Evidence map›Paper›PMID 32842508›Full record

ArticleCancers2020

Marker Identification of the Grade of Dysplasia of Intraductal Papillary Mucinous Neoplasm in Pancreatic Cyst Fluid by Quantitative Proteomic Profiling.

Misol Do, Hongbeom Kim, Dongyoon Shin, Joonho Park, Haeryoung Kim, Youngmin Han, Jin-Young Jang, Youngsoo Kim

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. 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
0.8field-weighted citation impact, top 26% 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.

  1. Article
  2. Article
  3. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Clinical and Molecular Attributes and Evaluation of Pancreatic Cystic Neoplasm.Biochimica et biophysica acta. Reviews on cancer · 2023
    Review
  9. Pancreatic Incidentaloma.Journal of clinical medicine · 2022
    Review
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

8 authors at 1 institution in 1 country.

Misol DoDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0002-2475-6510
Hongbeom KimDepartment of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.
Dongyoon ShinDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea.
Joonho ParkDepartment of Biomedical Engineering, Seoul National University College of Medicine, Seoul 03080, Korea.
Haeryoung KimDepartment of Pathology, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0002-4205-9081
Youngmin HanDepartment of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.
Jin-Young JangDepartment of Surgery, Seoul National University College of Medicine, Seoul 03080, Korea.
Youngsoo KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0001-8881-0662
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of patients with pancreatic cystic lesions, particularly intraductal papillary mucinous neoplasm (IPMN), is increasing. Current guidelines, which primarily consider radiological features and laboratory data, have had limited success in predicting malignant IPMN. The lack of a definitive diagnostic method has led to low-risk IPMN patients undergoing unnecessary surgeries. To address this issue, we discovered IPMN marker candidates by analyzing pancreatic cystic fluid by mass spectrometry. A total of 30 cyst fluid samples, comprising IPMN dysplasia and other cystic lesions, were evaluated. Mucus was removed by brief sonication, and the resulting supernatant was subjected to filter-aided sample preparation and high-pH peptide fractionation. Subsequently, the samples were analyzed by LC-MS/MS. Using several bioinformatics tools, such as gene ontology and ingenuity pathway analysis, we detailed IPMNs at the molecular level. Among the 5834 proteins identified in our dataset, 364 proteins were differentially expressed between IPMN dysplasia. The 19 final candidates consistently increased or decreased with greater IPMN malignancy. CD55 was validated in an independent cohort by ELISA, Western blot, and IHC, and the results were consistent with the MS data. In summary, we have determined the characteristics of pancreatic cyst fluid proteins and discovered potential biomarkers for IPMN dysplasia.

Indexed as

biomarkersintraductal papillary mucinous neoplasm (IPMN)LC-MS/MSmucinous cystic neoplasm (MCN)pancreatic cyst fluidserous cystic neoplasm (SCN)

Identifiers

PMID32842508
PMCPMC7565268
OpenAlexW3081228868

What OpenQuestion holds

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Read underepoch 390

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.