ArticleThe Journal of pathology2020
Proteins in stool as biomarkers for non-invasive detection of colorectal adenomas with high risk of progression.
Article in The Journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Systematic Review: The Relationship Between the Faecal Microbiome and Colorectal Neoplasia in Shotgun Metagenomic Studies.Alimentary pharmacology & therapeutics · 2025Pooled it
- A systematic review of microbial markers for risk prediction of colorectal neoplasia.British journal of cancer · 2022Pooled it
- High Accuracy Stool Biomarkers of Precancerous Colorectal Cancer Identified Using a 2000-Plex Immunoproteomic Screen.Molecular & cellular proteomics : MCP · 2026Article
- Unveiling the protein landscape for early detection of colorectal precancerous lesions.Clinical proteomics · 2025Article
- EnterohemorrhagicAIMS microbiology · 2025Article
- Identification of Core SASP-Related Genes TGFBI and ANXA6 for Diagnosing Ulcerative Colitis-Related Colorectal Cancer Through Machine Learning.Journal of inflammation research · 2025Article
- Stool and blood biomarkers for colorectal cancer management: an update on screening and disease monitoring.Molecular cancer · 2024Review
- Article
- Functional proteomics of colon cancer Consensus Molecular Subtypes.British journal of cancer · 2024Article
- Stool Glycoproteomics Signatures of Pre-Cancerous Lesions and Colorectal Cancer.International journal of molecular sciences · 2024Article
- Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024Review
- Review
- Hemoglobin Subunit Theta 1 Promotes Proliferation by Reducing Reactive Oxygen Species in Lung Adenocarcinoma.Cancers · 2023Article
- [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 · 2023Article
- Improved diagnosis of colorectal cancer using combined biomarkers including Fusobacterium nucleatum, fecal occult blood, transferrin, CEA, CA19-9, gender, and age.Cancer medicine · 2023Article
- ANXA6: a key molecular player in cancer progression and drug resistance.Discover oncology · 2023Review
- Potential prognostic and predictive value of UBE2N, IMPDH1, DYNC1LI1 and HRASLS2 in colorectal cancer stool specimens.Biomedical reports · 2023Article
- Current and future applications of biomarkers in samples collected through minimally invasive methods for cancer medicine and population-based research.American journal of human biology : the official journal of the Human Biology Council · 2022Review
- Interplay of retinol binding protein 4 with obesity and associated chronic alterations (Review).Molecular medicine reports · 2022Review
- The future of early cancer detection.Nature medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 4 institutions in 1 country.
Funding
Abstract
Screening to detect colorectal cancer (CRC) in an early or premalignant state is an effective method to reduce CRC mortality rates. Current stool-based screening tests, e.g. fecal immunochemical test (FIT), have a suboptimal sensitivity for colorectal adenomas and difficulty distinguishing adenomas at high risk of progressing to cancer from those at lower risk. We aimed to identify stool protein biomarker panels that can be used for the early detection of high-risk adenomas and CRC. Proteomics data (LC-MS/MS) were collected on stool samples from adenoma (n = 71) and CRC patients (n = 81) as well as controls (n = 129). Colorectal adenoma tissue samples were characterized by low-coverage whole-genome sequencing to determine their risk of progression based on specific DNA copy number changes. Proteomics data were used for logistic regression modeling to establish protein biomarker panels. In total, 15 of the adenomas (15.8%) were defined as high risk of progressing to cancer. A protein panel, consisting of haptoglobin (Hp), LAMP1, SYNE2, and ANXA6, was identified for the detection of high-risk adenomas (sensitivity of 53% at specificity of 95%). Two panels, one consisting of Hp and LRG1 and one of Hp, LRG1, RBP4, and FN1, were identified for high-risk adenomas and CRCs detection (sensitivity of 66% and 62%, respectively, at specificity of 95%). Validation of Hp as a biomarker for high-risk adenomas and CRCs was performed using an antibody-based assay in FIT samples from a subset of individuals from the discovery series (n = 158) and an independent validation series (n = 795). Hp protein was significantly more abundant in high-risk adenoma FIT samples compared to controls in the discovery (p = 0.036) and the validation series (p = 9e-5). We conclude that Hp, LAMP1, SYNE2, LRG1, RBP4, FN1, and ANXA6 may be of value as stool biomarkers for early detection of high-risk adenomas and CRCs. © 2019 Authors. Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.