Development of Targeted RNA-Seq for Amyotrophic Lateral Sclerosis Diagnosis (ROSA)
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ClinicalTrials.gov Identifier: NCT06083584 |
Recruitment Status :
Recruiting
First Posted : October 16, 2023
Last Update Posted : January 31, 2024
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Genetic diagnosis of Amyotrophic Lateral Sclerosis (ALS) could identify the origin of the disease, potentially allowing the patient to pursue targeted/gene therapy. However, many familial forms of ALS are genetically undiagnosed, either because no variant has been detected in the genes of interest, or because the detected variant(s) have uncertain significance. Currently, molecular diagnosis takes place in two stages: 1) Search for the GGGGCC expansion in the C9ORF72 gene by RP-PCR; 2) Analysis of the coding regions by high-throughput sequencing of a panel of 30 genes involved in ALS.
Many of these variants of uncertain significance affect splicing. Their impact can be predicted using in silico tools, but only an analysis of the patient's RNA can confirm their pathogenic nature. Currently, the analysis of transcripts is only done a posteriori, when a variant predicted to impact splicing is detected on the patient's DNA. RT-PCR followed by Sanger sequencing then verifies the impact of the splice variants. This method confirmed the impact of certain splice variants in patients. However, this method is time-consuming and requires custom development, and is mutation/gene/patient-dependent. In contrast, high-throughput RNA sequencing (RNA-Seq) simultaneously analyzes the splicing of numerous genes, with a global approach, applicable to all patients. This approach avoids the custom design of primers, which can be biased by the interpretation of splicing predictions, while RNA-Seq systematically captures and sequences all the transcripts. Finally, RNA-Seq provides additional information compared to DNA sequencing such as the detection of exon skipping, intron inclusion, and the creation of fusion transcripts.
In the GTEx project (GTEx Consortium, 2013), expression levels of human genome transcripts were quantified by RNA-Seq. Using these results, the study investigators measured expression of transcripts of known ALS genes in whole blood. Applying a threshold value of 0.5 transcripts per million reads (TPM), 25 of the 30 ALS genes currently analyzed by NGS in routine diagnostics at Nîmes University Hospital could be eligible for a complete analysis by RNA-Seq. None of the French laboratories carrying out genetic analyzes of ALS has yet developed RNA-Seq as a routine diagnostic tool. The study laboratory receives more than 600 requests for genetic diagnosis of ALS patients per year. The aim of this study is therefore to develop a global method for analyzing RNA transcripts of ALS genes to categorize the mutations to improve the diagnostic management of patients.
Condition or disease | Intervention/treatment |
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Amyotrophic Lateral Sclerosis | Other: RNA sequencing |
Study Type : | Observational |
Estimated Enrollment : | 192 participants |
Observational Model: | Cohort |
Time Perspective: | Prospective |
Official Title: | Development of Targeted RNA-Seq for Amyotrophic Lateral Sclerosis Diagnosis |
Actual Study Start Date : | November 22, 2023 |
Estimated Primary Completion Date : | May 2025 |
Estimated Study Completion Date : | May 2025 |
Group/Cohort | Intervention/treatment |
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Positive controls
6 patients already in database. The 6 confirmed splicing mutations are: DCTN1 (NM_004082.5): c.3209G>T, OPTN (NM_001008211.1) : c.1613-7T>G, FUS (NM_004960.4) : c.764+8T>A, GRN (NM_002087.4): c.835+1G>A, GRN (NM_002087.4): c.709-3C>G, SPG11 (NM_025137.4): c.3039-5T>G
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Other: RNA sequencing
RNA-Seq (Sureselect XT HS2 RNA) from patient blood sample |
Negative controls
30 patients with familial hypercholesterolemia. The absence of splicing anomalies in the SLA genes after confirmation by RT-PCR followed by Sanger sequencing of the absence of anomalies for the 6 variants listed above for each of the 30 individuals.
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Other: RNA sequencing
RNA-Seq (Sureselect XT HS2 RNA) from patient blood sample |
Exploratory cohort
156 ALS: 20 ALS patients with splice variants predicted to be deleterious by in silico prediction software; 136 panel-analysis-negative ALS patients (priority will be given to familial ALS)
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Other: RNA sequencing
RNA-Seq (Sureselect XT HS2 RNA) from patient blood sample |
- Concordance between the RNA-Seq results (index text) versus RT-PCR followed by Sanger sequencing (reference technique) on positive plus negative controls [ Time Frame: Day 0 ]Sashimi Plot visualized in Integrative Genomics Viewer
- Frequency of splicing anomalies detected in ALS patients in the "exploratory cohort" versus negative controls. [ Time Frame: Day 0 ]Frequency
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Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
- Have a prescription for a genetic diagnosis of ALS (or familial hypercholesterolemia for the control cohort)
- Have given their informed consent for the genetic study and the biobank
- The patient must be a member or beneficiary of a health insurance plan
Exclusion Criteria:
- The patient is under safeguard of justice or state guardianship
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT06083584
Contact: Claire Guissart | 04 66 68 32 07 | claire.guissart@chu-nimes.fr |
France | |
CHU de Bordeaux | Recruiting |
Bordeaux, France | |
Contact: Gwendal Le Masson gwendal.le-masson@chu-bordeaux.fr | |
Principal Investigator: Gwendal Le Masson | |
Sub-Investigator: Stephane Mathis | |
CHU de Clermont-Ferrand | Recruiting |
Clermont-Ferrand, France | |
Contact: Nathalie Guy nguy@chu-clermontferrand.fr | |
Principal Investigator: Nathalie Guy | |
Sub-Investigator: Annaick Desmaison | |
CHU de Lyon | Recruiting |
Lyon, France | |
Contact: Emilien Bernard emilien.bernard@chu-lyon.fr | |
Principal Investigator: Emilien Bernard | |
La Timone | Recruiting |
Marseille, France | |
Contact: Annie Verschueren annie.verschueren@ap-hm.fr | |
Principal Investigator: Annie Verschueren | |
Sub-Investigator: Aude-Marie Grapperon | |
CHU de Montpellier | Recruiting |
Montpellier, France | |
Contact: Elisa De la Cruz e-delacruz@chu-montpellier.fr | |
Principal Investigator: Elisa De la Cruz | |
Sub-Investigator: Florence Esselin | |
Sub-Investigator: Alix Durand | |
CHU de Nîmes | Recruiting |
Nîmes, France | |
Contact: Anissa Megzari 04.66.68.42.36 drc@chu-nimes.fr | |
Principal Investigator: Claire Guissart | |
CHU de Toulouse | Recruiting |
Toulouse, France | |
Contact: Blandine Acket acket.b@chu-toulouse.fr | |
Principal Investigator: Blandine Acket |
Principal Investigator: | Claire Guissart | CHU de Nimes |
Responsible Party: | Centre Hospitalier Universitaire de Nīmes |
ClinicalTrials.gov Identifier: | NCT06083584 |
Other Study ID Numbers: |
NIMAO/LOCAL/2023/CG-01 |
First Posted: | October 16, 2023 Key Record Dates |
Last Update Posted: | January 31, 2024 |
Last Verified: | January 2024 |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Motor Neuron Disease Amyotrophic Lateral Sclerosis Sclerosis Pathologic Processes Neurodegenerative Diseases Nervous System Diseases |
Neuromuscular Diseases Spinal Cord Diseases Central Nervous System Diseases TDP-43 Proteinopathies Proteostasis Deficiencies Metabolic Diseases |