Evidence map›Paper›PMID 39035743›Full record

ArticleFrontiers in oncology2024

Novel diagnostic biomarkers for pancreatic cancer: assessing methylation status with epigenetic-specific peptide nucleic acid and KRAS mutation in cell-free DNA.

Hongsik Kim, Jinah Chu, In-Gu Do, Yong-Pyo Lee, Hee Kyung Kim, Yaewon Yang, Jihyun Kwon, Ki Hyeong Lee, Chinbayar Batochir, Eunji Jo and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Catching pancreatic cancer early: Are we there yet?Journal of the National Cancer Center · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
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

12 authors.

Hongsik KimDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Jinah ChuDepartment of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
In-Gu DoDepartment of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yong-Pyo LeeDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Hee Kyung KimDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Yaewon YangDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Jihyun KwonDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Ki Hyeong LeeDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Chinbayar BatochirSeasun Biomaterials, Daejeon, Republic of Korea.
Eunji JoSeasun Biomaterials, Daejeon, Republic of Korea.
Kyo Rim KimSeasun Biomaterials, Daejeon, Republic of Korea.
Hye Sook HanDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive tumor with a poor prognosis that poses challenges for diagnosis using traditional tissue-based techniques. DNA methylation alterations have emerged as potential and promising biomarkers for PDAC. In this study, we aimed to assess the diagnostic potential of a novel DNA methylation assay based on epigenetic-specific peptide nucleic acid (Epi-sPNA) in both tissue and plasma samples for detecting PDAC. Materials and methods: The study involved 46 patients with PDAC who underwent surgical resection. Epi-TOP pancreatic assay was used to detect PDAC-specific epigenetic biomarkers. The Epi-sPNA allowed accurate and rapid methylation analysis without bisulfite sample processing. Genomic DNA extracted from paired normal pancreatic and PDAC tissues was used to assess the diagnostic efficacy of epigenetic biomarkers for PDAC. Subsequent validation was conducted on cell-free DNA (cfDNA) extracted from plasma samples, with 10 individuals represented in each group: PDAC, benign pancreatic cystic neoplasm, and healthy control. Results: The combination of seven epigenetic biomarkers ( Conclusion: Our study suggests that analyzing seven differentially methylated genes with

Indexed as

biomarkercell-free DNADNA methylationpancreatic ductal carcinomapeptide nucleic acid

Identifiers

PMID39035743
PMCPMC11257850

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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.