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Kolenda T, Guglas K, Baranowski D, Sobocińska J, Kopczyńska M, Teresiak A, Bliźniak R, Lamperska K. cfRNAs as biomarkers in oncology - still experimental or applied tool for personalized medicine already? Rep Pract Oncol Radiother 2020; 25:783-792. [PMID: 32904167 PMCID: PMC7451588 DOI: 10.1016/j.rpor.2020.07.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/13/2020] [Accepted: 07/31/2020] [Indexed: 02/07/2023] Open
Abstract
Currently, the challenges of contemporary oncology are focused mainly on the development of personalized medicine and precise treatment, which could be achieved through the use of molecular biomarkers. One of the biological molecules with great potential are circulating free RNAs (cfRNAs) which are present in various types of body fluids, such as blood, serum, plasma, and saliva. Also, different types of cfRNA particles can be distinguished depending on their length and function: microRNA (miRNA), PIWI-interacting RNA (piRNA), tRNA-derived RNA fragments (tRFs), circular RNA (circRNA), long non-coding RNA (lncRNA), and messenger RNA (mRNA). Moreover, cfRNAs occur in various forms: as a free molecule alone, in membrane vesicles, such as exosomes, or in complexes with proteins and lipids. One of the modern approaches for monitoring patient's condition is a "liquid biopsy" that provides a non-invasive and easily available source of circulating RNAs. Both the presence of specific cfRNA types as well as their concentration are dependent on many factors including cancer type or even reaction to treatment. Despite the possibility of using circulating free RNAs as biomarkers, there is still a lack of validated diagnostic panels, defined protocols for sampling, storing as well as detection methods. In this work we examine different types of cfRNAs, evaluate them as possible biomarkers, and analyze methods of their detection. We believe that further research on cfRNA and defining diagnostic panels could lead to better and faster cancer identification and improve treatment monitoring.
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Affiliation(s)
- Tomasz Kolenda
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
- Department of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, Poznan, Poland
| | - Kacper Guglas
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
- Postgraduate School of Molecular Medicine, Medical University of Warsaw, Warszawa, Poland
| | - Dawid Baranowski
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
- Department of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, Poznan, Poland
| | - Joanna Sobocińska
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
- Department of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, Poznan, Poland
| | - Magda Kopczyńska
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
- Department of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, Poznan, Poland
| | - Anna Teresiak
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
| | - Renata Bliźniak
- Laboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland
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Ruderman EM, Mandelin AM, Perlman HR. Willie Sutton Was Right: It's Time to Turn to the Synovium to Drive Rheumatoid Arthritis Therapy. J Rheumatol 2018; 43:2089-2091. [PMID: 27909137 DOI: 10.3899/jrheum.161285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Eric M Ruderman
- Division of Rheumatology, Northwestern University Feinberg School of Medicine;
| | - Arthur M Mandelin
- Division of Rheumatology, Northwestern University Feinberg School of Medicine
| | - Harris R Perlman
- Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Can histologic transformation of follicular lymphoma be predicted and prevented? Blood 2017; 130:258-266. [DOI: 10.1182/blood-2017-03-691345] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 04/06/2017] [Indexed: 12/28/2022] Open
Abstract
Abstract
Transformation to aggressive lymphoma is a critical event in the clinical course of follicular lymphoma (FL) patients. Yet, it is a challenge to reliably predict transformation at the time of diagnosis. Understanding the risk of transformation would be useful for guiding and monitoring patients, as well as for evaluating novel treatment strategies that could potentially prevent transformation. Herein, we review the contribution of clinical, pathological, and genetic risk factors to transformation. Patients with multiple clinical high-risk factors are at elevated risk of transformation but we are currently lacking a prognostic index that would specifically address transformation rather than disease progression or overall survival. From the biological standpoint, multiple studies have correlated individual biomarkers with transformation. However, accurate prediction of this event is currently hampered by our limited knowledge of the evolutionary pathways leading to transformation, as well as the scarcity of comprehensive, large-scale studies that assess both the genomic landscape of alterations within tumor cells and the composition of the microenvironment. Liquid biopsies hold great promise for achieving precision medicine. Indeed, mutations detected within circulating tumor DNA may be a better reflection of the inherent intratumoral heterogeneity than the biopsy of a single site. Last, we will assess whether evidence exists in the literature that transformation might be prevented altogether, based on the choice of therapy for FL.
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Exome Sequencing Identifies Potentially Druggable Mutations in Nasopharyngeal Carcinoma. Sci Rep 2017; 7:42980. [PMID: 28256603 PMCID: PMC5335658 DOI: 10.1038/srep42980] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 01/17/2017] [Indexed: 12/15/2022] Open
Abstract
In this study, we first performed whole exome sequencing of DNA from 10 untreated and clinically annotated fresh frozen nasopharyngeal carcinoma (NPC) biopsies and matched bloods to identify somatically mutated genes that may be amenable to targeted therapeutic strategies. We identified a total of 323 mutations which were either non-synonymous (n = 238) or synonymous (n = 85). Furthermore, our analysis revealed genes in key cancer pathways (DNA repair, cell cycle regulation, apoptosis, immune response, lipid signaling) were mutated, of which those in the lipid-signaling pathway were the most enriched. We next extended our analysis on a prioritized sub-set of 37 mutated genes plus top 5 mutated cancer genes listed in COSMIC using a custom designed HaloPlex target enrichment panel with an additional 88 NPC samples. Our analysis identified 160 additional non-synonymous mutations in 37/42 genes in 66/88 samples. Of these, 99/160 mutations within potentially druggable pathways were further selected for validation. Sanger sequencing revealed that 77/99 variants were true positives, giving an accuracy of 78%. Taken together, our study indicated that ~72% (n = 71/98) of NPC samples harbored mutations in one of the four cancer pathways (EGFR-PI3K-Akt-mTOR, NOTCH, NF-κB, DNA repair) which may be potentially useful as predictive biomarkers of response to matched targeted therapies.
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