Abstract 5049: Functional significance of <i>L1CAM</i> in non-small cell lung cancer
Bibliographic record
Abstract
Abstract Background: Non-small cell lung cancer (NSCLC) accounts for 80% of all lung cancers. Early stage NSCLC patients are treated by complete surgical resection, but the 5-year survival rate remains relatively poor at 50%. Deaths are mainly due to metastatic recurrence. Post-surgery (adjuvant) chemotherapy may significantly improve survival, but improved selection methods for patients who are most likely to benefit from the adjuvant treatment are required. Our laboratory has recently identified a 15-gene expression signature capable of classifying patients based on risk of death and at the same time predicting benefits of adjuvant chemotherapy in high-risk patients (J Clin Oncol 26: 2008, May 20 suppl; abstr 7510). We hypothesize that genes whose expression are de-regulated significantly in patients with a poor prognosis may play important roles in tumorigenesis and metastasis. Our goal is to functionally characterize the roles of these prognostic genes in the growth and metastatic potential of NSCLC. One of these signature genes is L1CAM, a cell adhesion molecule. Although extensively characterized in the nervous system, the role of L1CAM in NSCLC has not been defined. Methods: We stably modified the expression of L1CAM at both the RNA and protein levels in NSCLC cell lines using the lentiviral cDNA/shRNA system. In vitro matrigel assays were used to assess invasion and cell migration by wound-healing assays. Results: Downregulation of L1CAM expression resulted in decreased invasiveness and motility of metastatic NSCLC cell lines. In contrast, loss of L1CAM did not alter the growth rate on plastic. Studies on anchorage-independent growth and in vivo tumorigenicity and metastatic potential are ongoing and the results will be presented. Conclusion: Considering the importance of migratory phenotype in the first steps of metastasis, the results suggest that L1CAM contributes to malignancy in NSCLC and may be a novel therapeutic gene for this disease. (Supported by Canadian Cancer Society Research Institute grant #020527) Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5049.
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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".