Evidence map›Paper›PMID 37313408›Full record

ArticleFrontiers in immunology2023

Construction of a fecal immune-related protein-based biomarker panel for colorectal cancer diagnosis: a multicenter study.

Hao Zhang, Lugen Zuo, Jing Li, Zhijun Geng, Sitang Ge, Xue Song, Yueyue Wang, Xiaofeng Zhang, Lian Wang, Tianhao Zhao and 15 more

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
    Review
  6. Article
  7. [Construction of a fecal protein Luminex liquid chip detection system for early diagnosis of colorectal tumors].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    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

25 authors.

Hao ZhangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Lugen ZuoDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Jing LiDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Zhijun GengDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Sitang GeDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Xue SongDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yueyue WangDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Xiaofeng ZhangDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Lian WangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Tianhao ZhaoDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Min DengDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Damin ChaiDepartment of Pathology, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Qiusheng WangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Zi YangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Quanli LiuDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Quanwei QiuDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Xuxu HeDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yiqun YangDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yuanyuan GeDepartment of Colorectal Surgery, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Rong WuDepartment of General Surgery, Zhongda Hospital, Southeast University, Nanjing, China.
Lin ZhengDepartment of Clinical Laboratory, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
Jianjun LiDepartment of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Runkai ChenDepartment of General Surgery, Chinese PLA General Hospital, Beijing, China.
Jialiang SunDepartment of General Surgery, Shanghai Fengxian District Central Hospital, Shanghai, China.
Jianguo HuDepartment of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore fecal immune-related proteins that can be used for colorectal cancer (CRC) diagnosis. Patients and methods: Three independent cohorts were used in present study. In the discovery cohort, which included 14 CRC patients and 6 healthy controls (HCs), label-free proteomics was applied to identify immune-related proteins in stool that could be used for CRC diagnosis. Exploring potential links between gut microbes and immune-related proteins by 16S rRNA sequencing. The abundance of fecal immune-associated proteins was verified by ELISA in two independent validation cohorts and a biomarker panel was constructed that could be used for CRC diagnosis. The validation cohort I included 192 CRC patients and 151 HCs from 6 different hospitals. The validation cohort II included 141 CRC patients, 82 colorectal adenoma (CRA) patients, and 87 HCs from another hospital. Finally, the expression of biomarkers in cancer tissues was verified by immunohistochemistry (IHC). Results: In the discovery study, 436 plausible fecal proteins were identified. And among 67 differential fecal proteins (|log2 fold change| > 1, P< 0.01) that could be used for CRC diagnosis, 16 immune-related proteins with diagnostic value were identified. The 16S rRNA sequencing results showed a positive correlation between immune-related proteins and the abundance of oncogenic bacteria. In the validation cohort I, a biomarker panel consisting of five fecal immune-related proteins (CAT, LTF, MMP9, RBP4, and SERPINA3) was constructed based on the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. The biomarker panel was found to be superior to hemoglobin in the diagnosis of CRC in both validation cohort I and validation cohort II. The IHC result showed that protein expression levels of these five immune-related proteins were significantly higher in CRC tissue than in normal colorectal tissue. Conclusion: A novel biomarker panel consisting of fecal immune-related proteins can be used for the diagnosis of CRC.

Indexed as

Colorectal NeoplasmsBiomarkersEnzyme-Linked Immunosorbent AssayFecesHumansRetinol-Binding Proteins, PlasmaRNA, Ribosomal, 16SBiomarkersRBP4 protein, humanRetinol-Binding Proteins, PlasmaRNA, Ribosomal, 16Scolorectal cancerfecal proteinimmune-related proteinmulticenter studyproteomics

Identifiers

PMID37313408
PMCPMC10258350

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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.