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. Author manuscript; available in PMC: 2019 Dec 15.
Published in final edited form as: Cancer. 2018 Oct 12;124(24):4676–4684. doi: 10.1002/cncr.31776

Differences in Molecular Features of Triple Negative Breast Cancers Based on Age at Diagnosis

H Evin Gulbahce 1, Philip S Bernard 1, Erin K Weltzien 2, Rachel E Factor 1, Lawrence H Kushi 2, Bette J Caan 2, Carol Sweeney 3
PMCID: PMC6294689  NIHMSID: NIHMS987740  PMID: 30311638

Abstract

BACKGROUND:

Although the proportion of triple negative breast cancers (TNBC) diagnosed among older women is low, the number of TNBC is substantial because of the high breast cancer incidence after age 65. The molecular features of TNBC in this age group have not been well-described.

METHODS:

We examined a population-based cohort of women with stage I-III TNBC diagnosed between the ages of 25–91 using the PAM50 gene expression subtyping assay. We assessed the concordance between the TNBC classification by immunohistochemistry and the gene expression classification by the PAM50, expression of individual genes, and five-year recurrence and breast cancer mortality in older (≥65) versus younger women (<50).

RESULTS:

Molecular subtype distribution in TNBC was significantly different based on age at diagnosis. TNBC was more likely to be classified as basal-like in women younger than 50 (sensitivity 0.91 (95% CI 0.77–0.97)) than in women 65 and older (0.72, (95% CI 0.48–0.87)); 35% of clinical TNBC in the latter group were HER2-enriched subtype by molecular classification. Older women with TNBC also had significantly higher expression for ERBB2 and a lower expression of all ten proliferation associated genes tested (p < 0.01). Risk of breast cancer death within five years was significantly higher in women with TNBC relative to women with hormone receptor positive cancers in all age groups.

CONCLUSIONS:

This study revealed differences in molecular subtypes among clinical TNBC based on patient age. A potentially targetable HER2-enriched group raises the possible need for intrinsic subtyping in older women with TNBC.

Keywords: Molecular Subtype, Triple Negative Breast

Precis:

Triple negative breast cancers among older have different molecular subtypes compared to younger women. Potentially targetable HER2-enriched subtype is more common among women over 65.

INTRODUCTION

The population of the United States is aging with about 20% (approximately 70 million) of the population expected to be over 65 years of age by 2030.1 The incidence of breast cancer increases with age, resulting in a high percentage of women with breast cancer being over the age of 65 years.2 Forty-five percent of all women diagnosed with breast cancers in the U.S. in 2014 were aged 65 years or older, and is projected to be half by the year 2030.3, 4 However, much of the understanding of breast cancer treatment is based on trials in which older women are underrepresented or excluded by design.4–7 Breast cancers among older women typically have a less aggressive biology based on a higher percentage of hormone receptor positive tumors or a higher proportion of luminal subtype, lower proliferation rate, and lower grade tumors compared to younger women with breast cancer.2, 4, 8, 9 Patterns of molecular gene expression and genetic mutations also differ between breast cancers diagnosed in younger versus older women.8, 10 These differences in breast tumor biology according to age may have implications for treatment and survival.2, 4, 11 Triple negative breast cancers (TNBC), lacking expression of estrogen and progesterone receptor (ER and PR) and the human epidermal growth factor receptor HER2/neu (HER2), have poor prognosis and present a particular treatment challenge since there are no targeted therapies available. The triple negative (TN) phenotype is a frequent feature of breast cancers among women aged 35 and younger, with about one-third of breast cancers in this age group being TN. Even though a smaller proportion of breast cancers diagnosed among older women are TN12, the number of TNBC in this age group is substantial because of the high incidence of breast cancer in older women.

TNBC based on clinically-determined estrogen, progesterone receptors, and HER2 protein expression and/or gene amplification is considered a reasonable surrogate for Basal-like gene expression subtype, but the correlation of TN phenotype and Basal-like subtype is not perfect, with an average positive predictive value of 70%.13, 14 Further, classification accuracy of clinical TN status for the Basal-like subtype of breast cancer may not be uniform across age groups.15

We examined molecular subtypes and gene expression in a population-based cohort of women with breast cancer using PAM50, an FDA-approved quantitative reverse transcriptase PCR (qRT-PCR) intrinsic subtyping tool that assays expression of 50 genes.13, 16 To our knowledge, no study has compared molecular subtypes and gene expression patterns of TNBC in older versus younger women. We described the classification accuracy of clinical TN status for the Basal-like molecular subtype of breast cancer for older ages at diagnosis compared to younger, and identified potential differences in the gene expression patterns of TNBC.

METHODS

Study Population

The study population consisted of women with breast cancer from Life After Cancer Epidemiology (LACE), and Pathways studies.17 LACE participants were women with early-stage (American Joint Committee on Cancer (AJCC) stage 1 with tumor size ≥1.0 cm, stage II, or stage IIIA) breast cancer, between 25–79 years of age at the time of diagnosis in 1996–2000, had completed chemo and/or radiation therapy at the time of entry into the cohort, and were within 39 months of diagnosis. The patients were required to be free of cancer and had no other cancer diagnosis within the previous five years. LACE study patient characteristics and study methods have been described elsewhere.18 The Pathways Study included women of 25–91 years of age who were diagnosed with invasive breast cancer from 2005–2013 (for this study only women diagnosed through 2008 were included) in Kaiser Permanente Northern California (KPNC) with no other prior history of cancer. Women enrolled in the Pathways study were enrolled within two months of diagnosis (meantime of 1.8 mo, maximum 7.2 mos). Details of the Pathways Study have been previously described.19 All participants provided informed consent approved by KPNC, and the University of Utah Institutional Review Boards (IRB). Patient and tumor characteristics at the time of diagnosis including age, AJCC disease stage, tumor size, lymph node status, histologic grade, hormone receptor status, and HER2 over expression/gene amplification of the primary tumors were obtained from medical records and tumor registries. Hormone receptors were determined following current guidelines at the time of diagnosis, from 1996 to 2013 and coded as ‘positive’ or ‘negative’. Patients with tumor size <1.0 cm, bilateral disease, and those who received neoadjuvant therapy were excluded from the PAM50 assay.

From a cohort of over 3,000, a stratified sample was selected for the PAM50 molecular subtyping study, including all HER2 + and TN cancers, and 18% of hormone-receptor positive, HER2 - patients. The cohort was followed for recurrence and survival through August, 2012. Patient outcomes were ascertained by self-report, cancer registry follow-up, and linkage to medical records.

Formalin fixed paraffin embedded (FFPE) tissue blocks, H&E stained slides, and pathology reports were obtained from the institutions where the primary surgery was performed. The proportion of subjects for whom tissue samples were not obtained was < 10% as described previously.17 One pathologist (R.E.F.) reviewed the H&E stained slides and circled representative tumor on the slide. One or two tissue punches were obtained for PAM50 assay.

Gene Expression Assay and Subtype Classification

Categorization as TN was based on clinical immunohistochemical (IHC) testing of ER and PR, and IHC and/or fluorescence in situ hybridization (FISH) testing for HER2. This information was gathered from medical records and the tumor registry. For molecular subtyping, tissue punches obtained from FFPE were deparaffinized and the tissue was digested for RNA extraction as described elsewhere.13 PAM50 testing was performed by qRT-PCR for 50 genes. No-template sample and reference DNA samples were used for negative and positive quality control respectively for each test and for five housekeeping genes.13 Laboratory personnel were provided only study identifying numbers for tracking the specimen and were blinded to clinical characteristics. Each batch of tissue sent for PAM50 assays included a mixture of different clinical pathological types of breast cancers. Algorithms were used to classify intrinsic subtypes of luminal A, luminal B, HER2-enriched, Basal-like, and normal-like as described elsewhere.16

Survival

Incident breast cancer metastasis, recurrence, or second primary breast cancer diagnosis during follow-up were ascertained by self-report and record linkage and were verified by medical record review. Cancer cause of death was determined from death certificates, supplemented with medical records if necessary. Outcomes for survival analysis were new breast cancer event, defined as a first recurrence/metastasis or new primary breast cancer (referred to as recurrence) and breast cancer death. The time scale for survival analysis was time since diagnosis, allowing for delayed entry into the cohort (i.e., left truncation) given enrollment of individuals into the cohort studies up to three years after diagnosis.

Statistical Analysis

Distributions of clinical and pathological characteristics among women with TN phenotypes were compared by age and compared with other phenotypes among the subcohort. We estimated percentage distributions across categories and tested for significance with Chi square tests. The analysis incorporated the original sampling weights and the stratified sampling design for unbiased estimation of population parameters and valid estimates of standard errors (with “svy” commands in Stata software, StataCorp).

We calculated sensitivity, specificity, and positive predictive value, assessing ability of clinically-determined TN to correctly classify PAM50 Basal-like subtype as the gold standard, within age categories. The prevalence of TN and Basal-like phenotype differ by race/ethnicity, and racial/ethnic minority populations have different age distributions. Therefore sensitivity and specificity were also calculated stratified by race/ethnicity.

We examined variation in several continuous variables including the Pearson correlation to the Basal-like centroid from the training set, proliferation score, relative expression of genes defining TN phenotype (ESR1, PGR, and ERBB2), and the relative expression of each proliferation gene (ANLN, CDC20, CENPF, CEP55, KIF2C, RRM2, UBE2C, MKI67, CCNB1, MYBL2).13 First, we calculated the mean and standard deviation for each of these variables within three age groups of TN tumors. Second, we tested for significance of the trend in relative expression with age in a linear regression model, adjusting for race/ethnicity.

Hazard ratios (HR) and 95% confidence intervals (CI) for the associations of clinical subtype with outcomes were estimated from Cox proportional hazards models, with adjustment for demographic variables (age at diagnosis and race/ethnicity) and other tumor characteristics at diagnosis (tumor size, number of positive nodes, and grade). Analyses accounted for the case–cohort study design and the stratified sampling of the subcohort.17 Previous analyses showed that the influence of tumor subtype on survival was most evident during the first five years after diagnosis, and therefore analysis focused on that time period.17

RESULTS

The two cohorts (Pathways and LACE studies) included women diagnosed with breast cancer from age 25–91 years with the largest proportion of women between the ages of 50 and 59 years. The 1,319 cases with PAM50 assay results were similar to the parent cohorts with respect to clinical characteristics, patient age, and race/ethnicity.8

The proportion of patients with TNBC as defined by clinical tests who were white and non-Hispanic increased with age in a similar manner to the other phenotypes (Table 1). Histologic grade of poorly- or un-differentiated tumors predominated among women diagnosed with TNBC before age 50 years (85%) but was somewhat less prevalent (72%) among TNBC in the older age groups. The frequency of large tumors, in the 2–5 cm size category, was higher among TNBC than non-TNBC in each age group. Among TNBC, there was no indication that older women had a higher frequency of large tumors than younger women.

Table 1.

Characteristics of breast cancers with clinical triple negative phenotype and other phenotypes, by age at diagnosis, from a population-based cohort

Age < 50 years Age 50–64 years Age 65+ years
Triple Negative (n=159) Other Phenotypes (n=732) Triple Negative (n=201) Other Phenotypes (n=1,562) Triple Negative (n=108) Other Phenotypes (n=1,097)
n % n % n % n % n % n %
Race or Ethnicity
 White, non-Hispanic 93 58.5 461 63.0 129 64.2 1,160 74.3 83 76.9 910 83.0
 Black or African American 24 15.1 48 6.6 38 18.9 89 5.7 9 8.3 34 3.1
 Hispanic 23 14.5 102 13.9 16 8.0 125 8.0 6 5.6 76 6.9
 Asian or Pacific Islander 13 8.2 100 13.7 11 5.5 142 9.1 6 5.6 61 5.6
 Other or unknown 6 3.8 21 2.9 7 3.5 46 2.9 4 3.7 16 1.5
Grade
 Well-differentiated 1 0.6 130 17.8 4 2.0 395 25.3 5 4.6 316 28.8
 Moderately Differentiated 17 10.7 321 43.9 46 22.9 733 46.9 21 19.4 477 43.5
 Poorly or Undifferentiated 136 85.5 231 31.6 143 71.1 330 21.1 77 71.3 200 18.2
 Unknown 5 3.1 50 6.8 8 4.0 104 6.7 5 4.6 104 9.5
Stage at Diagnosis
 I 46 28.9 316 43.2 90 44.8 797 51.0 51 47.2 621 56.6
 II 99 62.3 353 48.2 101 50.3 664 42.5 52 48.2 423 38.6
 III 13 8.2 61 8.3 8 4.0 98 6.3 5 4.6 46 4.2
 IV 1 0.6 2 0.3 2 1.0 3 0.2 0 0.0 7 0.6
Positive lymph nodes (n)
 None 100 62.9 427 58.3 138 68.7 1,005 64.3 84 77.8 785 71.6
 1 to 3 37 23.3 213 29.1 49 24.4 396 25.4 19 17.6 225 20.5
 4 + 22 13.8 92 12.6 14 7.0 161 10.3 5 4.6 87 7.9
Tumor size (cm)
 <= 2 70 44.0 443 60.5 117 58.2 1,077 69.0 63 58.3 787 71.7
 > 2 to 5 84 52.8 258 35.3 78 38.8 438 28.0 41 38.0 281 25.6
 > 5 5 3.1 31 4.2 6 3.0 47 3.0 4 3.7 29 2.6
Body Mass Index (kg/m2)
 < 25 68 42.8 383 52.3 65 32.3 589 37.7 49 45.4 405 36.9
 25 to < 30 43 27.0 193 26.4 60 29.9 481 30.8 32 29.6 365 33.3
 30 + 48 30.2 156 21.3 76 37.8 492 31.5 27 25.0 327 29.8
Family History of Breast Cancer
 No 127 79.9 610 83.3 166 82.6 1,223 78.3 85 78.7 850 77.5
 Yes 30 18.9 122 16.7 35 17.4 337 21.6 23 21.3 243 22.2
 Unknown 2 1.3 0 0.0 0 0.0 2 0.1 0 0.0 4 0.4

The proportion of both TNBC and Basal-like breast cancers among women older than 65 years at diagnosis was lower than the proportion in the younger age group (Table 2). The sensitivity and positive predictive value of the clinically-determined TN phenotype to correctly classify a breast cancer as Basal-like intrinsic subtype as determined by PAM50 decreased with age (Table 2). The trends of lower prevalence of TN and lower positive predictive value for Basal-like subtype with older age appeared to be present within subgroups by race/ethnicity, although due to small numbers within some age-race categories, statistical power was limited. The proportion Basal-like cancers for each age group was examined within subgroups by race and ethnicity. The proportion Basal-like declined with age among white non-Hispanics, among Hispanics, and among Asian and Pacific Islanders. For black or African-American women, the proportion of Basal-like cancers remained relatively high, ≥25%, for all age groups (Table 2).

Table 2.

Sensitivity and specificity of clinical triple negative (TN) status for classifying Basal-like molecular subtype in breast cancer, by age, race, and ethnicity

Proportion TN Proportion Basal-like Sensitivity (95% CI) Specificity (95% CI) Positive Predictive Value (95% CI) Negative Predictive Value (95% CI)
All 0.12 0.10 0.82 (0.74–0.89) 0.96 (0.96–0.97) 0.69 (0.65–0.74) 0.98 (0.97–0.99)
Age at Diagnosis (years)
 < 50 0.17 0.16 0.91 (0.77–0.97) 0.97 (0.96–0.98) 0.86 (0.80–0.91) 0.98 (0.95–0.99)
 50–64 0.11 0.09 0.80 (0.66–0.89) 0.96 (0.95–0.97) 0.66 (0.59–0.73) 0.98 (0.96–0.99)
 65 + 0.08 0.06 0.72 (0.48–0.87) 0.96 (0.94–0.97) 0.52 (0.41–0.62) 0.98 (0.95–0.99)
Race and Ethnicity
 White-non-Hispanic 0.10 0.08 0.87 (0.77–0.93) 0.97 (0.96–0.97) 0.69 (0.63–0.75) 0.99 (0.98–0.99)
  < 50 0.16 0.16 0.90 (0.65–0.98) 0.98 (0.95–0.99) 0.88 (0.78–0.93) 0.98 (0.91–1.00)
  50–64 0.10 0.07 0.85 (0.67–0.94) 0.96 (0.95–0.97) 0.63 (0.54–0.72) 0.99 (0.97–1.00)
  65 + 0.09 0.05 0.87 (0.74–0.94) 0.97 (0.95–0.98) 0.58 (0.46–0.69) 0.99 (0.98–1.00)
 Black or African-American 0.25 0.30 0.62 (0.40–0.80) 0.90 (0.84–0.95) 0.74 (0.61–0.83) 0.84 (0.68–0.93)
  < 50 0.34 0.28 0.94 (0.68–0.99) 0.93 (0.79–0.98) 0.84 (0.61–0.95) 0.97 (0.90–0.99)
  50–64 0.31 0.34 0.63 (0.34–0.85) 0.89 (0.77–0.95) 0.74 (0.57–0.86) 0.82 (0.57–0.94)
  65 + 0.17 0.25 0.20 (0.04–0.59) 0.91 (0.75–0.97) 0.43 (0.14–0.77) 0.77 (0.41–0.94)
 Hispanic 0.13 0.12 0.89 (0.74–0.96) 0.97 (0.94–0.99) 0.80 (0.65–0.89) 0.99 (0.96–0.99)
  < 50 0.19 0.18 0.85 (0.63–0.95) 0.99 (0.93–1.00) 0.94 (0.69–0.99) 0.97 (0.90–0.99)
  50–64 0.11 0.11 0.92 (0.61–0.99) 0.96 (0.90–0.99) 0.75 (0.49–0.90) 0.99 (0.93–1.00)
  65 + 0.06 0.04 - - a 0.96 (0.87–0.99) 0.50 (0.17–0.83) 1.00a
Asian or Pacific Islander 0.08 0.05 1.00a 0.96 (0.93–0.98) 0.59 (0.40–0.76) 1.00a
  < 50 0.11 0.10 1.00a 0.98 (0.90–0.99) 0.82 (0.49–0.95) 1.00a
  50–64 0.06 0.04 1.00a 0.97 (0.93–0.99) 0.58 (0.31–0.82) 1.00a
  65 + 0.09 0 1.00a 0.92 (0.77–0.97) - -a 1.00a
a

Some values and/or CI cannot be calculated due to small numbers for Hispanics and for Asian or Pacific Islander

PAM50 subtypes were significantly different among different age groups with TNBC (P < 0.001) (Figure 1). Eighty-seven percent of TNBC diagnosed in women under the age 50 years were of Basal-like subtype whereas this ratio was only 52% in women over 65 years of age. The HER2-enriched subtype was observed in 35% of women over 65 versus 10% among women younger than age 50 years. Molecular expression of ESR1 and PGR did not vary significantly by age at diagnosis among women with TNBC after adjusting for race and ethnicity (Figure 2). Expression of ERBB2 was positively associated with age (P = 0.02). When the expression of proliferation-associated genes among women with TN breast cancer was evaluated, age was inversely associated with proliferation score (average of the 10-gene signature) and with each proliferation gene individually (P < 0.01) after adjusting for race and ethnicity (Figure 3). We repeated the analysis of gene expression by age at diagnosis after restricting the sample to tumors confirmed as Basal-like by PAM50 (data not shown). Within the Basal-like sample, there was no association between age and expression of ESR1, PGR, or ERBB2. Among Basal-like tumors, trends for proliferation genes were in the same direction as those shown in Figure 3 among TNBC, i.e. higher expression of proliferation genes associated with younger age. However, the association between age and proliferation gene trends were attenuated and were statistically significant for only three of the genes (CEP55 P = 0.01, MYBL2 P = 0.005, and KIF2C P = 0.02).

Figure 1.

Figure 1.

Distribution of PAM50 molecular subtypes by age at diagnosis among clinical triple negative breast cancers and among other phenotypes.

Figure 2.

Figure 2.

Gene expression as determined by qRT-PCR of PAM50 among women with clinically determined triple negative breast cancers. Expression of hormone receptor genes and ERBB2.

Figure 3.

Figure 3.

Proliferation scores and expression of 10 proliferation genes by age among clinically determined Triple Negative breast cancers. All genes had statistically significant trends of decreasing expression level with older age (p< 0.01).

When survival of women with TN tumor phenotype was compared to women with hormone-receptor positive breast cancer in the same cohort, TNBC was associated with increased risk of breast cancer recurrence and breast cancer death in the first five years after diagnosis in all age groups (Fig 4, Table 3). The association between TNBC and survival was independent of tumor stage and grade. When the period of follow-up was extended to the end of study follow-up, HRs for TNBC were attenuated but remained significant for recurrence in the 65+ age group (HR 1.91, 95% CI: 1.03–3.54). Among women diagnosed at age 65 years or older, the association between TNBC and adverse breast cancer outcomes was more apparent among those with tumors confirmed as Basal-like by PAM50.

Figure 4.

Figure 4.

Five-year recurrence and breast cancer death in women with Basal-like and non Basal-like triple negative breast cancer (TNBC) by age groups.a

a Hazard ratios relative to women in the cohort with hormone receptor positive breast cancer, race/ethnicity, tumor size, number of positive nodes, and grade. Recurrence includes recurrence and second primary breast cancers.

Table 3.

Five-year recurrence and cause-specific mortality by age at diagnosis in women with a diagnosis of clinical triple negative breast cancer (TNBC)

Recurrencea Breast Cancer Death
n Events HRb 95% CI Events HRb 95% CI
Hormone Receptor (ER/PR) Positive 776 57 1 Ref 21 1 Ref
Triple Negative (TNBC) 401 58 1.8 1.2 – 2.8 48 4.1 2.3 – 7.2
 TNBC, Basal-like by PAM50 280 40 1.8 1.1 – 2.9 33 4.0 2.1 – 7.4
 TNBC, not Basal-like by PAM50 121 18 1.9 1.1 – 3.3 15 4.2 2.1 – 8.5
a

Includes recurrence and second primary breast cancers

b

Hazard ratio (HR) relative to women in the cohort with luminal breast cancer, adjusted for age, race/ethnicity, tumor size, number of positive nodes, and grade.

DISCUSSION

It has long been postulated that breast cancer among older women has less aggressive characteristics, including a higher rate of hormone-receptor-positive tumors, lower histologic grade, and lower proliferation rate.2, 4 Although TNBC are less prevalent among older women, TN/Basal-like cancers are still diagnosed in significant numbers due to a higher incidence of breast cancers overall in this age group. In this study, poor prognostic factors such as poor and undifferentiated cancers, larger tumor size, and higher number of positive lymph nodes were more frequent among younger women both in TN and other phenotypes combined. The prevalence of both clinically determined TN and qRT-PCR (PAM50) determined Basal-like cancers were lower among women diagnosed with breast cancer after age 65 years. Sensitivity and positive predictive value of clinical TN status for classifying Basal-like molecular subtype also decreased with age. The prevalence of TN and Basal-like breast cancers vary by race/ethnicity and minority populations have different age distributions of breast cancer. Proportion of TN and Basal-like cancers was highest among African American women although TN phenotype was least sensitive in predicting Basal-like subtype in this racial group.

There was a significant difference in molecular subtypes among older and younger women. Only 52% of women over 65 years of age with TNBC at the time of diagnosis were of Basal-like molecular subtype compared to 87% of women younger than age 50 years at diagnosis. Thirty-five percent of TNBC seen in women over 65 were of HER2-enriched subtype. Among women with TNBC about 20–30% are of non-Basal like molecular type.20 In this study the proportion of non-Basal like tumors, especially HER2-enriched cancers, was found to be significantly higher among older women who may benefit from targeted therapies. In post-menopausal women with hormone positive metastatic breast cancer having clinical HER2 negative/molecular HER2-enriched subtype have been shown to benefit from HER2-targeted (Lapatinib) therapy.21 Androgen receptor (AR) mRNA is highly expressed in both luminal and HER2-enriched molecular subtypes of TNBC. Luminal / Androgen Receptor (LAR) subtype, although being ER negative, has hormonally regulated pathways including androgen/estrogen metabolism. LAR TNBC have lower proliferation rates compared to other TNBC subtypes resulting in relative chemo-resistance in a neoadjuvant setting.22 The percentage of tumor cells positive for AR by immunohistochemistry is significantly higher in LAR subtype compared to other subtypes within TNBC. The AR is the focus of therapeutic targets in adjuvant and neoadjuvant setting in recent and ongoing clinical trials.23, 24 AR is not among the genes included in PAM50 and we did not have access to tissue blocks to perform immunohistochemistry for AR to test if the increase in HER2-encriched subtype in older patients correlates with LAR subtype.

ESR1 and PGR gene expression levels were similar in younger and older women with TNBC and unlikely to have contributed to the difference in the sensitivity of predicting Basal-like molecular type in these age groups. ERBB2 expression was higher among older women. TNBC are diverse group of cancers with non-uniform response to therapy.25 Some significant differences between older and younger women with TNBC have been described. In studies using IHC staining, older women with TNBC were reported to have higher frequency of cytokeratin 5/6 expression, lower expression of EGFR,9, 12 lower rate of Ki67 labeling index and cytokeratin 7/8 positivity, and a higher rate of Bcl2 and cytokeratin 18 positivity.9 In the present study we used different methods, i.e. qRT-PCR, and evaluated a set of 10 proliferation-related genes: ANLN, CDC20, CENPF, CEP55, KIF2C, RRM2, UBE2C, MKI67, CCNB1, MYBL2. These proliferation genes correlate to Ki67 expression, and the last four genes are also included in the set of genes of commonly used commercially available OncotypeDX ® testing. We observed that all 10 proliferation genes were significantly lower among older women with TNBC. This result is consistent with the IHC-based studies in indicating that lower proliferation is characteristic of TN tumors from older women.

Several characteristics of TNBC in the population of women diagnosed at age 65 years or greater compared to TNBC in younger women documented here, including lower grade distribution, lower predictive value of clinical TNBC for molecular Basal-like subtype, and lower expression of proliferation genes, are suggestive of prognostic differences for TNBC by age group. However, when tumor size, nodes, and grade were accounted for, TNBC remained associated with breast cancer recurrence and death in elderly women. HRs in the age group diagnosed at age 65 or greater indicated that the worse survival outcomes were more apparent in those TNBC confirmed as Basal-like molecular subtype, but numbers of outcomes after subgrouping by age and PAM50 results were small, limiting ability to distinguish different survival patterns among these groups. The higher recurrence rates and breast cancer deaths among the youngest woman with non-Basal like TNBC compared to Basal-like TNBC is likely due to a lower response to chemotherapy due to lower proliferative rates and / or lower proliferation association associated gene expression levels. Although we do not have treatment information, it is likely that a significant proportion, if not all, of the patients younger than 50 received systemic therapy following the diagnosis of TNBC.

TNBC is a heterogeneous breast cancer which has been further sub-classified into four molecular subtypes with significantly different response to similar neoadjuvant therapy.25, 26 There is interest in developing targeted treatment to these subclassifications. Although the genes assayed in our study did not include all genes needed to define the sub-classes of Basal-like cancers, our findings indicate that age is a determinant of some of the heterogeneity among TNBC. Our findings of higher ERBB2 expression and lower proliferation-related gene expression raise the possible need for intrinsic subtyping in older women with TNBC when benefits of systemic chemotherapy are questionable or when potential targetable therapies become available for specific molecular subclassifications of TNBC.

Acknowledgments

Funding Sources:

U.S. National Institutes of Health, R01CA129059 (B.J. Caan)

U.S. National Institutes of Health, R01CA105274 (L.H. Kushi)

Footnotes

Conflict of Interest Disclosures

H. Evin Gulbahce: nothing to disclose

Philip S. Bernard: Dr. Bernard is an inventor of the PAM50 signature and a stakeholder in BioClassifier LLC, a company that licensed the PAM50 know-how to Nanostring Inc. for commercialization of Prosigna®

Erin K. Weltzien: nothing to disclose

Rachel E. Factor: nothing to disclose

Lawrence H. Kushi: nothing to disclose

Bette J. Caan: nothing to disclose

Carol Sweeney: nothing to disclose

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