1
|
Tolmeijer SH, van Wilpe S, Geerlings MJ, von Rhein D, Smilde TJ, Kloots ISH, Westdorp H, Coskuntürk M, Oving IM, van Ipenburg JA, van der Heijden AG, Hofste T, Weiss MM, Schalken JA, Gerritsen WR, Ligtenberg MJL, Mehra N. Early On-treatment Circulating Tumor DNA Measurements and Response to Immune Checkpoint Inhibitors in Advanced Urothelial Cancer. Eur Urol Oncol 2024; 7:282-291. [PMID: 37673768 DOI: 10.1016/j.euo.2023.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/29/2023] [Accepted: 08/15/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) can induce durable disease control in metastatic urothelial cancer (mUC), but only 20-25% of patients respond. Early identification of a nondurable response will improve management strategies. OBJECTIVE To investigate whether on-treatment circulating tumor DNA (ctDNA) measurements can predict ICI responsiveness in mUC patients. DESIGN, SETTING, AND PARTICIPANTS This study consists of a discovery cohort of 40 mUC patients and a prospective multicenter validation cohort of 16 mUC patients. Plasma cell-free DNA was collected at baseline and after 3 and 6 wk on ICIs. The ctDNA levels were calculated from targeted sequencing. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Outcome measurements were progression-free survival (PFS), overall survival (OS), and nondurable response (PFS ≤6 mo). Relationships with ctDNA were assessed using Cox regression. Changes in ctDNA level at 3 and 6 wk were categorized by an increase or decrease relative to baseline. RESULTS AND LIMITATIONS In the discovery cohort, ctDNA was detected in 37/40 (93%) of patients at baseline. A ctDNA increase was observed in 12/15 (80%) and ten of 12 (83%) patients with a nondurable response at 3 and 6 wk, respectively. Of patients with a durable response (PFS >6 mo), 94% showed a decrease. A ctDNA increase at 3 wk was associated with shorter PFS (hazard ratio [HR] 7.8, 95% confidence interval [CI] 3.1-19.5) and OS (HR 8.0, 95% CI 3.0-21.0), independent of clinical prognostic variables. Similar results were observed at 6 wk. The 3-wk association with PFS was validated in a prospective cohort (HR 7.5, 95% CI 1.3-42.6). Limitations include the limited number of patients. CONCLUSIONS Early changes in ctDNA levels are strongly linked to the duration of ICI benefit in mUC and may contribute to timely therapy modifications. PATIENT SUMMARY Benefit from immunotherapy can be predicted after only 3 wk of treatment by investigating cancer DNA in blood. This could help in timely therapy changes for urothelial cancer patients with limited benefit from immunotherapy.
Collapse
Affiliation(s)
- Sofie H Tolmeijer
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sandra van Wilpe
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maartje J Geerlings
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Daniel von Rhein
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tineke J Smilde
- Department of Medical Oncology, Jeroen Bosch Ziekenhuis, 's-Hertogenbosch, The Netherlands
| | - Iris S H Kloots
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Harm Westdorp
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mustafa Coskuntürk
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Irma M Oving
- Department of Medical Oncology, Ziekenhuisgroep Twente, Almelo, The Netherlands
| | - Jolique A van Ipenburg
- Department of Pathology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Antoine G van der Heijden
- Department of Urology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tom Hofste
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marjan M Weiss
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jack A Schalken
- Department of Urology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Winald R Gerritsen
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marjolijn J L Ligtenberg
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Pathology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Niven Mehra
- Department of Medical Oncology, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.
| |
Collapse
|
2
|
Schobers G, Derks R, den Ouden A, Swinkels H, van Reeuwijk J, Bosgoed E, Lugtenberg D, Sun SM, Corominas Galbany J, Weiss M, Blok MJ, Olde Keizer RACM, Hofste T, Hellebrekers D, de Leeuw N, Stegmann A, Kamsteeg EJ, Paulussen ADC, Ligtenberg MJL, Bradley XZ, Peden J, Gutierrez A, Pullen A, Payne T, Gilissen C, van den Wijngaard A, Brunner HG, Nelen M, Yntema HG, Vissers LELM. Genome sequencing as a generic diagnostic strategy for rare disease. Genome Med 2024; 16:32. [PMID: 38355605 PMCID: PMC10868087 DOI: 10.1186/s13073-024-01301-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 02/02/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND To diagnose the full spectrum of hereditary and congenital diseases, genetic laboratories use many different workflows, ranging from karyotyping to exome sequencing. A single generic high-throughput workflow would greatly increase efficiency. We assessed whether genome sequencing (GS) can replace these existing workflows aimed at germline genetic diagnosis for rare disease. METHODS We performed short-read GS (NovaSeq™6000; 150 bp paired-end reads, 37 × mean coverage) on 1000 cases with 1271 known clinically relevant variants, identified across different workflows, representative of our tertiary diagnostic centers. Variants were categorized into small variants (single nucleotide variants and indels < 50 bp), large variants (copy number variants and short tandem repeats) and other variants (structural variants and aneuploidies). Variant calling format files were queried per variant, from which workflow-specific true positive rates (TPRs) for detection were determined. A TPR of ≥ 98% was considered the threshold for transition to GS. A GS-first scenario was generated for our laboratory, using diagnostic efficacy and predicted false negative as primary outcome measures. As input, we modeled the diagnostic path for all 24,570 individuals referred in 2022, combining the clinical referral, the transition of the underlying workflow(s) to GS, and the variant type(s) to be detected. RESULTS Overall, 95% (1206/1271) of variants were detected. Detection rates differed per variant category: small variants in 96% (826/860), large variants in 93% (341/366), and other variants in 87% (39/45). TPRs varied between workflows (79-100%), with 7/10 being replaceable by GS. Models for our laboratory indicate that a GS-first strategy would be feasible for 84.9% of clinical referrals (750/883), translating to 71% of all individuals (17,444/24,570) receiving GS as their primary test. An estimated false negative rate of 0.3% could be expected. CONCLUSIONS GS can capture clinically relevant germline variants in a 'GS-first strategy' for the majority of clinical indications in a genetics diagnostic lab.
Collapse
Affiliation(s)
- Gaby Schobers
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | - Ronny Derks
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Amber den Ouden
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Hilde Swinkels
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Jeroen van Reeuwijk
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | - Ermanno Bosgoed
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | | | - Su Ming Sun
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
| | - Jordi Corominas Galbany
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | - Marjan Weiss
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Marinus J Blok
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
| | - Richelle A C M Olde Keizer
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Debby Hellebrekers
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
| | - Nicole de Leeuw
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Alexander Stegmann
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Aimee D C Paulussen
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
| | - Marjolijn J L Ligtenberg
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | | | | | | | | | | | - Christian Gilissen
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | | | - Han G Brunner
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands
| | - Marcel Nelen
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
| | - Helger G Yntema
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands
| | - Lisenka E L M Vissers
- Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
- Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands.
| |
Collapse
|
3
|
Hofste LSM, Geerlings MJ, von Rhein D, Rütten H, Westenberg AH, Weiss MM, Gilissen C, Hofste T, van der Post RS, Klarenbeek BR, de Wilt JHW, Ligtenberg MJL. Circulating tumor DNA detection after neoadjuvant treatment and surgery predicts recurrence in patients with early-stage and locally advanced rectal cancer. Eur J Surg Oncol 2023; 49:1283-1290. [PMID: 36740555 DOI: 10.1016/j.ejso.2023.01.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/24/2023] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Patients with early-stage and locally advanced rectal cancer are often treated with neoadjuvant therapy followed by surgery or watch and wait. This study evaluated the role of circulating tumor DNA (ctDNA) to measure disease after neoadjuvant treatment and surgery to optimize treatment choices. MATERIALS AND METHODS Patients with rectal cancer treated with both chemotherapy and radiotherapy were included and diagnostic biopsies were analyzed for tumor-specific mutations. Presence of ctDNA was measured in plasma by tracing the tumor-informed mutations using a next-generation sequencing panel. The association between ctDNA detection and clinicopathological characteristics and progression-free survival was measured. RESULTS Before treatment ctDNA was detected in 69% (35/51) of patients. After neoadjuvant therapy ctDNA was detected in only 15% (5/34) of patients. In none of the patients with a complete clinical response who were selected for a watch and wait strategy (0/10) or patients with ypN0 disease (0/8) ctDNA was detected, whereas it was detected in 31% (5/16) of patients with ypN + disease. After surgery ctDNA was detected in 16% (3/19) of patients, of which all (3/3) developed recurrent disease compared to only 13% (2/16) in patients with undetected ctDNA after surgery. In an exploratory survival analysis, both ctDNA detection after neoadjuvant therapy and after surgery was associated with worse progression-free survival (p = 0.01 and p = 0.007, respectively, Cox-regression). CONCLUSION These data show that in patients with early-stage and locally advanced rectal cancer tumor-informed ctDNA detection in plasma using ultradeep sequencing may have clinical value to complement response prediction after neoadjuvant therapy and surgery.
Collapse
Affiliation(s)
- Lisa S M Hofste
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Maartje J Geerlings
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Daniel von Rhein
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Heidi Rütten
- Department of Radiation Oncology, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - A Helen Westenberg
- Institute for Radiation Oncology Arnhem, 6815, AD, Arnhem, the Netherlands
| | - Marjan M Weiss
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Rachel S van der Post
- Department of Pathology, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Bastiaan R Klarenbeek
- Department of Surgery, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Johannes H W de Wilt
- Department of Surgery, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands
| | - Marjolijn J L Ligtenberg
- Department of Human Genetics, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands; Department of Pathology, Radboud University Medical Center, 6525, GA, Nijmegen, the Netherlands.
| |
Collapse
|
4
|
Yaldiz B, Kucuk E, Hampstead J, Hofste T, Pfundt R, Corominas Galbany J, Rinne T, Yntema HG, Hoischen A, Nelen M, Gilissen C. Twist exome capture allows for lower average sequence coverage in clinical exome sequencing. Hum Genomics 2023; 17:39. [PMID: 37138343 PMCID: PMC10155375 DOI: 10.1186/s40246-023-00485-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/20/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Exome and genome sequencing are the predominant techniques in the diagnosis and research of genetic disorders. Sufficient, uniform and reproducible/consistent sequence coverage is a main determinant for the sensitivity to detect single-nucleotide (SNVs) and copy number variants (CNVs). Here we compared the ability to obtain comprehensive exome coverage for recent exome capture kits and genome sequencing techniques. RESULTS We compared three different widely used enrichment kits (Agilent SureSelect Human All Exon V5, Agilent SureSelect Human All Exon V7 and Twist Bioscience) as well as short-read and long-read WGS. We show that the Twist exome capture significantly improves complete coverage and coverage uniformity across coding regions compared to other exome capture kits. Twist performance is comparable to that of both short- and long-read whole genome sequencing. Additionally, we show that even at a reduced average coverage of 70× there is only minimal loss in sensitivity for SNV and CNV detection. CONCLUSION We conclude that exome sequencing with Twist represents a significant improvement and could be performed at lower sequence coverage compared to other exome capture techniques.
Collapse
Affiliation(s)
- Burcu Yaldiz
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Erdi Kucuk
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Juliet Hampstead
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Jordi Corominas Galbany
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Tuula Rinne
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Helger G Yntema
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Marcel Nelen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands.
| |
Collapse
|
5
|
Faas BHW, Westra D, de Munnik SA, van Rij M, Marcelis C, Joosten S, Krapels I, Vernimmen V, Heijligers M, Willemsen MH, de Leeuw N, Rinne T, Pfundt R, Smeekens SP, Stegmann SPA, Macville M, Sikkel E, Coumans A, Wijnberger L, Derks I, van Lent-Albrechts J, Hofste T, Timmermans R, van den End J, Stevens SJC, Feenstra I. All-in-one whole exome sequencing strategy with simultaneous copy number variant, single nucleotide variant and absence-of-heterozygosity analysis in fetuses with structural ultrasound anomalies: A 1-year experience. Prenat Diagn 2023; 43:527-543. [PMID: 36647814 DOI: 10.1002/pd.6314] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 01/18/2023]
Abstract
OBJECTIVE We performed a 1-year evaluation of a novel strategy of simultaneously analyzing single nucleotide variants (SNVs), copy number variants (CNVs) and copy-number-neutral Absence-of-Heterozygosity from Whole Exome Sequencing (WES) data for prenatal diagnosis of fetuses with ultrasound (US) anomalies and a non-causative QF-PCR result. METHODS After invasive diagnostics, whole exome parent-offspring trio-sequencing with exome-wide CNV analysis was performed in pregnancies with fetal US anomalies and a non-causative QF-PCR result (WES-CNV). On request, additional SNV-analysis, restricted to (the) requested gene panel(s) only (with the option of whole exome SNV-analysis afterward) was performed simultaneously (WES-CNV/SNV) or as rapid SNV-re-analysis, following a normal CNV analysis. RESULTS In total, 415 prenatal samples were included. Following a non-causative QF-PCR result, WES-CNV analysis was initially requested for 74.3% of the chorionic villus (CV) samples and 45% of the amniotic fluid (AF) samples. In case WES-CNV analysis did not reveal a causative aberration, SNV-re-analysis was requested in 41.7% of the CV samples and 17.5% of the AF samples. All initial analyses could be finished within 2 weeks after sampling. For SNV-re-analysis during pregnancy, turn-around-times (TATs) varied between one and 8 days. CONCLUSION We show a highly efficient all-in-one WES-based strategy, with short TATs, and the option of rapid SNV-re-analysis after a normal CNV result.
Collapse
Affiliation(s)
- Brigitte H W Faas
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dineke Westra
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sonja A de Munnik
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Maartje van Rij
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carlo Marcelis
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sara Joosten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ingrid Krapels
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Vivian Vernimmen
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Malou Heijligers
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marjolein H Willemsen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicole de Leeuw
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tuula Rinne
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sanne P Smeekens
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sander P A Stegmann
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Merryn Macville
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Esther Sikkel
- Department of Obstetrics and Gynaecology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Audrey Coumans
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Lia Wijnberger
- Department of Obstetrics and Gynaecology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Irma Derks
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Tom Hofste
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Raoul Timmermans
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Janneke van den End
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Servi J C Stevens
- Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Ilse Feenstra
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
6
|
Hofste LSM, Geerlings MJ, von Rhein D, Tolmeijer SH, Weiss MM, Gilissen C, Hofste T, Garms LM, Janssen MJR, Rütten H, Rosman C, van der Post RS, Klarenbeek BR, Ligtenberg MJL. Circulating Tumor DNA-Based Disease Monitoring of Patients with Locally Advanced Esophageal Cancer. Cancers (Basel) 2022; 14:cancers14184417. [PMID: 36139577 PMCID: PMC9497103 DOI: 10.3390/cancers14184417] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/05/2022] [Accepted: 09/07/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary The standard of care for patients diagnosed with locally advanced esophageal cancer is neoadjuvant chemoradiotherapy followed by surgery. There is a high clinical need to monitor response to neoadjuvant treatment and recognize patients at risk for recurrence to enable individual treatment strategies. Ultradeep sequencing-based detection of circulating tumor DNA in preoperative plasma of patients with locally advanced esophageal cancer can predict which patients have a high risk of recurrence after neoadjuvant chemoradiotherapy and surgery. Circulating tumor DNA-based prediction of the presence of distant metastasis might eventually be used to reconsider surgery and its associated morbidity in patients with detected circulating tumor DNA or stratify patients for adjuvant treatment. Abstract Patients diagnosed with locally advanced esophageal cancer are often treated with neoadjuvant chemoradiotherapy followed by surgery. This study explored whether detection of circulating tumor DNA (ctDNA) in plasma can be used to predict residual disease during treatment. Diagnostic tissue biopsies from patients with esophageal cancer receiving neoadjuvant chemoradiotherapy and surgery were analyzed for tumor-specific mutations. These tumor-informed mutations were used to measure the presence of ctDNA in serially collected plasma samples using hybrid capture-based sequencing. Plasma samples were obtained before chemoradiotherapy, and prior to surgery. The association between ctDNA detection and progression-free and overall survival was measured. Before chemoradiotherapy, ctDNA was detected in 56% (44/78) of patients and detection was associated with tumor stage and volume (p = 0.05, Fisher exact and p = 0.02, Mann-Whitney, respectively). After chemoradiotherapy, ctDNA was detected in 10% (8/78) of patients. This preoperative detection of ctDNA was independently associated with recurrent disease (hazard ratio 2.8, 95% confidence interval 1.1–6.8, p = 0.03, multivariable Cox-regression) and worse overall survival (hazard ratio 2.9, 95% confidence interval 1.2–7.1, p = 0.02, multivariable Cox-regression).Ultradeep sequencing-based detection of ctDNA in preoperative plasma of patients with locally advanced esophageal cancer may help to assess which patients have a high risk of recurrence after neoadjuvant chemoradiotherapy and surgery.
Collapse
Affiliation(s)
- Lisa S. M. Hofste
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Maartje J. Geerlings
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Daniel von Rhein
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Sofie H. Tolmeijer
- Department of Medical Oncology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Marjan M. Weiss
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Linda M. Garms
- Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Marcel J. R. Janssen
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Heidi Rütten
- Department of Radiation Oncology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Camiel Rosman
- Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Rachel S. van der Post
- Department of Pathology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Bastiaan R. Klarenbeek
- Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Marjolijn J. L. Ligtenberg
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Department of Pathology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Correspondence: ; Tel.: +31-0024-3617-749
| |
Collapse
|
7
|
Schobers G, Schieving JH, Yntema HG, Pennings M, Pfundt R, Derks R, Hofste T, de Wijs I, Wieskamp N, van den Heuvel S, Galbany JC, Gilissen C, Nelen M, Brunner HG, Kleefstra T, Kamsteeg EJ, Willemsen MAAP, Vissers LELM. Reanalysis of exome negative patients with rare disease: a pragmatic workflow for diagnostic applications. Genome Med 2022; 14:66. [PMID: 35710456 PMCID: PMC9204949 DOI: 10.1186/s13073-022-01069-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Approximately two third of patients with a rare genetic disease remain undiagnosed after exome sequencing (ES). As part of our post-test counseling procedures, patients without a conclusive diagnosis are advised to recontact their referring clinician to discuss new diagnostic opportunities in due time. We performed a systematic study of genetically undiagnosed patients 5 years after their initial negative ES report to determine the efficiency of diverse reanalysis strategies. Methods We revisited a cohort of 150 pediatric neurology patients originally enrolled at Radboud University Medical Center, of whom 103 initially remained genetically undiagnosed. We monitored uptake of physician-initiated routine clinical and/or genetic re-evaluation (ad hoc re-evaluation) and performed systematic reanalysis, including ES-based resequencing, of all genetically undiagnosed patients (systematic re-evaluation). Results Ad hoc re-evaluation was initiated for 45 of 103 patients and yielded 18 diagnoses (including 1 non-genetic). Subsequent systematic re-evaluation identified another 14 diagnoses, increasing the diagnostic yield in our cohort from 31% (47/150) to 53% (79/150). New genetic diagnoses were established by reclassification of previously identified variants (10%, 3/31), reanalysis with enhanced bioinformatic pipelines (19%, 6/31), improved coverage after resequencing (29%, 9/31), and new disease-gene associations (42%, 13/31). Crucially, our systematic study also showed that 11 of the 14 further conclusive genetic diagnoses were made in patients without a genetic diagnosis that did not recontact their referring clinician. Conclusions We find that upon re-evaluation of undiagnosed patients, both reanalysis of existing ES data as well as resequencing strategies are needed to identify additional genetic diagnoses. Importantly, not all patients are routinely re-evaluated in clinical care, prolonging their diagnostic trajectory, unless systematic reanalysis is facilitated. We have translated our observations into considerations for systematic and ad hoc reanalysis in routine genetic care. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01069-z.
Collapse
Affiliation(s)
- Gaby Schobers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Jolanda H Schieving
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.,Department of Pediatric Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Helger G Yntema
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maartje Pennings
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ronny Derks
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ilse de Wijs
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nienke Wieskamp
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Simone van den Heuvel
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jordi Corominas Galbany
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands
| | - Marcel Nelen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.,Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Tjitske Kleefstra
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michèl A A P Willemsen
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.,Department of Pediatric Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lisenka E L M Vissers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
| |
Collapse
|
8
|
van der Made CI, Simons A, Schuurs-Hoeijmakers J, van den Heuvel G, Mantere T, Kersten S, van Deuren RC, Steehouwer M, van Reijmersdal SV, Jaeger M, Hofste T, Astuti G, Corominas Galbany J, van der Schoot V, van der Hoeven H, Hagmolen of ten Have W, Klijn E, van den Meer C, Fiddelaers J, de Mast Q, Bleeker-Rovers CP, Joosten LAB, Yntema HG, Gilissen C, Nelen M, van der Meer JWM, Brunner HG, Netea MG, van de Veerdonk FL, Hoischen A. Presence of Genetic Variants Among Young Men With Severe COVID-19. JAMA 2020; 324:663-673. [PMID: 32706371 PMCID: PMC7382021 DOI: 10.1001/jama.2020.13719] [Citation(s) in RCA: 490] [Impact Index Per Article: 122.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
IMPORTANCE Severe coronavirus disease 2019 (COVID-19) can occur in younger, predominantly male, patients without preexisting medical conditions. Some individuals may have primary immunodeficiencies that predispose to severe infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). OBJECTIVE To explore the presence of genetic variants associated with primary immunodeficiencies among young patients with COVID-19. DESIGN, SETTING, AND PARTICIPANTS Case series of pairs of brothers without medical history meeting the selection criteria of young (age <35 years) brother pairs admitted to the intensive care unit (ICU) due to severe COVID-19. Four men from 2 unrelated families were admitted to the ICUs of 4 hospitals in the Netherlands between March 23 and April 12, 2020. The final date of follow-up was May 16, 2020. Available family members were included for genetic variant segregation analysis and as controls for functional experiments. EXPOSURE Severe COVID-19. MAIN OUTCOME AND MEASURES Results of rapid clinical whole-exome sequencing, performed to identify a potential monogenic cause. Subsequently, basic genetic and immunological tests were performed in primary immune cells isolated from the patients and family members to characterize any immune defects. RESULTS The 4 male patients had a mean age of 26 years (range, 21-32), with no history of major chronic disease. They were previously well before developing respiratory insufficiency due to severe COVID-19, requiring mechanical ventilation in the ICU. The mean duration of ventilatory support was 10 days (range, 9-11); the mean duration of ICU stay was 13 days (range, 10-16). One patient died. Rapid clinical whole-exome sequencing of the patients and segregation in available family members identified loss-of-function variants of the X-chromosomal TLR7. In members of family 1, a maternally inherited 4-nucleotide deletion was identified (c.2129_2132del; p.[Gln710Argfs*18]); the affected members of family 2 carried a missense variant (c.2383G>T; p.[Val795Phe]). In primary peripheral blood mononuclear cells from the patients, downstream type I interferon (IFN) signaling was transcriptionally downregulated, as measured by significantly decreased mRNA expression of IRF7, IFNB1, and ISG15 on stimulation with the TLR7 agonist imiquimod as compared with family members and controls. The production of IFN-γ, a type II IFN, was decreased in patients in response to stimulation with imiquimod. CONCLUSIONS AND RELEVANCE In this case series of 4 young male patients with severe COVID-19, rare putative loss-of-function variants of X-chromosomal TLR7 were identified that were associated with impaired type I and II IFN responses. These preliminary findings provide insights into the pathogenesis of COVID-19.
Collapse
Affiliation(s)
- Caspar I. van der Made
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Annet Simons
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Guus van den Heuvel
- Pulmonology Department, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tuomo Mantere
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Simone Kersten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rosanne C. van Deuren
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marloes Steehouwer
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Martin Jaeger
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Galuh Astuti
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Vyne van der Schoot
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Hans van der Hoeven
- Department of Intensive Care, Radboud University Medical Center Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Eva Klijn
- Department of Intensive Care, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - Jeroen Fiddelaers
- Department of Pulmonology, Admiraal de Ruyter Ziekenhuis, Goes, the Netherlands
| | - Quirijn de Mast
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Chantal P. Bleeker-Rovers
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Leo A. B. Joosten
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Helger G. Yntema
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marcel Nelen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jos W. M. van der Meer
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Han G. Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- GROW School of Oncology and developmental biology, and MHeNs School of Mental Health and Neuroscience, Maastricht University, the Netherlands
| | - Mihai G. Netea
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
- Immunology and Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany
| | - Frank L. van de Veerdonk
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud University Medical Center Center for Infectious Diseases (RCI), Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands
| |
Collapse
|
9
|
Neveling K, Mensenkamp AR, Derks R, Kwint M, Ouchene H, Steehouwer M, van Lier B, Bosgoed E, Rikken A, Tychon M, Zafeiropoulou D, Castelein S, Hehir-Kwa J, Tjwan Thung D, Hofste T, Lelieveld SH, Bertens SMM, Adan IBJF, Eijkelenboom A, Tops BB, Yntema H, Stokowy T, Knappskog PM, Høberg-Vetti H, Steen VM, Boyle E, Martin B, Ligtenberg MJL, Shendure J, Nelen MR, Hoischen A. BRCA Testing by Single-Molecule Molecular Inversion Probes. Clin Chem 2016; 63:503-512. [PMID: 27974384 DOI: 10.1373/clinchem.2016.263897] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 09/29/2016] [Indexed: 12/16/2022]
Abstract
BACKGROUND Despite advances in next generation DNA sequencing (NGS), NGS-based single gene tests for diagnostic purposes require improvements in terms of completeness, quality, speed, and cost. Single-molecule molecular inversion probes (smMIPs) are a technology with unrealized potential in the area of clinical genetic testing. In this proof-of-concept study, we selected 2 frequently requested gene tests, those for the breast cancer genes BRCA1 and BRCA2, and developed an automated work flow based on smMIPs. METHODS The BRCA1 and BRCA2 smMIPs were validated using 166 human genomic DNA samples with known variant status. A generic automated work flow was built to perform smMIP-based enrichment and sequencing for BRCA1, BRCA2, and the checkpoint kinase 2 (CHEK2) c.1100del variant. RESULTS Pathogenic and benign variants were analyzed in a subset of 152 previously BRCA-genotyped samples, yielding an analytical sensitivity and specificity of 100%. Following automation, blind analysis of 65 in-house samples and 267 Norwegian samples correctly identified all true-positive variants (>3000), with no false positives. Consequent to process optimization, turnaround times were reduced by 60% to currently 10-15 days. Copy number variants were detected with an analytical sensitivity of 100% and an analytical specificity of 88%. CONCLUSIONS smMIP-based genetic testing enables automated and reliable analysis of the coding sequences of BRCA1 and BRCA2. The use of single-molecule tags, double-tiled targeted enrichment, and capturing and sequencing in duplo, in combination with automated library preparation and data analysis, results in a robust process and reduces routine turnaround times. Furthermore, smMIP-based copy number variation analysis could make independent copy number variation tools like multiplex ligation-dependent probes amplification dispensable.
Collapse
Affiliation(s)
- Kornelia Neveling
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Arjen R Mensenkamp
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Ronny Derks
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Michael Kwint
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Hicham Ouchene
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Marloes Steehouwer
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Bart van Lier
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Ermanno Bosgoed
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Alwin Rikken
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Marloes Tychon
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Dimitra Zafeiropoulou
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Steven Castelein
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Jayne Hehir-Kwa
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Djie Tjwan Thung
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Stefan H Lelieveld
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Stijn M M Bertens
- Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Ivo B J F Adan
- Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Astrid Eijkelenboom
- Department of Pathology, Radboud university medical center, Nijmegen, the Netherlands
| | - Bastiaan B Tops
- Department of Pathology, Radboud university medical center, Nijmegen, the Netherlands
| | - Helger Yntema
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands
| | - Tomasz Stokowy
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.,Western Norway Familial Cancer Center, Haukeland University Hospital, Bergen, Norway
| | - Per M Knappskog
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Hildegunn Høberg-Vetti
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.,Western Norway Familial Cancer Center, Haukeland University Hospital, Bergen, Norway
| | - Vidar M Steen
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Evan Boyle
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Beth Martin
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Marjolijn J L Ligtenberg
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands.,Department of Pathology, Radboud university medical center, Nijmegen, the Netherlands
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Marcel R Nelen
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands;
| | - Alexander Hoischen
- Department of Human Genetics, Radboud university medical center, Nijmegen, the Netherlands.,Donders Centre for Neuroscience, Radboud University Nijmegen, Nijmegen, the Netherlands
| |
Collapse
|
10
|
Leen WG, Klepper J, Verbeek MM, Leferink M, Hofste T, van Engelen BG, Wevers RA, Arthur T, Bahi-Buisson N, Ballhausen D, Bekhof J, van Bogaert P, Carrilho I, Chabrol B, Champion MP, Coldwell J, Clayton P, Donner E, Evangeliou A, Ebinger F, Farrell K, Forsyth RJ, de Goede CGEL, Gross S, Grunewald S, Holthausen H, Jayawant S, Lachlan K, Laugel V, Leppig K, Lim MJ, Mancini G, Marina AD, Martorell L, McMenamin J, Meuwissen MEC, Mundy H, Nilsson NO, Panzer A, Poll-The BT, Rauscher C, Rouselle CMR, Sandvig I, Scheffner T, Sheridan E, Simpson N, Sykora P, Tomlinson R, Trounce J, Webb D, Weschke B, Scheffer H, Willemsen MA. Glucose transporter-1 deficiency syndrome: the expanding clinical and genetic spectrum of a treatable disorder. Brain 2010; 133:655-70. [PMID: 20129935 DOI: 10.1093/brain/awp336] [Citation(s) in RCA: 237] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Glucose transporter-1 deficiency syndrome is caused by mutations in the SLC2A1 gene in the majority of patients and results in impaired glucose transport into the brain. From 2004-2008, 132 requests for mutational analysis of the SLC2A1 gene were studied by automated Sanger sequencing and multiplex ligation-dependent probe amplification. Mutations in the SLC2A1 gene were detected in 54 patients (41%) and subsequently in three clinically affected family members. In these 57 patients we identified 49 different mutations, including six multiple exon deletions, six known mutations and 37 novel mutations (13 missense, five nonsense, 13 frame shift, four splice site and two translation initiation mutations). Clinical data were retrospectively collected from referring physicians by means of a questionnaire. Three different phenotypes were recognized: (i) the classical phenotype (84%), subdivided into early-onset (<2 years) (65%) and late-onset (18%); (ii) a non-classical phenotype, with mental retardation and movement disorder, without epilepsy (15%); and (iii) one adult case of glucose transporter-1 deficiency syndrome with minimal symptoms. Recognizing glucose transporter-1 deficiency syndrome is important, since a ketogenic diet was effective in most of the patients with epilepsy (86%) and also reduced movement disorders in 48% of the patients with a classical phenotype and 71% of the patients with a non-classical phenotype. The average delay in diagnosing classical glucose transporter-1 deficiency syndrome was 6.6 years (range 1 month-16 years). Cerebrospinal fluid glucose was below 2.5 mmol/l (range 0.9-2.4 mmol/l) in all patients and cerebrospinal fluid : blood glucose ratio was below 0.50 in all but one patient (range 0.19-0.52). Cerebrospinal fluid lactate was low to normal in all patients. Our relatively large series of 57 patients with glucose transporter-1 deficiency syndrome allowed us to identify correlations between genotype, phenotype and biochemical data. Type of mutation was related to the severity of mental retardation and the presence of complex movement disorders. Cerebrospinal fluid : blood glucose ratio was related to type of mutation and phenotype. In conclusion, a substantial number of the patients with glucose transporter-1 deficiency syndrome do not have epilepsy. Our study demonstrates that a lumbar puncture provides the diagnostic clue to glucose transporter-1 deficiency syndrome and can thereby dramatically reduce diagnostic delay to allow early start of the ketogenic diet.
Collapse
Affiliation(s)
- Wilhelmina G Leen
- Department of Neurology, Radboud University Nijmegen Medical Centre, 935 Neurology, PO BOX 9101, 6500 HB Nijmegen, The Netherlands.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Jonckheere AI, Hogeveen M, Nijtmans L, van den Brand M, Janssen A, Diepstra H, van den Brandt F, van den Heuvel B, Hol F, Hofste T, Kapusta L, Dillmann U, Shamdeen M, Smeitink J, Smeitink J, Rodenburg R. A novel mitochondrial ATP8 gene mutation in a patient with apical hypertrophic cardiomyopathy and neuropathy. BMJ Case Rep 2009; 2009:bcr07.2008.0504. [PMID: 21686774 PMCID: PMC3027703 DOI: 10.1136/bcr.07.2008.0504] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
To identify the biochemical and molecular genetic defect in a 16-year-old patient presenting with apical hypertrophic cardiomyopathy and neuropathy suspected for a mitochondrial disorder.Measurement of the mitochondrial energy-generating system (MEGS) capacity in muscle and enzyme analysis in muscle and fibroblasts were performed. Relevant parts of the mitochondrial DNA were analysed by sequencing.A homoplasmic nonsense mutation m.8529G→A (p.Trp55X) was found in the mitochondrial ATP8 gene in the patient's fibroblasts and muscle tissue. Reduced complex V activity was measured in the patient's fibroblasts and muscle tissue, and was confirmed in cybrid clones containing patient-derived mitochondrial DNAWe describe the first pathogenic mutation in the mitochondrial ATP8 gene, resulting in an improper assembly and reduced activity of the complex V holoenzyme.
Collapse
Affiliation(s)
- An I Jonckheere
- Geert Grooteplein 10 PO Box 9101, 6500 HB Nijmegen, Netherlands
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|