Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
| Autor: | Kueffner R., Zach N., Bronfeld M., Norel R., Atassi N., Balagurusamy V., Di Camillo B., Chio A., Cudkowicz M., Dillenberger D., Garcia-Garcia J., Hardiman O., Hoff B., Knight J., Leitner M. L., Li G., Mangravite L., Norman T., Wang L., Xiao J., Fang W. -C., Peng J., Yang C., Chang H. -J., Stolovitzky G., Alkallas R., Anghel C., Avril J., Bacardit J., Balser B., Balser J., Bar-Sinai Y., Ben-David N., Ben-Zion E., Bliss R., Cai J., Chernyshev A., Chiang J. -H., Chicco D., Corriveau B. A. N., Dai J., Deshpande Y., Desplats E., Durgin J. S., Espiritu S. M. G., Fan F., Fevrier P., Fridley B. L., Godzik A., Golinska A., Gordon J., Graw S., Guo Y., Herpelinck T., Hopkins J., Huang B., Jacobsen J., Jahandideh S., Jeon J., Ji W., Jung K., Karanevich A., Koestler D. C., Kozak M., Kurz C., Lalansingh C., Larrieu T., Lazzarini N., Lerner B., Lesinski W., Liang X., Lin X., Lowe J., Mackey L., Meier R., Min W., Mnich K., Nahmias V., Noel-Macdonnell J., O'donnell A., Paadre S., Park J., Polewko-Klim A., Raghavan R., Rudnicki W., Saghapour E., Salomond J. -B., Sankaran K., Sendorek D., Sharan V., Shiah Y. -J., Sirois J. -K., Sumanaweera D. N., Usset J., Vang Y. S., Vens C., Wadden D., Wang D., Wong W. C., Xie X., Xu Z., Yang H. -T., Yu X., Zhang H., Zhang L., Zhang S., Zhu S. |
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| Přispěvatelé: | Kueffner, R, Zach, N, Bronfeld, M, Norel, R, Atassi, N, Balagurusamy, V, Di Camillo, B, Chio, A, Cudkowicz, M, Dillenberger, D, Garcia-Garcia, J, Hardiman, O, Hoff, B, Knight, J, Leitner, M, Li, G, Mangravite, L, Norman, T, Wang, L, Xiao, J, Fang, W, Peng, J, Yang, C, Chang, H, Stolovitzky, G, Alkallas, R, Anghel, C, Avril, J, Bacardit, J, Balser, B, Balser, J, Bar-Sinai, Y, Ben-David, N, Ben-Zion, E, Bliss, R, Cai, J, Chernyshev, A, Chiang, J, Chicco, D, Corriveau, B, Dai, J, Deshpande, Y, Desplats, E, Durgin, J, Espiritu, S, Fan, F, Fevrier, P, Fridley, B, Godzik, A, Golinska, A, Gordon, J, Graw, S, Guo, Y, Herpelinck, T, Hopkins, J, Huang, B, Jacobsen, J, Jahandideh, S, Jeon, J, Ji, W, Jung, K, Karanevich, A, Koestler, D, Kozak, M, Kurz, C, Lalansingh, C, Larrieu, T, Lazzarini, N, Lerner, B, Lesinski, W, Liang, X, Lin, X, Lowe, J, Mackey, L, Meier, R, Min, W, Mnich, K, Nahmias, V, Noel-Macdonnell, J, O'Donnell, A, Paadre, S, Park, J, Polewko-Klim, A, Raghavan, R, Rudnicki, W, Saghapour, E, Salomond, J, Sankaran, K, Sendorek, D, Sharan, V, Shiah, Y, Sirois, J, Sumanaweera, D, Usset, J, Vang, Y, Vens, C, Wadden, D, Wang, D, Wong, W, Xie, X, Xu, Z, Yang, H, Yu, X, Zhang, H, Zhang, L, Zhang, S, Zhu, S |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Drug trial Databases Factual Organizations Nonprofit lcsh:Medicine Disease Neurodegenerative Stratification (mathematics) Machine Learning DOUBLE-BLIND 0302 clinical medicine Multidisciplinary approach Cluster Analysis Amyotrophic lateral sclerosis lcsh:Science PREDICTORS Clinical Trials as Topic Multidisciplinary Algorithm Multidisciplinary Sciences Italy SURVIVAL Science & Technology - Other Topics GENETIC-HETEROGENEITY Crowdsourcing TRIAL CREATININE Nonprofit Algorithms Human medicine.medical_specialty ALS Stratification Consortium Clinical Trials and Supportive Activities Predictive medicine MEDLINE Article 03 medical and health sciences Databases Rare Diseases Clinical Research medicine Humans Intensive care medicine Factual Organizations Cluster Analysi Science & Technology business.industry DEXPRAMIPEXOLE lcsh:R DISEASE PROGRESSION Amyotrophic Lateral Sclerosis Neurosciences OUTCOME MEASURES medicine.disease Brain Disorders Clinical trial BODY-MASS INDEX 030104 developmental biology Orphan Drug Good Health and Well Being ING-IND/34 - BIOINGEGNERIA INDUSTRIALE lcsh:Q ALS business Ireland 030217 neurology & neurosurgery Amyotrophic Lateral Sclerosi |
| Zdroj: | Scientific Reports Scientific reports, vol 9, iss 1 Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019) |
| ISSN: | 2045-2322 |
| Popis: | Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease where substantial heterogeneity in clinical presentation urgently requires a better stratification of patients for the development of drug trials and clinical care. In this study we explored stratification through a crowdsourcing approach, the DREAM Prize4Life ALS Stratification Challenge. Using data from >10,000 patients from ALS clinical trials and 1479 patients from community-based patient registers, more than 30 teams developed new approaches for machine learning and clustering, outperforming the best current predictions of disease outcome. We propose a new method to integrate and analyze patient clusters across methods, showing a clear pattern of consistent and clinically relevant sub-groups of patients that also enabled the reliable classification of new patients. Our analyses reveal novel insights in ALS and describe for the first time the potential of a crowdsourcing to uncover hidden patient sub-populations, and to accelerate disease understanding and therapeutic development. ispartof: SCIENTIFIC REPORTS vol:9 issue:1 ispartof: location:England status: published |
| Databáze: | OpenAIRE |
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