ArticleWorld journal of gastroenterology2004
An integrated approach to the detection of colorectal cancer utilizing proteomics and bioinformatics.
Article in World journal of gastroenterology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- An Overview of Advances in Rare Cancer Diagnosis and Treatment.International journal of molecular sciences · 2024Review
- Implementation of MALDI Mass Spectrometry Imaging in Cancer Proteomics Research: Applications and Challenges.Journal of personalized medicine · 2020Review
- Serum peptidome profiling for the diagnosis of colorectal cancer: discovery and validation in two independent cohorts.Oncotarget · 2017Article
- Development of a test to identify bladder cancer in the urine of patients using mass spectroscopy and subcellular localization of the detected proteins.American journal of translational research · 2015Article
- Introducing biomarker panel in esophageal, gastric, and colon cancers; a proteomic approach.Gastroenterology and hepatology from bed to bench · 2015Review
- Differential expression of colon cancer associated transcript1 (CCAT1) along the colonic adenoma-carcinoma sequence.BMC cancer · 2013Article
- Combining proteomics, serum biomarkers and bioinformatics to discriminate between esophageal squamous cell carcinoma and pre-cancerous lesion.Journal of Zhejiang University. Science. B · 2012Article
- Screening for colorectal cancer: established and emerging modalities.Nature reviews. Gastroenterology & hepatology · 2011Review
- Proteomic serum biomarkers and their potential application in cancer screening programs.International journal of molecular sciences · 2010Review
- Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.Journal of experimental & clinical cancer research : CR · 2009Article
- Clinical significance of tumor markers and an emerging perspective on colorectal cancer.Cancer science · 2009Review
- Assessment of serum proteomics to detect large colon adenomas.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008Article
- Detection of Colorectal Cancer by Serum and Tissue Protein Profiling: A Prospective Study in a Population at Risk.Biomarker insights · 2008Article
- Proteomic profiling of urine for the detection of colon cancer.Proteome science · 2008Article
- From the genome to the proteome--biomarkers in colorectal cancer.Langenbeck's archives of surgery · 2008Review
- Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.Journal of chromatography. A · 2007Review
- Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.Annals of surgery · 2007Article
- New multi protein patterns differentiate liver fibrosis stages and hepatocellular carcinoma in chronic hepatitis C serum samples.World journal of gastroenterology · 2006Article
- Human body fluid proteome analysis.Proteomics · 2006Review
- Current status and prospects of clinical proteomics studies on detection of colorectal cancer: hopes and fears.World journal of gastroenterology · 2006Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo find new potential biomarkers and to establish patterns for early detection of colorectal cancer.
methodsOne hundred and eighty-two serum samples including 55 from colorectal cancer (CRC) patients, 35 from colorectal adenoma (CRA) patients and 92 from healthy persons (HP) were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The data of spectra were analyzed by bioinformatics tools like artificial neural network (ANN) and support vector machine (SVM).
resultsThe diagnostic pattern combined with 7 potential biomarkers could differentiate CRC patients from CRA patients with a specificity of 83%, sensitivity of 89% and positive predictive value of 89%. The diagnostic pattern combined with 4 potential biomarkers could differentiate CRC patients from HP with a specificity of 92%, sensitivity of 89% and positive predictive value of 86%.
conclusionThe combination of SELDI with bioinformatics tools could help find new biomarkers and establish patterns with high sensitivity and specificity for the detection of CRC.
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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.