ArticleInternational journal of molecular sciences2018
Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.
Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 59 citations in OpenAlex.
- Pathological response and metabolites' prognostic role in HER2-positive breast cancer treated with neoadjuvant pyrotinib, trastuzumab, nab-paclitaxel, and carboplatin: a single-arm phase II trial.Breast cancer research : BCR · 2025Trial
- Urinary metabolomics may improve prediction of overall survival beyond tumor stage in colorectal cancer: results from the ColoCare study.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- UncoveringGut microbes · 2025Article
- Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA [Letter].Nature and science of sleep · 2025Article
- Multi-omics identification of a polyamine metabolism related signature for hepatocellular carcinoma and revealing tumor microenvironment characteristics.Frontiers in immunology · 2025Article
- Predicting the prognosis of hepatocellular carcinoma based on genes related to polyamine metabolism.PeerJ · 2025Article
- Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.Frontiers in oncology · 2025Article
- Stage-Specific Plasma Metabolomic Profiles in Colorectal Cancer.Journal of clinical medicine · 2024Article
- A polyamine metabolism risk signature for predicting the prognosis and immune therapeutic response of kidney cancer.Translational cancer research · 2023Article
- Microbial Metabolite Dysbiosis and Colorectal Cancer.Gut and liver · 2023Review
- Salivary Polyamines Help Detect High-Risk Patients with Pancreatic Cancer: A Prospective Validation Study.International journal of molecular sciences · 2023Article
- Identification of a polyamine-related signature and six novel prognostic biomarkers in oral squamous cell carcinoma.Frontiers in molecular biosciences · 2023Article
- Identification of urinary biomarkers of colorectal cancer: Towards the development of a colorectal screening test in limited resource settings.Cancer biomarkers : section A of Disease markers · 2023Article
- Quantitative Metabolomics to Explore the Role of Plasma Polyamines in Colorectal Cancer.International journal of molecular sciences · 2022Article
- One-Carbon and Polyamine Metabolism as Cancer Therapy Targets.Biomolecules · 2022Review
- Histone deacetylase-10 liberates spermidine to support polyamine homeostasis and tumor cell growth.The Journal of biological chemistry · 2022Article
- Salivary metabolomics with machine learning for colorectal cancer detection.Cancer science · 2022Article
- Salivary Metabolomics for Oral Cancer Detection: A Narrative Review.Metabolites · 2022Review
- Polyamine Metabolites as Biomarkers in Head and Neck Cancer Biofluids.Diagnostics (Basel, Switzerland) · 2022Article
- The Application of Metabolomics in Recent Colorectal Cancer Studies: A State-of-the-Art Review.Cancers · 2022Review
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevalence, which requires imperative development of minimally or non-invasive screening tests. Urinary polyamines have been reported as potential markers to detect CRC, and an accurate pattern recognition to differentiate CRC with early stage cases from healthy controls are needed. Here, we utilized liquid chromatography triple quadrupole mass spectrometry to profile seven kinds of polyamines, such as spermine and spermidine with their acetylated forms. Urinary samples from 201 CRCs and 31 non-CRCs revealed the
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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.