Evidence map›Paper›PMID 42630497›Full record

ReviewOncology research2026

Recent Advances in Non-Invasive Blood Markers for Intraductal Papillary Mucinous Neoplasm Grading.

Liang Chen, Yitong Yuchi, Qian Zhu

Abstract readReview
In one paragraph

Review in Oncology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Liang ChenSecond Clinical College, Wuhan University, Wuhan, China.
Yitong YuchiSchool of Basic Medical Sciences, Wuhan University, Wuhan, China.
Qian ZhuDepartment of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraductal Papillary Mucinous Neoplasm (IPMN) is a major precancerous lesion of pancreatic ductal adenocarcinoma. Accurate risk stratification of IPMN is key to preventing and controlling pancreatic cancer. At present, clinicians mainly grade IPMN following the Kyoto consensus guidelines, together with imaging examinations and traditional serum biomarkers like CA19-9 and CEA. This review unveils the latest research progress of non-invasive blood biomarkers for the grading of IPMN, including the diagnostic performance, molecular mechanisms, and current clinical translation of several types of markers. ApoAII has already been applied in clinical practice, and miRNA combinations, circulating cell-free DNA (cfDNA) methylation panels, and other markers show excellent value in IPMN stratification. However, the field still faces bottlenecks in clinical translation. In the future, researchers should focus on exploring specific targets for IPMN malignant transformation, unifying detection standards, and building multi-dimensional combined evaluation models. These efforts will help promote the application of non-invasive blood biomarkers in accurate IPMN grading and support the early screening and treatment of pancreatic cancer. It not only enables doctors to comprehensively understand the research status of existing non-invasive blood markers for IPMN, but also provides guidance for exploring promising non-invasive biomarkers in future studies.

Indexed as

Adenocarcinoma, MucinousBiomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic Intraductal NeoplasmsPancreatic NeoplasmsHumansMicroRNAsNeoplasm GradingBiomarkers, TumorMicroRNAsblood biomarkerscirculating free DNA (cfDNA)clinical translationinflammatory indicatorsIntraductal papillary mucinous neoplasm (IPMN)MicroRNA (miRNA)non-invasive gradingserum proteinstelomere

Identifiers

PMID42630497
PMCPMC13494505

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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.