Data generated for "Serial MRD assessment predicts relapse after transplantation in patients with myelodysplastic syndrome.

SND-ID: 2023-183. Version: 1. DOI: https://doi.org/10.48723/hk61-4f76

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Associated documentation

File_documentation.xlsx (9.58 KB)

Citation

Creator/Principal investigator(s)

Magnus Tobiasson - Karolinska Institutet, Department of Medicine, Huddinge

Karolinska Institute, Institution for medicine Huddinge

Karolinska University Hospital, Department of hematology

Research principal

Karolinska Institutet - Institutionen for medicine, Huddinge

Description

The study has evaluated the association between measurable residual disease (MRD) determined using digital droplet PCR (ddPCR) and outcome after allogeneic stem cell transplantation for patients with myelodysplastic syndrome (MDS). The patient-specific mutations have been identified using next generation sequencing (NGS).

The dataset contains:
1. NGS data
2. MRD data
3. List of ddPCR-assays
4. Variants for ddPCR only identified at diagnosis
5. Variants of undetermined significance targeted by ddPCR
6. Regression analyses

Data contains personal data

Yes

Sensitive personal data

Yes

Type of personal data

Medicinska data

Code key exists

Yes

Language

English

Method and outcome

Unit of analysis

Individual/Patient

Population

Patients with MDS who has undergone allogeneic stem cell transplantation

Study design

Diagnostic study

Description of study design

Bone marrow and peripheral blood samples were collected a different time points after allogeneic stem cell transplantation. Measurable residual disease (MRD) were analyzed using digital droplet PCR for patient specific mutations. The association between MRD and relapse was investigated.

Sampling procedure

Total universe/Complete enumeration

All MDS-patients planned for allogeneic stem cell transplantation were asked for participation

Time period(s) investigated

2016 – 2021

Biobank is connected to the study

The study has collected samples/material which are stored in a scientific collection or biobank

Scientific collection or biobank name: KI biobank

Type(s) of sample: Bone marrow and blood

Number of individuals/objects

266

Data format / data structure

Numeric

Text

Data collection

Geographic coverage

Administrative information

Responsible department/unit

Institutionen for medicine, Huddinge

Other research principals

Stockholm County Council

Contributor(s)

Magnus Tobiasson - Karolinska Institutet, Department of medicine, Huddinge

Ethics Review

Stockholm - Ref. 2015-2254/31

Topic and keywords

Research area

Hematology (Standard för svensk indelning av forskningsämnen 2011)

Keywords

Myelodysplastic-myeloproliferative diseases, Myelodysplastic syndromes

Publications

Tobiasson, M., Pandzic, T., Illman, J., Nilsson, L., Weström, S., Ejerblad, E., Olesen, G., Björklund, A., Olsnes Kittang, A., Werlenius, O., Lorentz, F., Rasmussen, B., Cammenga, J., Weber, D., Lindholm, C., Wiggh, J., Dimitriou, M., Moen, A. E., Yip Lundström, L., … Hellström-Lindberg, E. (2024). Patient-Specific Measurable Residual Disease Markers Predict Outcome in Patients With Myelodysplastic Syndrome and Related Diseases After Hematopoietic Stem-Cell Transplantation. In Journal of Clinical Oncology (Vol. 42, Issue 12, pp. 1378–1390). https://doi.org/10.1200/JCO.23.01159
DOI: https://doi.org/10.1200/JCO.23.01159
URN: urn:nbn:se:oru:diva-111035
SwePub: oai:DiVA.org:oru-111035

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