Evidence map›Paper›PMID 39455933›Full record

ArticleBMC cancer2024

Identification of molecular subtypes based on bile acid metabolism in cholangiocarcinoma.

Mingxia Deng, Jing Liu, Li Zhang, Yan Lou, Yunqing Qiu

Abstract read
In one paragraph

Article in BMC cancer, 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. Bile acid signaling in health and disease.Molecular biomedicine · 2026
    Review
  2. Review
  3. Review
  4. Involvement of bile acids in cholangiocarcinoma progressionWorld journal of gastrointestinal oncology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. 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

5 authors.

Mingxia Deng *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Jing Liu *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Li ZhangDepartment of Gastroenterology and Hepatology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China.
Yan LouState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. yanlou@zju.edu.cn.
Yunqing QiuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Drug Evaluation and Clinical Research of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. qiuyq@zju.edu.cn.

Funding

National Natural Science Foundation of China 81971982Science and Technology Department of Zhejiang Province 2020C03046
6 · The paper itself

Abstract

backgroundCholangiocarcinoma is a highly heterogeneous tumor with bile acid metabolism involving in its development. The aim of this study was to characterize bile acid metabolism and identify specific subtypes to better stratify cholangiocarcinoma patients for individualized treatment and prognostic assessment.

methodsA total of 30 bile acids were quantified using the ultra-performance liquid chromatography tandem mass spectrometry. Using Consensus clustering, the molecular subtypes related to bile acid metabolism were identified. The prognosis, clinicopathologic characteristics, immune landscape, and therapeutic response were compared between these subtypes. The single-cell RNA sequencing (scRNA-seq) analysis and preliminary cell experiment were also conducted to verify our findings.

resultsThe altered bile acid profile and genetic variation of bile acid metabolism-related genes in cholangiocarcinoma were demonstrated. The cholangiocarcinoma was categorized into bile acid metabolism-active and -inactive subtypes with different prognoses, clinicopathologic characteristics, tumor microenvironments (TME) and therapeutic responses. This categorization was reproducible and predictable. Specifically, the bile acid metabolism-active subtype showed a poor prognosis with an immunosuppressive microenvironment and an inactive response to immunotherapy, while the bile acid metabolism-inactive subtype showed the opposite characteristics. Moreover, the scRNA-seq revealed that immunotherapy altered bile acid metabolism in TME of cholangiocarcinoma. Finally, a prognostic signature related to bile acid metabolism was developed, which exhibited strong power for prognostic assessment of cholangiocarcinoma. Consistently, these results were verified by immunohistochemistry, cell proliferation, migration, and apoptosis assays.

conclusionIn conclusion, a novel cholangiocarcinoma classification based on bile acid metabolism was established. This classification was significant for the estimation of TME and prognosis.

Indexed as

Bile Acids and SaltsBile Duct NeoplasmsCholangiocarcinomaTumor MicroenvironmentBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisSingle-Cell AnalysisBile Acids and SaltsBiomarkers, TumorBile acidsCholangiocarcinomaPrognosisSubtypesTumor microenvironment

Identifiers

PMID39455933
PMCPMC11515294

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Registered trials

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