Evidence map›Paper›PMID 40072762›Full record

ArticleDiscover oncology2025

LST1 expression correlates with immune infiltration and predicts poor prognosis in acute myeloid leukemia.

Haitao Xu, Dangui Chen, Jia Lu, Lihong Wang, Fei Chen, Long Zhong

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Haitao XuDepartment of Hematology, Anqing Municipal Hospital, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China. danielxu9@163.com.
Dangui ChenDepartment of Hematology, Anqing Municipal Hospital, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China.
Jia LuDepartment of Hematology, Anqing Municipal Hospital, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China.
Lihong WangDepartment of Hematology, Anqing Municipal Hospital, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China.
Fei ChenDepartment of Hematology, Anqing Municipal Hospital, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China.
Long ZhongDepartment of Hematology, Anqing Municipal Hospital, Anqing Hospital Affiliated to Anhui Medical University, Anqing, China.

Funding

Anhui Health and Medical Research Foundation AHWJ2022c002
6 · The paper itself

Abstract

Clinical management of acute myeloid leukemia (AML) poses significant challenges due to its poor prognosis and heterogeneous nature. Discovering new biomarkers is crucial for improving risk assessment and customizing treatment approaches. While leukocyte-specific transcript 1 (LST1) is implicated in inflammation and immune regulation, its function in AML remains ambiguous. In this investigation, we conduct a comprehensive investigation into LST1 expression profiles, clinical implications, functional pathways, and immune interactions in AML, leveraging multi-omics data and experimental validations. Our examination shows increased levels of LST1 expression in AML when compared to regular hematopoietic tissues, a discovery validated by RT-qPCR and Western blot analyses in a separate group. Elevated LST1 levels correlate with distinct clinicopathological features, including increased white blood cell counts, non-M3 FAB subtype, and intermediate/poor cytogenetic risk. Importantly, heightened LST1 levels predict unfavorable overall survival outcomes across various subgroups, independently of age and cytogenetic risk. We develop an integrative nomogram incorporating LST1 expression, demonstrating robust prognostic efficacy for patient survival. Transcriptomic profiling identifies 275 differentially expressed genes between LST1-high and -low AML cases, enriched in cytokine signaling, immune modulation, cell adhesion, and oncogenic pathways. Furthermore, LST1 exhibits significant associations with the infiltration of diverse immune cell subsets within the AML microenvironment, particularly myeloid cells and regulatory T cells (Tregs). In conclusion, our study establishes LST1 as a novel prognostic indicator with immunological relevance in AML, emphasizing its potential therapeutic implications. Further mechanistic elucidation of LST1 in AML pathogenesis is crucial for its clinical translation.

Indexed as

AMLBiomarkerImmune infiltrationLST1Prognosis

Identifiers

PMID40072762
PMCPMC11904058

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.