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Kaufmann M, Keppens M, Blair ED. A perspective analysis: companion diagnostics: an evolving paradigm in 21st century healthcare. Per Med 2015; 12:389-402. [PMID: 29771658 DOI: 10.2217/pme.15.2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Medical history has not wandered far from its original aspirations of being personalized. Diagnostic capability has evolved from the metaphysical to the anatomical to the cellular and ultimately to the molecular level. Now that diseases can be subclassified into categories that indicate the course of disease and in some cases its likely response to treatment, there is a responsibility to act on that information. As more predictive biomarkers become clinically validated and as more targeted therapies become available, single marker companion diagnostics for specific drugs will be replaced by multiplex and multiparameter diagnostics that may be applicable across disease entities preserving sample, time, money and enabling rapid molecular taxonomy. We call this an ensemble relationship model between diagnostics and medicines.
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Affiliation(s)
- Martina Kaufmann
- Martina Kaufmann Strategic Consulting, Dorfmatt 22, 79379 Müllheim, Germany
| | - Mieke Keppens
- Quest-ion, Sint Vitusstraat 2 G, 1411PT Naarden-Vesting, The Netherlands
| | - Edward D Blair
- Integrated Medicines Ltd, Topfield House, Ermine Street, Caxton, Cambridge, CB23 3PQ, UK
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2
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Mojica WD, Oh KW, Lee H, Furlani EP, Sands AM. Maximizing derivable information from cytologic specimens for pathologic and molecular diagnostics. J Am Soc Cytopathol 2015; 4:141-147. [PMID: 31051695 DOI: 10.1016/j.jasc.2015.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Revised: 01/14/2015] [Accepted: 01/21/2015] [Indexed: 11/27/2022]
Abstract
INTRODUCTION The advent of precision medicine will increase the demand for molecular testing on patient tumor specimens. Cytology specimens have been shown to be ideal substrates for molecular testing, but their often paucicellular nature can lead to conflicts in prioritizing sample management. A microfluidic platform was investigated to determine whether cytologic and molecular data could be procured from the same cells, obviating the need for partitioning a sample by multiplexing it instead. MATERIALS AND METHODS Cytology samples were created from a tissue source, stained with a supravital dye, and enriched using immunomagnetic beads. These cells and the attached immunomagnetic beads were then run through a microfluidic channel, temporarily immobilized for cytologic examination, and then recovered. The cytologic characteristics of these cells was compared with cells from the same source prepared by conventional cytologic preparatory means. DNA was extracted from the cells recovered from the microfluidic channel and the nature of their integrity was assessed. RESULTS Cytologic features between cells run in a microfluidic channel and prepared by conventional means were similar. The DNA recovered from the cells run through the microfluidic channel was of high molecular weight. CONCLUSIONS Microfluidics enables multiplex testing of cytologic specimens, allowing for cytology-based diagnostic examination and recovery of high-quality DNA. This approach will be of particular benefit for cytology specimens that are paucicellular and will need molecular testing.
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Affiliation(s)
- Wilfrido D Mojica
- Department of Pathology and Anatomical Sciences, University at Buffalo, The State University of New York, 100 High Street, Buffalo, New York.
| | - Kwang W Oh
- Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, New York
| | - Hun Lee
- Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, New York
| | - Edward P Furlani
- Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, New York; Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York
| | - Amy M Sands
- Department of Pathology and Anatomical Sciences, University at Buffalo, The State University of New York, 100 High Street, Buffalo, New York
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Verma M. Molecular profiling and companion diagnostics: where is personalized medicine in cancer heading? Per Med 2014; 11:761-771. [PMID: 29764045 DOI: 10.2217/pme.14.41] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The goal of personalized medicine is to use the right drug at the right dose - with minimal or no toxicity - for the right patient at the right time. Recent advances in understanding cell biology and pathways, and in using molecular 'omics' technologies to diagnose cancer, offer a strategic bridge to personalized medicine in cancer. Modern personalized medicine takes into account an individual's genetic makeup and disease history before developing a treatment regimen. The future of clinical oncology will be based on the use of predictive and prognostic biomarkers in patient management. Once implemented widely, personalized medicine will benefit patients and the healthcare system greatly.
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Mafficini A, Amato E, Fassan M, Simbolo M, Antonello D, Vicentini C, Scardoni M, Bersani S, Gottardi M, Rusev B, Malpeli G, Corbo V, Barbi S, Sikora KO, Lawlor RT, Tortora G, Scarpa A. Reporting tumor molecular heterogeneity in histopathological diagnosis. PLoS One 2014; 9:e104979. [PMID: 25127237 PMCID: PMC4134249 DOI: 10.1371/journal.pone.0104979] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Accepted: 07/14/2014] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Detection of molecular tumor heterogeneity has become of paramount importance with the advent of targeted therapies. Analysis for detection should be comprehensive, timely and based on routinely available tumor samples. AIM To evaluate the diagnostic potential of targeted multigene next-generation sequencing (TM-NGS) in characterizing gastrointestinal cancer molecular heterogeneity. METHODS 35 gastrointestinal tract tumors, five of each intestinal type gastric carcinomas, pancreatic ductal adenocarcinomas, pancreatic intraductal papillary mucinous neoplasms, ampulla of Vater carcinomas, hepatocellular carcinomas, cholangiocarcinomas, pancreatic solid pseudopapillary tumors were assessed for mutations in 46 cancer-associated genes, using Ion Torrent semiconductor-based TM-NGS. One ampulla of Vater carcinoma cell line and one hepatic carcinosarcoma served to assess assay sensitivity. TP53, PIK3CA, KRAS, and BRAF mutations were validated by conventional Sanger sequencing. RESULTS TM-NGS yielded overlapping results on matched fresh-frozen and formalin-fixed paraffin-embedded (FFPE) tissues, with a mutation detection limit of 1% for fresh-frozen high molecular weight DNA and 2% for FFPE partially degraded DNA. At least one somatic mutation was observed in all tumors tested; multiple alterations were detected in 20/35 (57%) tumors. Seven cancers displayed significant differences in allelic frequencies for distinct mutations, indicating the presence of intratumor molecular heterogeneity; this was confirmed on selected samples by immunohistochemistry of p53 and Smad4, showing concordance with mutational analysis. CONCLUSIONS TM-NGS is able to detect and quantitate multiple gene alterations from limited amounts of DNA, moving one step closer to a next-generation histopathologic diagnosis that integrates morphologic, immunophenotypic, and multigene mutational analysis on routinely processed tissues, essential for personalized cancer therapy.
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Affiliation(s)
- Andrea Mafficini
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Eliana Amato
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Matteo Fassan
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Michele Simbolo
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Davide Antonello
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
- Department of Surgery, University and Hospital Trust of Verona, Verona, Italy
| | - Caterina Vicentini
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Maria Scardoni
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Samantha Bersani
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Marisa Gottardi
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Borislav Rusev
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Giorgio Malpeli
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
- Department of Surgery, University and Hospital Trust of Verona, Verona, Italy
| | - Vincenzo Corbo
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Stefano Barbi
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Katarzyna O. Sikora
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Rita T. Lawlor
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Giampaolo Tortora
- Department of Medicine, Oncology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Aldo Scarpa
- Applied Research on Cancer Network (ARC-NET) and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
- * E-mail:
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Olsen D, Jørgensen JT. Companion diagnostics for targeted cancer drugs - clinical and regulatory aspects. Front Oncol 2014; 4:105. [PMID: 24904822 PMCID: PMC4032883 DOI: 10.3389/fonc.2014.00105] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Accepted: 04/28/2014] [Indexed: 01/21/2023] Open
Abstract
Companion diagnostics (CDx) holds the promise of improving the predictability of the oncology drug development process and become an important tool for the oncologist in relation to the choice of treatment for the individual patient. A number of drug-diagnostic co-development programs have already been completed successfully, and in the clinic, the use of several targeted cancer drugs is now guided by a CDx. This central role of the CDx assays has attracted the attention of the regulators, and especially the US Food and Drug Administration has been at the forefront in relation to developing regulatory strategies for CDx and the drug-diagnostic co-development project. For an increasing number of cancer patients the treatment selection will depend on the result generated by a CDx assay, and consequently this type of assay has become critical for the care and safety of the patients. In order to secure that the CDx assays have a high degree of analytical and clinical validity, they must undergo an extensive non-clinical and clinical testing before release for routine patient management. This review will give a brief introduction to some of the scientific and medical challenges related to the CDx development with specific emphasis on the regulatory requirements in different regions of the world.
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Affiliation(s)
- Dana Olsen
- Regulatory Affairs, Dako Denmark A/S, an Agilent Technologies Company , Glostrup , Denmark
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Pant S, Weiner R, Marton MJ. Navigating the rapids: the development of regulated next-generation sequencing-based clinical trial assays and companion diagnostics. Front Oncol 2014; 4:78. [PMID: 24860780 PMCID: PMC4029014 DOI: 10.3389/fonc.2014.00078] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Accepted: 03/28/2014] [Indexed: 12/11/2022] Open
Abstract
Over the past decade, next-generation sequencing (NGS) technology has experienced meteoric growth in the aspects of platform, technology, and supporting bioinformatics development allowing its widespread and rapid uptake in research settings. More recently, NGS-based genomic data have been exploited to better understand disease development and patient characteristics that influence response to a given therapeutic intervention. Cancer, as a disease characterized by and driven by the tumor genetic landscape, is particularly amenable to NGS-based diagnostic (Dx) approaches. NGS-based technologies are particularly well suited to studying cancer disease development, progression and emergence of resistance, all key factors in the development of next-generation cancer Dxs. Yet, to achieve the promise of NGS-based patient treatment, drug developers will need to overcome a number of operational, technical, regulatory, and strategic challenges. Here, we provide a succinct overview of the state of the clinical NGS field in terms of the available clinically targeted platforms and sequencing technologies. We discuss the various operational and practical aspects of clinical NGS testing that will facilitate or limit the uptake of such assays in routine clinical care. We examine the current strategies for analytical validation and Food and Drug Administration (FDA)-approval of NGS-based assays and ongoing efforts to standardize clinical NGS and build quality control standards for the same. The rapidly evolving companion diagnostic (CDx) landscape for NGS-based assays will be reviewed, highlighting the key areas of concern and suggesting strategies to mitigate risk. The review will conclude with a series of strategic questions that face drug developers and a discussion of the likely future course of NGS-based CDx development efforts.
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Affiliation(s)
- Saumya Pant
- Merck Research Laboratories, Molecular Biomarkers and Diagnostics , Rahway, NJ , USA
| | - Russell Weiner
- Merck Research Laboratories, Molecular Biomarkers and Diagnostics , Rahway, NJ , USA
| | - Matthew J Marton
- Merck Research Laboratories, Molecular Biomarkers and Diagnostics , Rahway, NJ , USA
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Redzic JS, Ung TH, Graner MW. Glioblastoma extracellular vesicles: reservoirs of potential biomarkers. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2014; 7:65-77. [PMID: 24634586 PMCID: PMC3952682 DOI: 10.2147/pgpm.s39768] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Glioblastoma multiforme (GBM) is the most frequent and most devastating of the primary central nervous system tumors, with few patients living beyond 2 years postdiagnosis. The damage caused by the disease and our treatments for the patients often leave them physically and cognitively debilitated. Generally, GBMs appear after very short clinical histories and are discovered by imaging (using magnetic resonance imaging [MRI]), and the diagnosis is validated by pathology, following surgical resection. The treatment response and diagnosis of tumor recurrence are also tracked by MRI, but there are numerous problems encountered with these monitoring modalities, such as ambiguous interpretation and forms of pseudoprogression. Diagnostic, prognostic, and predictive biomarkers would be an immense boon in following treatment schemes and in determining recurrence, which often requires an invasive intracranial biopsy to verify imaging data. Extracellular vesicles (EVs) are stable, membrane-enclosed, virus-sized particles released from either the cell surface or from endosomal pathways that lead to the systemic release of EVs into accessible biofluids, such as serum/plasma, urine, cerebrospinal fluid, and saliva. EVs carry a wide variety of proteins, nucleic acids, lipids, and other metabolites, with many common features but with enough individuality to be able to identify the cell of origin of the vesicles. These components, if properly interrogated, could allow for the identification of tumor-derived EVs in biofluids, indicating tumor progression, relapse, or treatment failure. That knowledge would allow clinicians to continue with treatment regimens that were actually effective or to change course if the therapies were failing. Here, we review the features of GBM EVs, in terms of EV content and activities that may lead to the use of EVs as serially accessible biomarkers for diagnosis and treatment response in neuro-oncology.
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Affiliation(s)
- Jasmina S Redzic
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, USA
| | - Timothy H Ung
- Department of Neurosurgery, School of Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Michael W Graner
- Department of Neurosurgery, School of Medicine, University of Colorado Denver, Aurora, CO, USA
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