Abstract 2086: Role of the transcription factor NFE2L3 in TNFα signaling pathway in colorectal cancer
Bibliographic record
Abstract
Abstract Patients with inflammatory bowel disease have an increased risk of developing colorectal cancer (CRC), which is the third leading cause of cancer related deaths in the world. Our laboratory is studying the transcription factor NFE2L3 [nuclear factor (erythroid-derived 2)-like 3]. NFE2L3, a member of the Cap’n’Collar family, is a basic-region leucine zipper transcription factor that was identified 15 years ago. Contrary to its extensively studied homolog NFE2L2, the role of NFE2L3 in cancer is still unknown. We demonstrated that NFE2L3 functions as heterodimer by complexing with small Maf (musculoaponeurotic fibrosarcoma) proteins for DNA binding. According to the clinical databases, NFE2L3 is up-regulated in CRC compared to normal tissues. Using the colorimetric MTT viability assay, we determined the optimal concentration to treat colon cell lines with the tumor necrosis factor-alpha (TNFα), a pro-inflammatory cytokine associated with CRC tumorigenesis. We showed that protein levels of NFE2L3 and small Maf proteins are up-regulated by TNFα in CRC cells. We used genomic approaches for identifying genes that are modulated by NFE2L3 after TNFα treatments. The identification of the precise role of NFE2L3 in TNFα signaling pathway will lead to a better understanding of colorectal cancers and will help in the design of novel treatment options. Citation Format: Marina Bury, Volker Blank. Role of the transcription factor NFE2L3 in TNFα signaling pathway in colorectal cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2086. doi:10.1158/1538-7445.AM2015-2086
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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".