Involvement of multiple developmental genes on chromosome 1p in lung tumorigenesis
Bibliographic record
Abstract
Lung cancer is the leading cause of cancer death in North America. Despite advances in lung cancer treatment, the overall 5 year survival rate for those diagnosed with the disease is bleak presumably due to the late stage of diagnosis. Owing to the difficulty of early detection, preneoplastic specimens are rare. However, studying both preinvasive and invasive stages of disease is necessary to fully understand lung cancer progression. Aberration of chromosome arm 1p is common in lung and other cancers. In this study, we used a genomic array with complete tiling coverage of 1p to profile preinvasive and invasive squamous non-small cell lung carcinoma samples. With this technology, multiple novel submegabase alterations were identified. Three of the 1p alterations harbored genes belonging to gene families known to be involved in cancer development through either the Wnt or the Notch developmental pathways. Our finding of a 0.4 Mb amplified region at 1p36.12 containing WNT4 in preinvasive lung cancer, coupled with the identification of three additional alterations in invasive tumors that also contain genes related to the Notch and Wnt pathways, strongly suggests an intricate role of these pathways in early and late stages of lung cancer development. Furthermore, ectopic expression of DVL1, LRP8 and Notch2 in malignant lung tissue validates the biological impact of these genetic alterations. Importantly, this implication of pathways known only to be activated in fetal lung development lends support to the proposed model of lung cancer ontology whereby tumors arise from dysregulated pleuripotent stem cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".