1
|
Kashyap A, Kumari M, Singh A, Mukherjee K, Maity D. Current development of theragnostic nanoparticles for women's cancer treatment. Biomed Mater 2024; 19:042001. [PMID: 38471150 DOI: 10.1088/1748-605x/ad3311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/12/2024] [Indexed: 03/14/2024]
Abstract
In the biomedical industry, nanoparticles (NPs-exclusively small particles with size ranging from 1-100 nanometres) are recently employed as powerful tools due to their huge potential in sophisticated and enhanced cancer theragnostic (i.e. therapeutics and diagnostics). Cancer is a life-threatening disease caused by carcinogenic agents and mutation in cells, leading to uncontrolled cell growth and harming the body's normal functioning while affecting several factors like low levels of reactive oxygen species, hyperactive antiapoptotic mRNA expression, reduced proapoptotic mRNA expression, damaged DNA repair, and so on. NPs are extensively used in early cancer diagnosis and are functionalized to target receptors overexpressing cancer cells for effective cancer treatment. This review focuses explicitly on how NPs alone and combined with imaging techniques and advanced treatment techniques have been researched against 'women's cancer' such as breast, ovarian, and cervical cancer which are substantially occurring in women. NPs, in combination with numerous imaging techniques (like PET, SPECT, MRI, etc) have been widely explored for cancer imaging and understanding tumor characteristics. Moreover, NPs in combination with various advanced cancer therapeutics (like magnetic hyperthermia, pH responsiveness, photothermal therapy, etc), have been stated to be more targeted and effective therapeutic strategies with negligible side effects. Furthermore, this review will further help to improve treatment outcomes and patient quality of life based on the theragnostic application-based studies of NPs in women's cancer treatment.
Collapse
Affiliation(s)
- Ananya Kashyap
- Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India
| | - Madhubala Kumari
- Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India
| | - Arnika Singh
- Department of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab 144411, India
| | - Koel Mukherjee
- Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India
| | - Dipak Maity
- Integrated Nanosystems Development Institute, Indiana University Indianapolis, IN 46202, United States of America
- Department of Chemistry and Chemical Biology, Indiana University Indianapolis, IN 46202, United States of America
| |
Collapse
|
2
|
Shafiq N, Shakoor B, Yaqoob N, Parveen S, Brogi S, Mohammad Salamatullah A, Rashid M, Bourhia M. A virtual insight into mushroom secondary metabolites: 3D-QSAR, docking, pharmacophore-based analysis and molecular modeling to analyze their anti-breast cancer potential. J Biomol Struct Dyn 2024:1-22. [PMID: 38299565 DOI: 10.1080/07391102.2024.2304137] [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: 08/04/2023] [Accepted: 01/03/2024] [Indexed: 02/02/2024]
Abstract
Breast cancer is a major issue of investigation in drug discovery due to its rising frequency and global dominance. Plants are significant natural sources for the development of novel medications and therapies. Medicinal mushrooms have many biological response modifiers and are used for the treatment of many physical illnesses. In this research, a database of 89 macro-molecules with anti-breast cancer activity, which were previously isolated from the mushrooms in literature, has been selected for the three-dimensional quantitative structure-activity relationships (3D-QSAR) studies. The 3D-QSAR model was necessarily used in Pharmacopoeia virtual evaluation of the database to develop novel MCF-7 inhibitors. With the known potential targets of breast cancer, the docking studies were achieved. Using molecular dynamics simulations, the targets' stability with the best-chosen natural product molecule was found. Furthermore, the absorption, distribution, metabolism, excretion, and toxicity of three compounds, resulting after the docking study, were predicted. The compound C1 (Pseudonocardian A) showed the features of effective compounds because it has bioavailability from different coral species and is toxicity-free for the prevention of many dermatological illnesses. C1 is chemically active and possesses charge transfer inside the monomer, as seen by the band gaps of highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) electrons. The reactivity descriptors ionization potential, electron affinity, chemical potential (μ), hardness (η), softness (S), electronegativity (χ), and electrophilicity index (ω) have been estimated using the energies of frontier molecular orbitals (HOMO-LUMO). Additionally, molecular electrostatic potential maps were created to show that the C1 is reactive.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Nusrat Shafiq
- Synthetic and Natural Products Drug Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, Pakistan
| | - Bushra Shakoor
- Synthetic and Natural Products Drug Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, Pakistan
| | - Nazia Yaqoob
- Green Chemistry Lab, Department of Chemistry, Government College Women University, Faisalabad, Pakistan
| | - Shagufta Parveen
- Synthetic and Natural Products Drug Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, Pakistan
| | - Simone Brogi
- Department of Pharmacy, Pisa University, Pisa, Italy
| | - Ahmad Mohammad Salamatullah
- Department of Food Science & Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Maryam Rashid
- Synthetic and Natural Products Drug Discovery Lab, Department of Chemistry, Government College Women University, Faisalabad, Pakistan
| | - Mohammed Bourhia
- Department of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, Laayoune, Morocco
- Laboratory of Chemistry-Biochemistry, Environment, Nutrition, and Health, Faculty of Medicine and Pharmacy, University Hassan II, Casablanca, Morocco
| |
Collapse
|
3
|
Grossi I, Marchina E, De Petro G, Salvi A. The Biological Role and Translational Implications of the Long Non-Coding RNA GAS5 in Breast Cancer. Cancers (Basel) 2023; 15:3318. [PMID: 37444428 DOI: 10.3390/cancers15133318] [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: 05/30/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
The lncRNA GAS5 plays a significant role in tumorigenicity and progression of breast cancer (BC). In this review, we first summarize the role of GAS5 in cell biology, focusing on its expression data in human normal tissues. We present data on GAS5 expression in human BC tissues, highlighting its downregulation in all major BC classes. The main findings regarding the molecular mechanisms underlying GAS5 dysregulation are discussed, including DNA hypermethylation of the CpG island located in the promoter region of the gene. We focused on the action of GAS5 as a miRNA sponge, which is able to sequester microRNAs and modulate the expression levels of their mRNA targets, particularly those involved in cell invasion, apoptosis, and drug response. In the second part, we highlight the translational implications of GAS5 in BC. We discuss the current knowledge on the role of GAS5 as candidate prognostic factor, a responsive molecular therapeutic target, and a circulating biomarker in liquid biopsies with clinical importance in BC. The findings position GAS5 as a promising druggable biomolecule and stimulate the development of strategies to restore its expression levels for novel therapeutic approaches that could benefit BC patients in the future.
Collapse
Affiliation(s)
- Ilaria Grossi
- Division of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Eleonora Marchina
- Division of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Giuseppina De Petro
- Division of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Alessandro Salvi
- Division of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| |
Collapse
|
4
|
Thu MS, Chotirosniramit K, Nopsopon T, Hirankarn N, Pongpirul K. Human gut, breast, and oral microbiome in breast cancer: A systematic review and meta-analysis. Front Oncol 2023; 13:1144021. [PMID: 37007104 PMCID: PMC10063924 DOI: 10.3389/fonc.2023.1144021] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/02/2023] [Indexed: 03/19/2023] Open
Abstract
IntroductionDysbiosis characterises breast cancer through direct or indirect interference in a variety of biological pathways; therefore, specific microbial patterns and diversity may be a biomarker for the diagnosis and prognosis of breast cancer. However, there is still much to determine about the complex interplay of the gut microbiome and breast cancer.ObjectiveThis study aims to evaluate microbial alteration in breast cancer patients compared with control subjects, to explore intestine microbial modification from a range of different breast cancer treatments, and to identify the impact of microbiome patterns on the same treatment-receiving breast cancer patients.MethodsA literature search was conducted using electronic databases such as PubMed, Embase, and the CENTRAL databases up to April 2021. The search was limited to adult women with breast cancer and the English language. The results were synthesised qualitatively and quantitatively using random-effects meta-analysis.ResultsA total of 33 articles from 32 studies were included in the review, representing 19 case-control, eight cohorts, and five nonrandomised intervention researches. The gut and breast bacterial species were elevated in the cases of breast tumours, a significant increase in Methylobacterium radiotolerans (p = 0.015), in compared with healthy breast tissue. Meta-analysis of different α-diversity indexes such as Shannon index (p = 0.0005), observed species (p = 0.006), and faint’s phylogenetic diversity (p < 0.00001) revealed the low intestinal microbial diversity in patients with breast cancer. The microbiota abundance pattern was identified in different sample types, detection methods, menopausal status, nationality, obesity, sleep quality, and several interventions using qualitative analysis.ConclusionsThis systematic review elucidates the complex network of the microbiome, breast cancer, and therapeutic options, with the objective of providing a link for stronger research studies and towards personalised medicine to improve their quality of life.
Collapse
Affiliation(s)
- May Soe Thu
- Joint Chulalongkorn University - University of Liverpool Ph.D. Programme in Biomedical Sciences and Biotechnology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Infection Biology and Microbiomes, Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
| | - Korn Chotirosniramit
- School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Tanawin Nopsopon
- School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Brigham and Women’s Hospital, Harvard Medical School, Harvard University, Boston, MA, United States
| | - Nattiya Hirankarn
- Center of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Krit Pongpirul
- Department of Infection Biology and Microbiomes, Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
- School of Global Health, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Clinical Research Center, Bumrungrad International Hospital, Bangkok, Thailand
- *Correspondence: Krit Pongpirul,
| |
Collapse
|
5
|
Tshiaba PT, Ratman DK, Sun JM, Tunstall TS, Levy B, Shah PS, Weitzel JN, Rabinowitz M, Kumar A, Im KM. Integration of a Cross-Ancestry Polygenic Model With Clinical Risk Factors Improves Breast Cancer Risk Stratification. JCO Precis Oncol 2023; 7:e2200447. [PMID: 36809055 DOI: 10.1200/po.22.00447] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Abstract
PURPOSE To develop and validate a cross-ancestry integrated risk score (caIRS) that combines a cross-ancestry polygenic risk score (caPRS) with a clinical estimator for breast cancer (BC) risk. We hypothesized that the caIRS is a better predictor of BC risk than clinical risk factors across diverse ancestry groups. METHODS We used diverse retrospective cohort data with longitudinal follow-up to develop a caPRS and integrate it with the Tyrer-Cuzick (T-C) clinical model. We tested the association between the caIRS and BC risk in two validation cohorts including > 130,000 women. We compared model discrimination for 5-year and remaining lifetime BC risk between the caIRS and T-C and assessed how the caIRS would affect screening in the clinic. RESULTS The caIRS outperformed T-C alone for all populations tested in both validation cohorts and contributed significantly to risk prediction beyond T-C. The area under the receiver operating characteristic curve improved from 0.57 to 0.65, and the odds ratio per standard deviation increased from 1.35 (95% CI, 1.27 to 1.43) to 1.79 (95% CI, 1.70 to 1.88) in validation cohort 1 with similar improvements observed in validation cohort 2. We observed the largest gain in positive predictive value using the caIRS in Black/African American women across both validation cohorts, with an approximately two-fold increase and an equivalent negative predictive value as the T-C. In a multivariate, age-adjusted logistic regression model including both caIRS and T-C, caIRS remained significant, indicating that caIRS provides information over T-C alone. CONCLUSION Adding a caPRS to the T-C model improves BC risk stratification for women of multiple ancestries, which could have implications for screening recommendations and prevention.
Collapse
Affiliation(s)
| | | | | | | | - Brynn Levy
- MyOme Inc, Menlo Park, CA.,Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY
| | | | | | | | | | | |
Collapse
|
6
|
Zunica ERM, Axelrod CL, Kirwan JP. Phytochemical Targeting of Mitochondria for Breast Cancer Chemoprevention, Therapy, and Sensitization. Int J Mol Sci 2022; 23:ijms232214152. [PMID: 36430632 PMCID: PMC9692881 DOI: 10.3390/ijms232214152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/10/2022] [Accepted: 11/10/2022] [Indexed: 11/19/2022] Open
Abstract
Breast cancer is a common and deadly disease that causes tremendous physical, emotional, and financial burden on patients and society. Early-stage breast cancer and less aggressive subtypes have promising prognosis for patients, but in aggressive subtypes, and as cancers progress, treatment options and responses diminish, dramatically decreasing survival. Plants are nutritionally rich and biologically diverse organisms containing thousands of metabolites, some of which have chemopreventive, therapeutic, and sensitizing properties, providing a rich source for drug discovery. In this study we review the current landscape of breast cancer with a central focus on the potential role of phytochemicals for treatment, management, and disease prevention. We discuss the relevance of phytochemical targeting of mitochondria for improved anti-breast cancer efficacy. We highlight current applications of phytochemicals and derivative structures that display anti-cancer properties and modulate cancer mitochondria, while describing future applicability and identifying areas of promise.
Collapse
|
7
|
The Interplay between the Cellular Response to DNA Double-Strand Breaks and Estrogen. Cells 2022; 11:cells11193097. [PMID: 36231059 PMCID: PMC9563627 DOI: 10.3390/cells11193097] [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: 09/05/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/17/2022] Open
Abstract
Cancer development is often connected to impaired DNA repair and DNA damage signaling pathways. The presence of DNA damage in cells activates DNA damage response, which is a complex cellular signaling network that includes DNA repair, activation of the cell cycle checkpoints, cellular senescence, and apoptosis. DNA double-strand breaks (DSBs) are toxic lesions that are mainly repaired by the non-homologous end joining and homologous recombination repair (HRR) pathways. Estrogen-dependent cancers, like breast and ovarian cancers, are frequently associated with mutations in genes that play a role in HRR. The female sex hormone estrogen binds and activates the estrogen receptors (ERs), ERα, ERβ and G-protein-coupled ER 1 (GPER1). ERα drives proliferation, while ERβ inhibits cell growth. Estrogen regulates the transcription, stability and activity of numerus DDR factors and DDR factors in turn modulate ERα expression, stability and transcriptional activity. Additionally, estrogen stimulates DSB formation in cells as part of its metabolism and proliferative effect. In this review, we will present an overview on the crosstalk between estrogen and the cellular response to DSBs. We will discuss how estrogen regulates DSB signaling and repair, and how DDR factors modulate the expression, stability and activity of estrogen. We will also discuss how the regulation of HRR genes by estrogen promotes the development of estrogen-dependent cancers.
Collapse
|
8
|
Radmanesh H, Liu D, Geffers R, Shandiz FH, Sadr-Nabavi A, Hillemanns P, Park-Simon TW, Dörk T. Exome sequencing identifies RASSF1 and KLK3 germline variants in an Iranian multiple-case breast cancer family. Eur J Med Genet 2022; 65:104425. [PMID: 35032689 DOI: 10.1016/j.ejmg.2022.104425] [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: 09/04/2020] [Revised: 12/17/2021] [Accepted: 01/08/2022] [Indexed: 11/03/2022]
Abstract
Breast cancer is the most frequent malignancy among women in both developed and developing countries. Although several genes have been identified to harbor germline variants contributing to breast cancer risk, much of the heritability for breast cancer is yet undefined. In the present study, we have performed exome sequencing to detect susceptibility genes in an Iranian family with five first-degree family members affected with breast cancer. We identified novel candidate variants with predicted pathogenicity in RASSF1, KLK3 and FAM81B. The RASSF1 and KLK3 variants, but not the FAM81B variant, partially co-segregated with disease in the investigated pedigree and were not found in additional screenings outside the specific family. RASSF1 p.S135F is a missense substitution abolishing the ATM phosphorylation site, and KLK3 variant p.M1? is a deletion at the initiation codon that is predicted to abolish translation to the functional kallikrein protease, PSA. Our study suggests germline variation in RASSF1 and KLK3 as candidate contributors to familial breast cancer predisposition and illustrates the difficulties to determine the causal genetic risk factor among novel variants restricted to a single family.
Collapse
Affiliation(s)
- Hoda Radmanesh
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany; Department of Radiation Oncology, Hannover Medical School, Hannover, Germany; Department of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Di Liu
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany; Department of Radiology, Norman Bethune College of Medicine, Second Hospital of Jilin University, Changchun, China
| | - Robert Geffers
- Genome Analytics Unit, Helmholtz Center for Infection Research, Braunschweig, Germany
| | - Fatemeh Homaei Shandiz
- Radiation Oncology Cancer Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ariane Sadr-Nabavi
- Department of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Peter Hillemanns
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Tjoung-Won Park-Simon
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Thilo Dörk
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany.
| |
Collapse
|
9
|
Kišonas J, Venius J, Sevriukova O, Grybauskas M, Dabkevičienė D, Burneckis A, Rotomskis R. Individual Radiosensitivity as a Risk Factor for the Radiation-Induced Acute Radiodermatitis. Life (Basel) 2021; 12:life12010020. [PMID: 35054413 PMCID: PMC8781761 DOI: 10.3390/life12010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 11/23/2022] Open
Abstract
Background: Up to 95% of irradiated patients suffer from ionizing radiation (IR) induced early skin reaction, acute radiation dermatitis (ARD). Some experts think that additional skin hydration can reduce acute skin reactions. Individual radiosensitivity (IRS) determined from lymphocytes may help to predict acute radiation toxicity. The purpose of this study is to evaluate the clinical manifestation of ARD in different skincare groups during whole breast radiotherapy depending on IRS and other risk factors. Methods: A total of 108 early-stage breast cancer patients were randomized into best supportive care (BSC) and additional skincare (ASC) groups. IRS was evaluated using a G2 assay modified with caffeine-induced G2 checkpoint arrest. All patients received a 50 Gy dose to the breast planning target volume (PTV). Clinical assessment of ARD symptoms according to the CTCAE grading scale was performed once a week. Results: IRS was successfully determined for 91 out of 108 patients. A total of 10 patients (11%) had normal IRS, 47 patients (52%) were categorized as radiosensitive, and 34 (37%) as highly radiosensitive. There was no significant difference in the manifestation of ARD between patient groups by skincare or IRS. According to logistic regression, patients with bigger breasts were prone to more severe ARD (p = 0.002). Conclusions: The additional skincare did not improve skin condition during RT. A total of 89% of patients had increased radiosensitivity. IRS determined before RT did not show the predictive value for the manifestation of ARD. Logistic regression revealed that breast volume was the most significant risk factor for the manifestation of ARD.
Collapse
Affiliation(s)
- Juras Kišonas
- Department of Radiation Oncology, National Cancer Institute, LT-08660 Vilnius, Lithuania; (M.G.); (A.B.)
- Department of Neurobiology and Biophysics, Vilnius University, LT-10257 Vilnius, Lithuania
- Correspondence: ; Tel.: +370-612-376-96
| | - Jonas Venius
- Medical Physics Department, National Cancer Institute, LT-08660 Vilnius, Lithuania;
- Biomedical Physics Laboratory, National Cancer Institute, LT-08660 Vilnius, Lithuania;
| | | | - Mindaugas Grybauskas
- Department of Radiation Oncology, National Cancer Institute, LT-08660 Vilnius, Lithuania; (M.G.); (A.B.)
| | | | - Arvydas Burneckis
- Department of Radiation Oncology, National Cancer Institute, LT-08660 Vilnius, Lithuania; (M.G.); (A.B.)
| | - Ričardas Rotomskis
- Biomedical Physics Laboratory, National Cancer Institute, LT-08660 Vilnius, Lithuania;
| |
Collapse
|
10
|
Sadri Nahand J, Rabiei N, Fathazam R, Taghizadieh M, Ebrahimi MS, Mahjoubin-Tehran M, Bannazadeh Baghi H, Khatami A, Abbasi-Kolli M, Mirzaei HR, Rahimian N, Darvish M, Mirzaei H. Oncogenic viruses and chemoresistance: What do we know? Pharmacol Res 2021; 170:105730. [PMID: 34119621 DOI: 10.1016/j.phrs.2021.105730] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/05/2021] [Accepted: 06/09/2021] [Indexed: 12/12/2022]
Abstract
Chemoresistance is often referred to as a major leading reason for cancer therapy failure, causing cancer relapse and further metastasis. As a result, an urgent need has been raised to reach a full comprehension of chemoresistance-associated molecular pathways, thereby designing new therapy methods. Many of metastatic tumor masses are found to be related with a viral cause. Although combined therapy is perceived as the model role therapy in such cases, chemoresistant features, which is more common in viral carcinogenesis, often get into way of this kind of therapy, minimizing the chance of survival. Some investigations indicate that the infecting virus dominates other leading factors, i.e., genetic alternations and tumor microenvironment, in development of cancer cell chemoresistance. Herein, we have gathered the available evidence on the mechanisms under which oncogenic viruses cause drug-resistance in chemotherapy.
Collapse
Affiliation(s)
- Javid Sadri Nahand
- Department of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Nikta Rabiei
- School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Fathazam
- School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Taghizadieh
- Department of Pathology, School of Medicine, Center for Women's Health Research Zahra, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Saeid Ebrahimi
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran; Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Maryam Mahjoubin-Tehran
- Department of Medical Biotechnology and Nanotechnology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hossein Bannazadeh Baghi
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - AliReza Khatami
- Department of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Abbasi-Kolli
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | | | - Neda Rahimian
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences (IUMS), Tehran, Iran.
| | - Maryam Darvish
- Department of Medical Biotechnology, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
| |
Collapse
|
11
|
Chen TH, Wei JR, Lei J, Chiu JY, Shih KH. A Clinicogenetic Prognostic Classifier for Prediction of Recurrence and Survival in Asian Breast Cancer Patients. Front Oncol 2021; 11:645853. [PMID: 33816299 PMCID: PMC8010242 DOI: 10.3389/fonc.2021.645853] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 02/25/2021] [Indexed: 11/13/2022] Open
Abstract
Background Several prognostic factors affect the recurrence of breast cancer in patients who undergo mastectomy. Assays of the expression profiles of multiple genes increase the probability of overexpression of certain genes and thus can potentially characterize the risk of metastasis. Methods We propose a 20-gene classifier for predicting patients with high/low risk of recurrence within 5 years. Gene expression levels from a quantitative PCR assay were used to screen 473 luminal breast cancer patients treated at Taiwan Hospital (positive for estrogen and progesterone receptors, negative for human epidermal growth factor receptor 2). Gene expression scores, along with clinical information (age, tumor stage, and nodal stage), were evaluated for risk prediction. The classifier could correctly predict patients with and without relapse (logistic regression, P<0.05). Results A Cox proportional hazards regression analysis showed that the 20-gene panel was prognostic with hazard ratios of 5.63 (95% confidence interval 2.77-11.5, univariate) and 5.56 (2.62-11.8, multivariate) for the “genetic” model, and of 8.02 (3.52-18.3, univariate) and 19.8 (5.96-65.87, multivariate) for the “clinicogenetic” model during a 5-year follow-up. Conclusions The proposed 20-gene classifier can successfully separate the patients into two risk groups, and the two risk group had significantly different relapse rate and prognosis. This 20-gene classifier can provide better estimation of prognosis, which can help physicians to make better personalized treatment plans.
Collapse
Affiliation(s)
- Ting-Hao Chen
- Department of Medical Operation, Amwise Diagnostics Pte. Ltd., Singapore, Singapore
| | - Jun-Ru Wei
- Department of Medical Operation, Amwise Diagnostics Pte. Ltd., Singapore, Singapore
| | - Jason Lei
- Department of Product Development, Amwise Diagnostics Pte. Ltd., Singapore, Singapore
| | - Jian-Ying Chiu
- Department of Medical Operation, Amwise Diagnostics Pte. Ltd., Singapore, Singapore
| | - Kuan-Hui Shih
- Department of Medical Operation, Amwise Diagnostics Pte. Ltd., Singapore, Singapore
| |
Collapse
|
12
|
Zhao F, Hao Z, Zhong Y, Xu Y, Guo M, Zhang B, Yin X, Li Y, Zhou X. Discovery of breast cancer risk genes and establishment of a prediction model based on estrogen metabolism regulation. BMC Cancer 2021; 21:194. [PMID: 33632172 PMCID: PMC7905915 DOI: 10.1186/s12885-021-07896-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 02/09/2021] [Indexed: 11/18/2022] Open
Abstract
Background Multiple common variants identified by genome-wide association studies have shown limited evidence of the risk of breast cancer in Chinese individuals. In this study, we aimed to uncover the relationship between estrogen levels and the genetic polymorphism of estrogen metabolism-related enzymes in breast cancer (BC) and establish a risk prediction model composed of estrogen-metabolizing enzyme genes and GWAS-identified breast cancer-related genes based on a polygenic risk score. Methods Unrelated BC patients and healthy subjects were recruited for analysis of estrogen levels and single nucleotide polymorphisms (SNPs) in genes encoding estrogen metabolism-related enzymes. The polygenic risk score (PRS) was used to explore the combined effect of multiple genes, which was calculated using a Bayesian approach. An independent sample t-test was used to evaluate the differences between PRS scores of BC and healthy subjects. The discriminatory accuracy of the models was compared using the area under the receiver operating characteristic (ROC) curve. Results The estrogen homeostasis profile was disturbed in BC patients, with parent estrogens (E1, E2) and carcinogenic catechol estrogens (2/4-OHE1, 2-OHE2, 4-OHE2) significantly accumulating in the serum of BC patients. We then established a PRS model to evaluate the role of SNPs in multiple genes. PRS model 1 (M1) was established from SNPs in 6 GWAS-identified high risk genes. On the basis of M1, we added SNPs from 7 estrogen metabolism enzyme genes to establish PRS model 2 (M2). The independent sample t-test results showed that there was no difference between BC and healthy subjects in M1 (P = 0.17); however, there was a significant difference between BC and healthy subjects in M2 (P = 4.9*10− 5). The ROC curve results showed that the accuracy of M2 (AUC = 62.18%) in breast cancer risk identification was better than that of M1 (AUC = 54.56%). Conclusion Estrogen and related metabolic enzyme gene polymorphisms are closely related to BC. The model constructed by adding estrogen metabolic enzyme gene SNPs has a good predictive ability for breast cancer risk, and the accuracy is greatly improved compared with that of the PRS model that only includes GWAS-identified gene SNPs.
Collapse
Affiliation(s)
- Feng Zhao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, College of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, China.,Department of Pharmacy, The First People's Hospital of Yancheng, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, China
| | - Zhixiang Hao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, College of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, China
| | - Yanan Zhong
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, College of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, China
| | - Yinxue Xu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, College of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, China
| | - Meng Guo
- Department of Thyroid and Breast Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Bei Zhang
- Department of Obstetrics and Gynecology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China
| | - Xiaoxing Yin
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, College of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, China
| | - Ying Li
- Department of Thyroid and Breast Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xueyan Zhou
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, College of Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, 221004, China.
| |
Collapse
|
13
|
Liu M, Song SS, Park S. Coffee Intake Interacted with the Bcl-2 rs1944420, rs7236090, and rs2849382 Haplotype to Influence Breast Cancer Risk in Middle-Aged Women. Nutr Cancer 2021; 74:131-140. [PMID: 33459575 DOI: 10.1080/01635581.2021.1871926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
We hypothesized that the haplotype of Bcl-2 genetic variants increases breast cancer risk and interacts with lifestyles in Korean women. We identified single nucleotide polymorphism (SNPs) of Bcl-2 associated with breast cancer risk after adjusting for covariates in 390 breast cancer patients and 36,726 women without any cancer that participated in the Korean Genomic Epidemiology Study (KoGES). An allelic genetic model showed that three SNPs (rs1944420, rs7236090, and rs2849382) in the Bcl-2 gene were significantly associated with breast cancer (ORs = 1.28, 0.84, and 0.79, respectively). The participants with the minor allele of the haplotype with three SNPs had 1.65-fold higher breast cancer risk than those with the major allele, after adjusting for covariates. Serum C-reactive protein concentration had a positive association with breast cancer risk. A significant interaction was also observed between the minor allele of the Bcl-2 haplotype and coffee intake (P = 0.03). A low coffee intake in women with the minor allele presented a higher breast cancer risk than a low coffee intake in those with the major allele. In conclusion, the risk of breast cancer risk was higher in post-menopausal women with the minor allele of the Bcl-2 haplotype, and consuming more than 1 cup of coffee per day reduced the risk. The results of this study could be applied to reduce the risk of breast cancer.
Collapse
Affiliation(s)
- Meiling Liu
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, Chungnam, South Korea
| | - Sang Shin Song
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, Chungnam, South Korea
| | - Sunmin Park
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, Chungnam, South Korea
| |
Collapse
|
14
|
Feng H, Gusev A, Pasaniuc B, Wu L, Long J, Abu-full Z, Aittomäki K, Andrulis IL, Anton-Culver H, Antoniou AC, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blanco A, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brüning T, Burwinkel B, Cai Q, Caldés T, Caligo MA, Campbell I, Canisius S, Campa D, Carter BD, Carter J, Castelao JE, Chang-Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, De Leeneer K, Dennis J, Devilee P, Diez O, Domchek SM, Dörk T, dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gabrielson M, Ganz PA, Gapstur SM, Garber J, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, Hake C, He W, Heyworth J, Hogervorst FB, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Huang G, Hulick PJ, Humphreys K, Imyanitov EN, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Jung A, Karlan BY, Khusnutdinova E, Kiiski JI, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leroux D, Leslie G, Lester J, Lesueur F, Lindor N, Lindström S, Lo WY, Loud JT, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JW, Martinez ME, Matricardi L, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Kapoor PM, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park-Simon TW, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Peto J, Pharoah PD, Phillips KA, Plaseska-Karanfilska D, Poppe B, Pradhan N, Prajzendanc K, Presneau N, Punie K, Pylkäs K, Radice P, Rantala J, Rashid MU, Rennert G, Risch HA, Robson M, Romero A, Saloustros E, Sandler DP, Santos C, Sawyer EJ, Schmidt MK, Schmidt DF, Schmutzler RK, Schoemaker MJ, Scott RJ, Sharma P, Shu XO, Simard J, Singer CF, Skytte AB, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Torres D, Truong T, Tung N, Vachon CM, van Asperen CJ, van den Ouweland AMW, van Rensburg EJ, Vega A, Viel A, Vieiro-Balo P, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Milne RL, Easton DF, Chenevix-Trench G, Zheng W, Kraft P, Jiang X. Transcriptome-wide association study of breast cancer risk by estrogen-receptor status. Genet Epidemiol 2020; 44:442-468. [PMID: 32115800 PMCID: PMC7987299 DOI: 10.1002/gepi.22288] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 01/13/2020] [Accepted: 02/13/2020] [Indexed: 12/24/2022]
Abstract
Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.
Collapse
Affiliation(s)
- Helian Feng
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | | | | | - Lang Wu
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Zomoroda Abu-full
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Irene L. Andrulis
- Fred A, Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, California
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Adalgeir Arason
- Department of Pathology, Landspitali University Hospital, Reykjavik, Iceland
- BMC (Biomedical Centre), Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J. Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen’s University, Kingston, Ontario, Canada
| | - Banu K. Arun
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ella Asseryanis
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Paul L. Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Judith Balmaña
- High Risk and Cancer Prevention Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | - Rosa B. Barkardottir
- Department of Pathology, Landspitali University Hospital, Reykjavik, Iceland
- BMC (Biomedical Centre), Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Daniel R. Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Javier Benitez
- Centro de Investigaci—n en Red de Enfermedades Raras (CIBERER), Madrid, Spain
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Katarzyna Białkowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Ana Blanco
- Centro de Investigaci—n en Red de Enfermedades Raras (CIBERER), Madrid, Spain
- Fundaci—n Pœblica Galega Medicina Xen—mica, Santiago De Compostela, Spain
- Instituto de Investigacion Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Bram Boeckx
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Natalia V. Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
- NN Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Ake Borg
- Department of Oncology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tuebingen, Tuebingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Ignacio Briceno
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
- Medical Faculty, Universidad de La Sabana, Bogota, Colombia
| | - Annegien Broeks
- Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Trinidad Caldés
- Medical Oncology Department, Hospital Cl’nico San Carlos, Instituto de Investigaci—n Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Maria A. Caligo
- Section of Molecular Genetics, Dept, of Laboratory Medicine, University Hospital of Pisa, Pisa, Italy
| | - Ian Campbell
- Research Department, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sander Canisius
- Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute—Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Daniele Campa
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Brian D. Carter
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Jonathan Carter
- Department of Gynaecological Oncology, Chris OÕBrien Lifehouse and The University of Sydney, Camperdown, New South Wales, Australia
| | - Jose E. Castelao
- Oncology and Genetics Unit, Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Hans Christiansen
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, New York
| | | | - Christine L. Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - GEMO Study Collaborators
- Department of Tumour Biology, INSERM U830, Paris, France
- Institut Curie, Paris, France
- Mines ParisTech, Fontainebleau, France
| | - EMBRACE Collaborators
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - GC-HBOC study Collaborators
- Center for Hereditary Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Angela Cox
- Department of Oncology and Metabolism, Sheffield Institute for Nucleic Acids (SInFoNiA), University of Sheffield, Sheffield, UK
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Cezary Cybulski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B. Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Miguel de la Hoya
- Medical Oncology Department, Hospital Cl’nico San Carlos, Instituto de Investigaci—n Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Kim De Leeneer
- Centre for Medical Genetics, Ghent University, Gent, Belgium
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Orland Diez
- Hereditary Cancer Genetics Group, Area of Clinical and Molecular Genetics, Vall dHebron Institute of Oncology (VHIO), University Hospital Vall d’Hebron, Barcelona, Spain
- Clinical and Molecular Genetics Area, University Hospital Vall dHebron, Barcelona, Spain
| | - Susan M. Domchek
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Miriam Dwek
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Diana M. Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Bent Ejlertsen
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Carolina Ellberg
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Peter A. Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, California
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research ‘Demokritos’, Athens, Greece
| | - Eitan Friedman
- The Susanne Levy Gertner Oncogenetics Unit, Chaim Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
| | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Patricia A. Ganz
- Schools of Medicine and Public Health, Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Centre, UCLA, Los Angeles, California
| | - Susan M. Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Judy Garber
- Cancer Risk and Prevention Clinic, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - José A. García-Sáenz
- Medical Oncology Department, Hospital Cl’nico San Carlos, Instituto de Investigaci—n Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Mia M. Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gord Glendon
- Fred A, Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Andrew K. Godwin
- Department of Pathology and Laboratory Medicine, Kansas University Medical Center, Kansas City, Kanas
| | - Mark S. Goldberg
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montreal, Quebec, Canada
| | - David E. Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Mark H. Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Sšdersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christopher Hake
- City of Hope Clinical Cancer Genetics Community Research Network, Duarte, California
| | - Wei He
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jane Heyworth
- School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Frans B.L. Hogervorst
- Family Cancer Clinic, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Maartje J. Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Guanmengqian Huang
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter J. Hulick
- Center for Medical Genetics, NorthShore University HealthSystem, Evanston, Illinois
- The University of Chicago Pritzker School of Medicine, Chicago, Illinois
| | - Keith Humphreys
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - ABCTB Investigators
- Australian Breast Cancer Tissue Bank, Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - HEBON Investigators
- The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Coordinating Center, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - BCFR Investigators
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - OCGN Investigators
- Ontario Cancer Genetics Network, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Milena Jakimovska
- Research Centre for Genetic Engineering and Biotechnology ‘Georgi D, Efremov’, Macedonian Academy of Sciences and Arts, Skopje Republic of North Macedonia, North Macedonia
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Paul James
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
| | | | - Rachel C. Jankowitz
- Department of Medicine, Division of Hematology/Oncology, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Esther M. John
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Nichola Johnson
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Vijai Joseph
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Beth Y. Karlan
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State Medical University, Ufa, Russia
| | - Johanna I. Kiiski
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research ‘Demokritos’, Athens, Greece
| | - Vessela N. Kristensen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital-Radiumhospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Yael Laitman
- The Susanne Levy Gertner Oncogenetics Unit, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Diether Lambrechts
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
| | - Conxi Lazaro
- Molecular Diagnostic Unit, Hereditary Cancer Program, ICO-IDIBELL (Bellvitge Biomedical Research Institute, Catalan Institute of Oncology), CIBERONC, Barcelona, Spain
| | | | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jenny Lester
- David Geffen School of Medicine, Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Fabienne Lesueur
- Institut Curie, Paris, France
- Mines ParisTech, Fontainebleau, France
- Genetic Epidemiology of Cancer Team, Inserm U900, Paris, France
| | - Noralane Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, Arizona
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tuebingen, Tuebingen, Germany
| | - Jennifer T. Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Enes Makalic
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sara Margolin
- Department of Oncology, Sšdersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Sšdersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - John W.M. Martens
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Maria E. Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, California
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California
| | - Laura Matricardi
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology ÊIOV—IRCCS, Padua, Italy
| | - Tabea Maurer
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Alfons Meindl
- Department of Gynecology and Obstetrics, Ludwig Maximilian University of Munich, Munich, Germany
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Electron Microscopy/Molecular Pathology and The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - Pooja M. Kapoor
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Austin Miller
- NRG Oncology, Statistics and Data Management Center, Roswell Park Cancer Institute, Buffalo, New York
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology ÊIOV—IRCCS, Padua, Italy
| | - Fernando Moreno
- Medical Oncology Department, Hospital Cl’nico San Carlos, Instituto de Investigaci—n Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Lidia Moserle
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology ÊIOV—IRCCS, Padua, Italy
| | - Anna M. Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Taru A. Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Katherine L. Nathanson
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Ines Nevelsteen
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Finn C. Nielsen
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | | | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Ana Osorio
- Centro de Investigaci—n en Red de Enfermedades Raras (CIBERER), Madrid, Spain
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Janos Papp
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | | | - Michael T. Parsons
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Inge S. Pedersen
- Section of Molecular Diagnostics, Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
| | - Ana Peixoto
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM—The FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Paul D.P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Kelly-Anne Phillips
- Research Department, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Medicine Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology ‘Georgi D, Efremov’, Macedonian Academy of Sciences and Arts, Skopje Republic of North Macedonia, North Macedonia
| | - Bruce Poppe
- Centre for Medical Genetics, Ghent University, Gent, Belgium
| | - Nisha Pradhan
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Karolina Prajzendanc
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Nadege Presneau
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Kevin Punie
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | | | - Muhammad Usman Rashid
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Basic Sciences, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore, Pakistan
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Mark Robson
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina
| | - Catarina Santos
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
| | - Elinor J. Sawyer
- Research Oncology, GuyÕs Hospital, King’s College London, London, UK
| | - Marjanka K. Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Daniel F. Schmidt
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia
| | - Rita K. Schmutzler
- Center for Hereditary Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | - Rodney J Scott
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, New South Wales, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Priyanka Sharma
- Department of Internal Medicine, Division of Medical Oncology, University of Kansas Medical Center, Westwood, Kanas
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Quebec–Universite Laval, Research Center, Quebec City, Qubec, Canada
| | - Christian F. Singer
- Department of OB/GYN and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Anne-Bine Skytte
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus N, Denmark
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Quebec–Universite Laval, Research Center, Quebec City, Qubec, Canada
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
| | - John J. Spinelli
- Population Oncology, BC Cancer, Vancouver, British of Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British of Columbia, Canada
| | - Amanda B. Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Curtin University and University of Western Australia, Perth, Western Australia, Australia
| | - Anthony J. Swerdlow
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | | | - Jack A. Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina
| | - Manuel R. Teixeira
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Alex Teulé
- Genetic Counseling Unit, Hereditary Cancer Program, IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odence C, Denmark
| | - Kathrin Thöne
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Darcy L. Thull
- Department of Medicine, Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology, McGill University, Montreal, Quebec, Canada
- Department of Medical Genetics, University of Cambridge, Cambridge, UK
| | - Amanda E. Toland
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, Ohio
| | | | - Diana Torres
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Nadine Tung
- Department of Medical Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Celine M. Vachon
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
| | - Christi J. van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Ana Vega
- Centro de Investigaci—n en Red de Enfermedades Raras (CIBERER), Madrid, Spain
- Fundaci—n Pœblica Galega Medicina Xen—mica, Santiago De Compostela, Spain
- Instituto de Investigacion Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Alessandra Viel
- Division of Functional Onco-genomics and Genetics, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Paula Vieiro-Balo
- Hospital Clínico Universitario (SERGAS), Universidad de Santiago de Compostela, CIMUS, Santiago de Compostela, España
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Barbara Wappenschmidt
- Center for Hereditary Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R. Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina
| | | | - Camilla Wendt
- Department of Clinical Science and Education, Sšdersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Xiaohong R. Yang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research ‘Demokritos’, Athens, Greece
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, California
| | - Roger L. Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Xia Jiang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| |
Collapse
|
15
|
Interplay between BRCA1 and GADD45A and Its Potential for Nucleotide Excision Repair in Breast Cancer Pathogenesis. Int J Mol Sci 2020; 21:ijms21030870. [PMID: 32013256 PMCID: PMC7037490 DOI: 10.3390/ijms21030870] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 01/26/2020] [Accepted: 01/27/2020] [Indexed: 12/12/2022] Open
Abstract
A fraction of breast cancer cases are associated with mutations in the BRCA1 (BRCA1 DNA repair associated, breast cancer type 1 susceptibility protein) gene, whose mutated product may disrupt the repair of DNA double-strand breaks as BRCA1 is directly involved in the homologous recombination repair of such DNA damage. However, BRCA1 can stimulate nucleotide excision repair (NER), the most versatile system of DNA repair processing a broad spectrum of substrates and playing an important role in the maintenance of genome stability. NER removes carcinogenic adducts of diol-epoxy derivatives of benzo[α]pyrene that may play a role in breast cancer pathogenesis as their accumulation is observed in breast cancer patients. NER deficiency was postulated to be intrinsic in stage I of sporadic breast cancer. BRCA1 also interacts with GADD45A (growth arrest and DNA damage-inducible protein GADD45 alpha) that may target NER machinery to actively demethylate genome sites in order to change the expression of genes that may be important in breast cancer. Therefore, the interaction between BRCA1 and GADD45 may play a role in breast cancer pathogenesis through the stimulation of NER, increasing the genomic stability, removing carcinogenic adducts, and the local active demethylation of genes important for cancer transformation.
Collapse
|
16
|
Lin CY, Yang SF, Ho YL, Ho CM. Copy number alternations of the 17q23-rs6504950 locus are associated with advanced breast cancers in Taiwanese women. Tzu Chi Med J 2019; 32:193-197. [PMID: 32269954 PMCID: PMC7137366 DOI: 10.4103/tcmj.tcmj_45_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 03/22/2019] [Accepted: 04/23/2019] [Indexed: 12/03/2022] Open
Abstract
Objective: Breast cancer is one of the most common malignancies and a leading cause of cancer-related death in women worldwide. Both hormone-related factors and genetic aberrations could cause breast cancer. We investigated copy number alternations (CNAs) on four breast cancer-susceptible loci, namely 2q35-rs13387042, 3p24-rs4973768, 17q23-rs6504950, and fibroblast growth factor receptor 2 (FGFR2)-rs2981578, in Taiwanese women. Patients and Methods: Breast cancer tissues and blood samples from 66 patients and their clinical data were collected from a human biobank. The copy numbers of the germline samples (from blood) and cancer tissues from each patient on the susceptible loci – 2q35, 3p24, 17q23, and FGFR2 – were obtained using TaqMan probes in the Applied Biosystems Inc., (ABI) StepOnePlus Real-Time Polymerase Chain Reaction instrument and CopyCaller® Software v1.0 (ABI, CA, USA). Results: The mean copy numbers output by CopyCaller® Software v1.0 of the cancer tissues on these susceptible loci (2q35, 3p24, 17q23, and FGFR2) from the 66 patients were higher than those of the blood samples (2.0 vs. 1.9); however, significantly higher copy numbers for cancer tissues compared with germline samples were discovered only on 2q35-rs13387042 (P = 0.035). In addition, patients with advanced breast cancers had relatively many CNAs between their cancer tissues and germline samples on 17q23-rs6504950 (P = 0.008). Multivariate analysis revealed that the risk factor for patients with advanced breast cancers was CNAs between cancer tissues and germline samples on 17q23-rs6504950 (odds ratio = 13.337, 95% confidence interval: 1.525–122.468). Conclusions: CNAs on 17q23-rs6504950 between cancer tissues and germline samples could affect cancer progression in Taiwanese women with breast cancer. Further investigations regarding the role of CNAs on 17q23-rs6504950 in cancer progression are necessary to elucidate the pathogenesis of breast cancer.
Collapse
Affiliation(s)
- Chien-Yu Lin
- Department of Laboratory Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.,Department of Laboratory Medicine and Biotechnology, College of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Shu-Fen Yang
- Department of Laboratory Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.,Department of Laboratory Medicine and Biotechnology, College of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Yu-Ling Ho
- Department of Nursing, Hungkuang University, Taichung, Taiwan
| | - Cheng-Mao Ho
- Department of Laboratory Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.,Department of Nursing, Hungkuang University, Taichung, Taiwan.,Department of Clinical Pathology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.,Department of Laboratory Medicine and Diagnosis, School of Medicine, Tzu Chi University, Hualien, Taiwan
| |
Collapse
|
17
|
Gallardo-Alvarado LN, Tusié-Luna MT, Tussié-Luna MI, Díaz-Chávez J, Segura YX, Bargallo-Rocha E, Villarreal C, Herrera-Montalvo LA, Herrera-Medina EM, Cantu-de Leon DF. Prevalence of germline mutations in the TP53 gene in patients with early-onset breast cancer in the Mexican population. BMC Cancer 2019; 19:118. [PMID: 30709381 PMCID: PMC6359755 DOI: 10.1186/s12885-019-5312-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 01/21/2019] [Indexed: 12/16/2022] Open
Abstract
Background Heterozygous germline TP53 gene mutations result in Li-Fraumeni Syndrome (LFS). Breast cancer (BC) is the most frequent tumor in young women with LFS. An important issue related to BC in the Mexican population is the average age at diagnosis, which is approximately 11 years younger than that of patients in the United States (U.S.) and Europe. The aim of this study was to determine the prevalence of germline mutations in TP53 among young Mexican BC patients. Methods We searched for germline mutations in the TP53 gene using targeted next-generation sequencing (NGS) in 78 BC patients younger than 45 years old (yo) who tested negative for BRCA1/2 mutations. A group of 509 Mexican women aged 45yo or older without personal or family BC history (parents/grandparents) was used as a control. Results We identified five patients with pathogenic variants in the TP53 gene, equivalent to 6.4% (5/78). Among patients diagnosed at age 36 or younger, 9.4% (5/55) had pathogenic TP53 mutations. Three of these variants were missense mutations (c.844C > T, c.517G > A, and c.604C > T), and the other two mutations were frameshifts (c.291delC and c.273dupC) and had not been reported previously. We also identified a variant of uncertain clinical significance (VUS), c.672G > A, which causes a putative splice donor site mutation. All patients with TP53 mutations had high-grade and HER2-positive tumors. None of the 509 patients in the healthy control group had mutations in TP53. Conclusions Among Mexican BC patients diagnosed at a young age, we identified a high proportion with germline mutations in the TP53 gene. All patients with the TP53 mutations had a family history suggestive of LFS. To establish the clinical significance of the VUS found, additional studies are needed. Pathogenic variants of TP53 may explain a substantial fraction of BC in young women in the Mexican population. Importantly, none of these mutations or other pathological variants in TP53 were found in the healthy control group.
Collapse
Affiliation(s)
- Lenny N Gallardo-Alvarado
- Instituto Nacional de Cancerología, San Fernando Avenue #22, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - María Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Instituto de Investigaciones Biómédicas de la UNAM, Vasco de Quiroga #15, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - María Isabel Tussié-Luna
- División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Av. Universidad #3000. Col. Universidad Nacional Autónoma de México, C.U., Zip Code 04510, Coyoacán, Mexico City, Mexico.,Unidad de Investigación en Virología y Cáncer, Hospital Infantil de México Federico Gómez, Dr. Márquez No. 162, Col. Doctores, Zip Code 06720, Cuauhtémoc, Mexico City, Mexico
| | - José Díaz-Chávez
- Instituto Nacional de Cancerología, San Fernando Avenue #22, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - Yayoi X Segura
- Unidad de Biología Molecular y Medicina Genómica. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Instituto de Investigaciones Biómédicas de la UNAM, Vasco de Quiroga #15, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - Enrique Bargallo-Rocha
- Instituto Nacional de Cancerología, San Fernando Avenue #22, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - Cynthia Villarreal
- Instituto Nacional de Cancerología, San Fernando Avenue #22, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - Luis A Herrera-Montalvo
- Instituto Nacional de Cancerología, San Fernando Avenue #22, Zip Code 14080, Tlalpan, Mexico City, Mexico
| | - Enrique M Herrera-Medina
- Facultad de Ciencias, Universidad Nacional Autónoma de México (UNAM), Av. Universidad #3000. Col. Universidad Nacional Autónoma de México. C.U., Zip Code 04510, Mexico City, Mexico
| | - David F Cantu-de Leon
- Instituto Nacional de Cancerología, San Fernando Avenue #22, Zip Code 14080, Tlalpan, Mexico City, Mexico.
| |
Collapse
|
18
|
Yedjou CG, Sims JN, Miele L, Noubissi F, Lowe L, Fonseca DD, Alo RA, Payton M, Tchounwou PB. Health and Racial Disparity in Breast Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1152:31-49. [PMID: 31456178 PMCID: PMC6941147 DOI: 10.1007/978-3-030-20301-6_3] [Citation(s) in RCA: 238] [Impact Index Per Article: 47.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Breast cancer is the most common noncutaneous malignancy and the second most lethal form of cancer among women in the United States. It currently affects more than one in ten women worldwide. The chance for a female to be diagnosed with breast cancer during her lifetime has significantly increased from 1 in 11 women in 1975 to 1 in 8 women (Altekruse, SEER Cancer Statistics Review, 1975-2007. National Cancer Institute, Bethesda, 2010). This chance for a female of being diagnosed with cancer generally increases with age (Howlader et al, SEER Cancer Statistics Review, 1975-2010. National Cancer Institute, Bethesda, 2013). Fortunately, the mortality rate from breast cancer has decreased in recent years due to increased emphasis on early detection and more effective treatments in the White population. Although the mortality rates have declined in some ethnic populations, the overall cancer incidence among African American and Hispanic population has continued to grow. The goal of the work presented in this book chapter is to highlight similarities and differences in breast cancer morbidity and mortality rates among non-Hispanic white and non-Hispanic black populations. This book chapter also provides an overview of breast cancer, racial/ethnic disparities in breast cancer, breast cancer incidence and mortality rate linked to hereditary, major risk factors of breast cancer among minority population, breast cancer treatment, and health disparity. A considerable amount of breast cancer treatment research have been conducted, but with limited success for African Americans compared to other ethnic groups. Therefore, new strategies and approaches are needed to promote breast cancer prevention, improve survival rates, reduce breast cancer mortality, and ultimately improve the health outcomes of racial/ethnic minorities. In addition, it is vital that leaders and medical professionals from minority population groups be represented in decision-making in research so that racial disparity in breast cancer can be well-studied, fully addressed, and ultimately eliminated in breast cancer.
Collapse
Affiliation(s)
- Clement G Yedjou
- Natural Chemotherapeutics Research Laboratory, NIH/NIMHD RCMI-Center for Environmental Health, College of Science, Engineering and Technology, Jackson State University, Jackson, MS, USA.
| | - Jennifer N Sims
- Department of Epidemiology and Biostatistics, College of Public Service, Jackson State University, Jackson Medical Mall - Thad Cochran Center, Jackson, MS, USA
| | - Lucio Miele
- LSU Health Sciences Center, School of Medicine, Department of Genetics, New Orleans, LA, USA
| | - Felicite Noubissi
- Natural Chemotherapeutics Research Laboratory, NIH/NIMHD RCMI-Center for Environmental Health, College of Science, Engineering and Technology, Jackson State University, Jackson, MS, USA
| | - Leroy Lowe
- Getting to Know Cancer (NGO), Truro, NS, Canada
| | - Duber D Fonseca
- Natural Chemotherapeutics Research Laboratory, NIH/NIMHD RCMI-Center for Environmental Health, College of Science, Engineering and Technology, Jackson State University, Jackson, MS, USA
| | - Richard A Alo
- Natural Chemotherapeutics Research Laboratory, NIH/NIMHD RCMI-Center for Environmental Health, College of Science, Engineering and Technology, Jackson State University, Jackson, MS, USA
| | - Marinelle Payton
- Department of Epidemiology and Biostatistics, College of Public Service, Jackson State University, Jackson Medical Mall - Thad Cochran Center, Jackson, MS, USA
| | - Paul B Tchounwou
- Natural Chemotherapeutics Research Laboratory, NIH/NIMHD RCMI-Center for Environmental Health, College of Science, Engineering and Technology, Jackson State University, Jackson, MS, USA
| |
Collapse
|
19
|
Burke LJ, Sevcik J, Gambino G, Tudini E, Mucaki EJ, Shirley BC, Whiley P, Parsons MT, De Leeneer K, Gutiérrez‐Enríquez S, Santamariña M, Caputo SM, Santana dos Santos E, Soukupova J, Janatova M, Zemankova P, Lhotova K, Stolarova L, Borecka M, Moles‐Fernández A, Manoukian S, Bonanni B, Edwards SL, Blok MJ, van Overeem Hansen T, Rossing M, Diez O, Vega A, Claes KB, Goldgar DE, Rouleau E, Radice P, Peterlongo P, Rogan PK, Caligo M, Spurdle AB, Brown MA. BRCA1 and BRCA2 5' noncoding region variants identified in breast cancer patients alter promoter activity and protein binding. Hum Mutat 2018; 39:2025-2039. [PMID: 30204945 PMCID: PMC6282814 DOI: 10.1002/humu.23652] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 09/01/2018] [Accepted: 09/07/2018] [Indexed: 12/13/2022]
Abstract
The widespread use of next generation sequencing for clinical testing is detecting an escalating number of variants in noncoding regions of the genome. The clinical significance of the majority of these variants is currently unknown, which presents a significant clinical challenge. We have screened over 6,000 early-onset and/or familial breast cancer (BC) cases collected by the ENIGMA consortium for sequence variants in the 5' noncoding regions of BC susceptibility genes BRCA1 and BRCA2, and identified 141 rare variants with global minor allele frequency < 0.01, 76 of which have not been reported previously. Bioinformatic analysis identified a set of 21 variants most likely to impact transcriptional regulation, and luciferase reporter assays detected altered promoter activity for four of these variants. Electrophoretic mobility shift assays demonstrated that three of these altered the binding of proteins to the respective BRCA1 or BRCA2 promoter regions, including NFYA binding to BRCA1:c.-287C>T and PAX5 binding to BRCA2:c.-296C>T. Clinical classification of variants affecting promoter activity, using existing prediction models, found no evidence to suggest that these variants confer a high risk of disease. Further studies are required to determine if such variation may be associated with a moderate or low risk of BC.
Collapse
Affiliation(s)
- Leslie J. Burke
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
| | - Jan Sevcik
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Gaetana Gambino
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Section of Molecular GeneticsDepartment of Laboratory MedicineUniversity Hospital of PisaPisaItaly
| | - Emma Tudini
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Eliseos J. Mucaki
- University of Western Ontario, Department of BiochemistrySchulich School of Medicine and DentistryLondonOntarioCanada
| | | | - Phillip Whiley
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Michael T. Parsons
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Kim De Leeneer
- Center for Medical GeneticsGhent University Hospitaland Cancer Research Institute Ghent (CRIG)Ghent UniversityGhentBelgium
| | | | - Marta Santamariña
- Fundación Pública Galega de Medicina Xenómica‐SERGASGrupo de Medicina Xenómica‐USC, CIBERER, IDISSantiago de CompostelaSpain
| | - Sandrine M. Caputo
- Service de GénétiqueDepartment de Biologie des TumeursInstitut CurieParisFrance
| | - Elizabeth Santana dos Santos
- Service de GénétiqueDepartment de Biologie des TumeursInstitut CurieParisFrance
- Department of oncologyCenter for Translational OncologyCancer Institute of the State of São Paulo ‐ ICESPSão PauloBrazil
- A.C.Camargo Cancer CenterSão PauloBrazil
| | - Jana Soukupova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Marketa Janatova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Petra Zemankova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Klara Lhotova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Lenka Stolarova
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | - Mariana Borecka
- Institute of Biochemistry and Experimental Oncology, First Faculty of MedicineCharles UniversityPragueCzech Republic
| | | | - Siranoush Manoukian
- Unit of Medical GeneticsDepartment of Medical Oncology and HematologyFondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale dei Tumori (INT)MilanItaly
| | - Bernardo Bonanni
- Division of Cancer Prevention and GeneticsIstituto Europeo di OncologiaMilanItaly
| | - ENIGMA Consortium
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
| | - Stacey L. Edwards
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Marinus J. Blok
- Department of Clinical GeneticsMaastricht University Medical CentreMaastrichtThe Netherlands
| | | | - Maria Rossing
- Center for Genomic MedicineCopenhagen University Hospital, RigshospitaletCopenhagenDenmark
| | - Orland Diez
- Oncogenetics GroupVall d'Hebron Institute of Oncology (VHIO)BarcelonaSpain
- Area of Clinical and Molecular GeneticsUniversity Hospital Vall d'Hebron (UHVH)BarcelonaSpain
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica‐SERGASGrupo de Medicina Xenómica‐USC, CIBERER, IDISSantiago de CompostelaSpain
| | - Kathleen B.M. Claes
- Center for Medical GeneticsGhent University Hospitaland Cancer Research Institute Ghent (CRIG)Ghent UniversityGhentBelgium
| | | | | | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic TestingDepartment of ResearchFondazione IRCCS Istituto Nazionale dei Tumori di MilanoMilanItaly
| | | | - Peter K. Rogan
- University of Western Ontario, Department of BiochemistrySchulich School of Medicine and DentistryLondonOntarioCanada
- CytoGnomix Inc.LondonOntarioCanada
| | - Maria Caligo
- Section of Molecular GeneticsDepartment of Laboratory MedicineUniversity Hospital of PisaPisaItaly
| | - Amanda B. Spurdle
- Department of Genetics and Computational BiologyQIMR Berghofer Medical Research InstituteBrisbaneAustralia
| | - Melissa A. Brown
- School of Chemistry and Molecular BiosciencesUniversity of QueenslandBrisbaneAustralia
| |
Collapse
|
20
|
Qiu J, Du Z, Liu J, Zhou Y, Liang F, Lü Q. Association between polymorphisms in estrogen metabolism genes and breast cancer development in Chinese women: A prospective case-control study. Medicine (Baltimore) 2018; 97:e13337. [PMID: 30461653 PMCID: PMC6393086 DOI: 10.1097/md.0000000000013337] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
We comprehensively identified polymorphisms in estrogen-metabolizing genes that may be associated with breast cancer initiation in Chinese women, via an ongoing prospective case-control study.An ongoing prospective case-control study of 427 female case patients diagnosed with breast cancer from August 2013 to March 2015 and 536 women (case controls) with no prior history of cancer or benign breast tumors was performed. Buccal cell specimens were obtained using the cotton swabbing method. DNA was extracted from the buccal cells using the phenol/chloroform method. Genotype was carried out for 5 single nucleotide polymorphisms (rs4646903, rs1056836, rs1695, rs4970737, and rs4680) using direct sequencing.The polymorphic genotypes of glutathione S-transferase (GSTP1) (P = .044) and catechol-O-methyltransferase (COMT) (P = .008) showed significantly different distributions, while that of cytochrome P450 (CYP1B1) (P = .051) showed a slight difference in distribution between healthy women and patients with breast cancer. Individuals with homozygous variant genotypes for GSTP1 or COMT exhibited a higher risk of developing breast cancer than those with wild-type genotypes; however, for CYP1B1, the homozygous variant genotype was associated with a lower risk, and the heterozygous genotype for these 3 genes was not associated with breast cancer development.An individual's risk of breast cancer is only influenced by the specific combination of risk-associated alleles of COMT and GSTP1, despite the protective effects of the homozygous CYP1B1 genotype revealed by univariate analysis.
Collapse
Affiliation(s)
| | - Zhenggui Du
- Department of Breast Surgery
- Laboratory of Breast Disease
- Laboratory of Pathology, West China Hospital, Sichuan University
| | - Jingping Liu
- Sichuan Provincial People's Hospital, Chengdu, China
| | - Yi Zhou
- Sichuan Provincial People's Hospital, Chengdu, China
| | - Faqing Liang
- Department of Breast Surgery
- Laboratory of Breast Disease
| | - Qing Lü
- Department of Breast Surgery
- Laboratory of Breast Disease
| |
Collapse
|
21
|
Huang JP, Lin J, Tzen CY, Huang WY, Tsai CC, Chen CJ, Lu YJ, Chou KF, Su YW. FANCA D1359Y mutation in a patient with gastric polyposis and cancer susceptibility: A case report and review of literature. World J Gastroenterol 2018; 24:4412-4418. [PMID: 30344425 PMCID: PMC6189845 DOI: 10.3748/wjg.v24.i38.4412] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 08/02/2018] [Accepted: 08/24/2018] [Indexed: 02/06/2023] Open
Abstract
Gastric polyposis is a rare disease. Not all polyps progress to cancer. Monoallelic mutation in Fanconi anemia (FA) genes, unlike biallelic gene mutations that causes typical FA phenotype, can increase risks of cancers in a sporadic manner. Aberrations in the FA pathway were reported in all molecular subtypes of gastric cancer. We studied a patient with synchronous gastric cancer from gastric polyposis by conducting a 13-year long-term follow up. Via pathway-driven massive parallel genomic sequencing, a germline mutation at FANCA D1359Y was identified. We identified several recurrent mutations in DNA methylation (TET1, V873I), the β-catenin pathway (CTNNB1, S45F) and RHO signaling pathway (PLEKHG5, R203C) by comparing the genetic events between benign and malignant gastric polyps. Furthermore, we revealed gastric polyposis susceptible genes and genetic events promoting malignant transformation using pathway-driven targeted gene sequencing.
Collapse
Affiliation(s)
- Jeffrey Peng Huang
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei 10491, Taiwan
| | - Johnson Lin
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei 10491, Taiwan
| | - Chi-Yuan Tzen
- Department of Pathology, Mackay Memorial Hospital, Taipei 10491, Taiwan
| | - Wen-Yu Huang
- Laboratory of Good Clinical Research Center, Mackay Memorial Hospital, Tamsui Branch, New Taipei City 25160, Taiwan
| | - Chia-Chi Tsai
- Department of General Surgery, Mackay Memorial Hospital, Taipei 10491, Taiwan
| | - Chih-Jen Chen
- Division of Gastroenterology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei 10491, Taiwan
| | - Yen-Jung Lu
- ACT Genomics Co., Ltd., Taipei 11494, Taiwan
| | - Kuei-Fang Chou
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei 10491, Taiwan
| | - Ying-Wen Su
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei 10491, Taiwan
| |
Collapse
|
22
|
Sokolenko AP, Imyanitov EN. Molecular Diagnostics in Clinical Oncology. Front Mol Biosci 2018; 5:76. [PMID: 30211169 PMCID: PMC6119963 DOI: 10.3389/fmolb.2018.00076] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 07/25/2018] [Indexed: 12/12/2022] Open
Abstract
There are multiple applications of molecular tests in clinical oncology. Mutation analysis is now routinely utilized for the diagnosis of hereditary cancer syndromes. Healthy carriers of cancer-predisposing mutations benefit from tight medical surveillance and various preventive interventions. Cancers caused by germ-line mutations often require significant modification of the treatment strategy. Personalized selection of cancer drugs based on the presence of actionable mutations has become an integral part of cancer therapy. Molecular tests underlie the administration of EGFR, BRAF, ALK, ROS1, PARP inhibitors as well as the use of some other cytotoxic and targeted drugs. Tumors almost always shed their fragments (single cells or their clusters, DNA, RNA, proteins) into various body fluids. So-called liquid biopsy, i.e., the analysis of circulating DNA or some other tumor-derived molecules, holds a great promise for non-invasive monitoring of cancer disease, analysis of drug-sensitizing mutations and early cancer detection. Some tumor- or tissue-specific mutations and expression markers can be efficiently utilized for the diagnosis of cancers of unknown primary origin (CUPs). Systematic cataloging of tumor molecular portraits is likely to uncover a multitude of novel medically relevant DNA- and RNA-based markers.
Collapse
Affiliation(s)
- Anna P Sokolenko
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St. Petersburg, Russia.,Department of Medical Genetics, St. Petersburg Pediatric Medical University, St. Petersburg, Russia
| | - Evgeny N Imyanitov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St. Petersburg, Russia.,Department of Medical Genetics, St. Petersburg Pediatric Medical University, St. Petersburg, Russia.,Department of Oncology, I.I. Mechnikov North-Western Medical University, St. Petersburg, Russia.,Department of Oncology, St. Petersburg State University, St. Petersburg, Russia
| |
Collapse
|
23
|
Podralska M, Ziółkowska-Suchanek I, Żurawek M, Dzikiewicz-Krawczyk A, Słomski R, Nowak J, Stembalska A, Pesz K, Mosor M. Genetic variants in ATM, H2AFX and MRE11 genes and susceptibility to breast cancer in the polish population. BMC Cancer 2018; 18:452. [PMID: 29678143 PMCID: PMC5910560 DOI: 10.1186/s12885-018-4360-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 04/11/2018] [Indexed: 11/10/2022] Open
Abstract
Background DNA damage repair is a complex process, which can trigger the development of cancer if disturbed. In this study, we hypothesize a role of variants in the ATM, H2AFX and MRE11 genes in determining breast cancer (BC) susceptibility. Methods We examined the whole sequence of the ATM kinase domain and estimated the frequency of founder mutations in the ATM gene (c.5932G > T, c.6095G > A, and c.7630-2A > C) and single nucleotide polymorphisms (SNPs) in H2AFX (rs643788, rs8551, rs7759, and rs2509049) and MRE11 (rs1061956 and rs2155209) among 315 breast cancer patients and 515 controls. The analysis was performed using high-resolution melting for new variants and the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method for recurrent ATM mutations. H2AFX and MRE11 polymorphisms were analyzed using TaqMan assays. The cumulative genetic risk scores (CGRS) were calculated using unweighted and weighted approaches. Results We identified four mutations (c.6067G > A, c.8314G > A, c.8187A > T, and c.6095G > A) in the ATM gene in three BC cases and two control subjects. We observed a statistically significant association of H2AFX variants with BC. Risk alleles (the G of rs7759 and the T of rs8551 and rs2509049) were observed more frequently in BC cases compared to the control group, with P values, odds ratios (OR) and 95% confidence intervals (CIs) of 0.0018, 1.47 (1.19 to 1.82); 0.018, 1.33 (1.09 to 1.64); and 0.024, 1.3 (1.06 to 1.59), respectively. Haplotype-based tests identified a significant association of the H2AFX CACT haplotype with BC (P < 0.0001, OR = 27.29, 95% CI 3.56 to 209.5). The risk of BC increased with the growing number of risk alleles. The OR (95% CI) for carriers of ≥ four risk alleles was 1.71 (1.11 to 2.62) for the CGRS. Conclusions This study confirms that H2AFX variants are associated with an increased risk of BC. The above-reported sequence variants of MRE11 genes may not constitute a risk factor of breast cancer in the Polish population. The contribution of mutations detected in the ATM gene to the development of breast cancer needs further detailed study.
Collapse
Affiliation(s)
- Marta Podralska
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
| | | | - Magdalena Żurawek
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | | | - Ryszard Słomski
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.,University of Life Sciences of Poznan, Poznan, Poland
| | - Jerzy Nowak
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | | | - Karolina Pesz
- Department of Genetics, Wrocław Medical University, Wroclaw, Poland
| | - Maria Mosor
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| |
Collapse
|
24
|
Riahi A, Radmanesh H, Schürmann P, Bogdanova N, Geffers R, Meddeb R, Kharrat M, Dörk T. Exome sequencing and case-control analyses identify RCC1 as a candidate breast cancer susceptibility gene. Int J Cancer 2018; 142:2512-2517. [PMID: 29363114 DOI: 10.1002/ijc.31273] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 11/29/2017] [Accepted: 01/05/2018] [Indexed: 01/03/2023]
Abstract
Breast cancer is a genetic disease but the known genes explain a minority of cases. To elucidate the molecular basis of breast cancer in the Tunisian population, we performed exome sequencing on six BRCA1/BRCA2 mutation-negative patients with familial breast cancer and identified a novel frameshift mutation in RCC1, encoding the Regulator of Chromosome Condensation 1. Subsequent genotyping detected the 19-bp deletion in additional 5 out of 153 (3%) breast cancer patients but in none of 400 female controls (p = 0.0015). The deletion was enriched in patients with a positive family history (5%, p = 0.0009) and co-segregated with breast cancer in the initial pedigree. The mutant allele was lost in 4/6 breast tumors from mutation carriers which may be consistent with the hypothesis that RCC1 dysfunction provides a selective disadvantage at the stage of tumor progression. In summary, we propose RCC1 as a likely breast cancer susceptibility gene in the Tunisian population.
Collapse
Affiliation(s)
- Aouatef Riahi
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany.,Laboratoire Génétique Humaine, Faculté de Médecine de Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Hoda Radmanesh
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany.,Medical Genetic Research Center (MGRC), School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Peter Schürmann
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Natalia Bogdanova
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany.,Hannover Medical School, Radiation Oncology Research Unit, Hannover, Germany
| | - Robert Geffers
- Genome Analytics Unit, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Rym Meddeb
- Laboratoire Génétique Humaine, Faculté de Médecine de Tunis, University Tunis El Manar, Tunis, Tunisia.,Department of Hereditary and Congenital Disorders, Charles Nicolle Hospital, Tunis, Tunisia
| | - Maher Kharrat
- Laboratoire Génétique Humaine, Faculté de Médecine de Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| |
Collapse
|
25
|
Li N, Rowley SM, Thompson ER, McInerny S, Devereux L, Amarasinghe KC, Zethoven M, Lupat R, Goode D, Li J, Trainer AH, Gorringe KL, James PA, Campbell IG. Evaluating the breast cancer predisposition role of rare variants in genes associated with low-penetrance breast cancer risk SNPs. Breast Cancer Res 2018; 20:3. [PMID: 29316957 PMCID: PMC5761188 DOI: 10.1186/s13058-017-0929-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 12/20/2017] [Indexed: 12/30/2022] Open
Abstract
Background Genome-wide association studies (GWASs) have identified numerous single-nucleotide polymorphisms (SNPs) associated with small increases in breast cancer risk. Studies to date suggest that some SNPs alter the expression of the associated genes, which potentially mediates risk modification. On this basis, we hypothesised that some of these genes may be enriched for rare coding variants associated with a higher breast cancer risk. Methods The coding regions and exon-intron boundaries of 56 genes that have either been proposed by GWASs to be the regulatory targets of the SNPs and/or located < 500 kb from the risk SNPs were sequenced in index cases from 1043 familial breast cancer families that previously had negative test results for BRCA1 and BRCA2 mutations and 944 population-matched cancer-free control participants from an Australian population. Rare (minor allele frequency ≤ 0.001 in the Exome Aggregation Consortium and Exome Variant Server databases) loss-of-function (LoF) and missense variants were studied. Results LoF variants were rare in both the cases and control participants across all the candidate genes, with only 38 different LoF variants observed in a total of 39 carriers. For the majority of genes (n = 36), no LoF variants were detected in either the case or control cohorts. No individual gene showed a significant excess of LoF or missense variants in the cases compared with control participants. Among all candidate genes as a group, the total number of carriers with LoF variants was higher in the cases than in the control participants (26 cases and 13 control participants), as was the total number of carriers with missense variants (406 versus 353), but neither reached statistical significance (p = 0.077 and p = 0.512, respectively). The genes contributing most of the excess of LoF variants in the cases included TET2, NRIP1, RAD51B and SNX32 (12 cases versus 2 control participants), whereas ZNF283 and CASP8 contributed largely to the excess of missense variants (25 cases versus 8 control participants). Conclusions Our data suggest that rare LoF and missense variants in genes associated with low-penetrance breast cancer risk SNPs may contribute some additional risk, but as a group these genes are unlikely to be major contributors to breast cancer heritability. Electronic supplementary material The online version of this article (doi:10.1186/s13058-017-0929-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Na Li
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia
| | - Ella R Thompson
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Lisa Devereux
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,LifePool, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Kaushalya C Amarasinghe
- Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Magnus Zethoven
- Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Richard Lupat
- Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - David Goode
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Bioinformatics Core Facility, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Jason Li
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Alison H Trainer
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Kylie L Gorringe
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia.,Cancer Genomics Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Paul A James
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia. .,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia. .,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia.
| |
Collapse
|
26
|
Siraj AK, Masoodi T, Bu R, Parvathareddy SK, Al-Badawi IA, Al-Sanea N, Ashari LH, Abduljabbar A, Alhomoud S, Al-Sobhi SS, Tulbah A, Ajarim D, Alzoman K, Aljuboury M, Yousef HB, Al-Dawish M, Al-Dayel F, Alkuraya FS, Al-Kuraya KS. Expanding the spectrum of germline variants in cancer. Hum Genet 2017; 136:1431-1444. [DOI: 10.1007/s00439-017-1845-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 09/24/2017] [Indexed: 02/07/2023]
|
27
|
Bogdanova N, Pfeifer K, Schürmann P, Antonenkova N, Siggelkow W, Christiansen H, Hillemanns P, Park-Simon TW, Dörk T. Analysis of a RECQL splicing mutation, c.1667_1667+3delAGTA, in breast cancer patients and controls from Central Europe. Fam Cancer 2017; 16:181-186. [PMID: 27832498 DOI: 10.1007/s10689-016-9944-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
RECQL is a DNA helicase required for genomic stability. Two studies have recently identified RECQL as a novel breast cancer susceptibility gene. The most common RECQL mutation, the 4 bp-deletion c.1667_1667+3delAGTA, was five-fold enriched in Polish breast cancer patients, but the exact magnitude of the risk is uncertain. We investigated two hospital-based breast cancer case-control series from Belarus and Germany, respectively, comprising a total of 2596 breast cancer patients and 2132 healthy females. The mutation was found in 9 cases and 6 controls, with an adjusted Odds Ratio 1.23 (95% CI 0.44-3.47; p = 0.69) in the combined analysis. Among the cases, heterozygosity for c.1667_1667+3delAGTA was linked with estrogen-receptor positive breast cancer. There was no significant difference in age at diagnosis between carriers and non-carriers, and only one of the carriers reported a first-degree family history. Meta-analysis with the initial study from Poland suggests an about two-fold increase in risk for this mutation (OR 2.51; 95% CI 1.13-5.57, p = 0.02). Altogether, the data indicate that RECQL* c.1667_1667+3delAGTA is not a high-risk mutation for breast cancer though it could represent a moderate-risk breast cancer susceptibility allele. Further studies will be required to determine the clinical significance of testing for this RECQL mutation.
Collapse
Affiliation(s)
- Natalia Bogdanova
- Clinics of Obstetrics and Gynaecology, Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Katja Pfeifer
- Clinics of Obstetrics and Gynaecology, Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Peter Schürmann
- Clinics of Obstetrics and Gynaecology, Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Natalia Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | | | - Hans Christiansen
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Peter Hillemanns
- Clinics of Obstetrics and Gynaecology, Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Tjoung-Won Park-Simon
- Clinics of Obstetrics and Gynaecology, Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Thilo Dörk
- Clinics of Obstetrics and Gynaecology, Gynaecology Research Unit, Hannover Medical School, Hannover, Germany.
| |
Collapse
|
28
|
Wang W, Xu ZZ, Costanzo M, Boone C, Lange CA, Myers CL. Pathway-based discovery of genetic interactions in breast cancer. PLoS Genet 2017; 13:e1006973. [PMID: 28957314 PMCID: PMC5619706 DOI: 10.1371/journal.pgen.1006973] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 08/10/2017] [Indexed: 01/22/2023] Open
Abstract
Breast cancer is the second largest cause of cancer death among U.S. women and the leading cause of cancer death among women worldwide. Genome-wide association studies (GWAS) have identified several genetic variants associated with susceptibility to breast cancer, but these still explain less than half of the estimated genetic contribution to the disease. Combinations of variants (i.e. genetic interactions) may play an important role in breast cancer susceptibility. However, due to a lack of statistical power, the current tests for genetic interactions from GWAS data mainly leverage prior knowledge to focus on small sets of genes or SNPs that are known to have an association with breast cancer. Thus, many genetic interactions, particularly among novel variants, remain understudied. Reverse-genetic interaction screens in model organisms have shown that genetic interactions frequently cluster into highly structured motifs, where members of the same pathway share similar patterns of genetic interactions. Based on this key observation, we recently developed a method called BridGE to search for such structured motifs in genetic networks derived from GWAS studies and identify pathway-level genetic interactions in human populations. We applied BridGE to six independent breast cancer cohorts and identified significant pathway-level interactions in five cohorts. Joint analysis across all five cohorts revealed a high confidence consensus set of genetic interactions with support in multiple cohorts. The discovered interactions implicated the glutathione conjugation, vitamin D receptor, purine metabolism, mitotic prometaphase, and steroid hormone biosynthesis pathways as major modifiers of breast cancer risk. Notably, while many of the pathways identified by BridGE show clear relevance to breast cancer, variants in these pathways had not been previously discovered by traditional single variant association tests, or single pathway enrichment analysis that does not consider SNP-SNP interactions.
Collapse
Affiliation(s)
- Wen Wang
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States of America
| | - Zack Z. Xu
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States of America
- HealthPartners Institute, Minneapolis, MN, United States of America
| | | | - Charles Boone
- Donnelly Centre, University of Toronto, Toronto, ON, Canada
| | - Carol A. Lange
- Departments of Medicine and Pharmacology, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States of America
| | - Chad L. Myers
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States of America
| |
Collapse
|
29
|
Preobrazhenskaya EV, Bizin IV, Kuligina ES, Shleykina AY, Suspitsin EN, Zaytseva OA, Anisimova EI, Laptiev SA, Gorodnova TV, Belyaev AM, Imyanitov EN, Sokolenko AP. Detection of BRCA1 gross rearrangements by droplet digital PCR. Breast Cancer Res Treat 2017; 165:765-770. [PMID: 28656489 DOI: 10.1007/s10549-017-4357-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 06/23/2017] [Indexed: 11/28/2022]
Abstract
PURPOSE Large genomic rearrangements (LGRs) constitute a significant share of pathogenic BRCA1 mutations. Multiplex ligation-dependent probe amplification (MLPA) is a leading method for LGR detection; however, it is entirely based on the use of commercial kits, includes relatively time-consuming hybridization step, and is not convenient for large-scale screening of recurrent LGRs. MATERIALS AND METHODS We developed and validated the droplet digital PCR (ddPCR) assay, which covers the entire coding region of BRCA1 gene and is capable to precisely quantitate the copy number for each exon. RESULTS 141 breast cancer (BC) patients, who demonstrated evident clinical features of hereditary BC but turned out to be negative for founder BRCA1/2 mutations, were subjected to the LGR analysis. Four patients with LGR were identified, with three cases of exon 8 deletion and one women carrying the deletion of exons 5-7. Excellent concordance with MLPA test was observed. Exon 8 copy number was tested in additional 720 BC and 184 ovarian cancer (OC) high-risk patients, and another four cases with the deletion were revealed; MLPA re-analysis demonstrated that exon 8 loss was a part of a larger genetic alteration in two cases, while the remaining two patients had isolated defect of exon 8. Long-range PCR and next generation sequencing of DNA samples carrying exon 8 deletion revealed two types of recurrent LGRs. CONCLUSION Droplet digital PCR is a reliable tool for the detection of large genomic rearrangements.
Collapse
Affiliation(s)
| | - Ilya V Bizin
- Peter the Great St.-Petersburg Polytechnic University, St.-Petersburg, Russia
| | | | | | - Evgeny N Suspitsin
- N.N. Petrov Institute of Oncology, St.-Petersburg, Russia.,St.-Petersburg State Pediatric Medical University, St.-Petersburg, Russia
| | | | | | - Sergey A Laptiev
- Pavlov First St.-Petersburg State Medical University, St.-Petersburg, Russia
| | | | | | - Evgeny N Imyanitov
- N.N. Petrov Institute of Oncology, St.-Petersburg, Russia.,St.-Petersburg State Pediatric Medical University, St.-Petersburg, Russia.,Pavlov First St.-Petersburg State Medical University, St.-Petersburg, Russia.,I.I. Mechnikov North-Western Medical University, St.-Petersburg, Russia
| | - Anna P Sokolenko
- N.N. Petrov Institute of Oncology, St.-Petersburg, Russia. .,St.-Petersburg State Pediatric Medical University, St.-Petersburg, Russia. .,Laboratory of Molecular Oncology, N.N. Petrov Institute of Oncology, Pesochny-2, St.-Petersburg, Russia, 197758.
| |
Collapse
|
30
|
Cuzick J, Brentnall AR, Segal C, Byers H, Reuter C, Detre S, Lopez-Knowles E, Sestak I, Howell A, Powles TJ, Newman WG, Dowsett M. Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials. J Clin Oncol 2017; 35:743-750. [PMID: 28029312 PMCID: PMC5455424 DOI: 10.1200/jco.2016.69.8944] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Purpose At least 94 common single nucleotide polymorphisms (SNPs) are associated with breast cancer. The extent to which an SNP panel can refine risk in women who receive preventive therapy has not been directly assessed previously. Materials and Methods A risk score on the basis of 88 SNPs (SNP88) was investigated in a nested case-control study of women enrolled in the International Breast Intervention Study (IBIS-I) or the Royal Marsden study. A total of 359 women who developed cancer were matched to 636 controls by age, trial, follow-up time, and treatment arm. Genotyping was done using the OncoArray. Conditional logistic regression and matched concordance indices (mC) were used to measure the performance of SNP88 alone and with other breast cancer risk factors assessed using the Tyrer-Cuzick (TC) model. Results SNP88 was predictive of breast cancer risk overall (interquartile range odds ratio [IQ-OR], 1.37; 95% CI, 1.14 to 1.66; mC, 0.55), but mainly for estrogen receptor-positive disease (IQ-OR, 1.44; 95% CI, 1.16 to 1.79; P for heterogeneity = .10) versus estrogen receptor-negative disease. However, the observed risk of SNP88 was only 46% (95% CI, 19% to 74%) of expected. No significant interaction was observed with treatment arm (placebo IQ-OR, 1.46; 95% CI, 1.13 to 1.87; tamoxifen IQ-OR, 1.25; 95% CI, 0.96 to 1.64; P for heterogeneity = .5). The predictive power was similar to the TC model (IQ-OR, 1.45; 95% CI, 1.21 to 1.73; mC, 0.55), but SNP88 was independent of TC (Spearman rank-order correlation, 0.012; P = .7), and when combined multiplicatively, a substantial improvement was seen (IQ-OR, 1.64; 95% CI, 1.36 to 1.97; mC, 0.60). Conclusion A polygenic risk score may be used to refine risk from the TC or similar models in women who are at an elevated risk of breast cancer and considering preventive therapy. Recalibration may be necessary for accurate risk assessment.
Collapse
Affiliation(s)
- Jack Cuzick
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Adam R. Brentnall
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Corrinne Segal
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Helen Byers
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Caroline Reuter
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Simone Detre
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Elena Lopez-Knowles
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Ivana Sestak
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Anthony Howell
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Trevor J. Powles
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - William G. Newman
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Mitchell Dowsett
- Jack Cuzick, Adam R. Brentnall, Caroline Reuter, and Ivana Sestak, Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London; Corrinne Segal, The Institute of Cancer Research; Corrinne Segal, Simone Detre, Elena Lopez-Knowles, and Mitchell Dowsett, Royal Marsden Hospital; Trevor J. Powles, Cancer Centre London, London; Helen Byers and William G. Newman, University of Manchester and Central Manchester Foundation Trust; and Anthony Howell, The Christie NHS Foundation Trust, Manchester, United Kingdom
| |
Collapse
|
31
|
Buys SS, Sandbach JF, Gammon A, Patel G, Kidd J, Brown KL, Sharma L, Saam J, Lancaster J, Daly MB. A study of over 35,000 women with breast cancer tested with a 25-gene panel of hereditary cancer genes. Cancer 2017; 123:1721-1730. [DOI: 10.1002/cncr.30498] [Citation(s) in RCA: 249] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 10/17/2016] [Accepted: 11/17/2016] [Indexed: 01/26/2023]
Affiliation(s)
- Saundra S. Buys
- University of Utah School of Medicine, Department of Internal Medicine and Huntsman Cancer Institute; Salt Lake City Utah
| | | | - Amanda Gammon
- University of Utah School of Medicine, Department of Internal Medicine and Huntsman Cancer Institute; Salt Lake City Utah
| | | | - John Kidd
- Myriad Genetics, Inc; Salt Lake City Utah
| | | | | | | | | | - Mary B. Daly
- Fox Chase Cancer Center; Philadelphia Pennsylvania
| |
Collapse
|
32
|
Kumar A, Purohit S, Sharma NK. Aberrant DNA Double-strand Break Repair Threads in Breast Carcinoma: Orchestrating Genomic Insult Survival. J Cancer Prev 2016; 21:227-234. [PMID: 28053956 PMCID: PMC5207606 DOI: 10.15430/jcp.2016.21.4.227] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 11/01/2016] [Accepted: 11/06/2016] [Indexed: 12/15/2022] Open
Abstract
Breast carcinoma is a heterogeneous disease that has exhibited rapid resistance to treatment in the last decade. Depending genotype and phenotype of breast cancer, there are discernible differences in DNA repair protein responses including DNA double strand break repair. It is a fact that different molecular sub-types of breast carcinoma activate these dedicated protein pathways in a distinct manner. The DNA double-strand damage repair machinery is manipulated by breast carcinoma to selectively repair the damage or insults inflicted by the genotoxic effects of chemotherapy or radiation therapy. The two DNA double-strand break repair pathways employed by breast carcinoma are homologous recombination and non-homologous end joining. In recent decades, therapeutic interventions targeting one or more factors involved in repairing DNA double-strand breaks inflicted by chemo/radiation therapy have been widely studied. Herein, this review paper summarizes the recent evidence and ongoing clinical trials citing potential therapeutic combinatorial interventions targeting DNA double-strand break repair pathways in breast carcinoma.
Collapse
Affiliation(s)
- Azad Kumar
- Cancer and Translational Research Lab, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India
| | - Shruti Purohit
- Cancer and Translational Research Lab, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India
| | - Nilesh Kumar Sharma
- Cancer and Translational Research Lab, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India
| |
Collapse
|
33
|
Krishnan P, Ghosh S, Wang B, Heyns M, Graham K, Mackey JR, Kovalchuk O, Damaraju S. Profiling of Small Nucleolar RNAs by Next Generation Sequencing: Potential New Players for Breast Cancer Prognosis. PLoS One 2016; 11:e0162622. [PMID: 27631501 PMCID: PMC5025248 DOI: 10.1371/journal.pone.0162622] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 08/25/2016] [Indexed: 01/09/2023] Open
Abstract
One of the most abundant, yet least explored, classes of RNA is the small nucleolar RNAs (snoRNAs), which are well known for their involvement in post-transcriptional modifications of other RNAs. Although snoRNAs were only considered to perform housekeeping functions for a long time, recent studies have highlighted their importance as regulators of gene expression and as diagnostic/prognostic markers. However, the prognostic potential of these RNAs has not been interrogated for breast cancer (BC). The objective of the current study was to identify snoRNAs as prognostic markers for BC. Small RNA sequencing (Illumina Genome Analyzer IIx) was performed for 104 BC cases and 11 normal breast tissues. Partek Genomics Suite was used for analyzing the sequencing files. Two independent and proven approaches were used to identify prognostic markers: case-control (CC) and case-only (CO). For both approaches, snoRNAs significant in the permutation test, following univariate Cox proportional hazards regression model were used for constructing risk scores. Risk scores were subsequently adjusted for potential confounders in a multivariate Cox model. For both approaches, thirteen snoRNAs were associated with overall survival and/or recurrence free survival. Patients belonging to the high-risk group were associated with poor outcomes, and the risk score was significant after adjusting for confounders. Validation of representative snoRNAs (SNORD46 and SNORD89) using qRT-PCR confirmed the observations from sequencing experiments. We also observed 64 snoRNAs harboring piwi-interacting RNAs and/or microRNAs that were predicted to target genes (mRNAs) involved in tumorigenesis. Our results demonstrate the potential of snoRNAs to serve (i) as novel prognostic markers for BC and (ii) as indirect regulators of gene expression.
Collapse
Affiliation(s)
- Preethi Krishnan
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Sunita Ghosh
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.,Cross Cancer Institute, Alberta Health Services, Edmonton, Alberta, Canada
| | - Bo Wang
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
| | - Mieke Heyns
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
| | - Kathryn Graham
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.,Cross Cancer Institute, Alberta Health Services, Edmonton, Alberta, Canada
| | - John R Mackey
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.,Cross Cancer Institute, Alberta Health Services, Edmonton, Alberta, Canada
| | - Olga Kovalchuk
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada
| | - Sambasivarao Damaraju
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.,Cross Cancer Institute, Alberta Health Services, Edmonton, Alberta, Canada
| |
Collapse
|
34
|
Maleva Kostovska I, Wang J, Bogdanova N, Schürmann P, Bhuju S, Geffers R, Dürst M, Liebrich C, Klapdor R, Christiansen H, Park-Simon TW, Hillemanns P, Plaseska-Karanfilska D, Dörk T. Rare ATAD5 missense variants in breast and ovarian cancer patients. Cancer Lett 2016; 376:173-7. [PMID: 27045477 DOI: 10.1016/j.canlet.2016.03.048] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 03/29/2016] [Accepted: 03/30/2016] [Indexed: 12/12/2022]
Abstract
ATAD5/ELG1 is a protein crucially involved in replication and maintenance of genome stability. ATAD5 has recently been identified as a genomic risk locus for both breast and ovarian cancer through genome-wide association studies. We aimed to investigate the spectrum of coding ATAD5 germ-line mutations in hospital-based series of patients with triple-negative breast cancer or serous ovarian cancer compared with healthy controls. The ATAD5 coding and adjacent splice site regions were analyzed by targeted next-generation sequencing of DNA samples from 273 cancer patients, including 114 patients with triple-negative breast cancer and 159 patients with serous epithelial ovarian cancer, and from 276 healthy females. Among 42 different variants identified, twenty-two were rare missense substitutions, of which 14 were classified as pathogenic by at least one in silico prediction tool. Three of four novel missense substitutions (p.S354I, p.H974R and p.K1466N) were predicted to be pathogenic and were all identified in ovarian cancer patients. Overall, rare missense variants with predicted pathogenicity tended to be enriched in ovarian cancer patients (14/159) versus controls (11/276) (p = 0.05, 2df). While truncating germ-line variants in ATAD5 were not detected, it remains possible that several rare missense variants contribute to genetic susceptibility toward epithelial ovarian carcinomas.
Collapse
Affiliation(s)
- Ivana Maleva Kostovska
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany; Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, Macedonia
| | - Jing Wang
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Natalia Bogdanova
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany; Clinics of Radiation Oncology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Peter Schürmann
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Sabin Bhuju
- Genome Analytics Group, Helmholtz Center for Infectious Diseases, Inhoffenstraße 7, D-38124 Braunschweig, Germany
| | - Robert Geffers
- Genome Analytics Group, Helmholtz Center for Infectious Diseases, Inhoffenstraße 7, D-38124 Braunschweig, Germany
| | - Matthias Dürst
- Department of Gynecology, Jena University Hospital - Friedrich Schiller University Jena, Bachstraße 18, D-07743 Jena, Germany
| | - Clemens Liebrich
- Clinics of Obstetrics and Gynecology, Sauerbruchstraße 7, D-38440 Wolfsburg, Germany
| | - Rüdiger Klapdor
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Hans Christiansen
- Clinics of Radiation Oncology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Tjoung-Won Park-Simon
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Peter Hillemanns
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, Macedonia
| | - Thilo Dörk
- Clinics of Obstetrics and Gynecology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany.
| |
Collapse
|
35
|
Smyth C, Špakulová I, Cotton-Barratt O, Rafiq S, Tapper W, Upstill-Goddard R, Hopper JL, Makalic E, Schmidt DF, Kapuscinski M, Fliege J, Collins A, Brodzki J, Eccles DM, MacArthur BD. Quantifying the cumulative effect of low-penetrance genetic variants on breast cancer risk. Mol Genet Genomic Med 2015; 3:182-8. [PMID: 26029704 PMCID: PMC4444159 DOI: 10.1002/mgg3.129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 11/28/2014] [Accepted: 12/04/2014] [Indexed: 11/24/2022] Open
Abstract
Many common diseases have a complex genetic basis in which large numbers of genetic variations combine with environmental factors to determine risk. However, quantifying such polygenic effects has been challenging. In order to address these difficulties we developed a global measure of the information content of an individual's genome relative to a reference population, which may be used to assess differences in global genome structure between cases and appropriate controls. Informally this measure, which we call relative genome information (RGI), quantifies the relative "disorder" of an individual's genome. In order to test its ability to predict disease risk we used RGI to compare single-nucleotide polymorphism genotypes from two independent samples of women with early-onset breast cancer with three independent sets of controls. We found that RGI was significantly elevated in both sets of breast cancer cases in comparison with all three sets of controls, with disease risk rising sharply with RGI. Furthermore, these differences are not due to associations with common variants at a small number of disease-associated loci, but rather are due to the combined associations of thousands of markers distributed throughout the genome. Our results indicate that the information content of an individual's genome may be used to measure the risk of a complex disease, and suggest that early-onset breast cancer has a strongly polygenic component.
Collapse
Affiliation(s)
- Conor Smyth
- Mathematical Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom
| | - Iva Špakulová
- Mathematical Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom
| | - Owen Cotton-Barratt
- Mathematical Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom
| | - Sajjad Rafiq
- Cancer Sciences Academic Unit and University of Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton Foundation Trust Tremona Road, Southampton, SO16 6YA, United Kingdom
| | - William Tapper
- Human Genetics, Faculty of Medicine, University of Southampton Tremona Road, Southampton, SO16 6YA, United Kingdom
| | - Rosanna Upstill-Goddard
- Human Genetics, Faculty of Medicine, University of Southampton Tremona Road, Southampton, SO16 6YA, United Kingdom
| | - John L Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population and Global Health, The University of Melbourne Carlton, Victoria, Australia
| | - Enes Makalic
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population and Global Health, The University of Melbourne Carlton, Victoria, Australia
| | - Daniel F Schmidt
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population and Global Health, The University of Melbourne Carlton, Victoria, Australia
| | - Miroslav Kapuscinski
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population and Global Health, The University of Melbourne Carlton, Victoria, Australia
| | - Jörg Fliege
- Mathematical Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom
| | - Andrew Collins
- Human Genetics, Faculty of Medicine, University of Southampton Tremona Road, Southampton, SO16 6YA, United Kingdom
| | - Jacek Brodzki
- Mathematical Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom
| | - Diana M Eccles
- Cancer Sciences Academic Unit and University of Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton Foundation Trust Tremona Road, Southampton, SO16 6YA, United Kingdom
| | - Ben D MacArthur
- Mathematical Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom ; Human Development and Health, Faculty of Medicine, University of Southampton Tremona Road, Southampton, SO16 6YA, United Kingdom ; Institute for Life Sciences, University of Southampton Southampton, SO17 1BJ, United Kingdom
| |
Collapse
|
36
|
Sokolenko AP, Preobrazhenskaya EV, Aleksakhina SN, Iyevleva AG, Mitiushkina NV, Zaitseva OA, Yatsuk OS, Tiurin VI, Strelkova TN, Togo AV, Imyanitov EN. Candidate gene analysis of BRCA1/2 mutation-negative high-risk Russian breast cancer patients. Cancer Lett 2015; 359:259-61. [PMID: 25619955 DOI: 10.1016/j.canlet.2015.01.022] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 01/18/2015] [Accepted: 01/19/2015] [Indexed: 11/24/2022]
Abstract
Twenty one DNA repair genes were analyzed in a group of 95 BC patients, who displayed clinical features of hereditary disease predisposition but turned out to be negative for mutations in BRCA1 and BRCA2 entire coding region as well as for founder disease-predisposing alleles in CHEK2, NBN/NBS1 and ATM genes. Full-length sequencing of CHEK2 and NBN/NBS1 failed to identify non-founder mutations. The analysis of TP53 revealed a woman carrying the R282W allele; further testing of additional 108 BC patients characterized by a very young age at onset (35 years or earlier) detected one more carrier of the TP53 germ-line defect. In addition, this study confirmed non-random occurrence of PALB2 truncating mutations in Russian hereditary BC patients. None of the studied cases carried germ-line defects in recently discovered hereditary BC genes, BRIP1, FANCC, MRE11A and RAD51C. The analysis of genes with yet unproven BC-predisposing significance (BARD1, BRD7, CHEK1, DDB2, ERCC1, EXO1, FANCG, PARP1, PARP2, RAD51, RNF8, WRN) identified single women carrying a protein-truncating allele, WRN R1406X. DNA sequencing of another set of 95 hereditary BC cases failed to reveal additional WRN heterozygous genotypes. Since WRN is functionally similar to the known BC-predisposing gene, BLM, it deserves to be analyzed in future hereditary BC studies. Furthermore, this investigation revealed a number of rare missense germ-line variants, which are classified as probably protein-damaging by online in silico tools and therefore may require further consideration.
Collapse
Affiliation(s)
- Anna P Sokolenko
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia; St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Elena V Preobrazhenskaya
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia; St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | | | - Aglaya G Iyevleva
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia; St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | | | - Olga A Zaitseva
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
| | - Olga S Yatsuk
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
| | - Vladislav I Tiurin
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia; St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | | | - Alexandr V Togo
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia; St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Evgeny N Imyanitov
- N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia; St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia; I.I. Mechnikov North-Western Medical University, St-Petersburg 191015, Russia.
| |
Collapse
|
37
|
Majeed W, Aslam B, Javed I, Khaliq T, Muhammad F, Ali A, Raza A. Breast cancer: major risk factors and recent developments in treatment. Asian Pac J Cancer Prev 2015; 15:3353-8. [PMID: 24870721 DOI: 10.7314/apjcp.2014.15.8.3353] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Breast cancer is the most common in women worldwide, with some 5-10% of all cases due to inherited mutations of BRCA1 and BRCA2 genes. Obesity, hormone therapy and use of alcohol are possible causes and over-expression of leptin in adipose tissue may also play a role. Normally surgery, radiation therapy and chemotherapy allow a good prognosis where screening measures are in place. New hope in treatment measures include adjuvant therapy, neoadjuvant therapy, and introduction of mono-clonal antibodies and enzyme inhibitors.
Collapse
Affiliation(s)
- Wafa Majeed
- Department of Physiology and Pharmacology, Veterinary Science, University of Agriculture, Faisalabad, Pakistan E-mail :
| | | | | | | | | | | | | |
Collapse
|
38
|
Patrono C, Sterpone S, Testa A, Cozzi R. Polymorphisms in base excision repair genes: Breast cancer risk and individual radiosensitivity. World J Clin Oncol 2014; 5:874-882. [PMID: 25493225 PMCID: PMC4259949 DOI: 10.5306/wjco.v5.i5.874] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2013] [Revised: 04/03/2014] [Accepted: 04/17/2014] [Indexed: 02/06/2023] Open
Abstract
Breast cancer (BC) is the most common cancer among women worldwide. The aetiology and carcinogenesis of BC are not clearly defined, although genetic, hormonal, lifestyle and environmental risk factors have been established. The most common treatment for BC includes breast-conserving surgery followed by a standard radiotherapy (RT) regimen. However, radiation hypersensitivity and the occurrence of RT-induced toxicity in normal tissue may affect patients’ treatment. The role of DNA repair in cancer has been extensively investigated, and an impaired DNA damage response may increase the risk of BC and individual radiosensitivity. Single nucleotide polymorphisms (SNPs) in DNA repair genes may alter protein function and modulate DNA repair efficiency, influencing the development of various cancers, including BC. SNPs in DNA repair genes have also been studied as potential predictive factors for the risk of RT-induced side effects. Here, we review the literature on the association between SNPs in base excision repair (BER) genes and BC risk. We focused on X-ray repair cross complementing group 1 (XRCC1), which plays a key role in BER, and on 8-oxoguanine DNA glycosylase 1, apurinic/apyrimidinic endonuclease 1 and poly (ADP-ribose) polymerase-1, which encode three important BER enzymes that interact with XRCC1. Although no association between SNPs and radiation toxicity has been validated thus far, we also report published studies on XRCC1 SNPs and variants in other BER genes and RT-induced side effects in BC patients, emphasising that large well-designed studies are needed to determine the genetic components of individual radiosensitivity.
Collapse
|
39
|
|
40
|
Lee S, Rahnenführer J, Lang M, De Preter K, Mestdagh P, Koster J, Versteeg R, Stallings RL, Varesio L, Asgharzadeh S, Schulte JH, Fielitz K, Schwermer M, Morik K, Schramm A. Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling. PLoS One 2014; 9:e108818. [PMID: 25295525 PMCID: PMC4190101 DOI: 10.1371/journal.pone.0108818] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2013] [Accepted: 09/05/2014] [Indexed: 01/21/2023] Open
Abstract
Identifying relevant signatures for clinical patient outcome is a fundamental task in high-throughput studies. Signatures, composed of features such as mRNAs, miRNAs, SNPs or other molecular variables, are often non-overlapping, even though they have been identified from similar experiments considering samples with the same type of disease. The lack of a consensus is mostly due to the fact that sample sizes are far smaller than the numbers of candidate features to be considered, and therefore signature selection suffers from large variation. We propose a robust signature selection method that enhances the selection stability of penalized regression algorithms for predicting survival risk. Our method is based on an aggregation of multiple, possibly unstable, signatures obtained with the preconditioned lasso algorithm applied to random (internal) subsamples of a given cohort data, where the aggregated signature is shrunken by a simple thresholding strategy. The resulting method, RS-PL, is conceptually simple and easy to apply, relying on parameters automatically tuned by cross validation. Robust signature selection using RS-PL operates within an (external) subsampling framework to estimate the selection probabilities of features in multiple trials of RS-PL. These probabilities are used for identifying reliable features to be included in a signature. Our method was evaluated on microarray data sets from neuroblastoma, lung adenocarcinoma, and breast cancer patients, extracting robust and relevant signatures for predicting survival risk. Signatures obtained by our method achieved high prediction performance and robustness, consistently over the three data sets. Genes with high selection probability in our robust signatures have been reported as cancer-relevant. The ordering of predictor coefficients associated with signatures was well-preserved across multiple trials of RS-PL, demonstrating the capability of our method for identifying a transferable consensus signature. The software is available as an R package rsig at CRAN (http://cran.r-project.org).
Collapse
Affiliation(s)
- Sangkyun Lee
- Department of Computer Sciences, TU Dortmund University, Dortmund, Germany
- * E-mail:
| | | | - Michel Lang
- Department of Statistics, TU Dortmund University, Dortmund, Germany
| | - Katleen De Preter
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Pieter Mestdagh
- Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium
| | - Jan Koster
- Department of Oncogenomics, Academic Medical Center, Amsterdam, the Netherlands
| | - Rogier Versteeg
- Department of Oncogenomics, Academic Medical Center, Amsterdam, the Netherlands
| | | | - Luigi Varesio
- Laboratory of Molecular Biology, Giannina Gaslini Institute, Genova, Italy
| | - Shahab Asgharzadeh
- Hematology/Oncology, Children's Hospital Los Angeles, Los Angeles, California, United States of America
| | - Johannes H. Schulte
- Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, Essen, Germany
- Centre for Medical Biotechnology, University Duisburg-Essen, Essen, Germany
- Translational Neuro-Oncology, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kathrin Fielitz
- Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, Essen, Germany
| | - Melanie Schwermer
- Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, Essen, Germany
| | - Katharina Morik
- Department of Computer Sciences, TU Dortmund University, Dortmund, Germany
| | - Alexander Schramm
- Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, Essen, Germany
| |
Collapse
|
41
|
Abstract
Fanconi anemia (FA) is a recessive chromosomal instability syndrome. It is a hereditary disorder with defects in DNA repair characterized by progressive bone marrow failure, variable congenital malformations and predisposition to develop hematological or solid tumors. Bi-allelic gene mutations in FA cause not only the FA phenotype but also genome instability and additional mutations in their somatic cells resulting in a high predisposition to many different types of cancers. Mono-allelic mutation in FA genes increases the susceptibility to several types of cancers in a sporadic manner in non-FA patients. The strong link between cancer from bi-allelic and mono-allelic FA gene mutations has been well established. Studies have demonstrated a link between FA and cancer due to gene defects which cause the disruption of the FA pathways in a proportion of familial and sporadic cancers. The convincing evidence is that one of the FA genes, FANCD1 is identical to the well-known breast cancer susceptibility gene, BRCA2. Another three FA genes were found to be associated with genes mutated from breast cancer and other types of cancers such as prostate cancer as well. Studies on FA's biological function in genome instability maintenance, DNA damage/repair and its complex regulation pathways have become the main focus within the genetic cancer research field because of many unique features of FA. The lessons learnt from FA studies provided invaluable information towards the understanding of cancer pathogenesis to be translated into targeting cancer therapies. Studies also demonstrated that FA is a paradigm of cancer-prone inherited monogenic disease, offering insights into the pathogenesis of many types of human diseases, particularly in bone marrow failure, cancer and aging. In this review, brief FA clinical characteristics, identification of FA genes and their protein pathways, the pathogenic linking between cancers from bi-allelic and mono-allelic mutated FA genes will be discussed.
Collapse
Affiliation(s)
- Hong Chen
- 1 Department of Internal Medicine, The First Hospital of Qiqihaer, Qiqihaer 161005, China ; 2 Department of Neonatology, Qiqihaer Hospital of the Traditional Chinese Medicine, Qiqihaer 161000, China ; 3 Western Sydney Genomic Diagnostics, Western Sydney Genetics Program, The Children's Hospital at Westmead, 2145, NSW, Australia
| | - Shuxia Zhang
- 1 Department of Internal Medicine, The First Hospital of Qiqihaer, Qiqihaer 161005, China ; 2 Department of Neonatology, Qiqihaer Hospital of the Traditional Chinese Medicine, Qiqihaer 161000, China ; 3 Western Sydney Genomic Diagnostics, Western Sydney Genetics Program, The Children's Hospital at Westmead, 2145, NSW, Australia
| | - Zhanhe Wu
- 1 Department of Internal Medicine, The First Hospital of Qiqihaer, Qiqihaer 161005, China ; 2 Department of Neonatology, Qiqihaer Hospital of the Traditional Chinese Medicine, Qiqihaer 161000, China ; 3 Western Sydney Genomic Diagnostics, Western Sydney Genetics Program, The Children's Hospital at Westmead, 2145, NSW, Australia
| |
Collapse
|
42
|
Schröder-Heurich B, Bogdanova N, Wieland B, Xie X, Noskowicz M, Park-Simon TW, Hillemanns P, Christiansen H, Dörk T. Functional deficiency of NBN, the Nijmegen breakage syndrome protein, in a p.R215W mutant breast cancer cell line. BMC Cancer 2014; 14:434. [PMID: 24928521 PMCID: PMC4085727 DOI: 10.1186/1471-2407-14-434] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2013] [Accepted: 05/26/2014] [Indexed: 12/17/2022] Open
Abstract
Background Mutations in NBN, the gene for Nijmegen Breakage Syndrome (NBS), are thought to predispose women to developing breast cancer, but a breast cancer cell line containing mutations in NBN has not yet been described. The p.R215W missense mutation occurs at sub-polymorphic frequencies in several populations. We aimed to investigate its functional impact in breast cancer cells from a carrier of this NBN mutation. Methods Breast cancer cell lines were screened by immunoblotting for NBN protein levels, and the NBN coding region was sequenced for mutation analysis. Radiosensitivity assays and functional studies were performed through immunocytochemistry and immunoblotting, and flow cytometry was employed to assess cell cycle progression. Impedance measurements were used to study the consequences of PARP1 inhibition. Statistical comparisons between cell lines were performed using t-tests. Results HCC1395 breast cancer cells exhibited reduced NBN protein levels. Direct sequencing identified the NBN p.R215W mutation in the hemizygous state, in addition to a truncation in BRCA1. Mutations in both genes were already present in the heterozygous state in the patient’s germline. HCC1395 cells were highly radiosensitive, susceptible to apoptosis and were deficient in the formation of NBN foci. There was also evidence for some impairment in the formation of γH2AX, MDC1, and 53BP1 foci after irradiation; these foci appeared smaller and irregular compared with repair foci in wild-type cells, although ATM signalling was largely unaffected. In line with their deficiency in NBN and BRCA1, HCC1395 cells were particularly sensitive to PARP1 inhibition. Conclusion Our results indicate that the p.R215W mutation in the HCC1395 breast cancer cell line impairs NBN function, making this cell line a potentially useful cellular model for studying defective NBN protein within a mutant BRCA1 background.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Thilo Dörk
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Carl-Neuberg Straße 1, D-30625 Hannover, Germany.
| |
Collapse
|
43
|
Chong HK, Wang T, Lu HM, Seidler S, Lu H, Keiles S, Chao EC, Stuenkel AJ, Li X, Elliott AM. The validation and clinical implementation of BRCAplus: a comprehensive high-risk breast cancer diagnostic assay. PLoS One 2014; 9:e97408. [PMID: 24830819 PMCID: PMC4022661 DOI: 10.1371/journal.pone.0097408] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Accepted: 04/02/2014] [Indexed: 12/21/2022] Open
Abstract
Breast cancer is the most commonly diagnosed cancer in women, with 10% of disease attributed to hereditary factors. Although BRCA1 and BRCA2 account for a high percentage of hereditary cases, there are more than 25 susceptibility genes that differentially impact the risk for breast cancer. Traditionally, germline testing for breast cancer was performed by Sanger dideoxy terminator sequencing in a reflexive manner, beginning with BRCA1 and BRCA2. The introduction of next-generation sequencing (NGS) has enabled the simultaneous testing of all genes implicated in breast cancer resulting in diagnostic labs offering large, comprehensive gene panels. However, some physicians prefer to only test for those genes in which established surveillance and treatment protocol exists. The NGS based BRCAplus test utilizes a custom tiled PCR based target enrichment design and bioinformatics pipeline coupled with array comparative genomic hybridization (aCGH) to identify mutations in the six high-risk genes: BRCA1, BRCA2, PTEN, TP53, CDH1, and STK11. Validation of the assay with 250 previously characterized samples resulted in 100% detection of 3,025 known variants and analytical specificity of 99.99%. Analysis of the clinical performance of the first 3,000 BRCAplus samples referred for testing revealed an average coverage greater than 9,000X per target base pair resulting in excellent specificity and the sensitivity to detect low level mosaicism and allele-drop out. The unique design of the assay enabled the detection of pathogenic mutations missed by previous testing. With the abundance of NGS diagnostic tests being released, it is essential that clinicians understand the advantages and limitations of different test designs.
Collapse
Affiliation(s)
- Hansook Kim Chong
- Department of Research and Development, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Tao Wang
- Department of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Hsiao-Mei Lu
- Department of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Sara Seidler
- Department of Research and Development, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Hong Lu
- Department of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Steven Keiles
- Department of Clinical Genetics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Elizabeth C. Chao
- Department of Clinical Genetics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - A. J. Stuenkel
- Department of Clinical Genetics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Xiang Li
- Department of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America
| | - Aaron M. Elliott
- Department of Research and Development, Ambry Genetics, Aliso Viejo, California, United States of America
- * E-mail:
| |
Collapse
|
44
|
Boyd J. Genetic predisposition to breast cancer: the next chapters. Cancer 2014; 120:932-4. [PMID: 24415404 DOI: 10.1002/cncr.28503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Accepted: 11/11/2013] [Indexed: 11/10/2022]
Affiliation(s)
- Jeff Boyd
- Cancer Genome Institute, Department of Pathology, and Cancer Biology Program, Fox Chase Cancer Center, Temple University Health System, Philadelphia, Pennsylvania
| |
Collapse
|
45
|
Kohlhase S, Bogdanova NV, Schürmann P, Bermisheva M, Khusnutdinova E, Antonenkova N, Park-Simon TW, Hillemanns P, Meyer A, Christiansen H, Schindler D, Dörk T. Mutation analysis of the ERCC4/FANCQ gene in hereditary breast cancer. PLoS One 2014; 9:e85334. [PMID: 24465539 PMCID: PMC3897449 DOI: 10.1371/journal.pone.0085334] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Accepted: 12/04/2013] [Indexed: 11/19/2022] Open
Abstract
The ERCC4 protein forms a structure-specific endonuclease involved in the DNA damage response. Different cancer syndromes such as a subtype of Xeroderma pigmentosum, XPF, and recently a subtype of Fanconi Anemia, FA-Q, have been attributed to biallelic ERCC4 gene mutations. To investigate whether monoallelic ERCC4 gene defects play some role in the inherited component of breast cancer susceptibility, we sequenced the whole ERCC4 coding region and flanking untranslated portions in a series of 101 Byelorussian and German breast cancer patients selected for familial disease (set 1, n = 63) or for the presence of the rs1800067 risk haplotype (set 2, n = 38). This study confirmed six known and one novel exonic variants, including four missense substitutions but no truncating mutation. Missense substitution p.R415Q (rs1800067), a previously postulated breast cancer susceptibility allele, was subsequently screened for in a total of 3,698 breast cancer cases and 2,868 controls from Germany, Belarus or Russia. The Gln415 allele appeared protective against breast cancer in the German series, with the strongest effect for ductal histology (OR 0.67; 95%CI 0.49; 0.92; p = 0.003), but this association was not confirmed in the other two series, with the combined analysis yielding an overall Mantel-Haenszel OR of 0.94 (95% CI 0.81; 1.08). There was no significant effect of p.R415Q on breast cancer survival in the German patient series. The other three detected ERCC4 missense mutations included two known rare variants as well as a novel substitution, p.E17V, that we identified on a p.R415Q haplotype background. The p.E17V mutation is predicted to be probably damaging but was present in just one heterozygous patient. We conclude that the contribution of ERCC4/FANCQ coding mutations to hereditary breast cancer in Central and Eastern Europe is likely to be small.
Collapse
Affiliation(s)
- Sandra Kohlhase
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Natalia V. Bogdanova
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Peter Schürmann
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Marina Bermisheva
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
- Institute of Biochemistry and Genetics, Ufa, Russia
| | | | - Natalia Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | | | - Peter Hillemanns
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Andreas Meyer
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Hans Christiansen
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Detlev Schindler
- Institute of Human Genetics, Biocenter, University of Würzburg, Würzburg, Germany
| | - Thilo Dörk
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
- * E-mail:
| |
Collapse
|