PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 25, 2026Annals of Hematology0 citationsOpen Access

Bioinformatics-driven dissection of PANoptosis-related molecular subtypes and tumor immune microenvironment heterogeneity in pediatric acute myeloid leukemia

WPWen-ting PeiCLChun-lei LiuLXLi X

Key Points

  • The aim is to explore PANoptosis-related molecular subtypes and tumor immune microenvironment heterogeneity in pediatric AML.
  • Performed bioinformatic analyses using AML bone marrow transcriptomic data from the TARGET database.
  • Identified 68 PANoptosis-related genes and resolved four molecular subtypes (C1–C4) through unsupervised clustering.
  • Conducted in silico molecular docking studies to identify candidate small-molecule binders.
  • C2 subtype showed robust CD8⁺ T-cell and NK cell activity associated with favorable prognosis.
  • C1 subtype exhibited immune suppression linked to poor survival outcomes.
  • Identified an IGF1–CCL2–CCL4 gene set correlated with PANoptosis regulation, enriched in Toll-like receptor signaling.

Abstract

PANoptosis, an integrated programmed cell death modality encompassing apoptosis, necroptosis, and pyroptosis, exerts pleiotropic effects on tumor immune surveillance and immune escape. However, the molecular mechanisms underlying PANoptosis in pediatric acute myeloid leukemia (AML) remain poorly elucidated. Here, we performed bioinformatic analyses of AML bone marrow transcriptomic data from the TARGET database, aiming to define PANoptosis-associated molecular subtypes, characterize tumor immune microenvironment (TIME) heterogeneity, and identify candidate regulatory genes and small-molecule binders. We identified 68 PANoptosis-related genes and used unsupervised clustering to resolve four molecular subtypes (C1–C4) with distinct clinical outcomes and TIME profiles. The C2 subtype exhibited robust CD8⁺ cytotoxic T-cell and natural killer (NK) cell activity linked to favorable prognosis, whereas the C1 subtype displayed immune suppression and poor survival. We identified an IGF1–CCL2–CCL4 gene set correlated with PANoptosis regulation and enriched in Toll-like receptor signaling. In silico molecular docking suggested SB216763 as a candidate ligand for these targets, though this requires experimental validation. Our findings outline PANoptosis-associated heterogeneity in pediatric AML and provide a stratification framework for future mechanistic and translational studies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Pei et al. (2026) studied this question.

synapsesocial.com/papers/6a13e8d20e02ee3982d335d1https://doi.org/10.1007/s00277-026-07082-1
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Comprehensive Analyses of PANoptosome with Potential Implications in Cancer Prognosis and Immunotherapy2024 · 8 citations
  2. 2<scp>PANoptosis</scp> and Immune Remodeling in the Tumor Microenvironment2026
  3. 3A potential strategy to rebuild the tumor immune microenvironment: PANoptosis2025
  4. 4Machine learning-based characterization of a PANoptosis-associated model for enhancing prognosis and immunotherapy response in lung adenocarcinoma patients2025
  5. 5Integrated <scp>PANoptosis</scp> Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of <scp>MLKL</scp> in Glioblastoma2026