmic 97 (64) 47 (60) 50 (68)
T2 50 (33) 30 (39) 20 (27)
T3 2 (1) 0 (0) 2 (3)
T4 2 (1) 0 (0) 2 (3)
TX 1 (1) 1 (1) 0 (0)
N stage 0.4
N0/1 124 (82) 63 (81) 61 (82)
N2 14 (9) 10 (13) 4 (5)
N3 7 (5) 3 (4) 4 (5)
NX 7 (5) 2 (3) 5 (7)
Nuclear grade 0.2
Low 11 (7) 8 (10) 3 (4)
Intermediate 79 (52) 37 (47) 42 (57)
High 38 (25) 22 (28) 16 (22)
NA 24 (16) 11 (14) 13 (18)
Multicentric/focal 1
Yes 10 (7) 5 (6) 5 (7)
No 142 (93) 73 (94) 69 (93)
ER 1
Positive 125 (82) 62 (80) 63 (85)
Negative 3 (2) 2 (3) 1 (1)
Not performed 24 (16) 14 (18) 10 (14)
PR 0.5
Positive 106 (70) 51 (65) 55 (74)
Negative 21 (14) 12 (15) 9 (12)
Not performed 25 (16) 15 (19) 10 (14)
HER2 0.6
Positive 7 (5) 3 (4) 4 (5)
Negative 116 (76) 60 (77) 56 (76)
Not done 29 (19) 15 (19) 14 (19)
Nipple involvement 0.6
Yes 47 (31) 26 (33) 21 (28)
No 104 (68) 52 (67) 52 (70)
Unknown 1 (1) 0 (0) 1 (1)
Margin status 0.3
Negative 144 (95) 75 (96) 69 (93)
Positive/close 7 (5) 2 (3) 5 (7)
Unknown 1 (1) 1 (1) 0 (0)

NA, not applicable; BMI, body mass index; IBC, invasive breast cancer; DCIS, ductal carcinoma in situ; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2

Differences in Patient and Tumor Characteristics by Age

The patients were stratified into two groups by age: those 65 years of age or younger (n = 78, 51 %) versus those older than 65 years (n = 74, 49 %). The median BMI for those 65 years of age or younger was 29 kg/m2 (range, 21–49 kg/m2) and significantly higher than the median of 28 kg/m2(range, 19–41 kg/m2) for those older than 65 years (P = 0.007). Among those 65 years of age or younger, the proportion with a healthy weight (as indicated by a BMI of 18.5–24.9 kg/m2). was significantly lower than that for those older than 65 years (12 % vs 26 %; P = 008) (Table 1).

Differences in Breast Cancer Management by Age

The preoperative workup did not differ by age. Surgical management of the breast and the axilla was similar in both age groups. The patients 65 years of age or younger were more likely to receive chemotherapy (67 %, n = 43) than those older than 65 years (38 %, n = 24; P = 0.002). No difference in endocrine or radiation therapy by age group was observed (Table 2).<T2>

TABLE 2.

Preoperative, operative, and adjuvant management of entire male breast cancer cohort stratified by age

Total
(n =152)
n (%)
Age ≤65 years
(n = 78)
n (%)
Age >65 years
(n = 74)
n (%)
P Value
Mammogram 0.3
Abnormal 109(72) 55 (71) 54 (73)
Normal 12(8) 8(10) 4(5)
Not performed 31(20) 15(19) 16(22)
Ultrasound 1
Abnormal 83 (55) 41 (53) 42 (57)
Normal 8(5) 4(5) 4(5)
Not performed 61 (40) 33(42) 28 (38)
MRI 1
Performed 3(2) 2(3) 1(1)
Biopsy 0.8
Core 60 (40) 30 (39) 30(41)
Excision 65 (43) 35 (45) 30(41)
FNA 26(17) 12(15) 14(19)
Not performed 1(1) 1(1) 0(0)
Breast surgery 0.5
Lumpectomy 8(5) 3(4) 5(7)
Mastectomy 144 (95) 75(96) 69 (93)
Axillary surgery 1
SLNB alone 81 (53) 41 (53) 40(54)
SLNB and ALND 53 (35) 28 (36) 25 (34)
ALND alone 7(5) 4(5) 3(4)
No axillary surgery 11(7) 5(6) 6(8)
Chemotherapya 0.002
Yes 67 (52) 43 (67) 24 (38)
No 55(43) 19 (30) 36 (56)
Unknown 6(5) 2(3) 4(6)
Endocrine 0.9
Yes 105 (69) 52 (67) 53 (72)
No 38 (25) 20 (26) 18 (24)
Unknown 9(6) 6(8) 3(4)
Radiotherapy 0.8
Yes 24(16) 13(17) 11(15)
No 121 (80) 61 (78) 60(81)
Unknown 7(5) 4(5) 3(4)

MRI, magnetic resonance imaging; FNA, fine-needle aspiration; SLNB, sentinel lymph node biopsy; ALND, axillary lymph node dissection

a

Invasive breast cancers only

Differences in Recurrence Rates, BCSS, and OS

Outcomes were assessed among the 128 patients with IBC. The median follow-up period among survivors was 5.8 years (range, 0.1–14.4 years) in the IBC cohort. The 5-year OS rate was 86 % (95 % confidence interval [CI], 80–93 %), and the 5-year BCSS rate was 95 % (95 % CI, 91–99 %). The OS was significantly longer for the patients 65 years of age or younger (P = 0.003), but there was no difference in BCSS according to age (P = 0.8). The LR and DR rates showed no difference by age (Fig. 1).<F1>

FIG. 1.

FIG. 1

Cumulative incidence curves comparing (A) local recurrence and (B) distant recurrence by age, and Kaplan-Meier curves comparing (C) breast cancer-specific survival and (D) overall survival by age.

SPC

The study identified SPC in 41 men, with 27 men presenting before and 14 after diagnosis (Table 3).<T3> The most common site for SPC after breast cancer was the prostate (n = 6). The cumulative incidence of subsequent SPC at 5 years was 8.4 % (95 % CI, 3.4–13.4 %) (Fig. 2A).<F2> A history of CBC was noted for two men (1.3 %), and subsequent CBC developed in three men. The patients were stratified by age 65 years or younger (n = 64, 50 %) versus age older than 65 years (n = 64, 50 %). The rate of prior SPC was significantly higher for the patients older than 65 years (n = 20, 31 %) than for those age 65 years or younger (n = 7, 11 %) (P = 0.008), although this analysis did not account for the difference in life years at risk. The cumulative incidence of all SPCs after the diagnosis of breast cancer did not differ by age group (P = 0.3) (Fig. 2B).

TABLE 3.

Breakdown of Organ Site of Prior and Subsequent Second Primary Cancers in the Entire Population of Male Breast Cancers (n=128)

Total SPC
(n=41)
n
SPC before BCM
(n = 27)
n (%)
SPC after BCM
(n = 14)
n
Prostate 16 10(7.8) 6
Bladder 6 4(3.1) 2
Melanoma 5 4(3.1) 1
Esophageal 3 1 (0.8) 2
Hodgkin’s lymphoma 2 2(1.6) 0
Lung 1 0 1
Renal 2 1 (0.8) 1
Acute myeloid leukemia 1 0 1
Other 5 5 (3.9) -
Breast 5 2(1.6) 3

SPC, second primary cancer; BCM, breast cancer in men

AQ1: “rather than among those 66 years of age or older (1.17; 95 % CI, 0.94–1.45; P = 0.15)” correct?

AQ2: “Until then”? Until when? Please clarify.

AQ3: Please update ref 30 with vol and pg nos.

AQ4: Please provide access date in ref 31.

FIG. 2.

FIG. 2.

A Competing-risk curves of second primary cancer development, with death as a competing risk. B Cumulative incidence of secondary primary cancer after male breast cancer diagnosis stratified by age ≤65 and >65 years. Boxed and unboxed labels represent cumulative incidence of death and second primary cancer rates, respectively, at 5 and 10 years.

DISCUSSION

The interplay between age and breast cancer in women has been extensively researched. Age-related hormonal factors and variable genetic mutations in women with breast cancer make it difficult to extrapolate age-related influences among women to those seen in men. The current study aimed to examine the relationship between age and the presentation, management, and clinical outcomes of BCM. In this study population, the median age at presentation was 64 years, similar to that in other published BCM studies.2729

An international collaborative study between the European Organization for Research and Treatment of Cancer (EORTC), the Translational Breast Cancer Research Consortium (TBCRC), the North American Breast Cancer Group (NABCG), and the Breast International Group (BIG) recently published a characterization of BCM using a cohort of 1483 pooled cases.30 Their median age was 68.4 years. The younger median age at presentation in our study likely reflects patterns of referral to a tertiary specialized cancer center, but still is older than the median age at presentation (62 years) among women demonstrated in the Surveillance, Epidemiology, and End Results (SEER) database.31

Our population included IBC (84 %) and DCIS (16 %), and the pathologic subtypes did not differ with age. Frequently, DCIS has been excluded in the published series of BCM.27,30 La Verde et al.29 reported a DCIS rate of 6 % in their series, but the pathologic subtype was not defined for 27 % of their population. Previously reported SEER data also reported T0/T1 tumors but did not give any further breakdown of DCIS-only cases.32 We had predominantly early BCM, with 97 % of the patients having T1 or T2 tumors. Only four patients presented with T3 or T4 tumors, and they all were older than 65 years. Our nodal stage, tumor grade, and ER/progesterone receptor (PR) status were similar to those of previously published series27,29,30 and did not differ by age.

Men 65 years of age or younger had a significantly better OS than those older than 65 years. The same age-related difference was not seen in BCSS. This was similarly demonstrated in the EORTC 10085 study, with clear separation of the Kaplan-Meier OS curves for those 66 to 75 years of age and those older than 75 years from those 65 years or age or younger, whereas the Kaplan-Meier curves for breast cancer mortality by age demonstrated no differences.30 Leone et al.32 performed multivariate analysis for OS and found a hazard ratio of 2.97 (95 % CI, 2.06–4.27; P < 0.0001) between men older than 50 years and those older than 64 years.

The relationship between obesity and BCM has been previously established.3338 Brinton et al.38 reported results of an analysis based on individual participant data from 11 case-control studies and 10 cohort studies comprising 2405 BCM and 52013 male controls. Based on these data, the odds ratio (OR) for BCM associated with adult BMI at presentation (healthy weight [BMI, 18.5–24.9 kg/m2] vs obesity [BMI, ≥30 kg/m2]) was 1.35 (95 % CI, 1.12–1.62). Our study found that the mean BMI was higher in our younger cohort (age ≤65 years) and that the proportion of those 65 years or younger at a healthy weight (BMI, 18.5–24.9 kg/m2) was significantly lower than that of those older than 65 years. Brinton et al.38 stratified their population by age using a median age of 66 years and observed BMI as a risk factor for BCM.

The strongest effect of BMI (highest vs lowest tertile) seemed to be among those younger than 66 years (OR, 1.44; 95 % CI, 1.17–1.76; P < 0.001 rather than among those 66 years of age or older (1.17; 95 % CI, 0.94–1.45; P = 0.15).38<AQ1> Studies have shown obesity to be associated with an increased risk of breast cancer in women, and the risk is thought to be due in part to the peripheral conversion of androgens to estrogens.3234 In men, obesity is associated with high estrogen levels as well as low testosterone and sex hormone-binding globulin levels,39,40 leading to greater estrogen bioavailability.

In most cases, BCM is hormone sensitive. In our study group 82 % of the cancers were ER-positive, with 80 % of the men with IBC prescribed adjuvant endocrine therapy. This was similar to the use of endocrine therapy reported from the EORTC 10085/TBCRC/BIG/NABCG international study (76.8 %).30 We did not find that the use of endocrine therapy differed between those 65 years of age or younger and those older than 65 years.

The use of adjuvant chemotherapy in our study (52 %) was much higher than in the EORTC 10085 study (29.8 %).30 This may be a reflection of differing practice and selection bias in a tertiary referral cancer center. We did find a significant difference in receipt of chemotherapy between the two age cohorts (67 % of those ≤65 years of age with IBC received chemotherapy vs only 38 % of those >65 years of age). This likely was due to the associated comorbidities of increasing age, patient performance status, and suitability for cytotoxic chemotherapy.

Due to the high rate of hormone sensitivity in BCM, most patients would have the option of endocrine therapy, which has fewer side effects. A recent study of Oncotype DX (Genomic Health, Redwood City, CA, USA) in BCM demonstrated differences in recurrence score (RS) distributions compared with breast cancer. The study showed that women with breast cancer had a greater proportion of higher RS (>31). However, and similar to women with lower RS results, men had low mortality from ER-positive breast cancer and should be spared the risks associated with overtreatment, particularly chemotherapy.41 Oncotype DX testing was used in the later years of our cohort but was available only for 13 patients. Therefore, most decisions about adjuvant chemotherapy were made without RS data. This was a limitation our study.

Published reports to date on SPC incidence and organ site after BCM have varied. Auvinen et al.26 found that overall SPC risk was not increased (standardized incidence ratio [SIR], 0.99; 95 % CI, 0.86–1.13) in a cohort of 1788 men from the SEER database during the period 1973 to 1996. However, other investigators have reported an increased risk of SPC. A Taiwan national survey of 578 BCM cases recently reported a significantly higher observed risk for SPC (SIR, 2.17; 95 % CI,1.70–2.73) after a median follow-up period of 3.85 years.42 Additionally, data from 1926 BCM cases recruited from the California Cancer Registry from 1988 to 2003 also demonstrated a significantly higher risk of second cancer (SIR, 1.16; 95 % CI, 1.01–1.32).25 Of 3409 BCM patients pooled from 13 cancer registries, 12.5 % experienced an SPC, with an overall excess risk of 34 %.24

In our study, we found a cumulative incidence of non-breast SPC of 8.4 % at 5 years. The prostate was the most common SPC organ site. For 6 patients, prostate cancer developed after their diagnosis of breast cancer, and 10 patients (7.8 %) in our cohort of 128 had a prior diagnosis of an SPC.

The possible link between prostate cancer and BCM has been previously reported.4345 Current theories for breast and prostate cancer development incorporate hormonal, dietary, genetic, and other factors.46 Hemminki et al.,24 in the largest published series of BCM, also found an increased risk of prostate cancer (SIR, 1.61; 95 % CI, 1.34–1.93). This finding is supported by other series.23,47 We stratified our population by age (≤65 and >65 years) and did not find any difference in the cumulative incidence of SPC. Satram-Hoang et al.25 stratified their population to assess for an age effect for SPC risk (<60, 60–69, and ≥70 years). They found the highest SIRs for SPC in the youngest population, and the risk decreased with increasing age. This was true for the populations including and excluding CBCs. This finding is not surprising because an increased cancer risk would be expected among the youngest men with the longest life expectancy and increased lead time to further cancer development. Our population may have been too small for examination of this difference, and our median follow-up period of years may have been too short for detection of this effect. We did find a significantly higher rate of prior SPC among the men older than 65 years (31 %) than among those 65 years of age or younger (11 %; P = 0.008), likely due to a lead time effect in the older cohort.

CONCLUSIONS

Given the lack of prospective randomized studies and the limited involvement of men in clinical trials, much of what we know of BCM has resulted from retrospective analyses of similar data sets. Until then,<AQ2> physicians managing BCM should strive to treat their patients according to the standards of the best evidence currently available. The relationship between obesity and younger age at diagnosis needs further study given the worldwide epidemic of growing obesity rates. Men with breast cancer have a risk for SPCs, particularly those with prostate cancer. Appropriate screening should be considered. Genetic counseling and testing should continue to be offered to all men with breast cancer.

SYNOPSIS.

This study evaluated the impact of age on male breast cancer outcomes and found that men age 65 years or younger received more chemotherapy and had improved overall survival but not breast cancer-specific survival compared with men older than 65 years.

ACKNOWLEDGMENTS

The preparation of this manuscript was supported by NIH/NCI Cancer Center support grant no. P30 CA008748 to the Memorial Sloan Kettering Cancer Center.

Footnotes

CONFLICTS OF INTEREST Dr. Monica Morrow has received speaking honoraria from Genomic Health.

REFERENCES

  • 1.Giordano SH, Cohen DS, Buzdar AU, Perkins G, Hortobagyi GN. Breast carcinoma in men: a population-based study. Cancer. 2004;101:51–7. [DOI] [PubMed] [Google Scholar]
  • 2.Anderson WF, Jatoi I, Tse J, Rosenberg PS. Male breast cancer: a population-based comparison with female breast cancer. J Clin Oncol. 2010;28:232–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Goss PE, Reid C, Pintilie M, Lim R, Miller N. Male breast carcinoma: a review of 229 patients who presented to the Princess Margaret Hospital during 40 years: 1955–1996. Cancer. 1999;85:629–39. [DOI] [PubMed] [Google Scholar]
  • 4.Cutuli B, Lacroze M, Dilhuydy JM, et al. Male breast cancer: results of the treatments and prognostic factors in 397 cases. Eur J Cancer. 1995;31A:1960–4. [DOI] [PubMed] [Google Scholar]
  • 5.Guinee VF, Olsson H, Moller T, et al. The prognosis of breast cancer in males: a report of 335 cases. Cancer. 1993;71:154–61. [DOI] [PubMed] [Google Scholar]
  • 6.Kwong A, Chau WW, Mang OW, et al. Male breast cancer: a population-based comparison with female breast cancer in Hong Kong, Southern China: 1997–2006. Ann Surg Oncol. 2014;21:1246–53. [DOI] [PubMed] [Google Scholar]
  • 7.Foerster R, Foerster FG, Wulff V, et al. Matched-pair analysis of patients with female and male breast cancer: a comparative analysis. BMC Cancer. 2011;11:335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.El-Tamer MB, Komenaka IK, Troxel A, et al. Men with breast cancer have better disease-specific survival than women. Arch Surg. 2004;139:1079–82. [DOI] [PubMed] [Google Scholar]
  • 9.Speirs V, Shaaban AM. The rising incidence of male breast cancer. Breast Cancer Res Treat. 2009;115:429–30. [DOI] [PubMed] [Google Scholar]
  • 10.Narod SA. Breast cancer in young women. Nat Rev Clin Oncol. 2012;9:460–70. [DOI] [PubMed] [Google Scholar]
  • 11.Collins LC, Marotti JD, Gelber S, et al. Pathologic features and molecular phenotype by patient age in a large cohort of young women with breast cancer. Breast Cancer Res Treat. 2012;131:1061–6. [DOI] [PubMed] [Google Scholar]
  • 12.Anders CK, Hsu DS, Broadwater G, et al. Young age at diagnosis correlates with worse prognosis and defines a subset of breast cancers with shared patterns of gene expression. JClin Oncol. 2008;26:3324–30. [DOI] [PubMed] [Google Scholar]
  • 13.King TA. Selecting local therapy in the young breast cancer patient. J Surg Oncol. 2011;103:330–6. [DOI] [PubMed] [Google Scholar]
  • 14.van Nes JG, van de Velde CJ. The preferred treatment for young women with breast cancer: mastectomy versus breast conservation. Breast. 2006;15(Suppl 2):S3–10. [DOI] [PubMed] [Google Scholar]
  • 15.Pilewskie M, King TA. Age and molecular subtypes: impact on surgical decisions. J Surg Oncol. 2014;110:8–14. [DOI] [PubMed] [Google Scholar]
  • 16.Wang K, Ren Y, Li H, et al. Comparison of clinicopathological features and treatments between young (≤40 years) and Older (>40 years) female breast cancer patients in West China: a retrospective, epidemiological, multicenter, case-only study. PLoS One. 2016;11 :e0152312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Martelli G, Boracchi P, Ardoino I, et al. Axillary dissection versus no axillary dissection in older patients with T1N0 breast cancer: 15-year results of a randomized controlled trial. Ann Surg. 2012;256:920–4. [DOI] [PubMed] [Google Scholar]
  • 18.Rudenstam CM, Zahrieh D, Forbes JF, et al. Randomized trial comparing axillary clearance versus no axillary clearance in older patients with breast cancer: first results of International Breast Cancer Study Group Trial 10–93. J Clin Oncol. 2006;24:337–44. [DOI] [PubMed] [Google Scholar]
  • 19.Hughes KS, Schnaper LA, Berry D, et al. Lumpectomy plus tamoxifen with or without irradiation in women 70 years of age or older with early breast cancer. N Engl J Med. 2004;351:971–7. [DOI] [PubMed] [Google Scholar]
  • 20.Adami HO, Bergkvist L, Krusemo U, Persson I. Breast cancer as a risk factor for other primary malignant diseases: a nationwide cohort study. JNatl Cancer Inst. 1984;73:1049–55. [PubMed] [Google Scholar]
  • 21.Matesich SM, Shapiro CL. Second cancers after breast cancer treatment. Semin Oncol. 2003;30:740–8. [DOI] [PubMed] [Google Scholar]
  • 22.Obedian E, Fischer DB, Haffty BG. Second malignancies after treatment of early-stage breast cancer: lumpectomy and radiation therapy versus mastectomy. J Clin Oncol. 2000;18:2406–12. [DOI] [PubMed] [Google Scholar]
  • 23.Cutuli BF, Lacroze M, Dilhuydy JM, et al. Breast cancer in men: incidence and types of associated previous synchronous and metachronous cancers. Bull Cancer. 1992;79:689–96. [PubMed] [Google Scholar]
  • 24.Hemminki K, Scelo G, Boffetta P, et al. Second primary malignancies in patients with male breast cancer. Br J Cancer. 2005;92:1288–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Satram-Hoang S, Ziogas A, Anton-Culver H. Risk of second primary cancer in men with breast cancer. Breast Cancer Res. 2007;9:R10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Auvinen A, Curtis RE, Ron E. Risk of subsequent cancer following breast cancer in men. J Natl Cancer Inst. 2002;94:1330–2. [DOI] [PubMed] [Google Scholar]
  • 27.Cutuli B, Le-Nir CC, Serin D, et al. Male breast cancer: evolution of treatment and prognostic factors: analysis of 489 cases. Crit Rev Oncol Hematol. 2010;73:246–54. [DOI] [PubMed] [Google Scholar]
  • 28.Gomez-Raposo C, Zambrana Tevar F, Sereno Moyano M, Lopez Gomez M, Casado E. Male breast cancer. Cancer Treat Rev. 2010;36:451–7. [DOI] [PubMed] [Google Scholar]
  • 29.La Verde N, Collova E, Lonardi S, et al. Male breast cancer: clinical features and multimodal treatment in a retrospective survey analysis at Italian centers. Tumori. 2013;99:596–600. [DOI] [PubMed] [Google Scholar]
  • 30.Cardoso F, Bartlett JMS, Slaets L, et al. Characterization of male breast cancer: results of the EORTC 10085/TBCRC/BIG/NABCG International Male Breast Cancer Program. Ann Oncol. 2017<AQ3> [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Kosary CL, et al. (eds). SEER Cancer Statistics Review, 1975–2014. National Cancer Institute, Bethesda, MD: Retrieved xxxx at https://seer.cancer.gov/csr/1975_2014/, based on November 2016 SEER data submission, posted to the SEER web site April 2017.<AQ4> [Google Scholar]
  • 32.Leone JP, Zwenger AO, Iturbe J, et al. Prognostic factors in male breast cancer: a population-based study. Breast Cancer Res Treat. 2016;156:539–48. [DOI] [PubMed] [Google Scholar]
  • 33.Brinton LA, Richesson DA, Gierach GL, et al. Prospective evaluation of risk factors for male breast cancer. J Natl Cancer Inst. 2008;100:1477–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.D’Avanzo B, La Vecchia C. Risk factors for male breast cancer. Br J Cancer. 1995;71:1359–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ewertz M, Holmberg L, Tretli S, Pedersen BV, Kristensen A. Risk factors for male breast cancer: a case-control study from Scandinavia. Acta Oncol. 2001;40:467–71. [DOI] [PubMed] [Google Scholar]
  • 36.Hsing AW, McLaughlin JK, Cocco P, Co Chien HT, Fraumeni JF Jr. Risk factors for male breast cancer (United States). Cancer Causes Control. 1998;9:269–75. [DOI] [PubMed] [Google Scholar]
  • 37.Johnson KC, Pan S, Mao Y. Risk factors for male breast cancer in Canada, 1994–1998. Eur J Cancer Prev. 2002;11:253–63. [DOI] [PubMed] [Google Scholar]
  • 38.Brinton LA, Cook MB, McCormack V, et al. Anthropometric and hormonal risk factors for male breast cancer: male breast cancer pooling project results. J Natl Cancer Inst. 2014;106:djt465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Rohrmann S, Shiels MS, Lopez DS, et al. Body fatness and sex steroid hormone concentrations in US men: results from NHANES III. Cancer Causes Control. 2011;22:1141–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Travis RC, Key TJ, Allen NE, et al. Serum androgens and prostate cancer among 643 cases and 643 controls in the European Prospective Investigation into Cancer and Nutrition. Int J Cancer. 2007;121:1331–8. [DOI] [PubMed] [Google Scholar]
  • 41.Massarweh SA, Sledge GW, Miller DP, McCullough D, Petkov VI, Shak S. Molecular characterization and mortality from breast cancer in men. J Clin Oncol. 2018:JCO2017768861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Hung MH, Liu CJ, Teng CJ, et al. Risk of second non-breast primary cancer in male and female breast cancer patients: a population-based cohort study. PLoS One. 2016;11:e0148597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Leibowitz SB, Garber JE, Fox EA, et al. Male patients with diagnoses of both breast cancer and prostate cancer. Breast J. 2003;9:208–12. [DOI] [PubMed] [Google Scholar]
  • 44.Tajika M, Tuchiya T, Yasuda M, et al. A male case of synchronous double cancers of the breast and prostate. Intern Med. 1994;33:31–5. [DOI] [PubMed] [Google Scholar]
  • 45.Ozet A, Yavuz AA, Komurcu S, et al. Bilateral male breast cancer and prostate cancer: a case report. Jpn J Clin Oncol. 2000;30:188–90. [DOI] [PubMed] [Google Scholar]
  • 46.Lopez-Otin C, Diamandis EP. Breast and prostate cancer: an analysis of common epidemiological, genetic, and biochemical features. Endocr Rev. 1998;19:365–96. [DOI] [PubMed] [Google Scholar]
  • 47.Wernberg JA, Yap J, Murekeyisoni C, Mashtare T, Wilding GE, Kulkarni SA. Multiple primary tumors in men with breast cancer diagnoses: a SEER database review. J Surg Oncol. 2009;99:16–9. [DOI] [PubMed] [Google Scholar]

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