Evidence map›Paper›PMID 40841878›Full record

ArticleClinical proteomics2025

Unveiling the protein landscape for early detection of colorectal precancerous lesions.

Yuanke Luo, Chong Xiao, Chuan Zheng, Simin Luo, Yifang Jiang, Fengming You, Xi Fu, Xueke Li

Erratum issuedAbstract readLetter
In one paragraph

Article in Clinical proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yuanke Luo *TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chong Xiao *TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chuan ZhengTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Simin LuoTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yifang JiangTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fengming YouTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xi FuTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China. fuxi884853@163.com.
Xueke LiTCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China. cathylxk@whu.edu.cn.ORCID http://orcid.org/0000-0003-3937-1274

Funding

THE NATIONAL NATURE SCIENCE FOUNDATION OF CHINA 82205072
6 · The paper itself

Abstract

Colorectal cancer (CRC) has emerged as the second most prevalent cause of cancer-related mortality globally. Early identification of precancerous lesions prone to malignant transformation is pivotal in CRC prevention. Proteins, as microscopic reflections of cellular functional states, offer insights into pathological alterations within precancerous lesions through changes in their expression and function. Our review summarizes the protein research on colorectal adenomas under different sample conditions, including traditional adenomas, serrated lesions, LST, FAP and IBD. It highlights the changes in the expression patterns of key proteins and their potential mechanisms underlying the transition from precancerous to cancerous states. Additionally, it summarizes the research on post-translational modifications of characteristic protein families and associated signaling pathways, while discussing current techniques for studying protein expression and function in colorectal cancer, such as proteomics and artificial intelligence. However, current research limitations, such as small sample sizes, limited sample types, and insufficient in-depth mechanistic analysis, hinder comprehensive understanding. Future research should expand study cohorts, diversify sample types, and leverage machine learning and multi-omics approaches to develop predictive models. By doing so, a more comprehensive understanding of protein profiles during the progression from colorectal precancerous to cancerous lesions can be obtained, facilitating early CRC diagnosis and the development of targeted therapeutic interventions.

Indexed as

BiomarkersColorectal adenomasColorectal cancerPrecancerous lesionsProteins

Identifiers

PMID40841878
PMCPMC12372278

What OpenQuestion holds

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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.