Comparative Transcriptome Analyses Highlight Distinct Pathogenetic Mechanisms for Pleuropulmonary Blastoma and Congenital Pulmonary Airway Malformations
Bibliographic record
Abstract
Pleuropulmonary blastoma (PPB) and congenital pulmonary airway malformations (CPAM) are two rare cystic lung diseases occurring in childhood. PPB can evolve from a low-grade epithelial cyst lesion to a high-grade sarcoma with a poor prognosis, whereas CPAM usually has a favorable non-tumorous outcome. Clinical similarities complicate diagnosis and may delay appropriate care. PPB is associated with DICER1 mutations that disturb miRNA biogenesis, altering the miRNA repertoire. Conversely, KRAS mutations are detected in CPAM, but their implication remains unclear. To decipher the mechanisms underlying these diseases, we undertook a comprehensive analysis of molecular variations in CPAM and PPB lung lesions using genome-wide RNA-seq and miRNA-seq assays. Each pathology displayed a distinct expression profile revealing a unique etiology. CPAM presented misexpression of bronchial epithelial markers correlating with KRAS mutation, while changes in expression of distal lung epithelial and mesenchymal markers were PPB-specific. PPB also exhibited abnormal gain of expression of developmental transcription factors, likely due to perturbed Polycomb Repressive Complex 2 (PRC2) activity. Overexpression of miR-323a-3p, which targets the PRC2 subunit EED, correlated with decreased EED expression. Together, these observations propose a PPB pathogenetic mechanism connecting DICER1 mutations and altered miRNA profile to defective PRC2 activity, misexpression of developmental transcription factors, and cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".