Evidence map›Paper›PMID 39377143›Full record

ArticleCancer science2024

Usefulness of multigene liquid biopsy of bile for identifying driver genes of biliary duct cancers.

Shin Ito, Mika Ando, Shuichi Aoki, Satoshi Soma, Jie Zhang, Naohiro Hirano, Ryosuke Kashiwagi, Keigo Murakami, Shingo Yoshimachi, Hideaki Sato and 10 more

Abstract read
In one paragraph

Article in Cancer science, 2024. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Cholangiocarcinoma: The era of liquid biopsy.World journal of gastroenterology · 2025
    Review
  7. Review
  8. Review
  9. 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

20 authors.

Shin ItoDivision of Molecular and Cellular Oncology, Miyagi Cancer Center Research Institute, Natori, Japan.
Mika AndoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shuichi AokiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Satoshi SomaDivision of Molecular and Cellular Oncology, Miyagi Cancer Center Research Institute, Natori, Japan.
Jie ZhangDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Naohiro HiranoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ryosuke KashiwagiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Keigo MurakamiDepartment of Investigative Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shingo YoshimachiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0002-8823-6696
Hideaki SatoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Akiko KusakaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Masahiro IsekiDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Koetsu InoueDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Masamichi MizumaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kiyoshi KumeDivision of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kei NakagawaDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0002-3058-5674
Atsushi MasamuneDivision of Gastroenterology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Naoki AsanoDivision of Cancer Stem Cell, Miyagi Cancer Center Research Institute, Natori, Japan.
Jun YasudaDivision of Molecular and Cellular Oncology, Miyagi Cancer Center Research Institute, Natori, Japan.ORCID https://orcid.org/0000-0002-3887-6871
Michiaki UnnoDepartment of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID https://orcid.org/0000-0002-2145-6416

Funding

Japan Society for the Promotion of Science 21H02996Japan Society for the Promotion of Science 21K07111Japan Society for the Promotion of Science 21K08748Japan Society for the Promotion of Science 23K08165Japan Society for the Promotion of Science 24K02515
6 · The paper itself

Abstract

Liquid biopsy (LB) is an essential tool for obtaining tumor-derived materials with minimum invasion. Bile has been shown to contain much higher free nucleic acid levels than blood plasma and can be collected through endoscopic procedures. Therefore, bile possesses high potential as a source of tumor derived cell-free DNA (cfDNA) for bile duct cancers. In this study, we show that a multigene panel for plasma LB can also be applied to bile cfDNA for comparing driver gene mutation detection in other sources (plasma and tumor tissues of the corresponding patients). We collected cfDNA samples from the bile of 24 biliary tract cancer cases. These included 17 cholangiocarcinomas, three ampullary carcinoma, two pancreatic cancers, one intraductal papillary mucinous carcinoma, and one insulinoma. Seventeen plasma samples were obtained from the corresponding patients before surgical resection and subjected to the LiquidPlex multigene panel LB system. We applied a machine learning approach to classify possible tumor-derived variants among the prefiltered variant calls by a LiquidPlex analytical package with high fidelity. Among the 17 cholangiocarcinomas, we could detect cancer driver mutations in the bile of 10 cases using the LiquidPlex system. Of the biliary tract cancer cases examined with this method, 13 (54%) and 4 (17%) resulted in positive cancer driver mutation detection in the bile and plasma cfDNAs, respectively. These results suggest that bile is a more reliable source for LB than plasma for multigene panel analyses of biliary tract cancers.

Indexed as

BileBile Duct NeoplasmsMutationAgedAged, 80 and overBiomarkers, TumorCell-Free Nucleic AcidsCholangiocarcinomaCirculating Tumor DNAFemaleHumansLiquid BiopsyMachine LearningMaleMiddle AgedBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAbilebiliary duct cancerliquid biopsymachine learningmultigene panel

Identifiers

PMID39377143
PMCPMC11611759

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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.