Abstract 4941: Overexpression of Reg proteins in human pancreatic ductal adenocarcinoma and acinar-to-ductal metaplasia
Bibliographic record
Abstract
Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancer types, with a 5-year survival rate <5%. Tumor specific biomarkers that can aid in early detection and treatment monitoring are urgently needed in order to improve the outcomes. Human Reg family proteins (Reg1A, Reg1B, Reg3A, Reg3G and Reg4) are a group of calcium-dependent (C-type) lectins that promote cell growth and respond to inflammatory stimulants. We examined their associations with pancreatic ductal adenocarcinoma (PDAC). In patients with PDAC, the serum levels of Reg1A and 1B were significantly elevated (p = 0.0003 and 0.0018), which correlated with TNM stages of the patients. By using immunohistochemistry (IHC), the expression of Reg1A, Reg1B and Reg4 was observed in the malignant glandular epithelium of pancreatic intraepithelial neoplasia (PanIN) and invasive PDAC. The intensity of Reg1A and Reg1B staining positively correlated with the histological grades of PanIN. The serum levels and tissue expression of Reg1A and Reg1B were negatively correlated with the differentiation grades of invasive PDAC. Additionally, patchy expression of Reg1A andReg3A/G was also observed in areas with acinar-to-ductal metaplasia (ADM) adjacent to cancer cells. Our data suggests that the changes in Reg proteins were closely associated with the carcinogenesis of PDAC. Reg1A and 1B proteins showed specificity for pancreatic ductal differentiation and could be used as clinical markers for early detection of PDAC, monitoring therapeutic response and predicting tumor recurrence after therapy and tumor metastasis. The expression of Reg family proteins in both ADM and PanIN cells supports the notion that ADM could be an alternative mechanism of PDAC carcinogenesis. Citation Format: Qing Li, Hao Wang, George Zogopoulos, Qin Shao, Jun-Li Liu, Zu-Hua Gao. Overexpression of Reg proteins in human pancreatic ductal adenocarcinoma and acinar-to-ductal metaplasia. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4941.
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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 | 0.001 | 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) | 0.001 | 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".