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Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia

Crossref DOI link: https://doi.org/10.1007/s12672-026-05463-6

Published Online: 2026-06-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lu, Linna

Jiang, Xueliang

Lu, Jun

Lv, Jian
Funding

Funding for this research was provided by:

the Special Fund for high-level Talents in the medical and Health industry of Jinan City
License Information

Text and Data Mining valid from 2026-06-23

Version of Record valid from 2026-09-08
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Article History

Received: 13 January 2026

Accepted: 12 June 2026

First Online: 23 June 2026

Declarations

Ethics approval and consent to participate: Not applicable.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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