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Aiyer S, Kim TH, Collier K, Pollock R, Verschraegen C, Stover DG, Tinoco G. Unlocking the Potential of ctDNA in Sarcomas: A Review of Recent Advances. Cancers (Basel) 2025; 17:1040. [PMID: 40149373 PMCID: PMC11941651 DOI: 10.3390/cancers17061040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2025] [Revised: 03/14/2025] [Accepted: 03/17/2025] [Indexed: 03/29/2025] Open
Abstract
Soft tissue sarcomas (STSs) constitute a group of tumors with heterogeneous alterations and different biological behavior. Genetic profiling techniques have immense potential to revolutionize sarcoma classification, detection, and treatment. Cell-free DNA (cfDNA) analysis offers a minimally invasive approach to profiling tumor alterations, including tracking specific mutations or targeted panels of cancer-related genes via DNA sequencing methods. Circulating tumor DNA (ctDNA) platforms have gained popularity as a noninvasive alternative to tissue biopsies, offering a less invasive approach to tumor profiling. Nonetheless, ctDNA profiling in concordance with standard solid tumor comprehensive genomic profiling (CGP) is poorly characterized for STSs. Ultra-low-pass whole-genome sequencing and whole exome sequencing of cfDNA have yet to be fully leveraged in patients with sarcomas. This comprehensive review provides an overview of the application of ctDNA in STSs.
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Affiliation(s)
- Sahana Aiyer
- College of Medicine, The Ohio State University, Columbus, OH 43210, USA; (S.A.); (T.-H.K.)
| | - Tae-Hee Kim
- College of Medicine, The Ohio State University, Columbus, OH 43210, USA; (S.A.); (T.-H.K.)
| | - Katharine Collier
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.C.); (C.V.); (D.G.S.)
| | - Raphael Pollock
- Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA;
| | - Claire Verschraegen
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.C.); (C.V.); (D.G.S.)
| | - Daniel G. Stover
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.C.); (C.V.); (D.G.S.)
| | - Gabriel Tinoco
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.C.); (C.V.); (D.G.S.)
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Micallef P, Santamaría ML, Escobar M, Andersson D, Österlund T, Mouhanna P, Filges S, Johansson G, Fagman H, Vannas C, Ståhlberg A. Digital sequencing is improved by using structured unique molecular identifiers. Genome Biol 2025; 26:37. [PMID: 40001095 PMCID: PMC11853513 DOI: 10.1186/s13059-025-03504-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 02/12/2025] [Indexed: 02/27/2025] Open
Abstract
Digital sequencing uses unique molecular identifiers (UMIs) to correct for polymerase induced errors and amplification biases. Here, we design 19 different structured UMIs to minimize the capacity of primers to form non-specific PCR products during library construction using SiMSen-Seq, a PCR-based digital sequencing approach with flexible multiplexing capabilities suitable for tumor-informed mutation analysis. All structured UMI designs demonstrate enhanced assay performance compared with an unstructured reference UMI. The best performing structured UMI design shows significant improvements in all tested aspects of assay and sequencing performance with the ability to reliable detect low variant allele frequencies.
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Affiliation(s)
- Peter Micallef
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | - Manuel Luna Santamaría
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, 413 90, Sweden
| | - Mandy Escobar
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
| | - Daniel Andersson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
| | - Tobias Österlund
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, 413 90, Sweden
| | - Pia Mouhanna
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Department of Oncology, Ryhov County Hospital, Jönköping, 551 85, Sweden
| | - Stefan Filges
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Simsen Diagnostics AB, 411 26, Gothenburg, Sweden
| | - Gustav Johansson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, 413 90, Sweden
- Simsen Diagnostics AB, 411 26, Gothenburg, Sweden
| | - Henrik Fagman
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | - Christoffer Vannas
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | - Anders Ståhlberg
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 413 90, Sweden.
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden.
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, 413 90, Sweden.
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Mechahougui H, Hildebrand L, Haberberger J, Sivakumar S, Saiji E, Tukachinsky H, Madison R, Killian JK, Huang RSP, Elvin JA, Marks E, Heinrich MC, Koessler T, Lin DI. Clinical Use of Liquid-Based Comprehensive Genomic Profiling in Gastrointestinal Stromal Tumors. J Transl Med 2025; 105:104116. [PMID: 39984125 DOI: 10.1016/j.labinv.2025.104116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 01/29/2025] [Accepted: 02/06/2025] [Indexed: 02/23/2025] Open
Abstract
Treatment for gastrointestinal stromal tumor (GIST) focuses on tyrosine kinase inhibitors, the selection of which depends on specific mutations. We sought to determine the clinical use of liquid biopsy in advanced GIST. Liquid (n = 181) (FoundationOne Liquid CDx) and tissue (n = 2198) (FoundationOne and FoundationOne CDx) comprehensive genomic profiling of GIST were evaluated. The presence of circulating tumor DNA in liquid was determined via tumor fraction (TF), with an elevated TF defined as TF ≥ 1%. Liquid comprehensive genomic profiling revealed 30% (54/181) of samples had an elevated TF, among which the prevalence of KIT and PDGFRA alterations were 89% (48/54) and 2% (1/54), respectively. In patient-matched tissue/liquid samples (n = 49), the positive percent agreement of driver alterations in liquid with an elevated TF relative to tissue was 100%. Fifty-five percent (42/77) of liquid samples with a KIT driver mutation had a co-occurring imatinib-resistant alteration; a minority of cases harbored non-KIT mechanisms of resistance such as FGFR2 fusions and BRAF or EGFR alterations. The relative prevalence of imatinib resistance KIT exon 13 and 17 mutations was enriched in liquid compared with tissue. Finally, in the liquid cohort, 2.2%, 1.7%, and 1.1% of patients were predicted to harbor germline KIT, SDHx, or NF1 mutations, respectively. In conclusion, known driver and tyrosine kinase inhibitor--resistant mutations were identified in liquid biopsies of patients with GIST with high concordance to tissue in the presence of an elevated TF. Liquid biopsy may be valuable in the molecular classification and medical management of GIST.
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Affiliation(s)
| | - Lindsey Hildebrand
- Division of Hematology & Medical Oncology, Boston Medical Center, Boston, Massachusetts
| | | | | | - Essia Saiji
- Geneva University Hospital, Geneva, Switzerland
| | | | | | | | | | | | - Eric Marks
- Division of Hematology & Medical Oncology, Boston Medical Center, Boston, Massachusetts
| | - Michael C Heinrich
- Portland Veterans Affairs Health Care System, Portland, Oregon; Division of Hematology and Oncology, Oregon Health & Science University Knight Cancer Institute, Portland, Oregon
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Smolle MA, Seidel MG, Kashofer K, Liegl-Atzwanger B, Sadoghi P, Müller DA, Leithner A. Precision medicine in diagnosis, prognosis, and disease monitoring of bone and soft tissue sarcomas using liquid biopsy: a systematic review. Arch Orthop Trauma Surg 2025; 145:121. [PMID: 39797974 PMCID: PMC11724793 DOI: 10.1007/s00402-024-05711-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 11/27/2024] [Indexed: 01/13/2025]
Abstract
INTRODUCTION Liquid biopsy as a non-invasive method to investigate cancer biology and monitor residual disease has gained significance in clinical practice over the years. Whilst its applicability in carcinomas is well established, the low incidence and heterogeneity of bone and soft tissue sarcomas explains the less well-established knowledge considering liquid biopsy in these highly malignant mesenchymal neoplasms. MATERIALS AND METHODS A systematic literature review adhering to the PRISMA guidelines initially identified 920 studies, of whom 68 original articles could be finally included, all dealing with clinical applicability of liquid biopsy in sarcoma. Studies were discussed within two main chapters, i.e. translocation-associated and complex-karyotype sarcomas. RESULTS Overall, data on clinical applicability of liquid biopsy in 2636 patients with > 10 different entities of bone and soft tissue sarcomas could be summarised. The five most frequent tumour entities included osteosarcoma (n = 602), Ewing sarcoma (n = 384), gastrointestinal stromal tumour (GIST; n = 203), rhabdomyosarcoma (n = 193), and leiomyosarcoma (n = 145). Of 11 liquid biopsy analytes, largest evidence was present for ctDNA and cfDNA, investigated in 26 and 18 studies, respectively. CONCLUSIONS This systematic literature review provides an extensive up-to-date overview about the current and potential future uses of different liquid biopsy modalities as diagnostic, prognostic, and disease monitoring markers in sarcoma.
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Affiliation(s)
- Maria Anna Smolle
- Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Markus G Seidel
- Research Unit for Cancer and Inborn Errors of the Blood and Immunity in Children, Division of Paediatric and Adolescent Haematology/Oncology, Department of Paediatric and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 38, 8036, Graz, Austria
| | - Karl Kashofer
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria
| | - Bernadette Liegl-Atzwanger
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010, Graz, Austria
| | - Patrick Sadoghi
- Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Daniel A Müller
- Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland
| | - Andreas Leithner
- Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria.
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5
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Andersson D, Kebede FT, Escobar M, Österlund T, Ståhlberg A. Principles of digital sequencing using unique molecular identifiers. Mol Aspects Med 2024; 96:101253. [PMID: 38367531 DOI: 10.1016/j.mam.2024.101253] [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: 11/16/2023] [Revised: 01/26/2024] [Accepted: 02/03/2024] [Indexed: 02/19/2024]
Abstract
Massively parallel sequencing technologies have long been used in both basic research and clinical routine. The recent introduction of digital sequencing has made previously challenging applications possible by significantly improving sensitivity and specificity to now allow detection of rare sequence variants, even at single molecule level. Digital sequencing utilizes unique molecular identifiers (UMIs) to minimize sequencing-induced errors and quantification biases. Here, we discuss the principles of UMIs and how they are used in digital sequencing. We outline the properties of different UMI types and the consequences of various UMI approaches in relation to experimental protocols and bioinformatics. Finally, we describe how digital sequencing can be applied in specific research fields, focusing on cancer management where it can be used in screening of asymptomatic individuals, diagnosis, treatment prediction, prognostication, monitoring treatment efficacy and early detection of treatment resistance as well as relapse.
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Affiliation(s)
- Daniel Andersson
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden
| | - Firaol Tamiru Kebede
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden
| | - Mandy Escobar
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden
| | - Tobias Österlund
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 413 90, Gothenburg, Sweden; Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, 413 45, Gothenburg, Sweden
| | - Anders Ståhlberg
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90, Gothenburg, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 413 90, Gothenburg, Sweden; Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, 413 45, Gothenburg, Sweden.
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6
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Venkataraman V, George S, Cote GM. Molecular Advances in the Treatment of Advanced Gastrointestinal Stromal Tumor. Oncologist 2023:oyad167. [PMID: 37315115 PMCID: PMC10400151 DOI: 10.1093/oncolo/oyad167] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/19/2023] [Indexed: 06/16/2023] Open
Abstract
Most gastrointestinal stromal tumors (GIST) are driven by activating mutations in Proto-oncogene c-KIT (KIT) or PDGFRA receptor tyrosine kinases (RTK). The emergence of effective therapies targeting these mutations has revolutionized the management of advanced GIST. However, following initiation of first-line imatinib, a tyrosine kinase inhibitor (TKI), nearly all patients will develop resistance within 2 years through the emergence of secondary resistance mutations in KIT, typically in the Adenosine Triphosphate (ATP)-binding site or activation loop of the kinase domain. Moreover, some patients have de novo resistance to imatinib, such as those with mutations in PDGFRA exon 18 or those without KIT or PDGFRA mutation. To target resistance, research efforts are primarily focused on developing next-generation inhibitors of KIT and/or PDGFRA, which can inhibit alternate receptor conformations or unique mutations, and compounds that impact complimentary pathogenic processes or epigenetic events. Here, we review the literature on the medical management of high-risk localized and advanced GIST and provide an update on clinical trial approaches to this disease.
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Affiliation(s)
- Vinayak Venkataraman
- Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, MA, USA
- Mass General Hospital Cancer Center, Center for Sarcoma and Connective Tissue Oncology, Boston, MA, USA
| | - Suzanne George
- Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, MA, USA
| | - Gregory M Cote
- Mass General Hospital Cancer Center, Center for Sarcoma and Connective Tissue Oncology, Boston, MA, USA
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7
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Staadig A, Hedman J, Tillmar A. Applying Unique Molecular Indices with an Extensive All-in-One Forensic SNP Panel for Improved Genotype Accuracy and Sensitivity. Genes (Basel) 2023; 14:genes14040818. [PMID: 37107576 PMCID: PMC10137749 DOI: 10.3390/genes14040818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
One of the major challenges in forensic genetics is being able to detect very small amounts of DNA. Massively parallel sequencing (MPS) enables sensitive detection; however, genotype errors may exist and could interfere with the interpretation. Common errors in MPS-based analysis are often induced during PCR or sequencing. Unique molecular indices (UMIs) are short random nucleotide sequences ligated to each template molecule prior to amplification. Applying UMIs can improve the limit of detection by enabling accurate counting of initial template molecules and removal of erroneous data. In this study, we applied the FORCE panel, which includes ~5500 SNPs, with a QIAseq Targeted DNA Custom Panel (Qiagen), including UMIs. Our main objective was to investigate whether UMIs can enhance the sensitivity and accuracy of forensic genotyping and to evaluate the overall assay performance. We analyzed the data both with and without the UMI information, and the results showed that both genotype accuracy and sensitivity were improved when applying UMIs. The results showed very high genotype accuracies (>99%) for both reference DNA and challenging samples, down to 125 pg. To conclude, we show successful assay performance for several forensic applications and improvements in forensic genotyping when applying UMIs.
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Falkenhorst J, Grunewald S, Krzeciesa D, Herold T, Ketzer J, Christoff M, Hamacher R, Kostbade K, Treckmann J, Köster J, Farzaliyev F, Fletcher BS, Dieckmann N, Kaths M, Mühlenberg T, Schildhaus HU, Bauer S. Plasma Sequencing for Patients with GIST-Limitations and Opportunities in an Academic Setting. Cancers (Basel) 2022; 14:5496. [PMID: 36428589 PMCID: PMC9688348 DOI: 10.3390/cancers14225496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/02/2022] [Accepted: 11/04/2022] [Indexed: 11/11/2022] Open
Abstract
Circulating tumor DNA (ctDNA) from circulating free DNA (cfDNA) in GIST is of interest for the detection of heterogeneous resistance mutations and treatment monitoring. However, methodologies for use in a local setting are not standardized and are error-prone and difficult to interpret. We established a workflow to evaluate routine tumor tissue NGS (Illumina-based next generation sequencing) panels and pipelines for ctDNA sequencing in an academic setting. Regular blood collection (Sarstedt) EDTA tubes were sufficient for direct processing whereas specialized tubes (STRECK) were better for transportation. Mutation detection rate was higher in automatically extracted (AE) than manually extracted (ME) samples. Sensitivity and specificity for specific mutation detection was higher using digital droplet (dd)PCR compared to NGS. In a retrospective analysis of NGS and clinical data (133 samples from 38 patients), cfDNA concentration correlated with tumor load and mutation detection. A clinical routine pipeline and a novel research pipeline yielded different results, but known and resistance-mediating mutations were detected by both and correlated with the resistance spectrum of TKIs used. In conclusion, NGS routine panel analysis was not sensitive and specific enough to replace solid biopsies in GIST. However, more precise methods (hybridization capture NGS, ddPCR) may comprise important research tools to investigate resistance. Future clinical trials need to compare methodology and protocols.
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Affiliation(s)
- Johanna Falkenhorst
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Susanne Grunewald
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Dawid Krzeciesa
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Thomas Herold
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
- Institute of Pathology, University Medical Center Essen, 45147 Essen, Germany
| | - Julia Ketzer
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Miriam Christoff
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Rainer Hamacher
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Karina Kostbade
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Jürgen Treckmann
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
- Department of Visceral Surgery, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
| | - Johannes Köster
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
- Algorithms for Reproducible Bioinformatics, Genome Informatics, Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
| | - Farhad Farzaliyev
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
- Department of Visceral Surgery, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
| | - Benjamin Samulon Fletcher
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Nils Dieckmann
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Moritz Kaths
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
- Department of Visceral Surgery, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
| | - Thomas Mühlenberg
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
| | - Hans-Ulrich Schildhaus
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
- Institute of Pathology, University Medical Center Essen, 45147 Essen, Germany
| | - Sebastian Bauer
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Hospital Essen, 45147 Essen, Germany
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Comeau ZJ, Lessard BH, Shuhendler AJ. The Need to Pair Molecular Monitoring Devices with Molecular Imaging to Personalize Health. Mol Imaging Biol 2022; 24:675-691. [PMID: 35257276 PMCID: PMC8901094 DOI: 10.1007/s11307-022-01714-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/16/2022] [Accepted: 02/18/2022] [Indexed: 12/11/2022]
Abstract
By enabling the non-invasive monitoring and quantification of biomolecular processes, molecular imaging has dramatically improved our understanding of disease. In recent years, non-invasive access to the molecular drivers of health versus disease has emboldened the goal of precision health, which draws on concepts borrowed from process monitoring in engineering, wherein hundreds of sensors can be employed to develop a model which can be used to preventatively detect and diagnose problems. In translating this monitoring regime from inanimate machines to human beings, precision health posits that continual and on-the-spot monitoring are the next frontiers in molecular medicine. Early biomarker detection and clinical intervention improves individual outcomes and reduces the societal cost of treating chronic and late-stage diseases. However, in current clinical settings, methods of disease diagnoses and monitoring are typically intermittent, based on imprecise risk factors, or self-administered, making optimization of individual patient outcomes an ongoing challenge. Low-cost molecular monitoring devices capable of on-the-spot biomarker analysis at high frequencies, and even continuously, could alter this paradigm of therapy and disease prevention. When these devices are coupled with molecular imaging, they could work together to enable a complete picture of pathogenesis. To meet this need, an active area of research is the development of sensors capable of point-of-care diagnostic monitoring with an emphasis on clinical utility. However, a myriad of challenges must be met, foremost, an integration of the highly specialized molecular tools developed to understand and monitor the molecular causes of disease with clinically accessible techniques. Functioning on the principle of probe-analyte interactions yielding a transducible signal, probes enabling sensing and imaging significantly overlap in design considerations and targeting moieties, however differing in signal interpretation and readout. Integrating molecular sensors with molecular imaging can provide improved data on the personal biomarkers governing disease progression, furthering our understanding of pathogenesis, and providing a positive feedback loop toward identifying additional biomarkers and therapeutics. Coupling molecular imaging with molecular monitoring devices into the clinical paradigm is a key step toward achieving precision health.
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Affiliation(s)
- Zachary J Comeau
- Department of Chemical and Biological Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, ON, K1N 6N5, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 150 Louis Pasteur, Ottawa, ON, K1N 6N5, Canada
| | - Benoît H Lessard
- Department of Chemical and Biological Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, ON, K1N 6N5, Canada
- School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward Ave., Ottawa, ON, K1N 6N5, Canada
| | - Adam J Shuhendler
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 150 Louis Pasteur, Ottawa, ON, K1N 6N5, Canada.
- Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa, ON, K1N 6N5, Canada.
- University of Ottawa Heart Institute, 40 Ruskin St, Ottawa, ON, K1Y 4W7, Canada.
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10
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Huang S, Guo X, Xia Y, Ding L, Zhai E, Chen S, He Y, Cai S, Zhang X. Genotyping guided ripretinib directly after the progression of first-line imatinib therapy in advanced gastrointestinal stromal tumor: a case report. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:118. [PMID: 35282043 PMCID: PMC8848389 DOI: 10.21037/atm-21-6960] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 01/18/2022] [Indexed: 12/12/2022]
Abstract
Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the gastrointestinal tract. Surgery and tyrosine kinase inhibitor (TKI) therapy are the main choices of treatment. However, the long-term use of TKIs is prone to drug resistance. Herein, we report the case of a 47-year-old female with primary gastric GIST with liver metastases since June 2015. The patient achieved disease control under imatinib therapy and underwent primary lesion resection. She took postoperative imatinib maintenance therapy, but discontinued imatinib for 10 months about 2 years after surgery. The patient suffered from disease progression in May 2019, with recurrence of liver metastases and new abdominal metastases. From then on, imatinib was resumed and partial response (PR) persisted for another 2 years. The patient subsequently experienced tumor progression due to secondary KIT exon 17 mutation confirmed by tissue biopsy and circulating tumor DNA (ctDNA) detection. After multidisciplinary team discussion, the patient received ripretinib as a second-line therapy, and ctDNA monitoring demonstrated that the KIT mutations turned negative. After disease control from ripretinib for 2+ months, she underwent cytoreductive surgery (R0/1) and received ripretinib maintenance treatment postoperatively. We believe that this case provides a reference value for individualized ripretinib precise therapy according to mutational analysis after the progression of first-line GIST treatment, and ctDNA can predict effectiveness to guide treatment.
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Affiliation(s)
- Shaoqing Huang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaodan Guo
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yanzhe Xia
- Department of Pharmacy, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Li Ding
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ertao Zhai
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Sile Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yulong He
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shirong Cai
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xinhua Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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