Single-cell transcriptomic analysis and machine learning identify ATAD3A as a key gene that stabilizes mitochondrial-endoplasmic reticulum membranes, promoting bladder cancer progression.
Level 5 - mechanism / opinion, no new human data
Preclinical bench and animal research combined with retrospective bioinformatics analyses.
PubMed 41715136 · doi:10.1186/s12967-026-07857-0
What was done
The authors analyzed bulk, single-cell, and spatial transcriptomic datasets in bladder cancer (BCa) to evaluate mitochondria-associated endoplasmic reticulum membrane (MAM) gene expression. A MAM risk signature was constructed using LASSO-Cox regression, Kaplan-Meier curves, and ROC analysis. Tumor immune infiltration and cell-cell communication were assessed via CIBERSORT and CellChat. Machine learning (random forest) identified cisplatin-resistance genes. Mechanistic roles of ATAD3A were validated in cell and animal models using transmission electron and fluorescence confocal microscopy.
What was found
The authors reported that high MAM risk scores associated with an immunosuppressive tumor microenvironment, poor survival, and chemotherapy resistance, though no numerical values (hazard ratios, AUCs, or p-values) were provided in the abstract. Random forest modeling pinpointed ATAD3A as a key driver of cisplatin resistance. ATAD3A was overexpressed in BCa tissues, and its knockdown suppressed tumor growth while disrupting MAM integrity, mitochondrial calcium homeostasis, and membrane potential.
Why it matters
The findings connect MAM integrity to cisplatin resistance in bladder cancer, highlighting ATAD3A as a potential therapeutic target and prognostic biomarker.
Limits
The abstract reports no sample sizes for the datasets, human specimens, cell lines, or animal cohorts, and provides no quantitative metrics or effect sizes. Clinical relevance is limited by reliance on retrospective computational datasets and preclinical disease models.
Cited by
- supports Mitochondria-associated endoplasmic reticulum membranes (MAMs) are structurally abnormal in cancer cells under electron microscopy.