Breast ductal cytologic atypia is an important risk factor for sporadic breast cancer. Characterization of the associated normal breast tissue is needed to develop additional methods of risk assessment and new targets for breast cancer prevention. We conducted a prospective clinical trial evaluating women at normal-risk or at high-risk for sporadic breast cancer. Breast ductal cells were collected and studied cytologically and by gene expression profiling, and breast ductal architectural changes were studied by breast ductal endoscopy (BDE) and breast MRI. One hundred and forty subjects were studied, 70 at high risk (RR, 2.0–4.6) and 70 at normal risk. Cytologic atypia was present in 22.9% of high-risk and 25.7% of normal-risk subjects. Ductal endoscopy was performed in 89 subjects and revealed benign intraductal abnormalities, primarily intraductal fibrous webbing suggesting chronic inflammation, in 40.4% of high-risk and 5.4% of normal-risk subjects, respectively (P2 = 0.0002). Two high-risk subjects with atypia and no normal-risk subjects with atypia developed invasive breast cancer. Gene expression profiling of ductal cells showed comparable gene expression profiles without enriched expression of previously defined oncogenic signatures in subjects with cellular atypia compared with those without atypia, and in high-risk subjects compared with normal-risk subjects (FDR > 0.5). Cytologic ductal atypia in normal-risk subjects does not appear to be of clinical significance. Atypia in women at high risk may be associated with benign and malignant breast ductal abnormalities; these characteristics of high-risk ductal cells may not be reflected in gene expression profiles.

Breast cancer is the most common malignancy in women with over 316,000 cases annually in the United States (1). The risk for sporadic breast cancer may be increased by several factors including hormonal, family history, and histologic changes of breast tissue such as atypical hyperplasia or lobular carcinoma in situ. Identification of women at high risk is important to help with recommendations for the use of surveillance imaging measures, for lifestyle changes, and for consideration of breast cancer prevention methods. Determination of breast cancer risk is commonly made with the aid of risk assessment models such as the Gail Index or the Tyrer–Cuzick (TC) Index (2–4). Women considered to be at high risk by these models, when treated with the antiestrogen tamoxifen, may reduce the risk of breast cancer by 49% (3), indicating the importance of risk assessment. Unfortunately, 50% to 70% of women who develop breast cancer have no identifiable risk factors (5, 6), suggesting that additional methods are needed to identify and classify women at high risk for breast cancer.

Most breast cancers develop in the epithelial cells lining the breast milk ducts. Cytologic atypical changes of the ductal epithelial cells has been shown to be an important marker of increased risk for breast cancer. Two prospective studies with long-term follow-up have shown independently that women with cellular atypia detected in breast ductal cytology have an approximately five-fold increased relative risk of developing breast carcinoma (7–9). The presence of cytologic atypia of ductal epithelium in women at high risk has been confirmed by many studies, with an incidence of approximately 17% to 35% (2, 7, 9–14). This marker is considered to represent carcinogenic progression of the epithelium (2). One would therefore anticipate that atypia is accompanied by architectural changes of the breast ducts and genomic charges of the ductal epithelium. If correct, then analysis and characterization of these normal breast tissues may provide important information which could be useful in risk assessment and the development of new prevention targets. Limited studies have been conducted to characterize these tissues with either ductal endoscopy or breast MRI, or with molecular analysis. Two ductal endoscopy studies examined breast ducts in a total of 36 high-risk women with cytologic atypia: they found ductal abnormalities in 19 subjects (52.8%) including 4 cases of atypical hyperplasia, 2 of radial scar, 11 cases of papilloma, and 1 case of DCIS (10, 11). Interestingly, in the study by Cyr and colleagues (10), intraductal webbing was noted in three cases, and on excision one had atypical hyperplasia and two had papillomas, suggesting that the presence of intraductal webbing, while indicating chronic inflammation and proliferation in these ducts, is an important sign of progression in breast carcinogenesis. Three studies evaluated with MRI 38 high-risk women with atypia and found one case of ADH and one case of DCIS (7, 11, 14). These ductoscopy and MRI studies were performed in high-risk women with atypia, and while indicating intraductal abnormalities of the associated breast epithelium and breast tissue, did not include any women at high risk without atypia, or any women at normal risk either with or without atypia. These latter studies are needed to better define the relationship of atypia to risk and the presence of associated ductal and breast tissue abnormalities. There are also very limited studies to examine genomic changes in ductal epithelial cells in women with atypia. Fabian and colleagues (9) studied expression of EGFR, ER, p53, and HER-2/Neu in high-risk ductal epithelium and found it was associated with hyperplasia with atypia but did not predict the development of breast cancer. Whole genome studies such as gene expression profiling are needed to provide important information about underlying epithelial changes associated with atypia and risk.

To address these issues, we have conducted a clinical trial in which women at normal risk or at high risk for sporadic breast cancer were studied with breast ductal lavage and ductal endoscopy, and identification of women with cytologic atypia further evaluated with breast MRI and gene expression profiling of ductal cells. We now present our findings for the evaluation of 140 women.

Subject population

All subjects were women participating in an NIH NCI-IRB approved intramural clinical trial (protocol NCI02-C-0077, NCT00028340), and all gave written informed consent. The patient studies were conducted in accordance with the ethical guideline U.S. Common Rule. Demographic data were collected for each subject. Risk assessment for breast cancer was conducted with the Gail model and the TC Risk Assessment model, version 7. Women were defined as being at high-risk if they had (i) a Gail Index ≥1.67%, or a TC high-risk index ≥2.0 [the cumulative breast cancer lifetime probability that is ≥ double the age- and race-matched general population risk, which was determined from the 2010 to 2012 SEER database (https://seer.cancer.gov/archive/csr/1975_2012/); refs. 4, 15]; (ii) histologic evidence of lobular carcinoma in situ or atypical ductal hyperplasia; or (iii) an ipsilateral breast cancer and normal contralateral breast. Women with known deleterious mutations in BRCA1/2 or other highly-penetrant breast cancer susceptibility genes were eligible for this protocol. All women were required to have a WBC >2,500, platelet count >50,000, a negative pregnancy test for premenopausal subjects, a negative mammogram within 12 months for women ≥30 years of age, a normal breast examination, and be without any current exogenous estrogen use. Breast cancer subjects must not be currently taking tamoxifen and must have completed chemotherapy at least 4 weeks prior to entry. Women with prior breast irradiation to both breasts, bilateral breast implants, or bilateral major duct excision were not eligible.

Breast ductal lavage

Breast ductal lavage (BDL) for the first 59 subjects was performed using a Cytyc microcatheter (Cytyc Corp.), and the duct lavaged with 10 mL normal saline as described previously (2). An aliquot of the final lavage was placed in a ThinPrep vial and analyzed cytologically. The remaining material was separated into cellular and supernatant components with centrifugation at 364 × g, and each frozen at −80°C.

Breast ductal lavage for subjects 60 to 140 was performed with a modified technique as described previously (16). This involved placement of a 22G Intracath (Introcan Safety; B Braun Medical) in the duct, lavage with saline, and collection of the lavage materials from the hub of the Intracath. Multiple individual one milliliter samples were collected, a 100 μL aliquot taken from each for cytologic review, and the remaining 900 μL either placed immediately in RLT lysis buffer containing 1% β-mercaptoethanol (BME; Qiagen Corp.), vortexed, and frozen at −80°C, or separated at 364 × g at 4°C, and the cellular and supernatant components frozen at −80°C for future studies.

Breast ductal endoscopy

Breast ductal endoscopy (BDE) was performed under intravenous sedation following breast duct lavage, and utilizing an endoscopic unit (Microendoscope; Acueity Corp.) as previously described (17). The endoscopic unit was passed distally until further passage was precluded by narrowing of the duct. Multiple branches were examined; the endoscope was then gradually withdrawn, reexamining the proximal aspects of the duct out to the nipple.

Cytologic analysis and cell count

A 100 μL aliquot of each 1.0 mL ductal lavage sample was taken, placed in PreservCyt, and a ThinPrep slide made for cytopathologic analysis. The cytologic analyses were conducted throughout the duration of the protocol by experienced cytopathologists (mostly ACF), trained and mentored in interpretation of ductal lavage specimens in the early phase of the study. The cytologic diagnostic categories were very similar to the 1997 consensus criteria for breast fine needle aspiration biopsy samples published by the NCI (18). These categories included insufficient cellular material for diagnosis (<10 ductal epithelial cells), negative for malignancy, atypical (mild atypia or atypia/marked atypia), suspicious for malignancy, or malignant. BDL cases were placed in these categories based primarily on the absence or presence of previously described atypical cytologic features that can be observed in the single ductal dells and/or clusters of ductal cells (19). The cytologic atypical findings for all subjects were confirmed by one cytopathologist (ACF). In a study by Patil and colleagues (20), the interobserver variability for the cytologic diagnosis of BDL samples by pathologists showed good agreement (20). Epithelial cell counts of each sample were determined as described previously (17, 21).

RNA extraction and amplification

Cell pellets were lysed in 350 μL RLTPlus lysis buffer (Qiagen Corp.)/BME. Twelve- and one-half micrograms of GenElute-LPA (Sigma-Aldrich) and 1.5 volumes of 100% ethanol were added to lysates, and the RNA extracted using the RNeasy Micro Kit (Qiagen Corp.) according to the manufacturer's instructions. For the lavage samples in which the initial sample was placed in a 12-mL centrifuge tube as described above, samples were thawed and RNA extracted. Purified RNA was eluted in RNase-free water and analyzed both spectrophotometrically and by an Agilent 2100 Bioanalyzer using an RNA 6000 Pico Chip (Agilent Corp.). RNA preparations were then stored at −80°C.

Gene expression microarray

For gene expression profiling, 10 ng of total RNA was amplified and labeled with Ovation Whole Blood Solution Kit (Nugen) following the manufacturer's protocol. Labeled cDNA (4.4 μg) of each sample was hybridized to Affymetrix human U133 plus 2.0 GeneChip array at 45°C for 16 hours. GeneChip arrays were washed on Affymetrix Fluidics Station 450 using the manufacturer's recommended scripts and scanned on an Affymetrix GeneChip scanner 3000. Data were collected using Affymetrix AGCC software and normalized with the RNA algorithm.

Bioinformatic analysis

Unsupervised hierarchical clustering was performed on median centered data using uncentered correlation as a similarity metric and centroid linkage. Differential expression of individual genes was evaluated with a Student t test. Signature analysis of microarray data was performed with gene set enrichment analysis (GSEA) software (22). FDRs were calculated using the Benjamini–Hochberg procedure (23). Comparison of clinical and demographic parameters was conducted using Fisher exact test and Student t test analyses.

Subject characteristics

One hundred and forty consecutive subjects were studied from 2002 to 2017. The subject's demographic characteristics are summarized in Table 1. Among normal-risk subjects, 55.1% were at or near a RR of 1.0 by standard risk assessment criteria. Among high-risk subjects, a history of ipsilateral breast cancer was the most common high-risk characteristic; the associated breast cancers were predominantly stage I or stage II. Non-breast cancer subjects were most commonly at high risk because of elevated Gail Index or TC high-risk index.

Table 1.

Demographic data.

CategoryN
Subjects 140 
Normal risk subjects 70 (50.0)a 
High-risk subjects: risk category 70 (50.0) 
 Breast cancer 46 (32.9) 
 Gail/Tyrer-Cuzick 19 (13.6) 
 ADH 4 (2.9) 
 BRCA1 1 (0.7) 
Menopausal status 
 Premenopausal 95 
 Postmenopausal 45 
Age 
 Normal risk subjects 70 
  Median age 41 years 
  Age range 22–56 years 
 High-risk subjects 70 
  Median age 49 years 
  Age range 25–71 years 
Ethnicity 
 Caucasian 58 (41.4) 
 African American 38 (27.1) 
 Hispanic 37 (26.4 
 Asian 7 (5.0) 
CategoryN
Subjects 140 
Normal risk subjects 70 (50.0)a 
High-risk subjects: risk category 70 (50.0) 
 Breast cancer 46 (32.9) 
 Gail/Tyrer-Cuzick 19 (13.6) 
 ADH 4 (2.9) 
 BRCA1 1 (0.7) 
Menopausal status 
 Premenopausal 95 
 Postmenopausal 45 
Age 
 Normal risk subjects 70 
  Median age 41 years 
  Age range 22–56 years 
 High-risk subjects 70 
  Median age 49 years 
  Age range 25–71 years 
Ethnicity 
 Caucasian 58 (41.4) 
 African American 38 (27.1) 
 Hispanic 37 (26.4 
 Asian 7 (5.0) 

aNumber in parenthesis – percentage of total subjects.

Breast ductal lavage and cytologic findings

Breast duct lavage was successfully performed in 139 women; in one subject a duct could not be accessed (Table 2). The cytologic findings are summarized in Table 2. Atypical epithelial cells were identified overall in 34 subjects (24.3%), and were most commonly mild epithelial atypia (17.9%). The overall incidence of epithelial atypia, and the distribution according to mildly atypical cells versus atypical epithelium was comparable between normal-risk subjects and high-risk subjects (P = NS; Table 2). The incidence of atypia was also comparable between the two types of catheters used—25.2% for the Cytyc catheter versus 22.2% for the Intracath catheter. There were no cases of cytology suspicious for, or characteristic of, malignancy in either the normal risk or the high-risk subjects. In the four subjects with a previous diagnosis of ADH, the opposite breast was examined and none had atypical cells on ductal lavage cytology.

Table 2.

Ductal lavage and cytologic characteristics.

CategoryN
Nipple aspirate fluid (NAF) 140 subjects 
 Absent 90 (64.3)a 
 Present 50 (35.7) 
Normal risk 70 
 NAF absent 49 (70.0) 
 Present 21 (30.0) 
High-risk 70 
 NAF absent 41 (58.6) 
 Present 29 (41.4) 
Cytologic characteristics of ductal lavage 140 subjects 
 Negative 96 (68.6) 
 Mild epithelial atypia 25 (17.9) 
 Epithelial atypia 9 (6.4) 
 ICMD 9 (6.4) 
 Malignant 0 (0.0) 
 No ductal lavageb 1 (0.7) 
Normal risk subjects with atypia 18 (25.7) 
 Mild atypical epithelium 15 (21.4) 
 Atypical epithelium 3 (4.3) 
High-risk subjects with atypia 16 (22.9) 
 Mild atypical epithelium 10 (14.3) 
 Atypical epithelium 6 (8.6) 
CategoryN
Nipple aspirate fluid (NAF) 140 subjects 
 Absent 90 (64.3)a 
 Present 50 (35.7) 
Normal risk 70 
 NAF absent 49 (70.0) 
 Present 21 (30.0) 
High-risk 70 
 NAF absent 41 (58.6) 
 Present 29 (41.4) 
Cytologic characteristics of ductal lavage 140 subjects 
 Negative 96 (68.6) 
 Mild epithelial atypia 25 (17.9) 
 Epithelial atypia 9 (6.4) 
 ICMD 9 (6.4) 
 Malignant 0 (0.0) 
 No ductal lavageb 1 (0.7) 
Normal risk subjects with atypia 18 (25.7) 
 Mild atypical epithelium 15 (21.4) 
 Atypical epithelium 3 (4.3) 
High-risk subjects with atypia 16 (22.9) 
 Mild atypical epithelium 10 (14.3) 
 Atypical epithelium 6 (8.6) 

Abbreviation: ICMD, insufficient cellular material for diagnosis.

aNumber in parenthesis – percentage of total subjects.

bDuctal orifice could not be identified.

When the normal-risk subjects were stratified according to family history we found, among 18 subjects with atypia, none had a first degree relative with breast cancer, and three had a second-degree relative (all maternal grandmothers), versus among 51 subjects with no atypia, where one subject had a first-degree relative (mother), and one subject had a second-degree relative (aunt). The Incidence of family history was thus minimal and comparable between normal-risk subjects with and without atypia. When stratified according to the relative risk based on TC-risk assessment, among normal risk women with atypia the median TC index was 1.17 (range = 0.82–1.83); among normal risk women without atypia, the median TC index was 1.21 (range = 0.64–1.73). The risk assessment index was thus comparable between normal-risk subjects with and without atypia. These findings are also comparable to published studies of atypia in lower-risk women. In a study by Fabian and colleagues (9), women at lower risk with a 10-year Gail risk below the median of 4% had no cancers detected in the initial 3 years of follow-up, regardless of their cytology test results. In a study by Wrensch and colleagues (8), in women without a family history of breast cancer the incidence of atypia was 0.21% with an RR of 3.0, compared with a RR of 1.7 to 2.3 for women without atypia, with overlapping confidence intervals. Among women ages 55 years or greater no significant differences were found in the risk of breast cancer by the differing cytologic diagnoses.

Our high-risk study population included 46 women with a prior breast cancer, 16 of whom were previously treated with systemic chemotherapy with or without tamoxifen. To clarify the relationship of atypia to these characteristics, we analyzed the demographic details of the patients with breast cancer who had prior systemic therapy, and the 30 women with prior breast cancer who did not have prior systemic therapy; these findings are summarized in Tables 3 and 4, and include the corresponding cytologic findings for each subject. To facilitate comparisons among all subjects in the study, the findings for atypia of all risk groups, both high risk and normal risk are summarized and compared in Table 5. It can be seen that the incidence of atypia among the high-risk groups is comparable whether or not they had prior systemic therapy. This indicates that the prior systemic therapy was not associated with a higher incidence of atypia. The findings in Table 5 also indicate that, when the incidence of atypia is analyzed in subgroups of high-risk subjects, the incidence remains comparable to that of normal-risk subjects.

Table 3.

Patients with breast cancer with prior systemic treatment.

SubjectAgeStage breast cancerER/PRHER2/neuTamoxifenInterval since chemotherapy stoppedInterval since tamoxifen stoppedCytologyDuctal endoscopy
65 Stage II Positive/positive Positive Yes 6 years/4 months 1 year/11 months Atypia Negative 
57 Stage II Negative/negative Unknown No 9 years/5 months  Atypia Intraductal web 
58 Stage II Positive/positive Unknown Yes 11 years/6 months 6 years/5 months Neg Intraductal web 
55 Stage II Negative/negative Negative No 9 years/9 months  Neg Intraductal web 
57 Stage II Positive/positive Positive Yes 5 years/5 months 6 months Neg Intraductal web 
56 Stage II Negative/negative Negative No 7 years/7 months  Neg Intraductal web 
48 Stage II Negative/negative Unknown No 6 years/2 months  Atypia Yellow deposit 
64 Stage II Negative/positive Unknown Yes 12 years/1 month 7 years/3 months Mild atypia Intraductal web 
61 Stage II Positive/positive Negative Yes 8 years/1 months 3 years/3 months Neg Intraductal web 
10 56 Stage II Positive/positive Negative Yes 11 years/7 months 6 years/9 months Neg Intraductal web 
11 59 Stage II Positive/positive Unknown Yes 10 years/6 months 5 years/6 months Neg Yellow deposit 
12 49 Stage II Positive/negative Unknown Yes 5 years/3 months 4 months Neg Intraductal web 
13a 48 Stage IV Positive/positive Unknown Yes 3.5 years 3.5 years Not studied Not studied 
14 46 Stage IV Positive/positive Negative No 3 months  Neg Intraductal web 
15 68 Stage II Negative/negative Unknown No 13 years/4 months  Neg Negative 
16 63 Stage II Negative/negative Negative No 9 years/5 months  Neg Negative 
SubjectAgeStage breast cancerER/PRHER2/neuTamoxifenInterval since chemotherapy stoppedInterval since tamoxifen stoppedCytologyDuctal endoscopy
65 Stage II Positive/positive Positive Yes 6 years/4 months 1 year/11 months Atypia Negative 
57 Stage II Negative/negative Unknown No 9 years/5 months  Atypia Intraductal web 
58 Stage II Positive/positive Unknown Yes 11 years/6 months 6 years/5 months Neg Intraductal web 
55 Stage II Negative/negative Negative No 9 years/9 months  Neg Intraductal web 
57 Stage II Positive/positive Positive Yes 5 years/5 months 6 months Neg Intraductal web 
56 Stage II Negative/negative Negative No 7 years/7 months  Neg Intraductal web 
48 Stage II Negative/negative Unknown No 6 years/2 months  Atypia Yellow deposit 
64 Stage II Negative/positive Unknown Yes 12 years/1 month 7 years/3 months Mild atypia Intraductal web 
61 Stage II Positive/positive Negative Yes 8 years/1 months 3 years/3 months Neg Intraductal web 
10 56 Stage II Positive/positive Negative Yes 11 years/7 months 6 years/9 months Neg Intraductal web 
11 59 Stage II Positive/positive Unknown Yes 10 years/6 months 5 years/6 months Neg Yellow deposit 
12 49 Stage II Positive/negative Unknown Yes 5 years/3 months 4 months Neg Intraductal web 
13a 48 Stage IV Positive/positive Unknown Yes 3.5 years 3.5 years Not studied Not studied 
14 46 Stage IV Positive/positive Negative No 3 months  Neg Intraductal web 
15 68 Stage II Negative/negative Unknown No 13 years/4 months  Neg Negative 
16 63 Stage II Negative/negative Negative No 9 years/5 months  Neg Negative 

aA duct could not be identified.

Table 4.

Patients with breast cancer without prior systemic therapy.

SubjectAgeStage breast cancerER/PRHER2/neuCytologyDuctal endoscopy
33 Stage II Positive/positive Negative Negative Not done 
67 DCIS Negative/positive N/A Negative Intraduct web 
60 Stage II Positive/negative Negative Negative Negative 
51 DCIS Negative/negative N/A Negative Negative 
68 Stage II Positive/positive Positive Negative Negative 
61 Stage II Positive/positive Negative Atypia Negative 
46 Stage I Positive/positive Negative Mild atypia Negative 
65 Stage II Negative/negative Negative Negative Negative 
49 Stage I Positive/positive Negative Negative Negative 
10 47 Stage II Positive/positive Negative Negative Intraduct web 
11 45 Stage II Negative/negative Negative Negative Negative 
12 38 Stage II Positive/positive Positive Mild atypia Intraductal web 
13 39 Stage II Negative/positive Negative Negative Negative 
14 41 DCIS Positive/positive N/A Atypia Yellow deposit 
15 61 Stage II Positive/negative Negative Mild atypia Intraduct web 
16 51 Stage IV Positive/negative Negative Negative Negative 
17 61 DCIS Positive/positive Negative Negative Negative 
18 33 Stage II Positive/positive Positive Negative Negative 
19 43 Stage III Positive/positive Positive Negative Negative 
20 56 DCIS Positive/positive N/A Negative Intraduct web 
21 57 Stage I Positive/positive Positive Negative Negative 
22 44 Stage I Negative/positive Negative Negative Negative 
23 49 Stage II Negative/positive Negative Negative Intraductal web 
24 66 Stage III Positive/positive Positive Negative Negative 
25 71 Stage I Positive/positive Negative Mild atypia Negative 
26 46 Stage II Positive/positive Negative Mild atypia Negative 
27 50 Stage II Positive/positive Positive Mild atypia Intraductal web 
28 49 Stage I Negative/negative Negative Negative Not done 
29 45 Stage I Positive/positive Negative Negative Not done 
30 49 DCIS Positive/positive N/A Negative Not done 
SubjectAgeStage breast cancerER/PRHER2/neuCytologyDuctal endoscopy
33 Stage II Positive/positive Negative Negative Not done 
67 DCIS Negative/positive N/A Negative Intraduct web 
60 Stage II Positive/negative Negative Negative Negative 
51 DCIS Negative/negative N/A Negative Negative 
68 Stage II Positive/positive Positive Negative Negative 
61 Stage II Positive/positive Negative Atypia Negative 
46 Stage I Positive/positive Negative Mild atypia Negative 
65 Stage II Negative/negative Negative Negative Negative 
49 Stage I Positive/positive Negative Negative Negative 
10 47 Stage II Positive/positive Negative Negative Intraduct web 
11 45 Stage II Negative/negative Negative Negative Negative 
12 38 Stage II Positive/positive Positive Mild atypia Intraductal web 
13 39 Stage II Negative/positive Negative Negative Negative 
14 41 DCIS Positive/positive N/A Atypia Yellow deposit 
15 61 Stage II Positive/negative Negative Mild atypia Intraduct web 
16 51 Stage IV Positive/negative Negative Negative Negative 
17 61 DCIS Positive/positive Negative Negative Negative 
18 33 Stage II Positive/positive Positive Negative Negative 
19 43 Stage III Positive/positive Positive Negative Negative 
20 56 DCIS Positive/positive N/A Negative Intraduct web 
21 57 Stage I Positive/positive Positive Negative Negative 
22 44 Stage I Negative/positive Negative Negative Negative 
23 49 Stage II Negative/positive Negative Negative Intraductal web 
24 66 Stage III Positive/positive Positive Negative Negative 
25 71 Stage I Positive/positive Negative Mild atypia Negative 
26 46 Stage II Positive/positive Negative Mild atypia Negative 
27 50 Stage II Positive/positive Positive Mild atypia Intraductal web 
28 49 Stage I Negative/negative Negative Negative Not done 
29 45 Stage I Positive/positive Negative Negative Not done 
30 49 DCIS Positive/positive N/A Negative Not done 

Abbreviations: DCIS, ductal carcinoma in situ; N/A, HER2/neu not determined.

Table 5.

Characteristics of high-risk and normal-risk subjects.

Characteristics of high-risk and normal-risk subjects.
Characteristics of high-risk and normal-risk subjects.

BDE

BDE was performed in 89 subjects to define the ductal architectural changes associated with risk and atypia. For the first 84 subjects BDE was performed following BDL. Thereafter, because of the absence of abnormal endoscopic findings in the majority of subjects, BDE was offered for further evaluation only to subjects with atypical epithelial changes on cytologic review at the initial BDL; this included five additional subjects. Overall, structural abnormalities of the ducts were noted in 23 subjects (25.8%; Table 6). In all cases, these abnormalities were considered to be benign, principally intraductal webbing/fibrous stranding across the ductal lumen. The intraductal webs were present in the major duct as well as in ductal branches. In three high-risk subjects, yellow friable deposits were noted on the ductal wall which were nonvascular and easily dispersed; two of the three subjects with yellow deposits also had intraductal webbing in the duct. Almost all (91.3%) of the ductal abnormalities were found in the high-risk subjects, with only two normal-risk subjects having intraductal webbing in their ducts (P2 = 0.0002), and no other abnormalities. A suspicious lesion, either atypical hyperplasia (ADH or ALH) or carcinoma (DCIS or invasive carcinoma) was not seen in any normal-risk or high-risk subject. There were no postoperative complications from either the ductal lavage or ductal endoscopy procedures.

Table 6.

Ductal endoscopy findings.

CategoryN
Subjects endoscoped 89 subjects 
 Normal risk 37 (41.6) 
 High-risk 52 (58.4) 
Endoscopic findings 89 
 Normal duct 66 (74.2) 
 Intraductal webbing/fibrous stranding 20 (22.5) 
 Benign yellow friable deposits 3 (3.4) 
Endoscopic findings according to risk 
 Normal risk 37 subjects 
  Negative 35 (94.6) 
  Intraductal webbing/fibrous stranding 2 (5.4) 
  Benign yellow friable deposits 0 (0.0) 
 High-risk 52 subjects 
  Negative 31 (59.6) 
  Intraductal webbing/fibrous stranding 18 (34.6) P2 = 0.0002 vs. normal risk 
  Benign yellow friable deposits 3 (5.8) endoscopic findings 
Endoscopic findings according to atypia 
 Normal risk with atypia 10 subjects 
  Negative 9 (90.0) 
  Intraductal webbing/fibrous stranding 1 (10.0) 
  Benign yellow friable deposits 0 (0.0) 
 High-risk with atypia 16 subjects 
  Negative 8 (50.0) 
  Intraductal webbing/fibrous stranding 6 (37.5) 
  Benign yellow friable deposits 2 (12.5) 
Endoscopic findings according to no atypia 
 Normal risk without atypia 27 subjects 
  Negative 26 (96.3) 
  Intraductal webbing/fibrous stranding 1 (3.7) 
  Benign yellow friable deposits 0 (0.0) 
 High-risk without atypia 36 subjects 
  Negative 23 (63.9) 
  Intraductal webbing/fibrous stranding 12 (33.3) 
  Benign yellow friable deposits 1 (2.8) 
CategoryN
Subjects endoscoped 89 subjects 
 Normal risk 37 (41.6) 
 High-risk 52 (58.4) 
Endoscopic findings 89 
 Normal duct 66 (74.2) 
 Intraductal webbing/fibrous stranding 20 (22.5) 
 Benign yellow friable deposits 3 (3.4) 
Endoscopic findings according to risk 
 Normal risk 37 subjects 
  Negative 35 (94.6) 
  Intraductal webbing/fibrous stranding 2 (5.4) 
  Benign yellow friable deposits 0 (0.0) 
 High-risk 52 subjects 
  Negative 31 (59.6) 
  Intraductal webbing/fibrous stranding 18 (34.6) P2 = 0.0002 vs. normal risk 
  Benign yellow friable deposits 3 (5.8) endoscopic findings 
Endoscopic findings according to atypia 
 Normal risk with atypia 10 subjects 
  Negative 9 (90.0) 
  Intraductal webbing/fibrous stranding 1 (10.0) 
  Benign yellow friable deposits 0 (0.0) 
 High-risk with atypia 16 subjects 
  Negative 8 (50.0) 
  Intraductal webbing/fibrous stranding 6 (37.5) 
  Benign yellow friable deposits 2 (12.5) 
Endoscopic findings according to no atypia 
 Normal risk without atypia 27 subjects 
  Negative 26 (96.3) 
  Intraductal webbing/fibrous stranding 1 (3.7) 
  Benign yellow friable deposits 0 (0.0) 
 High-risk without atypia 36 subjects 
  Negative 23 (63.9) 
  Intraductal webbing/fibrous stranding 12 (33.3) 
  Benign yellow friable deposits 1 (2.8) 

The relationship of ductal endoscopic abnormalities to atypia was determined. Twenty-six of 34 subjects with atypia (eight subjects declined endoscopy, all normal risk), and 63 subjects without atypia, were studied (Table 6). Among the normal-risk subjects with or without atypia, only one case of intraductal webbing was noted in each group for an incidence of 10.0% and 3.7%, respectively. Among the high-risk subjects, ductal endoscopy revealed intraductal webs in 37.5% of subjects with atypia and in 33.3% of subjects without atypia (Table 6).

We then examined the relationship of intraductal abnormalities among high-risk subjects according to the presence or absence of a prior breast cancer and prior systemic therapy in a manner analogous to that for atypia (see above and Tables 3,Table 45). This revealed that the ductal endoscopic abnormalities were more common in the high-risk groups than in normal-risk women whether you included all prior breast cancer women with systemic therapy (P2 = 0.0002), or excluded subjects receiving chemotherapy within the last 5 years and excluded tamoxifen (P2 = 0.0083), or excluded all (16) breast cancer subjects with any prior systemic therapy (P2 = 0.0467; Table 5). The ductal abnormalities in high-risk subjects (principally intraductal webbing) may thus occur independently of prior systemic therapy. It was also noted that, among the high-risk subjects, almost all (20/21, 95.2%) of the intraductal abnormalities occurred in women with a prior breast cancer in the opposite breast (Table 5).

MRI was recommended for further evaluation in all subjects with atypia and was performed in 27 subjects [seven subjects did not have MRI, five for technical reasons (implanted metallic devices, body size), and two declined]. MRI demonstrated abnormalities in five subjects, two of which were in high-risk subjects—one case of invasive breast carcinoma and one case of ductal hyperplasia. Three cases of benign abnormalities were found in normal-risk subjects with atypia (fat necrosis, fibrocystic disease, fibroadenoma).

Gene expression profiling of ductal cells

We conducted microarray gene expression analysis on 29 ductal cellular samples, 16 normal risk (9 without atypia and 7 with atypia) and 13 high-risk (8 without atypia and 5 with atypia) to further define the molecular profile associated with risk and atypia. Samples within the respective risk groups for atypia/no atypia were matched according to age and risk. All subjects in the gene expression groups were premenopausal. We performed unsupervised hierarchical clustering of normalized data of all samples. We did not identify any separation of the sample groups (normal risk vs. high-risk, or atypia vs. nonatypia) according to expression of subgroups of genes. This is illustrated in the heat map of gene expression (Supplementary Fig S1). We then conducted gene expression enrichment analysis of our samples using three relevant gene signature sets from the MSigDB Collections, GSEA: Cp (canonical pathways, 1,329 gene sets), cancer gene neighborhoods (427 gene sets), and C6 (oncogenic signatures, 189 gene sets). Together this supervised analysis represented a broad array of genes and gene sets involved in cellular metabolism and cancer-related processes. We looked for differences on a gene-by-gene basis in the normal-risk versus high-risk groups and in the atypia versus no atypia groups. We found no gene signatures differentially expressed or enriched for either the normal-risk versus high-risk subjects or subjects with atypia versus those without atypia beyond what we would expect by chance alone (FDR > 0.5).

Roman-Perez and colleagues (24) and Troester and colleagues (25), in recent reports, identified two gene expression subgroups in normal breast tissue at high risk (breast tissue adjacent to cancer)—an Active subgroup associated with overall survival, and an Inactive subgroup. We obtained the set of genes described in the Roman-Perez and colleagues (24) report that distinguished Active from Inactive microenvironment and applied these to our samples. We conducted unsupervised hierarchical clustering of normalized results using the 3,518 genes of the Active/Inactive gene list (Supplementary Table S1; ref. 24), which we filtered from the composite Affymetrix microarray gene list. The heat map of this clustering is illustrated in Supplementary Fig S2. To further clarify the expression of Active and Inactive gene sets in our samples, we aligned the heat map with a separate column of fold change between the Active and Inactive groups as observed by Roman-Perez and colleagues (24), with red indicating genes higher in the active tumors and green indicating genes higher in the inactive tumors. We did not see any clear separation of the high-risk versus normal risk groups, or atypia versus nonatypia groups in our samples according to the Active/Inactive gene sets. We then conducted signature enrichment analysis of our samples using the Active/Inactive gene sets. We did not find any evidence of gene enrichment for the Active sample in either the high risk or the atypia samples. We did observe enrichment of genes of the Inactive gene set among those with higher expression in the high-risk group than the low-risk group (P = 0.0322; Supplementary Fig S3, K–S plot), but not in relation to atypia.

Follow-up of subjects with atypia

On follow-up with a median of 4 years, 4 months (range, 2 months–15 years/5 months) among all subjects with atypia, one high-risk subject with atypia, a 69-year-old woman with a previous ipsilateral breast cancer, developed an infiltrating carcinoma in the contralateral breast (i.e., the breast that was studied) at 13 years, 3 months. There were no normal-risk subjects with atypia who developed breast cancer on follow-up, and no subjects with atypia, either normal risk or high risk, who developed ADH or ALH on follow-up.

This study examined in a comprehensive manner the cytologic, ductal architectural, and gene expression profiling characteristics of the breast ducts and ductal epithelium in women at normal risk and at high risk for sporadic breast cancer, and with or without cytologic ductal atypia. This is the first study to examine these characteristic in normal risk subjects. We found cytologic atypia to be present in women at normal risk and at an incidence comparable to that for women at high risk. Studies have previously shown that ductal atypia in high-risk women is associated with an increased risk for breast cancer (8, 9), raising the possibility that atypia in normal-risk women may also be of prognostic significance. We found, however, that atypia did not correlate with family history or TC risk among the respective normal-risk subjects, was not associated with differentially expressed genes on gene expression profiling, was associated with only minimal benign intraductal abnormalities on endoscopy, and was not associated with suspicious breast abnormalities on MRI or on follow-up. Together, these findings indicate that in women at normal risk for breast cancer, ductal atypia does not appear to be of clinical significance.

In women at high risk, atypia was present at an incidence in agreement with other published series of high-risk women (Supplementary Table S1). Atypia is thus not an uncommon finding in women at high risk, and occurs across a range of risk groups and conditions. The ducts of women at high risk were characterized by the presence of intraductal webbing/fibrous stranding and two cases of invasive ductal carcinoma. The incidence of intraductal webbing in subjects at high risk with atypia was comparable to high-risk subjects without atypia, which suggests that the factors contributing to this abnormality are not necessarily those responsible for the atypia, and that this abnormality may relate principally to the high-risk status. The presence of benign and suspicious abnormalities by ductoscopy and MRI in women at high-risk with atypia has been observed in other series (Supplementary Tables S2 and S3). Among all series the overall incidence of ductal abnormalities was 33.1%. Many of these abnormalities were proliferative in nature (radial scar, hyperplasia, papilloma, intraductal webbing, sclerosing adenosis, ADH, DCIS), suggesting a dynamic component associated with these high-risk breast tissues. A striking finding in our study was the presence of intraductal webbing in the high risk breast, which suggests a past history of chronic inflammation. This condition has well established immunosuppressive properties (26, 27) and may influence immunosurveillance by the intraepithelial lymphocytes, an important component of ductal epithelium (28, 29). Chronic inflammation is a well-known cause of cancer (27), and it is reasonable to propose that in these ducts/ductal epithelium already at high risk for breast cancer, that the presence of chronic inflammation could contribute to the carcinogenesis. There are several factors which might be responsible for this chronic inflammation. Multiple studies have confirmed the presence of a microbiome in breast tissues, including normal breast tissue and breast ductal fluid (30–32). The microorganisms could contribute to chronic inflammation through activation of macrophages (33), and activation of CD4+ T cells to form Th1 and Th17 T cells (34), both with release of proinflammatory cytokines and chemokines. Obesity is an important cause of chronic inflammation (35), as are somatic mutations and environmental factors, and cell injury and necrosis with release of damage-associated molecular patterns (34). The intraductal webbing in high-risk women was almost entirely in women with a cancer in the opposite breast. It has been reported that chronic inflammation is often present in primary cancers and is associated with proinflammatory cytokines including IL6 and IL17 (36). High levels of the cytokines IL6 and IL17 are also present in the sera of women with breast cancer (37, 38), thus placing them in the position to potentially promote chronic inflammation in the contralateral breast. Although speculative, if this supposition is correct it would suggest an important example of the ability of a primary breast cancer to influence the biology of the opposite breast.

When we studied global gene expression profiling in women with and without atypia, we did not identify any differentially expressed genes between the two groups. These findings are in agreement with Ma and colleagues (39) who found that normal breast cells associated with atypical ductal hyperplasia (and thus associated with both atypia and with high risk) do not contain genes differentially expressed from normal-risk breast tissue. A comparison of the global gene expression profiles from women at high risk to those at normal risk in our study also did not reveal any significantly differentially expressed genes. This would indicate that the structural abnormalities which have been observed in the high-risk ducts are not reflected in gene expression profiles. It is of interest that gene expression analysis of the Inactive subtype of normal breast tissue described by Roman-Perez and colleagues (24), when studied in our subjects, did show increased activity in the high-risk group. These genes are associated with claudins, adhesions, and differentiation. Claudins are proteins associated with tight junctions and control the flow of molecules in the intercellular space between epithelial cells. The downregulation of several claudins in cancer has been considered consistent with the disruption of tight junctions during tumorigenesis (40). The increased expression of these genes in the breast ductal cells might suggest a protective function in our high-risk subjects.

It is recognized there may also be several reasons why differentially expressed genes were not identified by gene expression profiling in samples from subjects at high risk or with atypia: (i) the sample size was small; (ii) the differences we were looking for were a small subgroup of genes; (iii) the population both within and between groups was heterogeneous according to underlying genomic changes and cellular composition, with ductal cell populations including epithelial cells, immune cells, and the microbiome (28, 29); (iv) the high-risk and normal-risk groups and the atypia and non-atypia groups may not represent pure subgroups to allow identification of gene signatures which have different expression; this possibility is exemplified by the recent finding, using scRNAseq, of three distinct epithelial cell populations in normal breast tissue (41); (v) the analysis may involve multiple proportions; (vi) widespread gene expression changes of some populations of normal breast cells may not occur until later in the carcinogenic pathway. Several reports have identified differentially expressed genes between normal breast tissue adjacent to cancer (NABT) and reduction mammoplasty tissues (42–44). NABT is at very high risk for breast tissue (RR = 12.0–15.0-fold increased risk; ref. 45). Our subjects, on the other hand, had a RR of 2.0- to 4.6-fold, which is consistent with the risk of normal breast tissue of most high-risk (for sporadic breast cancer) subjects. It is thus possible that prominent gene expression profiling changes are not observed until higher risk levels than those of our subjects are reached.

Several limitations to the study are noted: (i) A single duct was usually sampled in the normal-risk and high-risk subjects, however multiple samples were taken of each duct, providing more complete sampling of that duct. Examination of two or more ducts, and both breasts, might be considered in the future. (ii) The follow-up was short, and the evaluation with MRI was limited to the subjects with atypia; the incidence of development of breast carcinoma in the subjects without atypia is not known. (iii) We acknowledge that the study was not designed to determine the true incidence of breast cancer in the normal-risk or the high-risk subjects, which would require a much larger patient population. (iv) The sample size for gene expression studies and for determination of ductal characteristics on follow-up was small.

Cytologic atypia of the breast ductal epithelium is present in women at normal risk and at high risk for sporadic breast cancer. Evidence indicates that atypia in the normal risk ducts is not of clinical significance. Multiple ductal abnormalities, both benign and suspicious, are present in the breast ducts at high risk with atypia and are frequently proliferative and may include lesions at increased risk, at high risk, or in situ or invasive breast cancer. These changes indicate a dynamic nature to the biology of high-risk ducts with atypia. Gene expression profiles of high-risk ductal cells, including those with atypia, may not reflect these ductal characteristics. Analysis of chronic inflammatory changes in the high-risk duct will be an important subject for future studies.

No potential conflicts of interest were disclosed.

D.N. Danforth: Conceptualization, resources, data curation, formal analysis, supervision, validation, investigation, methodology, writing-original draft, project administration, writing-review and editing. A.C. Filie: Conceptualization, resources, formal analysis, validation, investigation, methodology, writing-original draft, writing-review and editing. A.C. Warner: Resources, investigation, methodology, writing-original draft, writing-review and editing. G.W. Wright: Formal analysis, validation, investigation, methodology, writing-original draft, writing-review and editing. Z. Sun: Resources, investigation, methodology, writing-original draft, writing-review and editing. T. Ried: Conceptualization, formal analysis, methodology, writing-original draft, writing-review and editing. C.T. McGowan: Project administration, writing-review and editing. S.A. Prindiville: Conceptualization, writing-original draft, writing-review and editing.

This research was supported by the Intramural Research Program, Center for Cancer Research, NCI, NIH, Bethesda, MD. The project has been funded in whole or in part with Federal funds from the NCI, NIH, under Contract No. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
American Cancer Society
. 
Breast cancer facts and figures 2017–2018
.
2.
Dooley
WC
,
Ljung
BM
,
Veronesi
U
,
Cazzaniga
M
,
Elledge
RM
,
O'Shaughnessy
JA
, et al
Ductal lavage for detection of cellular atypia in women at high risk for breast cancer
.
J Natl Cancer Inst
2001
;
93
:
1624
32
.
3.
Fisher
B
,
Costantino
JP
,
Wickerham
DL
,
Cecchini
RS
,
Cronin
WM
,
Robidoux
A
, et al
Tamoxifen for the prevention of breast cancer: current status of the National Surgical Adjuvant Breast and Bowel Project P-1 study
.
J Natl Cancer Inst
2005
;
97
:
1652
62
.
4.
Lewis
CM
,
Cler
LR
,
Bu
DW
,
Zochbauer-Muller
S
,
Milchgrub
S
,
Naftalis
EZ
, et al
Promoter hypermethylation in benign breast epithelium in relation to predicted breast cancer risk
.
Clin Cancer Res
2005
;
11
:
166
72
.
5.
Morrow
M
. 
Identification of the woman at risk for breast cancer: problem solved?
Recent Results Cancer Res
1999
;
151
:
85
95
.
6.
Hollingsworth
AB
,
Nall
S
,
Dill
D
. 
The evolution of breast cancer risk assessment
.
J Okla State Med Assoc
2002
;
95
:
639
44
.
7.
Hartman
AR
,
Daniel
BL
,
Kurian
AW
,
Mills
MA
,
Nowels
KW
,
Dirbas
FM
, et al
Breast magnetic resonance image screening and ductal lavage in women at high genetic risk for breast carcinoma
.
Cancer
2004
;
100
:
479
89
.
8.
Wrensch
M
,
Petrakis
NL
,
King
EB
,
Lee
MM
,
Miike
R
. 
Breast cancer risk associated with abnormal cytology in nipple aspirates of breast fluid and prior history of breast biopsy
.
Am J Epidemiol
1993
;
137
:
829
33
.
9.
Fabian
CJ
,
Kimler
BF
,
Zalles
CM
,
Klemp
JR
,
Kamel
S
,
Zeiger
S
, et al
Short-term breast cancer prediction by random periareolar fine-needle aspiration cytology and the Gail risk model
.
J Natl Cancer Inst
2000
;
92
:
1217
27
.
10.
Cyr
AE
,
Margenthaler
JA
,
Conway
J
,
Rastelli
AL
,
Davila
RM
,
Gao
F
, et al
Correlation of ductal lavage cytology with ductoscopy-directed duct excision histology in women at high risk for developing breast cancer: a prospective, single-institution trial
.
Ann Surg Oncol
2011
;
18
:
3192
7
.
11.
Carruthers
CD
,
Chapleskie
LA
,
Flynn
MB
,
Frazier
TG
. 
The use of ductal lavage as a screening tool in women at high risk for developing breast carcinoma
.
Am J Surg
2007
;
194
:
463
6
.
12.
Bushnaq
ZI
,
Ashfaq
R
,
Leitch
AM
,
Euhus
D
. 
Patient variables that predict atypical cytology by nipple duct lavage
.
Cancer
2007
;
109
:
1247
54
.
13.
Maddux
AJ
,
Ashfaq
R
,
Naftalis
E
,
Leitch
AM
,
Hoover
S
,
Euhus
D
. 
Patient and duct selection for nipple duct lavage
.
Am J Surg
2004
;
188
:
390
4
.
14.
Johnson-Maddux
A
,
Ashfaq
R
,
Cler
L
,
Naftalis
E
,
Leitch
AM
,
Hoover
S
, et al
Reproducibility of cytologic atypia in repeat nipple duct lavage
.
Cancer
2005
;
103
:
1129
36
.
15.
Howlader
NN
,
Noone
AM
,
Krapcho
M
,
Garshell
J
,
Miller
D
,
Altekruse
SF
, et al
(Eds).
SEER Cancer Statistics Review 1975–2012
. https://seer.cancer.gov/archive/csr/1975_2012/; 
2015
.
16.
Danforth
DN
,
Warner
AC
,
Wangsa
D
,
Ried
T
,
Duelli
D
,
Filie
AC
, et al
An improved breast epithelial sampling method for molecular profiling and biomarker analysis in women at risk for breast cancer
.
Breast Cancer
2015
;
9
:
31
40
.
17.
Danforth
DN
 Jr
,
Abati
A
,
Filie
A
,
Prindiville
SA
,
Palmieri
D
,
Simon
R
, et al
Combined breast ductal lavage and ductal endoscopy for the evaluation of the high-risk breast: a feasibility study
.
J Surg Oncol
2006
;
94
:
555
64
.
18.
The uniform approach to breast fine-needle aspiration biopsy. NIH consensus development conference
.
Am J Surg
1997
;
174
:
371
85
.
19.
Khan
SA
,
Wiley
EL
,
Rodriguez
N
,
Baird
C
,
Ramakrishnan
R
,
Nayar
R
, et al
Ductal lavage findings in women with known breast cancer undergoing mastectomy
.
J Natl Cancer Inst
2004
;
96
:
1510
7
.
20.
Patil
DB
,
Lankes
HA
,
Nayar
R
,
Masood
S
,
Bryk
M
,
Hou
N
, et al
Reproducibility of ductal lavage cytology and cellularity over a six month interval in high risk women
.
Breast Cancer Res Treat
2008
;
112
:
327
33
.
21.
Abati
A
,
Greene
MH
,
Filie
A
,
Loud
J
,
Prindiville
S
,
Danforth
D
, et al
Quantification of the cellular components of breast duct lavage samples
.
Diagn Cytopathol
2006
;
34
:
78
81
.
22.
Subramanian
A
,
Tamayo
P
,
Mootha
VK
,
Mukherjee
S
,
Ebert
BL
,
Gillette
MA
, et al
Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles
.
Proc Natl Acad Sci U S A
2005
;
102
:
15545
50
.
23.
Benjamini
Y
,
Hochberg
Y
. 
Controlling the false discovery rate: a pratical and powerful approach to multiple testing
.
J R Stat Soc Ser B
1995
;
57
:
289
300
.
24.
Roman-Perez
E
,
Casbas-Hernandez
P
,
Pirone
JR
,
Rein
J
,
Carey
LA
,
Lubet
RA
, et al
Gene expression in extratumoral microenvironment predicts clinical outcome in breast cancer patients
.
Breast Cancer Res
2012
;
14
:
R51
.
25.
Troester
MA
,
Hoadley
KA
,
D'Arcy
M
,
Cherniack
AD
,
Stewart
C
,
Koboldt
DC
, et al
DNA defects, epigenetics, and gene expression in cancer-adjacent breast: a study from The Cancer Genome Atlas
.
NPJ Breast Cancer
2016
;
2
:
16007
.
26.
Baniyash
M
. 
Chronic inflammation, immunosuppression and cancer: new insights and outlook
.
Semin Cancer Biol
2006
;
16
:
80
8
.
27.
Grivennikov
SI
,
Greten
FR
,
Karin
M
. 
Immunity, inflammation, and cancer
.
Cell
2010
;
140
:
883
99
.
28.
Degnim
AC
,
Brahmbhatt
RD
,
Radisky
DC
,
Hoskin
TL
,
Stallings-Mann
M
,
Laudenschlager
M
, et al
Immune cell quantitation in normal breast tissue lobules with and without lobulitis
.
Breast Cancer Res Treat
2014
;
144
:
539
49
.
29.
Zumwalde
NA
,
Haag
JD
,
Sharma
D
,
Mirrielees
JA
,
Wilke
LG
,
Gould
MN
, et al
Analysis of immune cells from human mammary ductal epithelial organoids reveals Vdelta2+ T cells that efficiently target breast carcinoma cells in the presence of bisphosphonate
.
Cancer Prev Res
2016
;
9
:
305
16
.
30.
Urbaniak
C
,
Gloor
GB
,
Brackstone
M
,
Scott
L
,
Tangney
M
,
Reid
G
. 
The microbiota of breast tissue and its association with breast cancer
.
Appl Environ Microbiol
2016
;
82
:
5039
48
.
31.
Hieken
TJ
,
Chen
J
,
Hoskin
TL
,
Walther-Antonio
M
,
Johnson
S
,
Ramaker
S
, et al
The microbiome of aseptically collected human breast tissue in benign and malignant disease
.
Sci Rep
2016
;
6
:
30751
.
32.
Chan
AA
,
Bashir
M
,
Rivas
MN
,
Duvall
K
,
Sieling
PA
,
Pieber
TR
, et al
Characterization of the microbiome of nipple aspirate fluid of breast cancer survivors
.
Sci Rep
2016
;
6
:
28061
.
33.
Karin
M
,
Greten
FR
. 
NF-kappaB: linking inflammation and immunity to cancer development and progression
.
Nat Rev Immunol
2005
;
5
:
749
59
.
34.
Mills
KH
. 
TLR-dependent T cell activation in autoimmunity
.
Nat Rev Immunol
2011
;
11
:
807
22
.
35.
Chen
SI
,
Hsieh
CC
. 
Why are women with obesity more likely to develop breast cancer
.
Future Oncol
2018
;
14
:
1523
6
.
36.
Lin
WW
,
Karin
M
. 
A cytokine-mediated link between innate immunity, inflammation, and cancer
.
J Clin Invest
2007
;
117
:
1175
83
.
37.
Lyon
DE
,
McCain
NL
,
Walter
J
,
Schubert
C
. 
Cytokine comparisons between women with breast cancer and women with a negative breast biopsy
.
Nurs Res
2008
;
57
:
51
8
.
38.
Ayari
JB
,
Ammar
SH
,
Balti
M
,
Azais
MB
,
Zribi
A
,
Fendri
S
, et al
Prognostic value of circulating cytokines in breast cancer: a prospective study in sixty breast cancer patients in Tunisia
.
J Clin Oncol
2019
;
37
:
e12592
.
39.
Ma
XJ
,
Salunga
R
,
Tuggle
JT
,
Gaudet
J
,
Enright
E
,
McQuary
P
, et al
Gene expression profiles of human breast cancer progression
.
Proc Natl Acad Sci U S A
2003
;
100
:
5974
9
.
40.
Kwon
MJ
. 
Emerging roles of claudins in human cancer
.
Int J Mol Sci
2013
;
14
:
18148
80
.
41.
Nguyen
QH
,
Pervolarakis
N
,
Blake
K
,
Ma
D
,
Davis
RT
,
James
N
, et al
Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity
.
Nat Commun
2018
;
9
:
2028
.
42.
Graham
K
,
de las
MA
,
Tripathi
A
,
King
C
,
Kavanah
M
,
Mendez
J
, et al
Gene expression in histologically normal epithelium from breast cancer patients and from cancer-free prophylactic mastectomy patients shares a similar profile
.
Br J Cancer
2010
;
102
:
1284
93
.
43.
Tripathi
A
,
King
C
,
de la
MA
,
Perry
VK
,
Burke
B
,
Antoine
GA
, et al
Gene expression abnormalities in histologically normal breast epithelium of breast cancer patients
.
Int J Cancer
2008
;
122
:
1557
66
.
44.
Radovich
M
,
Clare
SE
,
Atale
R
,
Pardo
I
,
Hancock
BA
,
Solzak
JP
, et al
Characterizing the heterogeneity of triple-negative breast cancers using microdissected normal ductal epithelium and RNA-sequencing
.
Breast Cancer Res Treat
2014
;
143
:
57
68
.
45.
Marks
LB
,
Prosnitz
LR
. 
Lumpectomy with and without radiation for early-stage breast cancer and DCIS
.
Oncology
1997
;
11
:
1361
8
,
71; discussion 72, 74
.
46.
Valdes
EK
,
Boolbol
SK
,
Cohen
JM
,
Balassanian
R
,
Feldman
SM
. 
Clinical experience with mammary ductoscopy
.
Ann Surg Oncol
2016
;
23
:
9015
9
.