| Autor: |
Qiujin Shen, Yahui Feng, Xiaowen Gong, Yujiao Jia, Qingyan Gao, Xiaokang Jiao, Saibing Qi, Xueou Liu, Hui Wei, Bingqing Huang, Ningning Zhao, Xiaoqiang Song, Yueshen Ma, Shihao Liang, Donglei Zhang, Li Qin, Ying Wang, Shiqiang Qu, Yao Zou, Yumei Chen, Ye Guo, Shuhua Yi, Gang An, Zengtao Jiao, Song Zhang, Linfeng Li, Jun Yan, Huijun Wang, Zhen Song, Yingchang Mi, Lugui Qiu, Xiaofan Zhu, Jianxiang Wang, Zhijian Xiao, Junren Chen |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Cancer Research Communications. 2:258-276 |
| ISSN: |
2767-9764 |
| DOI: |
10.1158/2767-9764.crc-21-0194 |
| Popis: |
Although the concept of “myeloid neoplasm continuum” has long been proposed, few comparative genomics studies directly tested this hypothesis. Here we report a multi-modal data analysis of 730 consecutive newly diagnosed patients with primary myeloid neoplasm, along with 462 lymphoid neoplasm cases serving as the outgroup. Our study identified a “Pan-Myeloid Axis” along which patients, genes, and phenotypic features were all aligned in sequential order. Utilizing relational information of gene mutations along the Pan-Myeloid Axis improved prognostic accuracy for complete remission and overall survival in adult patients of de novo acute myeloid leukemia and for complete remission in adult patients of myelodysplastic syndromes with excess blasts. We submit that better understanding of the myeloid neoplasm continuum might shed light on how treatment should be tailored to individual diseases. Significance: The current criteria for disease diagnosis treat myeloid neoplasms as a group of distinct, separate diseases. This work provides genomics evidence for a “myeloid neoplasm continuum” and suggests that boundaries between myeloid neoplastic diseases are much more blurred than previously thought. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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