Evidence map›Paper›PMID 42136634›Full record

ArticleFrontiers in immunology2026

Dysregulation of the immune microenvironment in essential thrombocythemia: the interplay of core genes and inflammation-related signaling pathways.

Yeqiong Li, Xiangguo Chen, Ying Guo, Rongrong Sha, Huicheng Hao, Jin Zhang, Honghong Song, Yuping Wei, Xiupeng Ye

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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

9 authors.

Yeqiong Li *Department of Hematology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia Hui Autonomous Region, China.
Xiangguo Chen *Department of Internal Medicine, Traditional Chinese Medicine Hospital of Xiji County, Guyuan, Ningxia Hui Autonomous Region, China.
Ying Guo *Department of Radiotherapy, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Hui Autonomous Region, China.
Rongrong ShaDepartment of Radiology, Institute of Traditional Chinese Medicine of Ningxia Hui Autonomous Region, Yinchuan, Ningxia Hui Autonomous Region, China.
Huicheng HaoDepartment of Hematology, The Third Clinical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Jin ZhangDepartment of Hematology, The Third Clinical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Honghong SongDepartment of Hematology, The Third Clinical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Yuping WeiDepartment of Hematology, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia Hui Autonomous Region, China.
Xiupeng YeDepartment of Radiotherapy, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Hui Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Essential thrombocythemia (ET) is a myeloproliferative disorder characterized as excessive platelet production. Early and accurate diagnosis is critical to manage the disease and prevent progression to serious myeloid neoplasms like myelofibrosis or acute myeloid leukemia, though definitive diagnosis remains challenging. Materials and methods: We retrieved seven publicly available microarray datasets from GEO database. Data preprocessing included normalization and batch correction using limma and SVA packages. Differentially expressed genes (DEGs) were identified via robust rank aggregation (RRA). Protein-protein interaction networks, GO and KEGG analyses were performed. qRT-PCR was used to verify the expression of key genes in control subjects and patients with ET. Immune infiltration was analyzed with CIBERSORT, while logistic regression and LASSO models validated the diagnostic potential of the identified genes. Functional assays including shRNA knockdown, CCK-8, apoptosis detection, and Western blot were conducted in primary CD34+ cell-derived megakaryocytes from ET patients. Results: Eleven key DEGs were identified, and the logistic regression model achieved area under the curve of 0.846 and 0.863 for the training and test sets, respectively. Immune infiltration analysis revealed significant changes in B, T, and NK cells. The qRT-PCR analysis revealed Conclusion: This study identified an eleven-gene signature that links IL-17 and NOD-like receptor signaling to megakaryocyte dysfunction and immune dysregulation in ET.

Indexed as

InflammationSignal TransductionThrombocythemia, EssentialApoptosisGene Expression ProfilingHumansMegakaryocytesProtein Interaction Mapsdiagnostic biomarkersessential thrombocythemiaimmune infiltrationmachine learningrobust rank aggregation

Identifiers

PMID42136634
PMCPMC13167937

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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.