ArticleWorld journal of gastroenterology2006
Identification of serum proteins discriminating colorectal cancer patients and healthy controls using surface-enhanced laser desorption ionisation-time of flight mass spectrometry.
Article in World journal of gastroenterology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 154 citations in OpenAlex.
- Identification of Differentially Expressed Proteins in the Serum of Colorectal Cancer Patients Using 2D-DIGE Proteomics Analysis.Pathology oncology research : POR · 2016Trial
- Top-Down Proteomics Identifies Plasma Proteoform Signatures of Liver Cirrhosis Progression.Molecular & cellular proteomics : MCP · 2024Article
- Correlation between small-cell lung cancer serum protein/peptides determined by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and chemotherapy efficacy.Clinical proteomics · 2024Article
- Common variation in a long non-coding RNA gene modulates variation of circulating TGF-β2 levels in metastatic colorectal cancer patients (Alliance).BMC genomics · 2024Article
- Lipoproteins and cancer: The role of HDL-C, LDL-C, and cholesterol-lowering drugs.Biochemical pharmacology · 2022Review
- Comprehensive aptamer-based screen of 1317 proteins uncovers improved stool protein markers of colorectal cancer.Journal of gastroenterology · 2021Article
- Apolipoprotein C1 stimulates the malignant process of renal cell carcinoma via the Wnt3a signaling.Cancer cell international · 2021Article
- Identification of several plasma proteins whose levels in colorectal cancer patients differ depending on outcome.FASEB bioAdvances · 2019Article
- Apolipoprotein C1 (APOC1) promotes tumor progression via MAPK signaling pathways in colorectal cancer.Cancer management and research · 2019Article
- Apolipoprotein C1 promotes prostate cancer cell proliferation in vitro.Journal of biochemical and molecular toxicology · 2018Article
- Serum peptidome profiling for the diagnosis of colorectal cancer: discovery and validation in two independent cohorts.Oncotarget · 2017Article
- Decreased serum apolipoprotein A1 levels are associated with poor survival and systemic inflammatory response in colorectal cancer.Scientific reports · 2017Article
- Diagnostic and prognostic role of serum protein peak at 6449 m/z in gastric adenocarcinoma based on mass spectrometry.British journal of cancer · 2016Article
- Article
- Fibrinogen alpha C chain 5.9 kDa fragment (FIC5.9), a biomarker for various pathological conditions, is produced in post-blood collection by fibrinolysis and coagulation factors.Clinical proteomics · 2016Article
- Article
- Near-infrared spectroscopy as a diagnostic tool for distinguishing between normal and malignant colorectal tissues.BioMed research international · 2015Article
- Identification of apolipoprotein C-I as a potential Wilms' tumor marker after excluding inflammatory factors.International journal of molecular sciences · 2014Article
- Colorectal cancer: from prevention to personalized medicine.World journal of gastroenterology · 2014Review
- Use of blood-based biomarkers for early diagnosis and surveillance of colorectal cancer.World journal of gastrointestinal oncology · 2014Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo detect the new serum biomarkers for colorectal cancer (CRC) by serum protein profiling with surface-enhanced laser desorption ionisation--time of flight mass spectrometry (SELDI-TOF MS).
methodsTwo independent serum sample sets were analysed separately with the ProteinChip technology (set A: 40 CRC+49 healthy controls; set B: 37 CRC+31 healthy controls), using chips with a weak cation exchange moiety and buffer pH 5. Discriminative power of differentially expressed proteins was assessed with a classification tree algorithm. Sensitivities and specificities of the generated classification trees were obtained by blindly applying data from set A to the generated trees from set B and vice versa. CRC serum protein profiles were also compared with those from breast, ovarian, prostate, and non-small cell lung cancer.
resultsMass-to-charge ratios (m/z) 3.1x10(3), 3.3x10(3), 4.5x10(3), 6.6x10(3) and 28x10(3) were used as classifiers in the best-performing classification trees. Tree sensitivities and specificities were between 65% and 90%. Most of these discriminative m/z values were also different in the other tumour types investigated. M/z 3.3x10(3), main classifier in most trees, was a doubly charged form of the 6.6x10(3)-Da protein. The latter was identified as apolipoprotein C-I. M/z 3.1x10(3) was identified as an N-terminal fragment of albumin, and m/z 28x10(3) as apolipoprotein A-I.
conclusionSELDI-TOF MS followed by classification tree pattern analysis is a suitable technique for finding new serum markers for CRC. Biomarkers can be identified and reproducibly detected in independent sample sets with high sensitivities and specificities. Although not specific for CRC, these biomarkers have a potential role in disease and treatment monitoring.
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