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Long Y, Zhang W, Zheng M, Xie Q, Liu H, Hu X, Zhang X, Huang W, Gao X, Jiang C, Jiang C, Gao D, Deng J. Association between breast nodules, anxiety, depression and metabolic risk factors in a Chinese cohort. Front Psychiatry 2023; 14:944354. [PMID: 37275984 PMCID: PMC10232859 DOI: 10.3389/fpsyt.2023.944354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 05/02/2023] [Indexed: 06/07/2023] Open
Abstract
Background The relationship between anxiety, depression, and metabolic parameters and the incidence of breast nodules is unclear. This study aims to investigate the association between female breast nodules and anxiety, depression and metabolic factors. Methods This cross-sectional study recruited 857 individuals with biological indicators and breast ultrasound data from the Daping hospital from April 2021 to February 2022. Serum samples were used to measure fasting blood glucose, uric acid, triglycerides, total cholesterol, urea nitrogen, alanine transaminase, aspartate transaminase, albumin, high-density lipoprotein, low-density lipoprotein. Self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to assess the level of anxiety and depression. Result The positive rate of breast nodules in women aged 40 to 49 years old was significantly higher than that of other age women. The proportion of participants aged 40-49 years old in the group with breast nodules was significantly higher than that in the group without breast nodules (34.6% vs. 16.9%, p<0.001). Breast nodules in postmenopausal women were significantly lower than those in premenopausal women (26.4% vs. 73.6%, p = 0.026). The SAS scores of women with breast nodules were higher than those of the no-nodules group (40.99 ± 8.45 vs. 38.94 ± 6.89, p<0.001), same as the SDS scores (41.97 ± 10.33 vs. 38.91 ± 7.60, p < 0.001). The number of women suffering from anxiety in the group of breast nodules was significantly higher than that in control (13.8% vs. 4.5%, p < 0.001), and the number of depression in the group of breast nodules was also significantly higher than that of in control (14.4% vs. 4.5%, p < 0.001). Women with breast nodules showed a slightly lower uric acid level than those without breast nodules (290.11 ± 65.32 vs. 301.43 ± 65.93 umol/L, p = 0.016). Multivariable logistic regression analysis showed that age, menopausal status, anxiety and depression status were significantly associated with the presence of breast nodules, but there was no significant difference in uric acid. Conclusion Our findings offer insight into the occurrence of depression and anxiety in the breast nodules of Chinese women. Anxiety and depression status, age and menopausal status may be the independent risk factors for the occurrence of breast nodules.
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Affiliation(s)
- Yan Long
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wei Zhang
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Maolan Zheng
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Qian Xie
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - He Liu
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xiaotong Hu
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xuelan Zhang
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wei Huang
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xia Gao
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chunmao Jiang
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Can Jiang
- Department of Sleep and Psychology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Dong Gao
- Department of Sleep and Psychology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Juan Deng
- Department of Health Management, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Geriatric Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Abubakar M, Fan S, Bowles EA, Widemann L, Duggan MA, Pfeiffer RM, Falk RT, Lawrence S, Richert-Boe K, Glass AG, Kimes TM, Figueroa JD, Rohan TE, Gierach GL. Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk. JNCI Cancer Spectr 2021; 5:pkab015. [PMID: 33981950 PMCID: PMC8103888 DOI: 10.1093/jncics/pkab015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/09/2020] [Accepted: 02/01/2021] [Indexed: 12/18/2022] Open
Abstract
Background Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge. Methods By applying machine-learning to digitized hematoxylin and eosin-stained biopsies and computer-assisted thresholding to mammograms obtained circa BBD diagnosis, we generated quantitative tissue composition metrics and determined their association with future invasive breast cancer diagnosis. Archival breast biopsies and mammograms were obtained for women (18-86 years of age) in a case-control study, nested within a cohort of 15 395 BBD patients from Kaiser Permanente Northwest (1970-2012), followed through mid-2015. Patients who developed incident invasive breast cancer (ie, cases; n = 514) and those who did not (ie, controls; n = 514) were matched on BBD diagnosis age and plan membership duration. All statistical tests were 2-sided. Results Increasing epithelial area on the BBD biopsy was associated with increasing breast cancer risk (odds ratio [OR]Q4 vs Q1 = 1.85, 95% confidence interval [CI] = 1.13 to 3.04; P trend = .02). Conversely, increasing stroma was associated with decreased risk in nonproliferative, but not proliferative, BBD (P heterogeneity = .002). Increasing epithelium-to-stroma proportion (ORQ4 vs Q1 = 2.06, 95% CI =1.28 to 3.33; P trend = .002) and percent mammographic density (MBD) (ORQ4 vs Q1 = 2.20, 95% CI = 1.20 to 4.03; P trend = .01) were independently and strongly predictive of increased breast cancer risk. In combination, women with high epithelium-to-stroma proportion and high MBD had substantially higher risk than those with low epithelium-to-stroma proportion and low MBD (OR = 2.27, 95% CI = 1.27 to 4.06; P trend = .005), particularly among women with nonproliferative (P trend = .01) vs proliferative (P trend = .33) BBD. Conclusion Among BBD patients, increasing epithelium-to-stroma proportion on BBD biopsies and percent MBD at BBD diagnosis were independently and jointly associated with increasing breast cancer risk. These findings were particularly striking for women with nonproliferative disease (comprising approximately 70% of all BBD patients), for whom relevant predictive biomarkers are lacking.
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Affiliation(s)
- Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
- Correspondence to: Mustapha Abubakar, MD, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, 9609 Medical Center Drive, Rockville, MD, USA (e-mail: )
| | - Shaoqi Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Erin Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Lea Widemann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Máire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
| | - Scott Lawrence
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc, Frederick, MD, USA
| | | | - Andrew G Glass
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Teresa M Kimes
- Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Jonine D Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, USA
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Xiaotan Jieyu Prescription Alleviates Breast Precancerous Lesions through PI3K/Akt Signaling Pathway. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2020; 2020:4129461. [PMID: 32849898 PMCID: PMC7441443 DOI: 10.1155/2020/4129461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 03/23/2020] [Accepted: 04/16/2020] [Indexed: 11/21/2022]
Abstract
Methods The successfully established breast precancerous lesion rat model and normal healthy rats were randomly assigned into the blank (BLA), model (MOD), XTJY-low (LD), XTJY-medium (MD), XTJY-high (HD), and tamoxifen (TAM) groups. Different concentrations of XTJY and saline were supplied by intragastric administration for 4 consecutive weeks to assess the protective effect of XTJY on the progress of the breast precancerous lesion in rats involving the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt) signaling pathway. Results In this study, it determined that 10 mg/each rat DMBA-combined estrogen and progesterone induction for 10 weeks was the optimal condition for the establishment of the breast precancerous lesion rat model. In vivo administration of XTJY or TAM was found to inhibit the development of the breast precancerous lesion, and the occurrence rate of breast invasive carcinomas was decreased by about 50%. Furthermore, XTJY or TAM markedly reduced protein expressions of PI3K and p-Akt and increased protein expressions of PTEN. Conclusion These data indicated that XTJY can significantly alleviate the development of breast precancerous lesions by inhibiting the activation of the PI3K/Akt signaling pathway. XTJY may be a promising drug for the treatment of precancerous lesions in breast cancer.
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Autenshlyus AI, Studenikina AA, Bernado AV, Mikhailova ES, Proskura AV, Sidorov SV, Varaksin NA, Lyakhovich VV. [Assessment of the cytokine-producing resource of tumor biopsy samples from patients with invasive carcinoma of no special type and with non-malignant breast diseases]. BIOMEDIT︠S︡INSKAI︠A︡ KHIMII︠A︡ 2019; 65:418-423. [PMID: 31666415 DOI: 10.18097/pbmc20196505418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Breast cancer, in most cases, is a malignant neoplasm associated with infiltration of a tumor with the cells that form its microenvironment and produce various cytokines. The aim of the study was to evaluate the cytokine-producing function of tumor cells and their microenvironment in biopsy specimen of patients with invasive carcinoma of no special type and in patients with benign breast diseases. To assess the cytokine-producing activity of the tumor and its microenvironment, the index of polyclonal activators influence on cytokine production by biopsy specimens of patients with invasive carcinoma of no special type (group I) and in patients with benign breast tumors (group II) was calculated. Group II was further subdivided into group IIa, which included only patients with fibroadenoma, and group IIb, which included the patients with leaf-shaped fibroadenoma, fibroadenomatosis, fibrocystic mastopathy, intraductal papillomatosis, sclerosing adenosis and fibrocystic mastopathy with microcalcifications. The concentrations of IL-2, IL-6, IL-8, IL-10, IL-17, IL-18, IL-1β, IL-1Ra, TNF-α, IFN-γ, G-CSF, GM-CSF, VEGF, and MCP-1 were measured in tumor biopsy supernatants. When comparing groups I and II, higher indices of the polyclonal activators influence on the production of IL-17, IL-18 and TNF-α were observed in patients with benign diseases. Higher indices of the polyclonal activators influence on the production of IL-18, TNF-α, and IL-1β and the ratio of IL1β/IL1Ra were observed in patients with fibroadenoma as compared to those with invasive carcinoma of no special type. There were no significant differences in the indices of the polyclonal activators influence between groups I and IIb. This suggests the existence of changes in the mammary gland in patients of group IIb similar to those present in patients with invasive carcinoma of no special type. Higher indices of polyclonal activators influence on the production of IL-1β, as well as the ratio of IL1β/IL1Ra were observed in the patients of group IIa compared to the patients of group IIb. The results of the study identify the features of the cytokine-producing resource of tumor biopsy specimens in patients with invasive carcinoma of no special type and with benign breast tumors.
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Affiliation(s)
- A I Autenshlyus
- Novosibirsk State Medical University, Novosibirsk, Russia; Institute of Molecular Biology and Biophysics, Novosibirsk, Russia
| | | | - A V Bernado
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - E S Mikhailova
- Novosibirsk State Medical University, Novosibirsk, Russia; Institute of Molecular Biology and Biophysics, Novosibirsk, Russia
| | - A V Proskura
- Institute of Molecular Biology and Biophysics, Novosibirsk, Russia
| | - S V Sidorov
- Novosibirsk State University, Novosibirsk, Russia
| | - N A Varaksin
- JSC "Vector-Best", Koltsovo, Novosibirsk Region, Russia
| | - V V Lyakhovich
- Institute of Molecular Biology and Biophysics, Novosibirsk, Russia
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Dairkee SH, Luciani-Torres G, Moore DH, Jaffee IM, Goodson WH. A Ternary Mixture of Common Chemicals Perturbs Benign Human Breast Epithelial Cells More Than the Same Chemicals Do Individually. Toxicol Sci 2019; 165:131-144. [PMID: 29846718 PMCID: PMC6135635 DOI: 10.1093/toxsci/kfy126] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
As a continuous source of hormonal stimulation, environmentally ubiquitous estrogenic chemicals, ie, xenoestrogens (XEs), are a potential risk factor for breast carcinogenesis. Given their wide distribution in the environment and the fact that bisphenol-A (BPA), methylparaben (MP), and perfluorooctanoic acid (PFOA) are uniformly detected in unselected body fluid samples, it must be assumed that humans are simultaneously exposed to these chemicals almost daily. We studied the effects of a ternary mixture of BPA, MP, and PFOA on benign breast epithelial cells at the range of concentrations observed for single chemicals in human samples. Measurements of exposure impact relevant to the breast were based on endpoints associated with “hallmarks” of cancer and “key characteristics” of carcinogens. These included modulation of total estrogen receptor (ER)α, phosphorylated ERα (pERα), total ERβ, S-phase induction, and apoptotic evasion. Data from live cell measurements were fit to a log-linear dose-response model. Concentration-dependent reduction of ERβ and apoptosis evasion was observed concurrently with the induction of ERα, pERα, and S-phase fraction, and an increased rate of cell proliferation. Beyond additive effects predicted by the sum of individual test XEs, mixture treatment demonstrated synergism for the ERβ and apoptosis suppression phenotypes (p > .001). Nonmalignant breast cells were more sensitive than commonly used breast cancer lines to XE treatment in 3 of 5 endpoints. All observations were validated with cells isolated from the normal breast tissue of 14 individuals. At relatively low concentrations, a chemical mixture has striking effects on normal cell function that are missed by evaluation of single components.
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Affiliation(s)
| | | | - Dan H Moore
- California Pacific Medical Center Research Institute
| | - Ian M Jaffee
- Department of Pathology, California Pacific Medical Center, San Francisco, California 94107
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Lee KH, Shin TJ, Kim WH, Cho JY. Methylation of LINE-1 in cell-free DNA serves as a liquid biopsy biomarker for human breast cancers and dog mammary tumors. Sci Rep 2019; 9:175. [PMID: 30655558 PMCID: PMC6336845 DOI: 10.1038/s41598-018-36470-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 11/21/2018] [Indexed: 12/15/2022] Open
Abstract
Breast cancer (BC) is one of the most common cancers in both women and female dogs. Methylation changes of LINE-1 have been reported in human cancers. The aim of this study was to determine the hypomethylation of canine LINE-1 in liquid biopsies for canine mammary tumors (CMT) and to assess its diagnostic performance in human plasma. BC associated LINE-1 methylation was measured by methylation sensitive (HpaII) and insensitive (MspI) restriction enzyme digestion followed by real-time PCR using the cfDNA isolated from 300 µl of plasma. The relative level of methylated canine LINE-1 was less than 0.4 in the benign and malignant CMTs (0.29 ± 0.061 and 0.39 ± 0.066, respectively) when it was 0.92 ± 0.067 in the healthy controls. The area under the ROC curve (AUC) was significantly high in both benign and malignant tumors (0.97 and 0.93). Furthermore, this approach was also successfully implemented in a set of 26 human BCs with 10 healthy controls (AUC = 0.78). Altogether, our data suggest that the comparative approach using a dog model might be helpful to rapidly develop a new diagnostic biomarker and that the methylation of LINE-1 in cfDNA may be a good target as a diagnostic marker of both human BC and CMT.
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Affiliation(s)
- Kang-Hoon Lee
- Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul, South Korea
| | - Tae-Jin Shin
- Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul, South Korea
| | - Wan-Hee Kim
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea
| | - Je-Yoel Cho
- Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul, South Korea.
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Marzo-Castillejo M, Vela-Vallespín C. [Overdiagnosis in cancer]. Aten Primaria 2018; 50 Suppl 2:51-56. [PMID: 30268494 PMCID: PMC6836900 DOI: 10.1016/j.aprim.2018.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 08/04/2018] [Indexed: 12/30/2022] Open
Abstract
Overdiagnosis of cancer is the detection of asymptomatic cancers that do not grow or they are growing with such slowness, that they would never have caused medical problems in the patient during the course of their life. Often they are tumours that are detected through population screenings but also in the clinical context due to incidental findings from image tests with advanced technology. Some of these tumours could even disappear spontaneously without treatment. The patient may die as a result of another disease before the cancer has caused symptoms. For that reason, the diagnosis of these tumours is an important cause of over-treatment, which can include serious risks and toxicity. Although overdiagnosis can occur in any disease, it is more relevant in the case of cancer.
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Affiliation(s)
- Mercè Marzo-Castillejo
- Unitat Suport Recerca Metropolitana Sud-IDIAP Jordi Gol, Institut Català de la Salut, Cornellà de Llobregat, Barcelona, España; Grupo de Trabajo de Prevención del Cáncer del PAPPS; Grupo de Trabajo de Cáncer de la semFYC.
| | - Carmen Vela-Vallespín
- Grupo de Trabajo de Prevención del Cáncer del PAPPS; Grupo de Trabajo de Cáncer de la semFYC; CAP Riu Nord i Riu Sud, Institut Català de la Salut, Santa Coloma de Gramenet, Barcelona, España
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Salamat F, Niakan B, Keshtkar A, Rafiei E, Zendehdel M. Subtypes of Benign Breast Disease as a Risk Factor of Breast Cancer: A Systematic Review and Meta Analyses. IRANIAN JOURNAL OF MEDICAL SCIENCES 2018; 43:355-364. [PMID: 30046203 PMCID: PMC6055208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND Researchers suggest that benign breast disease (BBD) is a key risk factor for breast cancer. The present study aimed to determinate the risk level of breast cancer in terms of various BBD subgroups. METHODS A meta-analysis was performed to determinate the risk of breast cancer associated with BBD. Observational studies (traditional case-control studies, nested case-control studies, and cohort studies) published from January 2000 to June 2015 were assessed to evaluate the risk of developing breast cancer related to BBD. Various databases such as Medline (PubMed), Web of Science (ISI), Scopus, and Google Scholar were searched. The additional search included the Journal of Breast Cancer Research and Treatment and the Journal of Cancer Research. RESULTS Twenty studies out of 21 were used to estimate the risk of developing breast cancer related to proliferative disease without atypia versus non-proliferative disease and the reported risk ranged from 1.04 to 1.83. The reported risk of developing breast cancer related to proliferative disease with atypia versus non-proliferative disease in 21 studies ranged from 1.59 to 4.74. Based on 20 studies, the pooled risk estimates for developing breast cancer related to proliferative disease without atypia versus non-proliferative disease was 1.58 (95% CI: 1.51-1.66). Based on 21 studies, the pooled risk estimates for developing breast cancer related to proliferative disease with atypia versus non-proliferative disease was 3.49 (95% CI: 3.23-3.77). CONCLUSION The overall result of this review showed an elevated risk for breast cancer related to BBD subtypes. We propose better strategies for screening recommendations for such women.
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Affiliation(s)
- Fatemeh Salamat
- Cancer Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Babak Niakan
- Cancer Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Abbasali Keshtkar
- Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Rafiei
- Razi Clinical Research Development Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Manoosh Zendehdel
- Reproductive Health Research Center, Guilan University of Medical Sciences, Rasht, Iran
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Posso M, Corominas JM, Serrano L, Román M, Torá‐Rocamora I, Domingo L, Romero A, Quintana MJ, Vernet‐Tomas M, Baré M, Vidal C, Sánchez M, Saladié F, Natal C, Ferrer J, Servitja S, Sala M, Castells X. Biomarkers expression in benign breast diseases and risk of subsequent breast cancer: a case-control study. Cancer Med 2017; 6:1482-1489. [PMID: 28470951 PMCID: PMC5463091 DOI: 10.1002/cam4.1080] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 03/28/2017] [Accepted: 03/29/2017] [Indexed: 11/16/2022] Open
Abstract
Women with benign breast diseases (BBD) have a high risk of breast cancer. However, no biomarkers have been clearly established to predict cancer in these women. Our aim was to explore whether estrogen receptor (ER), progesterone receptor (PR), and Ki67 expression stratify risk of breast cancer in screened women with BBD. We conducted a nested case-control study. Women with breast cancer and prior BBDs (86 cases) were matched to women with prior BBDs who were free from breast cancer (172 controls). The matching factors were age at BBD diagnosis, type of BBD, and follow-up time since BBD diagnosis. ER, PR, and Ki67 expression were obtained from BBDs' specimens. Conditional logistic regression was used to estimate odds ratios (ORs), and 95% confidence intervals (CIs) of breast cancer risk according to ER, PR, and Ki67 expression. Women with >90% of ER expression had a higher risk of breast cancer (OR = 2.63; 95% CI: 1.26-5.51) than women with ≤70% of ER expression. Similarly, women with >80% of PR expression had a higher risk of breast cancer (OR = 2.22; 95% CI: 1.15-4.27) than women with ≤40% of PR expression. Women with proliferative disease and ≥1% of Ki67 expression had a nonsignificantly increased risk of breast cancer (OR = 1.16; 95% CI: 0.46-2.90) than women with <1% of Ki67 expression. A high expression of ER and PR in BBD is associated with an increased risk of subsequent breast cancer. In proliferative disease, high Ki67 expression may also have an increased risk. This information is helpful to better characterize BBD and is one more step toward personalizing the clinical management of these women.
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Affiliation(s)
- Margarita Posso
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Department of Clinical Epidemiology and Public HealthHospital de la Santa Creu i Sant Pau (IIB Sant Pau)BarcelonaSpain
| | - Josep M. Corominas
- Pathology DepartmentIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Laia Serrano
- Pathology DepartmentIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Marta Román
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Research Network on Health Services in Chronic Diseases (REDISSEC)BarcelonaSpain
| | - Isabel Torá‐Rocamora
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Research Network on Health Services in Chronic Diseases (REDISSEC)BarcelonaSpain
| | - Laia Domingo
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Research Network on Health Services in Chronic Diseases (REDISSEC)BarcelonaSpain
- Agency for Health Quality and Assessment of Catalonia (AQuAS)BarcelonaSpain
| | - Anabel Romero
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Research Network on Health Services in Chronic Diseases (REDISSEC)BarcelonaSpain
| | - María Jesús Quintana
- Department of Clinical Epidemiology and Public HealthHospital de la Santa Creu i Sant Pau (IIB Sant Pau)BarcelonaSpain
- CIBER of Epidemiology and Public Health (CIBERESP)BarcelonaSpain
| | - María Vernet‐Tomas
- Obstetrics and Gynecology DepartmentIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Marisa Baré
- Clinical Epidemiology and Cancer ScreeningParc Taulí University HospitalBarcelonaSpain
| | - Carmen Vidal
- Cancer Prevention and Control ProgramCatalan Institute of OncologyBarcelonaSpain
| | - Mar Sánchez
- Direction General of Public HealthDepartment of HealthGovernment of CantabriaSantanderSpain
| | - Francina Saladié
- Breast Cancer Screening Program of TarragonaThe Foundation League for the Research and Prevention of CancerTarragonaSpain
| | - Carmen Natal
- Principality of Asturias Breast Cancer Screening ProgramPrincipality of AsturiasOviedoSpain
| | - Joana Ferrer
- Radiology DepartmentHospital de Santa CaterinaGironaSpain
| | - Sònia Servitja
- Oncology DepartmentIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - María Sala
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Research Network on Health Services in Chronic Diseases (REDISSEC)BarcelonaSpain
| | - Xavier Castells
- Department of Epidemiology and EvaluationIMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Research Network on Health Services in Chronic Diseases (REDISSEC)BarcelonaSpain
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