scholarly journals Aging, Bone Marrow and Next-Generation Sequencing (NGS): Recent Advances and Future Perspectives

2021 ◽  
Vol 22 (22) ◽  
pp. 12225
Author(s):  
Payal Ganguly ◽  
Bradley Toghill ◽  
Shelly Pathak

The aging of bone marrow (BM) remains a very imperative and alluring subject, with an ever-increasing interest among fellow scientists. A considerable amount of progress has been made in this field with the established ‘hallmarks of aging’ and continued efforts to investigate the age-related changes observed within the BM. Inflammaging is considered as a low-grade state of inflammation associated with aging, and whilst the possible mechanisms by which aging occurs are now largely understood, the processes leading to the underlying changes within aged BM remain elusive. The ability to identify these changes and detect such alterations at the genetic level are key to broadening the knowledgebase of aging BM. Next-generation sequencing (NGS) is an important molecular-level application presenting the ability to not only determine genomic base changes but provide transcriptional profiling (RNA-seq), as well as a high-throughput analysis of DNA–protein interactions (ChIP-seq). Utilising NGS to explore the genetic alterations occurring over the aging process within alterative cell types facilitates the comprehension of the molecular and cellular changes influencing the dynamics of aging BM. Thus, this review prospects the current landscape of BM aging and explores how NGS technology is currently being applied within this ever-expanding field of research.

Life ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 228
Author(s):  
Soyeon Kim ◽  
Joo Won Lee ◽  
Young-Seok Park

Despite the introduction of next-generation sequencing in the realm of DNA sequencing technology, it is not often used in the investigation of oral squamous cell carcinoma (OSCC). Oral cancer is one of the most frequently occurring malignancies in some parts of the world and has a high mortality rate. Patients with this malignancy are likely to have a poor prognosis and may suffer from severe facial deformity or mastication problems even after successful treatment. Therefore, a thorough understanding of this malignancy is essential to prevent and treat it. This review sought to highlight the contributions of next-generation sequencing (NGS) in unveiling the genetic alterations and differential expressions of miRNAs involved in OSCC progression. By applying an appropriate eligibility criterion, we selected relevant studies for review. Frequently identified mutations in genes such as TP53, NOTCH1, and PIK3CA are discussed. The findings of existing miRNAs (e.g., miR-21) as well as novel discoveries pertaining to OSCC are also covered. Lastly, we briefly mention the latest findings in targeted gene therapy and the potential use of miRNAs as biomarkers. Our goal is to encourage researchers to further adopt NGS in their studies and give an overview of the latest findings of OSCC treatment.


Cancers ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1364 ◽  
Author(s):  
Diego Carbonell ◽  
Julia Suárez-González ◽  
María Chicano ◽  
Cristina Andrés-Zayas ◽  
Juan Carlos Triviño ◽  
...  

Molecular diagnosis of myeloid neoplasms (MN) is based on the detection of multiple genetic alterations using various techniques. Next-generation sequencing (NGS) has been proved as a useful method for analyzing many genes simultaneously. In this context, we analyzed diagnostic samples from 121 patients affected by MN and ten relapse samples from a subset of acute myeloid leukemia patients using two enrichment-capture NGS gene panels. Pathogenicity classification of variants was enhanced by the development and application of a custom onco-hematology score. A total of 278 pathogenic variants were detected in 84% of patients. For structural alterations, 82% of those identified by cytogenetics were detected by NGS, 25 of 31 copy number variants and three out of three translocations. The detection of variants using NGS changed the diagnosis of seven patients and the prognosis of 15 patients and enabled us to identify 44 suitable candidates for clinical trials. Regarding AML, six of the ten relapsed patients lost or gained variants, comparing with diagnostic samples. In conclusion, the use of NGS panels in MN improves genetic characterization of the disease compared with conventional methods, thus demonstrating its potential clinical utility in routine clinical testing. This approach leads to better-adjusted treatments for each patient.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e23528-e23528
Author(s):  
Gang Zhao ◽  
Lu Xie ◽  
Wei Guo ◽  
Yanfeng Xi ◽  
Yanzhi Cui ◽  
...  

e23528 Background: The rarity and heterogeneity of sarcoma has been complicating the diagnosis of sarcoma for years. Even expert pathologists of sarcoma could make mistakes in the diagnosis of this disease. The availability of Next Generation Sequencing (NGS) data enabled more accurate diagnosis of sarcoma. In this study, we systematically described the application of NGS on the diagnosis of sarcoma and the contribution of NGS to the diagnostic accuracy of sarcoma. Methods: A multi-center, retrospective study included 235 sarcoma patients’ tumor and paired normal samples that were sent from 56 hospitals to a College of American Pathologists (CAP) accredited and Clinical Laboratory Improvement Amendments (CLIA) certified laboratory, at Shanghai, China for Next Generation Sequencing (NGS) was performed. Using next generation sequencing based YS panel consisting 450 genes, these 235 sarcoma patients’ sample were sequenced and the NGS data was analyzed. The initial diagnosis without NGS information was reconsidered by expert pathologists. Results: Taking into consideration both the initial diagnosis and the NGS results, the final diagnosis of these 235 sarcoma cases included 8 low grade malignant fibromyxoid tumors, 11 dermatofibrosarcoma protuberans (DFSP), 38 myxoliposarcomas, 22 alveolar rhabdomyosarcomas, 11 alveolar soft tissue sarcoma, 2 desmoplastic small round cell tumors, 37 NTRK rearrangement spindle cell tumors, 40 Ewing’s sarcoma and 66 synoviosarcomas. In total, 29% initial diagnoses were changed according to NGS identified fusions, including 13% low grade malignant fibromyxoid tumors (1 FUS- CREB3L2 fusion), 27% DFSPs (3 COL1A1- PDGFB fusions), 11% myxoliposarcomas (3 FUS- DDIT3 fusions and 1 EWSR1- DDIT3 fusion), 14% alveolar rhabdomyosarcomas (2 PAX7- FOXO1 fusions and 1 FOXO1- LINC00598 fusion), 18% alveolar soft tissue sarcomas (2 ASPSCR1- TFE3 fusions), 50% desmoplastic small round cell tumor (1 EWSR1- WT1 fusion), 95% NTRK rearrangement spindle cell tumors, 13% Ewing’s sarcomas (3 EWSR1- FLI1 fusions and 2 EWSR1- ERG fusions) and 21% synoviosarcomas (9 SS18- SSX1 fusions and 5 SS18- SSX2 fusions). Conclusions: NGS would be highly recommended for accurate diagnosis of sarcoma, especially for NTRK rearrangement spindle cell tumor, the majority of which were confirmed according to NGS identified fusions.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 144-144
Author(s):  
Vera Grossmann ◽  
Alexander Kohlmann ◽  
Claudia Haferlach ◽  
Hans-Ulrich Klein ◽  
Martin Dugas ◽  
...  

Abstract Abstract 144 PicoTiterPlate (PTP) pyrosequencing allows the detection of low-abundance oncogene aberrations in complex samples even with low tumor content. Here, we compared deep sequencing data of two Next-Generation Sequencing (NGS) assays to detect molecular mutations using a PCR-based strategy and, in addition, to uncover inversions, translocations, and insertions in a targeted sequence enrichment workflow (454 Life Sciences, Roche Diagnostics Corporation, Branford, CT). First, we studied 95 patients (CMML, n=81; AML, n=6; MDS, n=3; MPS, n=3; ET, n=2) using the amplicon approach and investigated seven candidate genes with relevance in oncogenesis of myeloid malignancies: TET2, RUNX1, JAK2, MPL, KRAS, NRAS, and CBL. 43 primer pairs were designed to cover the complete coding regions of TET2, RUNX1 (beta isoform), and hotspot regions of the latter genes. In total, 4128 individual PCR reactions were performed with DNA isolated from bone marrow mononuclear cells, followed by product purification, fluorometric quantitation, and equimolar pooling of the corresponding 43 amplicon products to generate one single sequence library per patient. For sequencing, a 454 8-lane PTP was used applying standard FLX chemistry and representing one patient per lane. The median number of base pairs sequenced per patient was 9.23 Mb. For each amplicon a median of 840 reads was generated (coverage range: 485–1929 reads). As initial proof-of-concept analysis 27 of the 95 patients with known mutations (n=32) as detected by conventional sequencing or melting curve analyses were investigated (range of cells carrying the respective mutation: 1.1% for JAK2 V617F to 98.14% for TET2 C1464X). In all cases, 454 NGS confirmed results from routine diagnostic methods (GS Amplicon Variant Analyzer software version 2.0.01). We then investigated the remaining 69 CMML patients: In median, 2 variances (range 1–8 variances), i.e. differences in comparison to the reference sequence, per patient were detected. These variances included both point mutations in all candidate genes and large deletions (12-19 bp) in CBL, RUNX1, and TET2. Only 20/81 patients of the CMML-cohort (24.69%) were without any detectable mutation. Secondly, in a cohort of six AML bone marrow specimens a custom NimbleGen array (385K format; Madison, WI) was used to perform a targeted DNA sequence enrichment procedure. In total, capture probes spanning 1.91 Mb were designed to represent all coding regions of 92 target genes (1559 exons) with relevance in hematological malignancies (e.g. KIT, NF1, TP53, BCR, ABL1, NPM1, or FLT3). In addition, the complete genomic regions were targeted for RUNX1, CBFB, and MLL. For sequencing, 454 Titanium chemistry was applied, loading three patients per lane on a 2-lane PTP including three molecular identifiers (MIDs) each. Data analysis was performed using the GS Reference Mapper software version 2.0.01. For the enrichment assay, the median enrichment of the targeted genomic loci was 207-fold, as assessed by ligation-mediated LM-PCR. Overall, 1,098,132 reads were generated in the two lanes, yielding a total sequence length of 386,097,740 bases. In median, 96.52% of the sequenced bases mapped against the human genome, and 66.0% were derived from the customized NimbleGen array capture probes, resulting in a median coverage of 18.7-fold . With this method it was possible to detect and confirm point mutations (KIT, FLT3-TKD, and KRAS) and insertions (FLT3-ITD). Moreover, by capturing chimeric DNA fragments and generating reads mapping to both fusion partners this approach detected balanced aberrations, i.e. inv(16)(p13q22) and the translocations t(8;21)(q22;q22) or t(9;11)(p22;q23). In conclusion, both assays to specifically sequence targeted regions with oncogenic relevance on a NGS platform demonstrated promising results and are feasible. The amplicon approach is more suitable for detection of mutations in a routine setting and is ideally suited for large genes such as TET2, ATM, and NF1, which are labor-intensive to sequence conventionally. The array-based capturing assay is characterized by a complex and time-consuming workflow with low-throughput. However, the ability to detect balanced genomic aberrations which are detectable thus far only by cytogenetics and FISH has the potential to become an important diagnostic assay, especially in tumors in which cytogenetics can not be applied successfully. Disclosures: Grossmann: MLL Munich Leukemia Laboratory: Employment. Kohlmann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership. Dicker:MLL Munich Leukemia Laboratory: Employment. Kazak:MLL Munich Leukemia Laboratory: Employment. Schindela:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.


2021 ◽  
Vol 42 (03) ◽  
pp. 221-228
Author(s):  
Omshree Shetty ◽  
Mamta Gurav ◽  
Prachi Bapat ◽  
Nupur Karnik ◽  
Gauri Wagh ◽  
...  

AbstractWith an advancement in the field of molecular diagnostics, there has been a profound evolution in the testing modalities, especially in the field of oncology. In the past decade, sequencing technology has evolved drastically with the advent of high-throughput next-generation sequencing (NGS). Subsequently, the single-gene tests have been replaced by multigene panel-based assays, deep sequencing, massively parallel whole genome, whole-exome sequencing, and so on. NGS has provided molecular diagnostics professionals a wonderful tool to explore and unearth the genetic alterations, underpinning the pathophysiology of the disease. However, this development has posed new challenges which consist of the following; understanding the technology, types of platforms available, various sequencing strategies, bioinformatics and data analysis algorithm, reporting of various variants, and validation of assays and overall for developing NGS assay for clinical utility. The challenges involved sometimes impede development of these high-end assays in laboratories. The present article provides a broad overview of our journey in setting up the NGS assay in a molecular pathology laboratory at a tertiary care oncology center. We hereby describe various important points and steps to be followed while working on the NGS setup, right from its inception to final drafting of the reports, with inclusion of various validation steps. We aim at providing a beginner’s guide to set up NGS assays in the laboratory using recommended best practices and various international guidelines.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4076-4076
Author(s):  
Song Jinming ◽  
Mohammad Omar Hussaini ◽  
Haipeng Shao ◽  
Eric Padron ◽  
Jeffrey E Lancet ◽  
...  

Abstract Background: Primary myelofibrosis (PMF) and polycythemia vera (PV) are myeloproliferative neoplasms (MPN) that can both share a similar bone marrow morphology with panmyelosis and fibrosis, posing a diagnostic challenge, particularly when the differential is between cellular phase of PMF and PV, or fibrotic PMF and post-PV myelofibrosis. Despite advances in genomic analysis, limited information is known regarding their differences in genetic profile/signature. It has been well known that constitutive tyrosine kinase activation due to JAK2 V617F mutation is seen in both PV and PMF. MPL and CALR mutations do segregate with PMF but may not be found in all cases. Accordingly, we analyzed next generation sequencing (NGS) data to look for potential biomarkers that may further aid in distinguishing these two entities. Design: The IRB approved study intended to recruit patients with diagnosis of PMF and PV who have myeloid gene mutation profiles available. Clinical information and molecular data from both a CLIA certified reference laboratory and our institution from May 2011 to June 2015 were retrieved. Cases with other myeloid neoplasms were excluded. The gene mutation profiles by Next Generation sequencing (NGS) and conventional karyotyping were acquired and compared. Clinicopathologic features including disease progression, degree of fibrosis in bone marrow, percentage of blasts, bone marrow cellularity, and circulating blood count (CBC) are correlated. Student t-test was used for numerical variables and Chi square (x2) test was used for categorical variables. Results: Of the 62 patients qualified in the study, 36 patients were diagnosed with PMF (Age 68.5 ± 12.2, M:F ratio of 1:1) and 26 patients with PV (Age 66.5 ± 11.9, M:F ratio of 1.6). The majority of patients (34/36 PMF and 26/26 PV) showed persistent disease with only two PMF patients progressing to acute myeloid leukemia (AML). In accordance with prior reports, JAK2 V617F mutation was more prevalent in PV (23/26, 88%) than in PMF (17/36, 47%)(p<0.05), while MPL mutation was found in PMF (5/36, 14%) but not in PV (0/26) (p<0.001). Overall, PMF patients tended to have more non JAK2 mutations (mean = 1.6 ± 1) than PV patients (mean= 0.54 ± 0.65) (p = 0.005), even though the PV patients tended to have a longer history of disease. Interestingly, ASXL1 mutations (mainly frame-shift, reportedly pathologic) appear to be more prevalent in PMF (28%) than in PV (8%) patients (p = 0.058). SRSF2 mutations were found in 14% of PMF patients but absent in all 26 PV patients (p=0.068). Mutations in a subset of other analyzed genes (TET2, EZH2, IDH2, and CUX1) were also more frequent in PMF than in PV patients (25% vs 15%, 8% vs 0%, 8% vs 0%, and 6% vs 0%, respectively), but not statistically significant due to limited number of cases. The highest number of mutations (n=4) was in a case of PMF that progressed to AML, suggesting a 'dosage' effect of driver mutations on outcomes similar to that described in MDS. The other patient that progressed from PMF to AML harbored JAK2, ASXL1, SRSF2 mutations along with del(20q). ASXL1 mutation was associated with del(20q) in 4/62 cases, all of which were PMF patients including the case that has progressed to AML. JAK2 mutation was associated with del(20q) in 7 out of the 62 cases, 6 (86%) of which were PMF patients. No gene mutations were uniquely associated with degree of fibrosis, blast count, cellularity, white blood cell counts, hemoglobin, or platelet counts. Conclusion: Our results indicate that PMF patients tend to have more non JAK2 mutations (e.g., ASXL1, SRSF2) than PV. Furthermore, the mutations, including JAK2 mutations, are more likely to be associated with del(20q) in PMF patients. Our findings provide insight into the genetic landscape of PMF and PV and offer potential biomarkers that may be helpful to distinguish between these entities, thus benefiting patient stratification for clinical practice. Disclosures Lancet: Seattle Genetics: Consultancy; Pfizer: Research Funding; Boehringer-Ingelheim: Consultancy; Kalo-Bios: Consultancy; Amgen: Consultancy; Celgene: Consultancy, Research Funding. Komrokji:Celgene: Consultancy, Research Funding; Incite: Consultancy; Novartis: Speakers Bureau; GSK: Research Funding.


Sign in / Sign up

Export Citation Format

Share Document