Abstract
Multiple myeloma (MM) is a common type of blood cancer affecting plasma cells originating from the lymphoid B-cell lineage. It accounts for about 10% of all hematological malignancies and can cause significant end-organ damage. The emergence of genomic technologies such as next-generation sequencing and gene expression analysis has opened new possibilities for early detection of multiple myeloma and identification of personalized treatment options. However, there remain significant challenges to overcome in MM research, including integrating multi-omics data, achieving a comprehensive understanding of the disease, and developing targeted therapies and biomarkers. The extensive data generated by these technologies presents another challenge for data analysis and interpretation. To bridge this gap, we have developed a multi-omics open-access database called MyeloDB. It includes gene expression profiling, high-throughput CRISPR-Cas9 screens, drug sensitivity resources profile, and biomarkers. MyeloDB contains 47 expression profiles, 3 methylation profiles comprising a total of 5630 patient samples and 25 biomarkers which were reported in previous studies. In addition to this, MyeloDB can provide significant insight of gene mutations in MM on drug sensitivity. Furthermore, users can download the datasets and conduct their own analyses. Utilizing this database, we have identified five novel genes, i.e., CBFB, MANF, MBNL1, SEPHS2, and UFM1 as potential drug targets for MM. We hope MyeloDB will serve as a comprehensive platform for researchers and foster novel discoveries in MM. MyeloDB Database URL: https://project.iith.ac.in/cgntlab/myelodb/.
Data Availability
The datasets used in this study are available on MyeloDB database website (https://project.iith.ac.in/cgntlab/myelodb).
Abbreviations
- MM:
-
Multiple myeloma
- MGUS:
-
Monoclonal gammopathy of undetermined significance
- SMM:
-
Smoldering multiple myeloma
- GDC:
-
Genomic Data Commons
- GDSC:
-
Genomics of Drug Sensitivity in Cancer
- ICGC:
-
International Cancer Genome Consortium
- DepMap:
-
Dependency map
- TCGA:
-
The Cancer Genome Atlas
- GEO:
-
Gene Expression Omnibus
- IMWG:
-
International Myeloma Working Group
- COSMIC:
-
Catalogue of Somatic Mutations in Cancer
- CMD:
-
Complete mutation data
- RMA:
-
Robust Multichip Average
- TPM:
-
Transcripts per million
- RPKM:
-
Reads per kilobase per million mapped
- FPKM:
-
Fragments per kilobase of transcript per million
- CGC:
-
Cancer Gene Census
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Acknowledgements
AK, KVK, and KK acknowledge the fellowship from Ministry of Education, Government of India. AS acknowledge the fellowship from Council of Scientific and Industrial Research (CSIR), Government of India. RK is thankful to the Indian Institute of Technology Hyderabad for providing research infrastructure.
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Financial support for research infrastructure was provided by the Indian Institute of Technology Hyderabad.
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AK, KVK, and RK conceived the idea and prepared the database framework. AK and KVK collected and analyzed the datasets. AK developed the database and wrote the first draft of the manuscript. KK, AS, KR, and SS helped in collecting the datasets and preparing the database outline. All authors read the manuscript and approved it for submission.
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Kumar, A., Kumar, K.V., Kundal, K. et al. MyeloDB: a multi-omics resource for multiple myeloma. Funct Integr Genomics 24, 17 (2024). https://doi.org/10.1007/s10142-023-01280-0
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DOI: https://doi.org/10.1007/s10142-023-01280-0