Evidence map›Paper›PMID 38660669›Full record

ArticleWorld journal of gastrointestinal oncology2024

Establishment of a cholangiocarcinoma risk evaluation model based on mucin expression levels.

Chun-Yuan Yang, Li-Mei Guo, Yang Li, Guang-Xi Wang, Xiao-Wei Tang, Qiu-Lu Zhang, Ling-Fu Zhang, Jian-Yuan Luo

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Chun-Yuan YangDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, Beijing 100191, China.
Li-Mei GuoDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, Beijing 100191, China. guolimei@bjmu.edu.cn.
Yang LiDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, Beijing 100191, China.
Guang-Xi WangDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, Beijing 100191, China.
Xiao-Wei TangDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, Beijing 100191, China.
Qiu-Lu ZhangDepartment of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, Beijing 100191, China.
Ling-Fu ZhangDepartment of General Surgery, Peking University Third Hospital, Beijing 100191, China.
Jian-Yuan LuoDepartment of Medical Genetics, Department of Biochemistry and Biophysics, School of Basic Medical Sciences Peking University, Peking University Health Science Center, Beijing 100191, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholangiocarcinoma (CCA) is a highly malignant cancer, characterized by frequent mucin overexpression.

aimTo investigate the functions of mucins on the progression of CCA and to establish a risk evaluation formula for stratifying CCA patients.

methodsSingle-cell RNA sequencing data from 14 CCA samples were employed for elucidating the roles of mucins, complemented by bioinformatic analyses. Subsequent validations were conducted through spatial transcriptomics and immunohistochemistry. The construction of a risk evaluation model utilized the least absolute shrinkage and selection operator regression algorithm, which was further confirmed by independent cohorts and diverse data types.

resultsCCA tumor cells with elevated levels of

conclusionOur study elucidates the functional mechanisms through which mucins contribute to CCA development, and provides tools for risk stratification in CCA.

Indexed as

CholangiocarcinomaMucinPrognosisSingle-cell RNA sequencingSpatial transcriptomics

Identifiers

PMID38660669
PMCPMC11037065
OpenAlexW4394633311

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.