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Hubbard L, Dougherty OP, Kimball EE. Characterization of non-epithelial cells embedded within the vocal fold epithelial barrier. Tissue Cell 2024; 90:102514. [PMID: 39121582 DOI: 10.1016/j.tice.2024.102514] [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] [Received: 03/21/2024] [Revised: 07/08/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
The vocal folds vibrate to produce voice, undergoing significant stress due to contact and shearing force. The epithelium operates as the primary protective layer of the tissue against stress and vibratory damage, as well as to provide a barrier against foreign organisms and toxins. Within the vocal fold epithelium, non-epithelial cells were identified that may interrupt the epithelium and compromise the epithelial barrier's protective function. Human vocal fold samples with a variety of pathologies were compared to normal vocal folds. Analysis included the number of cells in the epithelium and epithelial thickness. Vocal fold sections from 10 human tissue samples were assessed via H&E staining and immunofluorescent co-labeling. Three cell populations (vimentin expressing, CD-45 expressing, and cells expressing both) were identified within the epithelium. Statistical analysis revealed that the abnormal samples had a significantly greater number of vimentin-positive cells/area within the epithelium compared to the normal samples. Additionally, normal tissue samples had a significantly greater epithelial depth, suggesting a more robust epithelial barrier compared to tissue with pathology. Knowledge of the function of these cells could lead to a better understanding of how the local immune environment near and within vocal fold epithelium changes in the presence of different pathologies.
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Affiliation(s)
- L Hubbard
- Department of Hearing and Speech Sciences Vanderbilt University Medical Center, 21st Ave S, Medical Center East Room 8310, Nashville, TN 37232, United States; Department of Biological Sciences, Vanderbilt University, 465 21st Ave S, MRB III V1210, Nashville, TN 37232, United States.
| | - O P Dougherty
- Department of Hearing and Speech Sciences Vanderbilt University Medical Center, 21st Ave S, Medical Center East Room 8310, Nashville, TN 37232, United States.
| | - E E Kimball
- Department of Hearing and Speech Sciences Vanderbilt University Medical Center, 21st Ave S, Medical Center East Room 8310, Nashville, TN 37232, United States; Department of Otolaryngology, Vanderbilt University Medical Center, 1215 21st Ave S, Medical Center East Room 7302, Nashville, TN 37232, United States.
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2
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Ye DM, Bai X, Xu S, Qu N, Zhao N, Zheng Y, Yu T, Wu H. Association between breastfeeding, mammographic density, and breast cancer risk: a review. Int Breastfeed J 2024; 19:65. [PMID: 39285438 PMCID: PMC11406879 DOI: 10.1186/s13006-024-00672-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 09/07/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND Mammographic density has been associated with breast cancer risk, and is modulated by established breast cancer risk factors, such as reproductive and hormonal history, as well as lifestyle. Recent epidemiological and biological findings underscore the recognized benefits of breastfeeding in reducing breast cancer risk, especially for aggressive subtypes. Current research exploring the association among mammographic density, breastfeeding, and breast cancer is sparse. MAIN FINDINGS Changes occur in the breasts during pregnancy in preparation for lactation, characterized by the proliferation of mammary gland tissues and the development of mammary alveoli. During lactation, the alveoli fill with milk, and subsequent weaning triggers the involution and remodeling of these tissues. Breastfeeding influences the breast microenvironment, potentially altering mammographic density. When breastfeeding is not initiated after birth, or is abruptly discontinued shortly after, the breast tissue undergoes forced and abrupt involution. Conversely, when breastfeeding is sustained over an extended period and concludes gradually, the breast tissue undergoes slow remodeling process known as gradual involution. Breast tissue undergoing abrupt involution displays denser stroma, altered collagen composition, heightened inflammation and proliferation, along with increased expression of estrogen receptor α (ERα) and progesterone receptor. Furthermore, elevated levels of pregnancy-associated plasma protein-A (PAPP-A) surpass those of its inhibitors during abrupt involution, enhancing insulin-like growth factor (IGF) signaling and collagen deposition. Prolactin and small molecules in breast milk may also modulate DNA methylation levels. Drawing insights from contemporary epidemiological and molecular biology studies, our review sheds light on how breastfeeding impacts mammographic density and explores its role in influencing breast cancer. CONCLUSION This review highlights a clear protective link between breastfeeding and reduced breast cancer risk via changes in mammographic density. Future research should investigate the effects of breastfeeding on mammographic density and breast cancer risk among various ethnic groups and elucidate the molecular mechanisms underlying these associations. Such comprehensive research will enhance our understanding and facilitate the development of targeted breast cancer prevention and treatment strategies.
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Affiliation(s)
- Dong-Man Ye
- Department of Medical Imaging, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China
| | - Xiaoru Bai
- Department of Medical Imaging, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China
| | - Shu Xu
- Department of Medical Imaging, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China
| | - Ning Qu
- Department of Medical Imaging, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China
| | - Nannan Zhao
- Department of Medical Imaging, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China
| | - Yang Zheng
- Department of Laboratory Medicine, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China
| | - Tao Yu
- Department of Medical Imaging, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang, 110042, China.
| | - Huijian Wu
- School of Bioengineering & Key Laboratory of Protein Modification and Disease, Dalian University of Technology, Dalian, 116024, Liaoning Province, China.
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3
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Singh RK, Getz KR, Kyeyune JK, Jeon MS, Luo C, Luo J, Toriola AT. Aspirin Metabolites and Mammographic Breast Density in Premenopausal Women. Cancer Epidemiol Biomarkers Prev 2024; 33:1126-1128. [PMID: 38700429 PMCID: PMC11309151 DOI: 10.1158/1055-9965.epi-24-0017] [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: 01/03/2024] [Revised: 03/13/2024] [Accepted: 04/30/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Studies investigating the associations of self-reported aspirin use and mammographic breast density (MBD) have reported conflicting results. Therefore, we investigated the associations of aspirin metabolites with MBD in premenopausal women. METHODS We performed this study on 705 premenopausal women who had a fasting blood draw for metabolomic profiling. We performed covariate-adjusted linear regression models to calculate the least square means of volumetric measures of MBD [volumetric percent density (VPD), dense volume (DV), and nondense volume (NDV)] by quartiles of aspirin metabolites [salicyluric glucuronide, 2-hydroxyhippurate (salicylurate), salicylate, and 2,6-dihydroxybenzoic acid]. RESULTS Approximately 13% of participants reported taking aspirin in the past 12 months. Aspirin users had higher levels of 2-hydroxyhippurate (salicylurate), salicylate, and salicyluric glucuronide (peak area) than nonusers, but only the mean peak area of salicyluric glucuronide was increased by both dose (1-2 tablets per day = 1,140,663.7 and ≥3 tablets per day = 1,380,476.0) and frequency (days per week: 1 day = 888,129.3, 2-3 days = 1,199,897.9, and ≥4 days = 1,654,637.0). Aspirin metabolites were not monotonically associated with VPD, DV, or NDV. CONCLUSIONS Given the null results, additional research investigating the associations of aspirin metabolites in breast tissue and MBD is necessary. Impact: Elucidating the determinants of MBD, a strong risk factor for breast cancer, can play an important role in breast cancer prevention. Future studies should determine the associations of nonaspirin NSAID metabolites with MBD.
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Affiliation(s)
- Ramkrishna Kumar Singh
- Division of Public Health Sciences, Department of Surgery, Washington University, School of Medicine, St. Louis, Missouri, USA
| | - Kayla R. Getz
- Division of Public Health Sciences, Department of Surgery, Washington University, School of Medicine, St. Louis, Missouri, USA
| | - Joy K. Kyeyune
- University of Missouri School of Medicine, Columbia, MO, USA
| | - Myung Sik Jeon
- Division of Public Health Sciences, Department of Surgery, Washington University, School of Medicine, St. Louis, Missouri, USA
- Siteman Cancer Center Biostatistics Shared Resource, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Chongliang Luo
- Division of Public Health Sciences, Department of Surgery, Washington University, School of Medicine, St. Louis, Missouri, USA
- Siteman Cancer Center Biostatistics Shared Resource, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Jingqin Luo
- Division of Public Health Sciences, Department of Surgery, Washington University, School of Medicine, St. Louis, Missouri, USA
- Siteman Cancer Center Biostatistics Shared Resource, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Adetunji T. Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University, School of Medicine, St. Louis, Missouri, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
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Gabrielson M, Hammarström M, Bergqvist J, Lång K, Rosendahl AH, Borgquist S, Hellgren R, Czene K, Hall P. Baseline breast tissue characteristics determine the effect of tamoxifen on mammographic density change. Int J Cancer 2024; 155:339-351. [PMID: 38554131 DOI: 10.1002/ijc.34939] [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: 11/20/2023] [Revised: 02/25/2024] [Accepted: 02/29/2024] [Indexed: 04/01/2024]
Abstract
Tamoxifen prevents recurrence of breast cancer and is also approved for preventive, risk-reducing, therapy. Tamoxifen alters the breast tissue composition and decreases the mammographic density. We aimed to test if baseline breast tissue composition influences tamoxifen-associated density change. This biopsy-based study included 83 participants randomised to 6 months daily intake of placebo, 20, 10, 5, 2.5, or 1 mg tamoxifen. The study is nested within the double-blinded tamoxifen dose-determination trial Karolinska Mammography Project for Risk Prediction of Breast Cancer Intervention (KARISMA) Study. Ultrasound-guided core-needle breast biopsies were collected at baseline before starting treatment. Biopsies were quantified for epithelial, stromal, and adipose distributions, and epithelial and stromal expression of proliferation marker Ki67, oestrogen receptor (ER) and progesterone receptor (PR). Mammographic density was measured using STRATUS. We found that greater mammographic density at baseline was positively associated with stromal area and inversely associated with adipose area and stromal expression of ER. Premenopausal women had greater mammographic density and epithelial tissue, and expressed more epithelial Ki67, PR, and stromal PR, compared to postmenopausal women. In women treated with tamoxifen (1-20 mg), greater density decrease was associated with higher baseline density, epithelial Ki67, and stromal PR. Women who responded to tamoxifen with a density decrease had on average 17% higher baseline density and a 2.2-fold higher PR expression compared to non-responders. Our results indicate that features in the normal breast tissue before tamoxifen exposure influences the tamoxifen-associated density decrease, and that the age-associated difference in density change may be related to age-dependant differences in expression of Ki67 and PR.
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Affiliation(s)
- Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mattias Hammarström
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Bergqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Breast Centre, Department of Surgery, Capio St Görans Hospital, Stockholm, Sweden
| | - Kristina Lång
- Department of Translational Medicine, Diagnostic Radiology, Lund University, Lund, Sweden
| | - Ann H Rosendahl
- Department of Clinical Sciences Lund, Oncology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Signe Borgquist
- Department of Clinical Sciences Lund, Oncology, Lund University and Skåne University Hospital, Lund, Sweden
- Department of Oncology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
| | | | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, South General Hospital, Stockholm, Sweden
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5
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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.
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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.
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Sankhe CS, Sacco JL, Lawton J, Fair RA, Soares DVR, Aldahdooh MKR, Gomez ED, Gomez EW. Breast Cancer Cells Exhibit Mesenchymal-Epithelial Plasticity Following Dynamic Modulation of Matrix Stiffness. Adv Biol (Weinh) 2024:e2400087. [PMID: 38977422 DOI: 10.1002/adbi.202400087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 05/31/2024] [Indexed: 07/10/2024]
Abstract
Mesenchymal-epithelial transition (MET) is essential for tissue and organ development and is thought to contribute to cancer by enabling the establishment of metastatic lesions. Despite its importance in both health and disease, there is a lack of in vitro platforms to study MET and little is known about the regulation of MET by mechanical cues. Here, hyaluronic acid-based hydrogels with dynamic and tunable stiffnesses mimicking that of normal and tumorigenic mammary tissue are synthesized. The platform is then utilized to examine the response of mammary epithelial cells and breast cancer cells to dynamic modulation of matrix stiffness. Gradual softening of the hydrogels reduces proliferation and increases apoptosis of breast cancer cells. Moreover, breast cancer cells exhibit temporal changes in cell morphology, cytoskeletal organization, and gene expression that are consistent with mesenchymal-epithelial plasticity as the stiffness of the matrix is reduced. A reduction in matrix stiffness attenuates the expression of integrin-linked kinase, and inhibition of integrin-linked kinase impacts proliferation, apoptosis, and gene expression in cells cultured on stiff and dynamic hydrogels. Overall, these findings reveal intermediate epithelial/mesenchymal states as cells move along a matrix stiffness-mediated MET trajectory and suggest an important role for matrix mechanics in regulating mesenchymal-epithelial plasticity.
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Affiliation(s)
- Chinmay S Sankhe
- Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Jessica L Sacco
- Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Jacob Lawton
- Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Ryan A Fair
- Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | | | - Mohammed K R Aldahdooh
- Department of Chemistry, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Enrique D Gomez
- Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Esther W Gomez
- Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
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Goodspeed A, Bodlak A, Duffy AB, Nelson-Taylor S, Oike N, Porfilio T, Shirai R, Walker D, Treece A, Black J, Donaldson N, Cost C, Garrington T, Greffe B, Luna-Fineman S, Demedis J, Lake J, Danis E, Verneris M, Adams DL, Hayashi M. Characterization of transcriptional heterogeneity and novel therapeutic targets using single cell RNA-sequencing of primary and circulating Ewing sarcoma cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.18.576251. [PMID: 38293103 PMCID: PMC10827204 DOI: 10.1101/2024.01.18.576251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Ewing sarcoma is the second most common bone cancer in children, accounting for 2% of pediatric cancer diagnoses. Patients who present with metastatic disease at the time of diagnosis have a dismal prognosis, compared to the >70% 5-year survival of those with localized disease. Here, we utilized single cell RNA-sequencing to characterize the transcriptional landscape of primary Ewing sarcoma tumors and surrounding tumor microenvironment (TME). Copy-number analysis identified subclonal evolution within patients prior to treatment. Primary tumor samples demonstrate a heterogenous transcriptional landscape with several conserved gene expression programs, including those composed of genes related to proliferation and EWS targets. Single cell RNA-sequencing and immunofluorescence of circulating tumor cells at the time of diagnosis identified TSPAN8 as a novel therapeutic target.
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8
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Abrahamsson A, Boroojeni FR, Naeimipour S, Reustle N, Selegård R, Aili D, Dabrosin C. Increased matrix stiffness enhances pro-tumorigenic traits in a physiologically relevant breast tissue- monocyte 3D model. Acta Biomater 2024; 178:160-169. [PMID: 38382828 DOI: 10.1016/j.actbio.2024.02.021] [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] [Received: 09/01/2023] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 02/23/2024]
Abstract
High mammographic density, associated with increased tissue stiffness, is a strong risk factor for breast cancer per se. In postmenopausal women there is no differences in the occurrence of ductal carcinoma in situ (DCIS) depending on breast density. Preliminary data suggest that dense breast tissue is associated with a pro-inflammatory microenvironment including infiltrating monocytes. However, the underlying mechanism(s) remains largely unknown. A major roadblock to understanding this risk factor is the lack of relevant in vitro models. A biologically relevant 3D model with tunable stiffness was developed by cross-linking hyaluronic acid. Breast cancer cells were cultured with and without freshly isolated human monocytes. In a unique clinical setting, extracellular proteins were sampled using microdialysis in situ from women with various breast densities. We show that tissue stiffness resembling high mammographic density increases the attachment of monocytes to the cancer cells, increase the expression of adhesion molecules and epithelia-mesenchymal-transition proteins in estrogen receptor (ER) positive breast cancer. Increased tissue stiffness results in increased secretion of similar pro-tumorigenic proteins as those found in human dense breast tissue including inflammatory cytokines, proteases, and growth factors. ER negative breast cancer cells were mostly unaffected suggesting that diverse cancer cell phenotypes may respond differently to tissue stiffness. We introduce a biological relevant model with tunable stiffness that resembles the densities found in normal breast tissue in women. The model will be key for further mechanistic studies. Additionally, our data revealed several pro-tumorigenic pathways that may be exploited for prevention and therapy against breast cancer. STATEMENT OF SIGNIFICANCE: Women with mammographic high-density breasts have a 4-6-fold higher risk of breast cancer than low-density breasts. Biological mechanisms behind this increase are not fully understood and no preventive therapeutics are available. One major reason being a lack of suitable experimental models. Having such models available would greatly enhance the discovery of relevant targets for breast cancer prevention. We present a biologically relevant 3D-model for studies of human dense breasts, providing a platform for investigating both biophysical and biochemical properties that may affect cancer progression. This model will have a major scientific impact on studies for identification of novel targets for breast cancer prevention.
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Affiliation(s)
- Annelie Abrahamsson
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Fatemeh Rasti Boroojeni
- Laboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden
| | - Sajjad Naeimipour
- Laboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden
| | - Nina Reustle
- Laboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden
| | - Robert Selegård
- Laboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden
| | - Daniel Aili
- Laboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology, Linköping University, 581 83 Linköping, Sweden.
| | - Charlotta Dabrosin
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
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9
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Flaherty RL, Sflomos G, Brisken C. Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma? Endocrinology 2024; 165:bqae031. [PMID: 38551031 PMCID: PMC10988861 DOI: 10.1210/endocr/bqae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Indexed: 04/04/2024]
Abstract
Lobular carcinoma represent the most common special histological subtype of breast cancer, with the majority classed as hormone receptor positive. Rates of invasive lobular carcinoma in postmenopausal women have been seen to increase globally, while other hormone receptor-positive breast cancers proportionally have not followed the same trend. This has been linked to exposure to exogenous ovarian hormones such as hormone replacement therapy. Reproductive factors resulting in increased lifetime exposure to endogenous ovarian hormones have also been linked to an increased risk of lobular breast cancer, and taken together, these data make a case for the role of ovarian hormones in the genesis and progression of the disease. In this review, we summarize current understanding of the epidemiological associations between ovarian hormones and lobular breast cancer and highlight mechanistic links that may underpin the etiology and biology.
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Affiliation(s)
- Renée L Flaherty
- Division of Breast Cancer Research, The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK
| | - George Sflomos
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Cathrin Brisken
- Division of Breast Cancer Research, The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
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10
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Lundberg P, Abrahamsson A, Kihlberg J, Tellman J, Tomkeviciene I, Karlsson A, Kristoffersen Wiberg M, Warntjes M, Dabrosin C. Low-dose acetylsalicylic acid reduces local inflammation and tissue perfusion in dense breast tissue in postmenopausal women. Breast Cancer Res 2024; 26:22. [PMID: 38317255 PMCID: PMC10845760 DOI: 10.1186/s13058-024-01780-2] [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: 08/28/2023] [Accepted: 01/28/2024] [Indexed: 02/07/2024] Open
Abstract
PURPOSE One major risk factor for breast cancer is high mammographic density. It has been estimated that dense breast tissue contributes to ~ 30% of all breast cancer. Prevention targeting dense breast tissue has the potential to improve breast cancer mortality and morbidity. Anti-estrogens, which may be associated with severe side-effects, can be used for prevention of breast cancer in women with high risk of the disease per se. However, no preventive therapy targeting dense breasts is currently available. Inflammation is a hallmark of cancer. Although the biological mechanisms involved in the increased risk of cancer in dense breasts is not yet fully understood, high mammographic density has been associated with increased inflammation. We investigated whether low-dose acetylsalicylic acid (ASA) affects local breast tissue inflammation and/or structural and dynamic changes in dense breasts. METHODS Postmenopausal women with mammographic dense breasts on their regular mammography screen were identified. A total of 53 women were randomized to receive ASA 160 mg/day or no treatment for 6 months. Magnetic resonance imaging (MRI) was performed before and after 6 months for a sophisticated and continuous measure breast density by calculating lean tissue fraction (LTF). Additionally, dynamic quantifications including tissue perfusion were performed. Microdialysis for sampling of proteins in vivo from breasts and abdominal subcutaneous fat, as a measure of systemic effects, before and after 6 months were performed. A panel of 92 inflammatory proteins were quantified in the microdialysates using proximity extension assay. RESULTS After correction for false discovery rate, 20 of the 92 inflammatory proteins were significantly decreased in breast tissue after ASA treatment, whereas no systemic effects were detected. In the no-treatment group, protein levels were unaffected. Breast density, measured by LTF on MRI, were unaffected in both groups. ASA significantly decreased the perfusion rate. The perfusion rate correlated positively with local breast tissue concentration of VEGF. CONCLUSIONS ASA may shape the local breast tissue microenvironment into an anti-tumorigenic state. Trials investigating the effects of low-dose ASA and risk of primary breast cancer among postmenopausal women with maintained high mammographic density are warranted. Trial registration EudraCT: 2017-000317-22.
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Affiliation(s)
- Peter Lundberg
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Annelie Abrahamsson
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping, Sweden
| | - Johan Kihlberg
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Radiology and Department Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Jens Tellman
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Ieva Tomkeviciene
- Department of Radiology and Department Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Anette Karlsson
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Maria Kristoffersen Wiberg
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Radiology and Department Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Marcel Warntjes
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Charlotta Dabrosin
- Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping, Sweden.
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11
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Kumar R, Bhardwaj P, Soni M, Singh R, Choudhary S, Virmani N, Asrani RK, Patial V, Sharma D, Gupta VK, Tripathi BN. Modulation of mammary tumour progression using murine model by ethanol root extract of Saussurea costus (falc.) lipsch. JOURNAL OF ETHNOPHARMACOLOGY 2024; 319:117302. [PMID: 37858751 DOI: 10.1016/j.jep.2023.117302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/27/2023] [Accepted: 10/08/2023] [Indexed: 10/21/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Breast cancer is a major cause of death among human females across the globe. The anti-neoplastic agents or therapies used for the treatment of cancers can enhance longevity but are subsequently observed to deteriorate the quality of life due to the extensive side effects produced. Saussurea costus is a potential medicinal plant of the Himalayas with noticeable ethnopharmacological properties. The phytochemicals present in Saussurea costus are responsible for anti-carcinogenic potential and warranted nil or minimal side effects of Saussurea costus and directed to use this plant as a preventive or therapeutic drug candidate against cancers. AIM OF THE STUDY The present study was planned to evaluate the anti-neoplastic activity of Saussurea costus root extract (SL) in rat mammary tumour model. MATERIALS AND METHODS The anti-neoplastic activity of SL root extract at 3 different doses (100, 250 and 500 mg/kg BW) for 18 weeks against 12-dimethylbenz (a) anthracene (DMBA)-induced mammary tumours in Sprague Dawley (SD) female rats was analyzed through serum biochemistry (ALT, AST, ALP, Total protein, Creatinine and BUN), oxidative stress parameters (Lipid peroxidation, Catalase and Reduced glutathione), pro-inflammatory cytokines (TNF-α and NF-κB), immunohistochemical markers (Ki-67, MMP-9 and VEGF), real-time PCR (PCNA, p53, bax, bcl-2 and caspase-3, genes) and molecular docking. RESULTS Inhibition of tumour parameters, minimal alteration in the liver (ALT, AST and ALP) and kidney enzymes (Creatinine and BUN), decreased activity of MDA, elevated levels of GSH and catalase, reduction in the levels of pro-inflammatory cytokines i.e. TNF-α and NF-κB, reduced gross and histomorphological changes, declined expression of Ki-67, MMP-9 and VEGF in vivo rat model, mRNA expression of cancer-related genes and docking of dehydrocostus lactone and costunolide with NF-κB and TNF-α demonstrated the chemopreventive action of SL root extract. CONCLUSIONS The in-vivo trial elucidates anti-neoplastic activity of Saussurea costus root extract as demonstrated through the reduction of biochemical indices, oxidative stress parameters, histological changes, pro-inflammatory cytokines (NF-κB and TNF-α), cellular proliferation (Ki-67), metastases (MMP-9) and neovascularization (VEGF) markers with highest anti-neoplastic effect of SL extract at the dose of 500 mg/kg body weight. Therefore, the present study signifies the need to use the active principles present in the root extract of Saussurea costus against breast cancer as a therapeutic regimen.
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Affiliation(s)
- Rakesh Kumar
- Department of Veterinary Pathology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India.
| | - Pallavi Bhardwaj
- Department of Veterinary Pharmacology and Toxicology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India
| | - Mridul Soni
- Department of Veterinary Pathology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India
| | - Rahul Singh
- Department of Veterinary Pathology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India
| | - Sahil Choudhary
- Department of Veterinary Pathology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India
| | - Nitin Virmani
- ICAR- National Research Centre on Equines, Sirsa Road, Hisar, Haryana, 125001, India
| | - R K Asrani
- Department of Veterinary Pathology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India
| | - Vikram Patial
- Division of Dietetics and Nutrition Technology, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Dixit Sharma
- Department of Animal Sciences, Central University of Himachal Pradesh, Sahpur, Kangra, Himachal Pradesh, 176062, India
| | - V K Gupta
- Department of Veterinary Pathology, Dr. G.C Negi College of Veterinary and Animal Sciences, CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, 176062, India
| | - B N Tripathi
- Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST) of Jammu, Jammu and Kashmir, 180009, India.
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12
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Du W, Xia X, Hu F, Yu J. Extracellular matrix remodeling in the tumor immunity. Front Immunol 2024; 14:1340634. [PMID: 38332915 PMCID: PMC10850336 DOI: 10.3389/fimmu.2023.1340634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 12/28/2023] [Indexed: 02/10/2024] Open
Abstract
The extracellular matrix (ECM) is a significant constituent of tumors, fulfilling various essential functions such as providing mechanical support, influencing the microenvironment, and serving as a reservoir for signaling molecules. The abundance and degree of cross-linking of ECM components are critical determinants of tissue stiffness. In the process of tumorigenesis, the interaction between ECM and immune cells within the tumor microenvironment (TME) frequently leads to ECM stiffness, thereby disrupting normal mechanotransduction and promoting malignant progression. Therefore, acquiring a thorough comprehension of the dysregulation of ECM within the TME would significantly aid in the identification of potential therapeutic targets for cancer treatment. In this regard, we have compiled a comprehensive summary encompassing the following aspects: (1) the principal components of ECM and their roles in malignant conditions; (2) the intricate interaction between ECM and immune cells within the TME; and (3) the pivotal regulators governing the onco-immune response in ECM.
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Affiliation(s)
- Wei Du
- Department of Targeting Therapy and Immunology, West China Hospital, Sichuan University, Chengdu, China
| | - Xueming Xia
- Division of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Fan Hu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jiayun Yu
- Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
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13
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Northey JJ, Hayward MK, Yui Y, Stashko C, Kai F, Mouw JK, Thakar D, Lakins JN, Ironside AJ, Samson S, Mukhtar RA, Hwang ES, Weaver VM. Mechanosensitive hormone signaling promotes mammary progenitor expansion and breast cancer risk. Cell Stem Cell 2024; 31:106-126.e13. [PMID: 38181747 PMCID: PMC11050720 DOI: 10.1016/j.stem.2023.12.002] [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: 06/01/2023] [Revised: 09/19/2023] [Accepted: 12/06/2023] [Indexed: 01/07/2024]
Abstract
Tissue stem-progenitor cell frequency has been implicated in tumor risk and progression, but tissue-specific factors linking these associations remain ill-defined. We observed that stiff breast tissue from women with high mammographic density, who exhibit increased lifetime risk for breast cancer, associates with abundant stem-progenitor epithelial cells. Using genetically engineered mouse models of elevated integrin mechanosignaling and collagen density, syngeneic manipulations, and spheroid models, we determined that a stiff matrix and high mechanosignaling increase mammary epithelial stem-progenitor cell frequency and enhance tumor initiation in vivo. Augmented tissue mechanics expand stemness by potentiating extracellular signal-related kinase (ERK) activity to foster progesterone receptor-dependent RANK signaling. Consistently, we detected elevated phosphorylated ERK and progesterone receptors and increased levels of RANK signaling in stiff breast tissue from women with high mammographic density. The findings link fibrosis and mechanosignaling to stem-progenitor cell frequency and breast cancer risk and causally implicate epidermal growth factor receptor-ERK-dependent hormone signaling in this phenotype.
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Affiliation(s)
- Jason J Northey
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Mary-Kate Hayward
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Yoshihiro Yui
- Research Institute, Nozaki Tokushukai Hospital, Tanigawa 2-10-50, Daito, Osaka 574-0074, Japan
| | - Connor Stashko
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA
| | - FuiBoon Kai
- Department of Physiology & Pharmacology, University of Calgary, Calgary, AB T2N1N4, Canada; Department of Biochemistry & Molecular Biology, University of Calgary, Calgary, AB T2N1N4, Canada
| | - Janna K Mouw
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Dhruv Thakar
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jonathon N Lakins
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Alastair J Ironside
- Department of Pathology, Western General Hospital, NHS Lothian, Edinburgh EH42XU, UK
| | - Susan Samson
- UCSF Helen Diller Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Rita A Mukhtar
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - E Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Valerie M Weaver
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Center for Bioengineering and Tissue Regeneration, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Helen Diller Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Radiation Oncology, Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA 94143, USA.
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14
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Landén AH, Chin K, Kovács A, Holmberg E, Molnar E, Stenmark Tullberg A, Wärnberg F, Karlsson P. Evaluation of tumor-infiltrating lymphocytes and mammographic density as predictors of response to neoadjuvant systemic therapy in breast cancer. Acta Oncol 2023; 62:1862-1872. [PMID: 37934084 DOI: 10.1080/0284186x.2023.2274483] [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] [Received: 06/16/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Response rates vary among breast cancer patients treated with neoadjuvant systemic therapy (NAST). Thus, there is a need for reliable treatment predictors. Evidence suggests tumor-infiltrating lymphocytes (TILs) predict NAST response. Still, TILs are seldom used clinically as a treatment determinant. Mammographic density (MD) is another potential marker for NAST benefit and its relationship with TILs is unknown. Our aims were to investigate TILs and MD as predictors of NAST response and to study the unexplored relationship between TILs and MD. MATERIAL AND METHODS We studied 315 invasive breast carcinomas treated with NAST between 2013 and 2020. Clinicopathological data were retrieved from medical records. The endpoint was defined as pathological complete response (pCR) in the breast. TILs were evaluated in pre-treatment core biopsies and categorized as high (≥10%) or low (<10%). MD was scored (a-d) according to the breast imaging reporting and data system (BI-RADS) fifth edition. Binary logistic regression and Spearman's test of correlation were performed using SPSS. RESULTS Out of 315 carcinomas, 136 achieved pCR. 94 carcinomas had high TILs and 215 had low TILs. Six carcinomas had no available TIL data. The number of carcinomas in each BI-RADS category were 37, 122, 112, and 44 for a, b, c, and d, respectively. High TILs were independently associated with pCR (OR: 2.95; 95% CI: 1.59-5.46) compared to low TILs. In the univariable analysis, MD (BI-RADS d vs. a) showed a tendency of higher likelihood for pCR (OR: 2.43; 95% CI: 0.99-5.98). However, the association was non-significant, which is consistent with the result of the multivariable analysis (OR: 2.51; 95% CI: 0.78-8.04). We found no correlation between TILs and MD (0.02; p = .80). CONCLUSION TILs significantly predicted NAST response. We could not define MD as a significant predictor of NAST response. These findings should be further replicated.
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Affiliation(s)
- Amalia H Landén
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kian Chin
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Erik Holmberg
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eva Molnar
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Axel Stenmark Tullberg
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Wärnberg
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Per Karlsson
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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15
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Oey O, Sunjaya AF, Khan Y, Redfern A. Stromal inflammation, fibrosis and cancer: An old intuition with promising potential. World J Clin Oncol 2023; 14:230-246. [PMID: 37583950 PMCID: PMC10424089 DOI: 10.5306/wjco.v14.i7.230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/07/2023] [Accepted: 06/21/2023] [Indexed: 07/19/2023] Open
Abstract
It is now well established that the biology of cancer is influenced by not only malignant cells but also other components of the tumour microenvironment. Chronic inflammation and fibrosis have long been postulated to be involved in carcinogenesis. Chronic inflammation can promote tumorigenesis via growth factor/cytokine-mediated cellular proliferation, apoptotic resistance, immunosuppression; and free-radical-induced oxidative deoxyribonucleic acid damage. Fibrosis could cause a perturbation in the dynamics of the tumour microenvironment, potentially damaging the genome surveillance machinery of normal epithelial cells. In this review, we will provide an in-depth discussion of various diseases characterised by inflammation and fibrosis that have been associated with an increased risk of malignancy. In particular, we will present a comprehensive overview of the impact of alterations in stromal composition on tumorigenesis, induced as a consequence of inflammation and/or fibrosis. Strategies including the application of various therapeutic agents with stromal manipulation potential and targeted cancer screening for certain inflammatory diseases which can reduce the risk of cancer will also be discussed.
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Affiliation(s)
- Oliver Oey
- Faculty of Medicine, University of Western Australia, Perth 6009, Crawley NA, Australia
- Department of Medical Oncology, Sir Charles Gardner Hospital, Nedlands 6009, Australia
| | - Angela Felicia Sunjaya
- Institute of Cardiovascular Science, University College London, London WC1E 6DD, United Kingdom
| | - Yasir Khan
- Department of Medical Oncology, St John of God Midland Public and Private Hospital, Midland 6056, WA, Australia
| | - Andrew Redfern
- Department of Medical Oncology, Fiona Stanley Hospital, Murdoch 6150, WA, Australia
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16
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Conway JRW, Dinç DD, Follain G, Paavolainen O, Kaivola J, Boström P, Hartiala P, Peuhu E, Ivaska J. IGFBP2 secretion by mammary adipocytes limits breast cancer invasion. SCIENCE ADVANCES 2023; 9:eadg1840. [PMID: 37436978 DOI: 10.1126/sciadv.adg1840] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 06/08/2023] [Indexed: 07/14/2023]
Abstract
The progression of noninvasive ductal carcinoma in situ to invasive ductal carcinoma for patients with breast cancer results in a significantly poorer prognosis and is the precursor to metastatic disease. In this work, we have identified insulin-like growth factor-binding protein 2 (IGFBP2) as a potent adipocrine factor secreted by healthy breast adipocytes that acts as a barrier against invasive progression. In line with this role, adipocytes differentiated from patient-derived stromal cells were found to secrete IGFBP2, which significantly inhibited breast cancer invasion. This occurred through binding and sequestration of cancer-derived IGF-II. Moreover, depletion of IGF-II in invading cancer cells using small interfering RNAs or an IGF-II-neutralizing antibody ablated breast cancer invasion, highlighting the importance of IGF-II autocrine signaling for breast cancer invasive progression. Given the abundance of adipocytes in the healthy breast, this work exposes the important role they play in suppressing cancer progression and may help expound upon the link between increased mammary density and poorer prognosis.
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Affiliation(s)
- James R W Conway
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
| | - Defne D Dinç
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Institute of Biomedicine, and Cancer Research Laboratory FICAN West, University of Turku, FI-20520 Turku, Finland
- Western Finnish Cancer Center (FICAN West), University of Turku and Turku University Hospital, FI-20520 Turku, Finland
| | - Gautier Follain
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
| | - Oona Paavolainen
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Institute of Biomedicine, and Cancer Research Laboratory FICAN West, University of Turku, FI-20520 Turku, Finland
- Western Finnish Cancer Center (FICAN West), University of Turku and Turku University Hospital, FI-20520 Turku, Finland
| | - Jasmin Kaivola
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
| | - Pia Boström
- Department of Pathology, Turku University Hospital, 20520 Turku, Finland; University of Turku, 20520 Turku, Finland
| | - Pauliina Hartiala
- Department of Plastic and General Surgery, Turku University Hospital, 20520 Turku, Finland
- Medicity Research Laboratory, InFLAMES Research Flagship, University of Turku, Turku, Finland
| | - Emilia Peuhu
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Institute of Biomedicine, and Cancer Research Laboratory FICAN West, University of Turku, FI-20520 Turku, Finland
- Western Finnish Cancer Center (FICAN West), University of Turku and Turku University Hospital, FI-20520 Turku, Finland
| | - Johanna Ivaska
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Western Finnish Cancer Center (FICAN West), University of Turku and Turku University Hospital, FI-20520 Turku, Finland
- Department of Life Technologies, University of Turku, FI-20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
- Foundation for the Finnish Cancer Institute, Tukholmankatu 8, FI-00014 Helsinki, Finland
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17
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Zdanowski A, Sartor H, Feldt M, Skarping I. Mammographic density in relation to breast cancer recurrence and survival in women receiving neoadjuvant chemotherapy. Front Oncol 2023; 13:1177310. [PMID: 37388229 PMCID: PMC10304818 DOI: 10.3389/fonc.2023.1177310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/30/2023] [Indexed: 07/01/2023] Open
Abstract
Objective The association between mammographic density (MD) and breast cancer (BC) recurrence and survival remains unclear. Patients receiving neoadjuvant chemotherapy (NACT) are in a vulnerable situation with the tumor within the breast during treatment. This study evaluated the association between MD and recurrence/survival in BC patients treated with NACT. Methods Patients with BC treated with NACT in Sweden (2005-2016) were retrospectively included (N=302). Associations between MD (Breast Imaging-Reporting and Data System (BI-RADS) 5th Edition) and recurrence-free/BC-specific survival at follow-up (Q1 2022) were addressed. Hazard ratios (HRs) for recurrence/BC-specific survival (BI-RADS a/b/c vs. d) were estimated using Cox regression analysis and adjusted for age, estrogen receptor status, human epidermal growth factor receptor 2 status, axillary lymph node status, tumor size, and complete pathological response. Results A total of 86 recurrences and 64 deaths were recorded. The adjusted models showed that patients with BI-RADS d vs. BI-RADS a/b/c had an increased risk of recurrence (HR 1.96 (95% confidence interval (CI) 0.98-3.92)) and an increased risk of BC-specific death (HR 2.94 (95% CI 1.43-6.06)). Conclusion These findings raise questions regarding personalized follow-up for BC patients with extremely dense breasts (BI-RADS d) pre-NACT. More extensive studies are required to confirm our findings.
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Affiliation(s)
| | - Hanna Sartor
- Department of Translational Medicine, Diagnostic Radiology, Skåne University Hospital, Lund University, Lund/Malmö, Sweden
| | - Maria Feldt
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Oncology, Skåne University Hospital, Lund, Sweden
| | - Ida Skarping
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden
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18
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Archer M, Bernhardt SM, Hodson LJ, Woolford L, Van der Hoek M, Dasari P, Evdokiou A, Ingman WV. CCL2-Mediated Stromal Interactions Drive Macrophage Polarization to Increase Breast Tumorigenesis. Int J Mol Sci 2023; 24:ijms24087385. [PMID: 37108548 PMCID: PMC10138606 DOI: 10.3390/ijms24087385] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/12/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
CCL2 is an inflammatory cytokine that regulates macrophage activity and is implicated in increased mammographic density and early breast tumorigenesis. The role of CCL2 in mediating stromal interactions that contribute to breast tumorigenesis has yet to be fully elucidated. THP-1-derived macrophages and mammary fibroblasts were co-cultured for 72 h. Fibroblasts and macrophages were analysed for phenotype, expression of inflammatory and ECM-regulatory genes and collagen production. Mice overexpressing CCL2 in the mammary glands were analysed for global gene expression by RNAseq at 12 weeks of age. These mice were cross-bred with PyMT mammary tumour mice to examine the role of CCL2 in tumorigenesis. The co-culture of macrophages with fibroblasts resulted in macrophage polarization towards an M2 phenotype, and upregulated expression of CCL2 and other genes associated with inflammation and ECM remodelling. CCL2 increased the production of insoluble collagen by fibroblasts. A global gene expression analysis of CCL2 overexpressing mice revealed that CCL2 upregulates cancer-associated gene pathways and downregulates fatty acid metabolism gene pathways. In the PyMT mammary tumour model, CCL2 overexpressing mice exhibited increased macrophage infiltration and early tumorigenesis. Interactions between macrophages and fibroblasts regulated by CCL2 can promote an environment that may increase breast cancer risk, leading to enhanced early tumorigenesis.
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Affiliation(s)
- Maddison Archer
- Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5006, Australia
| | - Sarah M Bernhardt
- Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5006, Australia
| | - Leigh J Hodson
- Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5006, Australia
| | - Lucy Woolford
- School of Animal and Veterinary Sciences, Faculty of Sciences, Roseworthy Campus, University of Adelaide, Roseworthy, SA 5371, Australia
| | - Mark Van der Hoek
- South Australian Genomics Centre, South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
| | - Pallave Dasari
- Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5006, Australia
| | - Andreas Evdokiou
- Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
| | - Wendy V Ingman
- Discipline of Surgical Specialties, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5006, Australia
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19
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Yuan Z, Li Y, Zhang S, Wang X, Dou H, Yu X, Zhang Z, Yang S, Xiao M. Extracellular matrix remodeling in tumor progression and immune escape: from mechanisms to treatments. Mol Cancer 2023; 22:48. [PMID: 36906534 PMCID: PMC10007858 DOI: 10.1186/s12943-023-01744-8] [Citation(s) in RCA: 142] [Impact Index Per Article: 142.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/11/2023] [Indexed: 03/13/2023] Open
Abstract
The malignant tumor is a multi-etiological, systemic and complex disease characterized by uncontrolled cell proliferation and distant metastasis. Anticancer treatments including adjuvant therapies and targeted therapies are effective in eliminating cancer cells but in a limited number of patients. Increasing evidence suggests that the extracellular matrix (ECM) plays an important role in tumor development through changes in macromolecule components, degradation enzymes and stiffness. These variations are under the control of cellular components in tumor tissue via the aberrant activation of signaling pathways, the interaction of the ECM components to multiple surface receptors, and mechanical impact. Additionally, the ECM shaped by cancer regulates immune cells which results in an immune suppressive microenvironment and hinders the efficacy of immunotherapies. Thus, the ECM acts as a barrier to protect cancer from treatments and supports tumor progression. Nevertheless, the profound regulatory network of the ECM remodeling hampers the design of individualized antitumor treatment. Here, we elaborate on the composition of the malignant ECM, and discuss the specific mechanisms of the ECM remodeling. Precisely, we highlight the impact of the ECM remodeling on tumor development, including proliferation, anoikis, metastasis, angiogenesis, lymphangiogenesis, and immune escape. Finally, we emphasize ECM "normalization" as a potential strategy for anti-malignant treatment.
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Affiliation(s)
- Zhennan Yuan
- Department of Oncological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Yingpu Li
- Department of Oncological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Sifan Zhang
- Department of Neurobiology, Harbin Medical University, Harbin, 150081, China
| | - Xueying Wang
- Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - He Dou
- Department of Oncological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Xi Yu
- Department of Gynecological Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Zhiren Zhang
- NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.,Institute of Metabolic Disease, Heilongjiang Academy of Medical Science, Heilongjiang Key Laboratory for Metabolic Disorder and Cancer Related Cardiovascular Diseases, Harbin, 150001, China
| | - Shanshan Yang
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, 150000, China.
| | - Min Xiao
- Department of Oncological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
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20
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Kay JE, Cardona B, Rudel RA, Vandenberg LN, Soto AM, Christiansen S, Birnbaum LS, Fenton SE. Chemical Effects on Breast Development, Function, and Cancer Risk: Existing Knowledge and New Opportunities. Curr Environ Health Rep 2022; 9:535-562. [PMID: 35984634 PMCID: PMC9729163 DOI: 10.1007/s40572-022-00376-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Population studies show worrisome trends towards earlier breast development, difficulty in breastfeeding, and increasing rates of breast cancer in young women. Multiple epidemiological studies have linked these outcomes with chemical exposures, and experimental studies have shown that many of these chemicals generate similar effects in rodents, often by disrupting hormonal regulation. These endocrine-disrupting chemicals (EDCs) can alter the progression of mammary gland (MG) development, impair the ability to nourish offspring via lactation, increase mammary tissue density, and increase the propensity to develop cancer. However, current toxicological approaches to measuring the effects of chemical exposures on the MG are often inadequate to detect these effects, impairing our ability to identify exposures harmful to the breast and limiting opportunities for prevention. This paper describes key adverse outcomes for the MG, including impaired lactation, altered pubertal development, altered morphology (such as increased mammographic density), and cancer. It also summarizes evidence from humans and rodent models for exposures associated with these effects. We also review current toxicological practices for evaluating MG effects, highlight limitations of current methods, summarize debates related to how effects are interpreted in risk assessment, and make recommendations to strengthen assessment approaches. Increasing the rigor of MG assessment would improve our ability to identify chemicals of concern, regulate those chemicals based on their effects, and prevent exposures and associated adverse health effects.
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Affiliation(s)
| | | | | | - Laura N Vandenberg
- Department of Environmental Health Sciences, School of Public Health & Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Ana M Soto
- Tufts University School of Medicine, Boston, MA, USA
| | - Sofie Christiansen
- National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Linda S Birnbaum
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Suzanne E Fenton
- Mechanistic Toxicology Branch, Division of the National Toxicology Program, National Institutes of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
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21
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Portable NMR for quantification of breast density in vivo: Proof-of-concept measurements and comparison with quantitative MRI. Magn Reson Imaging 2022; 92:212-223. [PMID: 35843446 DOI: 10.1016/j.mri.2022.07.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/17/2022] [Accepted: 07/11/2022] [Indexed: 11/23/2022]
Abstract
Mammographic Density (MD) is the degree of radio-opacity of the breast in an X-ray mammogram. It is determined by the Fibroglandular: Adipose tissue ratio. MD has major implications in breast cancer risk and breast cancer chemoprevention. This study aimed to investigate the feasibility of accurate, low-cost quantification of MD in vivo without ionising radiation. We used single-sided portable nuclear magnetic resonance ("Portable NMR") due to its low cost and the absence of radiation-related safety concerns. Fifteen (N = 15) healthy female volunteers were selected for the study and underwent an imaging routine consisting of 2D X-ray mammography, quantitative breast 3T MRI (Dixon and T1-based 3D compositional breast imaging), and 1D compositional depth profiling of the right breast using Portable NMR. For each participant, all the measurements were made within 3-4 h of each other. MRI-determined tissue water content was used as the MD-equivalent quantity. Portable NMR depth profiles of tissue water were compared with the equivalent depth profiles reconstructed from Dixon and T1-based MR images, which were used as the MD-equivalent reference standard. The agreement between the depth profiles acquired using Portable NMR and the reconstructed reference-standard profiles was variable but overall encouraging. The agreement was somewhat inferior to that seen in breast tissue explant measurements conducted in vitro, where quantitative micro-CT was used as the reference standard. The lower agreement in vivo can be attributed to an uncertainty in the positioning of the Portable NMR sensor on the breast surface and breast compression in Portable NMR measurements. The degree of agreement between Portable NMR and quantitative MRI is encouraging. While the results call for further development of quantitative Portable NMR, they demonstrate the in-principle feasibility of Portable NMR-based quantitative compositional imaging in vivo and show promise for the development of safe and low-cost protocols for quantification of MD suitable for clinical applications.
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22
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Papanicolaou M, Parker AL, Yam M, Filipe EC, Wu SZ, Chitty JL, Wyllie K, Tran E, Mok E, Nadalini A, Skhinas JN, Lucas MC, Herrmann D, Nobis M, Pereira BA, Law AMK, Castillo L, Murphy KJ, Zaratzian A, Hastings JF, Croucher DR, Lim E, Oliver BG, Mora FV, Parker BL, Gallego-Ortega D, Swarbrick A, O'Toole S, Timpson P, Cox TR. Temporal profiling of the breast tumour microenvironment reveals collagen XII as a driver of metastasis. Nat Commun 2022; 13:4587. [PMID: 35933466 PMCID: PMC9357007 DOI: 10.1038/s41467-022-32255-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/22/2022] [Indexed: 01/21/2023] Open
Abstract
The tumour stroma, and in particular the extracellular matrix (ECM), is a salient feature of solid tumours that plays a crucial role in shaping their progression. Many desmoplastic tumours including breast cancer involve the significant accumulation of type I collagen. However, recently it has become clear that the precise distribution and organisation of matrix molecules such as collagen I is equally as important in the tumour as their abundance. Cancer-associated fibroblasts (CAFs) coexist within breast cancer tissues and play both pro- and anti-tumourigenic roles through remodelling the ECM. Here, using temporal proteomic profiling of decellularized tumours, we interrogate the evolving matrisome during breast cancer progression. We identify 4 key matrisomal clusters, and pinpoint collagen type XII as a critical component that regulates collagen type I organisation. Through combining our proteomics with single-cell transcriptomics, and genetic manipulation models, we show how CAF-secreted collagen XII alters collagen I organisation to create a pro-invasive microenvironment supporting metastatic dissemination. Finally, we show in patient cohorts that collagen XII may represent an indicator of breast cancer patients at high risk of metastatic relapse. The distribution and organisation of matrix molecules in the tumour stroma help shape solid tumour progression. Here they perform temporal proteomic profiling of the matrisome during breast cancer progression and show that collagen XII secreted from CAFs provides a pro-invasive microenvironment.
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Affiliation(s)
- Michael Papanicolaou
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Amelia L Parker
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Michelle Yam
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Elysse C Filipe
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Sunny Z Wu
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Jessica L Chitty
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Kaitlin Wyllie
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Emmi Tran
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Ellie Mok
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Audrey Nadalini
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Joanna N Skhinas
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Morghan C Lucas
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia
| | - David Herrmann
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Max Nobis
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Brooke A Pereira
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Andrew M K Law
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia
| | - Lesley Castillo
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia
| | - Kendelle J Murphy
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Anaiis Zaratzian
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia
| | - Jordan F Hastings
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia
| | - David R Croucher
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Elgene Lim
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Brian G Oliver
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.,Woolcock Institute of Medical Research, Respiratory Cellular and Molecular Biology, The University of Sydney, Sydney, NSW, Australia
| | - Fatima Valdes Mora
- Cancer Epigenetic Biology and Therapeutics, Personalised Medicine, Children's Cancer Institute, Sydney, NSW, 2031, Australia.,School of Women's and Children's Health, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Benjamin L Parker
- Metabolic Systems Biology Laboratory, Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
| | - David Gallego-Ortega
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.,School of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia
| | - Alexander Swarbrick
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | - Sandra O'Toole
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia.,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.,Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
| | - Paul Timpson
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia. .,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia. .,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
| | - Thomas R Cox
- The Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Sydney, NSW, Australia. .,Cancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia. .,School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia.
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23
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Vissers TACM, Piek L, Patuleia SIS, Duinmeijer AJ, Bakker MF, van der Wall E, van Diest PJ, van Gils CH, Moelans CB. Elevated miR-29c-5p Expression in Nipple Aspirate Fluid Is Associated with Extremely High Mammographic Breast Density. Cancers (Basel) 2022; 14:cancers14153805. [PMID: 35954468 PMCID: PMC9367509 DOI: 10.3390/cancers14153805] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/25/2022] Open
Abstract
Simple Summary High mammographic density is a known risk factor for breast cancer. However, the underlying mechanisms of high mammographic density development and breast cancer are unknown. MicroRNAs are potential biomarkers indicative of carcinogenesis and can be assessed in nipple aspirate fluid. We used nipple aspirate fluid from women with very low and extremely high mammographic density to examine differences in expression of multiple miRNAs between both extremes in the spectrum of mammographic density. We found that hsa-miR-29c-5p was upregulated in an extremely high mammographic density context and potential targets were identified that might provide clues of the relationship between high mammographic density and breast cancer risk. Understanding the relationship between high mammographic density and breast cancer is of great value for early breast cancer diagnosis and treatment. With our research we provide new insight into this relationship and further research could determine the effects of dysregulated hsa-miR-29c-5p on the identified candidate targets. Abstract High mammographic density (MD) is associated with an increased risk of breast cancer, however the underlying mechanisms are largely unknown. This research aimed to identify microRNAs (miRNAs) that play a role in the development of extremely dense breast tissue. In the discovery phase, 754 human mature miRNAs were profiled in 21 extremely high MD- and 20 very low MD-derived nipple aspirate fluid (NAF) samples from healthy women. In the validation phase, candidate miRNAs were assessed in a cohort of 89 extremely high MD and 81 very low MD NAF samples from healthy women. Independent predictors of either extremely high MD or miRNA expression were identified by logistic regression and linear regression analysis, respectively. mRNA targets and pathways were identified through miRTarBase, TargetScan, and PANTHER pathway analysis. Statistical analysis identified four differentially expressed miRNAs during the discovery phase. During the validation, linear regression (p = 0.029; fold change = 2.10) and logistic regression (p = 0.048; odds ratio = 1.38) showed that hsa-miR-29c-5p was upregulated in extremely high MD-derived NAF. Identified candidate mRNA targets of hsa-miR-29c-5p are CFLAR, DNMT3A, and PTEN. Further validation and exploration of targets and downstream pathways of has-miR-29c-5p will provide better insight into the processes involved in the development of high MD and in the associated increased risk of breast cancer.
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Affiliation(s)
- Tessa A. C. M. Vissers
- Department of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Leonie Piek
- Department of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Susana I. S. Patuleia
- Department of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
- Department of Medical Oncology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Aafke J. Duinmeijer
- Department of Medical Oncology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Marije F. Bakker
- Department of Epidemiology of the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Elsken van der Wall
- Department of Medical Oncology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Paul J. van Diest
- Department of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Carla H. van Gils
- Department of Epidemiology of the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Cathy B. Moelans
- Department of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
- Correspondence: ; Tel.: +31-887-556-882
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24
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Patel BK, Pepin K, Brandt KR, Mazza GL, Pockaj BA, Chen J, Zhou Y, Northfelt DW, Anderson K, Kling JM, Vachon CM, Swanson KR, Nikkhah M, Ehman R. Association of breast cancer risk, density, and stiffness: global tissue stiffness on breast MR elastography (MRE). Breast Cancer Res Treat 2022; 194:79-89. [PMID: 35501423 PMCID: PMC9538705 DOI: 10.1007/s10549-022-06607-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 04/05/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE Quantify in vivo biomechanical tissue properties in various breast densities and in average risk and high-risk women using Magnetic Resonance Imaging (MRI)/MRE and examine the association between breast biomechanical properties and cancer risk based on patient demographics and clinical data. METHODS Patients with average risk or high-risk of breast cancer underwent 3.0 T breast MR imaging and elastography. Breast parenchymal enhancement (BPE), density (from most recent mammogram), stiffness, elasticity, and viscosity were recorded. Within each breast density group (non-dense versus dense), stiffness, elasticity, and viscosity were compared across risk groups (average versus high). Separately for stiffness, elasticity, and viscosity, a multivariable logistic regression model was used to evaluate whether the MRE parameter predicted risk status after controlling for clinical factors. RESULTS 50 average risk and 86 high-risk patients were included. Risk groups were similar in age, density, and menopausal status. Among patients with dense breasts, mean stiffness, elasticity, and viscosity were significantly higher in high-risk patients (N = 55) compared to average risk patients (N = 34; all p < 0.001). Stiffness remained a significant predictor of risk status (OR = 4.26, 95% CI [1.96, 9.25]) even after controlling for breast density, BPE, age, and menopausal status. Similar results were seen for elasticity and viscosity. CONCLUSION A structurally based, quantitative biomarker of tissue stiffness obtained from MRE is associated with differences in breast cancer risk in dense breasts. Tissue stiffness could provide a novel prognostic marker to help identify high-risk women with dense breasts who would benefit from increased surveillance and/or risk reduction measures.
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Affiliation(s)
- Bhavika K Patel
- Diagnostic Radiology, Mayo Clinic, 5777 E. Mayo Blvd., Phoenix, AZ, 85054, USA.
| | - Kay Pepin
- Diagnostic Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Gina L Mazza
- Department of Biostatistics, Mayo Clinic, Phoenix, AZ, USA
| | | | - Jun Chen
- Diagnostic Radiology, Mayo Clinic, Rochester, MN, USA
| | - Yuxiang Zhou
- Diagnostic Radiology, Mayo Clinic, 5777 E. Mayo Blvd., Phoenix, AZ, 85054, USA
| | | | | | - Juliana M Kling
- Department of Internal Medicine, Mayo Clinic, Phoenix, AZ, USA
| | | | | | - Mehdi Nikkhah
- School of Biological and Health Systems Engineering, Arizona State University, Phoenix, AZ, USA
- Biodesign Virginia G. Piper Center for Personalized Diagnostics, Arizona State University, Tempe, AZ, USA
| | - Richard Ehman
- Diagnostic Radiology, Mayo Clinic, Rochester, MN, USA
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25
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Sneider A, Kiemen A, Kim JH, Wu PH, Habibi M, White M, Phillip JM, Gu L, Wirtz D. Deep learning identification of stiffness markers in breast cancer. Biomaterials 2022; 285:121540. [PMID: 35537336 PMCID: PMC9873266 DOI: 10.1016/j.biomaterials.2022.121540] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/12/2022] [Accepted: 04/21/2022] [Indexed: 02/07/2023]
Abstract
While essential to our understanding of solid tumor progression, the study of cell and tissue mechanics has yet to find traction in the clinic. Determining tissue stiffness, a mechanical property known to promote a malignant phenotype in vitro and in vivo, is not part of the standard algorithm for the diagnosis and treatment of breast cancer. Instead, clinicians routinely use mammograms to identify malignant lesions and radiographically dense breast tissue is associated with an increased risk of developing cancer. Whether breast density is related to tumor tissue stiffness, and what cellular and non-cellular components of the tumor contribute the most to its stiffness are not well understood. Through training of a deep learning network and mechanical measurements of fresh patient tissue, we create a bridge in understanding between clinical and mechanical markers. The automatic identification of cellular and extracellular features from hematoxylin and eosin (H&E)-stained slides reveals that global and local breast tissue stiffness best correlate with the percentage of straight collagen. Importantly, the percentage of dense breast tissue does not directly correlate with tissue stiffness or straight collagen content.
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Affiliation(s)
- Alexandra Sneider
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Ashley Kiemen
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Joo Ho Kim
- Department of Materials Science and Engineering, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Pei-Hsun Wu
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Mehran Habibi
- Johns Hopkins Breast Center, Johns Hopkins Bayview Medical Center, 4940 Eastern Ave, Baltimore, MD, 21224, USA
| | - Marissa White
- Department of Pathology, Johns Hopkins School of Medicine, 401 N Broadway, Baltimore, MD, 21231, USA
| | - Jude M. Phillip
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA,Department of Biomedical Engineering, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Luo Gu
- Department of Materials Science and Engineering, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Denis Wirtz
- Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA,Department of Pathology, Johns Hopkins School of Medicine, 401 N Broadway, Baltimore, MD, 21231, USA,Department of Oncology, Johns Hopkins School of Medicine, 1800 Orleans St, Baltimore, MD, 21205, USA,Corresponding author. Department of Chemical and Biomolecular Engineering, Johns Hopkins Physical Sciences-Oncology Center, and Institute for NanoBioTechnology, Johns Hopkins University, 3400 N Charles St, Baltimore, MD, 21218, USA., (D. Wirtz)
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26
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The association between breast density and breast cancer pathological response to neoadjuvant chemotherapy. Breast Cancer Res Treat 2022; 194:385-392. [PMID: 35606616 PMCID: PMC9239960 DOI: 10.1007/s10549-022-06616-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 04/30/2022] [Indexed: 11/21/2022]
Abstract
Purpose Mammographic Density (MD) refers to the amount of fibroglandular breast tissue present in the breast and is an established risk factor for developing breast cancer. The ability to evaluate treatment response dynamically renders neoadjuvant chemotherapy (NACT) the preferred treatment option in many clinical scenarios. Previous studies have suggested that MD can predict patients likely to achieve a pathological complete response (pCR) to NACT. We aimed to determine whether there is a causal relationship between BI-RADS breast composition categories for breast density at diagnosis and the pCR rate and residual cancer burden score (RCB) by performing a retrospective review on consecutive breast cancer patients who received NACT in a tertiary referral centre from 2015 to 2021. Methods The Mann–Whitney U Test was used to test for differences between two independent groups (i.e. those who achieved pCR and those who did not). A binary logistic regression model was used to estimate odds ratios (OR) and corresponding 95% confidence intervals (CI) for an association between the independent variables of molecular subtype, MD, histological grade and FNA positivity and the dependant variable of pCR. Statistical analysis was conducted with SPSS (IBM SPSS for Mac, Version 26.0; IBM Corp). Results 292 patients were included in the current study. There were 124, 155 and 13 patients in the BI-RADS MD category b, c and d, respectively. There were no patients in the BI-RADS MD category a. The patients with less dense breast composition (MD category b) were significantly older than patients with denser breast composition (MD category c, d) (p = 0.001) and patients who had a denser breast composition (MD category d) were more likely to have ER+ tumours. There was no significant difference in PgR status, HER2 status, pathological complete response (pCR), FNA positivity, or RCB class dependent upon the three MD categories. A binary logistic regression revealed that patients with HER2-enriched breast cancer and triple-negative breast cancer are more likely to achieve pCR with an OR of 3.630 (95% CI 1.360–9.691, p = 0.010) and 2.445 (95% CI 1.131–5.288, p = 0.023), respectively. Conclusion Whilst dense MD was associated with ER positivity and these women were less likely to achieve a pCR, MD did not appear to independently predict pCR post-NACT.
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Coradini D, Ambrogi F. Differential expression of the genes coding for adipokines and epithelial cell polarity components in women with low and high mammographic density. Clin Breast Cancer 2022; 22:715-723. [DOI: 10.1016/j.clbc.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/03/2022] [Accepted: 05/16/2022] [Indexed: 11/30/2022]
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Abstract
Cancer is a complex disease and a significant cause of mortality worldwide. Over the course of nearly all cancer types, collagen within the tumor microenvironment influences emergence, progression, and metastasis. This review discusses collagen regulation within the tumor microenvironment, pathological involvement of collagen, and predictive values of collagen and related extracellular matrix components in main cancer types. A survey of predictive tests leveraging collagen assays using clinical cohorts is presented. A conclusion is that collagen has high predictive value in monitoring cancer processes and stratifying by outcomes. New approaches should be considered that continue to define molecular facets of collagen related to cancer.
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Alqurashi M, Momot KI, Aamry A, Almohammed H, Aamri H, Johary YH, Abolaban FA, Sulieman A. Sensing mammographic density using single-sided portable Nuclear Magnetic Resonance. Saudi J Biol Sci 2022; 29:2447-2454. [PMID: 35531236 PMCID: PMC9073015 DOI: 10.1016/j.sjbs.2021.12.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 12/05/2021] [Accepted: 12/09/2021] [Indexed: 12/28/2022] Open
Abstract
This research paper presents a quantitative approach to sensing mammographic density (MD) using single-sided portable Nuclear Magnetic Resonance (NMR). It focuses on three main techniques: spin-lattice relaxation (recovery) time (T1), spin-spin relaxation (decay) time (T2), and Diffusion (D) techniques by testing whether or not the aforementioned techniques are in agreement with the gold standard and with each other when used for scanning breast tissue specimens with a variety of mammographic densities (MDs). The high mammographic density (HMD), intermediate MD, and low mammographic density (LMD) regions of each slice were identified according to the mammogram images. Subsequently, the grayscale values for these regions were quantified. One region was measured from the first sample while the remaining ones were measured from the second sample. The same areas were then exposed to portable NMR, and the sequences used as following: the stimulated echo sequence for diffusion (D), the Carr-Purcell-Meiboom-Gill (CPMG) sequence for T2, and saturation recovery sequence for T1. The correlations between the grayscale values and NMR techniques were strongly correlated. The Pearson correlation coefficient, R, of T1 (%) versus grayscale value, D (%) versus grayscale value, and T2 (%) versus grayscale value, was 0.91, 0.91, and 0.93, respectively. Furthermore, the relative water content of the breast slices based on T1, T2, and diffusion (D) measurements were strongly in agreement with each other. The Pearson correlation coefficient, R, of D (%) versus T1 (%), D (%) versus T2 (%), and T1 (%) versus T2 (%), was 0.984, 0.966, and 0.9868, respectively. The three pulse sequences can be employed in a portable NMR device to deliver continuous quantitative measurements of MD in breast tissue samples. As a result, the method demonstrated to be acceptable for determining the distribution of MDs among breast tissue samples without the need for additional qualitative analysis.
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Affiliation(s)
- Maher Alqurashi
- Radiology Department, Ministry of Health, Riyadh, Saudi Arabia
| | - Konstantin I. Momot
- School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Australia
| | - Ali Aamry
- Nuclear Medicine Department, King Saud Medical City, Riyadh, Saudi Arabia
| | - H.I. Almohammed
- Department of Radiological Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, P.O Box 84428, Riyadh 11671, Saudi Arabia
| | - Hussin Aamri
- Medical Physics Department, King Saud University Medical City (KSUMC), Riyadh, Saudi Arabia
| | - Yehia H. Johary
- Medical Physics Department, General Directorate of Health Affairs in Aseer Region, Abha, Saudi Arabia
| | - Fouad A. Abolaban
- Nuclear Engineering Department, Faculty of Engineering, King Abdulaziz University, P. O. Box 80221, Jeddah 21589, Saudi Arabia
| | - Abdelmoneim Sulieman
- Radiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, P.O. Box 422, Alkharj 11942, Saudi Arabia
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Hieken TJ, Chen J, Chen B, Johnson S, Hoskin TL, Degnim AC, Walther-Antonio MR, Chia N. The breast tissue microbiome, stroma, immune cells and breast cancer. Neoplasia 2022; 27:100786. [PMID: 35366464 PMCID: PMC8971327 DOI: 10.1016/j.neo.2022.100786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/22/2022] [Accepted: 03/14/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Stromal and immune cell composition alterations in benign breast tissue associate with future cancer risk. Pilot data suggest the innate microbiome of normal breast tissue differs between women with and without breast cancer. Microbiome alterations might explain tissue microenvironment variations associated with disease status. METHODS Prospectively-collected sterile normal breast tissues from women with benign (n=16) or malignant (n=17) disease underwent 16SrRNA sequencing with Illumina MiSeq and Hybrid-denovo pipeline processing. Breast tissue was scored for fibrosis and fat percentages and immune cell infiltrates (lobulitis) classified as absent/mild/moderate/severe. Alpha and beta diversity were calculated on rarefied OTU data and associations analyzed with multiple linear regression and PERMANOVA. RESULTS Breast tissue stromal fat% was lower and fibrosis% higher in benign disease versus cancer (median 30% versus 60%, p=0.01, 70% versus 30%, p=0.002, respectively). The microbiome varied with stromal composition. Alpha diversity (Chao1) correlated with fat% (r=0.38, p=0.02) and fibrosis% (r=-0.32, p=0.05) and associated with different microbial populations as indicated by beta diversity metrics (weighted UniFrac, p=0.08, fat%, p=0.07, fibrosis%). Permutation testing with FDR control revealed taxa differences for fat% in Firmicutes, Bacilli, Bacillales, Staphylococcaceae and genus Staphylococcus, and fibrosis% in Firmicutes, Spirochaetes, Bacilli, Bacillales, Spirochaetales, Proteobacteria RF32, Sphingomonadales, Staphylococcaceae, and genera Clostridium, Staphylococcus, Spirochaetes, Actinobacteria Adlercreutzia. Moderate/severe lobulitis was more common in cancer (73%) than benign disease (13%), p=0.003, but no significant microbial associations were seen. CONCLUSION These data suggest a link between breast tissue stromal alterations and its microbiome, further supporting a connection between the breast tissue microenvironment and breast cancer.
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Affiliation(s)
- Tina J Hieken
- Department of Surgery, Mayo Clinic, Rochester, MN, United States.
| | - Jun Chen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Beiyun Chen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - Stephen Johnson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Tanya L Hoskin
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, United States
| | | | - Nicholas Chia
- Department of Surgery, Mayo Clinic, Rochester, MN, United States; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
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Hadadi E, Deschoemaeker S, Vicente Venegas G, Laoui D. Heterogeneity and function of macrophages in the breast during homeostasis and cancer. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2022; 367:149-182. [PMID: 35461657 DOI: 10.1016/bs.ircmb.2022.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Macrophages are diverse immune cells populating all tissues and adopting a unique tissue-specific identity. Breast macrophages play an essential role in the development and function of the mammary gland over one's lifetime. In the recent years, with the development of fate-mapping, imaging and scRNA-seq technologies we grew a better understanding of the origin, heterogeneity and function of mammary macrophages in homeostasis but also during breast cancer development. Here, we aim to provide a comprehensive review of the latest improvements in studying the macrophage heterogeneity in healthy mammary tissues and breast cancer.
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Affiliation(s)
- Eva Hadadi
- Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium; Lab of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Sofie Deschoemaeker
- Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium; Lab of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Gerard Vicente Venegas
- Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium; Lab of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Damya Laoui
- Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium; Lab of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.
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Archer M, Dasari P, Walsh D, Britt KL, Evdokiou A, Ingman WV. Immune Regulation of Mammary Fibroblasts and the Impact of Mammographic Density. J Clin Med 2022; 11:jcm11030799. [PMID: 35160252 PMCID: PMC8837019 DOI: 10.3390/jcm11030799] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/10/2022] [Accepted: 01/21/2022] [Indexed: 02/04/2023] Open
Abstract
Mammographic density is associated with a 4–6-fold increase in breast cancer risk independent of age and BMI. High mammographic density is characterized by breast tissue with high proportions of stroma comprised of fibroblasts, collagen, and immune cells. This study sought to investigate whether stromal fibroblasts from high mammographic density breast tissue contributes to increased extracellular matrix deposition and pro-tumorigenic signaling. Mammary fibroblasts were isolated from women with high and low mammographic density and exposed to immune factors myeloperoxidase (MPO), eosinophil peroxidase (EPO), transforming growth factor beta 1 (TGFB1) and tumour necrosis factor alpha (TNFA) for 72 h and profiled for expression of cancer-associated fibroblast and extracellular matrix regulation markers. No differences in gene expression profiles or collagen production were observed between fibroblasts with high or low mammographic density, and they did not have a differential response to immune mediators. MPO and EPO significantly increased the production of collagen 1. TGFB and TNFA induced variable changes in gene expression. Fibroblasts cultured in vitro from women with high mammographic density do not appear to be inherently different to those from women with low mammographic density. The function of fibroblasts in mammographic density-associated breast cancer risk is likely to be regulated by immune signals from surrounding cells in the microenvironment.
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Affiliation(s)
- Maddison Archer
- Discipline of Surgical Specialties, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA 5011, Australia; (M.A.); (P.D.); (D.W.); (A.E.)
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5001, Australia
| | - Pallave Dasari
- Discipline of Surgical Specialties, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA 5011, Australia; (M.A.); (P.D.); (D.W.); (A.E.)
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5001, Australia
| | - David Walsh
- Discipline of Surgical Specialties, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA 5011, Australia; (M.A.); (P.D.); (D.W.); (A.E.)
| | - Kara L. Britt
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia;
| | - Andreas Evdokiou
- Discipline of Surgical Specialties, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA 5011, Australia; (M.A.); (P.D.); (D.W.); (A.E.)
| | - Wendy V. Ingman
- Discipline of Surgical Specialties, Adelaide Medical School, The Queen Elizabeth Hospital, University of Adelaide, Adelaide, SA 5011, Australia; (M.A.); (P.D.); (D.W.); (A.E.)
- Robinson Research Institute, University of Adelaide, Adelaide, SA 5001, Australia
- Correspondence: ; Tel.: +61-882-226-141
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Mammographic density to predict response to neoadjuvant systemic breast cancer therapy. J Cancer Res Clin Oncol 2022; 148:775-781. [PMID: 35037102 DOI: 10.1007/s00432-021-03881-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 12/06/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Mammographic density (MD) is a risk factor for breast cancer (BC) development, and recurrence. However, its predictive value has been less studied. Herein, we challenged MD as a biomarker associated with response in patients treated with neoadjuvant therapy (NAT). METHODS Data on all NAT treated BC patients prospectively collected in the registry of Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy (2009-2019) were identified. Diagnostic mammograms were used to evaluate and score MD as categorized by the Breast Imaging-Reporting and Data System (BI-RADS), which identifies 4 levels of MD in keeping with relative increase of fibro-glandular over fat tissue. Each case was classified according to the following categories a (MD < 25%), b (26-50%), c (51-75%), and d (> 75%). The association between MD and pathological complete response (pCR), i.e., absence of BC cells in surgical specimens, was analyzed in multivariable setting used logistic regression models with adjustment for clinical and pathological variables. RESULTS A total of 442 patients were analyzed, 120 of which (27.1%) attained a pCR. BI-RADS categories a, b, c, and d accounted for 10.0%, 37.8%, 37.1% and 15.2% of cases. Corresponding pCR were 20.5%, 26.9%, 30.5%, 23.9%, respectively. At multivariable analysis, when compared to cases classified as BI-RADS a, those with denser breast showed an increased likelihood of pCR with odds ratio (OR) of 1.70, 2.79, and 1.47 for b, c and d categories, respectively (p = 0.0996), independently of age, BMI [OR underweight versus (vs) normal = 3.76], clinical nodal and tumor status (OR T1/Tx vs T4 = 3.87), molecular subtype (HER2-positive vs luminal = 10.74; triple-negative vs luminal = 8.19). In subgroup analyses, the association of MD with pCR was remarkable in triple-negative (ORs of b, c and d versus a: 1.85, 2.49 and 1.55, respectively) and HER2-positive BC cases (ORs 2.70, 3.23, and 1.16). CONCLUSION Patients with dense breast are more likely to attain a pCR at net of other predictive factors. The potential of MD to assist decisions on BC management and as a stratification factor in neoadjuvant clinical trials should be considered.
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Sanli DET, Yildirim D. Evaluation of the Effect of Age, Menopausal Status, and Parity on Breast Parenchyma Stiffness by Multiparametric Shear Wave Elastography. Acad Radiol 2022; 29 Suppl 1:S62-S68. [PMID: 34702676 DOI: 10.1016/j.acra.2021.09.021] [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] [Received: 08/23/2021] [Revised: 09/23/2021] [Accepted: 09/23/2021] [Indexed: 11/15/2022]
Abstract
RATIONALE AND OBJECTIVES To evaluate the relationship between quantitative breast parenchyma stiffness by using multiparametric shear wave elastography (mpSWE) and the potential risk factors of breast cancer. MATERIAL AND METHODS The Vmean, Vmax, Vmin, Vsd values were measured with mpSWE from each breast and each quadrant in all cases under and over the age of 40. Statistical analysis was performed to evaluate the relationship between breast stiffness and age, side, quadrant, menopausal status, mammographic breast density, and obstetric history. RESULTS The study cohort included 964 breasts of 482 patients, where 342 patients were ≥40 years of age; and 140 cases were <40 years of age with a mean age of 45.07 ± 10.96. No significant difference in breast stiffness was detected between right and left breasts (p > 0.05); however, upper quadrants were found to be stiffer than the lower quadrants (p < 0.05). The effect of age on all values was found to be significant (p < 0.05), and stiffness increased with age. All mpSWE values of post-menopausal cases were significantly higher (p < 0.05) than premenopausal cases. Nulliparous cases had higher values than cases with prior parity (p < 0.05). Cases with Type C and D breast density had higher stiffness values than those with Type A and Type B breast density. CONCLUSION Breast parenchyma shows increased stiffness in in post-menopausal, nulliparous and older patients and patients with dense breast density. Similar to the mammographic increased breast density, elastographically increased breast parenchymal stiffness may be used as a possible risk factor for breast cancer or as a predictor of breast cancer.
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Affiliation(s)
- Deniz Esin Tekcan Sanli
- Department of Medical Imaging Techniques, Vocational School of Health Services, Istanbul Rumeli University, Istanbul, Turkey; Department of Radiology, Acibadem Kozyatagi Hospital, Istanbul, Turkey.
| | - Duzgun Yildirim
- Department of Medical Imaging Techniques, Vocational School of Health, Acibadem University, Istanbul, Turkey
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Rømer AMA, Thorseth ML, Madsen DH. Immune Modulatory Properties of Collagen in Cancer. Front Immunol 2021; 12:791453. [PMID: 34956223 PMCID: PMC8692250 DOI: 10.3389/fimmu.2021.791453] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/22/2021] [Indexed: 12/22/2022] Open
Abstract
During tumor growth the extracellular matrix (ECM) undergoes dramatic remodeling. The normal ECM is degraded and substituted with a tumor-specific ECM, which is often of higher collagen density and increased stiffness. The structure and collagen density of the tumor-specific ECM has been associated with poor prognosis in several types of cancer. However, the reason for this association is still largely unknown. Collagen can promote cancer cell growth and migration, but recent studies have shown that collagens can also affect the function and phenotype of various types of tumor-infiltrating immune cells such as tumor-associated macrophages (TAMs) and T cells. This suggests that tumor-associated collagen could have important immune modulatory functions within the tumor microenvironment, affecting cancer progression as well as the efficacy of cancer immunotherapy. The effects of tumor-associated collagen on immune cells could help explain why a high collagen density in tumors is often correlated with a poor prognosis. Knowledge about immune modulatory functions of collagen could potentially identify targets for improving current cancer therapies or for development of new treatments. In this review, the current knowledge about the ability of collagen to influence T cell activity will be summarized. This includes direct interactions with T cells as well as induction of immune suppressive activity in other immune cells such as macrophages. Additionally, the potential effects of collagen on the efficacy of cancer immunotherapy will be discussed.
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Affiliation(s)
- Anne Mette Askehøj Rømer
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.,Department of Science and Environment, Roskilde University, Roskilde, Denmark
| | - Marie-Louise Thorseth
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.,Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Hargbøl Madsen
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.,Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
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Almeida R, Fang CY, Byrne C, Tseng M. Mammographic Breast Density and Acculturation: Longitudinal Analysis in Chinese Immigrants. J Immigr Minor Health 2021; 23:1223-1231. [PMID: 33040215 PMCID: PMC8035345 DOI: 10.1007/s10903-020-01107-1] [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] [Accepted: 10/03/2020] [Indexed: 11/29/2022]
Abstract
Breast cancer is the most common cancer in women. Asian American women have experienced steadily increasing breast cancer incidence rates over the past several decades. The increased rate might be in part due to acculturation. We tested the hypothesis that higher level of acculturation was associated with higher mammographic breast density (MBD), an indicator of breast cancer risk, in a cohort of 425 premenopausal Chinese immigrant women in Philadelphia. Generalized estimating equations accounted for repeated observations and adjusted for age, type of mammographic image, body mass index, months of breastfeeding, number of live births, age at first birth, and menopausal stage (pre, early peri, late peri, post). Results indicated that acculturation level was not associated with any of the MBD measures. Findings were contrary to our hypothesis and previous, cross-sectional studies. In this study population, reproductive factors had a greater effect on MBD than acculturation-related behaviors in adulthood.
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Affiliation(s)
- Rebeca Almeida
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA, USA
| | | | - Celia Byrne
- Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Marilyn Tseng
- Department of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Avenue, San Luis Obispo, CA, 93407, USA.
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Mammary collagen is under reproductive control with implications for breast cancer. Matrix Biol 2021; 105:104-126. [PMID: 34839002 DOI: 10.1016/j.matbio.2021.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 07/26/2021] [Accepted: 10/29/2021] [Indexed: 12/20/2022]
Abstract
Mammographically-detected breast density impacts breast cancer risk and progression, and fibrillar collagen is a key component of breast density. However, physiologic factors influencing collagen production in the breast are poorly understood. In female rats, we analyzed gene expression of the most abundantly expressed mammary collagens and collagen-associated proteins across a pregnancy, lactation, and weaning cycle. We identified a triphasic pattern of collagen gene regulation and evidence for reproductive state-dependent composition. An initial phase of collagen deposition occurred during pregnancy, followed by an active phase of collagen suppression during lactation. The third phase of collagen regulation occurred during weaning-induced mammary gland involution, which was characterized by increased collagen deposition. Concomitant changes in collagen protein abundance were confirmed by Masson's trichrome staining, second harmonic generation (SHG) imaging, and mass spectrometry. We observed similar reproductive-state dependent collagen patterns in human breast tissue obtained from premenopausal women. SHG analysis also revealed structural variation in collagen across a reproductive cycle, with higher packing density and more collagen fibers arranged perpendicular to the mammary epithelium in the involuting rat mammary gland compared to nulliparous and lactating glands. Involution was also characterized by high expression of the collagen cross-linking enzyme lysyl oxidase, which was associated with increased levels of cross-linked collagen. Breast cancer relevance is suggested, as we found that breast cancer diagnosed in recently postpartum women displayed gene expression signatures of increased collagen deposition and crosslinking compared to breast cancers diagnosed in age-matched nulliparous women. Using publically available data sets, we found this involution-like, collagen gene signature correlated with poor progression-free survival in breast cancer patients overall and in younger women. In sum, these findings of physiologic collagen regulation in the normal mammary gland may provide insight into normal breast function, the etiology of breast density, and inform breast cancer risk and outcomes.
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Bodelon C, Mullooly M, Pfeiffer RM, Fan S, Abubakar M, Lenz P, Vacek PM, Weaver DL, Herschorn SD, Johnson JM, Sprague BL, Hewitt S, Shepherd J, Malkov S, Keely PJ, Eliceiri KW, Sherman ME, Conklin MW, Gierach GL. Mammary collagen architecture and its association with mammographic density and lesion severity among women undergoing image-guided breast biopsy. Breast Cancer Res 2021; 23:105. [PMID: 34753492 PMCID: PMC8579610 DOI: 10.1186/s13058-021-01482-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/26/2021] [Indexed: 12/20/2022] Open
Abstract
Background Elevated mammographic breast density is a strong breast cancer risk factor with poorly understood etiology. Increased deposition of collagen, one of the main fibrous proteins present in breast stroma, has been associated with increased mammographic density. Collagen fiber architecture has been linked to poor outcomes in breast cancer. However, relationships of quantitative collagen fiber features assessed in diagnostic biopsies with mammographic density and lesion severity are not well-established. Methods Clinically indicated breast biopsies from 65 in situ or invasive breast cancer cases and 73 frequency matched-controls with a benign biopsy result were used to measure collagen fiber features (length, straightness, width, alignment, orientation and density (fibers/µm2)) using second harmonic generation microscopy in up to three regions of interest (ROIs) per biopsy: normal, benign breast disease, and cancer. Local and global mammographic density volumes were quantified in the ipsilateral breast in pre-biopsy full-field digital mammograms. Associations of fibrillar collagen features with mammographic density and severity of biopsy diagnosis were evaluated using generalized estimating equation models with an independent correlation structure to account for multiple ROIs within each biopsy section. Results Collagen fiber density was positively associated with the proportion of stroma on the biopsy slide (p < 0.001) and with local percent mammographic density volume at both the biopsy target (p = 0.035) and within a 2 mm perilesional ring (p = 0.02), but not with global mammographic density measures. As severity of the breast biopsy diagnosis increased at the ROI level, collagen fibers tended to be less dense, shorter, straighter, thinner, and more aligned with one another (p < 0.05). Conclusions Collagen fiber density was positively associated with local, but not global, mammographic density, suggesting that collagen microarchitecture may not translate into macroscopic mammographic features. However, collagen fiber features may be markers of cancer risk and/or progression among women referred for biopsy based on abnormal breast imaging. Supplementary Information The online version contains supplementary material available at 10.1186/s13058-021-01482-z.
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Affiliation(s)
- Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA.
| | - Maeve Mullooly
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Petra Lenz
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - Pamela M Vacek
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Donald L Weaver
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Sally D Herschorn
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Jason M Johnson
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brian L Sprague
- University of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, USA
| | - Stephen Hewitt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
| | - John Shepherd
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | - Patricia J Keely
- Department of Cell and Regenerative Biology and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Ave., WIMR II Rm. 4528, Madison, WI, 53705, USA
| | - Kevin W Eliceiri
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Matthew W Conklin
- Department of Cell and Regenerative Biology and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Ave., WIMR II Rm. 4528, Madison, WI, 53705, USA.
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Rm 7-E238, Bethesda, MD, 20892, USA
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Lelièvre SA. Can the epigenome contribute to risk stratification for cancer onset? NAR Cancer 2021; 3:zcab043. [PMID: 34734185 PMCID: PMC8559165 DOI: 10.1093/narcan/zcab043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/10/2021] [Accepted: 10/27/2021] [Indexed: 12/12/2022] Open
Abstract
The increasing burden of cancer requires identifying and protecting individuals at highest risk. The epigenome provides an indispensable complement to genetic alterations for a risk stratification approach for the following reasons: gene transcription necessary for cancer onset is directed by epigenetic modifications and many risk factors studied so far have been associated with alterations related to the epigenome. The risk level depends on the plasticity of the epigenome during phases of life particularly sensitive to environmental and dietary impacts. Modifications in the activity of DNA regulatory regions and altered chromatin compaction may accumulate, hence leading to the increase of cancer risk. Moreover, tissue architecture directs the unique organization of the epigenome for each tissue and cell type, which allows the epigenome to control cancer risk in specific organs. Investigations of epigenetic signatures of risk should help identify a continuum of alterations leading to a threshold beyond which the epigenome cannot maintain homeostasis. We propose that this threshold may be similar in the population for a given tissue, but the pace to reach this threshold will depend on the combination of germline inheritance and the risk and protective factors encountered, particularly during windows of epigenetic susceptibility, by individuals.
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Affiliation(s)
- Sophie A Lelièvre
- Institut de Cancérologie de l'Ouest (ICO)-Western Cancer Institute, Scientific Direction for Translational Research, Angers, France
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40
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Biological Mechanisms and Therapeutic Opportunities in Mammographic Density and Breast Cancer Risk. Cancers (Basel) 2021; 13:cancers13215391. [PMID: 34771552 PMCID: PMC8582527 DOI: 10.3390/cancers13215391] [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: 09/24/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 12/13/2022] Open
Abstract
Mammographic density is an important risk factor for breast cancer; women with extremely dense breasts have a four to six fold increased risk of breast cancer compared to women with mostly fatty breasts, when matched with age and body mass index. High mammographic density is characterised by high proportions of stroma, containing fibroblasts, collagen and immune cells that suggest a pro-tumour inflammatory microenvironment. However, the biological mechanisms that drive increased mammographic density and the associated increased risk of breast cancer are not yet understood. Inflammatory factors such as monocyte chemotactic protein 1, peroxidase enzymes, transforming growth factor beta, and tumour necrosis factor alpha have been implicated in breast development as well as breast cancer risk, and also influence functions of stromal fibroblasts. Here, the current knowledge and understanding of the underlying biological mechanisms that lead to high mammographic density and the associated increased risk of breast cancer are reviewed, with particular consideration to potential immune factors that may contribute to this process.
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Zirbes A, Joseph J, Lopez JC, Sayaman RW, Basam M, Seewaldt VL, LaBarge MA. Changes in Immune Cell Types with Age in Breast are Consistent with a Decline in Immune Surveillance and Increased Immunosuppression. J Mammary Gland Biol Neoplasia 2021; 26:247-261. [PMID: 34341887 PMCID: PMC8566425 DOI: 10.1007/s10911-021-09495-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/19/2021] [Indexed: 12/22/2022] Open
Abstract
A majority of breast cancers (BC) are age-related and we seek to determine what cellular and molecular changes occur in breast tissue with age that make women more susceptible to cancer initiation. Immune-epithelial cell interactions are important during mammary gland development and the immune system plays an important role in BC progression. The composition of human immune cell populations is known to change in peripheral blood with age and in breast tissue during BC progression. Less is known about changes in immune populations in normal breast tissue and how their interactions with mammary epithelia change with age. We quantified densities of T cells, B cells, and macrophage subsets in pathologically normal breast tissue from 122 different women who ranged in age from 24 to 74 years old. Donor-matched peripheral blood from a subset of 20 donors was analyzed by flow cytometry. Tissue immune cell densities and localizations relative to the epithelium were quantified in situ with machine learning-based image analyses of multiplex immunohistochemistry-stained tissue sections. In situ results were corroborated with flow cytometry analyses of peri-epithelial immune cells from primary breast tissue preparations and transcriptome analyses of public data from bulk tissue reduction mammoplasties. Proportions of immune cell subsets in breast tissue and donor-matched peripheral blood were not correlated. Density (cells/mm2) of T and B lymphocytes in situ decreased with age. T cells and macrophages preferentially localized near or within epithelial bilayers, rather than the intralobular stroma. M2 macrophage density was higher than M1 macrophage density and this difference was due to higher density of M2 in the intralobular stroma. Transcriptional signature analyses suggested age-dependent decline in adaptive immune cell populations and functions and increased innate immune cell activity. T cells and macrophages are so intimately associated with the epithelia that they are embedded within the bilayer, suggesting an important role for immune-epithelial cell interactions. Age-associated decreased T cell density in peri-epithelial regions, and increased M2 macrophage density in intralobular stroma suggests the emergence of a tissue microenvironment that is simultaneously immune-senescent and immunosuppressive with age.
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Affiliation(s)
- Arrianna Zirbes
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA
- Irell and Manella Graduate School of Biological Sciences, City of Hope, Duarte, CA, USA
| | - Jesuchristopher Joseph
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA
| | - Jennifer C Lopez
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA
| | - Rosalyn W Sayaman
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA
- Center for Cancer and Aging, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Cancer Metabolism Training Program, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Mudaser Basam
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA
| | - Victoria L Seewaldt
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA
| | - Mark A LaBarge
- Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, 1500 E Duarte Road, Duarte, CA, 91010, USA.
- Center for Cancer and Aging, Beckman Research Institute, City of Hope, Duarte, CA, USA.
- Centre for Cancer Biomarkers CCBIO, University of Bergen, Bergen, Norway.
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42
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Reye G, Huang X, Haupt LM, Murphy RJ, Northey JJ, Thompson EW, Momot KI, Hugo HJ. Mechanical Pressure Driving Proteoglycan Expression in Mammographic Density: a Self-perpetuating Cycle? J Mammary Gland Biol Neoplasia 2021; 26:277-296. [PMID: 34449016 PMCID: PMC8566410 DOI: 10.1007/s10911-021-09494-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 07/05/2021] [Indexed: 12/23/2022] Open
Abstract
Regions of high mammographic density (MD) in the breast are characterised by a proteoglycan (PG)-rich fibrous stroma, where PGs mediate aligned collagen fibrils to control tissue stiffness and hence the response to mechanical forces. Literature is accumulating to support the notion that mechanical stiffness may drive PG synthesis in the breast contributing to MD. We review emerging patterns in MD and other biological settings, of a positive feedback cycle of force promoting PG synthesis, such as in articular cartilage, due to increased pressure on weight bearing joints. Furthermore, we present evidence to suggest a pro-tumorigenic effect of increased mechanical force on epithelial cells in contexts where PG-mediated, aligned collagen fibrous tissue abounds, with implications for breast cancer development attributable to high MD. Finally, we summarise means through which this positive feedback mechanism of PG synthesis may be intercepted to reduce mechanical force within tissues and thus reduce disease burden.
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Affiliation(s)
- Gina Reye
- School of Biomedical Sciences, Gardens Point, Queensland University of Technology (QUT), Kelvin Grove, QLD, 4059, Australia
- Translational Research Institute, Woolloongabba, QLD, Australia
| | - Xuan Huang
- School of Biomedical Sciences, Gardens Point, Queensland University of Technology (QUT), Kelvin Grove, QLD, 4059, Australia
- Translational Research Institute, Woolloongabba, QLD, Australia
| | - Larisa M Haupt
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), 60 Musk Ave, Kelvin Grove, QLD, 4059, Australia
| | - Ryan J Murphy
- School of Mathematical Sciences, Gardens Point, Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia
| | - Jason J Northey
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Erik W Thompson
- School of Biomedical Sciences, Gardens Point, Queensland University of Technology (QUT), Kelvin Grove, QLD, 4059, Australia
- Translational Research Institute, Woolloongabba, QLD, Australia
| | - Konstantin I Momot
- School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Honor J Hugo
- School of Biomedical Sciences, Gardens Point, Queensland University of Technology (QUT), Kelvin Grove, QLD, 4059, Australia.
- Translational Research Institute, Woolloongabba, QLD, Australia.
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43
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Dance YW, Meshulam T, Seibel AJ, Obenreder MC, Layne MD, Nelson CM, Tien J. Adipose Stroma Accelerates the Invasion and Escape of Human Breast Cancer Cells from an Engineered Microtumor. Cell Mol Bioeng 2021; 15:15-29. [DOI: 10.1007/s12195-021-00697-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/09/2021] [Indexed: 10/20/2022] Open
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Lee KH, Chae SW, Yun JS, Park YL, Park CH. Association between skeletal muscle mass and mammographic breast density. Sci Rep 2021; 11:16785. [PMID: 34408263 PMCID: PMC8373895 DOI: 10.1038/s41598-021-96390-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 08/09/2021] [Indexed: 11/09/2022] Open
Abstract
Mammographic density (MD) of the breast and body mass index (BMI) are inversely associated with each other, but have inconsistent associations with respect to the risk of breast cancer. Skeletal muscle mass index (SMI) has been considered to reflect a relatively accurate fat and muscle percentage in the body. So, we evaluated the relation between SMI and MD. A cross-sectional study was performed in 143,456 women who underwent comprehensive examinations from 2012 to 2016. BMI was adjusted to analyze whether SMI is an independent factor predicting dense breast. After adjustment for confounding factors including BMI, the odds ratios for MD for the dense breasts was between the highest and lowest quartiles of SMI at 2.65 for premenopausal women and at 2.39 for postmenopausal women. SMI was a significant predictor for MD, which could be due to the similar growth mechanism of the skeletal muscle and breast parenchymal tissue. Further studies are needed to understand the causal link between muscularity, MD and breast cancer risk.
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Affiliation(s)
- Kwan Ho Lee
- Department of Surgery, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seoung Wan Chae
- Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji Sup Yun
- Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Korea
| | - Yong Lai Park
- Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Korea
| | - Chan Heun Park
- Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181, Korea.
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45
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Tumor collagen framework from bright-field histology images predicts overall survival of breast carcinoma patients. Sci Rep 2021; 11:15474. [PMID: 34326378 PMCID: PMC8322324 DOI: 10.1038/s41598-021-94862-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 07/18/2021] [Indexed: 11/08/2022] Open
Abstract
Within the tumor microenvironment, specifically aligned collagen has been shown to stimulate tumor progression by directing the migration of metastatic cells along its structural framework. Tumor-associated collagen signatures (TACS) have been linked to breast cancer patient outcome. Robust and affordable methods for assessing biological information contained in collagen architecture need to be developed. We have developed a novel artificial neural network (ANN) based approach for tumor collagen segmentation from bright-field histology images and have tested it on a set of tissue microarray sections from early hormone receptor-positive invasive ductal breast carcinoma stained with Sirius Red (1 core per patient, n = 92). We designed and trained ANNs on sets of differently annotated image patches to segment collagen fibers and extracted 37 features of collagen fiber morphometry, density, orientation, texture, and fractal characteristics in the entire cohort. Independent instances of ANN models trained on highly differing annotations produced reasonably concordant collagen segmentation masks and allowed reliable prognostic Cox regression models (with likelihood ratios 14.11-22.99, at p-value < 0.05) superior to conventional clinical parameters (size of the primary tumor (T), regional lymph node status (N), histological grade (G), and patient age). Additionally, we noted statistically significant differences of collagen features between tumor grade groups, and the factor analysis revealed features resembling the TACS concept. Our proposed method offers collagen framework segmentation from bright-field histology images and provides novel image-based features for better breast cancer patient prognostication.
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46
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Reye G, Huang X, Britt KL, Meinert C, Blick T, Xu Y, Momot KI, Lloyd T, Northey JJ, Thompson EW, Hugo HJ. RASSF1A Suppression as a Potential Regulator of Mechano-Pathobiology Associated with Mammographic Density in BRCA Mutation Carriers. Cancers (Basel) 2021; 13:cancers13133251. [PMID: 34209669 PMCID: PMC8269117 DOI: 10.3390/cancers13133251] [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: 04/30/2021] [Revised: 06/23/2021] [Accepted: 06/26/2021] [Indexed: 01/26/2023] Open
Abstract
High mammographic density (MD) increases breast cancer (BC) risk and creates a stiff tissue environment. BC risk is also increased in BRCA1/2 gene mutation carriers, which may be in part due to genetic disruption of the tumour suppressor gene Ras association domain family member 1 (RASSF1A), a gene that is also directly regulated by tissue stiffness. High MD combined with BRCA1/2 mutations further increase breast cancer risk, yet BRCA1/2 mutations alone or in combination do not increase MD. The molecular basis for this additive effect therefore remains unclear. We studied the interplay between MD, stiffness, and BRCA1/2 mutation status in human mammary tissue obtained after prophylactic mastectomy from women at risk of developing BC. Our results demonstrate that RASSF1A expression increased in MCF10DCIS.com cell cultures with matrix stiffness up until ranges corresponding with BiRADs 4 stiffnesses (~16 kPa), but decreased in higher stiffnesses approaching malignancy levels (>50 kPa). Similarly, higher RASSF1A protein was seen in these cells when co-cultivated with high MD tissue in murine biochambers. Conversely, local stiffness, as measured by collagen I versus III abundance, repressed RASSF1A protein expression in BRCA1, but not BRCA2 gene mutated tissues; regional density as measured radiographically repressed RASSF1A in both BRCA1/2 mutated tissues. The combinatory effect of high MD and BRCA mutations on breast cancer risk may be due to RASSF1A gene repression in regions of increased tissue stiffness.
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Affiliation(s)
- Gina Reye
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD 4006, Australia; (G.R.); (X.H.); (T.B.); (E.W.T.)
- Translational Research Institute, Woolloongabba, QLD 4102, Australia
| | - Xuan Huang
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD 4006, Australia; (G.R.); (X.H.); (T.B.); (E.W.T.)
- Translational Research Institute, Woolloongabba, QLD 4102, Australia
| | - Kara L. Britt
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia;
| | - Christoph Meinert
- Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, QLD 4029, Australia;
- Gelomics Pty. Ltd., Brisbane, QLD 4059, Australia
| | - Tony Blick
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD 4006, Australia; (G.R.); (X.H.); (T.B.); (E.W.T.)
- Translational Research Institute, Woolloongabba, QLD 4102, Australia
| | - Yannan Xu
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD 4000, Australia;
| | - Konstantin I. Momot
- Faculty of Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4000, Australia;
| | - Thomas Lloyd
- Department of Radiology, The Princess Alexandra Hospital, Woollongabba, QLD 4102, Australia;
| | - Jason J. Northey
- Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA;
| | - Erik W. Thompson
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD 4006, Australia; (G.R.); (X.H.); (T.B.); (E.W.T.)
- Translational Research Institute, Woolloongabba, QLD 4102, Australia
| | - Honor J. Hugo
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD 4006, Australia; (G.R.); (X.H.); (T.B.); (E.W.T.)
- Translational Research Institute, Woolloongabba, QLD 4102, Australia
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
- School of Medicine and Dentistry, Griffith University, Birtinya, QLD 4575, Australia
- Correspondence:
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47
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Caini S, Fiorito G, Palli D, Bendinelli B, Polidoro S, Silvestri V, Ottini L, Ambrogetti D, Zanna I, Saieva C, Masala G. Pre-diagnostic DNA methylation patterns differ according to mammographic breast density amongst women who subsequently develop breast cancer: a case-only study in the EPIC-Florence cohort. Breast Cancer Res Treat 2021; 189:435-444. [PMID: 34101077 DOI: 10.1007/s10549-021-06273-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/25/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Mammographic breast density (MBD) is a marker of increased breast cancer (BC) risk, yet much remains to be clarified about the underlying mechanisms. We investigated whether DNA methylation patterns differ between high- vs. low-MBD women who developed BC during an 8.9-year median follow-up in the Florence section of the European Prospective Investigation into Cancer and Nutrition. METHODS We analysed 96 pairs of women with BC arising on high- vs. low-MBD breasts (BI-RADS category III-IV vs. I). DNA methylation was determined on pre-diagnostic blood samples using the Illumina Infinium MethylationEPIC BeadChip assay. The statistical analysis was conducted by performing an epigenome-wide association study (EWAS), by searching differentially methylated regions (DMRs) in gene promoters (followed by functional enrichment and gene annotation analysis); and through a "candidate pathways" approach focusing on pre-defined inflammation-related pathways. RESULTS In EWAS, no single CpG site was differentially methylated between high- and low-MBD women after correction for multiple testing. A total of 140 DMRs were identified, of which 131 were hyper- and 9 hypo-methylated amongst high-MBD women. These DMRs encompassed an annotation cluster of 35 genes coding for proteins implicated in transcription regulation and DNA binding. The "apoptosis signalling" was the only inflammation-related candidate pathway differentially methylated between high- and low-MBD women. CONCLUSION Pre-diagnostic methylation patterns differ between high- vs. low-MBD women who subsequently develop BC, particularly, in genes involved in the regulation of DNA transcription and cell apoptosis. Our study provides novel clues about the mechanisms linking MBD and BC.
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Affiliation(s)
- Saverio Caini
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy
| | - Giovanni Fiorito
- Laboratory of Biostatistics, Department of Biomedical Sciences, University of Sassari, Sassari, Italy.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College, London, UK
| | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy.
| | - Benedetta Bendinelli
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy
| | - Silvia Polidoro
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College, London, UK.,Italian Institute for Genomic Medicine (IIGM), Turin, Italy
| | | | - Laura Ottini
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Daniela Ambrogetti
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy
| | - Ines Zanna
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy
| | - Calogero Saieva
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, 50141, Florence, Italy
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48
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Wang T, Jin J, Qian C, Lou J, Lin J, Xu A, Xia K, Jin L, Liu B, Tao H, Yang Z, Yu W. Estrogen/ER in anti-tumor immunity regulation to tumor cell and tumor microenvironment. Cancer Cell Int 2021; 21:295. [PMID: 34098945 PMCID: PMC8182917 DOI: 10.1186/s12935-021-02003-w] [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: 03/24/2021] [Accepted: 06/01/2021] [Indexed: 12/14/2022] Open
Abstract
As the essential sexual hormone, estrogen and its receptor has been proved to participate in the regulation of autoimmunity diseases and anti-tumor immunity. The adjustment of tumor immunity is related to the interaction between cancer cells, immune cells and tumor microenvironment, all of which is considered as the potential target in estrogen-induced immune system regulation. However, the specific mechanism of estrogen-induced immunity is poorly understood. Typically, estrogen causes the nuclear localization of estrogen/estrogen receptor complex and alternates the transcription pattern of target genes, leading to the reprogramming of tumor cells and differentiation of immune cells. However, the estrogen-induced non-canonical signal pathway activation is also crucial to the rapid function of estrogen, such as NF-κB, MAPK-ERK, and β-catenin pathway activation, which has not been totally illuminated. So, the investigation of estrogen modulatory mechanisms in these two manners is vital for the tumor immunity and can provide the potential for endocrine hormone targeted cancer immunotherapy. Here, this review summarized the estrogen-induced canonical and non-canonical signal transduction pathway and aimed to focus on the relationship among estrogen and cancer immunity as well as immune-related tumor microenvironment regulation. Results from these preclinical researches elucidated that the estrogen-target therapy has the application prospect of cancer immunotherapy, which requires the further translational research of these treatment strategies.
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Affiliation(s)
- Tiecheng Wang
- Department of Orthopedics, Shengzhou People's Hospital, #666 Dangui Road, Shengzhou, 312400, Zhejiang, People's Republic of China
| | - Jiakang Jin
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Chao Qian
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Jianan Lou
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Jinti Lin
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Ankai Xu
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Kaishun Xia
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Libin Jin
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China
| | - Bing Liu
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China
| | - Huimin Tao
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China
| | - Zhengming Yang
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China.
| | - Wei Yu
- Department of Orthopedics, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, #88 Jiefang Road, Hangzhou, 310009, Zhejiang, People's Republic of China. .,Orthopedics Research Institute of Zhejiang University, No. 88, Jiefang Road, Hangzhou, 310009, People's Republic of China.
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Abstract
This Review focuses on the mechanistic evidence for a link between obesity, dysregulated cellular metabolism and breast cancer. Strong evidence now links obesity with the development of 13 different types of cancer, including oestrogen receptor-positive breast cancer in postmenopausal women. A number of local and systemic changes are hypothesized to support this relationship, including increased circulating levels of insulin and glucose as well as adipose tissue-derived oestrogens, adipokines and inflammatory mediators. Metabolic pathways of energy production and utilization are dysregulated in tumour cells and this dysregulation is a newly accepted hallmark of cancer. Dysregulated metabolism is also hypothesized to be a feature of non-neoplastic cells in the tumour microenvironment. Obesity-associated factors regulate metabolic pathways in both breast cancer cells and cells in the breast microenvironment, which provides a molecular link between obesity and breast cancer. Consequently, interventions that target these pathways might provide a benefit in postmenopausal women and individuals with obesity, a population at high risk of breast cancer.
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Affiliation(s)
- Kristy A Brown
- Sandra and Edward Meyer Cancer Center and Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
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Sartor H, Zackrisson S, Hegardt C, Larsson C. "Association of mammographic features with molecular breast tumor profiles". Cancer Treat Res Commun 2021; 28:100387. [PMID: 34004506 DOI: 10.1016/j.ctarc.2021.100387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/28/2021] [Accepted: 05/02/2021] [Indexed: 01/29/2023]
Abstract
PURPOSE Mammographic density and tumor appearance are breast cancer prognostic factors. Conceivably, mammographic features are macroscopic reflections of tumor´s molecular composition, but to an unknown extent. Our aim was to study associations of mammographic features with molecular tumor profiles. METHODS Invasive breast cancers (2007-2016) in Malmö Diet and Cancer Study (MDCS) for which there were tumor RNA-sequencing analyses within Sweden Cancerome Analysis Network - Breast (SCAN-B) (n=102) or All Breast Cancer in Malmö (ABIM) (n=50) were identified. Density (fatty vs. dense), tumor appearance (mass vs. spiculation), and intrinsic subtypes were registered. Differences in gene/metagene expression and Microenvironment Cell Population Counter were analyzed with R. Overall survival was used as endpoint. RESULTS No gene expression differences between density groups was observed. In one cohort (but not the other), Luminal A tumors associated with fatty breasts. For spiculation vs. mass, (p<0.01, t-test) 86 genes were differentially expressed; only one gene was differentially expressed comparing density. Gene set enrichment analysis showed genes highly expressed in spiculated tumors were enriched for extracellular matrix-associated genes whereas genes highly expressed with masses were associated with proliferation. A spiculation metagene, based on differentially expressed genes, showed association with estrogen receptor positivity, lower grade, and improved survival, but it was not an independent prognostic factor. CONCLUSION There are clear differences in molecular composition between breast tumors with a spiculated appearance vs. a mass as the dominant tumor appearance. However, there are no apparent molecular differences related to the density of the breast in which the tumor has arisen.
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Affiliation(s)
- Hanna Sartor
- Diagnostic Radiology, Department of Translational Medicine, Skåne University Hospital, Lund University, Sweden.
| | - Sophia Zackrisson
- Diagnostic Radiology, Department of Translational Medicine, Skåne University Hospital, Lund University, Sweden
| | - Cecilia Hegardt
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Christer Larsson
- Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden
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