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Vasileiou G, Costa MJ, Long C, Wetzler IR, Hoyer J, Kraus C, Popp B, Emons J, Wunderle M, Wenkel E, Uder M, Beckmann MW, Jud SM, Fasching PA, Cavallaro A, Reis A, Hammon M. Breast MRI texture analysis for prediction of BRCA-associated genetic risk. BMC Med Imaging 2020; 20:86. [PMID: 32727387 PMCID: PMC7388478 DOI: 10.1186/s12880-020-00483-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 07/10/2020] [Indexed: 01/31/2023] Open
Abstract
Background BRCA1/2 deleterious variants account for most of the hereditary breast and ovarian cancer cases. Prediction models and guidelines for the assessment of genetic risk rely heavily on criteria with high variability such as family cancer history. Here we investigated the efficacy of MRI (magnetic resonance imaging) texture features as a predictor for BRCA mutation status. Methods A total of 41 female breast cancer individuals at high genetic risk, sixteen with a BRCA1/2 pathogenic variant and twenty five controls were included. From each MRI 4225 computer-extracted voxels were analyzed. Non-imaging features including clinical, family cancer history variables and triple negative receptor status (TNBC) were complementarily used. Lasso-principal component regression (L-PCR) analysis was implemented to compare the predictive performance, assessed as area under the curve (AUC), when imaging features were used, and lasso logistic regression or conventional logistic regression for the remaining analyses. Results Lasso-selected imaging principal components showed the highest predictive value (AUC 0.86), surpassing family cancer history. Clinical variables comprising age at disease onset and bilateral breast cancer yielded a relatively poor AUC (~ 0.56). Combination of imaging with the non-imaging variables led to an improvement of predictive performance in all analyses, with TNBC along with the imaging components yielding the highest AUC (0.94). Replacing family history variables with imaging components yielded an improvement of classification performance of ~ 4%, suggesting that imaging compensates the predictive information arising from family cancer structure. Conclusions The L-PCR model uncovered evidence for the utility of MRI texture features in distinguishing between BRCA1/2 positive and negative high-risk breast cancer individuals, which may suggest value to diagnostic routine. Integration of computer-extracted texture analysis from MRI modalities in prediction models and inclusion criteria might play a role in reducing false positives or missed cases especially when established risk variables such as family history are missing.
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Affiliation(s)
- Georgia Vasileiou
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany.
| | - Maria J Costa
- Siemens Healthcare, Imaging Analytics Germany, 91054, Erlangen, Germany
| | - Christopher Long
- Siemens Healthcare, Imaging Analytics Germany, 91054, Erlangen, Germany
| | - Iris R Wetzler
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Juliane Hoyer
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Cornelia Kraus
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Bernt Popp
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Julius Emons
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Marius Wunderle
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Evelyn Wenkel
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Sebastian M Jud
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Alexander Cavallaro
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - André Reis
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054, Erlangen, Germany
| | - Matthias Hammon
- Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
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Trecate G, Manoukian S, Suman L, Vergnaghi D, Marchesini M, Agresti R, Ferraris C, Peissel B, Scaramuzza D, Bergonzi S. Is there a Specific Magnetic Resonance Phenotype Characteristic of Hereditary Breast Cancer? TUMORI JOURNAL 2018; 96:363-84. [DOI: 10.1177/030089161009600301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Aims and background The aim of the study was to investigate the growth rate of inherited breast cancer, to analyze its T2 signal intensity besides kinetic and morphologic aspects, and to verify whether there is any correlation between magnetic resonance imaging phenotype and BRCA status. Methods Between June 2000 and September 2009, we enrolled 227 women at high genetic risk for breast cancer in a surveillance program, within a multicenter project of the Istituto Superiore di Sanità (Rome). Results Thirty-four cancers were detected among 31 subjects. One patient refused magnetic resonance imaging because of claustrophobia. Compared with sporadic disease, hereditary cancer showed some differences, in terms of biologic attitude and semeiotic patterns. These differences were mainly registered for magnetic resonance imaging, where the most frequent radiological variant was represented by the very high T2 signal intensity (73%). Moreover, the size of 8 of the neoplasms showed a significant increase in less than one year, 5 of them in less than 6 months. Six lesions were in BRCA1 patients and the remaining in BRCA2. Furthermore, cancers with a high growth rate also demonstrated a significant increment in T2 signal intensity. Conclusions Our results confirmed the high growth rate within BRCA-related breast cancers, especially for BRCA1 mutation carriers. In our experience, we found a specific imaging phenotype, represented by the high T2 signal intensity of hereditary breast cancer. To our knowledge, this is the first report that points out this new semeiotic parameter, which is usually typical of benign lesions. Considering the correlation between high growth rate and high T2 signal intensity, the former seems to be related to the absence of induction of a desmoplastic reaction that could somehow restrict cancer growth.
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Affiliation(s)
- Giovanna Trecate
- Unit of Diagnostic Radiology “1”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Siranuosh Manoukian
- Department of Experimental Oncology-Medical Genetics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Laura Suman
- Unit of Diagnostic Radiology “3”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniele Vergnaghi
- Unit of Diagnostic Radiology “1”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Monica Marchesini
- Unit of Diagnostic Radiology “3”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Roberto Agresti
- Unit of Breast Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Cristina Ferraris
- Unit of Breast Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Bernard Peissel
- Department of Experimental Oncology-Medical Genetics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Davide Scaramuzza
- Unit of Diagnostic Radiology “1”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Silvana Bergonzi
- Unit of Diagnostic Radiology “3”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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Non-BRCA familial breast cancer: review of reported pathology and molecular findings. Pathology 2017; 49:363-370. [PMID: 28450088 DOI: 10.1016/j.pathol.2017.03.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 03/07/2017] [Accepted: 03/16/2017] [Indexed: 01/02/2023]
Abstract
The majority of women evaluated for a clinical concern of possible hereditary breast cancer syndromes have no identified pathogenic variants in genes predisposing them to breast cancer. Non-BRCA1- or BRCA2-related familial breast cancer, also called 'BRCAX', thus comprises a sizeable proportion of familial breast cancer but it is poorly understood. In this study, we reviewed 14 studies on histopathology and molecular studies of BRCAX to determine if there were differences between 'sporadic' breast cancers and compared to cancers arising in women harbouring variants in known cancer predisposition genes. Across available literature, there was inconsistency on inclusion and exclusion criteria, reported parameters, and use of controls. Cohorts were small, and while several studies reported findings that appeared to distinguish the BRCAX cases from sporadic and/or gene-positive controls, no findings were reported in more than one study. To determine whether the BRCAX families might still contain important genetic subsets awaiting discovery will require prospective ascertainment of a large number of women with familial breast cancer who are screened for all currently established predisposition genes, whose tumours are assessed for multiple parameters in a uniform manner, and in which controls (BRCA1/2+ and non-familial 'sporadic' cases) are collected from the same population.
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Rhiem K, Engel C, Graeser M, Zachariae S, Kast K, Kiechle M, Ditsch N, Janni W, Mundhenke C, Golatta M, Varga D, Preisler-Adams S, Heinrich T, Bick U, Gadzicki D, Briest S, Meindl A, Schmutzler RK. The risk of contralateral breast cancer in patients from BRCA1/2 negative high risk families as compared to patients from BRCA1 or BRCA2 positive families: a retrospective cohort study. Breast Cancer Res 2012; 14:R156. [PMID: 23216834 PMCID: PMC4053142 DOI: 10.1186/bcr3369] [Citation(s) in RCA: 77] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2012] [Accepted: 10/23/2012] [Indexed: 01/23/2023] Open
Abstract
Introduction While it has been reported that the risk of contralateral breast cancer in patients from BRCA1 or BRCA2 positive families is elevated, little is known about contralateral breast cancer risk in patients from high risk families that tested negative for BRCA1/2 mutations. Methods A retrospective, multicenter cohort study was performed from 1996 to 2011 and comprised 6,235 women with unilateral breast cancer from 6,230 high risk families that had tested positive for BRCA1 (n = 1,154) or BRCA2 (n = 575) mutations or tested negative (n = 4,501). Cumulative contralateral breast cancer risks were calculated using the Kaplan-Meier product-limit method and were compared between groups using the log-rank test. Cox regression analysis was applied to assess the impact of the age at first breast cancer and the familial history stratified by mutation status. Results The cumulative risk of contralateral breast cancer 25 years after first breast cancer was 44.1% (95%CI, 37.6% to 50.6%) for patients from BRCA1 positive families, 33.5% (95%CI, 22.4% to 44.7%) for patients from BRCA2 positive families and 17.2% (95%CI, 14.5% to 19.9%) for patients from families that tested negative for BRCA1/2 mutations. Younger age at first breast cancer was associated with a higher risk of contralateral breast cancer. For women who had their first breast cancer before the age of 40 years, the cumulative risk of contralateral breast cancer after 25 years was 55.1% for BRCA1, 38.4% for BRCA2, and 28.4% for patients from BRCA1/2 negative families. If the first breast cancer was diagnosed at the age of 50 or later, 25-year cumulative risks were 21.6% for BRCA1, 15.5% for BRCA2, and 12.9% for BRCA1/2 negative families. Conclusions Contralateral breast cancer risk in patients from high risk families that tested negative for BRCA1/2 mutations is similar to the risk in patients with sporadic breast cancer. Thus, the mutation status should guide decision making for contralateral mastectomy.
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Meindl A, Ditsch N, Kast K, Rhiem K, Schmutzler RK. Hereditary breast and ovarian cancer: new genes, new treatments, new concepts. DEUTSCHES ARZTEBLATT INTERNATIONAL 2011; 108:323-30. [PMID: 21637635 DOI: 10.3238/arztebl.2011.0323] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2010] [Accepted: 03/14/2011] [Indexed: 12/12/2022]
Abstract
BACKGROUND Every year, 60,000 women in Germany are found to have breast cancer, and 9000 to have ovarian cancer. Familial clustering of carcinoma is seen in about 20% of cases. METHODS We selectively review relevant articles published up to December 2010 that were retrieved by a search in PubMed, and we also discuss findings from the experience of the German Consortium for Hereditary Breast and Ovarian Cancer. RESULTS High risk is conferred by the highly penetrant BRCA1 and BRCA2 genes as well as by other genes such as RAD51C. Genes for breast cancer that were originally designated as moderately penetrant display higher penetrance than previously thought in families with a hereditary predisposition. The role these genes play in DNA repair is thought to explain why tumors associated with them are sensitive to platin derivatives and PARP inhibitors. In carriers of BRCA1 and BRCA2, prophylactic bilateral mastectomy and adnexectomy significantly lowers the incidence of breast and ovarian cancer. Moreover, prophylactic adnexectomy also lowers the breast-and-ovarian-cancer-specific mortality, as well as the overall mortality. If a woman bearing a mutation develops cancer in one breast, her risk of developing cancer in the other breast depends on the particular gene that is mutated and on her age at the onset of disease. CONCLUSION About half of all monogenically determined carcinomas of the breast and ovary are due to a mutation in one or the other of the highly penetrant BRCA genes (BRCA1 and BRCA2). Women carrying a mutated gene have an 80% to 90% chance of developing breast cancer and a 20% to 50% chance of developing ovarian cancer. Other predisposing genes for breast and ovarian cancer have been identified. Clinicians should develop and implement evidence-based treatments on the basis of these new findings.
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Affiliation(s)
- Alfons Meindl
- Klinikum rechts der Isar, aBteilung Gyn. Tumorgenetik, München.
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Quillin JM, Bodurtha JN, McClish D, Wilson DB. Genetic risk, perceived risk, and cancer worry in daughters of breast cancer patients. J Genet Couns 2011; 20:157-64. [PMID: 21132457 PMCID: PMC4870590 DOI: 10.1007/s10897-010-9336-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2010] [Accepted: 11/08/2010] [Indexed: 10/18/2022]
Abstract
This study explored relationships between worry, perceived risk for breast cancer, consulting a genetic counselor, having genetic testing, and genetic risk for women whose mothers had breast cancer. Analyses involved data from a community-based phone survey of women whose mothers had breast cancer. Participants were categorized as having low, intermediate, or high genetic risk based on their reported family history, in accordance with an accepted classification scheme. The Lerman Breast Cancer Worry Scale measured worry, and participants reported their perceived lifetime likelihood of breast cancer, risk compared to others, and chance from 1 to 100. ANOVA, chi-square, and multiple regression analyses were conducted as appropriate. One hundred-fifty women participated. Mean age was 38 years, and 81% were Caucasian. Fifty-two women had low, 74 had intermediate, and 24 had high genetic risk for breast cancer. There were no significant differences in worry or perceived risk by hereditary risk category. Most high-risk women (91%) had not spoken with a genetic counselor, and no one had previous genetic testing. These findings suggest perceived risk, worry about breast cancer, and use of expert consultation do not match the genetic contribution to risk. There is a need for effectively stratifying and communicating risk in the community and providing tailored reassurance or referral for high-risk assessment.
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Affiliation(s)
- John M Quillin
- Department of Human & Molecular Genetics and Massey Cancer Center, Virginia Commonwealth University, 1101 E. Marshall St, Richmond, VA 23298-0033, USA.
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Chen JH, Chang YC, Chang D, Wang YT, Nie K, Chang RF, Nalcioglu O, Huang CS, Su MY. Reduction of breast density following tamoxifen treatment evaluated by 3-D MRI: preliminary study. Magn Reson Imaging 2010; 29:91-8. [PMID: 20832226 DOI: 10.1016/j.mri.2010.07.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2010] [Accepted: 07/12/2010] [Indexed: 10/19/2022]
Abstract
This study analyzed the change in breast density in women receiving tamoxifen treatment using 3-D MRI. Sixteen women were studied. Each woman received breast MRI before and after tamoxifen. The breast and the fibroglandular tissue were segmented using a computer-assisted algorithm, based on T1-weighted images. The fibroglandular tissue volume (FV) and breast volume (BV) were measured and the ratio was calculated as the percent breast density (%BD). The changes in breast volume (ΔBV), fibroglandular tissue volume (ΔFV) and percent density (Δ%BD) between two MRI studies were analyzed and correlated with treatment duration and baseline breast density. The ΔFV showed a reduction in all 16 women. The Δ%BD showed a mean reduction of 5.8%. The reduction of FV was significantly correlated with baseline FV (P<.001) and treatment duration (P=.03). The percentage change in FV was correlated with duration (P=.049). The reduction in %BD was positively correlated with baseline %BD (P=.02). Women with higher baseline %BD showed more reduction of %BD. Three-dimensional MRI may be useful for the measurement of the small changes of ΔFV and Δ%BD after tamoxifen. These changes can potentially be used to correlate with the future reduction of cancer risk.
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Affiliation(s)
- Jeon-Hor Chen
- Tu & Yuen Center for Functional Onco-Imaging and Department of Radiological Science, University of California Irvine, Irvine, CA 92697, USA
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Ponzone R, Sismondi P. Patients With Breast Cancer Are Unlikely to Benefit From Prophylactic Irradiation of the Contralateral Breast. J Clin Oncol 2008; 26:1014-5; author reply 1015-6. [DOI: 10.1200/jco.2007.15.1860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Riccardo Ponzone
- Gynecological Oncology, University of Turin, Institute for Cancer Research and Treatment of Candiolo, Turin, Italy
| | - Piero Sismondi
- Gynecological Oncology, University of Turin, Institute for Cancer Research and Treatment of Candiolo, Turin, Italy
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Tilanus-Linthorst MMA, Obdeijn IM, Hop WCJ, Causer PA, Leach MO, Warner E, Pointon L, Hill K, Klijn JGM, Warren RML, Gilbert FJ. BRCA1 Mutation and Young Age Predict Fast Breast Cancer Growth in the Dutch, United Kingdom, and Canadian Magnetic Resonance Imaging Screening Trials. Clin Cancer Res 2007; 13:7357-62. [DOI: 10.1158/1078-0432.ccr-07-0689] [Citation(s) in RCA: 84] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Sweeney KJ, Sacchini V. Is there a role for magnetic resonance imaging in a population-based breast cancer screening program? Breast J 2007; 13:543-4. [PMID: 17983392 DOI: 10.1111/j.1524-4741.2007.00501.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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