Development and validation of a leukemia prognostic model through single-cell RNA sequencing and machine learning approaches

This study provides a reliable prognostic tool for leukemia and offers insights into the critical role of the immune microenvironment in leukemia pathogenesis. Our findings may guide the development of personalized immunotherapy strategies for leukemia patients.

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Publication Details

Journal
Discover Oncology
Published
2025-10-10
DOI
https://doi.org/10.1007/s12672-025-03757-9
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a leukemia prognostic model through single-cell RNA sequencing and machine learning approaches

Tianye Jian, Dunjin Chen, Jie Yang, Mengting Wang
Discover Oncology
Acute Myeloid Leukemia Research
article

Development and validation of a leukemia prognostic model through single-cell RNA sequencing and machine learning approaches

Tianye Jian, Dunjin Chen, Jie Yang, Mengting Wang
article en

Abstract

This study provides a reliable prognostic tool for leukemia and offers insights into the critical role of the immune microenvironment in leukemia pathogenesis. Our findings may guide the development of personalized immunotherapy strategies for leukemia patients.

Discover OncologyVol. 16(1)
Zunyi Medical University (CN)
Openalex Percentile: Top 64%
Acute Myeloid Leukemia Research
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