Academic Journal
Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease
| Title: | Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease |
|---|---|
| Authors: | Hongjie Chen, Yuanfang Guan, Nikhil C. Munshi, Samuel A. Danziger, Andrew Dervan, Bailiang Li, Aditya Pratapa, Christine Eng, Matthew Trotter, Hervé Avet-Loiseau, Justin Guinney, Erin Flynt, Dan Rozelle, Maria Ortiz, Douglas Bassett, Michael Mason, Alexander V. Ratushny, Carolina Schinke, Thomas Yu, Kenneth H. Shain, Fred K. Gruber, Elias Chaibub Neto, Boris Hayete, Hongyue Y Dai, Jonathan Göke, Fadi Towfic, Dirk Hose, Pieter Sonneveld, Anjan Thakurta, Daniel Auclair, Valeriy V. Lyzogubov, Gareth J. Morgan, Mehmet Kemal Samur, Brian A Walker, Konstantinos Mavrommatis, Hartmut Goldschmidt, Brian S. White, William S. Dalton, Kamlesh Bisht, Yi Cui, Frank Schmitz |
| Contributors: | Computer Science, Basic (bio-) Medical Sciences |
| Source: | Leukemia Leukemia 34, 1866–1874 (2020) |
| Publication Status: | Preprint |
| Publisher Information: | Springer Science and Business Media LLC, 2019. |
| Publication Year: | 2019 |
| Subject Terms: | 0301 basic medicine, Clinical Trials as Topic/statistics & numerical data, Databases, Factual, Transcription Factors/genetics, Datasets as Topic, Multiple Myeloma/genetics, Article, Epigenesis, Genetic, 03 medical and health sciences, Biomarkers, Tumor, Tumor Cells, Cultured, Humans, Cell Proliferation, Clinical Trials as Topic, 0303 health sciences, Models, Statistical, Cell Cycle, 3. Good health, DNA-Binding Proteins, Gene Expression Regulation, Neoplastic, cell proliferation, cell cycle, Biomarkers, Tumor/genetics, Multiple Myeloma, DNA-Binding Proteins/genetics, Transcription Factors |
| Description: | While the past decade has seen meaningful improvements in clinical outcomes for multiple myeloma patients, a subset of patients does not benefit from current therapeutics for unclear reasons. Many gene expression-based models of risk have been developed, but each model uses a different combination of genes and often involves assaying many genes making them difficult to implement. We organized the Multiple Myeloma DREAM Challenge, a crowdsourced effort to develop models of rapid progression in newly diagnosed myeloma patients and to benchmark these against previously published models. This effort lead to more robust predictors and found that incorporating specific demographic and clinical features improved gene expression-based models of high risk. Furthermore, post-challenge analysis identified a novel expression-based risk marker, PHF19, which has recently been found to have an important biological role in multiple myeloma. Lastly, we show that a simple four feature predictor composed of age, ISS, and expression of PHF19 and MMSET performs similarly to more complex models with many more gene expression features included. |
| Document Type: | Article Other literature type |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1476-5551 0887-6924 |
| DOI: | 10.1038/s41375-020-0742-z |
| DOI: | 10.1101/737122 |
| Access URL: | https://www.nature.com/articles/s41375-020-0742-z.pdf https://pubmed.ncbi.nlm.nih.gov/32060406 https://www.nature.com/articles/s41375-020-0742-z https://research.monash.edu/en/publications/multiple-myeloma-dream-challenge-reveals-epigenetic-regulator-phf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326699 https://pubmed.ncbi.nlm.nih.gov/32060406/ https://www.nature.com/articles/s41375-020-0742-z.pdf https://www.biorxiv.org/content/10.1101/737122v1 https://www.biorxiv.org/content/biorxiv/early/2019/08/22/737122.full.pdf http://hdl.handle.net/10919/101772 https://doi.org/10.1038/s41375-020-0742-z https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=59519 https://biblio.vub.ac.be/vubir/multiple-myeloma-dream-challenge-reveals-epigenetic-regulator-phf19-as-marker-of-aggressive-disease(442b1410-5b74-496c-8eff-4da366b7d420).html |
| Rights: | CC BY |
| Accession Number: | edsair.doi.dedup.....c95c98ba8ff90bd994e2b93c3b359762 |
| Database: | OpenAIRE |
| ISSN: | 14765551 08876924 |
|---|---|
| DOI: | 10.1038/s41375-020-0742-z |