ArticleOncotarget2017
Successful identification of a predictive biomarker for lymph node metastasis in colorectal cancer using a proteomic approach.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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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.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- OmixLitMiner 2: Guided Literature Mining for Automated Categorization of Marker Candidates in Omics Studies.Proteomics · 2025Article
- The value and application of a poorly differentiated cluster-based Ezrin marginal score system in the prognostic assessment of colorectal cancer.Discover oncology · 2025Article
- The prognostic importance of the negative regulators of ferroptosis, GPX4 and HSPB1, in patients with colorectal cancer.Oncology letters · 2025Article
- Lymph Node Metastasis in Gastrointestinal Carcinomas: A View from a Proteomics Perspective.Current oncology (Toronto, Ont.) · 2024Review
- Biomarker Identification through Proteomics in Colorectal Cancer.International journal of molecular sciences · 2024Review
- Tissue proteome analysis for profiling proteins associated with lymph node metastasis in gallbladder cancer.BMC cancer · 2023Article
- Systems-level biomarkers identification and drug repositioning in colorectal cancer.World journal of gastrointestinal oncology · 2021Review
- Proteomics, Personalized Medicine and Cancer.Cancers · 2021Review
- Review
- OmixLitMiner: A Bioinformatics Tool for Prioritizing Biological Leads from 'Omics Data Using Literature Retrieval and Data Mining.International journal of molecular sciences · 2020Article
- Clinical significance and biological role of L1 cell adhesion molecule in gastric cancer.British journal of cancer · 2019Article
- Precision treatment in colorectal cancer: Now and the future.JGH open : an open access journal of gastroenterology and hepatology · 2019Review
- Clinicopathological significance of heterogeneic ezrin expression in poorly differentiated clusters of colorectal cancers.Cancer science · 2019Article
- Biomarkers in Colorectal Cancer: The Role of Translational Proteomics Research.Frontiers in oncology · 2019Review
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC)-associated mortality is primarily caused by lymph node (LN) and distant metastasis, highlighting the need for biomarkers that predict LN metastasis and facilitate better therapeutic strategies. We used an Isobaric Tags for Relative and Absolute Quantification (iTRAQ)-based comparative proteomics approach to identify novel biomarkers for predicting LN metastasis in CRC patients. We analyzed five paired samples of CRC with or without LN metastasis, adjacent normal mucosa, and normal colon mucosa, and differentially expressed proteins were identified and subsequently validated at the protein and/or mRNA levels by immunohistochemistry and qRT-PCR, respectively. We identified 55 proteins specifically associated with LN metastasis, from which we selected ezrin for further analysis and functional assessment. Expression of ezrin at both the protein and mRNA levels was significantly higher in CRC tissues than in adjacent normal colonic mucosa. In univariate analysis, high ezrin expression was significantly associated with tumor progression and poor prognosis, which was consistent with our
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