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Article Quality Tracking
Cho WC, Yu WS, Hon TC, Cheung ETY, Wang XQ, Wong DA, Wong CSC, Cheuk W, Luk JM. Cadherin-17: A potential biomarker for early detection in pancreatic adenocarcinoma. World J Gastroenterol 2026; 32(48): 121570 [DOI: 10.3748/wjg.121570]
Reviewer's ID:
00182114
Submitted on:
November 05, 2026, 01:26
Peer-Review:
Anonymous
Reviewer's Country:
Japan
Conflicts-of-interest statement

Reviewers should recognize, acknowledge and disclose any potential conflict of interest that may include (but not be limited) to the following, and inform the editorial office immediately upon discovery of any conflict of interest, stopping if the article review process is underway.

Close personal and/or professional relationship with the author(s); submitted similar or competing manuscripts to BPG or other journals; studied together with the author(s) and/or has former student, resident, fellow, mentor or family relative relationship; and have had in last 5 years collaboration or common grants and/or publications or financial interest with the authors?
Criteria for Article Quality Tracking-Peer-Review

The mission of BPG is to comply with publishing ethics/standards established by the industry and to publish high quality articles. In addition, we strive to make a strict peer-review of each article submitted, and tracking the scientific quality of each is the mission of the editorial board members and/or peer-reviewers.

The following evaluation points are for editorial board members and/or peer-reviewers’ reference only in evaluating an article:

1 Ethics: Does the ethical approval form provided by the author meet the requirements?

2 Methods: Is the experimental method effective? Can it be repeated by fellow researchers (according to adequate textual/citation content presented)?

3 Results: Are the results true and authentic? Is the theory or hypothesis of universal significance validated or partially validated?

4 Figures and tables: Does the author provide perfect tables, line charts and/or graphs? Or, does the author provide figures and tables that are confusing, poorly constructed and/or not well-annotated?

5 Biostatistics: Does the author provide perfect biostatistics data? Or, does the author provide tables and line charts that have mistakes in the data?

6 References: Does the author scientifically and reasonably cite the latest references which are important in this field and related to the scientific problems and research hypotheses addressed in the study? Or, does the author self-cite, omit, mis-cite and/or over-cite references?

7 Language: Does the language in article correctly, clearly and concisely express the information? Or, does the article have multiple grammatical and spelling mistakes?

8 Caveats or drawbacks: What are the caveats or drawbacks for the results?

Comments to Authors
Please make a specific and meaningful evaluation on the objectivity, credibility and scientific quality of the article according to above listed criteria. Please identify which issues have been resolved by the author and which not, what problems still exist, and which method the author intends to adopt to solve the problem in the next step, etc. Your high quality conclusion will also be advantageous for the author’s efforts in conducting future research, will contribute to raising the reader’s interest, and will promote discipline development. Please fill in your detailed comments to authors at below:
In the context of cancer—specifically pancreatic cancer—CDH17 (cadherin-17) has recently garnered significant global attention as both an innovative biomarker for early diagnosis and a novel therapeutic target. While this protein normally functions as a cell adhesion molecule—facilitating the binding of cells within the digestive tract, such as the stomach and intestines—it is known to be overexpressed in pancreatic cancer. Its primary clinical significance and the latest research trends are outlined below: 1. Biomarker for Early Diagnosis • High Specificity and Overexpression: CDH17 levels are markedly elevated in pancreatic cancer tissue (particularly in pancreatic ductal adenocarcinoma) compared to healthy or adjacent normal tissue. • Potential for Early Detection: By analyzing CDH17 in blood or tissue samples—or by examining specific genetic polymorphisms (haplotype SNPs) and short-isoform splicing variants—CDH17 shows promise as a new diagnostic marker for pancreatic cancer, a disease that is notoriously difficult to detect at an early stage. 2. Role in Cancer Proliferation and Metastasis (Oncogene) • Promoting Carcinogenesis and Malignancy: Recent molecular biological research has demonstrated that CDH17 functions as an "oncogene," driving the proliferation, colony formation, migration, and invasion of pancreatic cancer cells. • Impact on Cell Survival: Studies have shown that "knocking down" (suppressing) CDH17 can trigger apoptosis (programmed cell death) in pancreatic cancer cells, indicating that the protein plays a critical role in their survival. 3. Development of Next-Generation Targeted Therapies Pancreatic cancer is a challenging, hard-to-treat malignancy that often shows poor response to conventional anticancer drugs; however, the development of new therapeutic approaches specifically targeting CDH17 is currently advancing rapidly. • Development of Antibody-Drug Conjugates (ADCs): Research is underway on a new class of drugs known as "ADCs"—such as ARB1002 and LM-350—which consist of an antibody that binds specifically to CDH17, linked to a potent cytotoxic agent. These agents bind to CDH17 on the surface of cancer cells, are internalized, and destroy the targeted cancer cells from within. • FDA Orphan Drug Designation: In January 2026, the anti-CDH17 ADC candidate ARB1002 received "Orphan Drug Designation" from the U.S. Food and Drug Administration (FDA) for the treatment of pancreatic cancer—a status that provides incentives to accelerate development—and has since advanced to Phase 1 clinical trials. • Antibody-based Drug Discovery in Japan: In Japan, research teams—including a group led by Professor Yukinari Kato at Tohoku University—have successfully developed monoclonal antibodies (such as Ca17Mab-5) that bind with high precision to intractable pancreatic cancer. These are currently being explored for applications in both diagnosis and treatment. Describe the use of CDH17 and CA19-9 as tumor markers. Additionally, discuss the use of anti-cancer drug therapies targeting CDH17 for pancreatic cancer.
Author Awards
1 Award aims: To praise the authors who have made outstanding contributions by publishing original and innovative Basic study, Clinical study, Case report and/or Review in any of the 43 open-access publications of BPG. Their publications represent meaningful contributions towards promoting the ability of readers to get the latest research results and towards the development of medical science. To thank such authors for their contributions, we have set up the ‘Baishideng Distinguished Award’ to track the quality of articles and award the corresponding authors.

2 Selection methods: Editorial board members will track the quality of the published articles in each issue, so that they can recognize excellent articles and categorize them for recommendation. Then, the annual Baishideng Distinguished Award winners will be selected according to the recommendation categories and the academic influence of the articles. The indexes for academic influence of the articles involves the number of citations, clicks and downloads the paper received.

3 Number of awards: Among articles published in the 43 journals of BPG, 12 total articles (3 Reviews, 3 Basic studies, 3 Clinical studies and 3 Case reports) will be recognized and their authors awarded.

4 Award amounts: The first prize will be 5000 USD. The second prize will be 3000 USD. The third prize will be 2000 USD. In addition, each winner will be presented an official certificate for their Baishideng Distinguished Award.

5 List of winners: The list of Baishideng Distinguished Award winners will be announced on the official BPG website.
Editorial board members and/or peer-reviewers should categorize articles according to the following recommendation categories, with consideration to results of the Track Article Quality assessment to identify excellent articles: