ArticleBMC cancer2012
Identification of a biomarker panel for colorectal cancer diagnosis.
Article in BMC cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Risk Prediction Models for Colorectal Cancer: A Systematic Review.Cancer prevention research (Philadelphia, Pa.) · 2016Pooled it
- Trial
- Development and validation of a logistic regression model for the diagnosis of colorectal cancer.Scientific reports · 2025Article
- Comprehensive pan-cancer analysis reveals ENC1 as a promising prognostic biomarker for tumor microenvironment and therapeutic responses.Scientific reports · 2024Article
- Kelch-like proteins in the gastrointestinal tumors.Acta pharmacologica Sinica · 2023Review
- Simple Isothermal and Label-Free Strategy for Colorectal Cancer Potential Biomarker miR-625-5p Detection.Biosensors · 2023Article
- ENC1 Facilitates Colorectal Carcinoma Tumorigenesis and Metastasis via JAK2/STAT5/AKT Axis-Mediated Epithelial Mesenchymal Transition and Stemness.Frontiers in cell and developmental biology · 2021Article
- Plasma Lysyl-tRNA Synthetase 1 (KARS1) as a Novel Diagnostic and Monitoring Biomarker for Colorectal Cancer.Journal of clinical medicine · 2020Article
- Diagnostic Value of Combinatorial Markers in Colorectal Carcinoma.Frontiers in oncology · 2020Article
- Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data.Analytical chemistry · 2019Article
- High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer.International journal of molecular sciences · 2019Article
- Clinical biomarkers for cancer recognition and prevention: A novel approach with optical measurements.Cancer biomarkers : section A of Disease markers · 2018Review
- Quantitative proteomic profiling of paired cancerous and normal colon epithelial cells isolated freshly from colorectal cancer patients.Proteomics. Clinical applications · 2017Article
- [A signature based on relative gene expression orderings for lung cancer diagnosis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017Article
- KRAS mutant colorectal cancer gene signatures identified angiotensin II receptor blockers as potential therapies.Oncotarget · 2017Article
- Comparative analysis of copy number variations in ulcerative colitis associated and sporadic colorectal neoplasia.BMC cancer · 2016Article
- Novel Biomarker Candidates for Colorectal Cancer Metastasis: A Meta-analysis of In Vitro Studies.Cancer informatics · 2016Article
- Gene-expression analysis of a colorectal cancer-specific discriminatory transcript set on formalin-fixed, paraffin-embedded (FFPE) tissue samples.Diagnostic pathology · 2015Article
- Large scale systematic proteomic quantification from non-metastatic to metastatic colorectal cancer.Scientific reports · 2015Article
- The prognostic value of the stem-like group in colorectal cancer using a panel of immunohistochemistry markers.Oncotarget · 2015Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalignancies arising in the large bowel cause the second largest number of deaths from cancer in the Western World. Despite progresses made during the last decades, colorectal cancer remains one of the most frequent and deadly neoplasias in the western countries.
methodsA genomic study of human colorectal cancer has been carried out on a total of 31 tumoral samples, corresponding to different stages of the disease, and 33 non-tumoral samples. The study was carried out by hybridisation of the tumour samples against a reference pool of non-tumoral samples using Agilent Human 1A 60-mer oligo microarrays. The results obtained were validated by qRT-PCR. In the subsequent bioinformatics analysis, gene networks by means of Bayesian classifiers, variable selection and bootstrap resampling were built. The consensus among all the induced models produced a hierarchy of dependences and, thus, of variables.
resultsAfter an exhaustive process of pre-processing to ensure data quality--lost values imputation, probes quality, data smoothing and intraclass variability filtering--the final dataset comprised a total of 8, 104 probes. Next, a supervised classification approach and data analysis was carried out to obtain the most relevant genes. Two of them are directly involved in cancer progression and in particular in colorectal cancer. Finally, a supervised classifier was induced to classify new unseen samples.
conclusionsWe have developed a tentative model for the diagnosis of colorectal cancer based on a biomarker panel. Our results indicate that the gene profile described herein can discriminate between non-cancerous and cancerous samples with 94.45% accuracy using different supervised classifiers (AUC values in the range of 0.997 and 0.955).
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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.