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El Hejjioui B, Bouguenouch L, Melhouf MA, El Mouhi H, Bennis S. Clinical Evidence of Circulating Tumor DNA Application in Aggressive Breast Cancer. Diagnostics (Basel) 2023; 13:470. [PMID: 36766575 PMCID: PMC9914403 DOI: 10.3390/diagnostics13030470] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/28/2022] [Accepted: 01/01/2023] [Indexed: 01/31/2023] Open
Abstract
Breast cancer is clinically and biologically heterogeneous and is classified into different subtypes according to the molecular landscape of the tumor. Triple-negative breast cancer is a subtype associated with higher tumor aggressiveness, poor prognosis, and poor response to treatment. In metastatic breast cancer, approximately 6% to 10% of new breast cancer cases are initially staged IV (de novo metastatic disease). The number of metastatic recurrences is estimated to be 20-30% of all existing breast tumor cases, whereby the need to develop specific genetic markers to improve the prognosis of patients suffering from these deadly forms of breast cancer. As an alternative, liquid biopsy methods can minutely identify the molecular architecture of breast cancer, including aggressive forms, which provides new perspectives for more precise diagnosis and more effective therapeutics. This review aimed to summarize the current clinical evidence for the application of circulating tumor DNA in managing breast cancer by detailing the increased usefulness of this biomarker as a diagnostic, prognostic, monitoring, and surveillance marker for breast cancer.
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Affiliation(s)
- Brahim El Hejjioui
- Biomedical and Translational Research Laboratory, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez 30050, Morocco
- Department of Medical Genetics and Oncogenetics, HASSAN II University Hospital, Fez 30050, Morocco
| | - Laila Bouguenouch
- Department of Medical Genetics and Oncogenetics, HASSAN II University Hospital, Fez 30050, Morocco
| | | | - Hind El Mouhi
- Department of Medical Genetics and Oncogenetics, HASSAN II University Hospital, Fez 30050, Morocco
| | - Sanae Bennis
- Biomedical and Translational Research Laboratory, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez 30050, Morocco
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Cadenas-Castrejón E, Verleyen J, Boukadida C, Díaz-González L, Taboada B. Evaluation of tools for taxonomic classification of viruses. Brief Funct Genomics 2023; 22:31-41. [PMID: 36335985 DOI: 10.1093/bfgp/elac036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/21/2022] [Accepted: 09/28/2022] [Indexed: 11/09/2022] Open
Abstract
Viruses are the most abundant infectious agents on earth, and they infect living organisms such as bacteria, plants and animals, among others. They play an important role in the balance of different ecosystems by modulating microbial populations. In humans, they are responsible for some common diseases and may cause severe illnesses. Viral metagenomic studies have become essential and offer the possibility to understand and extend the knowledge of virus diversity and functionality. For these approaches, an essential step is the classification of viral sequences. In this work, 11 taxonomic classification tools were compared by analysing their performances, in terms of sensitivity and precision, to classify reads at the species and family levels using the same (viral and nonviral) datasets and evaluation metrics, as well as their processing times and memory requirements. The results showed that factors such as richness (numbers of viral species in samples), taxonomic level in the classification and read length influence tool performance. High values of viral richness in samples decreased the performances of most tools. Additionally, the classifications were better at higher taxonomic levels, such as families, compared to lower taxonomic levels, such as species, and were more evident in short reads. The results also indicated that BLAST and Kraken2 were the best tools for classifying all types of reads, while FastViromeExplorer and VirusFinder were only good when used for long reads and Centrifuge, DIAMOND, and One Codex when used for short reads. Regarding nonviral datasets (human and bacterial), all tools correctly classified them as nonviral.
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Lin C, Liu X, Zheng B, Ke R, Tzeng CM. Liquid Biopsy, ctDNA Diagnosis through NGS. Life (Basel) 2021; 11:life11090890. [PMID: 34575039 PMCID: PMC8468354 DOI: 10.3390/life11090890] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/08/2021] [Accepted: 08/11/2021] [Indexed: 12/15/2022] Open
Abstract
Liquid biopsy with circulating tumor DNA (ctDNA) profiling by next-generation sequencing holds great promise to revolutionize clinical oncology. It relies on the basis that ctDNA represents the real-time status of the tumor genome which contains information of genetic alterations. Compared to tissue biopsy, liquid biopsy possesses great advantages such as a less demanding procedure, minimal invasion, ease of frequent sampling, and less sampling bias. Next-generation sequencing (NGS) methods have come to a point that both the cost and performance are suitable for clinical diagnosis. Thus, profiling ctDNA by NGS technologies is becoming more and more popular since it can be applied in the whole process of cancer diagnosis and management. Further developments of liquid biopsy ctDNA testing will be beneficial for cancer patients, paving the way for precision medicine. In conclusion, profiling ctDNA with NGS for cancer diagnosis is both biologically sound and technically convenient.
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Affiliation(s)
- Chen Lin
- School of Medicine, Huaqiao University, Quanzhou 362021, China; (C.L.); (X.L.)
| | - Xuzhu Liu
- School of Medicine, Huaqiao University, Quanzhou 362021, China; (C.L.); (X.L.)
| | - Bingyi Zheng
- Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China;
- Xiamen Key Laboratory of Cancer Cell Theranostics and Clinical Translation, Xiamen 361102, China
| | - Rongqin Ke
- School of Medicine, Huaqiao University, Quanzhou 362021, China; (C.L.); (X.L.)
- Correspondence: (R.K.); (C.-M.T.)
| | - Chi-Meng Tzeng
- Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China;
- Xiamen Key Laboratory of Cancer Cell Theranostics and Clinical Translation, Xiamen 361102, China
- Correspondence: (R.K.); (C.-M.T.)
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Sivapalan L, Kocher H, Ross-Adams H, Chelala C. Molecular profiling of ctDNA in pancreatic cancer: Opportunities and challenges for clinical application. Pancreatology 2021; 21:363-378. [PMID: 33451936 PMCID: PMC7994018 DOI: 10.1016/j.pan.2020.12.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/16/2020] [Accepted: 12/21/2020] [Indexed: 01/10/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is predicted to become the second leading cause of cancer-related mortality within the next decade, with limited effective treatment options and a dismal long-term prognosis for patients. Genomic profiling has not yet manifested clinical benefits for diagnosis, treatment or prognosis in PDAC, due to the lack of available tissues for sequencing and the confounding effects of low tumour cellularity in many biopsy specimens. Increasing focus is now turning to the use of minimally invasive liquid biopsies to enhance the characterisation of actionable PDAC tumour genomes. Circulating tumour DNA (ctDNA) is the most comprehensively studied liquid biopsy analyte in blood and can provide insight into the molecular profile and biological characteristics of individual PDAC tumours, in real-time and in advance of traditional imaging modalities. This can pave the way for identification of new therapeutic targets, novel risk variants and markers of tumour response, to supplement diagnostic screening and provide enhanced scrutiny in treatment stratification. In the roadmap towards the application of precision medicine for clinical management in PDAC, ctDNA analyses may serve a leading role in streamlining candidate biomarkers for clinical integration. In this review, we highlight recent developments in the use of ctDNA-based liquid biopsies for PDAC and provide new insights into the technical, analytical and biological challenges that must be overcome for this potential to be realised.
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Affiliation(s)
- L. Sivapalan
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK
| | - H.M. Kocher
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK
| | - H. Ross-Adams
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK
| | - C. Chelala
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK,Corresponding author.
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Abstract
Application of next generation sequencing techniques in the field of liquid biopsy, in particular urine, requires specific bioinformatics methods in order to deal with its peculiarity. Many aspects of cancer can be explored starting from nucleic acids, especially from cell-free DNA and circulating tumor DNA in order to characterize cancer. It is possible to detect small mutations, as single nucleotide variants, small insertions and deletions, copy-number alterations, and epigenetic profiles. Due to the low fraction of circulating tumor DNA over the whole cell-free DNA, some methods have been exploited. One of them is the application of unique barcodes to each DNA fragment in order to lower the limit of detection of cancer-related variants. Some bioinformatics workflows and tools are the same of a classic analysis of tumor tissue, but there are some steps in which specific algorithms have to be introduced.
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He B, Zhu R, Yang H, Lu Q, Wang W, Song L, Sun X, Zhang G, Li S, Yang J, Tian G, Bing P, Lang J. Assessing the Impact of Data Preprocessing on Analyzing Next Generation Sequencing Data. Front Bioeng Biotechnol 2020; 8:817. [PMID: 32850708 PMCID: PMC7409520 DOI: 10.3389/fbioe.2020.00817] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 06/26/2020] [Indexed: 11/13/2022] Open
Abstract
Data quality control and preprocessing are often the first step in processing next-generation sequencing (NGS) data of tumors. Not only can it help us evaluate the quality of sequencing data, but it can also help us obtain high-quality data for downstream data analysis. However, by comparing data analysis results of preprocessing with Cutadapt, FastP, Trimmomatic, and raw sequencing data, we found that the frequency of mutation detection had some fluctuations and differences, and human leukocyte antigen (HLA) typing directly resulted in erroneous results. We think that our research had demonstrated the impact of data preprocessing steps on downstream data analysis results. We hope that it can promote the development or optimization of better data preprocessing methods, so that downstream information analysis can be more accurate.
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Affiliation(s)
- Binsheng He
- Academician Workstation, Changsha Medical University, Changsha, China
| | - Rongrong Zhu
- Vascular Surgery Department, Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Huandong Yang
- Department of Gastrointestinal Surgery, Yidu Central Hospital of Weifang, Weifang, China
| | | | | | - Lei Song
- Geneis Beijing Co., Ltd., Beijing, China
| | - Xue Sun
- Geneis Beijing Co., Ltd., Beijing, China
| | | | - Shijun Li
- Department of Pathology, Chifeng Municipal Hospital, Chifeng, China
| | - Jialiang Yang
- Academician Workstation, Changsha Medical University, Changsha, China.,Geneis Beijing Co., Ltd., Beijing, China
| | - Geng Tian
- Geneis Beijing Co., Ltd., Beijing, China
| | - Pingping Bing
- Academician Workstation, Changsha Medical University, Changsha, China
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Franczak C, Filhine-Tresarrieu P, Gilson P, Merlin JL, Au L, Harlé A. Technical considerations for circulating tumor DNA detection in oncology. Expert Rev Mol Diagn 2019; 19:121-135. [DOI: 10.1080/14737159.2019.1568873] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Claire Franczak
- Service de Biopathologie, Institut de Cancérologie de Lorraine, Vandoeuvre les Nancy, France
| | | | - Pauline Gilson
- Service de Biopathologie, Institut de Cancérologie de Lorraine, Université de Lorraine, CNRS UMR 7039 CRAN, Nancy, France
| | - Jean-Louis Merlin
- Service de Biopathologie, Institut de Cancérologie de Lorraine, Université de Lorraine, CNRS UMR 7039 CRAN, Nancy, France
| | - Lewis Au
- Skin and Renal Units, The Royal Marsden NHS Foundation Trust, London, UK
| | - Alexandre Harlé
- Service de Biopathologie, Institut de Cancérologie de Lorraine, Université de Lorraine, CNRS UMR 7039 CRAN, Nancy, France
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Palmirotta R, Lovero D, Cafforio P, Felici C, Mannavola F, Pellè E, Quaresmini D, Tucci M, Silvestris F. Liquid biopsy of cancer: a multimodal diagnostic tool in clinical oncology. Ther Adv Med Oncol 2018; 10:1758835918794630. [PMID: 30181785 PMCID: PMC6116068 DOI: 10.1177/1758835918794630] [Citation(s) in RCA: 268] [Impact Index Per Article: 44.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 06/28/2018] [Indexed: 12/17/2022] Open
Abstract
Over the last decades, the concept of precision medicine has dramatically renewed
the field of medical oncology; the introduction of patient-tailored therapies
has significantly improved all measurable outcomes. Liquid biopsy is a
revolutionary technique that is opening previously unexpected perspectives. It
consists of the detection and isolation of circulating tumor cells, circulating
tumor DNA and exosomes, as a source of genomic and proteomic information in
patients with cancer. Many technical hurdles have been resolved thanks to newly
developed techniques and next-generation sequencing analyses, allowing a broad
application of liquid biopsy in a wide range of settings. Initially correlated
to prognosis, liquid biopsy data are now being studied for cancer diagnosis,
hopefully including screenings, and most importantly for the prediction of
response or resistance to given treatments. In particular, the identification of
specific mutations in target genes can aid in therapeutic decisions, both in the
appropriateness of treatment and in the advanced identification of secondary
resistance, aiming to early diagnose disease progression. Still application is
far from reality but ongoing research is leading the way to a new era in
oncology. This review summarizes the main techniques and applications of liquid
biopsy in cancer.
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Affiliation(s)
- Raffaele Palmirotta
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Domenica Lovero
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Paola Cafforio
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Claudia Felici
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Francesco Mannavola
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Eleonora Pellè
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Davide Quaresmini
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Marco Tucci
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, Italy
| | - Franco Silvestris
- Section of Clinical and Molecular Oncology, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Bari, 70124, Italy
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