Evidence map›Paper›PMID 37848412›Full record

ArticleSignal transduction and targeted therapy2023

Cyst fluid glycoproteins accurately distinguishing malignancies of pancreatic cystic neoplasm.

Ming Cui, Ya Hu, Zejian Zhang, Tianqi Chen, Menghua Dai, Qiang Xu, Junchao Guo, Taiping Zhang, Quan Liao, Jun Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 2 institutions in 2 countries.

Ming Cui *Department of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.ORCID http://orcid.org/0000-0001-8770-4585
Ya Hu *Department of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Zejian ZhangDepartment of Medical Research Center, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Tianqi ChenDepartment of Medical Research Center, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Menghua DaiDepartment of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Qiang XuDepartment of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Junchao GuoDepartment of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Taiping ZhangDepartment of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Quan LiaoDepartment of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Jun YuDepartment of Medicine, Oncology, and Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA.
Yupei ZhaoDepartment of General Surgery, Key Laboratory of Research in Pancreatic Tumor, State Key Laboratory of Complex Severe and Rare Disease, National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. zhao8028@263.net.ORCID http://orcid.org/0000-0001-7081-2299
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cystic neoplasms (PCNs) are recognized as precursor lesions of pancreatic cancer, with a marked increase in prevalence. Early detection of malignant PCNs is crucial for improving prognosis; however, current diagnostic methods are insufficient for accurately identifying malignant PCNs. Here, we utilized mass spectrometry (MS)-based glycosite- and glycoform-specific glycoproteomics, combined with proteomics, to explore potential cyst fluid diagnostic biomarkers for PCN. The glycoproteomic and proteomic landscape of pancreatic cyst fluid samples from PCN patients was comprehensively investigated, and its characteristics during the malignant transformation of PCN were analyzed. Under the criteria of screening specific cyst fluid biomarkers for the diagnosis of PCN, a group of cyst fluid glycoprotein biomarkers was identified. Through parallel reaction monitoring (PRM)-based targeted glycoproteomic analysis, we validated these chosen glycoprotein biomarkers in a second cohort, ultimately confirming N-glycosylated PHKB (Asn-935, H5N2F0S0; Asn-935, H4N4F0S0; Asn-935, H5N4F0S0), CEACAM5 (Asn-197, H5N4F0S0) and ATP6V0A4 (Asn-367, H6N4F0S0) as promising diagnostic biomarkers for distinguishing malignant PCNs. These glycoprotein biomarkers exhibited robust performance, with an area under the curve ranging from 0.771 to 0.948. In conclusion, we successfully established and conducted MS-based glycoproteomic analysis to identify novel cyst fluid glycoprotein biomarkers for PCN. These findings hold significant clinical implications, providing valuable insights for PCN decision-making, and potentially offering therapeutic targets for PCN treatment.

Indexed as

Neoplasms, Cystic, Mucinous, and SerousPancreatic CystPancreatic NeoplasmsCyst FluidGlycoproteinsHumansProteomicsGlycoproteins

Identifiers

PMID37848412
PMCPMC10582020
OpenAlexW4387697548

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.