Evidence map›Paper›PMID 40285860›Full record

ArticleJournal of gastroenterology2025

Identification of novel plasma proteins as promising noninvasive biomarker for early diagnosis and surveillance of pancreatic ductal adenocarcinoma.

Shuang Liu, Jiachun Su, Hongzhe Zhao, Ruihong Bai, Lingxing Zeng, Chunling Xue, Shuang Deng, Shaoqiu Liu, Ziming Chen, Zilan Xu and 9 more

Erratum issuedAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Shuang Liu *State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jiachun Su *State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Hongzhe Zhao *State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Ruihong BaiState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Lingxing ZengState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Chunling XueState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Shuang DengState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Shaoqiu LiuState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Ziming ChenState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Zilan XuState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yifan ZhouState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Sihan ZhaoState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xiaoyu WuState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xinyi PengState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jialiang ZhangState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xudong HuangState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jian ZhengState Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China. zhengjian@sysucc.org.cn.
Chongyu ZhaoDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Lu ZhengDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Army Medical University, Chongqing, China.

Funding

National Key R&D Program of China 2021YFA1302100Natural Science Foundation of China 82003162Natural Science Foundation of China 82072617Natural Science Foundation of China 82272694Natural Science Foundation of China 82303882Natural Science Foundation of China 82325037Program for Guangdong Introducing Innovative and Entrepreneurial Teams 2017ZT07S096
6 · The paper itself

Abstract

backgroundAlthough cancer antigen 19-9 (CA 19-9) is the only FDA-approved biomarker for pancreatic ductal adenocarcinoma (PDAC), its diagnostic effectiveness is limited, as it may not be elevated in 15-25% of patients. This study aims to explore novel plasma proteins associated with PDAC as potential biomarkers for early diagnosis and clinical surveillance.

methodsNovel plasma protein biomarkers potentially causally associated with PDAC were identified using Mendelian randomization (MR). These biomarkers were validated in a multicenter study encompassing 230 tissue and 1,011 plasma samples to establish a diagnostic model for PDAC. Furthermore, their pre- and post-operative levels were compared to evaluate their potential as clinical surveillance biomarkers.

resultsGenetically predicted expression of seven proteins potentially causally associated with an increased risk of PDAC. In a multicenter, large-scale study, Keratin 5 (KRT5) and Versican (VCAN) were identified as promising biomarkers for PDAC, with an area under the curve (AUC) of 0.90, and a combined panel including CA 19-9 achieved an AUC of 0.95. Additionally, plasma KRT5 and VCAN demonstrated superior diagnostic performance for early-stage PDAC with CA 19-9 levels below 37 U/mL (Stage I, AUC 0.85; Stage II, AUC 0.85). The specificity of plasma KRT5 and VCAN for PDAC was further validated by comparing their expression levels across various digestive cancers. Moreover, a significant decrease in plasma KRT5 and VCAN levels was observed post-surgery (P < 0.05), supporting their potential as biomarkers for clinical surveillance of PDAC.

conclusionsPlasma KRT5 and VCAN proteins may serve as promising valuable biomarkers for the early diagnosis and clinical surveillance of PDAC.

Indexed as

Biomarkers, TumorBlood ProteinsCarcinoma, Pancreatic DuctalPancreatic NeoplasmsVersicansAgedCA-19-9 AntigenEarly Detection of CancerFemaleHumansMaleMiddle AgedBiomarkers, TumorBlood ProteinsCA-19-9 AntigenVersicansClinical surveillanceEarly diagnosisPancreatic ductal adenocarcinomaPlasma protein

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.