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Li Y, Van Alsten SC, Lee DN, Kim T, Calhoun BC, Perou CM, Wobker SE, Marron JS, Hoadley KA, Troester MA. Visual Intratumor Heterogeneity and Breast Tumor Progression. Cancers (Basel) 2024; 16:2294. [PMID: 39001357 PMCID: PMC11240824 DOI: 10.3390/cancers16132294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 07/16/2024] Open
Abstract
High intratumoral heterogeneity is thought to be a poor prognostic indicator. However, the source of heterogeneity may also be important, as genomic heterogeneity is not always reflected in histologic or 'visual' heterogeneity. We aimed to develop a predictor of histologic heterogeneity and evaluate its association with outcomes and molecular heterogeneity. We used VGG16 to train an image classifier to identify unique, patient-specific visual features in 1655 breast tumors (5907 core images) from the Carolina Breast Cancer Study (CBCS). Extracted features for images, as well as the epithelial and stromal image components, were hierarchically clustered, and visual heterogeneity was defined as a greater distance between images from the same patient. We assessed the association between visual heterogeneity, clinical features, and DNA-based molecular heterogeneity using generalized linear models, and we used Cox models to estimate the association between visual heterogeneity and tumor recurrence. Basal-like and ER-negative tumors were more likely to have low visual heterogeneity, as were the tumors from younger and Black women. Less heterogeneous tumors had a higher risk of recurrence (hazard ratio = 1.62, 95% confidence interval = 1.22-2.16), and were more likely to come from patients whose tumors were comprised of only one subclone or had a TP53 mutation. Associations were similar regardless of whether the image was based on stroma, epithelium, or both. Histologic heterogeneity adds complementary information to commonly used molecular indicators, with low heterogeneity predicting worse outcomes. Future work integrating multiple sources of heterogeneity may provide a more comprehensive understanding of tumor progression.
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Affiliation(s)
- Yao Li
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sarah C Van Alsten
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Dong Neuck Lee
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Taebin Kim
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Benjamin C Calhoun
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Charles M Perou
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sara E Wobker
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - J S Marron
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Katherine A Hoadley
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Su R, Han J, Sun C, Zhang D, Geng J, Wang P, Zeng X. Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. Comput Biol Med 2024; 175:108441. [PMID: 38663353 DOI: 10.1016/j.compbiomed.2024.108441] [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: 01/11/2024] [Revised: 03/17/2024] [Accepted: 04/07/2024] [Indexed: 05/15/2024]
Abstract
At present, anti-cancer drug synergy therapy is one of the most important methods to overcome drug resistance and reduce drug toxicity in cancer treatment. High-throughput screening through deep learning can effectively improve the efficiency of discovering synergistic drugs. Nowadays, most of the existing deep learning algorithms for anti-cancer drug synergy prediction use deep neural networks and can only implicitly perform feature interaction. This study proposes a deep learning algorithm, named MolCross, which combines implicit feature interaction with explicit features to improve the accuracy of prediction of the anti-cancer drug synergy score. MolCross uses a deep autoencoder to extract features from high-dimensional input, uses the drug-specific subnetworks and cross-network to perform implicit feature interaction and explicit feature interaction respectively, and finally uses a synergy prediction network to combine the two feature interaction methods to obtain the final prediction results. We adopted a five-fold cross validation and compared MolCross with other four anti-cancer drug synergy prediction models. The results show that MolCross has better prediction performance than other models. MolCross also has good performance in terms of cross-cell line and cross-tissue type. Existing studies have demonstrated that cancer molecular subtypes have different sensitivities to targeted therapy. In this study, the features of cancer molecular subtype were introduced in the model using an embedding layer in MolCross to explore the effect of cancer molecular subtype on anti-cancer drug synergy. We also found that the cancer molecular subtype is one of the main factors affecting the synergy between drugs.
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Affiliation(s)
- Ran Su
- School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
| | - Jingyi Han
- School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
| | | | - Degan Zhang
- Tianjin Key Lab of Intelligent Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China.
| | - Jie Geng
- TianJin Chest Hospital, Tianjin University, No. 261, Taierzhuang South Road, Jinnan District, Tianjin, China.
| | - Ping Wang
- Tianjin Modern Innovative TCM Technology Co. Ltd., Tianjin, 300392, China.
| | - Xiaoyan Zeng
- The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
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John EM, Koo J, Phipps AI, Longacre TA, Kurian AW, Ingles SA, Wu AH, Hines LM. Reproductive characteristics, menopausal status, race and ethnicity, and risk of breast cancer subtypes defined by ER, PR and HER2 status: the Breast Cancer Etiology in Minorities study. Breast Cancer Res 2024; 26:88. [PMID: 38822357 PMCID: PMC11143591 DOI: 10.1186/s13058-024-01834-5] [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: 05/30/2023] [Accepted: 05/03/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND Associations between reproductive factors and risk of breast cancer differ by subtype defined by joint estrogen receptor (ER), progesterone receptor (PR), and HER2 expression status. Racial and ethnic differences in the incidence of breast cancer subtypes suggest etiologic heterogeneity, yet data are limited because most studies have included non-Hispanic White women only. METHODS We analyzed harmonized data for 2,794 breast cancer cases and 4,579 controls, of whom 90% self-identified as African American, Asian American or Hispanic. Questionnaire data were pooled from three population-based studies conducted in California and data on tumor characteristics were obtained from the California Cancer Registry. The study sample included 1,530 luminal A (ER-positive and/or PR-positive, HER2-negative), 442 luminal B (ER-positive and/or PR-positive, HER2-positive), 578 triple-negative (TN; ER-negative, PR-negative, HER2-negative), and 244 HER2-enriched (ER-negative, PR-negative, HER2-positive) cases. We used multivariable unconditional logistic regression models to estimate subtype-specific ORs and 95% confidence intervals associated with parity, breast-feeding, and other reproductive characteristics by menopausal status and race and ethnicity. RESULTS Subtype-specific associations with reproductive factors revealed some notable differences by menopausal status and race and ethnicity. Specifically, higher parity without breast-feeding was associated with higher risk of luminal A and TN subtypes among premenopausal African American women. In contrast, among Asian American and Hispanic women, regardless of menopausal status, higher parity with a breast-feeding history was associated with lower risk of luminal A subtype. Among premenopausal women only, luminal A subtype was associated with older age at first full-term pregnancy (FTP), longer interval between menarche and first FTP, and shorter interval since last FTP, with similar OR estimates across the three racial and ethnic groups. CONCLUSIONS Subtype-specific associations with reproductive factors overall and by menopausal status, and race and ethnicity, showed some differences, underscoring that understanding etiologic heterogeneity in racially and ethnically diverse study samples is essential. Breast-feeding is likely the only reproductive factor that is potentially modifiable. Targeted efforts to promote and facilitate breast-feeding could help mitigate the adverse effects of higher parity among premenopausal African American women.
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Affiliation(s)
- Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, 94304, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA.
- Stanford University School of Medicine, 3145 Porter Drive, Suite E223, Palo Alto, CA, 94504, USA.
| | - Jocelyn Koo
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Amanda I Phipps
- Department of Epidemiology, University of Washington, Seattle, WA, 98195, USA
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Teri A Longacre
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Allison W Kurian
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, 94304, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Sue A Ingles
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
| | - Lisa M Hines
- Department of Biology, University of Colorado at Colorado Springs, Colorado Springs, CO, 80918, USA
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Omilian AR, Cannioto R, Mendicino L, Stein L, Bshara W, Qin B, Bandera EV, Zeinomar N, Abrams SI, Hong CC, Yao S, Khoury T, Ambrosone CB. CD163 + macrophages in the triple-negative breast tumor microenvironment are associated with improved survival in the Women's Circle of Health Study and the Women's Circle of Health Follow-Up Study. Breast Cancer Res 2024; 26:75. [PMID: 38720366 PMCID: PMC11077737 DOI: 10.1186/s13058-024-01831-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Tumor-associated macrophages (TAMs) are a prominent immune subpopulation in the tumor microenvironment that could potentially serve as therapeutic targets for breast cancer. Thus, it is important to characterize this cell population across different tumor subtypes including patterns of association with demographic and prognostic factors, and breast cancer outcomes. METHODS We investigated CD163+ macrophages in relation to clinicopathologic variables and breast cancer outcomes in the Women's Circle of Health Study and Women's Circle of Health Follow-up Study populations of predominantly Black women with breast cancer. We evaluated 611 invasive breast tumor samples (507 from Black women, 104 from White women) with immunohistochemical staining of tissue microarray slides followed by digital image analysis. Multivariable Cox proportional hazards models were used to estimate hazard ratios for overall survival (OS) and breast cancer-specific survival (BCSS) for 546 cases with available survival data (median follow-up time 9.68 years (IQR: 7.43-12.33). RESULTS Women with triple-negative breast cancer showed significantly improved OS in relation to increased levels of tumor-infiltrating CD163+ macrophages in age-adjusted (Q3 vs. Q1: HR = 0.36; 95% CI 0.16-0.83) and fully adjusted models (Q3 vs. Q1: HR = 0.30; 95% CI 0.12-0.73). A similar, but non-statistically significant, association was observed for BCSS. Macrophage infiltration in luminal and HER2+ tumors was not associated with OS or BCSS. In a multivariate regression model that adjusted for age, subtype, grade, and tumor size, there was no significant difference in CD163+ macrophage density between Black and White women (RR = 0.88; 95% CI 0.71-1.10). CONCLUSIONS In contrast to previous studies, we observed that higher densities of CD163+ macrophages are independently associated with improved OS and BCSS in women with invasive triple-negative breast cancer. Trial registration Not applicable.
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Affiliation(s)
- Angela R Omilian
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
| | - Rikki Cannioto
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Lucas Mendicino
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Leighton Stein
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Wiam Bshara
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Bo Qin
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Elisa V Bandera
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Nur Zeinomar
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Scott I Abrams
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Chi-Chen Hong
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Thaer Khoury
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
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Cerbelli B, Cirillo A, Pomati G, Pernazza A, Ascione A, Pisegna S, Pisano A, Leopizzi M, Pignataro MG, Costarelli L, Mulè A, Vecchione A, Catalano P, Coppola L, Perrone G, Perracchio L, Anemona L, Mastracchio A, Nardi S, Reitano R, Massari A, Grillo LR, Liberati F, Della Rocca C, Marchetti P, Botticelli A, D'Amati G. PD-L1 testing in metastatic triple negative breast cancer: Results of an Italian survey. TUMORI JOURNAL 2024; 110:44-48. [PMID: 37726962 DOI: 10.1177/03008916231196781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
BACKGROUND Immunotherapy has revolutionized the approach to metastatic triple-negative breast cancers. Atezolizumab was approved for patients with metastatic triple-negative breast cancers whose tumors express PD-L1, determined by SP 142 assay. To assess the availability and practice of SP142 test we administered a survey to all the 15 pathology departments of the Lazio Region during a six-month period. METHODS The survey comprised 12 questions regarding the availability of SP142 in the pathology departments, the percentage of positive tests, the difficulties of pathologists in cases close to cut-off value and the tested samples. RESULTS The SP142 assay was available in only eight centers. In case of positive result, most centers (5/8, 62.5%) reported values of PD-L1 expression ranging from > 1 to ⩽ 5%, with values close to the cut-off point (⩾ 1% or < 1%) being the greatest challenge.Most of the centers (6/8, 75%) tested material from both their own and other hospitals. In most centers, the evaluations were performed either on primary tumors or metastasis, in particular lymph nodes (5/8, 62.5%), followed by lung (3/8, 37.5%) and liver (1/8, 12.5%) metastasis. CONCLUSION Our results raise some important issues concerning the evaluation of PD-L1 in the "real-life" setting, providing strategies for its implementation.
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Affiliation(s)
- Bruna Cerbelli
- Department of Medico-Surgical Sciences and Biotechnology, Polo Pontino, Sapienza University of Roma, Lazio, Italy
| | - Alessio Cirillo
- Department of Experimental Medicine, Sapienza University of Rome, Lazio, Italy
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
| | - Giulia Pomati
- Department of Molecular Medicine, Sapienza University of Rome, Lazio, Italy
| | - Angelina Pernazza
- Department of Medico-Surgical Sciences and Biotechnology, Polo Pontino, Sapienza University of Roma, Lazio, Italy
| | - Andrea Ascione
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
| | - Simona Pisegna
- Department of Experimental Medicine, Sapienza University of Rome, Lazio, Italy
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
| | - Annalinda Pisano
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
| | - Martina Leopizzi
- Department of Medico-Surgical Sciences and Biotechnology, Polo Pontino, Sapienza University of Roma, Lazio, Italy
| | - Maria Gemma Pignataro
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
| | | | - Antonino Mulè
- Breast Unit Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Andrea Vecchione
- Department of Clinical and Molecular Medicine, Pathology Unit, Sant'Andrea Hospital, Sapienza University of Rome, Lazio, Italy
| | - Piera Catalano
- Department of Pathology, San Giovanni Calibita Fatebenefratelli Hospital, Rome, Lazio, Italy
| | - Luigi Coppola
- Unit of Anatomy, Pathological Histology and Diagnostic Cytology, Department of Diagnostic and Pharma-Ceutical Services, Sandro Pertini Hospital, Rome, Italy
| | - Giuseppe Perrone
- Campus Bio-Medico University Hospital Foundation of Rome, Rome, Lazio, Italy
| | - Letizia Perracchio
- Pathology Department, IRCCS Regina Elena National Cancer Institute, Rome, Emilia-Romagna, Italy
| | - Lucia Anemona
- Department of Experimental Medicine, Pathology Unit, Tor Vergata University, Rome, Italy
| | | | - Stefano Nardi
- Department of Pathology, S. Maria Goretti Hospital, Latina, Italy
| | - Renato Reitano
- Department of Pathology, Spaziani Hospital, Frosinone, Italy
| | - Annalisa Massari
- Department of Pathology, Belcolle Hospital, Rome, Viterbo, Italy
| | | | - Fabrizio Liberati
- Department of Anatomic Pathology and Histology, San Camillo De Lellis Hospital, Rieti, Italy
| | - Carlo Della Rocca
- Department of Medico-Surgical Sciences and Biotechnology, Polo Pontino, Sapienza University of Roma, Lazio, Italy
| | | | - Andrea Botticelli
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
| | - Giulia D'Amati
- Department of Radiological, Oncological and Anatomo-pathological Science, Sapienza University of Roma, Lazio, Italy
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Li X, Li J, Hu Q, Zhang X, Chen F. Association of physical weight statuses defined by body mass index (BMI) with molecular subtypes of premenopausal breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat 2024; 203:429-447. [PMID: 37882920 DOI: 10.1007/s10549-023-07139-z] [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: 07/07/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND AND PURPOSE The association between overweight/obesity and postmenopausal breast cancer has been proven. However, uncertainty exists regarding the association between physical weight statuses and premenopausal breast cancer subtypes. This study aimed to explore the association of body weight statuses with molecular subtypes of premenopausal breast cancer. METHOD A systematic search of Medline, PubMed, Embase, and Web of Science was performed. The Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute (JBI) Critical Appraisal tools were used to evaluate the quality of the literature. STATA and R software were used to analyze the extracted data. RESULT The meta-analysis included 35 observational studies with a total of 41,049 premenopausal breast cancer patients. The study showed that the proportion of underweight patients was 4.8% (95% CI = 3.9-5.8%, P = 0.01), overweight was 29% (95%CI = 27.1-30.9%, P < 0.01), obesity was 17.8% (95% CI = 14.9-21.2%, P < 0.0001), and normal weight was 51.6% (95% CI = 46.7-56.5%, P < 0.0001). The pooled results showed that in comparison to the normal weight group, being physically underweight is related to a 1.44-fold risk (OR = 1.44, 95%CI = 1.28-1.63, P < 0.0001) of HER2 + breast cancer. Overweight is related to a 1.16-fold risk (OR = 1.16, 95%CI = 1.06-1.26, P = 0.002) of TNBC and a 16% lower risk (OR = 0.84, 95%CI = 0.75-0.93, P = 0.001) of ER + breast cancer. When compared to underweight/normal weight populations, both overweight (OR = 0.74, 95%CI = 0.56-0.97, P = 0.032) and obesity (OR = 0.70, 95%CI = 0.50-0.98, P = 0.037) can reduce the risk of ER + PR + breast cancer. CONCLUSION In the premenopausal breast cancer population, the distribution of patients' numbers with different weight statuses was significantly distinct among the various breast cancer subtypes. Additionally, the associations between physical weight statuses and the risk of premenopausal breast cancer subtypes are divergent.
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Affiliation(s)
- Xuchu Li
- Department of Medical, Queen Mary School, Nanchang University, 461 Bayi Avenue, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Jinping Li
- Department of General Medical, People's Hospital of Fu City, Yan'an, 727505, Shaanxi Province, China
| | - Qirui Hu
- College of Food Science, Nanchang University, Nanchang, 330047, Jiangxi Province, China
| | - Xu Zhang
- Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Fang Chen
- College of Food Science, Nanchang University, Nanchang, 330047, Jiangxi Province, China.
- Jiangxi Provincial Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, 330006, Jiangxi Province, China.
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7
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Gearhart-Serna LM, Mills BA, Hsu H, Fayanju OM, Hoffman K, Devi GR. Cumulative environmental quality is associated with breast cancer incidence differentially by summary stage and urbanicity. Sci Rep 2023; 13:20301. [PMID: 37985794 PMCID: PMC10662118 DOI: 10.1038/s41598-023-45693-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/23/2023] [Indexed: 11/22/2023] Open
Abstract
Individual environmental contaminants have been associated with breast cancer; however, evaluations of multiple exposures simultaneously are limited. Herein, we evaluated associations between breast cancer summary stages and the Environmental Quality Index (EQI), which includes a range of environmental factors across five domains. The EQI (2000-2005) was linked to county-level age-standardized incidence rates (SIRs) obtained from the North Carolina Central Cancer Registry (2010-2014). Incidence rates and SIRs of total, in situ, localized, regional, and distant breast cancers were evaluated stratified by rural-urban status. In counties with poor environmental quality compared to those with good environmental quality, total breast cancer incidence was higher by 10.82 cases per 100,000 persons (95% CI 2.04, 19.60, p = 0.02). This association was most pronounced for localized breast cancer (β = 5.59, 95% CI 0.59, 10.58, p = 0.03). Higher incidence of early-stage disease (carcinoma in situ β = 5.25, 95% CI 2.34, 8.16, p = 0.00 and localized breast cancer β = 6.98, 95% CI 2.24, 11.73, p = 0.00) and total breast cancer (β = 11.44, 95% CI 3.01, 19.87, p = 0.01) occurred in counties with poor land quality, especially urban counties. Our analyses indicate significant associations between environmental quality and breast cancer incidence, which differ by breast cancer stage and urbanicity, identifying a critical need to assess cumulative environmental exposures in the context of cancer stage.
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Affiliation(s)
- Larisa M Gearhart-Serna
- Department of Surgery, Duke University School of Medicine, DUMC Box 2606 Med Ctr, Durham, NC, 27710, USA
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA
- Nicholas School of the Environment, Duke University, Durham, NC, USA
- Duke Consortium for Inflammatory Breast Cancer, Duke Cancer Institute, Durham, NC, USA
| | - Brittany A Mills
- Department of Surgery, Duke University School of Medicine, DUMC Box 2606 Med Ctr, Durham, NC, 27710, USA
| | - Hillary Hsu
- Department of Surgery, Duke University School of Medicine, DUMC Box 2606 Med Ctr, Durham, NC, 27710, USA
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA
- Duke Consortium for Inflammatory Breast Cancer, Duke Cancer Institute, Durham, NC, USA
- Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Oluwadamilola M Fayanju
- Duke Consortium for Inflammatory Breast Cancer, Duke Cancer Institute, Durham, NC, USA
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kate Hoffman
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Gayathri R Devi
- Department of Surgery, Duke University School of Medicine, DUMC Box 2606 Med Ctr, Durham, NC, 27710, USA.
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA.
- Duke Consortium for Inflammatory Breast Cancer, Duke Cancer Institute, Durham, NC, USA.
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Reeder-Hayes K, Roberson ML, Wheeler SB, Abdou Y, Troester MA. From Race to Racism and Disparities to Equity: An Actionable Biopsychosocial Approach to Breast Cancer Outcomes. Cancer J 2023; 29:316-322. [PMID: 37963365 PMCID: PMC10651167 DOI: 10.1097/ppo.0000000000000677] [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] [Indexed: 11/16/2023]
Abstract
PURPOSE Racial disparities in outcomes of breast cancer in the United States have widened over more than 3 decades, driven by complex biologic and social factors. In this review, we summarize the biological and social narratives that have shaped breast cancer disparities research across different scientific disciplines in the past, explore the underappreciated but crucial ways in which these 2 strands of the breast cancer story are interwoven, and present 5 key strategies for creating transformative interdisciplinary research to achieve equity in breast cancer treatment and outcomes. DESIGN We first review the key differences in tumor biology in the United States between patients racialized as Black versus White, including the overrepresentation of triple-negative breast cancer and differences in tumor histologic and molecular features by race for hormone-sensitive disease. We then summarize key social factors at the interpersonal, institutional, and social structural levels that drive inequitable treatment. Next, we explore how biologic and social determinants are interwoven and interactive, including historical and contemporary structural factors that shape the overrepresentation of triple-negative breast cancer among Black Americans, racial differences in tumor microenvironment, and the complex interplay of biologic and social drivers of difference in outcomes of hormone receptor positive disease, including utilization and effectiveness of endocrine therapies and the role of obesity. Finally, we present 5 principles to increase the impact and productivity of breast cancer equity research. RESULTS We find that social and biologic drivers of breast cancer disparities are often cyclical and are found at all levels of scientific investigation from cells to society. To break the cycle and effect change, we must acknowledge and measure the role of structural racism in breast cancer outcomes; frame biologic, psychosocial, and access factors as interwoven via mechanisms of cumulative stress, inflammation, and immune modulation; take responsibility for the impact of representativeness (or the lack thereof) in genomic and decision modeling on the ability to accurately predict the outcomes of Black patients; create research that incorporates the perspectives of people of color from inception to implementation; and rigorously evaluate innovations in equitable cancer care delivery and health policies. CONCLUSIONS Innovative, cross-disciplinary research across the biologic and social sciences is crucial to understanding and eliminating disparities in breast cancer outcomes.
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Affiliation(s)
| | | | | | - Yara Abdou
- From the Division of Oncology, School of Medicine
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9
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Zeng J, Singh S, Zhou X, Jiang Y, Casarez E, Atkins KA, Janes KA, Zong H. A genetic mosaic mouse model illuminates the pre-malignant progression of basal-like breast cancer. Dis Model Mech 2023; 16:dmm050219. [PMID: 37815460 PMCID: PMC10668031 DOI: 10.1242/dmm.050219] [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: 04/26/2023] [Accepted: 09/11/2023] [Indexed: 10/11/2023] Open
Abstract
Basal-like breast cancer (BLBC) is highly aggressive, and often characterized by BRCA1 and p53 deficiency. Although conventional mouse models enabled the investigation of BLBC at malignant stages, its initiation and pre-malignant progression remain understudied. Here, we leveraged a mouse genetic system known as mosaic analysis with double markers (MADM) to study BLBC initiation by generating rare GFP+Brca1, p53-deficient mammary cells alongside RFP+ wild-type sibling cells. After confirming the close resemblance of mammary tumors arising in this model to human BLBC at both transcriptomic and genomic levels, we focused our studies on the pre-malignant progression of BLBC. Initiated GFP+ mutant cells showed a stepwise pre-malignant progression trajectory from focal expansion to hyper-alveolarization and then to micro-invasion. Furthermore, despite morphological similarities to alveoli, hyper-alveolarized structures actually originate from ductal cells based on twin-spot analysis of GFP-RFP sibling cells. Finally, luminal-to-basal transition occurred exclusively in cells that have progressed to micro-invasive lesions. Our MADM model provides excellent spatiotemporal resolution to illuminate the pre-malignant progression of BLBC, and should enable future studies on early detection and prevention for this cancer.
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Affiliation(s)
- Jianhao Zeng
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Shambhavi Singh
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
| | - Xian Zhou
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Ying Jiang
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Eli Casarez
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Kristen A. Atkins
- Department of Pathology, University of Virginia Health System, Charlottesville, VA 22908, USA
- University of Virginia Comprehensive Cancer Center, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Kevin A. Janes
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
- University of Virginia Comprehensive Cancer Center, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Hui Zong
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
- University of Virginia Comprehensive Cancer Center, University of Virginia Health System, Charlottesville, VA 22908, USA
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10
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Sankofi BM, Valencia-Rincón E, Sekhri M, Ponton-Almodovar AL, Bernard JJ, Wellberg EA. The impact of poor metabolic health on aggressive breast cancer: adipose tissue and tumor metabolism. Front Endocrinol (Lausanne) 2023; 14:1217875. [PMID: 37800138 PMCID: PMC10548218 DOI: 10.3389/fendo.2023.1217875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 08/30/2023] [Indexed: 10/07/2023] Open
Abstract
Obesity and type 2 diabetes are chronic metabolic diseases that impact tens to hundreds of millions of adults, especially in developed countries. Each condition is associated with an elevated risk of breast cancer and with a poor prognosis after treatment. The mechanisms connecting poor metabolic health to breast cancer are numerous and include hyperinsulinemia, inflammation, excess nutrient availability, and adipose tissue dysfunction. Here, we focus on adipose tissue, highlighting important roles for both adipocytes and fibroblasts in breast cancer progression. One potentially important mediator of adipose tissue effects on breast cancer is the fibroblast growth factor receptor (FGFR) signaling network. Among the many roles of FGFR signaling, we postulate that key mechanisms driving aggressive breast cancer include epithelial-to-mesenchymal transition and cellular metabolic reprogramming. We also pose existing questions that may help better understand breast cancer biology in people with obesity, type 2 diabetes, and poor metabolic health.
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Affiliation(s)
- Barbara Mensah Sankofi
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Estefania Valencia-Rincón
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Malika Sekhri
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Adriana L. Ponton-Almodovar
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI, United States
- Nicolas V. Perricone Division of Dermatology, Michigan State University, East Lansing, MI, United States
- Department of Medicine, Michigan State University, East Lansing, MI, United States
| | - Jamie J. Bernard
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI, United States
- Nicolas V. Perricone Division of Dermatology, Michigan State University, East Lansing, MI, United States
- Department of Medicine, Michigan State University, East Lansing, MI, United States
| | - Elizabeth A. Wellberg
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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11
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Lyu H, Shen F, Ruan S, Tan C, Zhou J, Thor AD, Liu B. HER3 functions as an effective therapeutic target in triple negative breast cancer to potentiate the antitumor activity of gefitinib and paclitaxel. Cancer Cell Int 2023; 23:204. [PMID: 37716943 PMCID: PMC10504712 DOI: 10.1186/s12935-023-03055-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: 02/16/2023] [Accepted: 09/03/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND Triple negative breast cancer (TNBC) represents a significant clinical challenge. Chemotherapy remains the mainstay for a large part of TNBC patients, whereas drug resistance and tumor recurrence frequently occur. It is in urgent need to identify novel molecular targets for TNBC and develop effective therapy against the aggressive disease. METHODS Immunohistochemistry was performed to examine the expression of HER3 in TNBC samples. Western blots were used to assess protein expression and activation. Cell proliferation and viability were determined by cell growth (MTS) assays. TCGA databases were analyzed to correlate HER3 mRNA expression with the clinical outcomes of TNBC patients. Specific shRNA was used to knockdown HER3 expression. IncuCyte system was utilized to monitor cell growth and migration. LIVE/DEAD Cell Imaging was to detect live and dead cells. HER3 recognition by our anti-HER3 monoclonal antibody (mAb) 4A7 was verified by ELISA, flow cytometry, and co-immunoprecipitation assays. Orthotopic tumor models were established in nude mice to determine the capability of TNBC cells forming tumors and to test if our mAb 4A7 could potentiate the antitumor activity of paclitaxel in vivo. RESULTS Elevated expression of HER3 was observed in approximately half of the TNBC specimens and cell lines tested. Analyses of TCGA databases found that the TNBC patients with high HER3 mRNA expression in the tumors showed significantly worse overall survival (OS) and relapse-free survival (RFS) than those with low HER3 expression. Specific knockdown of HER3 markedly inhibited TNBC cell proliferation and mammosphere formation in vitro and tumor growth in vivo. Our mAb 4A7 abrogated heregulin (a ligand for HER3), but not SDF-1 (a ligand for CXCR4)-induced enhancement of TNBC cell migration. Combinations of 4A7 and the EGFR-tyrosine kinase inhibitor (TKI) gefitinib dramatically decreased the levels of phosphorylated HER3, EGFR, Akt, and ERK1/2 in TNBC cells and potently induced growth inhibition and cell death. Moreover, 4A7 in combination with paclitaxel exerted significant antitumor activity against TNBC in vitro and in vivo. CONCLUSIONS Our data demonstrate that increased HER3 is an effective therapeutic target for TNBC and our anti-HER3 mAb (4A7) may enhance the efficacy of gefitinib or paclitaxel in TNBC.
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Affiliation(s)
- Hui Lyu
- Departments of Interdisciplinary Oncology and Genetics, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University (LSU) Health Sciences Center, 1700 Tulane Ave, New Orleans, LA, 70112, USA
| | - Fei Shen
- Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Sanbao Ruan
- Departments of Interdisciplinary Oncology and Genetics, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University (LSU) Health Sciences Center, 1700 Tulane Ave, New Orleans, LA, 70112, USA
| | - Congcong Tan
- Departments of Interdisciplinary Oncology and Genetics, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University (LSU) Health Sciences Center, 1700 Tulane Ave, New Orleans, LA, 70112, USA
| | - Jundong Zhou
- Suzhou Cancer Center Core Laboratory, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou, Jiangsu, China
| | - Ann D Thor
- Department of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bolin Liu
- Departments of Interdisciplinary Oncology and Genetics, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University (LSU) Health Sciences Center, 1700 Tulane Ave, New Orleans, LA, 70112, USA.
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Terry MB, Colditz GA. Epidemiology and Risk Factors for Breast Cancer: 21st Century Advances, Gaps to Address through Interdisciplinary Science. Cold Spring Harb Perspect Med 2023; 13:a041317. [PMID: 36781224 PMCID: PMC10513162 DOI: 10.1101/cshperspect.a041317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Research methods to study risk factors and prevention of breast cancer have evolved rapidly. We focus on advances from epidemiologic studies reported over the past two decades addressing scientific discoveries, as well as their clinical and public health translation for breast cancer risk reduction. In addition to reviewing methodology advances such as widespread assessment of mammographic density and Mendelian randomization, we summarize the recent evidence with a focus on the timing of exposure and windows of susceptibility. We summarize the implications of the new evidence for application in risk stratification models and clinical translation to focus prevention-maximizing benefits and minimizing harm. We conclude our review identifying research gaps. These include: pathways for the inverse association of vegetable intake and estrogen receptor (ER)-ve tumors, prepubertal and adolescent diet and risk, early life adiposity reducing lifelong risk, and gaps from changes in habits (e.g., vaping, binge drinking), and environmental exposures.
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Affiliation(s)
- Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, Chronic Disease Unit Leader, Department of Epidemiology, Herbert Irving Comprehensive Cancer Center, Associate Director, New York, New York 10032, USA
| | - Graham A Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J. Siteman Cancer Center at Washington University School of Medicine and Barnes-Jewish Hospital in St Louis, St. Louis, Missouri 63110, USA
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13
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Conner SJ, Guarin JR, Borges HB, Salhany KJ, Mensah DN, Hamilton GA, Le GH, Oudin MJ. Age and obesity-driven changes in the extracellular matrix of the primary tumor and metastatic site influence tumor invasion and metastatic outgrowth. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.24.554492. [PMID: 37662270 PMCID: PMC10473680 DOI: 10.1101/2023.08.24.554492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Younger age and obesity increase the incidence and metastasis of triple-negative breast cancer (TNBC), an aggressive subtype of breast cancer. The extracellular matrix (ECM) promotes tumor invasion and metastasis. We characterized the effect of age and obesity on the ECM of mammary fat pads, lungs, and liver using a diet-induced obesity (DIO) model. At 4 week intervals, we either injected the mammary fat pads with allograft tumor cells to characterize tumor growth and metastasis or isolated the mammary fat pads and livers to characterize the ECM. Age had no effect on tumor growth but increased lung and liver metastasis after 16 weeks. Obesity increased tumor growth starting at 12 weeks, increased liver metastasis only at 4 weeks, and weight gain correlated to increased lung but not liver metastasis. Utilizing whole decellularized ECM coupled with proteomics, we found that early stages of obesity were sufficient to induce changes in the ECM composition and invasive potential of mammary fat pads with increased abundance of pro-invasive ECM proteins Collagen IV and Collagen VI. We identified cells of stromal vascular fraction and adipose stem and progenitor cells as primarily responsible for secreting Collagen IV and VI, not adipocytes. We characterized the changes in ECM in the lungs and liver, and determined that older age decreases the metastatic potential of lung and liver ECM while later-stage obesity increases the metastatic potential. These data implicate ECM changes in the primary tumor and metastatic microenvironment as mechanisms by which age and obesity contribute to breast cancer progression.
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Affiliation(s)
- Sydney J. Conner
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Justinne R. Guarin
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Hannah B. Borges
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Kenneth J. Salhany
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Diamond N. Mensah
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Grace A. Hamilton
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Giang H. Le
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
| | - Madeleine J. Oudin
- Department of Biomedical Engineering, Tufts University, Medford, MA 02478
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14
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Abubakar M, Klein A, Fan S, Lawrence S, Mutreja K, Henry JE, Pfeiffer RM, Duggan MA, Gierach GL. Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast. Breast Cancer Res 2023; 25:97. [PMID: 37582731 PMCID: PMC10426057 DOI: 10.1186/s13058-023-01692-7] [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: 05/01/2023] [Accepted: 07/29/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND Emerging data indicate that variations in quantitative epithelial and stromal tissue composition and their relative abundance in benign breast biopsies independently impact risk of future invasive breast cancer. To gain further insights into breast cancer etiopathogenesis, we investigated associations between epidemiological factors and quantitative tissue composition metrics of the normal breast. METHODS The study participants were 4108 healthy women ages 18-75 years who voluntarily donated breast tissue to the US-based Susan G. Komen Tissue Bank (KTB; 2008-2019). Using high-accuracy machine learning algorithms, we quantified the percentage of epithelial, stromal, adipose, and fibroglandular tissue, as well as the proportion of fibroglandular tissue that is epithelium relative to stroma (i.e., epithelium-to-stroma proportion, ESP) on digitized hematoxylin and eosin (H&E)-stained normal breast biopsy specimens. Data on epidemiological factors were obtained from participants using a detailed questionnaire administered at the time of tissue donation. Associations between epidemiological factors and square root transformed tissue metrics were investigated using multivariable linear regression models. RESULTS With increasing age, the amount of stromal, epithelial, and fibroglandular tissue declined and adipose tissue increased, while that of ESP demonstrated a bimodal pattern. Several epidemiological factors were associated with individual tissue composition metrics, impacting ESP as a result. Compared with premenopausal women, postmenopausal women had lower ESP [β (95% Confidence Interval (CI)) = -0.28 (- 0.43, - 0.13); P < 0.001] with ESP peaks at 30-40 years and 60-70 years among pre- and postmenopausal women, respectively. Pregnancy [β (95%CI) vs nulligravid = 0.19 (0.08, 0.30); P < 0.001] and increasing number of live births (P-trend < 0.001) were positively associated with ESP, while breastfeeding was inversely associated with ESP [β (95%CI) vs no breastfeeding = -0.15 (- 0.29, - 0.01); P = 0.036]. A positive family history of breast cancer (FHBC) [β (95%CI) vs no FHBC = 0.14 (0.02-0.26); P = 0.02], being overweight or obese [β (95%CI) vs normal weight = 0.18 (0.06-0.30); P = 0.004 and 0.32 (0.21-0.44); P < 0.001, respectively], and Black race [β (95%CI) vs White = 0.12 (- 0.005, 0.25); P = 0.06] were positively associated with ESP. CONCLUSION Our findings revealed that cumulative exposure to etiological factors over the lifespan impacts normal breast tissue composition metrics, individually or jointly, to alter their dynamic equilibrium, with potential implications for breast cancer susceptibility and tumor etiologic heterogeneity.
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Affiliation(s)
- Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA.
| | - Alyssa Klein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Scott Lawrence
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, 21702, USA
| | - Karun Mutreja
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, 21702, USA
| | - Jill E Henry
- Biospecimen Collection and Banking Core, Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
| | - Maire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N2Y9, Canada
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Shady Grove, Bethesda, MD, 20850, USA
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15
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Abraham M, Lak MA, Gurz D, Nolasco FOM, Kondraju PK, Iqbal J. A Narrative Review of Breastfeeding and Its Correlation With Breast Cancer: Current Understanding and Outcomes. Cureus 2023; 15:e44081. [PMID: 37750138 PMCID: PMC10518059 DOI: 10.7759/cureus.44081] [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: 07/05/2023] [Accepted: 08/24/2023] [Indexed: 09/27/2023] Open
Abstract
Breastfeeding has been extensively studied in relation to breast cancer risk. The results of the reviewed studies consistently show a decreased risk of breast cancer associated with breastfeeding, especially for 12 months or longer. This protective effect is attributed to hormonal, immunological, and physiological changes during lactation. Breastfeeding also appears to have a greater impact on reducing breast cancer risk in premenopausal women and specific breast cancer subtypes. Encouraging breastfeeding has dual benefits: benefiting infants and reducing breast cancer risk long-term. Healthcare professionals should provide evidence-based guidance on breastfeeding initiation, duration, and exclusivity, while public health policies should support breastfeeding by creating enabling environments. This review examines the existing literature and analyzes the correlation between breastfeeding and breast cancer risk.
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Affiliation(s)
- Merin Abraham
- Department of Internal Medicine, Kasturba Medical College, Manipal, IND
| | - Muhammad Ali Lak
- Department of Internal Medicine, Combined Military Hospital, Lahore, PAK
| | - Danyel Gurz
- Department of Internal Medicine, Combined Military Hospital, Lahore, PAK
| | | | | | - Javed Iqbal
- Department of Neurosurgery, Mayo Hospital, Lahore, PAK
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16
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Mao X, Omeogu C, Karanth S, Joshi A, Meernik C, Wilson L, Clark A, Deveaux A, He C, Johnson T, Barton K, Kaplan S, Akinyemiju T. Association of reproductive risk factors and breast cancer molecular subtypes: a systematic review and meta-analysis. BMC Cancer 2023; 23:644. [PMID: 37430191 DOI: 10.1186/s12885-023-11049-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 06/08/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND Associations between reproductive factors and breast cancer (BC) risk vary by molecular subtype (i.e., luminal A, luminal B, HER2, and triple negative/basal-like [TNBC]). In this systematic review and meta-analysis, we summarized the associations between reproductive factors and BC subtypes. METHODS Studies from 2000 to 2021 were included if BC subtype was examined in relation to one of 11 reproductive risk factors: age at menarche, age at menopause, age at first birth, menopausal status, parity, breastfeeding, oral contraceptive (OC) use, hormone replacement therapy (HRT), pregnancy, years since last birth and abortion. For each reproductive risk factor, BC subtype, and study design (case-control/cohort or case-case), random-effects models were used to estimate pooled relative risks and 95% confidence intervals. RESULTS A total of 75 studies met the inclusion criteria for systematic review. Among the case-control/cohort studies, later age at menarche and breastfeeding were consistently associated with decreased risk of BC across all subtypes, while later age at menopause, later age of first childbirth, and nulliparity/low parity were associated with increased risk of luminal A, luminal B, and HER2 subtypes. In the case-only analysis, compared to luminal A, postmenopausal status increased the risk of HER2 and TNBC. Associations were less consistent across subtypes for OC and HRT use. CONCLUSION Identifying common risk factors across BC subtypes can enhance the tailoring of prevention strategies, and risk stratification models can benefit from subtype specificity. Adding breastfeeding status to current BC risk prediction models can enhance predictive ability, given the consistency of the associations across subtypes.
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Affiliation(s)
- Xihua Mao
- Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Chioma Omeogu
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Shama Karanth
- UF Health Cancer Canter, University of Florida, Gainesville, FL, USA
| | - Ashwini Joshi
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Clare Meernik
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Lauren Wilson
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Amy Clark
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - April Deveaux
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Chunyan He
- The Cancer Prevention and Control Research Program, University of Kentucky Markey Cancer Center, Lexington, KY, USA
| | - Tisha Johnson
- Department of Preventive Medicine and Environmental Health, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Karen Barton
- Duke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, USA
| | - Samantha Kaplan
- Duke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, USA
| | - Tomi Akinyemiju
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
- Duke Cancer Institute, Duke University, Durham, NC, USA.
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17
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Narod SA, Dent R. Triple-negative breast cancers. Expert Rev Anticancer Ther 2023; 23:1041-1043. [PMID: 37707344 DOI: 10.1080/14737140.2023.2257393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/06/2023] [Indexed: 09/15/2023]
Affiliation(s)
- Steven A Narod
- Women's College Research Institute, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Rebecca Dent
- Department of Medical Oncology, National Cancer Center, Singapore
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18
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Coria-Rodríguez H, Ochoa S, de Anda-Jáuregui G, Hernández-Lemus E. Drug repurposing for Basal breast cancer subpopulations using modular network signatures. Comput Biol Chem 2023; 105:107902. [PMID: 37348299 DOI: 10.1016/j.compbiolchem.2023.107902] [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: 07/20/2022] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/24/2023]
Abstract
Breast cancer is characterized as being a heterogeneous pathology with a broad phenotype variability. Breast cancer subtypes have been developed in order to capture some of this heterogeneity. Each of these breast cancer subtypes, in turns retains varied characteristic features impacting diagnostic, prognostic and therapeutics. Basal breast tumors, in particular have been challenging in these regards. Basal breast cancer is often more aggressive, of rapid evolution and no tailor-made targeted therapies are available yet to treat it. Arguably, epigenetic variability is behind some of these intricacies. It is possible to further classify basal breast tumor in groups based on their non-coding transcriptome and methylome profiles. It is expected that these groups will have differences in survival as well as in sensitivity to certain classes of drugs. With this in mind, we implemented a computational learning approach to infer different subpopulations of basal breast cancer (from TCGA multi-omic data) based on their epigenetic signatures. Such epigenomic signatures were associated with different survival profiles; we then identified their associated gene co-expression network structure, extracted a signature based on modules within these networks, and use these signatures to find and prioritize drugs (in the LINCS dataset) that may be used to target these types of cancer. In this way we are introducing the analytical workflow for an epigenomic signature-based drug repurposing structure.
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Affiliation(s)
- Hiram Coria-Rodríguez
- Computational Genomics Division, National Institute of Genomic Medicine, Periferico Sur 4809, Mexico City, 14610, Mexico
| | - Soledad Ochoa
- Computational Genomics Division, National Institute of Genomic Medicine, Periferico Sur 4809, Mexico City, 14610, Mexico
| | - Guillermo de Anda-Jáuregui
- Computational Genomics Division, National Institute of Genomic Medicine, Periferico Sur 4809, Mexico City, 14610, Mexico; Center for Complexity Sciences, Universidad Nacional Autonoma de Mexico, Circuito Exterior, Mexico City, 04510, Mexico; Catedras Conacyt, National Council on Science and Technology, Insurgentes Sur, Mexico City, 03940, Mexico.
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Periferico Sur 4809, Mexico City, 14610, Mexico; Center for Complexity Sciences, Universidad Nacional Autonoma de Mexico, Circuito Exterior, Mexico City, 04510, Mexico.
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19
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Aalhate M, Mahajan S, Singh H, Guru SK, Singh PK. Nanomedicine in therapeutic warfront against estrogen receptor-positive breast cancer. Drug Deliv Transl Res 2023; 13:1621-1653. [PMID: 36795198 DOI: 10.1007/s13346-023-01299-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/06/2023] [Indexed: 02/17/2023]
Abstract
Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide. Almost 70-80% of cases of BC are curable at the early non-metastatic stage. BC is a heterogeneous disease with different molecular subtypes. Around 70% of breast tumors exhibit estrogen-receptor (ER) expression and endocrine therapy is used for the treatment of these patients. However, there are high chances of recurrence in the endocrine therapy regimen. Though chemotherapy and radiation therapy have substantially improved survival rates and treatment outcomes in BC patients, there is an increased possibility of the development of resistance and dose-limiting toxicities. Conventional treatment approaches often suffer from low bioavailability, adverse effects due to the non-specific action of chemotherapeutics, and low antitumor efficacy. Nanomedicine has emerged as a conspicuous strategy for delivering anticancer therapeutics in BC management. It has revolutionized the area of cancer therapy by increasing the bioavailability of the therapeutics and improving their anticancer efficacy with reduced toxicities on healthy tissues. In this article, we have highlighted various mechanisms and pathways involved in the progression of ER-positive BC. Further, different nanocarriers delivering drugs, genes, and natural therapeutic agents for surmounting BC are the spotlights of this article.
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Affiliation(s)
- Mayur Aalhate
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India
| | - Srushti Mahajan
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India
| | - Hoshiyar Singh
- Department of Biological Science, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, 500037, India
| | - Santosh Kumar Guru
- Department of Biological Science, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, 500037, India
| | - Pankaj Kumar Singh
- Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, 500037, India.
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20
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Boucheron P, Anele A, Offiah AU, Zietsman A, Galukande M, Parham G, Pinder LF, Anderson BO, Foerster M, Schüz J, dos-Santos-Silva I, McCormack V. Reproductive history and breast cancer survival: Findings from the African breast cancer-Disparities in outcomes cohort and implications of Africa's fertility transition on breast cancer prognosis. Int J Cancer 2023; 152:1804-1816. [PMID: 36545890 PMCID: PMC10070810 DOI: 10.1002/ijc.34411] [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: 08/19/2022] [Revised: 12/01/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022]
Abstract
Reproductive characteristics are known risk factors for breast cancer but, other than recent birth, their role as prognostic factors is less clear, and has not been studied in Sub-Saharan Africa (SSA). In this setting, we examined whether reproductive factors independently influence breast cancer survival in a subset of the African Breast Cancer-Disparities in Outcomes cohort study. In 1485 women with incident breast cancer recruited between 2014 and 2017, we examined birth cohort changes in reproductive factors, and used Cox models to examine whether reproductive characteristics were associated with all-cause mortality after adjusting for confounders (age, stage, treatment, HIV, and social factors). Four years after diagnosis, 822 (56%) women had died. Median parity was 4 (IQR = 2, 6) and 209 (28%) of premenopausal women had had a recent birth (<3 years prior to cancer diagnosis). Each pregnancy was associated with a 5% increase (95% CI: 2%, 8%) in mortality rates, which held among postmenopausal women (5%, [1%-9%]). Pre-menopausal women with a recent birth had 52% (20%, 92%) higher mortality rates. Fertility trends by birth cohort showed declining parity, increasing age at first birth and declining age at last birth, however the impact of these population-level changes on future average survival was predicted to be very small (<3% absolute gain).
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Affiliation(s)
- Pauline Boucheron
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | | | - Awa U. Offiah
- Abia State University Teaching Hospital, Aba, Nigeria
| | - Annelle Zietsman
- AB May Cancer Centre, Windhoek Central Hospital, Windhoek, Namibia
| | - Moses Galukande
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Groesbeck Parham
- Department of Obstetrics and Gynaecology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | | | - Benjamin O. Anderson
- University of Washington, Seattle, Washington
- World Health Organization, Geneva, Switzerland
| | - Milena Foerster
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Joachim Schüz
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
| | - Isabel dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM)
| | - Valerie McCormack
- International Agency for Research on Cancer (IARC/WHO), Environment and Lifestyle Epidemiology Branch, Lyon, France
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21
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Zeng J, Singh S, Jiang Y, Casarez E, Atkins KA, Janes KA, Zong H. A genetic mosaic mouse model illuminates the pre-malignant progression of basal-like breast cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.25.538333. [PMID: 37163037 PMCID: PMC10168298 DOI: 10.1101/2023.04.25.538333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Basal-like breast cancer is an aggressive breast cancer subtype, often characterized by a deficiency in BRCA1 function and concomitant loss of p53 . While conventional mouse models enable the investigation of its malignant stages, one that reveals its initiation and pre-malignant progression is lacking. Here, we leveraged a mouse genetic system known as M osaic A nalysis with D ouble M arkers (MADM) to generate rare GFP-labeled Brca1 , p53 -deficient cells alongside RFP+ wildtype sibling cells in the mammary gland. The mosaicism resembles the sporadic initiation of human cancer and enables spatially resolved analysis of mutant cells in comparison to paired wildtype sibling cells. Mammary tumors arising in the model show transcriptomic and genomic characteristics similar to human basal-like breast cancer. Analysis of GFP+ mutant cells at interval time points before malignancy revealed a stepwise progression of lesions from focal expansion to hyper-alveolarization and then to micro-invasion. These stereotyped morphologies indicate the pre-malignant stage irrespective of the time point at which it is observed. Paired analysis of GFP-RFP siblings during focal expansion suggested that hyper-alveolarized structures originate from ductal rather than alveolar cells, despite their morphological similarities to alveoli. Evidence for luminal-to-basal transition at the pre-malignant stages was restricted to cells that had escaped hyper-alveoli and progressed to micro-invasive lesions. Our MADM-based mouse model presents a useful tool for studying the pre-malignancy of basal-like breast cancer. Summary statement A mouse model recapitulates the process of human basal-like breast tumorigenesis initiated from sporadic Brca1, p53 -deficient cells, empowering spatially-resolved analysis of mutant cells during pre-malignant progression.
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22
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Zavala VA, Casavilca-Zambrano S, Navarro-Vásquez J, Tamayo LI, Castañeda CA, Valencia G, Morante Z, Calderón M, Abugattas JE, Gómez HL, Fuentes HA, Liendo-Picoaga R, Cotrina JM, Neciosup SP, Roque K, Vásquez J, Mas L, Gálvez-Nino M, Fejerman L, Vidaurre T. Breast cancer subtype and clinical characteristics in women from Peru. Front Oncol 2023; 13:938042. [PMID: 36925912 PMCID: PMC10013058 DOI: 10.3389/fonc.2023.938042] [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: 05/06/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023] Open
Abstract
Introduction Breast cancer is a heterogeneous disease, and the distribution of the different subtypes varies by race/ethnic category in the United States and by country. Established breast cancer-associated factors impact subtype-specific risk; however, these included limited or no representation of Latin American diversity. To address this gap in knowledge, we report a description of demographic, reproductive, and lifestyle breast cancer-associated factors by age at diagnosis and disease subtype for The Peruvian Genetics and Genomics of Breast Cancer (PEGEN-BC) study. Methods The PEGEN-BC study is a hospital-based breast cancer cohort that includes 1943 patients diagnosed at the Instituto Nacional de Enfermedades Neoplásicas in Lima, Peru. Demographic and reproductive information, as well as lifestyle exposures, were collected with a questionnaire. Clinical data, including tumor Hormone Receptor (HR) status and Human Epidermal Growth Factor Receptor 2 (HER2) status, were abstracted from electronic medical records. Differences in proportions and mean values were tested using Chi-squared and one-way ANOVA tests, respectively. Multinomial logistic regression models were used for multivariate association analyses. Results The distribution of subtypes was 52% HR+HER2-, 19% HR+HER2+, 16% HR-HER2-, and 13% HR-HER2+. Indigenous American (IA) genetic ancestry was higher, and height was lower among individuals with the HR-HER2+ subtype (80% IA vs. 76% overall, p=0.007; 152 cm vs. 153 cm overall, p=0.032, respectively). In multivariate models, IA ancestry was associated with HR-HER2+ subtype (OR=1.38,95%CI=1.06-1.79, p=0.017) and parous women showed increased risk for HR-HER2+ (OR=2.7,95%CI=1.5-4.8, p<0.001) and HR-HER2- tumors (OR=2.4,95%CI=1.5-4.0, p<0.001) compared to nulliparous women. Multiple patient and tumor characteristics differed by age at diagnosis (<50 vs. >=50), including ancestry, region of residence, family history, height, BMI, breastfeeding, parity, and stage at diagnosis (p<0.02 for all variables). Discussion The characteristics of the PEGEN-BC study participants do not suggest heterogeneity by tumor subtype except for IA genetic ancestry proportion, which has been previously reported. Differences by age at diagnosis were apparent and concordant with what is known about pre- and post-menopausal-specific disease risk factors. Additional studies in Peru should be developed to further understand the main contributors to the specific age of onset and molecular disease subtypes in this population and develop population-appropriate predictive models for prevention.
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Affiliation(s)
- Valentina A. Zavala
- Department of Public Health Sciences, University of California, Davis, Davis, CA, United States
| | | | | | - Lizeth I. Tamayo
- Department of Public Health Sciences, The University of Chicago, Chicago, IL, United States
| | - Carlos A. Castañeda
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Guillermo Valencia
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Zaida Morante
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Mónica Calderón
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Julio E. Abugattas
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Cirugía de Mamas y tumores Blandos, Lima, Peru
| | - Henry L. Gómez
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Hugo A. Fuentes
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | | | - Jose M. Cotrina
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Cirugía de Mamas y tumores Blandos, Lima, Peru
| | - Silvia P. Neciosup
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Katia Roque
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Jule Vásquez
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Luis Mas
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Marco Gálvez-Nino
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
| | - Laura Fejerman
- Department of Public Health Sciences, University of California, Davis, Davis, CA, United States
- University of California Davis Comprehensive Cancer Center, University of California, Davis, Davis, CA, United States
| | - Tatiana Vidaurre
- Instituto Nacional de Enfermedades Neoplásicas, Departamento de Oncología Médica, Lima, Peru
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23
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Alvarez A, Bernal AM, Anampa J. Racial disparities in overall survival after the introduction of cyclin-dependent kinase 4/6 inhibitors for patients with hormone receptor-positive, HER2-negative metastatic breast cancer. Breast Cancer Res Treat 2023; 198:75-88. [PMID: 36562909 DOI: 10.1007/s10549-022-06847-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE CDK4/6 inhibitors (CDK4/6i) combined with endocrine therapy have improved HR + /HER2- metastatic breast cancer (MBC) outcomes. However, it is still unclear whether the response to CDK4/6i is similar for all races. Therefore, we aimed to assess overall survival (OS) trends stratified by race in patients with HR + /HER2- MBC after the approval of CDK4/6i, as part of the standard of care, in 2015. METHODS We performed a population-based study using the SEER database. Patients with HR + /HER2- MBC were divided into two time-based cohorts: 1) pre-CDK4/6i era (diagnosed in 2011-2013) and 2) post-CDK4/6i era (diagnosed in 2015-2017). We used propensity score matching and identified 2,684 patients in each cohort that matched in several characteristics. Kaplan-Meier methods were used to estimate 2-year OS. Association between cohort and OS was evaluated using marginal Cox proportional hazards models with robust sandwich variance estimator. We conducted competing risk analysis to estimate the risk of breast cancer death in both cohorts. RESULTS The 2-year OS rate was 65% for the post-CDK4/6i era and 62% for the pre-CDK4/6i era (stratified log-rank p = 0.025). The 2-year OS for non-Hispanic White (NHW) patients improved in the post-CDK4/6i era compared to the pre-CDK4/6i era (67% vs. 63%, p = 0.033). However, OS did not improve for non-Hispanic Black (NHB) (54% vs. 54%, p = 0.876) or Hispanic (67% vs. 65%, p = 0.617) groups. The risk of breast cancer death decreased in the post-CDK4/6i era as compared to the pre-CDK4/6i era (2-year risk of breast cancer death: 33% vs. 30%, p = 0.015); however, this effect was observed only in NHW (sHR 0.84, p = 0.005) women, but not in NHB (sHR 0.94, p = 0.630) or Hispanic (sHR 0.91, p = 0.550) women. CONCLUSIONS Our study confirms that outcomes for HR + /HER2- MBC have improved after CDK4/6i were introduced in 2015. However, this effect is primarily driven by the improved OS in NHW patients, without significant improvement in OS in NHB or Hispanics.
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Affiliation(s)
- Alvaro Alvarez
- Department of Medicine, Hematology/Oncology, Carole and Ray Neag Comprehensive Cancer Center, UCONN Health, Farmington, CT, USA
| | - Ana M Bernal
- Department of Medical Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 1695 Eastchester Rd, Bronx, NY, 10461, USA
| | - Jesus Anampa
- Department of Medical Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 1695 Eastchester Rd, Bronx, NY, 10461, USA.
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24
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Falato C, Schettini F, Pascual T, Brasó-Maristany F, Prat A. Clinical implications of the intrinsic molecular subtypes in hormone receptor-positive and HER2-negative metastatic breast cancer. Cancer Treat Rev 2023; 112:102496. [PMID: 36563600 DOI: 10.1016/j.ctrv.2022.102496] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/30/2022] [Accepted: 12/03/2022] [Indexed: 12/13/2022]
Abstract
Traditionally, the classification of breast cancer relies on the expression of immunohistochemical (IHC) biomarkers readily available in clinical practice. Using highly standardized and reproducible assays across patient cohorts, intrinsic molecular subtypes of breast cancer - also called "intrinsic subtypes" (IS) - have been identified based on the expression of 50 genes. Although IHC-based subgroups and IS moderately correlate to each other, they are not superimposable. In fact, non-luminal biology has been detected in a substantial proportion (5-20%) of hormone receptor-positive (HoR+) tumors, has prognostic value, and identifies reduced and increased sensitivity to endocrine therapy and chemotherapy, respectively. During tumor progression, a shift toward a non-luminal estrogen-independent and more aggressive phenotype has been demonstrated. Intrinsic genomic instability and cell plasticity, alone or combined with external constraints deriving from treatment selective pressure or interplay with the tumor microenvironment, may represent the determinants of such biological diversity between primary and metastatic disease, and during metastatic tumor evolution. In this review, we describe the distribution and the clinical behavior of IS as the disease progresses, focusing on HoR+/HER2-negative advanced breast cancer. In addition, we provide an overview of the ongoing clinical trials aiming to validate the predictive and prognostic value of IS towards their incorporation into routine care.
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Affiliation(s)
- Claudette Falato
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; SOLTI Cancer Research Group, Barcelona, Spain; Department of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden.
| | - Francesco Schettini
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medical Oncology, Hospital Clínic of Barcelona, Barcelona, Spain; Faculty of Medicine, University of Barcelona, Barcelona, Spain.
| | - Tomás Pascual
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; SOLTI Cancer Research Group, Barcelona, Spain; Department of Medical Oncology, Hospital Clínic of Barcelona, Barcelona, Spain.
| | - Fara Brasó-Maristany
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
| | - Aleix Prat
- Translational Genomics and Targeted Therapies in Solid Tumors, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Faculty of Medicine, University of Barcelona, Barcelona, Spain; Reveal Genomics, Barcelona, Spain.
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25
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Walens A, Van Alsten SC, Olsson LT, Smith MA, Lockhart A, Gao X, Hamilton AM, Kirk EL, Love MI, Gupta GP, Perou CM, Vaziri C, Hoadley KA, Troester MA. RNA-Based Classification of Homologous Recombination Deficiency in Racially Diverse Patients with Breast Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:2136-2147. [PMID: 36129803 PMCID: PMC9720427 DOI: 10.1158/1055-9965.epi-22-0590] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/03/2022] [Accepted: 09/14/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Aberrant expression of DNA repair pathways such as homologous recombination (HR) can lead to DNA repair imbalance, genomic instability, and altered chemotherapy response. DNA repair imbalance may predict prognosis, but variation in DNA repair in diverse cohorts of breast cancer patients is understudied. METHODS To identify RNA-based patterns of DNA repair expression, we performed unsupervised clustering on 51 DNA repair-related genes in the Cancer Genome Atlas Breast Cancer [TCGA BRCA (n = 1,094)] and Carolina Breast Cancer Study [CBCS (n = 1,461)]. Using published DNA-based HR deficiency (HRD) scores (high-HRD ≥ 42) from TCGA, we trained an RNA-based supervised classifier. Unsupervised and supervised HRD classifiers were evaluated in association with demographics, tumor characteristics, and clinical outcomes. RESULTS : Unsupervised clustering on DNA repair genes identified four clusters of breast tumors, with one group having high expression of HR genes. Approximately 39.7% of CBCS and 29.3% of TCGA breast tumors had this unsupervised high-HRD (U-HRD) profile. A supervised HRD classifier (S-HRD) trained on TCGA had 84% sensitivity and 73% specificity to detect HRD-high samples. Both U-HRD and S-HRD tumors in CBCS had higher frequency of TP53 mutant-like status (45% and 41% enrichment) and basal-like subtype (63% and 58% enrichment). S-HRD high was more common among black patients. Among chemotherapy-treated participants, recurrence was associated with S-HRD high (HR: 2.38, 95% confidence interval = 1.50-3.78). CONCLUSIONS HRD is associated with poor prognosis and enriched in the tumors of black women. IMPACT RNA-level indicators of HRD are predictive of breast cancer outcomes in diverse populations.
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Affiliation(s)
- Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Sarah C. Van Alsten
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Linnea T. Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Markia A. Smith
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Alex Lockhart
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Xiaohua Gao
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Erin L. Kirk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Michael I. Love
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gaorav P. Gupta
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Cyrus Vaziri
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Katherine A. Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Melissa A. Troester
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
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26
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Aylon Y, Furth N, Mallel G, Friedlander G, Nataraj NB, Dong M, Hassin O, Zoabi R, Cohen B, Drendel V, Salame TM, Mukherjee S, Harpaz N, Johnson R, Aulitzky WE, Yarden Y, Shema E, Oren M. Breast cancer plasticity is restricted by a LATS1-NCOR1 repressive axis. Nat Commun 2022; 13:7199. [PMID: 36443319 PMCID: PMC9705295 DOI: 10.1038/s41467-022-34863-9] [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: 01/12/2022] [Accepted: 11/10/2022] [Indexed: 11/29/2022] Open
Abstract
Breast cancer, the most frequent cancer in women, is generally classified into several distinct histological and molecular subtypes. However, single-cell technologies have revealed remarkable cellular and functional heterogeneity across subtypes and even within individual breast tumors. Much of this heterogeneity is attributable to dynamic alterations in the epigenetic landscape of the cancer cells, which promote phenotypic plasticity. Such plasticity, including transition from luminal to basal-like cell identity, can promote disease aggressiveness. We now report that the tumor suppressor LATS1, whose expression is often downregulated in human breast cancer, helps maintain luminal breast cancer cell identity by reducing the chromatin accessibility of genes that are characteristic of a "basal-like" state, preventing their spurious activation. This is achieved via interaction of LATS1 with the NCOR1 nuclear corepressor and recruitment of HDAC1, driving histone H3K27 deacetylation near NCOR1-repressed "basal-like" genes. Consequently, decreased expression of LATS1 elevates the expression of such genes and facilitates slippage towards a more basal-like phenotypic identity. We propose that by enforcing rigorous silencing of repressed genes, the LATS1-NCOR1 axis maintains luminal cell identity and restricts breast cancer progression.
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Affiliation(s)
- Yael Aylon
- grid.13992.300000 0004 0604 7563Department of Molecular Cell Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Noa Furth
- grid.13992.300000 0004 0604 7563Department of Immunology and Regenerative Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Giuseppe Mallel
- grid.13992.300000 0004 0604 7563Department of Molecular Cell Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Gilgi Friedlander
- grid.13992.300000 0004 0604 7563Department of Life Sciences Core Facilities, The Nancy & Stephen Grand Israel National Center for Personalized Medicine (G-INCPM), The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Nishanth Belugali Nataraj
- grid.13992.300000 0004 0604 7563Department of Immunology and Regenerative Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Meng Dong
- grid.502798.10000 0004 0561 903XDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology and University of Tuebingen, Stuttgart, Germany
| | - Ori Hassin
- grid.13992.300000 0004 0604 7563Department of Molecular Cell Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Rawan Zoabi
- grid.13992.300000 0004 0604 7563Department of Molecular Cell Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Benjamin Cohen
- grid.13992.300000 0004 0604 7563Department of Immunology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Vanessa Drendel
- grid.416008.b0000 0004 0603 4965Department of Pathology, Robert Bosch Hospital, Stuttgart, Germany
| | - Tomer Meir Salame
- grid.13992.300000 0004 0604 7563Flow Cytometry Unit, Department of Life Sciences Core Facilities, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Saptaparna Mukherjee
- grid.13992.300000 0004 0604 7563Department of Molecular Cell Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Nofar Harpaz
- grid.13992.300000 0004 0604 7563Department of Immunology and Regenerative Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Randy Johnson
- grid.240145.60000 0001 2291 4776Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030 USA
| | - Walter E. Aulitzky
- grid.416008.b0000 0004 0603 4965Department of Hematology, Oncology and Palliative Medicine, Robert Bosch Hospital, Stuttgart, Germany
| | - Yosef Yarden
- grid.13992.300000 0004 0604 7563Department of Immunology and Regenerative Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Efrat Shema
- grid.13992.300000 0004 0604 7563Department of Immunology and Regenerative Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Moshe Oren
- grid.13992.300000 0004 0604 7563Department of Molecular Cell Biology, The Weizmann Institute of Science, 76100 Rehovot, Israel
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Olsson LT, Walens A, Hamilton AM, Benefield HC, Fleming JM, Carey LA, Hursting SD, Williams KP, Troester MA. Obesity and Breast Cancer Metastasis across Genomic Subtypes. Cancer Epidemiol Biomarkers Prev 2022; 31:1944-1951. [PMID: 35973227 PMCID: PMC9628732 DOI: 10.1158/1055-9965.epi-22-0013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/12/2022] [Accepted: 08/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Obese women have higher risk of aggressive breast tumors and distant metastasis. However, obesity has rarely been assessed in association with metastasis in diverse populations. METHODS In the Carolina Breast Cancer Study Phase 3 (2008-2013), waist-to-hip ratio (WHR), body mass index (BMI), and molecular subtype [PAM50 risk-of-recurrence (ROR) score] were assessed. Obesity measures were evaluated in association with metastasis within five years of diagnosis, overall and stratified by race and ROR score. Absolute risk of metastasis and risk differences between strata were calculated using the Kaplan-Meier estimator, adjusted for age, grade, stage, race, and ER status. Relative frequency of metastatic site and multiplicity were estimated in association with obesity using generalized linear models. RESULTS High-WHR was associated with higher risk of metastasis (5-year risk difference, RD, 4.3%; 95% confidence interval, 2.2-6.5). It was also associated with multiple metastases and metastases at all sites except brain. The 5-year risk of metastasis differed by race (11.2% and 6.9% in Black and non-Black, respectively) and ROR score (19.5% vs. 6.6% in high vs. low-to-intermediate ROR-PT). Non-Black women and those with low-to-intermediate ROR scores had similar risk in high- and low-WHR strata. However, among Black women and those with high ROR, risk of metastasis was elevated among high-WHR (RDBlack/non-Black = 4.6%, RDHigh/Low-Int = 3.1%). Patterns of metastasis were similar by BMI. CONCLUSIONS WHR is associated with metastatic risk, particularly among Black women and those with high-risk tumors. IMPACT Understanding how risk factors for metastasis interact may help in tailoring care plans and surveillance among patients with breast cancer.
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Affiliation(s)
- Linnea T Olsson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Halei C Benefield
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jodie M Fleming
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC
| | - Lisa A Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Stephen D Hursting
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kevin P Williams
- Biomanufacturing Research Institute and Technology Enterprise, North Carolina Central University, Durham, NC
- Co-senior authors
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Co-senior authors
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Chitkara A, Mesa-Eguiagaray I, Wild SH, Hall PS, Cameron DA, Sims AH, Figueroa JD. Reproductive history differs by molecular subtypes of breast cancer among women aged ≤ 50 years in Scotland diagnosed 2009–2016: a cross-sectional study. Breast Cancer Res Treat 2022; 196:379-387. [PMID: 36116093 PMCID: PMC9581868 DOI: 10.1007/s10549-022-06721-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/19/2022] [Indexed: 11/27/2022]
Abstract
Background The aetiology of breast cancers diagnosed ≤ 50 years of age remains unclear. We aimed to compare reproductive risk factors between molecular subtypes of breast cancer, thereby suggesting possible aetiologic clues, using routinely collected cancer registry and maternity data in Scotland. Methods We conducted a cross-sectional study of 4108 women aged ≤ 50 years with primary breast cancer diagnosed between 2009 and 2016 linked to maternity data. Molecular subtypes of breast cancer were defined using immunohistochemistry (IHC) tumour markers, oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2), and tumour grade. Age-adjusted polytomous logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the association of number of births, age at first birth and time since last birth with IHC-defined breast cancer subtypes. Luminal A-like was the reference compared to luminal B-like (HER2−), luminal B-like (HER2+), HER2-overexpressed and triple-negative breast cancer (TNBC). Results Mean (SD) for number of births, age at first birth and time since last birth was 1.4 (1.2) births, 27.2 (6.1) years and 11.0 (6.8) years, respectively. Luminal A-like was the most common subtype (40%), while HER2-overexpressed and TNBC represented 5% and 15% of cases, respectively. Larger numbers of births were recorded among women with HER2-overexpressed and TNBC compared with luminal A-like tumours (> 3 vs 0 births, OR 1.87, 95%CI 1.18–2.96; OR 1.44, 95%CI 1.07–1.94, respectively). Women with their most recent birth > 10 years compared to < 2 years were less likely to have TNBC tumours compared to luminal A-like (OR 0.63, 95%CI 0.41–0.97). We found limited evidence for differences by subtype with age at first birth. Conclusion Number of births and time since last birth differed by molecular subtypes of breast cancer among women aged ≤ 50 years. Analyses using linked routine electronic medical records by molecularly defined tumour pathology data can be used to investigate the aetiology and prognosis of cancer.
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Affiliation(s)
- Anushri Chitkara
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Ines Mesa-Eguiagaray
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Sarah H Wild
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Peter S Hall
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - David A Cameron
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Andrew H Sims
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Jonine D Figueroa
- Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK.
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
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Yu Y, Zhang J, Lin Y, Kang S, Lv X, Song C. Efficacy and safety of neoadjuvant therapy for triple-negative breast cancer: a Bayesian network meta-analysis. Expert Rev Anticancer Ther 2022; 22:1141-1151. [DOI: 10.1080/14737140.2022.2125381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Yushuai Yu
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
| | - Jie Zhang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
- Breast Cancer Institute, Fujian Medical University, Fuzhou 350001, Fujian Province, China
| | - Yuxiang Lin
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
- Breast Cancer Institute, Fujian Medical University, Fuzhou 350001, Fujian Province, China
| | - Shaohong Kang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
| | - Xinyin Lv
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
| | - Chuangui Song
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, 350001, China
- Breast Cancer Institute, Fujian Medical University, Fuzhou 350001, Fujian Province, China
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Woo JM, Simanek A, O’Brien KM, Parks C, Gaston S, Auer PL, Konkel RH, Jackson CL, Meier HC, Sandler DP. Latent Class Models of Early-life Trauma and Incident Breast Cancer. Epidemiology 2022; 33:729-738. [PMID: 35580243 PMCID: PMC9378657 DOI: 10.1097/ede.0000000000001507] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Psychosocial trauma has been hypothesized to influence breast cancer risk, but little is known about how co-occurring traumas-particularly during early life-may impact incidence. We examine the relationship between multiple measures of early-life trauma and incident breast cancer. METHODS The Sister Study is a prospective cohort study of US women (n = 50,884; enrollment 2003-2009; ages 35-74). Of 45,961 eligible participants, 3,070 developed invasive breast cancer or ductal carcinoma in situ through 2017. We assessed trauma before age 18 using previously studied measures (cumulative score, individual trauma type, and substantive domain) and a six-class latent variable to evaluate co-occurring traumas. We accounted for missing data using multiple imputation and estimated hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional-hazards models. RESULTS Approximately 49% of participants reported early-life trauma. Using the latent class variable approach, breast cancer hazard was higher among participants who had sexual trauma or household dysfunction (HR = 1.1; CI = 0.93, 1.3) or moderate (HR = 1.2; CI = 0.99, 1.4) but not high trauma (HR = 0.66; CI = 0.44, 0.99) compared to low trauma. Breast cancer HRs associated with sexual early-life trauma or household dysfunction were elevated for pre- and postmenopausal breast cancer and by estrogen receptor status. We found no effect modification by race-ethnicity. Estimated effects were attenuated with report of constant childhood social support. CONCLUSIONS Breast cancer incidence varied by latent patterns of co-occurring early-life trauma. Models capturing childhood social support and trauma patterning, rather than cumulative or discrete indicators, may be more meaningful in breast cancer risk assessment.
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Affiliation(s)
- Jennifer M.P. Woo
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Amanda Simanek
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Katie M. O’Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Christine Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Symielle Gaston
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Paul L. Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Rebecca Headley Konkel
- Helen Bader School of Social Welfare, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Chandra L. Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
- Intramural Program, National Institute on Minority Health and Health Disparities, Bethesda, Maryland, USA
| | - Helen C.S. Meier
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
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Adipose Tissue-Derived Mesenchymal Stromal/Stem Cells, Obesity and the Tumor Microenvironment of Breast Cancer. Cancers (Basel) 2022; 14:cancers14163908. [PMID: 36010901 PMCID: PMC9405791 DOI: 10.3390/cancers14163908] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/01/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Adipose tissue is the major microenvironment of breast cancer. Adipose tissue-derived mesenchymal stromal/stem cells (ASCs/MSCs) are key players in adipose tissue. ASCs/MSCs, particularly in the obese state, are critical in remodeling the tumor microenvironment and promoting breast cancer progression. In this review, we have addressed the impact of obesity on ASCs/MSCs, summarized the crosstalk between ASCs/MSCs and breast cancer cells, discussed related molecular mechanisms, and highlighted related research perspectives. Abstract Breast cancer is the most frequently diagnosed cancer and a common cause of cancer-related death in women. It is well recognized that obesity is associated with an enhanced risk of more aggressive breast cancer as well as reduced patient survival. Adipose tissue is the major microenvironment of breast cancer. Obesity changes the composition, structure, and function of adipose tissue, which is associated with inflammation and metabolic dysfunction. Interestingly, adipose tissue is rich in ASCs/MSCs, and obesity alters the properties and functions of these cells. As a key component of the mammary stroma, ASCs play essential roles in the breast cancer microenvironment. The crosstalk between ASCs and breast cancer cells is multilateral and can occur both directly through cell–cell contact and indirectly via the secretome released by ASC/MSC, which is considered to be the main effector of their supportive, angiogenic, and immunomodulatory functions. In this narrative review, we aim to address the impact of obesity on ASCs/MSCs, summarize the current knowledge regarding the potential pathological roles of ASCs/MSCs in the development of breast cancer, discuss related molecular mechanisms, underline the possible clinical significance, and highlight related research perspectives. In particular, we underscore the roles of ASCs/MSCs in breast cancer cell progression, including proliferation and survival, angiogenesis, migration and invasion, the epithelial–mesenchymal transition, cancer stem cell development, immune evasion, therapy resistance, and the potential impact of breast cancer cells on ASCS/MSCs by educating them to become cancer-associated fibroblasts. We conclude that ASCs/MSCs, especially obese ASCs/MSCs, may be key players in the breast cancer microenvironment. Targeting these cells may provide a new path of effective breast cancer treatment.
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Davodabadi F, Sarhadi M, Arabpour J, Sargazi S, Rahdar A, Díez-Pascual AM. Breast cancer vaccines: New insights into immunomodulatory and nano-therapeutic approaches. J Control Release 2022; 349:844-875. [PMID: 35908621 DOI: 10.1016/j.jconrel.2022.07.036] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/23/2022] [Accepted: 07/25/2022] [Indexed: 10/16/2022]
Abstract
Breast cancer (BC) is known to be a highly heterogeneous disease that is clinically subdivided into four primary molecular subtypes, each having distinct morphology and clinical implications. These subtypes are principally defined by hormone receptors and other proteins involved (or not involved) in BC development. BC therapeutic vaccines [including peptide-based vaccines, protein-based vaccines, nucleic acid-based vaccines (DNA/RNA vaccines), bacterial/viral-based vaccines, and different immune cell-based vaccines] have emerged as an appealing class of cancer immunotherapeutics when used alone or combined with other immunotherapies. Employing the immune system to eliminate BC cells is a novel therapeutic modality. The benefit of active immunotherapies is that they develop protection against neoplastic tissue and readjust the immune system to an anti-tumor monitoring state. Such immunovaccines have not yet shown effectiveness for BC treatment in clinical trials. In recent years, nanomedicines have opened new windows to increase the effectiveness of vaccinations to treat BC. In this context, some nanoplatforms have been designed to efficiently deliver molecular, cellular, or subcellular vaccines to BC cells, increasing the efficacy and persistence of anti-tumor immunity while minimizing undesirable side effects. Immunostimulatory nano-adjuvants, liposomal-based vaccines, polymeric vaccines, virus-like particles, lipid/calcium/phosphate nanoparticles, chitosan-derived nanostructures, porous silicon microparticles, and selenium nanoparticles are among the newly designed nanostructures that have been used to facilitate antigen internalization and presentation by antigen-presenting cells, increase antigen stability, enhance vaccine antigenicity and remedial effectivity, promote antigen escape from the endosome, improve cytotoxic T lymphocyte responses, and produce humoral immune responses in BC cells. Here, we summarized the existing subtypes of BC and shed light on immunomodulatory and nano-therapeutic strategies for BC vaccination. Finally, we reviewed ongoing clinical trials on BC vaccination and highlighted near-term opportunities for moving forward.
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Affiliation(s)
- Fatemeh Davodabadi
- Department of Biology, Faculty of Basic Science, Payame Noor University, Tehran, Iran
| | - Mohammad Sarhadi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan 9816743463, Iran
| | - Javad Arabpour
- Department of Microbiology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Young Researchers and Elite Club, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Saman Sargazi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan 9816743463, Iran.
| | - Abbas Rahdar
- Department of Physics, University of Zabol, Zabol 98613-35856, Iran.
| | - Ana M Díez-Pascual
- Universidad de Alcalá, Facultad de Ciencias, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid-Barcelona, Km. 33.6, 28805 Alcalá de Henares, Madrid, Spain.
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Hossain FM, Danos DM, Fu Q, Wang X, Scribner RA, Chu ST, Horswell RL, Price-Haywood EG, Collins-Burow BM, Wu XC, Ochoa AC, Miele L. Association of Obesity and Diabetes With the Incidence of Breast Cancer in Louisiana. Am J Prev Med 2022; 63:S83-S92. [PMID: 35725146 PMCID: PMC9973383 DOI: 10.1016/j.amepre.2022.02.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Breast cancer is a heterogeneous disease, consisting of multiple molecular subtypes. Obesity has been associated with an increased risk for postmenopausal breast cancer, but few studies have examined breast cancer subtypes separately. Obesity is often complicated by type 2 diabetes, but the possible association of diabetes with specific breast cancer subtypes remains poorly understood. METHODS In this retrospective case-control study, Louisiana Tumor Registry records of primary invasive breast cancer diagnosed in 2010-2015 were linked to electronic health records in the Louisiana Public Health Institute's Research Action for Health Network. Controls were selected from Research Action for Health Network and matched to cases by age and race. Conditional logistic regression was used to identify metabolic risk factors. Data analysis was conducted in 2020‒2021. RESULTS There was a significant association between diabetes and breast cancer for Luminal A, Triple-Negative Breast Cancer, and human epidermal growth factor 2‒positive subtypes. In multiple logistic regression, including both obesity status and diabetes as independent risk factors, Luminal A breast cancer was also associated with overweight status. Diabetes was associated with increased risk for Luminal A and Triple-Negative Breast Cancer in subgroup analyses, including women aged ≥50 years, Black women, and White women. CONCLUSIONS Although research has identified obesity and diabetes as risk factors for breast cancer, these results underscore that comorbid risk is complex and may differ by molecular subtype. There was a significant association between diabetes and the incidence of Luminal A, Triple-Negative Breast Cancer, and human epidermal growth factor 2‒positive breast cancer in Louisiana.
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Affiliation(s)
- Fokhrul M Hossain
- Department of Genetics, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana; Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Denise M Danos
- Department of Behavioral & Community Health Sciences (BCHS), School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Qiufan Fu
- Department of Biostatistics, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Xinnan Wang
- Department of Biostatistics, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Richard A Scribner
- Department of Epidemiology, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - San T Chu
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Ronald L Horswell
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | | | - Bridgette M Collins-Burow
- Hematology/Oncology, John W. Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, Louisiana
| | - Xiao-Cheng Wu
- Department of Epidemiology, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana; Louisiana Tumor Registry, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Augusto C Ochoa
- Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana; Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Lucio Miele
- Department of Genetics, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana; Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, Louisiana.
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Hamilton AM, Hurson AN, Olsson LT, Walens A, Nsonwu-Farley J, Kirk EL, Abdou Y, Downs-Canner SM, Serody JS, Perou CM, Calhoun BC, Troester MA, Hoadley KA. The Landscape of Immune Microenvironments in Racially Diverse Breast Cancer Patients. Cancer Epidemiol Biomarkers Prev 2022; 31:1341-1350. [PMID: 35437570 PMCID: PMC9292136 DOI: 10.1158/1055-9965.epi-21-1312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 03/01/2022] [Accepted: 04/12/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Immunotherapy is a rapidly evolving treatment option in breast cancer; However, the breast cancer immune microenvironment is understudied in Black and younger (<50 years) patients. METHODS We used histologic and RNA-based immunoprofiling methods to characterize the breast cancer immune landscape in 1,952 tumors from the Carolina Breast Cancer Study (CBCS), a population-based study that oversampled Black (n = 1,030) and young women (n = 1,039). We evaluated immune response leveraging markers for 10 immune cell populations, compared profiles to those in The Cancer Genome Atlas (TCGA) Project [n = 1,095 tumors, Black (n = 183), and young women (n = 295)], and evaluated in association with clinical and demographic variables, including recurrence. RESULTS Consensus clustering identified three immune clusters in CBCS (adaptive-enriched, innate-enriched, or immune-quiet) that varied in frequency by race, age, tumor grade and subtype; however, only two clusters were identified in TCGA, which were predominantly comprised of adaptive-enriched and innate-enriched tumors. In CBCS, the strongest adaptive immune response was observed for basal-like, HER2-positive (HER2+), triple-negative breast cancer (TNBC), and high-grade tumors. Younger patients had higher proportions of adaptive-enriched tumors, particularly among estrogen receptor (ER)-negative (ER-) cases. Black patients had higher frequencies of both adaptive-enriched and innate-enriched tumors. Immune clusters were associated with recurrence among ER- tumors, with adaptive-enriched showing the best and innate-enriched showing the poorest 5-year recurrence-free survival. CONCLUSIONS These data suggest that immune microenvironments are intricately related to race, age, tumor subtype, and grade. IMPACT Given higher mortality among Black and young women, more defined immune classification using cell-type-specific panels could help explain higher recurrence and ultimately lead to targetable interventions.
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Affiliation(s)
- Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Amber N. Hurson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Linnea T. Olsson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Andrea Walens
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Joseph Nsonwu-Farley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Erin L. Kirk
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Yara Abdou
- Department of Medicine, Division of Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Stephanie M. Downs-Canner
- Department of Surgery, Division of Surgical Oncology and Endocrine Surgery, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Jonathan S. Serody
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC, 27599, USA
- Division of Hematology/Oncology, Department of Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Charles M. Perou
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Benjamin C. Calhoun
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Melissa A. Troester
- Department of Pathology and Laboratory Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Katherine A. Hoadley
- Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
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Carvalho TM, Brasil GO, Jucoski TS, Adamoski D, de Lima RS, Spautz CC, Anselmi KF, Ozawa PMM, Cavalli IJ, Carvalho de Oliveira J, Gradia DF, Ribeiro EMDSF. MicroRNAs miR-142-5p, miR-150-5p, miR-320a-3p, and miR-4433b-5p in Serum and Tissue: Potential Biomarkers in Sporadic Breast Cancer. Front Genet 2022; 13:865472. [PMID: 35846122 PMCID: PMC9280295 DOI: 10.3389/fgene.2022.865472] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 05/16/2022] [Indexed: 12/18/2022] Open
Abstract
Breast cancer (BC) is a heterogeneous disease, and establishing biomarkers is essential to patient management. We previously described that extracellular vesicle–derived miRNAs (EV-miRNAs) miR-142-5p, miR-150-5p, miR-320a, and miR-4433b-5p in serum discriminated BC from control samples, either alone or combined in a panel. Using these previously described markers, we intend to evaluate whether the same markers identified in EVs are also potential biomarkers in tissue and serum. Expression analysis using RT-qPCR was performed using serum of 67 breast cancer patients (BC-S), 19 serum controls (CT), 83 fresh tumor tissues (BC-T), and 29 adjacent nontumor tissue samples (NT). In addition, analysis from The Cancer Genome Atlas (TCGA) data (832 BC-T and 136 NT) was performed. In all comparisons, we found concordant high expression levels of miR-320a and miR-4433b-5p in BC-S compared to CT in both EVs and cell-free miRNAs (cf-miRNAs). Although miR-150-5p and miR-142-5p were not found to be differentially expressed in serum, panels including these miRNAs improved sensitivity and specificity, supporting our previous findings in EVs. Fresh tissue and data from the TCGA database had, in most comparisons, an opposite behavior when compared to serum and EVs: lower levels of all miRNAs in BC-T than those in NT samples. TCGA analyses revealed reduced expression levels of miR-150-5p and miR-320a-3p in BC-T than those in NT samples and the overexpression of miR-142-5p in BC-T, unlike our RT-qPCR results from tissue in the Brazilian cohort. The fresh tissue analysis showed that all miRNAs individually could discriminate between BC-T and NT in the Brazilian cohort, with high sensitivity and sensibility. Furthermore, combining panels showed higher AUC values and improved sensitivity and specificity. In addition, lower levels of miR-320a-3p in serum were associated with poor overall survival in BC Brazilian patients. In summary, we observed that miR-320a and miR-4433b-5p distinguished BC from controls with high specificity and sensibility, regardless of the sample source. In addition, lower levels of miR-150-5p and higher levels of miR-142-5p were statistically significant biomarkers in tissue, according to TCGA. When combined in panels, all combinations could distinguish BC patients from controls. These results highlight a potential application of these miRNAs as BC biomarkers.
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Affiliation(s)
- Tamyres Mingorance Carvalho
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Guillermo Ortiz Brasil
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Tayana Schultz Jucoski
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Douglas Adamoski
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Sao Paulo, Brazil
| | | | | | | | - Patricia Midori Murobushi Ozawa
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Iglenir João Cavalli
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Jaqueline Carvalho de Oliveira
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Daniela Fiori Gradia
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
| | - Enilze Maria de Souza Fonseca Ribeiro
- Laboratory of Human Cytogenetics and Oncogenetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná (UFPR), Curitiba, Brazil
- *Correspondence: Enilze Maria de Souza Fonseca Ribeiro,
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Schedin P, Palmer JR. Can Breast Cancer Prevention Strategies Be Tailored to Biologic Subtype and Unique Reproductive Windows? J Natl Cancer Inst 2022; 114:1575-1576. [PMID: 35723566 PMCID: PMC9745422 DOI: 10.1093/jnci/djac114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 05/31/2022] [Indexed: 01/11/2023] Open
Affiliation(s)
- Pepper Schedin
- Correspondence to: Pepper Schedin, PhD, Department of Cell, Developmental and Cancer Biology, Knight Cancer Institute, Oregon Health & Science University, 2720 S Moody St, Portland, OR 97201, USA (e-mail: )
| | - Julie R Palmer
- Department of Medicine, Section of Hematology/Oncology, Boston University School of Medicine, Boston, MA, USA,Slone Epidemiology Center at Boston University, Boston, MA, USA
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Burchardt NA, Eliassen AH, Shafrir AL, Rosner B, Tamimi RM, Kaaks R, Tworoger SS, Fortner RT. Oral contraceptive use by formulation and breast cancer risk by subtype in the Nurses' Health Study II: a prospective cohort study. Am J Obstet Gynecol 2022; 226:821.e1-821.e26. [PMID: 34921803 DOI: 10.1016/j.ajog.2021.12.022] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/30/2021] [Accepted: 12/08/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Oral contraceptive use has been associated with a higher breast cancer risk; however, evidence for the associations between different oral contraceptive formulations and breast cancer risk, especially by disease subtype, is limited. OBJECTIVE This study aimed to evaluate the associations between oral contraceptive use by formulation and breast cancer risk by disease subtype. STUDY DESIGN This prospective cohort study included 113,187 women from the Nurses' Health Study II with recalled information on oral contraceptive usage from 13 years of age to baseline (1989) and updated data on usage until 2009 collected via biennial questionnaires. A total of 5799 breast cancer cases were identified until the end of 2017. Multivariable Cox proportional hazards models estimated hazard ratios and 95% confidence intervals for the associations between oral contraceptive use and breast cancer risk overall and by estrogen and progesterone receptor and human epidermal growth factor receptor 2 status. Oral contraceptive use was evaluated by status of use (current, former, and never), duration of and time since last use independently and cross-classified, and formulation (ie, estrogen and progestin type). RESULTS Current oral contraceptive use was associated with a higher risk for invasive breast cancer (hazard ratio, 1.31; 95% confidence interval, 1.09-1.58) when compared with never use, with stronger associations observed for longer durations of current use (>5 years: hazard ratio, 1.56; 95% confidence interval, 1.23-1.99; ≤5 years: hazard ratio, 1.19; 95% confidence interval, 0.95-1.49). Among former users with >5 years since cessation, the risk was similar to that of never users (eg, >5 to 10 years since cessation: hazard ratio, 0.99; 95% confidence interval, 0.88-1.11). Associations did not differ significantly by tumor subtype. In analyses by formulation, current use of formulations containing levonorgestrel in triphasic (hazard ratio, 2.83; 95% confidence interval, 1.98-4.03) and extended cycle regimens (hazard ratio, 3.49; 95% confidence interval, 1.28-9.53) and norgestrel in monophasic regimens (hazard ratio, 1.91; 95% confidence interval, 1.19-3.06), all combined with ethinyl estradiol, was associated with a higher breast cancer risk when compared with never oral contraceptive use. No association was observed for current use of the other progestin types evaluated (norethindrone, norethindrone acetate, ethynodiol diacetate, desogestrel, norgestimate, and drospirenone), however, sample sizes were relatively small for some of the subgroups, limiting these analyses. CONCLUSION Current oral contraceptive use was associated with a higher risk for invasive breast cancer regardless of disease subtype, however, the risk in former users was comparable with never users 5 years after cessation. In analyses by progestin type, associations were observed for select formulations containing levonorgestrel and norgestrel. Assessment of the associations for newer progestin types (desogestrel, norgestimate, drospirenone) was limited by sample size, and further research on more recently introduced progestins is warranted.
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McMullen JRW, Soto U. Newly identified breast luminal progenitor and gestational stem cell populations likely give rise to HER2-overexpressing and basal-like breast cancers. Discov Oncol 2022; 13:38. [PMID: 35633393 PMCID: PMC9148339 DOI: 10.1007/s12672-022-00500-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 05/19/2022] [Indexed: 12/24/2022] Open
Abstract
Breast Cancer (BrC) is a common malignancy with genetically diverse subtypes. There is evidence that specific BrC subtypes originate from particular normal mammary cell populations. However, the cell populations that give rise to most BrC subtypes are unidentified. Several human breast scRNAseq datasets are available. In this research, we utilized a robust human scRNAseq dataset to identify population-specific marker genes and then identified the expression of these marker genes in specific BrC subtypes. In humans, several BrC subtypes, HER2-enriched, basal-like, and triple-negative (TN), are more common in women who have had children. This observation suggests that cell populations that originate during pregnancy give rise to these BrCs. The current human datasets have few normal parous samples, so we supplemented this research with mouse datasets, which contain mammary cells from various developmental stages. This research identified two novel normal breast cell populations that may be the origin of the basal-like and HER2-overexpressing subtypes, respectively. A stem cell-like population, SC, that expresses gestation-specific genes has similar gene expression patterns to basal-like BrCs. A novel luminal progenitor cell population and HER2-overexpressing BrCs are marked by S100A7, S100A8, and S100A9 expression. We bolstered our findings by examining SC gene expression in TN BrC scRNAseq datasets and S100A7-A9 gene expression in BrC cell lines. We discovered that several potential cancer stem cell populations highly express most of the SC genes in TN BrCs and confirmed S100A8 and A9 overexpression in a HER2-overexpressing BrC cell line. In summary, normal SC and the novel luminal progenitor cell population likely give rise to basal-like and HER2-overexpressing BrCs, respectively. Characterizing these normal cell populations may facilitate a better understanding of specific BrCs subtypes.
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Affiliation(s)
- James R W McMullen
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
| | - Ubaldo Soto
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA.
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Computational Screening of Anti-Cancer Drugs Identifies a New BRCA Independent Gene Expression Signature to Predict Breast Cancer Sensitivity to Cisplatin. Cancers (Basel) 2022; 14:cancers14102404. [PMID: 35626009 PMCID: PMC9139442 DOI: 10.3390/cancers14102404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 04/29/2022] [Accepted: 05/02/2022] [Indexed: 12/10/2022] Open
Abstract
Simple Summary Using a collection of publicly available drug screening resources, we identified different partners of genes associated with either sensitivity or resistance to 90 anti-cancer therapies. When subsequently applying these signatures to multiple datasets, we found that these predictive models could predict a large range of drug responses in patient samples. In particular, we discovered a new gene signature to identify breast cancer tumors that are likely to respond to cisplatin in the absence of BRCA1 mutations. This work constitutes an important advance to accelerate the application of platinum-based therapies in patient groups that are not routinely treated with these drugs. In the future, this approach may help to guide the choice of drugs based on the molecular profile of the tumors. Abstract The development of therapies that target specific disease subtypes has dramatically improved outcomes for patients with breast cancer. However, survival gains have not been uniform across patients, even within a given molecular subtype. Large collections of publicly available drug screening data matched with transcriptomic measurements have facilitated the development of computational models that predict response to therapy. Here, we generated a series of predictive gene signatures to estimate the sensitivity of breast cancer samples to 90 drugs, comprising FDA-approved drugs or compounds in early development. To achieve this, we used a cell line-based drug screen with matched transcriptomic data to derive in silico models that we validated in large independent datasets obtained from cell lines and patient-derived xenograft (PDX) models. Robust computational signatures were obtained for 28 drugs and used to predict drug efficacy in a set of PDX models. We found that our signature for cisplatin can be used to identify tumors that are likely to respond to this drug, even in absence of the BRCA-1 mutation routinely used to select patients for platinum-based therapies. This clinically relevant observation was confirmed in multiple PDXs. Our study foreshadows an effective delivery approach for precision medicine.
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O'Brien KM, Harmon QE, Jackson CL, Diaz-Santana MV, Taylor JA, Weinberg CR, Sandler DP. Vitamin D concentrations and breast cancer incidence among Black/African American and non-Black Hispanic/Latina women. Cancer 2022; 128:2463-2473. [PMID: 35466399 DOI: 10.1002/cncr.34198] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Vitamin D may protect against breast cancer. Although Black/African American women and Hispanic/Latina women have lower circulating vitamin D levels than non-Hispanic White women, few studies have examined the association between vitamin D and breast cancer within these racial/ethnic groups. METHODS The vitamin D-breast cancer association was evaluated using a case-cohort sample of self-identified Black/African American and non-Black Hispanic/Latina women participating in the US-wide Sister Study cohort. Circulating 25-hydroxyvitamin D (25(OH)D) and 24,25-dihydroxyvitamin D (24,25(OH)2D) were measured using liquid chromatography-tandem mass spectrometry in blood samples collected at the baseline from 415 women (290 Black/African American women and 125 non-Black Hispanic/Latina women) who developed breast cancer. These were compared to concentrations in 1545 women (1084 Black/African American women and 461 Hispanic/Latina women) randomly selected from the cohort. Multivariable-adjusted Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Over a mean follow-up of 9.2 years, women with circulating 25(OH)D concentrations above the clinical cut point for deficiency (20.0 ng/mL) had lower breast cancer rates than women with concentrations ≤ 20 ng/mL (HR, 0.79; 95% CI, 0.61-1.02). The inverse association was strongest among Hispanic/Latina women (HR, 0.52; 95% CI, 0.29-0.93), with a weaker association observed among Black/African American women (HR, 0.89; 95% CI, 0.68-1.18; P for heterogeneity = 0.13). There were no clear differences by menopausal status, follow-up time, estrogen receptor status, or invasiveness. Neither 24,25(OH)2 D nor the 24,25(OH)2 D to 25(OH)D ratio were independently associated with breast cancer risk. CONCLUSIONS This prospective study supports the hypothesis that vitamin D may be protective against breast cancer incidence in women, including non-Black Hispanic/Latina and Black/African American women.; LAY SUMMARY: Vitamin D may protect against breast cancer. Although women of color have lower average vitamin D levels than non-Hispanic White women, few studies have considered the role of race/ethnicity. In a sample of self-identified Black/African American and Hispanic/Latina women, we observed that vitamin D concentrations measured in blood were inversely associated with breast cancer, particularly among Latinas. These findings indicate that vitamin D may protect women against breast cancer, including those in racial/ethnic groups with low average circulating levels.
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Affiliation(s)
- Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Quaker E Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.,Intramural Program, National Institute on Minority Health and Health Disparities, Bethesda, Maryland
| | - Mary V Diaz-Santana
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
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Associations of Computed Tomography Image-Assessed Adiposity and Skeletal Muscles with Triple-Negative Breast Cancer. Cancers (Basel) 2022; 14:cancers14071846. [PMID: 35406618 PMCID: PMC8997963 DOI: 10.3390/cancers14071846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/29/2022] [Accepted: 04/01/2022] [Indexed: 01/22/2023] Open
Abstract
Obesity measured by anthropometrics is associated with increased risk of triple-negative breast cancer (TNBC). It is unclear to what extent specific adipose tissue components, aside from muscle, are associated with TNBC. This retrospective study included 350 breast cancer patients who received treatment between October 2011 and April 2020 with archived abdominal or pelvic computed tomography (CT) images. We measured the areas of adipose tissue and five-density levels of skeletal muscle on patients' third lumbar vertebra (L3) image. Logistic regression was performed to examine the associations of specific adiposity and skeletal muscles components and a four-category body composition phenotype with the TNBC subtype. Results showed that higher vs. lower areas (3rd vs. 1st tertiles) of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were associated with increased odds of TNBC vs. non-TNBC after adjusting for age, race, stage, tumor grade, tumor size, and skeletal muscle areas (adjusted odds ratio [AOR], 11.25 [95% CI = 3.46-36.52]) and (AOR, 10.34 [95% CI = 2.90-36.90]) respectively. Higher areas of low density muscle was also associated with increased odds of TNBC (AOR, 3.15 [95% CI = 1.05-10.98]). Compared to normal body composition (low adipose tissue/high muscle), high adiposity/high muscle was associated with higher odds of TNBC (AOR, 5.54 [95% CI = 2.12-14.7]). These associations were mainly in premenopausal women and among patients with the CT performed after breast cancer surgery. Specific adipose tissue and low-density muscle can be associated with the TNBC subtype in breast cancer patients. The direction of association warrants confirmation by prospective studies.
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Vohra SN, Reeder-Hayes KE, Nichols HB, Emerson MA, Love MI, Olshan AF, Troester MA. Breast cancer treatment patterns by age and time since last pregnancy in the Carolina Breast Cancer Study Phase III. Breast Cancer Res Treat 2022; 192:435-445. [PMID: 35006482 PMCID: PMC8930462 DOI: 10.1007/s10549-022-06511-9] [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: 10/01/2021] [Accepted: 12/31/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE To describe breast cancer treatment patterns among premenopausal women by age and time since last pregnancy. METHODS Data were analyzed from 1179 women diagnosed with premenopausal breast cancer in the Carolina Breast Cancer Study. Of these, 160 had a recent pregnancy (within 5 years of cancer diagnosis). Relative frequency differences (RFDs) and 95% confidence intervals (CIs) were used to compare cancer stage, treatment modality received, treatment initiation delay (> 30 days), and prolonged treatment duration (> 2 to > 8 months depending on the treatment received) by age and recency of pregnancy. RESULTS Recently postpartum women were significantly more likely to have stage III disease [RFD (95% CI) 12.2% (3.6%, 20.8%)] and to receive more aggressive treatment compared to nulliparous women. After adjustment for age, race and standard clinical tumor characteristics, recently postpartum women were significantly less likely to have delayed treatment initiation [RFD (95% CI) - 11.2% (- 21.4%, - 1.0%)] and prolonged treatment duration [RFD (95% CI) - 17.5% (- 28.0%, - 7.1%)] and were more likely to have mastectomy [RFD (95% CI) 14.9% (4.8%, 25.0%)] compared to nulliparous. Similarly, younger women (< 40 years of age) were significantly less likely to experience prolonged treatment duration [RFD (95% CI) - 5.6% (- 11.1%, - 0.0%)] and more likely to undergo mastectomy [RFD (95% CI) 10.6% (5.2%, 16.0%)] compared to the study population as a whole. CONCLUSION These results suggest that recently postpartum and younger women often received prompt and aggressive breast cancer treatment. Higher mortality and recurrence among recently pregnant women are unlikely to be related to undertreatment.
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Affiliation(s)
- Sanah N Vohra
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Katherine E Reeder-Hayes
- Division of Hematology/Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hazel B Nichols
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Marc A Emerson
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael I Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Fouzat A, Hussein OJ, Gupta I, Al-Farsi HF, Khalil A, Al Moustafa AE. Elaeagnus angustifolia Plant Extract Induces Apoptosis via P53 and Signal Transducer and Activator of Transcription 3 Signaling Pathways in Triple-Negative Breast Cancer Cells. Front Nutr 2022; 9:871667. [PMID: 35369073 PMCID: PMC8971957 DOI: 10.3389/fnut.2022.871667] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 02/21/2022] [Indexed: 12/29/2022] Open
Abstract
Elaeagnus angustifolia (EA) is used as an alternative medicine in the Middle East to manage numerous human diseases. We recently reported that EA flower extract inhibits cell proliferation and invasion of human oral and HER2-positive breast cancer cells. Nevertheless, the outcome of EA extract on triple-negative breast cancer (TNBC) cells has not been explored yet. We herein investigate the effect of the aqueous EA extract (100 and 200 μl/ml) on two TNBC cell lines (MDA-MB-231 and MDA-MB-436) for 48 h and explore its underlying molecular pathways. Our data revealed that EA extract suppresses cell proliferation by approximately 50% and alters cell-cycle progression of these two cancer cell lines. Additionally, EA extract induces cell apoptosis by 40–50%, accompanied by the upregulation of pro-apoptotic markers (Bax and cleaved caspase-8) and downregulation of the anti-apoptotic marker, Bcl-2. Moreover, EA extract inhibits colony formation compared to their matched control. More significantly, the molecular pathway analysis of EA-treated cells revealed that EA extract enhances p53 expression, while inhibiting the expression of total and phosphorylated Signal Transducer and Activator Of Transcription 3 (STAT3) in both cell lines, suggesting p53 and STAT3 are the main key players behind the biological events provoked by the extract in TNBC cells. Our findings implicate that EA flower extract may possess an important potential as an anticancer drug against TNBC.
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Affiliation(s)
- Arij Fouzat
- College of Pharmacy, QU Health, Qatar University, Doha, Qatar
| | | | - Ishita Gupta
- College of Medicine, QU Health, Qatar University, Doha, Qatar
| | | | - Ashraf Khalil
- College of Pharmacy, QU Health, Qatar University, Doha, Qatar
| | - Ala-Eddin Al Moustafa
- College of Medicine, QU Health, Qatar University, Doha, Qatar
- Biomedical Research Centre, Qatar University, Doha, Qatar
- *Correspondence: Ala-Eddin Al Moustafa, ,
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Vohra SN, Walens A, Hamilton AM, Sherman ME, Schedin P, Nichols HB, Reeder-Hayes KE, Olshan AF, Love MI, Troester MA. Molecular and Clinical Characterization of Postpartum-Associated Breast Cancer in the Carolina Breast Cancer Study Phase I-III, 1993-2013. Cancer Epidemiol Biomarkers Prev 2022; 31:561-568. [PMID: 34810211 PMCID: PMC8901538 DOI: 10.1158/1055-9965.epi-21-0940] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/20/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Breast cancers in recently postpartum women may have worse outcomes, but studies examining tumor molecular features by pregnancy recency have shown conflicting results. METHODS This analysis used Carolina Breast Cancer Study data to examine clinical and molecular tumor features among women less than 50 years of age who were recently (≤10 years prior) or remotely (>10 years prior) postpartum, or nulliparous. Prevalence odds ratios (POR) and 95% confidence intervals (CI) were estimated using multivariable models. RESULTS Recently postpartum women (N = 618) were more frequently lymph node-positive [POR (95% CI): 1.66 (1.26-2.19)], estrogen receptor (ER)-negative [1.37 (1.02-1.83)], and IHC-based triple negative [1.57 (1.00-2.47)] compared with nulliparous (N = 360) women. Some differences were identified between recent versus remotely postpartum; smaller tumor size [0.67 (0.52-0.86)], p53 wildtype [0.53 (0.36-0.77)], and non-basal-like phenotype [0.53 (0.33-0.84)] were more common among recently postpartum. Recently postpartum (vs. nulliparous) had significant enrichment for adaptive immunity, T cells, B cells, CD8 T cells, activated CD8 T cells/natural killer (NK) cells, and T follicular helper (Tfh) cells and higher overall immune cell scores. These differences were attenuated in remotely (compared with recently) postpartum women. CONCLUSIONS These results suggest a dominant effect of parity (vs. nulliparity) and a lesser effect of pregnancy recency on tumor molecular features, although tumor immune microenvironments were altered in association with pregnancy recency. IMPACT Our study is unique in examining tumor immune microenvironment and RNA-based markers according to time since last childbirth. Future studies should examine the interplay between tumor features, postdiagnostic treatment, and outcomes among recently postpartum women. See related commentary by McDonald et al., p. 518.
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Affiliation(s)
- Sanah N. Vohra
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Andrea Walens
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Alina M. Hamilton
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Mark E. Sherman
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Pepper Schedin
- Department of Cell, Developmental and Cancer Biology, and The Knight Cancer Institute, University of Oregon Health & Science University, Portland, Oregon, United States of America
| | - Hazel B. Nichols
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Katherine E. Reeder-Hayes
- Division of Hematology/Oncology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Michael I. Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Melissa A. Troester
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
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Hirko KA, Rocque G, Reasor E, Taye A, Daly A, Cutress RI, Copson ER, Lee DW, Lee KH, Im SA, Park YH. The impact of race and ethnicity in breast cancer-disparities and implications for precision oncology. BMC Med 2022; 20:72. [PMID: 35151316 PMCID: PMC8841090 DOI: 10.1186/s12916-022-02260-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/14/2022] [Indexed: 12/14/2022] Open
Abstract
Breast cancer is the most commonly diagnosed cancer worldwide and is one of the leading causes of cancer death. The incidence, pathological features, and clinical outcomes in breast cancer differ by geographical distribution and across racial and ethnic populations. Importantly, racial and ethnic diversity in breast cancer clinical trials is lacking, with both Blacks and Hispanics underrepresented. In this forum article, breast cancer researchers from across the globe discuss the factors contributing to racial and ethnic breast cancer disparities and highlight specific implications of precision oncology approaches for equitable provision of breast cancer care to improve outcomes and address disparities.
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Affiliation(s)
- Kelly A Hirko
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, 48824, USA.
| | - Gabrielle Rocque
- Department of Internal Medicine, Division of Hematology Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Erica Reasor
- Department of Internal Medicine, Division of Hematology Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ammanuel Taye
- Department of Internal Medicine, Division of Hematology Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Alex Daly
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton, Southampton, SO16 6YD, UK
| | - Ramsey I Cutress
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton, Southampton, SO16 6YD, UK
| | - Ellen R Copson
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton, Southampton, SO16 6YD, UK
| | - Dae-Won Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyung-Hun Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seock-Ah Im
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yeon Hee Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul, 06351, Korea
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46
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Akoko LO, Rutashobya AK, Lutainulwa EW, Mwanga AH, Kivuyo SL. The effect of reproductive, hormonal, nutritional and lifestyle on breast cancer risk among black Tanzanian women: A case control study. PLoS One 2022; 17:e0263374. [PMID: 35139096 PMCID: PMC8827470 DOI: 10.1371/journal.pone.0263374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 01/18/2022] [Indexed: 12/29/2022] Open
Abstract
Purpose This study aimed to determine the effect of reproductive, hormonal, lifestyle and nutritional factors on breast cancer development among Tanzanian black women. Methodology We undertook a case-control study age-matched to ±5years in 2018 at Muhimbili National Hospital. The study recruited 105 BC patients and 190 controls giving it 80% power to detect an odds ratio of ≥2 at the alpha error of <5% for exposure with a prevalence of 30% in the control group with 95% confidence. Controls were recruited from in patients being treated for non-cancer related conditions. Information regarding hormonal, reproductive, nutritional and lifestyle risk for breast cancer and demography was collected by interviews using a predefined data set. Conditional multinomial logistic regression used to determine the adjusted odds ratio for variables that had significant p-value in the binomial logistic regression model with 5% allowed error at 95% confidence interval. Results The study recruited 105 cases and 190 controls. Only old age at menopause had a significant risk, a 2.6 fold increase. Adolescent obesity, family history of breast cancer, cigarette smoking and alcohol intake had increased odds for breast cancer but failed to reach significant levels. The rural residency had 61% reduced odds for developing breast cancer though it failed to reach significant levels. Conclusion Older age at menopause is a significant risk factor for the development of breast cancer among Tanzanian women. This study has shed light on the potential role of modifiable risk factors for breast cancer which need to be studied further for appropriate preventive strategies in similar settings.
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Affiliation(s)
- Larry Onyango Akoko
- Department of Surgery, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- * E-mail:
| | - Amonius K. Rutashobya
- Department of Surgery, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | | | - Ally H. Mwanga
- Department of Surgery, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Sokoine L. Kivuyo
- National Institute for Medical Research, Muhimbili Branch, Dar es Salaam, Tanzania
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Xie F, Liu L, Yang H, Liu M, Wang S, Guo J, Yu L, Zhou F, Wang F, Xiang Y, Yu Z, Wang S. OUP accepted manuscript. Oncologist 2022; 27:e1-e8. [PMID: 35305101 PMCID: PMC8842323 DOI: 10.1093/oncolo/oyab018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 11/20/2021] [Indexed: 12/24/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Fei Xie
- Department of Breast Center, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Liyuan Liu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Houpu Yang
- Department of Breast Center, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Miao Liu
- Department of Breast Center, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Siyuan Wang
- Department of Breast Center, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Jiajia Guo
- Department of Breast Center, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Lixiang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Fei Zhou
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Fei Wang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Yujuan Xiang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Zhigang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Zhigang Yu, Department of Breast Surgery, the Second Hospital of Shandong University, 247 Beiyuan Road, Jinan, Shandong 250033, People’s Republic of China. Tel: +86-531-8587-5048;
| | - Shu Wang
- Department of Breast Center, Peking University People’s Hospital, Beijing, People’s Republic of China
- Corresponding author: Shu Wang, Department of Breast Center, Peking University People’s Hospital, 11 Xizhimen South Street, Xicheng, Beijing 100044, People’s Republic of China. Tel: +86-10-8832-4010;
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48
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Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 2022; 31:124-131. [PMID: 34737209 PMCID: PMC8755611 DOI: 10.1158/1055-9965.epi-21-0661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/25/2021] [Accepted: 10/26/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND TP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER subtypes, associations by TP53 status have been inconsistent. METHODS This case-case analysis included incident breast cancer cases (47% Black) from the Carolina Breast Cancer Study (1993-2013). Formalin-fixed paraffin-embedded tumor samples were classified for TP53 functional status (mutant-like/wild-type-like) using a validated RNA signature. For IHC-based TP53 status, mutant-like was classified as at least 10% positivity. We used two-stage polytomous logistic regression to evaluate risk factor heterogeneity due to RNA-based TP53 and/or ER, adjusting for each other and for PR, HER2, and grade. We then compared this with the results when using IHC-based TP53 classification. RESULTS The RNA-based classifier identified 55% of tumors as TP53 wild-type-like and 45% as mutant-like. Several hormone-related factors (oral contraceptive use, menopausal status, age at menopause, and pre- and postmenopausal body mass index) were associated with TP53 mutant-like status, whereas reproductive factors (age at first birth and parity) and smoking were associated with ER status. Multiparity was associated with both TP53 and ER. When classifying TP53 status using IHC methods, no associations were observed with TP53. Associations observed with RNA-based TP53 remained after accounting for basal-like subtype. CONCLUSIONS This case-case study found breast cancer risk factors associated with RNA-based TP53 and ER. IMPACT RNA-based TP53 and ER represent an emerging etiologic schema of interest in breast cancer prevention research.
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Affiliation(s)
- Amber N Hurson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, North Carolina
| | - Kathleen Conway
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Michael I Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Andrew F Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Charles M Perou
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
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49
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Choi SR, Hwang CY, Lee J, Cho KH. Network Analysis Identifies Regulators of Basal-Like Breast Cancer Reprogramming and Endocrine Therapy Vulnerability. Cancer Res 2021; 82:320-333. [PMID: 34845001 DOI: 10.1158/0008-5472.can-21-0621] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/13/2021] [Accepted: 11/15/2021] [Indexed: 11/16/2022]
Abstract
Basal-like breast cancer is the most aggressive breast cancer subtype with the worst prognosis. Despite its high recurrence rate, chemotherapy is the only treatment for basal-like breast cancer, which lacks expression of hormone receptors. In contrast, luminal A tumors express ERα and can undergo endocrine therapy for treatment. Previous studies have tried to develop effective treatments for basal-like patients using various therapeutics but failed due to the complex and dynamic nature of the disease. In this study, we performed a transcriptomic analysis of patients with breast cancer to construct a simplified but essential molecular regulatory network model. Network control analysis identified potential targets and elucidated the underlying mechanisms of reprogramming basal-like cancer cells into luminal A cells. Inhibition of BCL11A and HDAC1/2 effectively drove basal-like cells to transition to luminal A cells and increased ERα expression, leading to increased tamoxifen sensitivity. High expression of BCL11A and HDAC1/2 correlated with poor prognosis in patients with breast cancer. These findings identify mechanisms regulating breast cancer phenotypes and suggest the potential to reprogram basal-like breast cancer cells to enhance their targetability. SIGNIFICANCE: A network model enables investigation of mechanisms regulating the basal-to-luminal transition in breast cancer, identifying BCL11A and HDAC1/2 as optimal targets that can induce basal-like breast cancer reprogramming and endocrine therapy sensitivity.
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Affiliation(s)
- Sea R Choi
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Chae Young Hwang
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Jonghoon Lee
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Kwang-Hyun Cho
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
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50
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Tanda ET, Croce E, Spagnolo F, Zullo L, Spinaci S, Genova C, Rossi G. Immunotherapy in Adolescents and Young Adults: What Remains in Cancer Survivors? Front Oncol 2021; 11:736123. [PMID: 34631569 PMCID: PMC8495150 DOI: 10.3389/fonc.2021.736123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 08/30/2021] [Indexed: 12/25/2022] Open
Abstract
Immunotherapy has changed the landscape of treatments for advanced disease in multiple neoplasms. More and more patients are long survivors from a metastatic disease. Most recently, the extension of indications and evidence of efficacy in early disease settings, such as the adjuvant and neoadjuvant setting in breast cancer, lung cancer, glioma, and gastric cancer, places more attention on what happens to patients who survive cancer. In particular, we evaluated what happens in young patients, a population in whom some immune-related effects are still poorly described. Immunotherapy is already a reality in early disease settings and the scientific community is lagging in describing what to expect in adolescent and young adult (AYA) patients. For instance, the impact of these therapies on female and male fertility is not clear, similarly to the interaction that may occur between these drugs and pregnancy. This review aims to highlight these little-known topics that are difficult to evaluate in ad hoc studies.
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Affiliation(s)
- Enrica Teresa Tanda
- Istituto di Ricovero e Cura A Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino-Oncologia Medica 2, Genova, Italy.,Genetics of Rare Cancers, Department of Internal Medicine and Medical Specialties, University of Genoa, Genova, Italy
| | - Elena Croce
- Istituto di Ricovero e Cura A Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino-Oncologia Medica 2, Genova, Italy
| | - Francesco Spagnolo
- Istituto di Ricovero e Cura A Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino-Oncologia Medica 2, Genova, Italy
| | - Lodovica Zullo
- Istituto di Ricovero e Cura A Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino-Oncologia Medica 2, Genova, Italy
| | - Stefano Spinaci
- Division of Breast Surgery, Ospedale Villa Scassi, Genova, Italy
| | - Carlo Genova
- UO Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Internal Medicine and Medical Specialties (DIMI), Università degli Studi di Genova, Genoa, Italy
| | - Giovanni Rossi
- Medical Oncology Department, Ospedale Padre Antero Micone, Genoa, Italy.,Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
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