Abstract CN07-03: Natural history of bronchial preneoplasia
Bibliographic record
Abstract
Abstract Preinvasive bronchial lesions defined as dysplasia and carcinoma in-situ (CIS) have been considered as precursors of squamous cell carcinoma of the lung. The risk and rate of progression of preinvasive lesions to invasive squamous cell carcinoma as well as the mechanism of progression or regression are incompletely understood. The evidence for the multistage, stepwise progression model is weak with relatively few documented lesions that progress through normal to hyperplasia, metaplasia and various grades of dysplasia to CIS and then to invasive carcinoma. Collective data from longitudinal studies using autofluorescence bronchoscopy directed sequential bronchial biopsies from the Netherlands, Canada, France, and Japan as well as published data suggest that the time to development of CIS or invasive squamous cell carcinoma from precursor lesions does not follow an anticipated trend from a stepwise progression model. Aside from severe dysplasia that has the shortest progression time, there is no pattern between the baseline pathology and the time of development of CIS or invasive cancer. The presence of dyspalsia or CIS is a field cancerization risk marker for lung cancer both in the central airways and peripheral lung. Specific genetic alterations and host factors such as the inflammatory load and levels of anti-inflammatory proteins in the lung likely influence the progression or regression of pre-invasive lesions. Recently, using integrative genomic approach, combining high-resolution comparative genomic hybridization and gene expression microarray profiles, the focal amplification of an oncogene -BRF2 in chromosome region 8p12 was found to be specific for development of lung squamous cell carcinoma through the increase of Pol III mediated transcription. BRF2 was frequently activated in carcinoma in situ and dysplasia (PLoS Med 7(7): e1000315. doi:10.1371/journal.pmed.1000315). Molecular analysis of rare lesions that progress from normal, hyperplasia, metaplasia or dysplasia to CIS or invasive cancer will shed further light on the key molecular determinants driving development to an invasive phenotype versus those associated with tobacco smoke damage. Citation Information: Cancer Prev Res 2010;3(12 Suppl):CN07-03.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".