A Phenogenetic Axis that Modulates Clinical Manifestation and Predicts Treatment Outcome in Primary Myeloid Neoplasms

35 authors, including, Qiujin Shen (Co-first Author), Yahui Feng (Co-first Author), Xiaowen Gong (Co-first Author), Yujiao Jia (Co-first Author), Qingyan Gao (Co-first Author), Xiaokang Jiao (Co-first Author), Saibing Qi (Co-first Author), Xueou Liu (Co-first Author), Hui Wei (Co-first Author), Jun Yan, Jianxiang Wang*, Zhijian Xiao*, Junren Chen*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

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. © 2022 The Authors; Published by the American Association for Cancer Research.
Original languageEnglish
Pages (from-to)258-276
Number of pages19
JournalCancer Research Communications
Volume2
Issue number4
Online published26 Apr 2022
DOIs
Publication statusPublished - Apr 2022
Externally publishedYes

Funding

This work was supported in part by the Tianjin Science and Technology Plan grant 20ZYJDSY00010 (to J. Wang), the Chinese Academy of Medical Sciences Initiative Fund for Medical Sciences grant 2020-I2M-C&T-A-020 (to Z. Xiao), and the State Key Laboratory of Experimental Hematology grant Z20–01 (to J. Chen). Y. Hu assisted in proofreading of the manuscript. The authors would like to express special thanks to T. Cheng for sponsoring the publication of this work through the “National Multidisciplinary Collaborative Diagnosis and Treatment Capacity Building Project for Major Diseases”.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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