Evidence map›Paper›PMID 39680087›Full record

ArticleArchives of toxicology2025

A transcriptome-wide association study integrating multi-omics bioinformatics and Mendelian randomization reveals the prognostic value of ADAMDEC1 in colon cancer.

Cong Zhang, Dan Shi, Guichuan Lai, Kangjie Li, Yuan Zhang, Wenlong Li, Haijiao Zeng, Qiaoping Yan, Xiaoni Zhong, Biao Xie

Abstract read
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In one paragraph

Article in Archives of toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Cong Zhang *Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Dan Shi *Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China.
Guichuan LaiDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Kangjie LiDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Yuan ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Wenlong LiDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Haijiao ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Qiaoping YanDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Xiaoni ZhongDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China. zhongxiaoni@cqmu.edu.cn.
Biao XieDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China. kybiao@cqmu.edu.cn.ORCID 0000-0002-7474-4868

Funding

Chongqing Maternal and Child Disease Prevention and Control and Public Health Research Center Open Project CQFYJB01001National Youth Science Foundation Project 82204159Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202300423
6 · The paper itself

Abstract

An abundant amount of colon cancers is diagnosed every year, accounting for 9% of malignant tumors. Even with the progress of relevant research, the 5-year survival rate for colon cancer is still less than 60%, indicating that improving the prognosis of colon cancer is still a challenge that needs to be overcome. This study employed the algorithm "scissor" to integrate the single-cell sequencing data and bulk transcriptome data with prognosis information to predict prognosis-associated cells (PAC). Summary-data-based Mendelian randomization (SMR) analysis was conducted using expression quantitative trait loci data and GWAS data to identify genes having causal associations with prognosis phenotype in colon cancer patients and five traditional two-sample Mendelian randomization methods were utilized to confirm the results. Finally, our findings were validated based on two independent external validation datasets, GSE17536 and GSE39582. The real-world tissue dataset with corresponding immunohistochemical (IHC) experiments was utilized to confirm our findings. We determined that the majority of PACs were fibroblasts. On top of that, this study identified ADAMDEC1 as a gene that has a significant causal association with overall survival. ADAMDEC1, highly expressed in highly differentiated fibroblasts, was ascertained its high expression was linked with a better prognosis of patients with colon cancer by the related bulk transcriptome analysis. Our dataset presented that higher IHC scores were associated with a better prognosis for colon cancer, further validating our results. This study has identified ADAMDEC1 as a prognostic protective factor for patients with colon cancer, providing clues for clinical trials and drug experimental target research.

Indexed as

Colonic NeoplasmsTranscriptomeComputational BiologyGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansMendelian Randomization AnalysisMultiomicsPrognosisQuantitative Trait LociADAMDEC1BioinformaticsMendelian randomization analysisPrognosisScissorSMR

Identifiers

What Socratic holds

Textmetadata
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.