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Record W2532326599 · doi:10.18632/oncotarget.12834

Reg proteins promote acinar-to-ductal metaplasia and act as novel diagnostic and prognostic markers in pancreatic ductal adenocarcinoma

2016· article· en· W2532326599 on OpenAlex
Qing Li, Hao Wang, George Zogopoulos, Qin Shao, Kun Dong, Fudong Lv, Karam Nwilati, Xianyong Gui, Adeline Cuggia, Jun‐Li Liu, Zu‐Hua Gao

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of CalgaryMcGill University Health Centre
Fundersnot available
KeywordsPancreatic Intraepithelial NeoplasiaMedicineCancerPancreasInternal medicinePancreatic ductal adenocarcinomaPancreatic cancerGastroenterologyOncologyPathology

Abstract

fetched live from OpenAlex

// Qing Li 1, * , Hao Wang 2, * , George Zogopoulos 3, 4 , Qin Shao 5 , Kun Dong 6 , Fudong Lv 6 , Karam Nwilati 1 , Xian-yong Gui 7 , Adeline Cuggia 4 , Jun-Li Liu 1 , Zu-hua Gao 5 1 Fraser Laboratories for Diabetes Research, Department of Medicine, McGill University Health Centre, Montreal, QC, Canada 2 Department of Oncology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China 3 Department of Surgery, McGill University Health Centre, Montreal, QC, Canada 4 Quebec Pancreas Cancer Study, McGill University Health Centre, Montreal, QC, Canada 5 Department of Pathology, McGill University Health Centre, Montreal, QC, Canada 6 Department of Pathology, You An Hospital, Capital Medical University, Beijing, China 7 Department of Pathology, University of Calgary, Calgary, AB, Canada * These authors have contributed equally Correspondence to: Zu-hua Gao, email: zu-hua.gao@mcgill.ca Jun-Li Liu, email: jun-li.liu@mcgill.ca Keywords: Reg family proteins, pancreatic ductal adenocarcinoma, acinar-to-ductal metaplasia, pancreatic intraepithelial neoplasia, cholangiocarcinoma Received: March 01, 2016     Accepted: October 13, 2016     Published: October 24, 2016 ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignant tumor. Acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN) are both precursor lesions that lead to the development of PDAC. Reg family proteins (Reg1A, 1B, 3A/G, 4) are a group of calcium-dependent lectins that promote islet growth in response to inflammation and/or injuries. The aim of this study was to establish a role for Reg proteins in the development of PDAC and their clinical value as biomarkers. We found that Reg1A and Reg3A/G were highly expressed in the ADM tissues by immunohistochemistry. In the 3-dimensional culture of mouse acinar cells, Reg3A promoted ADM formation with concurrent activation of mitogen-acitvated protein kinase. Upregulation of Reg1A and Reg1B levels was observed as benign ductal epithelium progresses from PanIN to invasive PDAC. Patients with PDAC showed significantly higher serum levels of Reg1A and Reg1B than matching healthy subjects. These results were further validated by the quantification of Reg 1A and 1B mRNA levels in the microdissected tissues (22- and 6-fold increases vs. non-tumor tissues). Interestingly, patients with higher levels of Reg1A and 1B exhibited improved survival rate than those with lower levels. Furthermore, tissue expressions of Reg1A, Reg1B, and Reg4 could differentiate metastatic PDAC in the liver from intrahepatic cholangiocarcinoma with 92% sensitivity and 95% specificity. Overall, our results demonstrate the upregulation of Reg proteins during PDAC development. If validated in larger scale, Reg1A and Reg1B could become clinical markers for detecting early stages of PDAC, monitoring therapeutic response, and/or predicting patient’s prognosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.295
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it