Next Generation Sequencing In Oncology Research Articles

From Genomic Exploration to Personalized Treatment: Next-Generation Sequencing in Oncology

Next-generation sequencing (NGS) has revolutionized personalized oncology care by providing exceptional insights into the complex genomic landscape. NGS offers comprehensive cancer profiling, which enables clinicians and researchers to better understand the molecular basis of cancer and to tailor treatment strategies accordingly. Targeted therapies based on genomic alterations identified through NGS have shown promise in improving patient outcomes across various cancer types, circumventing resistance mechanisms and enhancing treatment efficacy. Moreover, NGS facilitates the identification of predictive biomarkers and prognostic indicators, aiding in patient stratification and personalized treatment approaches. By uncovering driver mutations and actionable alterations, NGS empowers clinicians to make informed decisions regarding treatment selection and patient management. However, the full potential of NGS in personalized oncology can only be realized through bioinformatics analyses. Bioinformatics plays a crucial role in processing raw sequencing data, identifying clinically relevant variants, and interpreting complex genomic landscapes. This comprehensive review investigates the diverse NGS techniques, including whole-genome sequencing (WGS), whole-exome sequencing (WES), and single-cell RNA sequencing (sc-RNA-Seq), elucidating their roles in understanding the complex genomic/transcriptomic landscape of cancer. Furthermore, the review explores the integration of NGS data with bioinformatics tools to facilitate personalized oncology approaches, from understanding tumor heterogeneity to identifying driver mutations and predicting therapeutic responses. Challenges and future directions in NGS-based cancer research are also discussed, underscoring the transformative impact of these technologies on cancer diagnosis, management, and treatment strategies.

Identifying Genetic Mutations in Vascular Anomalies Using a Sequencing Panel for Childhood Cancers: A Pilot Study

Introduction: Genetic mutations have been identified in the pathogenesis of vascular anomalies. Due to overlaps in genetic variants causing vascular anomalies and cancer, we used a next-generation sequencing panel for genomic profiling of childhood cancers to detect somatic mutations in children with vascular anomalies. We aim to review the utility of an oncology panel for the molecular diagnosis of vascular anomalies. Methods: Nine patients with histologically confirmed vascular anomalies were included. DNA was extracted from formalin-fixed paraffin-embedded tissue specimens obtained from affected tissue following diagnostic punch biopsies of the skin and core biopsies of the vascular malformation or tumor during sclerotherapy or surgical excision. Molecular analysis of the tissue samples was performed using AmpliSeq for Childhood Cancer DNA Assay Panel. Results: Two patients had antenatally detected vascular anomalies. The median age at diagnosis for the remaining patients was 7.0 years (IQR, 0.6–10.0 years). Seven were diagnosed with vascular malformations, while 2 had vascular tumors. Pathological somatic mutations were identified in 4 patients, leading to a diagnostic yield of 44.4%. Two different PIK3CA mutations were identified in 3 cases: 1 in a case of macrocystic lymphatic malformation, the other in a case of Congenital Lipomatous Overgrowth, Vascular malformations, Epidermal nevus, Spinal/Skeletal anomalies syndrome and Klippel–Trenaunay syndrome. BRAF mutation was identified in a patient with a veno-lymphatic malformation. Conclusion: An oncology next-generation sequencing panel can be used for genetic profiling of vascular anomalies. However, a more customized and sensitive panel may be of better diagnostic yield, as detection of somatic mutations in vascular anomalies is challenging due to tissue mosaicism, low-abundant genetic variants, and specimen limitations.

Real-World Experiences of Next-Generation Sequencing in Oncology: From an Indian Multicenter Registry and Collaborative Centers

Abstract Background The integration of next-generation sequencing (NGS) in guiding personalized therapy for oncology faces the challenges, primarily, of cost and drug accessibility. Limited data from Indian academic centers accentuate the need for comprehensive insights into the real-world applications of NGS in oncology. Methods The Network of Oncology Clinical Trials in India (NOCI), accessible at www.noci-india.com, compiled data on patients who underwent NGS for solid organ cancers from January 1, 2018, to December 31, 2021. This study aimed to elucidate the testing indications, sample types analyzed, and the resultant impact on patient care. Results Analysis of data from six centers included 278 subjects, with 24 specimens (9%) excluded due to quality test failure. Tissue constituted 59.7% of specimens, blood 38.5%, and both 1.8%. Predominantly, NGS was employed for identifying BRCA1/2 mutations (56%) and for targeted therapy in non-small-cell lung cancer (NSCLC; 28%). Only 41 (16%) patients with other cancers underwent multigene NGS panels in pursuit of targetable mutations. Among them, 13 exhibited targetable mutations, and 3 received treatment based on NGS findings. Conclusion This study underscores that the majority of NGS applications focused on screening for BRCA1/2 mutations and identifying targetable mutations in NSCLC. However, among those undergoing NGS for advanced cancers, only a limited number received personalized therapy. The findings underscore the challenges of utilizing NGS in off-label indications within resource-constrained settings.

Cancer treatment comes to age: from one-size-fits-all to next-generation sequencing (NGS) technologies.

Cancer is one of the leading causes of death worldwide and one of the greatest challenges in extending life expectancy. The paradigm of one-size-fits-all medicine has already given way to the stratification of patients by disease subtypes, clinical characteristics, and biomarkers (stratified medicine). The introduction of next-generation sequencing (NGS) in clinical oncology has made it possible to tailor cancer patient therapy to their molecular profiles. NGS is expected to lead the transition to precision medicine (PM), where the right therapeutic approach is chosen for each patient based on their characteristics and mutations. Here, we highlight how the NGS technology facilitates cancer treatment. In this regard, first, precision medicine and NGS technology are reviewed, and then, the NGS revolution in precision medicine is described. In the sequel, the role of NGS in oncology and the existing limitations are discussed. The available databases and bioinformatics tools and online servers used in NGS data analysis are also reviewed. The review ends with concluding remarks.

SPOT/Dx Pilot Reanalysis and College of American Pathologists Proficiency Testing for KRAS and NRAS Demonstrate Excellent Laboratory Performance.

The Sustainable Predictive Oncology Therapeutics and Diagnostics quality assurance pilot study (SPOT/Dx pilot) on molecular oncology next-generation sequencing (NGS) reportedly demonstrated performance limitations of NGS laboratory-developed tests, including discrepancies with a US Food and Drug Administration-approved companion diagnostic. The SPOT/Dx pilot methods differ from those used in proficiency testing (PT) programs. To reanalyze SPOT/Dx pilot data using PT program methods and compare to PT program data.Also see p. 136. The College of American Pathologists (CAP) Molecular Oncology Committee reanalyzed SPOT/Dx pilot data applying PT program methods, adjusting for confounding conditions, and compared them to CAP NGS PT program performance (2019-2022). Overall detection rates of KRAS and NRAS single-nucleotide variants (SNVs) and multinucleotide variants (MNVs) by SPOT/Dx pilot laboratories were 96.8% (716 of 740) and 81.1% (129 of 159), respectively. In CAP PT programs, the overall detection rates for the same SNVs and MNVs were 97.2% (2671 of 2748) and 91.8% (1853 of 2019), respectively. In 2022, the overall detection rate for 5 KRAS and NRAS MNVs in CAP PT programs was 97.3% (1161 of 1193). CAP PT program data demonstrate that laboratories consistently have high detection rates for KRAS and NRAS variants. The SPOT/Dx pilot has multiple design and analytic differences with established PT programs. Reanalyzed pilot data that adjust for confounding conditions demonstrate that laboratories proficiently detect SNVs and less successfully detect rare to never-observed MNVs. The SPOT/Dx pilot results are not generalizable to all molecular oncology testing and should not be used to market products or change policy affecting all molecular oncology testing.

A pilot study of on-site evaluation as external quality assessment for ISO 15189 accreditation of laboratories performing next-generation sequencing oncology tests.

As next-generation sequencing (NGS) oncology tests vary by platform, application, and target of genes, specific methods for external quality assessment (EQA) have not been universally applied. Hence, we have attempted to implement on-site evaluation as EQA in the accreditation program under ISO 15189 for laboratories that perform NGS oncology tests. A total of 10 laboratories that performed NGS oncology tests were enrolled. Two types of EQA samples were prepared (Acrometrix Oncology Hotspot Control DNA and OncoSpan gDNA DNA samples), and the variant allele frequency of targeted genes was assigned. The samples were subjected to NGS oncology tests in participant laboratories according to their routine protocols. Based on the result reports, auditors visited the participant laboratories to perform on-site evaluations and provided feedback regarding possible laboratory process improvement. The participant laboratories identified the targeted variants in the Acrometrix Oncology Hotspot Control DNA and OncoSpan gDNA samples with a success rate of 31-100% and 9.5-100%, respectively, compared with reference information, depending on their sequencing systems, and reported a few lower-variant allele frequencies. Six of the eight evaluated laboratories failed to report at least three pathogenic variants due to errors in wet-lab and/or dry-lab processes. Based on the feedback reports and self-assessment, auditors and laboratory staff discussed potential improvements to processes during on-site evaluations for laboratory accreditations. On-site evaluation as EQA for NGS oncology tests in the laboratory accreditation program under ISO 15189 was successfully implemented and proved applicable to a broad spectrum of NGS tests.

Identifying the Steps Required to Effectively Implement Next-Generation Sequencing in Oncology at a National Level in Europe.

Next-generation sequencing (NGS) may enable more focused and highly personalized cancer treatment, with the National Comprehensive Cancer Network and European Society for Medical Oncology guidelines now recommending NGS for daily clinical practice for several tumor types. However, NGS implementation, and therefore patient access, varies across Europe; a multi-stakeholder collaboration is needed to establish the conditions required to improve this discrepancy. In that regard, we set up European Alliance for Personalised Medicine (EAPM)-led expert panels during the first half of 2021, including key stakeholders from across 10 European countries covering medical, economic, patient, industry, and governmental expertise. We describe the outcomes of these panels in order to define and explore the necessary conditions for NGS implementation into routine clinical care to enable patient access, identify specific challenges in achieving them, and make short- and long-term recommendations. The main challenges identified relate to the demand for NGS tests (governance, clinical standardization, and awareness and education) and supply of tests (equitable reimbursement, infrastructure for conducting and validating tests, and testing access driven by evidence generation). Recommendations made to resolve each of these challenges should aid multi-stakeholder collaboration between national and European initiatives, to complement, support, and mutually reinforce efforts to improve patient care.

Custom Pediatric Oncology Next-Generation Sequencing Panel Identifies Somatic Mosaicism in Archival Tissue and Enhances Targeted Clinical Care

BackgroundDisorders in the PIK3CA-related overgrowth spectrum because of somatic mosaicism are associated with segmental overgrowth of the body in conjunction with vascular, skeletal, and brain malformations such as hemimegalencephaly. A pathogenic variant may only be detectable in affected tissue and not in peripheral blood or saliva samples; therefore archival tissue may be the only relevant available specimen for testing. Although this is a common approach for cancer testing, it is not typically used for constitutional genetic disorders. MethodsPIK3CA mosaicism was assessed with a custom pediatric oncology next-generation sequencing panel (OncoKids) designed to capture somatic mutations in pediatric malignancies. The panel covers a wide range of targets including PIK3CA and AKT1 hotspots. We used OncoKids on archival formalin-fixed, paraffin-embedded or frozen samples from seven patients with facial hemihypertrophy and lipomas, hemimegalencephaly, or hemihypertrophy with a lymphovascular malformation. The age of the archival tissue examined by next-generation sequencing ranged from two to 13 years (median 5 years). Every patient had clinical manifestations within the PIK3CA-related overgrowth spectrum and had a sample of an affected tissue available for testing from a prior surgical intervention. ResultsPIK3CA mosaicism was detected in all seven patients and the mutant allele fraction was lower in the lymphovascular malformation tissues (8% to 11%) than in brain (20% to 32%) and lipomatous (16% to 23%) tissues. ConclusionsOur study highlights the clinical utility of using a robust, oncology-focused next-generation sequencing assay to identify PIK3CA mosaicism in noncancer cases. It is feasible to use archival samples that are more than a decade old to obtain a molecular diagnosis, which can then be used to improve health care management.

Assessment of a Highly Curated Somatic Oncology Database to Aid in the Interpretation of Clinically Important Variants in Next-Generation Sequencing Results

This study evaluated the accuracy of NAVIFY Mutation Profiler, a cloud-based CE-IVD software that aids in interpreting clinically relevant variants detected in somatic oncology next-generation sequencing tests. This tool reports tiered classifications based on different levels of clinical evidence from a highly curated, regularly updated database derived from medical guidelines, drug approvals, and peer-reviewed literature. A retrospective analysis was performed on next-generation sequencing results from 37 lung cancer cases treated with chemotherapy (n=10), EGFR tyrosine kinase inhibitor (TKI) (n=5), or ALK TKI (n=22). Several aspects were assessed, including accuracy of interpretation compared with manual curation, validity of curation content updates over time, and agreement with public databases. For chemotherapy cases with no targetable biomarkers, NAVIFY Mutation Profiler did not identify any targeted therapies. In EGFR and ALK TKI cases, the software associated appropriate targeted therapies and accurately interpreted variant combinations containing drug-resistance variants. Of the nine unique ALK mutations conferring resistance to crizotinib, NAVIFY Mutation Profiler provided correct annotation for all mutations, whereas OncoKB and Catalogue of Somatic Mutations in Cancer indicated crizotinib resistance for eight of nine mutations. For 145 variants analyzed, NAVIFY Mutation Profiler and OncoKB showed substantial agreement (Cohen κ = 0.62) for classifying actionable mutations. Furthermore, NAVIFY Mutation Profiler presented accurate targeted therapies across different regions and remained up-to-date with evolving regional approvals and medical guidelines.

Abstract B07: Prospective germline next-generation sequencing in pediatric patients with neuroblastoma identifies frequent alterations in genes involved in DNA damage repair

Abstract Background: The role of germline ALK and PHOX2B variants in genetic predisposition to neuroblastoma (NB) is well established; however, alterations in genes associated with other syndromes, including RASopathies, Fanconi anemia, and Li-Fraumeni, have also been detected. Emerging data suggest potential roles for DNA damage repair (DDR) pathway genes in NB predisposition. The use of next-generation sequencing (NGS) technologies facilitates the unbiased detection of both known and novel germline variants. Methods: Patients (pts) with newly diagnosed and relapsed malignancies, including 43 NB pts, were referred to our institutional pediatric oncology NGS study to sequence germline DNA, tumor DNA, and RNA. Germline DNA was sequenced using a custom pediatric cancer panel (Agilent Sure Select capture technology) targeting 15,000 exons across 864 genes (1000x coverage). Variant pathogenicity was classified according to ACMG (American College of Medical Genetics and Genomics) criteria and evaluated at multidisciplinary molecular tumor boards. Rare variants of uncertain significance (VUS) with supportive corresponding somatic data, patient phenotypes, literature, and/or in-silico functional analyses were termed “Variants of uncertain significance with limited evidence for pathogenicity” (VUS-LEP). Results: Analyses have been completed for 41/43 enrolled NB pts. Patient history was retrospectively categorized as “high genetic predisposition risk” (HGPR) in 14/41 pts based on ≥1 of the following criteria: (1) family history of NB and/or significant family history of other cancer(s); (2) patient with NB and another metachronous or synchronous malignancy; (3) NB with congenital abnormalities; (4) multifocal NB. Germline pathogenic (P), likely pathogenic (LP) variants, or VUS-LEP in a known cancer predisposition gene were identified in 6/14 HGPR pts (43%), predominantly in DDR-related genes (PALB2, BRCA1/CHEK2, CHEK2/PALB2, NF1, DICER1, MITF). Of note, no ALK or PHOX2B germline variants were identified for the five pts with NB family history. For the 27 non-HGPR pts, germline P, LP variants or VUS-LEP in DDR genes were most prevalent and detected in 8/27 pts (30%), in genes such as BAP1, BARD1 (n=2), BLM, BRCA2, CHEK2, RAD51, RAD51D/NBN. In this non-HGPR population, we also identified a germline P TP53 variant (n=1), a LP FH variant (n=1) as well as additional germline VUS-LEPs in EZH2 (n=1) and ERCC2 (n=1). Conclusion: Prospective sequencing identified frequent germline variants in NB pts, predominantly in genes involved in DDR and homologous recombination, regardless of classification as HGPR. We intend to complete and report somatic characterization of the tumors, with a focus on mutational signatures and 11q loss encompassing ATM. Our findings may have implications for future targeted treatment recommendations (e.g., PARP inhibitors) as well as for appropriate genetic counseling for pts and families. Citation Format: Sarah Cohen-Gogo, Karin Langenberg-Ververgaert, Anita Villani, Winnie Lo, Ted Young, Nisha Kanwar, Scott Davidson, Nathaniel Anderson, Bailey Gallinger, Mehdi Layeghifard, Larissa Waldman, Daniel Morgenstern, Ledia Brunga, Stephen Meyn, David Malkin, Adam Shlien, Meredith Irwin. Prospective germline next-generation sequencing in pediatric patients with neuroblastoma identifies frequent alterations in genes involved in DNA damage repair [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B07.

Automated Workflow for Somatic and Germline Next Generation Sequencing Analysis in Routine Clinical Cancer Diagnostics.

Thanks to personalized medicine trends and collaborations between industry, clinical research groups and regulatory agencies, next generation sequencing (NGS) is turning into a common practice faster than one could have originally expected. When considering clinical applications of NGS in oncology, a rapid workflow for DNA extraction from formalin-fixed paraffin-embedded (FFPE) tissue samples, as well as producing high quality library preparation, can be real challenges. Here we consider these targets and how applying effective automation technology to NGS workflows may help improve yield, timing and quality-control. We firstly evaluated DNA recovery from archived FFPE blocks from three different manual extraction methods and two automated extraction workstations. The workflow was then implemented to somatic (lung/colon panel) and germline (BRCA1/2) library preparation for NGS analysis exploiting two automated workstations. All commercial kits gave good results in terms of DNA yield and quality. On the other hand, the automated workstation workflow has been proven to be a valid automatic extraction system to obtain high quality DNA suitable for NGS analysis (lung/colon Ampli-seq panel). Moreover, it can be efficiently integrated with an open liquid handling platform to provide high-quality libraries from germline DNA with more reproducibility and high coverage for targeted sequences in less time (BRCA1/2). The introduction of automation in routine workflow leads to an improvement of NGS standardization and increased scale up of sample preparations, reducing labor and timing, with optimization of reagents and management.

A Canadian guideline on the use of next-generation sequencing in oncology.

Rapid advancements in next-generation sequencing (ngs) technology have created an unprecedented opportunity to decipher the molecular profile of tumours to more effectively prevent, diagnose, and treat cancer. Oncologists now have the option to order molecular tests that can guide treatment decisions. However, to date, most oncologists have received limited training in genomics, and they are now faced with the challenge of understanding how such tests and their interpretation align with patient management. Guidance on how to effectively use ngs technology is therefore needed to aid oncologists in applying the results of genomic tests. The Canadian guideline presented here describes best practices and unmet needs related to ngs-based testing for somatic variants in oncology, including clinical application, assay and sample selection, bioinformatics and interpretation of reports performed by laboratories, patient communication, and clinical trials.

Current Coverage of the mTOR Pathway by Next-Generation Sequencing Oncology Panels

The mTOR pathway is in the process of establishing itself as a key access-point of novel oncological drugs and targeted therapies. This is also reflected by the growing number of mTOR pathway genes included in commercially available next-generation sequencing (NGS) oncology panels. This review summarizes the portfolio of medium sized diagnostic, as well as research destined NGS panels and their coverage of the mTOR pathway, including 16 DNA-based panels and the current gene list of Foundation One as a major reference entity. In addition, we give an overview of interesting, mTOR-associated somatic mutations that are not yet incorporated. Especially eukaryotic translation initiation factors (eIFs), a group of mTOR downstream proteins, are on the rise as far as diagnostics and drug targeting in precision medicine are concerned. This review aims to raise awareness for the true coverage of NGS panels, which should be valuable in selecting the ideal platform for diagnostics and research.

Next Generation Sequencing (NGS): A Revolutionary Technology in Pharmacogenomics and Personalized Medicine in Cancer.

Following the completion of the Human Genome Project in 2003, research in oncology has progressively focused on the sequencing of cancer genomes, with the aim of better understanding the genetic basis of oncogenesis and identifying actionable alterations. The development of next-generation-sequencing (NGS) techniques, commercially available since 2006, allowed for a cost- and time-effective sequencing of tumor DNA, leading to a "genomic era" of cancer research and treatment. NGS provided a significant step forward in Personalized Medicine (PM) by enabling the detection of somatic driver mutations, resistance mechanisms, quantification of mutational burden, germline mutations which settled the foundation of a new approach in cancer care. In this chapter we discuss the history, available techniques and applications of NGS in oncology, with a particular referral to the PM approach and the emerging role of the research field of pharmacogenomics.

Increasing access to next-generation sequencing in oncology for Brazil.

Increasing access to next-generation sequencing in oncology for Brazil.

Validation of a next-generation sequencing oncology panel optimized for low input DNA

One caveat of next-generation sequencing (NGS)-based clinical oncology testing is the high amount of input DNA required. We sought to develop a focused NGS panel that could capture hotspot regions in relevant genes requiring 0.5–10 ng input DNA. The resulting Penn Precision Panel (PPP) targeted 20 genes containing clinically significant variants relevant to many cancers. One hundred twenty-three samples were analyzed, including 83 solid tumor specimens derived from FFPE. Various input quantities of DNA (0.5–10 ng) were amplified with content-specific PCR primer pools, then sequenced on a MiSeq instrument (Illumina, Inc.) via paired-end, 2 × 186 base pair reads to an average read depth of greater than 6500x. Variants were detected using an in-house analysis pipeline. Clinical sensitivity and specificity were assessed using results from our previously validated solid tumor NGS panel; sensitivity of the PPP is 96.75% (387/400 variants) and specificity is 99.9% (8427/8428 base pairs). Variant allele frequencies (VAFs) are highly concordant across both assays (r = 0.98 p < 0.0001). The PPP is a robust, clinically validated test optimized for low-yield solid tumor specimens, capturing a high percentage of clinically relevant variants found by larger commercially available NGS panels while using only 0.5–10 ng of input DNA.

PCN145 - Economic Value of Next Generation Sequencing Panels in Oncology - A Market Development Perspective

Next generation sequencing (NGS) panels are being used increasingly in oncology to test many genes at once, identify different mutation types, improve patient enrollment for clinical trials and guide targeted therapy decisions. Our objective was to review the current landscape of economic studies of NGS in oncology, identify the gaps in the literature and suggest recommendations to address those gaps. We conducted a review of the literature from January 2007 to July 2017 using specific search terms in different databases including, PubMed, Embase, National Health Service (NHS) Economic Evaluation Database (EED) and EconLit. We assessed the data on costs, outcomes, choice of comparator, timeframe of analysis and the method of economic evaluation used for NGS panels in cancer patients. We identified 12 original economic evaluation studies: cost-effectiveness analyses were the most common methods of economic evaluations (N=5) followed by micro-costing and budget impact (N=3), cost comparison (N=2), cost of care (N=1), and cost analysis based on retrospective databases (N=1). We found significant variability between studies, impacting the ability to draw firm conclusions: 1) studies evaluated NGS in 9 different populations based on tumor types 2) the choice of comparator was not similar across the economic studies 3) there was a lack of consistency in the assumptions for resource costs. Finally, we noted that studies analyzed population health outcomes (e.g. cost of treatment, life years added and quality of life of patients) over patient centered outcomes (e.g. the value of possessing genomic information or its impact on medication adherence). Economic utility evidence associated with NGS panels in oncology is inadequate to date, and this variability on the data of economic parameters may be contributing to negative or delayed coverage decisions from healthcare payers. We suggest a checklist for future economic evaluation studies of NGS panels in oncology.

FDA Approval Summary: Dabrafenib and Trametinib for the Treatment of Metastatic Non-Small Cell Lung Cancers Harboring BRAF V600E Mutations.

The approvals of dabrafenib and trametinib, administered concurrently, provide a new regimen for the treatment of a rare subset of non-small cell lung cancer (NSCLC) and demonstrate how drugs active for treatment of BRAF-mutant tumors in one setting predict efficacy and can provide supportive evidence for approval in another setting. The FDA also approved the first next-generation sequencing oncology panel test for simultaneous assessment of multiple actionable mutations, which will facilitate selection of optimal, personalized therapy. The test was shown to accurately and reliably select patients with NSCLC with the BRAF V600E mutation for whom treatment with dabrafenib and trametinib is the optimal treatment.

A general model for cancer centers to conduct health technology assessments; a practical case of next generation sequencing in oncology

A general model for cancer centers to conduct health technology assessments; a practical case of next generation sequencing in oncology

Next-Generation Sequencing in Oncology: Genetic Diagnosis, Risk Prediction and Cancer Classification.

Next-generation sequencing (NGS) technology has expanded in the last decades with significant improvements in the reliability, sequencing chemistry, pipeline analyses, data interpretation and costs. Such advances make the use of NGS feasible in clinical practice today. This review describes the recent technological developments in NGS applied to the field of oncology. A number of clinical applications are reviewed, i.e., mutation detection in inherited cancer syndromes based on DNA-sequencing, detection of spliceogenic variants based on RNA-sequencing, DNA-sequencing to identify risk modifiers and application for pre-implantation genetic diagnosis, cancer somatic mutation analysis, pharmacogenetics and liquid biopsy. Conclusive remarks, clinical limitations, implications and ethical considerations that relate to the different applications are provided.