Evidence map›Paper›PMID 36646721›Full record

ArticleNature communications2023

Integrative analysis of multiple genomic data from intrahepatic cholangiocarcinoma organoids enables tumor subtyping.

Hee Seung Lee, Dai Hoon Han, Kyungjoo Cho, Soo Been Park, Chanyang Kim, Galam Leem, Dawoon E Jung, Soon Sung Kwon, Chul Hoon Kim, Jung Hyun Jo and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  16. Advancing cancer research through organoid technology.Journal of translational medicine · 2024
    Review
  17. Article
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  19. Organoids and spheroids: advancedFrontiers in cell and developmental biology · 2024
    Review
  20. 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

13 authors at 1 institution in 1 country.

Hee Seung Lee *Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Dai Hoon Han *Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, Korea.
Kyungjoo ChoDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Soo Been ParkDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Chanyang KimDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Galam LeemDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Dawoon E JungDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Soon Sung KwonDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Chul Hoon KimDepartment of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jung Hyun JoDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Hye Won LeeDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Si Young SongDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea. sysong@yuhs.ac.ORCID 0000-0002-1417-4314
Jun Yong ParkDivision of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea. DRPJY@yuhs.ac.ORCID 0000-0001-6324-2224
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As genomic analysis technology has advanced, it has become possible to sub-classify intrahepatic cholangiocarcinoma (ICC) at the histological or molecular level. Here, we verify the recently suggested two subgroups of ICC in the organoids model, compare the characteristics between types. ICC patients are subclassified into small-duct (SD) and large-duct (LD) subtype according to histological characteristics. ICC organoids are established, and unsupervised principal component analysis clustering separates each type of ICC. Differential gene expression reveals enrichment on KRAS, TGFβ and ERBB2 signaling pathways in LD-type compared with SD-type (P < 0.05). Gene set enrichment analysis demonstrates that the cholangiocarcinoma class 2 signature, defined by Andersen et al., is enriched in the LD-type (enrichment Score = 2.19, P < 0.001). A protein-protein interaction network analysis identifies ZNF217 as a significant hub protein (odds ratio = 4.96, P = 0.0105). We perform prospective modeling of histological subtype using patient-derived organoids. Moreover, gene expression profiling of ICC organoids enables identification of type-specific targetable pathways.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaBile Ducts, IntrahepaticGenomicsHumansProspective Studies

Identifiers

PMID36646721
PMCPMC9842736
OpenAlexW4316662918

What OpenQuestion 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 OpenQuestion graph.