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Padmavathi P, Setlur AS, Chandrashekar K, Niranjan V. A comprehensive in-silico computational analysis of twenty cancer exome datasets and identification of associated somatic variants reveals potential molecular markers for detection of varied cancer types. INFORMATICS IN MEDICINE UNLOCKED 2021. [DOI: 10.1016/j.imu.2021.100762] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
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Clinical Applications of Next-Generation Sequencing in Cancer Diagnosis. Pathol Oncol Res 2016; 23:225-234. [PMID: 27722982 DOI: 10.1007/s12253-016-0124-z] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Accepted: 10/04/2016] [Indexed: 12/22/2022]
Abstract
With the advancement and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research fields. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is utilized to novel diagnostic and rare cancer mutations, detection of translocations, inversions, insertions and deletions, detection of copy number variants, detect familial cancer mutation carriers, provide the molecular rationale for appropriate targeted, therapeutic and prognostic. NGS holds many advantages, such as the ability to fully sequence all types of mutations for a large number of genes (hundreds to thousands) and the sensitivity, speed in a single test at a relatively low cost compared to be other sequencing modalities. Here we described the technology, methods and applications that can be immediately considered and some of the challenges that lie ahead.
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Application of Massively Parallel Sequencing in the Clinical Diagnostic Testing of Inherited Cardiac Conditions. Med Sci (Basel) 2014. [DOI: 10.3390/medsci2020098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Miller FA, Hayeems RZ, Bytautas JP, Bedard PL, Ernst S, Hirte H, Hotte S, Oza A, Razak A, Welch S, Winquist E, Dancey J, Siu LL. Testing personalized medicine: patient and physician expectations of next-generation genomic sequencing in late-stage cancer care. Eur J Hum Genet 2014; 22:391-5. [PMID: 23860039 PMCID: PMC3925281 DOI: 10.1038/ejhg.2013.158] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 06/07/2013] [Accepted: 06/21/2013] [Indexed: 11/08/2022] Open
Abstract
Developments in genomics, including next-generation sequencing technologies, are expected to enable a more personalized approach to clinical care, with improved risk stratification and treatment selection. In oncology, personalized medicine is particularly advanced and increasingly used to identify oncogenic variants in tumor tissue that predict responsiveness to specific drugs. Yet, the translational research needed to validate these technologies will be conducted in patients with late-stage cancer and is expected to produce results of variable clinical significance and incidentally identify genetic risks. To explore the experiential context in which much of personalized cancer care will be developed and evaluated, we conducted a qualitative interview study alongside a pilot feasibility study of targeted DNA sequencing of metastatic tumor biopsies in adult patients with advanced solid malignancies. We recruited 29/73 patients and 14/17 physicians; transcripts from semi-structured interviews were analyzed for thematic patterns using an interpretive descriptive approach. Patient hopes of benefit from research participation were enhanced by the promise of novel and targeted treatment but challenged by non-findings or by limited access to relevant trials. Family obligations informed a willingness to receive genetic information, which was perceived as burdensome given disease stage or as inconsequential given faced challenges. Physicians were optimistic about long-term potential but conservative about immediate benefits and mindful of elevated patient expectations; consent and counseling processes were expected to mitigate challenges from incidental findings. These findings suggest the need for information and decision tools to support physicians in communicating realistic prospects of benefit, and for cautious approaches to the generation of incidental genetic information.
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Affiliation(s)
- Fiona A Miller
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Joint Centre for Bioethics, University of Toronto, Toronto, ON, Canada
| | - Robin Z Hayeems
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Jessica P Bytautas
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Philippe L Bedard
- Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
| | - Scott Ernst
- London Health Sciences Centre, London, ON, Canada
| | - Hal Hirte
- Juravinski Cancer Centre, Hamilton, ON, Canada
| | | | - Amit Oza
- Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
| | - Albiruni Razak
- Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
| | | | | | - Janet Dancey
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Lillian L Siu
- Princess Margaret Cancer Centre—University Health Network, Toronto, ON, Canada
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Lopez-Doriga A, Feliubadaló L, Menéndez M, Lopez-Doriga S, Morón-Duran FD, del Valle J, Tornero E, Montes E, Cuesta R, Campos O, Gómez C, Pineda M, González S, Moreno V, Capellá G, Lázaro C. ICO amplicon NGS data analysis: a Web tool for variant detection in common high-risk hereditary cancer genes analyzed by amplicon GS Junior next-generation sequencing. Hum Mutat 2013; 35:271-7. [PMID: 24227591 DOI: 10.1002/humu.22484] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 11/07/2013] [Indexed: 12/19/2022]
Abstract
Next-generation sequencing (NGS) has revolutionized genomic research and is set to have a major impact on genetic diagnostics thanks to the advent of benchtop sequencers and flexible kits for targeted libraries. Among the main hurdles in NGS are the difficulty of performing bioinformatic analysis of the huge volume of data generated and the high number of false positive calls that could be obtained, depending on the NGS technology and the analysis pipeline. Here, we present the development of a free and user-friendly Web data analysis tool that detects and filters sequence variants, provides coverage information, and allows the user to customize some basic parameters. The tool has been developed to provide accurate genetic analysis of targeted sequencing of common high-risk hereditary cancer genes using amplicon libraries run in a GS Junior System. The Web resource is linked to our own mutation database, to assist in the clinical classification of identified variants. We believe that this tool will greatly facilitate the use of the NGS approach in routine laboratories.
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Ku CS, Cooper DN, Roukos DH. Clinical relevance of cancer genome sequencing. World J Gastroenterol 2013; 19:2011-8. [PMID: 23599619 PMCID: PMC3623977 DOI: 10.3748/wjg.v19.i13.2011] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2012] [Revised: 09/21/2012] [Accepted: 09/29/2012] [Indexed: 02/06/2023] Open
Abstract
The arrival of both high-throughput and bench-top next-generation sequencing technologies and sequence enrichment methods has revolutionized our approach to dissecting the genetic basis of cancer. These technologies have been almost invariably employed in whole-genome sequencing (WGS) and whole-exome sequencing (WES) studies. Both WGS and WES approaches have been widely applied to interrogate the somatic mutational landscape of sporadic cancers and identify novel germline mutations underlying familial cancer syndromes. The clinical implications of cancer genome sequencing have become increasingly clear, for example in diagnostics. In this editorial, we present these advances in the context of research discovery and discuss both the clinical relevance of cancer genome sequencing and the challenges associated with the adoption of these genomic technologies in a clinical setting.
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How can polygenic inheritance be used in population screening for common diseases? Genet Med 2013; 15:437-43. [PMID: 23412608 DOI: 10.1038/gim.2012.182] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Advances in genomics have near-term impact on diagnosis and management of monogenic disorders. For common complex diseases, the use of genomic information from multiple loci (polygenic model) is generally not useful for diagnosis and individual prediction. In principle, the polygenic model could be used along with other risk factors in stratified population screening to target interventions. For example, compared to age-based criterion for breast, colorectal, and prostate cancer screening, adding polygenic risk and family history holds promise for more efficient screening with earlier start and/or increased frequency of screening for segments of the population at higher absolute risk than an established screening threshold; and later start and/or decreased frequency of screening for segments of the population at lower risks. This approach, while promising, faces formidable challenges for building its evidence base and for its implementation in practice. Currently, it is unclear whether or not polygenic risk can contribute enough discrimination to make stratified screening worthwhile. Empirical data are lacking on population-based age-specific absolute risks combining genetic and non-genetic factors, on impact of polygenic risk genes on disease natural history, as well as information on comparative balance of benefits and harms of stratified interventions. Implementation challenges include difficulties in integration of this information in the current health-care system in the United States, the setting of appropriate risk thresholds, and ethical, legal, and social issues. In an era of direct-to-consumer availability of personal genomic information, the public health and health-care systems need to prepare for an evidence-based integration of this information into population screening.
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Ayuso C, Millán JM, Mancheño M, Dal-Ré R. Informed consent for whole-genome sequencing studies in the clinical setting. Proposed recommendations on essential content and process. Eur J Hum Genet 2013; 21:1054-9. [PMID: 23321621 DOI: 10.1038/ejhg.2012.297] [Citation(s) in RCA: 92] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Revised: 11/20/2012] [Accepted: 12/11/2012] [Indexed: 11/09/2022] Open
Abstract
The development of new massive sequencing techniques has now made it possible to significantly reduce the time and costs of whole-genome sequencing (WGS). Although WGS will soon become a routine testing tool, new ethical issues have surfaced. In light of these concerns, a systematic review of papers published by expert authors on IC or specific ethical issues related to IC for WGS analysis in the clinical setting has been conducted using the Pubmed, Embase and Cochrane Library databases. Additionally, a search was conducted for international ethical guidelines for genetic studies published by scientific societies and ethical boards. Based on these documents, a minimum set of information to be provided to patients in the IC form was determined. Fourteen and seven documents from the database search and from scientific societies, respectively, were selected. A very high level of consistency between them was found regarding the recommended IC form content. Pre-test counselling and general information common to all genetic tests should be included in the IC form for WGS for diagnostic purposes, but additional information addressing specific issues on WGS are proposed, such as a plan for the ethical, clinically oriented return of incidental findings. Moreover, storage of additional information for future use should also be agreed upon with the patient in advance. Recommendations for WGS studies in the clinical setting concerning both the elements of information and the process of obtaining the IC as well as how to handle the results obtained are proposed.
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Affiliation(s)
- Carmen Ayuso
- 1] Department of Genetics, IIS-Jimenez Diaz Foundation (IIS-FJD), Madrid, Spain [2] Centre for Biomedical Network Research on Rare Diseases CIBERER ISCIII, Valencia, Spain
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Guan YF, Li GR, Wang RJ, Yi YT, Yang L, Jiang D, Zhang XP, Peng Y. Application of next-generation sequencing in clinical oncology to advance personalized treatment of cancer. CHINESE JOURNAL OF CANCER 2012; 31:463-70. [PMID: 22980418 PMCID: PMC3777453 DOI: 10.5732/cjc.012.10216] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
With the development and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research over the past decade. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is used to identify novel and rare cancer mutations, detect familial cancer mutation carriers, and provide molecular rationale for appropriate targeted therapy. Compared to traditional sequencing, NGS holds many advantages, such as the ability to fully sequence all types of mutations for a large number of genes (hundreds to thousands) in a single test at a relatively low cost. However, significant challenges, particularly with respect to the requirement for simpler assays, more flexible throughput, shorter turnaround time, and most importantly, easier data analysis and interpretation, will have to be overcome to translate NGS to the bedside of cancer patients. Overall, continuous dedication to apply NGS in clinical oncology practice will enable us to be one step closer to personalized medicine.
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Affiliation(s)
- Yan-Fang Guan
- Shenzhen Clinical Molecular Diagnostic Engineering Laboratory, BGI-Shenzhen, Shenzhen, Guangdong, People's Republic of China
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