1
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Kay C, Martinez-Perez C, Dixon JM, Turnbull AK. The Role of Nodes and Nodal Assessment in Diagnosis, Treatment and Prediction in ER+, Node-Positive Breast Cancer. J Pers Med 2023; 13:1476. [PMID: 37888087 PMCID: PMC10608445 DOI: 10.3390/jpm13101476] [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: 08/29/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
The majority of breast cancers are oestrogen receptor-positive (ER+). In ER+ cancers, oestrogen acts as a disease driver, so these tumours are likely to be susceptible to endocrine therapy (ET). ET works by blocking the hormone's synthesis or effect. A significant number of patients diagnosed with breast cancer will have the spread of tumour cells into regional lymph nodes either at the time of diagnosis, or as a recurrence some years later. Patients with node-positive disease have a poorer prognosis and can respond less well to ET. The nodal metastases may be genomically similar or, as is becoming more evident, may differ from the primary tumour. However, nodal metastatic disease is often not assessed, and treatment decisions are almost always based on biomarkers evaluated in the primary tumour. This review will summarise the evidence in the field on ER+, node-positive breast cancer, including diagnosis, treatment, prognosis and predictive tools.
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Affiliation(s)
- Charlene Kay
- Translational Oncology Research Group, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Carlos Martinez-Perez
- Translational Oncology Research Group, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - J Michael Dixon
- Edinburgh Breast Unit, Western General Hospital, NHS Lothian, Edinburgh Eh4 2XU, UK
| | - Arran K Turnbull
- Translational Oncology Research Group, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
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2
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Guo Q, Dong Z, Jiang L, Zhang L, Li Z, Wang D. Predictive Value of Ultrasound Characteristics for Disease-Free Survival in Breast Cancer. Diagnostics (Basel) 2022; 12:diagnostics12071587. [PMID: 35885493 PMCID: PMC9323735 DOI: 10.3390/diagnostics12071587] [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: 05/29/2022] [Revised: 06/25/2022] [Accepted: 06/26/2022] [Indexed: 11/16/2022] Open
Abstract
The main objective of this study was to determine the predictive value of US characteristics for disease-free survival (DFS) in BC patients. We retrospectively analyzed the ultrasonic images and clinical data of BC patients who had previously undergone breast surgery at least 10 years before study enrollment and divided them into a case group and a control group according to the cutoff value of 120 months for DFS. Correlation analysis was performed to identify US characteristics as independent predictors for DFS by multivariable logistic regression and Kaplan−Meier survival analysis. A total of 374 patients were collected, including 174 patients in the case group with short-DFS and 200 patients in the control group with long-DFS. Three US characteristics (size on US, mass shape, mass growth orientation) and two clinical factors (axillary lymph node (ALN), molecular subtypes) were identified as independent predictors for DFS (p < 0.05). The ROC curve showed good performance of the multivariate linear regression model with the area under the curve being 0.777. The US characteristics of large size, irregular shape, and nonparallel orientation were significantly associated with short-DFS, which is a promising supplementary for clinicians to optimize clinical decisions and improve prognosis in BC patients.
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Affiliation(s)
- Qiang Guo
- Department of Ultrasound Medicine, Jinshan Branch of Shanghai Sixth People’s Hospital, Shanghai Jiaotong University, Shanghai 201599, China
- Correspondence: ; Tel.: +86-18930817376
| | - Zhiwu Dong
- Department of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People’s Hospital, Shanghai Jiaotong University, Shanghai 201599, China;
| | - Lixin Jiang
- Department of Ultrasound Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai 201599, China;
| | - Lei Zhang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China; (L.Z.); (Z.L.); (D.W.)
| | - Ziyao Li
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China; (L.Z.); (Z.L.); (D.W.)
| | - Dongmo Wang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China; (L.Z.); (Z.L.); (D.W.)
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3
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Singhal SK, Byun JS, Yan T, Yancey R, Caban A, Gil Hernandez S, Bufford S, Hewitt SM, Winfield J, Pradhan JS, Mustkov V, McDonald JA, Pérez-Stable EJ, Napoles AM, Vohra N, De Siervi A, Yates C, Davis MB, Yang M, Tsai YC, Weissman AM, Gardner K. Protein expression of the gp78 E3-ligase predicts poor breast cancer outcome based on race. JCI Insight 2022; 7:157465. [PMID: 35639484 PMCID: PMC9310521 DOI: 10.1172/jci.insight.157465] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/20/2022] [Indexed: 11/17/2022] Open
Abstract
Women of African ancestry suffer higher rates of breast cancer mortality compared to all other groups in the United States. Though the precise reasons for these disparities remain unclear, many recent studies have implicated a role for differences in tumor biology. Using an epitope-validated antibody against the endoplasmic reticulum-associated degradation (ERAD) E3 ubiquitin ligase, gp78, we show that elevated levels of gp78 in patient breast cancer cells predict poor survival. Moreover, high levels of gp78 are associated with poor outcomes in both ER-positive and ER-negative tumors, and breast cancers expressing elevated amounts of gp78 protein are enriched in gene expression pathways that influence cell cycle, metabolism, receptor-mediated signaling, and cell stress response pathways. In multivariate analysis adjusted for subtype and grade, gp78 protein is an independent predictor of poor outcomes in women of African ancestry. Furthermore, gene expression signatures, derived from patients stratified by gp78 protein expression, are strong predictors of recurrence and pathological complete response in retrospective clinical trial data and share many common features with gene sets previously identified to be overrepresented in breast cancers based on race. These findings implicate a prominent role for gp78 in tumor progression and offer new insights into our understanding of racial differences in breast cancer outcomes.
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Affiliation(s)
- Sandeep K Singhal
- Department of Pathology, University of North Dakota, Grand Forks, United States of America
| | - Jung S Byun
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Tingfen Yan
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Ryan Yancey
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Ambar Caban
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Sara Gil Hernandez
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Sediqua Bufford
- Masters of Science Biotechnology, Morehouse School of Medicine, Atlanta, United States of America
| | - Stephen M Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, United States of America
| | - Joy Winfield
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Jaya Sarin Pradhan
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Vesco Mustkov
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
| | - Jasmine A McDonald
- Department of Epidemiology, Columbia University Medical Center, New York, United States of America
| | - Eliseo J Pérez-Stable
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Anna Maria Napoles
- Intramural Research Program, National Institutes of Minority Health and Health Disparities, Bethesda, United States of America
| | - Nasreen Vohra
- Brody School of Medicine, East Carolina University, Greenville, United States of America
| | - Adriana De Siervi
- Directora del Laboratorio de Oncología Molecular y Nuevos Blancos Terapéut, CONICET, Buenos Aiers, Argentina
| | - Clayton Yates
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, United States of America
| | - Melissa B Davis
- Department of Surgery (Breast Surgery & Oncology), Weill Cornell Medicine, New York, United States of America
| | - Mei Yang
- Laboratory of Protein Dynamics and Signaling, National Cancer Institute, Frederick, United States of America
| | - Yien Che Tsai
- Laboratory of Protein Dynamics and Signaling, National Cancer Institute, Frederick, United States of America
| | - Allan M Weissman
- Laboratory of Protein Dynamics and Signaling, National Cancer Institute, Frederick, United States of America
| | - Kevin Gardner
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, United States of America
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Impact of genomic assays on treatment and outcomes in locally advanced breast cancer. Breast Cancer Res Treat 2022; 194:433-447. [PMID: 35635580 DOI: 10.1007/s10549-022-06625-0] [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: 11/07/2021] [Accepted: 05/03/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE Genomic profiling in early-stage breast cancer provides prognostic and predictive information. Genomic profiling assays have not been validated in locally advanced breast cancer (LABC). We examined a large cancer registry to evaluate genomic profiling in LABC and its effect on treatment decisions and survival. METHODS Females with ER+/HER2- LABC who did not receive neoadjuvant therapy were selected from the National Cancer Database 2004-2017. We compared characteristics between patients with and without genomic profiling and with low genomic risk, 21-gene recurrence score ≤ 25 or low-risk 70-gene signature, treated with endocrine therapy ± chemotherapy. Propensity score methods were utilized to account for covariates that may have predicted treatment. Univariable and multivariable survival analyses were performed. RESULTS Of 18,437 patients with LABC, 1258 (7%) had genomic profiling and 1022 (81%) had low genomic risk results. 562 patients (55%) with low genomic risk received chemotherapy and endocrine therapy (chemoendocrine). Patients who received chemoendocrine therapy were younger, had fewer comorbidities, presented with higher stage disease, had higher grade tumors, more frequently had partial mastectomy, and more often received radiation than those who received endocrine therapy alone. On multivariable analysis, endocrine therapy alone was associated with worse OS compared to chemoendocrine therapy (HR 1.77, 95% CI 1.13-2.78, p = 0.013). CONCLUSION In women with LABC and low genomic risk, endocrine therapy alone was associated with worse OS compared to chemoendocrine therapy. This suggests that genomic profiling is not predictive in LABC. Accordingly, genomic profiling should not be routinely utilized to make adjuvant treatment decisions in LABC in the absence of further data which shows a benefit.
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Bou Zerdan M, Ibrahim M, El Nakib C, Hajjar R, Assi HI. Genomic Assays in Node Positive Breast Cancer Patients: A Review. Front Oncol 2021; 10:609100. [PMID: 33665165 PMCID: PMC7921691 DOI: 10.3389/fonc.2020.609100] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 12/30/2020] [Indexed: 01/16/2023] Open
Abstract
In recent years, developments in breast cancer have allowed yet another realization of individualized medicine in the field of oncology. One of these advances is genomic assays, which are considered elements of standard clinical practice in the management of breast cancer. These assays are widely used today not only to measure recurrence risk in breast cancer patients at an early stage but also to tailor treatment as well and minimize avoidable treatment side effects. At present, genomic tests are applied extensively in node negative disease. In this article, we review the use of these tests in node positive disease, explore their ramifications on neoadjuvant chemotherapy decisions, highlight sufficiently powered recent studies emphasizing their use and review the most recent guidelines.
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Affiliation(s)
- Maroun Bou Zerdan
- Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Maryam Ibrahim
- Division of Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Clara El Nakib
- Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Rayan Hajjar
- Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Hazem I. Assi
- Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
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6
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Harnan S, Tappenden P, Cooper K, Stevens J, Bessey A, Rafia R, Ward S, Wong R, Stein RC, Brown J. Tumour profiling tests to guide adjuvant chemotherapy decisions in early breast cancer: a systematic review and economic analysis. Health Technol Assess 2020; 23:1-328. [PMID: 31264581 DOI: 10.3310/hta23300] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Breast cancer and its treatment can have an impact on health-related quality of life and survival. Tumour profiling tests aim to identify whether or not women need chemotherapy owing to their risk of relapse. OBJECTIVES To conduct a systematic review of the effectiveness and cost-effectiveness of the tumour profiling tests oncotype DX® (Genomic Health, Inc., Redwood City, CA, USA), MammaPrint® (Agendia, Inc., Amsterdam, the Netherlands), Prosigna® (NanoString Technologies, Inc., Seattle, WA, USA), EndoPredict® (Myriad Genetics Ltd, London, UK) and immunohistochemistry 4 (IHC4). To develop a health economic model to assess the cost-effectiveness of these tests compared with clinical tools to guide the use of adjuvant chemotherapy in early-stage breast cancer from the perspective of the NHS and Personal Social Services. DESIGN A systematic review and health economic analysis were conducted. REVIEW METHODS The systematic review was partially an update of a 2013 review. Nine databases were searched in February 2017. The review included studies assessing clinical effectiveness in people with oestrogen receptor-positive, human epidermal growth factor receptor 2-negative, stage I or II cancer with zero to three positive lymph nodes. The economic analysis included a review of existing analyses and the development of a de novo model. RESULTS A total of 153 studies were identified. Only one completed randomised controlled trial (RCT) using a tumour profiling test in clinical practice was identified: Microarray In Node-negative Disease may Avoid ChemoTherapy (MINDACT) for MammaPrint. Other studies suggest that all the tests can provide information on the risk of relapse; however, results were more varied in lymph node-positive (LN+) patients than in lymph node-negative (LN0) patients. There is limited and varying evidence that oncotype DX and MammaPrint can predict benefit from chemotherapy. The net change in the percentage of patients with a chemotherapy recommendation or decision pre/post test ranged from an increase of 1% to a decrease of 23% among UK studies and a decrease of 0% to 64% across European studies. The health economic analysis suggests that the incremental cost-effectiveness ratios for the tests versus current practice are broadly favourable for the following scenarios: (1) oncotype DX, for the LN0 subgroup with a Nottingham Prognostic Index (NPI) of > 3.4 and the one to three positive lymph nodes (LN1-3) subgroup (if a predictive benefit is assumed); (2) IHC4 plus clinical factors (IHC4+C), for all patient subgroups; (3) Prosigna, for the LN0 subgroup with a NPI of > 3.4 and the LN1-3 subgroup; (4) EndoPredict Clinical, for the LN1-3 subgroup only; and (5) MammaPrint, for no subgroups. LIMITATIONS There was only one completed RCT using a tumour profiling test in clinical practice. Except for oncotype DX in the LN0 group with a NPI score of > 3.4 (clinical intermediate risk), evidence surrounding pre- and post-test chemotherapy probabilities is subject to considerable uncertainty. There is uncertainty regarding whether or not oncotype DX and MammaPrint are predictive of chemotherapy benefit. The MammaPrint analysis uses a different data source to the other four tests. The Translational substudy of the Arimidex, Tamoxifen, Alone or in Combination (TransATAC) study (used in the economic modelling) has a number of limitations. CONCLUSIONS The review suggests that all the tests can provide prognostic information on the risk of relapse; results were more varied in LN+ patients than in LN0 patients. There is limited and varying evidence that oncotype DX and MammaPrint are predictive of chemotherapy benefit. Health economic analyses indicate that some tests may have a favourable cost-effectiveness profile for certain patient subgroups; all estimates are subject to uncertainty. More evidence is needed on the prediction of chemotherapy benefit, long-term impacts and changes in UK pre-/post-chemotherapy decisions. STUDY REGISTRATION This study is registered as PROSPERO CRD42017059561. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Sue Harnan
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Paul Tappenden
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Katy Cooper
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - John Stevens
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Alice Bessey
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Rachid Rafia
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Sue Ward
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Ruth Wong
- Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Robert C Stein
- University College London Hospitals Biomedical Research Centre, London, UK.,Research Department of Oncology, University College London, London, UK
| | - Janet Brown
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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7
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Harmonizing gene signatures to predict benefit from adjuvant chemotherapy in early breast cancer. Curr Opin Oncol 2020; 31:472-479. [PMID: 31593974 DOI: 10.1097/cco.0000000000000570] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE OF REVIEW Breast cancer is a heterogeneous disease, including different subtypes with their own biology, prognosis, clinical characteristics and treatment. To date, traditional clinical and pathological determinants remain the main factors guiding treatment decision-making; however, the development of multigene assays improved the ability to predict the risk of recurrence in patients with early-stage breast cancer. These tools underwent an extensive independent validation and have already been partly incorporated into clinical practice. RECENT FINDINGS The current article summarizes current evidence for the use of the different genomic assays in clinical practice, their characteristics and validation studies. A few studies comparing available genomic assays revealed that they provide different information with a modest correlation and that they are not interchangeable; other trials are currently ongoing in this setting. SUMMARY Variability across different gene signatures may be a challenge for the optimal management of the individual patient, hence each assay should be used for the clinical setting in which it has been validated.
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8
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Alexandre M, Maran-Gonzalez A, Viala M, Firmin N, D'Hondt V, Gutowski M, Bourgier C, Jacot W, Guiu S. Decision of Adjuvant Systemic Treatment in HR+ HER2- Early Invasive Breast Cancer: Which Biomarkers Could Help? Cancer Manag Res 2019; 11:10353-10373. [PMID: 31849525 PMCID: PMC6912012 DOI: 10.2147/cmar.s221676] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 09/21/2019] [Indexed: 11/23/2022] Open
Abstract
The decision to administer adjuvant chemotherapy in treatment of early invasive breast cancer (EBC) is often complex, particularly for hormone receptor-positive (HR+) diseases, and current guidelines often classify these patients in an intermediate-risk group. Several biomarkers are currently available in this indication, in order to obtain additional and more accurate prognostic information compared to classic clinicopathological characteristics and guide the indication of adjuvant chemotherapy, optimizing the efficacy/toxicity ratio. We conducted a systematic review to evaluate the clinical validity and clinical utility of five biomarkers (uPA/PAI-1, OncotypeDX®, MammaPrint®, PAM50, and EndoPredict®) in HR+/HER2- EBC, whatever the nodal status. A total of 89 studies met the inclusion criteria. Even though data currently available confirm the clinical validity of these biomarkers, there is a lack of data regarding clinical utility for most of them. Prospective studies in well-defined populations are needed to integrate these biomarkers in a decision strategy.
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Affiliation(s)
- Marie Alexandre
- Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France
| | - Aurélie Maran-Gonzalez
- Department of Pathology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France
| | - Marie Viala
- Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France
| | - Nelly Firmin
- Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France
| | - Véronique D'Hondt
- Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France.,INSERM U1194 - Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France.,University of Montpellier, Montpellier,France
| | - Marian Gutowski
- Department of Surgery, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France
| | - Céline Bourgier
- INSERM U1194 - Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France.,Department of Radiation Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France
| | - William Jacot
- Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France.,INSERM U1194 - Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France.,University of Montpellier, Montpellier,France
| | - Séverine Guiu
- Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier Cedex 5 34298, France.,INSERM U1194 - Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France.,University of Montpellier, Montpellier,France
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9
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Lightbody G, Haberland V, Browne F, Taggart L, Zheng H, Parkes E, Blayney JK. Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application. Brief Bioinform 2019; 20:1795-1811. [PMID: 30084865 PMCID: PMC6917217 DOI: 10.1093/bib/bby051] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 05/01/2018] [Indexed: 12/28/2022] Open
Abstract
There has been an exponential growth in the performance and output of sequencing technologies (omics data) with full genome sequencing now producing gigabases of reads on a daily basis. These data may hold the promise of personalized medicine, leading to routinely available sequencing tests that can guide patient treatment decisions. In the era of high-throughput sequencing (HTS), computational considerations, data governance and clinical translation are the greatest rate-limiting steps. To ensure that the analysis, management and interpretation of such extensive omics data is exploited to its full potential, key factors, including sample sourcing, technology selection and computational expertise and resources, need to be considered, leading to an integrated set of high-performance tools and systems. This article provides an up-to-date overview of the evolution of HTS and the accompanying tools, infrastructure and data management approaches that are emerging in this space, which, if used within in a multidisciplinary context, may ultimately facilitate the development of personalized medicine.
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Affiliation(s)
- Gaye Lightbody
- School of Computing, Ulster University, Newtownabbey, UK
| | - Valeriia Haberland
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Fiona Browne
- School of Computing, Ulster University, Newtownabbey, UK
| | | | - Huiru Zheng
- School of Computing, Ulster University, Newtownabbey, UK
| | - Eileen Parkes
- Centre for Cancer Research & Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Jaine K Blayney
- Centre for Cancer Research & Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
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10
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Schreuder K, Kuijer A, Bentum S, van Dalen T, Siesling S. Use and Impact of the 21-Gene Recurrence Score in Relation to the Clinical Risk of Developing Metastases in Early Breast Cancer Patients in the Netherlands. Public Health Genomics 2019; 21:85-92. [PMID: 30650410 DOI: 10.1159/000495742] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 11/23/2018] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The nationwide use of the 21-gene recurrence score (21-RS) and implications regarding chemotherapy administration in relation to clinical risk in early breast cancer patients are investigated. METHODS Breast cancer patients surgically treated between 2014 and 2016 were selected from the Netherlands Cancer Registry and categorized as having a clinical low, intermediate, or high risk of developing metastases. Deployment of the 21-RS is advocated in patients with an intermediate risk of developing metastases. The use and impact of the 21-RS test result on chemotherapy administration were assessed in relation to the clinical risk as well as patient and tumor characteristics; χ2 tests were used for analysis. RESULTS Of all patients, 20,488 were considered as clinical low-, 4,309 as intermediate-, and 15,266 as high-risk patients. The 21-RS was deployed in 0.1% (n = 23), 3.2% (n = 137), and 0.6% (n = 90) of these categories, respectively. In the clinical intermediate-risk group, the 21-RS assigned 73.7, 13.1, and 13.1% of patients to the genomic low-, intermediate-, and high-risk category, respectively. Adherence to the 21-RS was 95.6% in these patients. CONCLUSION In the Netherlands, the 21-RS test is applied both inside and outside the guideline-directed area. In case of discordance between the genomic and clinical risk, patients were treated in line with the result of the 21-RS.
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Affiliation(s)
- Kay Schreuder
- Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands, .,Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands,
| | - Anne Kuijer
- Department of Surgery, Diakonessenhuis Utrecht, Utrecht, The Netherlands
| | - Sanne Bentum
- Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Thijs van Dalen
- Department of Surgery, Diakonessenhuis Utrecht, Utrecht, The Netherlands
| | - Sabine Siesling
- Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.,Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands
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11
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Abstract
The number of breast cancer (BC) cases is growing worldwide, being most frequently diagnosed in the early-setting. Mammaprint™ is a 70-gene-expression signature, originally designed for selecting early BC patients with low risk of developing metastasis, so that they could be spared adjuvant chemotherapy. Its use as a prognostic biomarker has been extensively validated, both retrospectively and prospectively. However, its value as a predictive tool and as a clinically useful tool remains controversial. This review will describe how the test works, its application in the clinic and its limitations. Cost-effectiveness studies will be summarized. Finally, we will provide a perspective on the use of Mammaprint in the near future, as a valuable tool for personalizing the treatment of early BC patients.
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Affiliation(s)
- Mariana Brandão
- Institut Jules Bordet & L'Université Libre de Bruxelles (U.L.B.), 121, 1000, Brussels, Belgium
| | - Noam Pondé
- Institut Jules Bordet & L'Université Libre de Bruxelles (U.L.B.), 121, 1000, Brussels, Belgium
| | - Martine Piccart-Gebhart
- Institut Jules Bordet & L'Université Libre de Bruxelles (U.L.B.), 121, 1000, Brussels, Belgium
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12
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Alfarsi L, Johnston S, Liu DX, Rakha E, Green AR. Current issues with luminal subtype classification in terms of prediction of benefit from endocrine therapy in early breast cancer. Histopathology 2018; 73:545-558. [PMID: 29603357 DOI: 10.1111/his.13523] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Endocrine therapy for oestrogen receptor-positive (ER+) breast cancer (BC) is arguably the most successful targeted cancer therapy to date. Nevertheless, resistance to endocrine therapy still occurs in a significant proportion of patients, limiting its clinical utility. ER+ or luminal BC, which represents approximately three-quarters of all breast malignancies, are biologically heterogeneous, with no distinct, clinically defined subclasses able to predict the benefit of endocrine therapy in early settings. To improve patient outcomes there is a clear need for improved understanding of the biology of the luminal BC, with subsequent translation into more effective methods of diagnosis to identify potential predictive biomarkers for endocrine therapy. This review summarises current knowledge of factors predictive of benefit of endocrine therapy and discusses why molecular classification systems of BC have yet to be translated into the clinic.
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Affiliation(s)
- Lutfi Alfarsi
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, UK
| | - Simon Johnston
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, UK
| | - Dong-Xu Liu
- The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Emad Rakha
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, UK.,Cellular Pathology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Andrew R Green
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham City Hospital, Nottingham, UK
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Guo Q, Zhang L, Di Z, Ning C, Dong Z, Li Z, Wang D, Liu C, Zhao M, Tian J. Assessing Risk Category of Breast Cancer by Ultrasound Imaging Characteristics. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:815-824. [PMID: 29331358 DOI: 10.1016/j.ultrasmedbio.2017.12.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 11/03/2017] [Accepted: 12/03/2017] [Indexed: 06/07/2023]
Abstract
The purpose of our study was to assess the potential clinical value of ultrasound imaging in predicting risk category in patients with breast cancer. Three hundred thirty-six patients were enrolled and divided into a high-risk group (99, 29.5%) and mid- to low-risk group (237, 70.5%) according to the St. Gallen risk criteria. All data were retrospectively collected to analyze correlations between ultrasound features and risk category. The results revealed that the ultrasound features of irregular shape (p= 0.002), vertical growth orientation (p= 0.002), angular contour (p= 0.022) and high color Doppler flow imaging grade (p= 0.001) tended to be present in images of the high-risk group. Therefore, tumor ultrasound features should be recognized as an ideal option for determination of risk category in patients with breast cancer.
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Affiliation(s)
- Qiang Guo
- Department of Ultrasound Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai, China; Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Lei Zhang
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Zhixin Di
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Chunping Ning
- Department of Ultrasound, Hospital of Qingdao University, Medical College, Qingdao, China
| | - Zhiwu Dong
- Department of Laboratory Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Ziyao Li
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Dongmo Wang
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Chong Liu
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Ming Zhao
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China
| | - Jiawei Tian
- Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China.
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14
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Blok EJ, Bastiaannet E, van den Hout WB, Liefers GJ, Smit VTHBM, Kroep JR, van de Velde CJH. Systematic review of the clinical and economic value of gene expression profiles for invasive early breast cancer available in Europe. Cancer Treat Rev 2017; 62:74-90. [PMID: 29175678 DOI: 10.1016/j.ctrv.2017.10.012] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 10/29/2017] [Indexed: 01/12/2023]
Abstract
Gene expression profiles with prognostic capacities have shown good performance in multiple clinical trials. However, with multiple assays available and numerous types of validation studies performed, the added value for daily clinical practice is still unclear. In Europe, the MammaPrint, OncotypeDX, PAM50/Prosigna and Endopredict assays are commercially available. In this systematic review, we aim to assess these assays on four important criteria: Assay development and methodology, clinical validation, clinical utility and economic value. We performed a literature search covering PubMed, Embase, Web of Science and Cochrane, for studies related to one or more of the four selected assays. We identified 147 papers for inclusion in this review. MammaPrint and OncotypeDX both have evidence available, including level IA clinical trial results for both assays. Both assays provide prognostic information. Predictive value has only been shown for OncotypeDX. In the clinical utility studies, a higher reduction in chemotherapy was achieved by OncotypeDX, although the number of available studies differ considerably between tests. On average, economic evaluations estimate that genomic testing results in a moderate increase in total costs, but that these costs are acceptable in relation to the expected improved patient outcome. PAM50/prosigna and EndoPredict showed comparable prognostic capacities, but with less economical and clinical utility studies. Furthermore, for these assays no level IA trial data are available yet. In summary, all assays have shown excellent prognostic capacities. The differences in the quantity and quality of evidence are discussed. Future studies shall focus on the selection of appropriate subgroups for testing and long-term outcome of validation trials, in order to determine the place of these assays in daily clinical practice.
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Affiliation(s)
- E J Blok
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands; Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - E Bastiaannet
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands; Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - W B van den Hout
- Department of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands
| | - G J Liefers
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - V T H B M Smit
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - J R Kroep
- Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - C J H van de Velde
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
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15
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Ye F, Zhong X, Qiu Y, Yang L, Wei B, Zhang Z, Bu H. CD49f Can Act as a Biomarker for Local or Distant Recurrence in Breast Cancer. J Breast Cancer 2017; 20:142-149. [PMID: 28690650 PMCID: PMC5500397 DOI: 10.4048/jbc.2017.20.2.142] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Accepted: 12/05/2016] [Indexed: 02/05/2023] Open
Abstract
Purpose Metastasis and local recurrence are the primary causes of treatment failure and patient death in breast cancer. The aim of this study was to validate a metastasis- and local recurrenceassociated biomarker for prognostic evaluation and planning treatment strategies. Methods Formalin-fixed, paraffin-embedded tissues from a cohort of 312 patients (all stage II and III) were used. The prevalence of CD49f+ cells in the patients' tumors was analyzed and correlated with clinical characteristics to determine its prognostic and clinical implications. Results CD49f+ tumor cells were found in a minority of tumors, with 62.8% of the samples showing not a single cell of this subtype. In the clinical characteristics analysis, which were performed with t-tests, CD49f+ tumors were not associated with age, tumor size, World Health Organization grade, nodal status, human epidermal growth factor receptor 2 status, progesterone receptor status, or estrogen receptor status, although they were significantly associated with disease recurrence (distant metastasis or/and local recurrence). Univariate survival analysis using the Kaplan-Meier method showed that CD49f+ tumors were associated with markedly decreased disease-free survival (DFS); the same result was found using multivariate Cox analysis, even when only chemotherapy-treated patients were analyzed. Conclusion Our results indicated that breast tumors with CD49f+ cancer cells are associated with an increased risk for disease recurrence after initial surgery with poor clinical outcomes (decreased DFS). Therefore, as it requires testing for only one additional protein, adding CD49f testing to conventional surgical pathology is a strategy that has great potential for prognostic and treatment-guidance purposes.
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Affiliation(s)
- Feng Ye
- Laboratory of Pathology, State Key Laboratory of Biotherapy, National Collaborative Innovation Center for Biotherapy, Chengdu, China
| | - Xiaorong Zhong
- Cancer Center, State Key Laboratory of Biotherapy, National Collaborative Innovation Center for Biotherapy, Chengdu, China.,Laboratory of Molecular Diagnosis of Cancer, State Key Laboratory of Biotherapy, National Collaborative Innovation Center for Biotherapy, Chengdu, China
| | - Yan Qiu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Libo Yang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Bing Wei
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Zhang Zhang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Bu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
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16
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Abstract
Breast cancer is a heterogeneous disease, with different subtypes having a distinct biological, molecular, and clinical course. Assessments of standard clinical and pathological features have traditionally been used to determine the use of adjuvant systemic therapy in patients with early stage breast cancer; however, the ability to identify those who will benefit from adjuvant chemotherapy remains a challenge, leading to the overtreatment of some patients. Advances in molecular medicine have substantially improved the accuracy of gene-expression profiling of breast tumours, resulting in improvements in the ability to predict a patient's risk of breast cancer recurrence and likely response to endocrine therapy and/or chemotherapy. These genomic assays, several of which are commercially available, have aided physicians in tailoring treatment decisions for patients at the individual level. Herein, we describe the available data on the clinical validity of the most widely available assays in patients with early stage breast cancer, with a focus on the development, validation, and clinical application of these assays, in addition to the anticipated outcomes of ongoing prospective trials. We also review data from comparative studies of these assays and from cost-effectiveness analyses relating to their clinical use.
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17
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Clinical use of biomarkers in breast cancer: Updated guidelines from the European Group on Tumor Markers (EGTM). Eur J Cancer 2017; 75:284-298. [DOI: 10.1016/j.ejca.2017.01.017] [Citation(s) in RCA: 292] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 10/12/2016] [Accepted: 01/13/2017] [Indexed: 12/27/2022]
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18
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Jensen K, Krusenstjerna-Hafstrøm R, Lohse J, Petersen KH, Derand H. A novel quantitative immunohistochemistry method for precise protein measurements directly in formalin-fixed, paraffin-embedded specimens: analytical performance measuring HER2. Mod Pathol 2017; 30:180-193. [PMID: 27767098 DOI: 10.1038/modpathol.2016.176] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 08/18/2016] [Accepted: 08/23/2016] [Indexed: 12/16/2022]
Abstract
In clinical routine pathology today, detection of protein in intact formalin-fixed, paraffin-embedded tissue is limited to immunohistochemistry, which is semi-quantitative. This study presents a new and reliable quantitative immunohistochemistry method, qIHC, based on a novel amplification system that enables quantification of protein directly in formalin-fixed, paraffin-embedded tissue by counting of dots. The qIHC technology can be combined with standard immunohistochemistry, and assessed using standard bright-field microscopy or image analysis. The objective was to study analytical performance of the qIHC method. qIHC was tested under requirements for an analytical quantitative test, and compared with ELISA and flow cytometry for quantitative protein measurements. Human epidermal growth factor receptor 2 (HER2) protein expression was measured in five different cell lines with HER2 expression from undetectable with immunohistochemistry to strong positive staining (IHC 3+). Repeatability, reproducibility, robustness, linearity, dynamic range, sensitivity, and quantification limits were evaluated. Reproducibility and robustness were assessed in a setup to resemble daily work in a laboratory using a commercial immunohistochemistry platform. In addition, qIHC was correlated to standard HER2 immunohistochemistry in 44 breast cancer specimens. For all evaluated parameters, qIHC performance was either comparable or better than the reference methods. Furthermore, qIHC has a lower limit of detection than both immunohistochemistry and the ELISA reference method, and demonstrated ability to measure HER2 accurately and precise within a large dynamic range. In conclusion, the results show that qIHC provides a sensitive, quantitative, accurate, and robust assay for measurement of protein expression in formalin-fixed, paraffin-embedded cell lines, and tissue.
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Affiliation(s)
- Kristian Jensen
- Dako Denmark A/S, an Agilent Technologies Company, Produktionsvej 42, Glostrup, Denmark
| | | | - Jesper Lohse
- Dako Denmark A/S, an Agilent Technologies Company, Produktionsvej 42, Glostrup, Denmark
| | - Kenneth H Petersen
- Dako Denmark A/S, an Agilent Technologies Company, Produktionsvej 42, Glostrup, Denmark
| | - Helene Derand
- Dako Denmark A/S, an Agilent Technologies Company, Produktionsvej 42, Glostrup, Denmark
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19
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Braunstein LZ, Taghian AG. Molecular Phenotype, Multigene Assays, and the Locoregional Management of Breast Cancer. Semin Radiat Oncol 2016; 26:9-16. [PMID: 26617205 DOI: 10.1016/j.semradonc.2015.08.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Molecular profiling has revealed that breast cancer is not a single disease entity, but rather a class of heterogeneous subtypes, each with its own inherent biology and natural history. As a result, different treatment approaches have been optimized for the various subtypes and, in turn, the ability to identify subtypes has become a critical element in the management of breast cancer. Comprehensive transcriptional profiling studies have revealed at least 4 principal subtypes that, in practice, are often distinguished by immunohistochemical staining of the estrogen receptor (ER), progesterone receptor (PR), and HER2, along with a determination of histologic grade or Ki-67 staining: luminal A (ER+/HER2-/grade 1 or 2), luminal B (ER+/HER2-/grade 3), HER2 enriched (any HER2+ tumor), and basal like (ER-/PR-/HER2-). Although these immunohistochemically derived subtypes show robust prognostic and predictive ability, there remain many cases that demand profiling that more closely approximates the original transcriptionally derived definitions of the intrinsic subtypes. The need for improved prognostication and risk stratification has led to the development of several multigene assays in breast cancer. Although there is little molecular overlap between current assays, they all rely heavily on quantifying the transcriptional output of ER signaling and proliferation-related genes. These data are typically then used in multivariate prediction models that incorporate other canonical risk factors such as the tumor size, lymph node involvement, and patient demographic parameters, among others. Indeed, the advent of scalable molecular profiling technologies has brought a number of assays into routine clinical use for optimizing risk prediction and treatment assignment. The landscape of these assays and the clinical utility of contemporary molecular profiles are the main focus of this overview. In addition to the clinical advances in transcriptional subtyping, recent reports have characterized the most common genomic and epigenomic alterations that are likely to drive certain breast cancers. The identification of these "driver" lesions has heralded an era of precision medicine in which vulnerable oncogenic pathways may be targeted to disrupt the etiologic lesion(s) of a specific tumor. A number of such early targeted approaches have yielded success in treating breast cancer, demonstrating the critical need for molecular diagnostics in this disease.
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Affiliation(s)
| | - Alphonse G Taghian
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA.
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20
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Cockburn JG, Hallett RM, Gillgrass AE, Dias KN, Whelan T, Levine MN, Hassell JA, Bane A. The effects of lymph node status on predicting outcome in ER+ /HER2- tamoxifen treated breast cancer patients using gene signatures. BMC Cancer 2016; 16:555. [PMID: 27469239 PMCID: PMC4964078 DOI: 10.1186/s12885-016-2501-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2014] [Accepted: 07/04/2016] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Lymph node (LN) status is the most important prognostic variable used to guide ER positive (+) breast cancer treatment. While a positive nodal status is traditionally associated with a poor prognosis, a subset of these patients respond well to treatment and achieve long-term survival. Several gene signatures have been established as a means of predicting outcome of breast cancer patients, but the development and indication for use of these assays varies. Here we compare the capacity of two approved gene signatures and a third novel signature to predict outcome in distinct LN negative (-) and LN+ populations. We also examine biological differences between tumours associated with LN- and LN+ disease. METHODS Gene expression data from publically available data sets was used to compare the ability of Oncotype DX and Prosigna to predict Distant Metastasis Free Survival (DMFS) using an in silico platform. A novel gene signature (Ellen) was developed by including patients with both LN- and LN+ disease and using Prediction Analysis of Microarrays (PAM) software. Gene Set Enrichment Analysis (GSEA) was used to determine biological pathways associated with patient outcome in both LN- and LN+ tumors. RESULTS The Oncotype DX gene signature, which only used LN- patients during development, significantly predicted outcome in LN- patients, but not LN+ patients. The Prosigna gene signature, which included both LN- and LN+ patients during development, predicted outcome in both LN- and LN+ patient groups. Ellen was also able to predict outcome in both LN- and LN+ patient groups. GSEA suggested that epigenetic modification may be related to poor outcome in LN- disease, whereas immune response may be related to good outcome in LN+ disease. CONCLUSIONS We demonstrate the importance of incorporating lymph node status during the development of prognostic gene signatures. Ellen may be a useful tool to predict outcome of patients regardless of lymph node status, or for those with unknown lymph node status. Finally we present candidate biological processes, unique to LN- and LN+ disease, that may indicate risk of relapse.
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Affiliation(s)
- Jessica G. Cockburn
- Department of Oncology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
| | - Robin M. Hallett
- Department of Biochemistry and Biomedical Sciences, Centre for Functional Genomics, McMaster University, Hamilton, Canada
| | - Amy E. Gillgrass
- Department of Oncology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
| | - Kay N. Dias
- Department of Oncology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
| | - T. Whelan
- Department of Oncology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
| | - M. N. Levine
- Department of Oncology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
| | - John A. Hassell
- Department of Biochemistry and Biomedical Sciences, Centre for Functional Genomics, McMaster University, Hamilton, Canada
| | - Anita Bane
- Department of Oncology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
- Department of Pathology, Juravinski Hospital and Cancer Centre, Hamilton, Canada
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21
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Pohl H, Kotze MJ, Grant KA, van der Merwe L, Pienaar FM, Apffelstaedt JP, Myburgh EJ. Impact of MammaPrint on Clinical Decision-Making in South African Patients with Early-Stage Breast Cancer. Breast J 2016; 22:442-6. [DOI: 10.1111/tbj.12605] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Heinrich Pohl
- Department of Surgery; University of Stellenbosch; Tygerberg South Africa
| | - Maritha J. Kotze
- Division of Anatomical Pathology; Department of Pathology; Faculty of Medicine and Health Sciences; University of Stellenbosch; Tygerberg South Africa
| | - Kathleen A. Grant
- Division of Anatomical Pathology; Department of Pathology; Faculty of Medicine and Health Sciences; University of Stellenbosch; Tygerberg South Africa
- Department of Biomedical Sciences; Faculty of Health and Wellness; Cape Peninsula University of Technology; Bellville South Africa
| | - Lize van der Merwe
- Division of Molecular Biology and Human Genetics; Faculty of Medicine and Health Sciences; University of Stellenbosch; Tygerberg South Africa
- Department of Statistics; University of the Western Cape; Bellville South Africa
| | | | | | - Ettienne J. Myburgh
- Department of Surgery; University of Stellenbosch; Tygerberg South Africa
- Private Practice; Mediclinic Panorama; Cape Town South Africa
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22
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Schmidt M, Thomssen C, Untch M. Intrinsic Subtypes of Primary Breast Cancer - Gene Expression Analysis. Oncol Res Treat 2016; 39:102-10. [DOI: 10.1159/000444409] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 02/03/2016] [Indexed: 11/19/2022]
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Issa AM, Chaudhari VS, Marchant GE. The value of multigene predictors of clinical outcome in breast cancer: an analysis of the evidence. Expert Rev Mol Diagn 2015; 15:277-86. [PMID: 25479414 PMCID: PMC4712951 DOI: 10.1586/14737159.2015.983476] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Multigene predictors are being used increasingly in early-stage breast cancer patients for prediction and prognosis. However, one consequence of the increased use of multigene predictors, and the heightened efforts toward their incorporation into routine clinical practice, is the potential for future malpractice litigation. It is, therefore, important to ascertain the strength of the evidence for using the different commercially available multigene predictor assays clinically. We evaluated the literature for evidence of clinical validity of four currently available gene signatures and to assess the influence of the 21-gene-expression assay on changes in treatment recommendations. METHODS A systematic search of the peer-reviewed literature from January 2002 to March 2014 for multigene predictor assays was carried out, and a meta-analysis was conducted. RESULTS The adjusted Cox hazard ratio average for studies that met the eligibility criteria was 3.538 (95% CI: 1.513-8.469). The 21-gene signature showed the highest stability in the estimation of likelihood of distant risk of recurrence. Using the recurrence scores resulted in changes in treatment recommendations in 31.8% of all patients in the studies. CONCLUSION This study may provide insight about the use of multigene predictors in clinical practice for prediction and prognosis of breast cancer.
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Affiliation(s)
- Amalia M Issa
- Program in Personalized Medicine and Targeted Therapeutics, University of the Sciences, 600 South 43rd Street, Philadelphia, PA 19104, USA
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24
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Abstract
Tests to better characterize tumor genomic architecture are quickly becoming a standard of care in oncology. For breast cancer, the use of gene expression assays for early stage disease is already common practice. These tests have found a place in risk stratifying the heterogeneous group of stage I-II breast cancers for recurrence, for predicting chemotherapy response, and for predicting breast cancer-related mortality. In the last 5 years, more assays have become available to the practicing oncologist. Given the rapidity with which this field has evolved, it is prudent to review the tests, their indications, and the studies from which they have been validated. We present a comprehensive review of the available gene expression assays for early stage breast cancer. We review data for several individual tests and comparative studies looking at risk prediction and cost-effectiveness.
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Affiliation(s)
- Christina Adaniel
- Division of Hematology/Oncology, Laura and Isaac Perlmutter Cancer Center, and Genome Technology Center, New York University Langone Medical Center, New York, New York, USA
| | - Komal Jhaveri
- Division of Hematology/Oncology, Laura and Isaac Perlmutter Cancer Center, and Genome Technology Center, New York University Langone Medical Center, New York, New York, USA
| | - Adriana Heguy
- Division of Hematology/Oncology, Laura and Isaac Perlmutter Cancer Center, and Genome Technology Center, New York University Langone Medical Center, New York, New York, USA
| | - Francisco J Esteva
- Division of Hematology/Oncology, Laura and Isaac Perlmutter Cancer Center, and Genome Technology Center, New York University Langone Medical Center, New York, New York, USA
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25
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Sabatier R, Gonçalves A, Bertucci F. Personalized medicine: Present and future of breast cancer management. Crit Rev Oncol Hematol 2014; 91:223-33. [DOI: 10.1016/j.critrevonc.2014.03.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2013] [Revised: 02/13/2014] [Accepted: 03/19/2014] [Indexed: 12/13/2022] Open
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27
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Guiu S, Wolfer A, Jacot W, Fumoleau P, Romieu G, Bonnetain F, Fiche M. Invasive lobular breast cancer and its variants: how special are they for systemic therapy decisions? Crit Rev Oncol Hematol 2014; 92:235-57. [PMID: 25129506 DOI: 10.1016/j.critrevonc.2014.07.003] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Revised: 06/01/2014] [Accepted: 07/21/2014] [Indexed: 12/16/2022] Open
Abstract
The WHO classification of breast tumors distinguishes, besides invasive breast cancer 'of no special type' (former invasive ductal carcinoma, representing 60-70% of all breast cancers), 30 special types, of which invasive lobular carcinoma (ILC) is the most common (5-15%). We review the literature on (i) the specificity and heterogeneity of ILC biology as documented by various analytical techniques, including the results of molecular testing for risk of recurrence; (ii) the impact of lobular histology on prediction of prognosis and effect of systemic therapies in patients. Though it is generally admitted that ILC has a better prognosis than IDC, is endocrine responsive, and responds poorly to chemotherapy, currently available data do not unanimously support these assumptions. This review demonstrates some lack of specific data and a need for improving clinical research design to allow oncologists to make informed systemic therapy decisions in patients with ILC. Importantly, future studies should compare various endpoints in ILC breast cancer patients among the group of hormonosensitive breast cancer.
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Affiliation(s)
- Séverine Guiu
- Department of Medical Oncology, Georges-François Leclerc Cancer Center, 1 rue du Professeur Marion, 21000 Dijon, France; Department of Medical Oncology, CHUV, rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Anita Wolfer
- Department of Medical Oncology, CHUV, rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - William Jacot
- Department of Medical Oncology, Institute of Cancerology of Montpellier, 208 Avenue des Apothicaires-Parc Euromédecine, 34298 Montpellier Cedex 5, France
| | - Pierre Fumoleau
- Department of Medical Oncology, Georges-François Leclerc Cancer Center, 1 rue du Professeur Marion, 21000 Dijon, France
| | - Gilles Romieu
- Department of Medical Oncology, Institute of Cancerology of Montpellier, 208 Avenue des Apothicaires-Parc Euromédecine, 34298 Montpellier Cedex 5, France
| | - Franck Bonnetain
- Oncology Unit of Methodology and Quality of Life (EA 3181), CHU Besançon, 2 place Saint-Jacques, 25000 Besançon, France
| | - Maryse Fiche
- University Institute of Pathology, CHUV, rue du Bugnon 25, 1011 Lausanne, Switzerland
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Impact of Oncotype DX Recurrence Score in the Management of Breast Cancer Cases. Clin Breast Cancer 2014; 14:182-90. [DOI: 10.1016/j.clbc.2013.12.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Revised: 12/13/2013] [Accepted: 12/23/2013] [Indexed: 11/22/2022]
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Krenn-Pilko S, Langsenlehner U, Thurner EM, Stojakovic T, Pichler M, Gerger A, Kapp KS, Langsenlehner T. The elevated preoperative platelet-to-lymphocyte ratio predicts poor prognosis in breast cancer patients. Br J Cancer 2014; 110:2524-30. [PMID: 24675383 PMCID: PMC4021515 DOI: 10.1038/bjc.2014.163] [Citation(s) in RCA: 207] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 02/01/2014] [Accepted: 03/04/2014] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The elevation of the platelet-to-lymphocyte ratio (PLR), an easily applicable blood test based on platelet and lymphocyte counts has been associated with poor prognosis in patients with different types of cancer. The present study was aimed to investigate the prognostic significance of the preoperative PLR in a large cohort of breast cancer patients. METHODS Data from 793 consecutive non-metastatic breast cancer patients, treated between 1999 and 2004, were evaluated retrospectively. The optimal cutoff values for the PLR were calculated using receiver operating curve analysis. Cancer-specific survival (CSS), overall survival (OS) as well as distant metastasis-free survival (DMFS) were assessed using the Kaplan-Meier method. To evaluate the independent prognostic significance of PLR, multivariable Cox regression models were applied for all three different end points. RESULTS Univariable analysis revealed a significant association between the elevated preoperative PLR and CSS (hazard ratio (HR): 2.75, 95% confidence interval (CI): 1.57-4.83, P<0.001) that remained statistically significant in multivariable analysis (HR: 2.03, 95% CI: 1.03-4.02, P=0.042). An increased PLR was also significantly associated with decreased OS in univariable (HR: 2.45, 95% CI: 1.43-4.20, P=0.001) and in multivariable analysis (HR: 1.92, 95% CI: 1.01-3.67, P=0.047). Furthermore, univariable analysis showed a significant impact of increased PLR on DMFS (HR: 2.02, 95% CI: 1.18-3.44, P=0.010). Subgroup analysis revealed significant associations of the elevated PLR on the primary end point CSS for all breast cancer subtypes. This association retained its significance in multivariable analysis in patients with luminal B tumours (HR: 2.538, 95% CI: 1.043-6.177, P=0.040). CONCLUSIONS In this study, we identified the preoperative PLR as an independent prognostic marker for survival in breast cancer patients. Independent validation of our findings is needed.
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Affiliation(s)
- S Krenn-Pilko
- Department of Therapeutic Radiology and Oncology, Medical University of Graz, Auenbruggerplatz 32, 8036 Graz, Austria
| | - U Langsenlehner
- Division of Internal Medicine, Outpatient Department Graz, Graz, Austria
| | - E-M Thurner
- Department of Therapeutic Radiology and Oncology, Medical University of Graz, Auenbruggerplatz 32, 8036 Graz, Austria
| | - T Stojakovic
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - M Pichler
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Gerger
- Division of Clinical Oncology, Department of Medicine, Medical University of Graz, Graz, Austria
| | - K S Kapp
- Department of Therapeutic Radiology and Oncology, Medical University of Graz, Auenbruggerplatz 32, 8036 Graz, Austria
| | - T Langsenlehner
- Department of Therapeutic Radiology and Oncology, Medical University of Graz, Auenbruggerplatz 32, 8036 Graz, Austria
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MammaPrint Molecular Diagnostics on Formalin-Fixed, Paraffin-Embedded Tissue. J Mol Diagn 2014; 16:190-7. [DOI: 10.1016/j.jmoldx.2013.10.008] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2013] [Revised: 09/23/2013] [Accepted: 10/17/2013] [Indexed: 01/17/2023] Open
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Delahaye LJ, Wehkamp D, Floore AN, Bernards R, Van't Veer LJ, Glas AM. Performance characteristics of the MammaPrint ® breast cancer diagnostic gene signature. Per Med 2013; 10:801-811. [PMID: 29776281 DOI: 10.2217/pme.13.88] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND The analytical performance of multigene signatures depends on many parameters, including precision, repeatability, reproducibility and intratumor heterogeneity. Indicators such as sensitivity, specificity, positive predictive value and negative predictive value are typically used to define the clinical performance of a diagnostic test. AIM Here we study these performance characteristics of the MammaPrint® (Agendia NV, Amsterdam, The Netherlands) 70-gene signature using the US FDA-recommended guidelines, as well as predetermined acceptance criteria. RESULTS The clinical and analytical performance characteristics show that MammaPrint is a robust, reproducible, precise test, with a maximum variation of 5% in multiple samplings of the same tissue. CONCLUSION MammaPrint is a reliable indicator of distant metastasis in early-stage breast cancer patients of all ages and is well suited for personalized medical care.
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Affiliation(s)
- Leonie Jm Delahaye
- Department of Product Development & Support, Agendia NV, Science Park 406, 1098 XH Amsterdam, The Netherlands
| | - Diederik Wehkamp
- Department of Product Development & Support, Agendia NV, Science Park 406, 1098 XH Amsterdam, The Netherlands
| | - Arno N Floore
- Department of Product Development & Support, Agendia NV, Science Park 406, 1098 XH Amsterdam, The Netherlands
| | - Rene Bernards
- Department of Product Development & Support, Agendia NV, Science Park 406, 1098 XH Amsterdam, The Netherlands
| | - Laura J Van't Veer
- Department of Product Development & Support, Agendia NV, Science Park 406, 1098 XH Amsterdam, The Netherlands
| | - Annuska M Glas
- Department of Product Development & Support, Agendia NV, Science Park 406, 1098 XH Amsterdam, The Netherlands.
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Niedoszytko M, Gruchała-Niedoszytko M, Jassem E. Gene expression analysis in allergology: the prediction of Hymenoptera venom allergy severity and treatment efficacy. Clin Transl Allergy 2013; 3:35. [PMID: 24160178 PMCID: PMC3815075 DOI: 10.1186/2045-7022-3-35] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 10/25/2013] [Indexed: 01/25/2023] Open
Abstract
Insect venom allergy (IVA) may result in the most severe systemic reactions seen in allergology. The only potentially curative treatment option is venom immunotherapy (VIT) over 3 to 5 years. This treatment is effective in more than 90% of subjects but no reliable predictors of VIT effectiveness exist. Sting challenge with a living insect can be performed to assess the effectiveness of VIT: the predictive value of sting challenge can be highly sensitive in patients with honeybee venom allergy whereas in yellow jacket allergy, a negative result can be reliable if the challenge has been repeated at least 3 times. The analysis of gene expression may be a step towards personalized venom immunotherapy assessing the effectiveness of treatment, the minimal required time for VIT and the persistence of long term tolerance induced by the treatment. Recent studies have enabled construction of a predictive model that could potentially be used in clinical practice to assess the efficacy of insect venom immunotherapy. A set of 69 genes that may be responsible for long-term protection was identified. Further analysis of the previously identified 6 transcripts make up the 18 gene predictive peripheral blood showed differences in patients treated with IVA. Further studies are needed to investigate the usefulness of gene expression analysis and other markers in the prediction of VIT effectiveness.
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Affiliation(s)
- Marek Niedoszytko
- Department of Allergology, Medical University of Gdansk, Debinki 7, 80-210, Gdansk, Poland.
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Zhang MH, Man HT, Zhao XD, Dong N, Ma SL. Estrogen receptor-positive breast cancer molecular signatures and therapeutic potentials (Review). Biomed Rep 2013; 2:41-52. [PMID: 24649067 DOI: 10.3892/br.2013.187] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Accepted: 08/23/2013] [Indexed: 12/31/2022] Open
Abstract
In this review, the advances in the study of breast cancer molecular classifications and the molecular signatures of the luminal subtypes A and B of breast cancer were summarized. Effective clinical outcomes depend mainly on successful preclinical diagnosis and therapeutic decisions. Over the last few years, the ever-expanding investigations focusing on breast cancer diagnosis and the clinical trials have provided accumulating information on the molecular characteristics of breast cancer. Specifically, among the estrogen receptor (ER)-positive types of breast cancer, the luminal subtype A breast cancer has been shown to exhibit good clinical outcomes with endocrine therapy, whereas the luminal subtype B breast cancer represents the more complicated type, diagnostically as well as therapeutically. Furthermore, even in luminal subtype A breast cancer, the resistance to treatment has become the major limitation for endocrine-based therapy. Accumulating molecular data and further clinical trials may enable more accurate diagnostic and therapeutic decisions. The molecular signatures have emerged as a powerful tool for future diagnosis and therapeutic decisions, although currently available data are limited.
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Affiliation(s)
- Mei Hong Zhang
- College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China
| | - Hong Tao Man
- College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China
| | - Xiao Dan Zhao
- College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China
| | - Ni Dong
- College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China
| | - Shi Liang Ma
- College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China
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Clinical advances in molecular biomarkers for cancer diagnosis and therapy. Int J Mol Sci 2013; 14:14771-84. [PMID: 23863689 PMCID: PMC3742272 DOI: 10.3390/ijms140714771] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2013] [Revised: 06/28/2013] [Accepted: 07/03/2013] [Indexed: 12/20/2022] Open
Abstract
Cancer diagnosis is currently undergoing a paradigm shift with the incorporation of molecular biomarkers as part of routine diagnostic panel. The molecular alteration ranges from those involving the DNA, RNA, microRNAs (miRNAs) and proteins. The miRNAs are recently discovered small non-coding endogenous single-stranded RNAs that critically regulates the development, invasion and metastasis of cancers. They are altered in cancers and have the potential to serve as diagnostic markers for cancer. Moreover, deregulating their activity offers novel cancer therapeutic approaches. The availability of high throughput techniques for the identification of altered cellular molecules allowed their use in cancer diagnosis. Their application to a variety of body specimens from blood to tissues has been helpful for appreciating their use in the clinical context. The development of innovative antibodies for immunohistochemical detection of proteins also assists in diagnosis and risk stratification. Overall, the novel cancer diagnostic tools have extended their application as prognostic risk factors and can be used as targets for personalized medicine.
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