1
|
Mburu W, Guo C, Tian Y, Koka H, Fu S, Lu N, Li E, Li J, Cora R, Chan A, Guida JL, Sung H, Gierach GL, Abubakar M, Yu K, Yang XR. Associations between quantitative measures of mammographic density and terminal ductal lobular unit involution in Chinese breast cancer patients. Breast Cancer Res 2024; 26:116. [PMID: 39010116 PMCID: PMC11247848 DOI: 10.1186/s13058-024-01856-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 06/06/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Higher mammographic density (MD), a radiological measure of the proportion of fibroglandular tissue in the breast, and lower terminal duct lobular unit (TDLU) involution, a histological measure of the amount of epithelial tissue in the breast, are independent breast cancer risk factors. Previous studies among predominantly white women have associated reduced TDLU involution with higher MD. METHODS In this cohort of 611 invasive breast cancer patients (ages 23-91 years [58.4% ≥ 50 years]) from China, where breast cancer incidence rates are lower and the prevalence of dense breasts is higher compared with Western countries, we examined the associations between TDLU involution assessed in tumor-adjacent normal breast tissue and quantitative MD assessed in the contralateral breast obtained from the VolparaDensity software. Associations were estimated using generalized linear models with MD measures as the outcome variables (log-transformed), TDLU measures as explanatory variables (categorized into quartiles or tertiles), and adjusted for age, body mass index, parity, age at menarche and breast cancer subtype. RESULTS We found that, among all women, percent dense volume (PDV) was positively associated with TDLU count (highest tertile vs. zero: Expbeta = 1.28, 95% confidence interval [CI] 1.08-1.51, ptrend = < .0001), TDLU span (highest vs. lowest tertile: Expbeta = 1.23, 95% CI 1.11-1.37, ptrend = < .0001) and acini count/TDLU (highest vs. lowest tertile: Expbeta = 1.22, 95% CI 1.09-1.37, ptrend = 0.0005), while non-dense volume (NDV) was inversely associated with these measures. Similar trend was observed for absolute dense volume (ADV) after the adjustment of total breast volume, although the associations for ADV were in general weaker than those for PDV. The MD-TDLU associations were generally more pronounced among breast cancer patients ≥ 50 years and those with luminal A tumors compared with patients < 50 years and with luminal B tumors. CONCLUSIONS Our findings based on quantitative MD and TDLU involution measures among Chinese breast cancer patients are largely consistent with those reported in Western populations and may provide additional insights into the complexity of the relationship, which varies by age, and possibly breast cancer subtype.
Collapse
Affiliation(s)
- Waruiru Mburu
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Changyuan Guo
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yuan Tian
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hela Koka
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Sheng Fu
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Ning Lu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Erni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jing Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Renata Cora
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Ariane Chan
- Volpara Health Technologies Ltd, Wellington, New Zealand
- Institute of Environmental Science and Research, Porirua, GA, 5022, New Zealand
| | - Jennifer L Guida
- Division of Cancer Control and Population Sciences, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Hyuna Sung
- Surveillance and Health Equity Science, American Cancer Society, Atlanta, GA, 30303, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
| |
Collapse
|
2
|
Bennett DL, Buckley A, Lee MV. Fibrocystic Change. Radiol Clin North Am 2024; 62:581-592. [PMID: 38777535 DOI: 10.1016/j.rcl.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Fibrocystic changes are commonly seen in clinically symptomatic patients and during imaging workup of screening-detected findings. The term "fibrocystic changes" encompasses a broad spectrum of specific benign pathologic entities. Recognition of classically benign findings of fibrocystic changes, including cysts and layering calcifications, can prevent unnecessary follow-ups and biopsies. Imaging findings such as solid masses, nonlayering calcifications, and architectural distortion may require core needle biopsy for diagnosis. In these cases, understanding the varied appearances of fibrocystic change aids determination of radiologic-pathologic concordance. Management of fibrocystic change is typically conservative.
Collapse
Affiliation(s)
- Debbie L Bennett
- Department of Breast Imaging, Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Boulevard, Box 8131, St Louis, MO, USA.
| | - Arianna Buckley
- Department of Breast Imaging, Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Boulevard, Box 8131, St Louis, MO, USA
| | - Michelle V Lee
- Department of Breast Imaging, Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, 510 South Kingshighway Boulevard, Box 8131, St Louis, MO, USA
| |
Collapse
|
3
|
Okafor UE, Itanyi UD, Garba SE, Yawe KDT. Comparison of the Ultrasonography Features of the Breast in Women with Fibroadenoma and Those with Other Breast Lumps. Niger Postgrad Med J 2024; 31:240-246. [PMID: 39219347 DOI: 10.4103/npmj.npmj_3_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 06/03/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Fibroadenoma (FA) is documented as the most common benign breast disease typically presenting as a lump. A wide variety of other diseases including breast cancer can similarly present as lumps hence the need for further differentiation. Ultrasonography plays a vital role in the evaluation and treatment of breast lumps with histological analysis as the gold standard. OBJECTIVE This study compared the physical and sonographic features of the breast in women with FA and women with breast lumps due to other diseases. MATERIALS AND METHODS This is a single-centre comparative study. Clinical and sonographic breast evaluations of the recruited patients with lumps were done and reported using the American College of Radiology Breast Imaging Reporting and Data System score. The lumps were biopsied, and histological diagnosis was documented. Clinical and imaging features of the breasts of women with FA were then compared with those of women with lumps from other breast diseases, and collated data were analysed using SPSS Statistical version 23.0. RESULTS Data from 118 subjects (59 in each group) were used for this study. There was a significant difference in the physical and sonographic appearance of FA concerning the patient's age, parity, change in lesion size, perilesional architecture, echogenicity, borders, capsule and background breast density. No FA was found in women with less dense breasts. CONCLUSION The sonographic features of breasts showed some differences from the corresponding features of FA and other breast lesions. This has the potential to increase the efficiency of pre-operative diagnosis of FA and could be further applied in developing diagnostic criteria for FA in our environment.
Collapse
|
4
|
Reis YN, Mota BS, Mota RMS, Shimizu C, Ricci MD, Aguiar FN, Soares-Jr JM, Baracat EC, Filassi JR. Pathological macroscopic evaluation of breast density versus mammographic breast density in breast cancer conserving surgery. Eur J Obstet Gynecol Reprod Biol X 2023; 20:100243. [PMID: 37780817 PMCID: PMC10539930 DOI: 10.1016/j.eurox.2023.100243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 09/10/2023] [Accepted: 09/22/2023] [Indexed: 10/03/2023] Open
Abstract
Correlation between imaging and anatomopathological breast density has been superficially explored and is heterogeneous in current medical literature. It is possible that mammographic and pathological findings are divergent. The aim of this study is to evaluate the association between breast density classified by mammography and breast density of pathological macroscopic examination in specimens of breast cancer conservative surgeries. Post-hoc, exploratory analysis of a prospective randomized clinical trial of patients with breast cancer candidates for breast conservative surgery. Breast mammographic density (MD) was analyzed according to ACR BI-RADS® criteria, and pathologic macroscopic evaluation of breast density (PMBD) was estimated by visually calculating the ratio between stromal and fatty tissue. From 412 patients, MD was A in 291 (70,6%), B in 80 (19,4%) B, C in 35 (8,5%), and D in 6 (1,5%). Ninety-nine percent (201/203) of patients classified as A+B in MD were correspondently classified in PMBD. Conversely, only 18.7% (39/209) of patients with MD C+D were classified correspondently in PMBD (p < 0.001). Binary logistic regression showed age (OR 1.06, 1.01-1.12 95% CI, p 0.013) and nulliparity (OR 0.39, 0.17-0.96 95% CI, p 0.039) as predictors of A+B PMBD. Conclusion Mammographic and pathologic macroscopic breast density showed no association in our study for breast C or D in breast image. The fatty breast was associated with older patients and the nulliparity decreases the chance of fatty breasts nearby 60%.
Collapse
Affiliation(s)
- Yedda Nunes Reis
- Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetricia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | - Bruna Salani Mota
- Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetricia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | | | - Carlos Shimizu
- Departamento de Radiologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP)/ ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | - Marcos Desiderio Ricci
- Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetricia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | - Fernando Nalesso Aguiar
- Departamento de Patologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | - José Maria Soares-Jr
- Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetricia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | - Edmund Chada Baracat
- Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetricia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| | - José Roberto Filassi
- Setor de Mastologia da Disciplina de Ginecologia do Departamento de Obstetricia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP) / ICESP – Instituto do Câncer do Estado de São Paulo, São Paulo, Brasil
| |
Collapse
|
5
|
Bai S, Song D, Chen M, Lai X, Xu J, Dong F. The association between mammographic density and breast cancer molecular subtypes: a systematic review and meta-analysis. Clin Radiol 2023; 78:622-632. [PMID: 37230842 DOI: 10.1016/j.crad.2023.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/27/2023]
Abstract
AIM To conduct a systematic review and meta-analysis to evaluate the whether high mammographic density (MD) is differentially associated with all subtypes of breast cancer. MATERIALS AND METHODS The PubMed, Cochrane Library, and Embase databases were searched systematically in October 2022 to include all studies that investigated the association between MD and breast cancer subtype. Aggregate data of 17,193 breast cancer cases from 23 studies were selected, including five cohort/case-control and 18 case-only studies. The relative risk (RR) of MD were combined using random/fixed effects models for case-control studies, and for case-only studies, relative risk ratios (RRRs) were a combination of luminal A, luminal B, and HER2-positive versus triple-negative tumours. RESULTS Women in the highest density category in case-control/cohort studies had a 2.24-fold (95% confidence interval [CI] 1.53, 3.28), 1.81-fold (95% CI 1.15, 2.85), 1.44-fold (95% CI 1.14, 1.81), and 1.59-fold (95% CI 0.89, 2.85) higher risk of triple-negative, HER-2 (human epidermal growth factor receptor 2) positive, luminal A, and luminal B breast cancer compared to women in the lowest density category. RRRs for breast tumours being luminal A, luminal B, and HER-2 positive versus triple-negative in case-only studies were 1.62 (95% CI 1.14, 2.31), 1.81 (95% CI 1.22, 2.71) and 2.58 (95% CI 1.63, 4.08), respectively, for BIRADS 4 versus BIRADS 1. CONCLUSION The evidence indicates MD is a potent risk factor for the majority of breast cancer subtypes to different degrees. Increased MD is more strongly linked to HER-2-positive cancers compared to other breast cancer subtypes. The application of MD as a subtype-specific risk marker may facilitate the creation of personalised risk prediction models and screening procedures.
Collapse
Affiliation(s)
- S Bai
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - D Song
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - M Chen
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - X Lai
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China
| | - J Xu
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
| | - F Dong
- Department of Ultrasound, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
| |
Collapse
|
6
|
Strickland S, Turashvili G. Are Columnar Cell Lesions the Earliest Non-Obligate Precursor in the Low-Grade Breast Neoplasia Pathway? Curr Oncol 2022; 29:5664-5681. [PMID: 36005185 PMCID: PMC9406596 DOI: 10.3390/curroncol29080447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Columnar cell lesions (CCLs) of the breast comprise a spectrum of morphologic alterations of the terminal duct lobular unit involving variably dilated and enlarged acini lined by columnar epithelial cells. The World Health Organization currently classifies CCLs without atypia as columnar cell change (CCC) and columnar cell hyperplasia (CCH), whereas flat epithelial atypia (FEA) is a unifying term encompassing both CCC and CCH with cytologic atypia. CCLs have been increasingly recognized in stereotactic core needle biopsies (CNBs) performed for the assessment of calcifications. CCLs are believed to represent the earliest non-obligate precursor of low-grade invasive breast carcinomas as they share molecular alterations and often coexist with entities in the low-grade breast neoplasia pathway. Despite this association, however, the risk of progression of CCLs to invasive breast carcinoma appears low and may not exceed that of concurrent proliferative lesions. As the reported upgrade rates of pure CCL/FEA when identified as the most advanced high-risk lesion on CNB vary widely, the management of FEA diagnosed on CNB remains controversial. This review will include a historical overview of CCLs and will examine histologic diagnostic criteria, molecular alterations, prognosis and issues related to upgrade rates and clinical management.
Collapse
Affiliation(s)
- Sarah Strickland
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON K1N 6N5, Canada
| | - Gulisa Turashvili
- Department of Pathology and Laboratory Medicine, Emory University Hospital, Emory University School of Medicine, Atlanta, GA 30322, USA
- Correspondence:
| |
Collapse
|
7
|
Aarestrup J, Jensen BW, Pedersen DC, Kroman N, Mellemkjær L, Baker JL, Bjerregaard LG. Early life body size, pubertal timing, and risks of benign breast disease in a large cohort of Danish female adolescents and women. Eur J Pediatr 2022; 181:3023-3030. [PMID: 35652986 DOI: 10.1007/s00431-021-04363-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/21/2021] [Accepted: 12/24/2021] [Indexed: 11/29/2022]
Abstract
A high childhood body mass index (BMI) may be protective against benign breast disease (BBD), but little is known about the effects of other early life body size measures. Thus, we examined associations between birthweight, childhood BMI, height, and pubertal timing and BBD risks. We included 171,272 girls, born from 1930 to 1996, from the Copenhagen School Health Records Register, which contains information on birthweight, childhood anthropometry (7-13 years), age at onset of the growth spurt (OGS), and peak height velocity (PHV). During follow-up, 9361 BBD cases (15-50 years) were registered in the Danish National Patient Register. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated by Cox regressions. At all childhood ages, BMI was inversely but non-linearly associated with BBD. The association was slightly stronger in magnitude for BMI z-scores above 0 (HRage 7 = 0.86; 95%CI: 0.83-0.90 per z-score) than below 0 (HRage 7 = 0.95; 95%CI 0.91-0.99 per z-score). Associations between childhood height and BBD differed by age; at 7 years the association was an inverted U-shape, whereas at 13 years height was not associated with BBD. Ages at OGS and PHV were positively associated with BBD. Low and high birthweights were associated with lower BBD risks. Conclusion: A high childhood BMI, a short or tall stature at young childhood ages, an early pubertal onset, and low or high birthweights are associated with reduced risks of BBD. These complex associations suggest that the role of these factors in breast tissue development during early life warrants further investigation in relation to BBD etiology. What is Known: • Benign breast disease (BBD) is common and may be an intermediary marker of breast cancer risks. • Early life body size may relate to the development of BBD, but currently little is known. What is New: • Girls with a high body mass index at school ages or with an early pubertal timing have decreased risks of BBD. • Short and tall heights at young childhood ages and low and high birthweights are associated with lower BBD risks.
Collapse
Affiliation(s)
- Julie Aarestrup
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
| | - Britt W Jensen
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Dorthe C Pedersen
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Niels Kroman
- Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Jennifer L Baker
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Lise G Bjerregaard
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| |
Collapse
|
8
|
Sung H, Koka H, Marino N, Pfeiffer RM, Cora R, Figueroa JD, Sherman ME, Gierach GL, Yang XR. Associations of Genetic Ancestry with Terminal Duct Lobular Unit Involution among Healthy Women. J Natl Cancer Inst 2022; 114:1420-1424. [PMID: 35333343 DOI: 10.1093/jnci/djac063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/31/2022] [Accepted: 03/16/2022] [Indexed: 11/13/2022] Open
Abstract
Reduced age-related terminal duct lobular unit (TDLU) involution has been linked to increased breast cancer risk and triple-negative breast cancer (TNBC). Associations of TDLU involution levels with race and ethnicity remain incompletely explored. Herein, we examined associations between genetic ancestry and TDLU involution in normal breast tissue donated by 2,014 healthy women in the US. Women of African ancestry were more likely than European women to have increased TDLU counts (odds ratio [OR]trend=1.36; 95% CI = 1.07-1.74), acini counts/TDLU (OR = 1.47; 95% CI = 1.06-2.03), and median TDLU span (ORtrend=1.44; 95% CI = 1.08-1.91), indicating lower involution; whereas East Asian descendants were associated with decreased TDLU counts (ORtrend=0.52; 95% CI = 0.35-0.78) after controlling for potential confounders. These associations are consistent with the racial variations in incidence rates of TNBC in the US and suggest opportunities for future work examining whether TDLU involution may mediate the racial differences in subtype-specific breast cancer risk.
Collapse
Affiliation(s)
- Hyuna Sung
- Surveillance and Health Equity Science,American Cancer Society, Atlanta, Georgia, USA
| | - Hela Koka
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Natascia Marino
- Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA.,Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Renata Cora
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jonine D Figueroa
- Usher institute, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Mark E Sherman
- Quantitative Health Sciences,Mayo Clinic, Jacksonville, Florida, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| |
Collapse
|
9
|
Shamsi U, Afzal S, Shamsi A, Azam I, Callen D. Factors associated with mammographic breast density among women in Karachi Pakistan. BMC Womens Health 2021; 21:438. [PMID: 34972514 PMCID: PMC8720218 DOI: 10.1186/s12905-021-01538-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 11/10/2021] [Indexed: 12/31/2022] Open
Abstract
Background There are no studies done to evaluate the distribution of mammographic breast density and factors associated with it among Pakistani women. Methods Participants included 477 women, who had received either diagnostic or screening mammography at two hospitals in Karachi Pakistan. Mammographic breast density was assessed using the Breast Imaging Reporting and Data System. In person interviews were conducted using a detailed questionnaire, to assess risk factors of interest, and venous blood was collected to measure serum vitamin D level at the end of the interview. To determine the association of potential factors with mammographic breast density, multivariable polytomous logistic regression was used. Results High-density mammographic breast density (heterogeneously and dense categories) was high and found in 62.4% of women. There was a significant association of both heterogeneously dense and dense breasts with women of a younger age group < 45 years (OR 2.68, 95% CI 1.60–4.49) and (OR 4.83, 95% CI 2.54–9.16) respectively. Women with heterogeneously dense and dense breasts versus fatty and fibroglandular breasts had a higher history of benign breast disease (OR 1.90, 95% CI 1.14–3.17) and (OR 3.61, 95% CI 1.90–6.86) respectively. There was an inverse relationship between breast density and body mass index. Women with dense breasts and heterogeneously dense breasts had lower body mass index (OR 0.94 95% CI 0.90–0.99) and (OR 0.81, 95% CI 0.76–0.87) respectively. There was no association of mammographic breast density with serum vitamin D levels, diet, and breast cancer. Conclusions The findings of a positive association of higher mammographic density with younger age and benign breast disease and a negative association between body mass index and breast density are important findings that need to be considered in developing screening guidelines for the Pakistani population.
Collapse
Affiliation(s)
- Uzma Shamsi
- School of Medicine, University of Adelaide, Adelaide, Australia.
| | - Shaista Afzal
- Department of Radiology, Aga Khan University, Karachi, Pakistan
| | - Azra Shamsi
- Department of Gynecology and Obstetrics, Combined Military Hospital, Karachi, Pakistan
| | - Iqbal Azam
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - David Callen
- School of Medicine, University of Adelaide, Adelaide, Australia
| |
Collapse
|
10
|
Reimers LL, Goldberg M, Tehranifar P, Michels KB, Cohn BA, Flom JD, Wei Y, Cirillo P, Terry MB. Benign breast disease and changes in mammographic breast density. Breast Cancer Res 2021; 23:49. [PMID: 33902651 PMCID: PMC8074418 DOI: 10.1186/s13058-021-01426-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 04/01/2021] [Indexed: 11/18/2022] Open
Abstract
Background Mammographic breast density (MBD) and benign breast disease (BBD) are two of the strongest risk factors for breast cancer. Understanding trends in MBD by age and parity in women with BBD is essential to the clinical management and prevention of breast cancer. Methods Using data from the Early Determinants of Mammographic Density (EDMD) study, a prospective follow-up study of women born in 1959–1967, we evaluated MBD in 676 women. We used linear regression with generalized estimating equations to examine associations between self-reported BBD and MBD (percent density, dense area, and non-dense area), assessed through a computer-assisted method. Results A prior BBD diagnosis (median age at diagnosis 32 years) was reported by 18% of our cohort. The median time from BBD diagnosis to first available study mammogram was 9.4 years (range 1.1–27.6 years). Women with BBD had a 3.44% higher percent MBD (standard error (SE) = 1.56, p-value = 0.03) on their first available mammogram than women without BBD. Compared with parous women without BBD, nulliparous women with BBD and women with a BBD diagnosis prior to first birth had 7–8% higher percent MBD (β = 7.25, SE = 2.43, p-value< 0.01 and β = 7.84, SE = 2.98, p-value = 0.01, respectively), while there was no difference in MBD in women with a BBD diagnosis after the first birth (β = −0.22, SE = 2.40, p-value = 0.93). Conclusion Women with self-reported BBD had higher mammographic breast density than women without BBD; the association was limited to women with BBD diagnosed before their first birth. Supplementary Information The online version contains supplementary material available at 10.1186/s13058-021-01426-7.
Collapse
Affiliation(s)
- Laura L Reimers
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Mandy Goldberg
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Karin B Michels
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.,Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Barbara A Cohn
- Child Health and Development Studies, Public Health Institute, Berkeley, CA, USA
| | - Julie D Flom
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Ying Wei
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Piera Cirillo
- Child Health and Development Studies, Public Health Institute, Berkeley, CA, USA
| | - Mary Beth Terry
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA. .,Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA. .,The Imprints Center for Genetic and Environmental Lifecourse Studies, Columbia University Mailman School of Public Health and the New York State Psychiatric Institute, New York, NY, USA.
| |
Collapse
|
11
|
Corradini AG, Cremonini A, Cattani MG, Cucchi MC, Saguatti G, Baldissera A, Mura A, Ciabatti S, Foschini MP. Which type of cancer is detected in breast screening programs? Review of the literature with focus on the most frequent histological features. Pathologica 2021; 113:85-94. [PMID: 34042090 PMCID: PMC8167395 DOI: 10.32074/1591-951x-123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/12/2020] [Indexed: 12/20/2022] Open
Abstract
Breast cancer is the most frequent type of cancer affecting female patients. The introduction of breast cancer screening programs led to a substantial reduction of mortality from breast cancer. Nevertheless, doubts are being raised on the real efficacy of breast screening programs. The aim of the present paper is to review the main pathological type of cancers detected in breast cancer screening programs. Specifically, attention will be given to: in situ carcinoma, invasive carcinoma histotypes and interval cancer.
Collapse
Affiliation(s)
- Angelo G Corradini
- Unit of Anatomic Pathology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Anna Cremonini
- Unit of Anatomic Pathology, Department of Oncology, Bellaria Hospital, Bologna, Italy
| | - Maria G Cattani
- Unit of Anatomic Pathology, Department of Oncology, Bellaria Hospital, Bologna, Italy
| | - Maria C Cucchi
- Unit of Breast Surgery, Department of Oncology, Bellaria Hospital, Bologna Italy
| | - Gianni Saguatti
- Unit of Senology, Department of Oncology, Bellaria Hospital, Bologna, Italy
| | | | - Antonella Mura
- Department of Medical Oncology, Azienda USL, Bologna, Italy; IRCCS Institute of Neurological Sciences, Bologna, Italy
| | | | - Maria P Foschini
- Unit of Anatomic Pathology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.,Unit of Anatomic Pathology, Department of Oncology, Bellaria Hospital, Bologna, Italy
| |
Collapse
|
12
|
Gaudet MM, Deubler E, Diver WR, Puvanesarajah S, Patel AV, Gansler T, Sherman ME, Gapstur SM. Breast cancer risk factors by mode of detection among screened women in the Cancer Prevention Study-II. Breast Cancer Res Treat 2021; 186:791-805. [PMID: 33398477 DOI: 10.1007/s10549-020-06025-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 11/16/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Identifying risk factors for women at high risk of symptom-detected breast cancers that were missed by screening would enable targeting of enhanced screening regimens. To this end, we examined associations of breast cancer risk factors by mode of detection in screened women from the Cancer Prevention Study (CPS)-II Nutrition Cohort. METHODS Among 77,206 women followed for a median of 14.8 years, 2711 screen-detected and 1281 symptom-detected breast cancer cases were diagnosed. Multivariable-adjusted associations were estimated using joint Cox proportional hazards regression models with person-time calculated contingent on screening. RESULTS Factors associated with higher risks of symptom-detected and screen-detected breast cancer included current combined hormone therapy (HT) use (HR 2.07, 95% CI 1.72-2.48 and 1.45, 1.27-1.65, respectively) and history of benign breast disease (1.85, 1.64-2.08 and 1.43, 1.31-1.55, respectively). Current estrogen-only HT use was associated with symptom-detected (1.40, 1.15-1.71) but not screen-detected (0.95, 0.83-1.09) breast cancer. Higher risk of screen-detected but not symptom-detected breast cancer was observed for obese vs. normal body mass index (1.22, 1.01-1.48 and 0.76, 0.56-1.01, respectively), per 3 h/day sitting time (1.10, 1.04-1.16 and 0.97, 0.89-1.06, respectively), and ≥ 2 drinks per day vs. nondrinker (1.40, 1.16-1.69 and 1.27, 0.97-1.66, respectively). CONCLUSIONS Differences in risk factors for symptom-detected vs. screen-detected breast cancer were observed and most notably, use of combined and estrogen-only HT and a history of benign breast disease were associated with increased risk of symptomatic detected breast cancer. IMPACT If confirmed, these data suggest that such women may benefit from more intensive screening to facilitate early detection.
Collapse
Affiliation(s)
- Mia M Gaudet
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA.
| | - Emily Deubler
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - W Ryan Diver
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Samantha Puvanesarajah
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Alpa V Patel
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Ted Gansler
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| | - Mark E Sherman
- Departments of Epidemiology and of Laboratory Medicine and Pathology, Mayo Clinical College of Medicine, Jacksonville, FL, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Program, American Cancer Society, 250 Williams Street, Atlanta, GA, 30303, USA
| |
Collapse
|
13
|
Berkey CS, Tamimi RM, Willett WC, Rosner B, Hickey M, Toriola AT, Frazier AL, Colditz GA. Adolescent alcohol, nuts, and fiber: combined effects on benign breast disease risk in young women. NPJ Breast Cancer 2020; 6:61. [PMID: 33298962 PMCID: PMC7683739 DOI: 10.1038/s41523-020-00206-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 10/21/2020] [Indexed: 12/29/2022] Open
Abstract
Adolescent drinking is associated with higher risks of proliferative benign breast disease (BBD) and invasive breast cancer (BC). Furthermore, adolescent nut and fiber consumptions are associated with lower risks of benign lesions and premenopausal BC. We hypothesize that diet (nuts, fiber) may mitigate the elevated BBD risk associated with alcohol. A prospective cohort of 9031 females, 9-15 years at baseline, completed questionnaires in 1996-2001, 2003, 2005, 2007, 2010, 2013, and 2014. Participants completed food frequency questionnaires in 1996-2001. In 2005, participants (>=18 years) began reporting biopsy-confirmed BBD (N = 173 cases). Multivariable logistic regression estimated associations between BBD and cross-classified intakes (14-17 years) of alcohol and peanut butter/nuts (separately, total dietary fiber). Only 19% of participants drank in high school; drinking was associated with elevated BBD risk (OR = 1.75, 95% CI: 1.20-2.56; p = 0.004) compared to nondrinkers. Participants consuming any nuts/butter had lower BBD risk (OR = 0.64, 95% CI: 0.45-0.90; p = 0.01) compared to those consuming none. Participants in top 75% fiber intake had lower risk (OR = 0.57, 95% CI: 0.40-0.81; p = 0.002) compared to bottom quartile. Testing our hypothesis that consuming nuts/butter mitigates the elevated alcohol risk, analyzing alcohol and nuts combined found that those who consumed both had lower risk (RR = 0.47, 95% CI: 0.24-0.89; p = 0.02) compared to drinkers eating no nuts. Our analysis of alcohol and fiber together did not demonstrate risk mitigation by fiber. For high school females who drink, their BBD risk may be attenuated by consuming nuts. Due to modest numbers, future studies need to replicate our findings in adolescent/adult females. However, high school students may be encouraged to eat nuts and fiber, and to avoid alcohol, to reduce risk of BBD and for general health benefits.
Collapse
Affiliation(s)
- Catherine S Berkey
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Rulla M Tamimi
- Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
| | - Adetunji T Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J Siteman Cancer Center, St. Louis, MO, USA
| | - A Lindsay Frazier
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Graham A Colditz
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| |
Collapse
|
14
|
Dabrosin N, Dabrosin C. Postmenopausal Dense Breasts Maintain Premenopausal Levels of GH and Insulin-like Growth Factor Binding Proteins in Vivo. J Clin Endocrinol Metab 2020; 105:5695904. [PMID: 31900484 DOI: 10.1210/clinem/dgz323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 01/01/2020] [Indexed: 12/24/2022]
Abstract
CONTEXT Dense breast tissue is associated with 4 to 6 times higher risk of breast cancer by poorly understood mechanisms. No preventive therapy for this high-risk group is available. After menopause, breast density decreases due to involution of the mammary gland. In dense breast tissue, this process is haltered by undetermined biological actions. Growth hormone (GH) and insulin-like binding proteins (IGFBPs) play major roles in normal mammary gland development, but their roles in maintaining breast density are unknown. OBJECTIVE To reveal in vivo levels of GH, IGFBPs, and other pro-tumorigenic proteins in the extracellular microenvironment in breast cancer, in normal breast tissue with various breast density in postmenopausal women, and premenopausal breasts. We also sought to determine possible correlations between these determinants. SETTING AND DESIGN Microdialysis was used to collect extracellular in vivo proteins intratumorally from breast cancers before surgery and from normal human breast tissue from premenopausal women and postmenopausal women with mammographic dense or nondense breasts. RESULTS Estrogen receptor positive breast cancers exhibited increased extracellular GH (P < .01). Dense breasts of postmenopausal women exhibited similar levels of GH as premenopausal breasts and significantly higher levels than in nondense breasts (P < .001). Similar results were found for IGFBP-1, -2, -3, and -7 (P < .01) and for IGFBP-6 (P <.05). Strong positive correlations were revealed between GH and IGFBPs and pro-tumorigenic matrix metalloproteinases, urokinase-type plasminogen activator, Interleukin 6, Interleukin 8, and vascular endothelial growth factor in normal breast tissue. CONCLUSIONS GH pathways may be targetable for cancer prevention therapeutics in postmenopausal women with dense breast tissue.
Collapse
Affiliation(s)
- Nina Dabrosin
- Department of Plastic and Breast Surgery, Aarhus University Hospital, Aarhus, Denmark
| | - Charlotta Dabrosin
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| |
Collapse
|
15
|
Phenotypic Plasticity of Fibroblasts during Mammary Carcinoma Development. Int J Mol Sci 2019; 20:ijms20184438. [PMID: 31505876 PMCID: PMC6769951 DOI: 10.3390/ijms20184438] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 09/04/2019] [Accepted: 09/06/2019] [Indexed: 02/08/2023] Open
Abstract
Cancer-associated fibroblasts (CAFs) in the tumor microenvironment contribute to all stages of tumorigenesis and are usually considered to be tumor-promoting cells. CAFs show a remarkable degree of heterogeneity, which is attributed to developmental origin or to local environmental niches, resulting in distinct CAF subsets within individual tumors. While CAF heterogeneity is frequently investigated in late-stage tumors, data on longitudinal CAF development in tumors are lacking. To this end, we used the transgenic polyoma middle T oncogene-induced mouse mammary carcinoma model and performed whole transcriptome analysis in FACS-sorted fibroblasts from early- and late-stage tumors. We observed a shift in fibroblast populations over time towards a subset previously shown to negatively correlate with patient survival, which was confirmed by multispectral immunofluorescence analysis. Moreover, we identified a transcriptomic signature distinguishing CAFs from early- and late-stage tumors. Importantly, the signature of early-stage CAFs correlated well with tumor stage and survival in human mammary carcinoma patients. A random forest analysis suggested predictive value of the complete set of differentially expressed genes between early- and late-stage CAFs on bulk tumor patient samples, supporting the clinical relevance of our findings. In conclusion, our data show transcriptome alterations in CAFs during tumorigenesis in the mammary gland, which suggest that CAFs are educated by the tumor over time to promote tumor development. Moreover, we show that murine CAF gene signatures can harbor predictive value for human cancer.
Collapse
|
16
|
Li J, Mo Y, He B, Gao Q, Luo C, Peng C, Zhao W, Ma Y, Yang Y. Association between MRI background parenchymal enhancement and lymphovascular invasion and estrogen receptor status in invasive breast cancer. Br J Radiol 2019; 92:20190417. [PMID: 31398071 PMCID: PMC6849688 DOI: 10.1259/bjr.20190417] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Objectives: In magnetic resonance imaging (MRI), background parenchymal enhancement (BPE) is associated with breast cancer risk, but the associations between BPE and clinical characteristics and histological features are unknown. This study aimed to investigate the association between BPE and clinical characteristics (including age, menopausal status, and tumor histological characteristics) in patients with invasive breast cancer. Methods: This was a retrospective study of 163 patients with invasive breast cancer (164 lesions, 1 patient had bilateral cancer) confirmed by surgery and pathological examination, treated between January 2014 and December 2016 at our university (Kunming Medical University). The patients were divided into two groups: extremely minimal and mild enhancement (low BPE group, n = 78) vs moderate and marked enhancement (high BPE group, n = 86). Results: Compared with the low BPE group, the high BPE group showed higher frequencies of patients < 50 years of age (88% vs 38%, p < 0.0001), premenopausal (87% vs 29%, p < 0.0001), T1 staging (35% vs 15%, p = 0.027), Grade II (57% vs 37%, p = 0.03), lymphovascular invasion (83% vs 13%, p < 0.0001), and positive estrogen receptor (ER) (79% vs 42%, p < 0.0001). The Spearman correlation coefficients (r) between BPE and age, menopausal status, lymphovascular invasion, and ER status were −0.521 (p < 0.0001), –0.588 (p < 0.0001), 0.697 (p < 0.0001), and 0.377 (p < 0.0001), respectively. Conclusion: BPE is negatively associated with age and menopausal status, and is positively associated with lymphovascular invasion and positive ER status. Advances in knowledge: BPE is not correlated with T staging and histological classification in patients with invasive breast cancer.
Collapse
Affiliation(s)
- Jun Li
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Yin Mo
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Bo He
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Qian Gao
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Chunyan Luo
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Chao Peng
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Wei Zhao
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Yun Ma
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| | - Ying Yang
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, China
| |
Collapse
|
17
|
Li E, Guida JL, Tian Y, Sung H, Koka H, Li M, Chan A, Zhang H, Tang E, Guo C, Deng J, Hu N, Lu N, Gierach GL, Li J, Yang XR. Associations between mammographic density and tumor characteristics in Chinese women with breast cancer. Breast Cancer Res Treat 2019; 177:527-536. [PMID: 31254158 DOI: 10.1007/s10549-019-05325-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 06/17/2019] [Indexed: 01/09/2023]
Abstract
PURPOSE Mammographic density (MD) is a strong risk factor for breast cancer, yet its relationship with tumor characteristics is not well established, particularly in Asian populations. METHODS MD was assessed from a total of 2001 Chinese breast cancer patients using Breast Imaging Reporting and Data System (BI-RADS) categories. Molecular subtypes were defined using immunohistochemical status on ER, PR, HER2, and Ki-67, as well as tumor grade. Multinomial logistic regression was used to test associations between MD and molecular subtype (luminal A = reference) adjusting for age, body mass index (BMI), menopausal status, parity, and nodal status. RESULTS The mean age at diagnosis was 51.7 years (SD = 10.7) and the average BMI was 24.7 kg/m2 (SD = 3.8). The distribution of BI-RADS categories was 7.4% A = almost entirely fat, 24.2% B = scattered fibroglandular dense, 49.4% C = heterogeneously dense, and 19.0% D = extremely dense. Compared to women with BI-RADS = A/B, women with BI-RADS = D were more likely to have HER2-enriched tumors (OR = 1.81, 95% CI 1.08-3.06, p = 0.03), regardless of menopausal status. The association was only observed in women with normal (< 25 kg/m2) BMI (OR = 2.43, 95% CI 1.24-4.76, p < 0.01), but not among overweight/obese women (OR: 0.98, 95% CI 0.38-2.52, p = 0.96). CONCLUSIONS Among Chinese women with normal BMI, higher breast density was associated with HER2-enriched tumors. The results may partially explain the higher proportion of HER2+ tumors previously reported in Asian women.
Collapse
Affiliation(s)
- Erni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jennifer L Guida
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.,Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Yuan Tian
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hyuna Sung
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.,Cancer Surveillance and Health Services Program, American Cancer Society, Atlanta, GA, 30303, USA
| | - Hela Koka
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Mengjie Li
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.,Vanderbilt University, Nashville, TN, USA
| | - Ariane Chan
- Volpara Health Technologies Ltd, Wellington, New Zealand
| | - Han Zhang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Eric Tang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Changyuan Guo
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Joseph Deng
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Nan Hu
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Ning Lu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Gretchen L Gierach
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA
| | - Jing Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Xiaohong R Yang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, NIH, DHHS, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
| |
Collapse
|
18
|
Berkey CS, Tamimi RM, Willett WC, Rosner B, Hickey M, Toriola AT, Lindsay Frazier A, Colditz GA. Dietary intake from birth through adolescence in relation to risk of benign breast disease in young women. Breast Cancer Res Treat 2019; 177:513-525. [PMID: 31222710 DOI: 10.1007/s10549-019-05323-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 06/13/2019] [Indexed: 11/28/2022]
Abstract
PURPOSE Nutritional factors during different periods in life impact breast cancer risk. Because benign breast disease (BBD) is a well-established risk factor for breast cancer, we investigated childhood nutrition from birth through age 14 year and subsequent BBD. METHODS A prospective cohort study of 9031 females, 9-15 year at baseline, completed questionnaires (including heights, weights) annually from 1996 to 2001, in 2003, 2005, 2007, 2010, 2013 and 2014. In 1996, mothers reported infant feeding practices during their daughters first year of life. Beginning in 1996, participants completed annual food frequency questionnaires. In 2005, participants (18 year +) began reporting whether they had ever been diagnosed with biopsy-confirmed BBD (N = 173 cases). Multivariable logistic regression models estimated associations between childhood nutrition and BBD, adjusted for maternal breast disease and childhood body size factors. RESULTS Although no infant nutrition factors were associated with biopsy-confirmed BBD, certain adolescent dietary factors were. A multivariable model simultaneously included the most important diet and body size factors from different age periods: higher BBD risk was associated with greater age 10 year consumption of animal (non-dairy, energy-adjusted) fat (OR 2.27, p < .02, top vs. bottom quartiles) and with lower 14 year consumption of nuts/peanut butter (OR 0.60, p = .033, top vs. bottom quartiles). CONCLUSION Greater intake of animal (non-dairy) fat at 10 year and lower intake of nuts/peanut butter at 14 year were independently associated with higher BBD risk. These dietary factors appeared to operate on BBD risk independent of childhood growth (gestational weight gain, childhood BMI and height, adolescent height growth velocity), young adult height and BMI, and family history.
Collapse
Affiliation(s)
- Catherine S Berkey
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, The University of Melbourne and the Royal Women's Hospital, Melbourne, VIC, Australia
| | - Adetunji T Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J Siteman Cancer Center, St. Louis, MO, USA
| | - A Lindsay Frazier
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - Graham A Colditz
- Washington University School of Medicine, Alvin J. Siteman Cancer Center, St. Louis, MO, USA
| |
Collapse
|
19
|
Gastounioti A, McCarthy AM, Pantalone L, Synnestvedt M, Kontos D, Conant EF. Effect of Mammographic Screening Modality on Breast Density Assessment: Digital Mammography versus Digital Breast Tomosynthesis. Radiology 2019; 291:320-327. [PMID: 30888933 PMCID: PMC6493215 DOI: 10.1148/radiol.2019181740] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 01/24/2019] [Accepted: 01/28/2019] [Indexed: 01/14/2023]
Abstract
Background Breast Imaging Reporting and Data System (BI-RADS) breast density categories assigned by interpreting radiologists often influence decisions surrounding supplemental breast cancer screening and risk assessment. The landscape of mammographic screening continuously evolves, and different mammographic screening modalities may result in different perception of density, reflected in different assignment of BI-RADS density categories. Purpose To investigate the effect of screening mammography modality on BI-RADS breast density assessments. Materials and Methods Data were retrospectively analyzed from 24 736 individual women (42.3% [10 455 of 24 736] white women, 57.7% [14 281 of 24 736] black women; mean age, 56.3 years; age range, 40.0-74.9 years) who underwent from one to seven mammographic screening examinations from September 2010 through February 2017 (60 766 examinations). Three screening modalities were used: digital mammography alone (8935 examinations); digital mammography with digital breast tomosynthesis (DBT; 30 779 examinations); and synthetic mammography with DBT (21 052 examinations). Random-effects logistic regression analysis was performed to estimate the likelihood of assignment to high versus low BI-RADS density category according to each modality, adjusted for ethnicity, age, body mass index (BMI), and radiologist. The interactions of modality with ethnicity and BMI on density categorization were also tested with the model. Results Women screened with DBT versus digital mammography alone had lower likelihood regarding categorization of high density breasts (digital mammography and DBT vs digital mammography: odds ratio, 0.69 [95% confidence interval: 0.61, 0.80], P < .001; synthetic mammography and DBT vs digital mammography: odds ratio, 0.43 [95% confidence interval: 0.37, 0.50], P < .001). Lower likelihood of high density was also observed at synthetic mammography and DBT compared with digital mammography and DBT (odds ratio, 0.62; 95% confidence interval: 0.56, 0.69; P < .001). There were interactions of modality with ethnicity (P = .007) and BMI (P = .003) on breast density assessment, with greater differences in density categorization according to modality observed for black women than for white women and groups with higher BMI. Conclusion Breast density categorization may vary by screening mammographic modality, and this effect appears to vary by ethnicity and body mass index. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Philpotts in this issue.
Collapse
Affiliation(s)
- Aimilia Gastounioti
- From the Department of Radiology, Perelman School of Medicine,
University of Pennsylvania, 3710 Hamilton Walk, Room G601E Goddard Building,
Philadelphia, PA 19104 (A.G., L.P., M.S., D.K., E.F.C.); and Department of
Medicine, Massachusetts General Hospital, Boston, Mass (A.M.M.)
| | - Anne Marie McCarthy
- From the Department of Radiology, Perelman School of Medicine,
University of Pennsylvania, 3710 Hamilton Walk, Room G601E Goddard Building,
Philadelphia, PA 19104 (A.G., L.P., M.S., D.K., E.F.C.); and Department of
Medicine, Massachusetts General Hospital, Boston, Mass (A.M.M.)
| | - Lauren Pantalone
- From the Department of Radiology, Perelman School of Medicine,
University of Pennsylvania, 3710 Hamilton Walk, Room G601E Goddard Building,
Philadelphia, PA 19104 (A.G., L.P., M.S., D.K., E.F.C.); and Department of
Medicine, Massachusetts General Hospital, Boston, Mass (A.M.M.)
| | - Marie Synnestvedt
- From the Department of Radiology, Perelman School of Medicine,
University of Pennsylvania, 3710 Hamilton Walk, Room G601E Goddard Building,
Philadelphia, PA 19104 (A.G., L.P., M.S., D.K., E.F.C.); and Department of
Medicine, Massachusetts General Hospital, Boston, Mass (A.M.M.)
| | - Despina Kontos
- From the Department of Radiology, Perelman School of Medicine,
University of Pennsylvania, 3710 Hamilton Walk, Room G601E Goddard Building,
Philadelphia, PA 19104 (A.G., L.P., M.S., D.K., E.F.C.); and Department of
Medicine, Massachusetts General Hospital, Boston, Mass (A.M.M.)
| | - Emily F. Conant
- From the Department of Radiology, Perelman School of Medicine,
University of Pennsylvania, 3710 Hamilton Walk, Room G601E Goddard Building,
Philadelphia, PA 19104 (A.G., L.P., M.S., D.K., E.F.C.); and Department of
Medicine, Massachusetts General Hospital, Boston, Mass (A.M.M.)
| |
Collapse
|
20
|
Awaji M, Singh RK. Cancer-Associated Fibroblasts' Functional Heterogeneity in Pancreatic Ductal Adenocarcinoma. Cancers (Basel) 2019; 11:cancers11030290. [PMID: 30832219 PMCID: PMC6468677 DOI: 10.3390/cancers11030290] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 02/22/2019] [Accepted: 02/26/2019] [Indexed: 02/07/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths in the USA. Desmoplasia and inflammation are two major hallmarks of PDAC. Desmoplasia, composed of extracellular matrix (ECM), cancer-associated fibroblasts (CAFs), and infiltrating immune and endothelial cells, acts as a biophysical barrier to hinder chemotherapy and actively contributes to tumor progression and metastasis. CAFs represent a multifunctional subset of PDAC microenvironment and contribute to tumor initiation and progression through ECM deposition and remodeling, as well as the secretion of paracrine factors. Attempts to resolve desmoplasia by targeting CAFs can render an adverse outcome, which is likely due to CAFs heterogeneity. Recent reports describe subsets of CAFs that assume more secretory functions, in addition to the typical myofibroblast phenotype. Here, we review the literature and describe the relationship between CAFs and inflammation and the role of the secretory-CAFs in PDAC.
Collapse
Affiliation(s)
- Mohammad Awaji
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985845 UNMC, Omaha, NE 68198-5845, USA.
- Department of Pathology and Laboratory Medicine, King Fahad Specialist Hospital-Dammam, Dammam 31444, Saudi Arabia.
| | - Rakesh K Singh
- Department of Pathology and Microbiology, University of Nebraska Medical Center, 985845 UNMC, Omaha, NE 68198-5845, USA.
| |
Collapse
|
21
|
Sung H, Guo C, Li E, Li J, Pfeiffer RM, Guida JL, Cora R, Hu N, Deng J, Figueroa JD, Sherman ME, Gierach GL, Lu N, Yang XR. The relationship between terminal duct lobular unit features and mammographic density among Chinese breast cancer patients. Int J Cancer 2019; 145:70-77. [PMID: 30561789 DOI: 10.1002/ijc.32077] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 11/14/2018] [Accepted: 11/26/2018] [Indexed: 12/15/2022]
Abstract
Extensive mammographic density (MD), a well-established breast cancer risk factor, is a radiological representation of stromal and epithelial breast tissue content. In studies conducted predominantly among Caucasian women, histologic measures of reduced terminal duct lobular unit (TDLU) involution have been correlated with extensive MD, but independently associated with breast cancer risk. We therefore examined associations between TDLU measures and MD among Chinese women, a low-risk population but with high prevalence of dense breasts. Diagnostic pre-treatment digital mammograms were obtained from 144 breast cancer cases at a tertiary hospital in Beijing and scored using the Breast Imaging Reporting and Data System (BI-RADS) density classification. TDLU features were assessed using three standardized measures (count/100 mm2 , span [μm], and acini count/TDLU) in benign tissues. Associations between each of TDLU measures and MD were examined using generalized linear models for TDLU count and span and polytomous logistic regression for acini count with adjustment for potential confounders stratified by age. Among women ≥50 years, 63% had dense breasts; cases with dense breasts (BI-RADS, c-d) had greater TDLU count (21.1 [SE = 2.70] vs. 9.0 [SE = 1.83]; p = 0.0004), longer span (480.6 μm [SE = 24.6] vs. 393.8 μm [SE = 31.8]; p = 0.03), and greater acini count (ORtrend = 16.1; 95%CI = 4.08-63.1; ptrend < 0.0001) compared to those with non-dense breasts (BI-RADS, a-b). Among women <50 years, 91% had dense breasts, precluding our ability to detect associations. Our findings are consistent with previously reported associations between extensive MD and reduced TDLU involution, supporting the hypothesis that breast cancer risk associated with extensive MD may be related to the amount of "at-risk" epithelium.
Collapse
Affiliation(s)
- Hyuna Sung
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.,Surveillance and Health Services Research, American Cancer Society, Atlanta, Georgia, USA
| | - Changyuan Guo
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Erni Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jennifer L Guida
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Renata Cora
- Independent Contractor, CT(ASCP), MB(ASCP), Stamford, Connecticut, USA
| | - Nan Hu
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Joseph Deng
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jonine D Figueroa
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.,Usher Institute of Population Health Sciences and Informatics, CRUK Edinburgh Centre, The University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E Sherman
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.,Health Sciences Research, Mayo Clinic, Jacksonville, Florida, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ning Lu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong R Yang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| |
Collapse
|
22
|
Kontos D, Winham SJ, Oustimov A, Pantalone L, Hsieh MK, Gastounioti A, Whaley DH, Hruska CB, Kerlikowske K, Brandt K, Conant EF, Vachon CM. Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment. Radiology 2018; 290:41-49. [PMID: 30375931 DOI: 10.1148/radiol.2018180179] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To identify phenotypes of mammographic parenchymal complexity by using radiomic features and to evaluate their associations with breast density and other breast cancer risk factors. Materials and Methods Computerized image analysis was used to quantify breast density and extract parenchymal texture features in a cross-sectional sample of women screened with digital mammography from September 1, 2012, to February 28, 2013 (n = 2029; age range, 35-75 years; mean age, 55.9 years). Unsupervised clustering was applied to identify and reproduce phenotypes of parenchymal complexity in separate training (n = 1339) and test sets (n = 690). Differences across phenotypes by age, body mass index, breast density, and estimated breast cancer risk were assessed by using Fisher exact, χ2, and Kruskal-Wallis tests. Conditional logistic regression was used to evaluate preliminary associations between the detected phenotypes and breast cancer in an independent case-control sample (76 women diagnosed with breast cancer and 158 control participants) matched on age. Results Unsupervised clustering in the screening sample identified four phenotypes with increasing parenchymal complexity that were reproducible between training and test sets (P = .001). Breast density was not strongly correlated with phenotype category (R2 = 0.24 for linear trend). The low- to intermediate-complexity phenotype (prevalence, 390 of 2029 [19%]) had the lowest proportion of dense breasts (eight of 390 [2.1%]), whereas similar proportions were observed across other phenotypes (from 140 of 291 [48.1%] in the high-complexity phenotype to 275 of 511 [53.8%] in the low-complexity phenotype). In the independent case-control sample, phenotypes showed a significant association with breast cancer (P = .001), resulting in higher discriminatory capacity when added to a model with breast density and body mass index (area under the curve, 0.84 vs 0.80; P = .03 for comparison). Conclusion Radiomic phenotypes capture mammographic parenchymal complexity beyond conventional breast density measures and established breast cancer risk factors. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by Pinker in this issue.
Collapse
Affiliation(s)
- Despina Kontos
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Stacey J Winham
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Andrew Oustimov
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Lauren Pantalone
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Meng-Kang Hsieh
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Aimilia Gastounioti
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Dana H Whaley
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Carrie B Hruska
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Karla Kerlikowske
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Kathleen Brandt
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Emily F Conant
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| | - Celine M Vachon
- From the Department of Radiology, University of Pennsylvania, Perelman School of Medicine & Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (D.K., A.O., L.P., M.K.H., A.G., E.F.C.); Department of Health Sciences Research (S.J.W., C.M.V.) and Department of Radiology (D.H.W., C.B.H., K.B.), Mayo Clinic, Rochester, Minn (S.J.W., D.H.W., C.B.H., K.B., C.M.V.); and Departments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, Calif (K.K.)
| |
Collapse
|
23
|
McCarthy JB, El-Ashry D, Turley EA. Hyaluronan, Cancer-Associated Fibroblasts and the Tumor Microenvironment in Malignant Progression. Front Cell Dev Biol 2018; 6:48. [PMID: 29868579 PMCID: PMC5951929 DOI: 10.3389/fcell.2018.00048] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 04/13/2018] [Indexed: 12/16/2022] Open
Abstract
This review summarizes the roles of CAFs in forming a “cancerized” fibrotic stroma favorable to tumor initiation and dissemination, in particular highlighting the functions of the extracellular matrix component hyaluronan (HA) in these processes. The structural complexity of the tumor and its host microenvironment is now well appreciated to be an important contributing factor to malignant progression and resistance-to-therapy. There are multiple components of this complexity, which include an extensive remodeling of the extracellular matrix (ECM) and associated biomechanical changes in tumor stroma. Tumor stroma is often fibrotic and rich in fibrillar type I collagen and hyaluronan (HA). Cancer-associated fibroblasts (CAFs) are a major source of this fibrotic ECM. CAFs organize collagen fibrils and these biomechanical alterations provide highways for invading carcinoma cells either under the guidance of CAFs or following their epithelial to mesenchymal transition (EMT). The increased HA metabolism of a tumor microenvironment instructs carcinoma initiation and dissemination by performing multiple functions. The key effects of HA reviewed here are its role in activating CAFs in pre-malignant and malignant stroma, and facilitating invasion by promoting motility of both CAFs and tumor cells, thus facilitating their invasion. Circulating CAFs (cCAFs) also form heterotypic clusters with circulating tumor cells (CTC), which are considered to be pre-cursors of metastatic colonies. cCAFs are likely required for extravasation of tumors cells and to form a metastatic niche suitable for new tumor colony growth. Therapeutic interventions designed to target both HA and CAFs in order to limit tumor spread and increase response to current therapies are discussed.
Collapse
Affiliation(s)
- James B McCarthy
- Department of Laboratory Medicine and Pathology, Masonic Comprehensive Cancer Center, Minneapolis, MN, United States
| | - Dorraya El-Ashry
- Department of Laboratory Medicine and Pathology, Masonic Comprehensive Cancer Center, Minneapolis, MN, United States
| | - Eva A Turley
- London Regional Cancer Program, Department of Oncology, Biochemistry and Surgery, Schulich School of Medicine and Dentistry, Lawson Health Research Institute, Western University, London, ON, Canada
| |
Collapse
|