Abstract 1404: L1CAM in non-small-cell lung carcinoma
Bibliographic record
Abstract
Abstract Background: Non-small-cell lung carcinoma (NSCLC) is the predominant type of lung cancer, accounting for 85% of all malignant lung tumors. Early stage (I-II) NSCLC is primarily treated by surgical resection with curative intent, but at least 50% of these patients will experience tumor recurrence and die from it. Recent clinical trials have demonstrated the survival benefit of post-surgery adjuvant chemotherapy in stage II and III patients, but its benefit in stage I remains controversial. Our group has previously reported a 15-gene mRNA expression profile that is predictive of patient prognosis and predictive of benefit from adjuvant chemotherapy by cisplatin and vinorelbine. We hypothesize that these genes may play important roles in malignant progression. One of these prognostic genes is L1CAM, a transmembrane protein. The role of L1CAM in the biology of NSCLC cells has not been clearly defined. Methods: The expression of L1CAM was modified at both the RNA and protein levels in H460, H1264, H125, and H460SM cell lines using the lentiviral cDNA/shRNA system. Matrigel assay was used to assess invasion and cell migration by time-lapse wound-healing assay. Tumorigenicity was assessed by injection of modified cell lines into subcutaneous flank of immunodeficient mice. Results: In vitro studies show that L1CAM expression promotes invasiveness and motility of NSCLC cell lines. In vivo studies demonstrate that knock-down of L1CAM expression reduces tumor growth in immunodeficient mice. Mechanistic studies on L1CAM function are ongoing and the results will be presented. Conclusion: Considering the importance of migratory phenotype during metastasis, the results suggest that L1CAM contribute to malignant progression in NSCLC and may be a novel therapeutic target to treat this disease. (Supported by Canadian Cancer Society Research Institute grant #020527) Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1404. doi:10.1158/1538-7445.AM2011-1404
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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 | 0.000 | 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) | 0.003 | 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".