Bibliographic Details
| Title: |
Integrated drug resistance and leukemic stemness gene-expression scores predict outcomes in large cohort of over 3500 AML patients from 10 trials |
| Authors: |
Abdelrahman H. Elsayed, Xueyuan Cao, Richard J. Marrero, Nam H. K. Nguyen, Huiyun Wu, Yonhui Ni, Raul C. Ribeiro, Herold Tobias, Peter J. Valk, François Béliveau, Guillaume Richard-Carpentier, Josée Hébert, C. Michel Zwaan, Alan Gamis, Edward Anders Kolb, Richard Aplenc, Todd A. Alonzo, Soheil Meshinchi, Jeffrey Rubnitz, Stanley Pounds, Jatinder K. Lamba |
| Source: |
npj Precision Oncology, Vol 8, Iss 1, Pp 1-12 (2024) |
| Publisher Information: |
Nature Portfolio, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
Abstract In this study, we leveraged machine-learning tools by evaluating expression of genes of pharmacological relevance to standard-AML chemotherapy (ara-C/daunorubicin/etoposide) in a discovery-cohort of pediatric AML patients (N = 163; NCT00136084 ) and defined a 5-gene-drug resistance score (ADE-RS5) that was predictive of outcome (high MRD1 positivity p = 0.013; lower EFS p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2397-768X |
| Relation: |
https://doaj.org/toc/2397-768X |
| DOI: |
10.1038/s41698-024-00643-5 |
| Access URL: |
https://doaj.org/article/8d2e5546c18f4cf3998b81a1211405a0 |
| Accession Number: |
edsdoj.8d2e5546c18f4cf3998b81a1211405a0 |
| Database: |
Directory of Open Access Journals |
