ReviewFrontiers in molecular biosciences2020
Proteomics of Colorectal Cancer: Tumors, Organoids, and Cell Cultures-A Minireview.
Review in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Review
- Global Proteomic Analysis of Colorectal Cancers Stratified by Microsatellite Instability Subtype Reveals Protein Differences.bioRxiv : the preprint server for biology · 2026Article
- Terminalia ivorensis demonstrates antioxidant properties and alters proliferation, genomic instability, and migration of human colon cancer cells in vitro.Mutagenesis · 2025Article
- Genes and proteins expression profile of 2D vs 3D cancer models: a comparative analysis for better tumor insights.Cytotechnology · 2025Review
- Review
- A novel model based on protein post-translational modifications comprising the immune landscape and prediction of colorectal cancer prognosis.Journal of gastrointestinal oncology · 2024Article
- High-Throughput Mass Spectrometry Analysis ofJournal of proteome research · 2024Article
- Lipidomic Phenotyping Of Human Small Intestinal Organoids Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.Analytical chemistry · 2023Article
- Article
- Proteomic Profiling of Chemotherapy Responses in FOLFOX-Resistant Colorectal Cancer Cells.International journal of molecular sciences · 2023Article
- Metabolomics-based mass spectrometry methods to analyze the chemical content of 3D organoid models.The Analyst · 2022Review
- Bottom-Up Approach to the Discovery of Clinically Relevant Biomarker Genes: The Case of Colorectal Cancer.Cancers · 2022Article
- Down-regulated C4orf19 confers poor prognosis in colon adenocarcinoma identified by gene co-expression network.Journal of Cancer · 2022Article
- Proteomic Characterization of Colorectal Cancer Tissue from Patients Identifies Novel Putative Protein Biomarkers.Current issues in molecular biology · 2021Article
- Proteomics, Personalized Medicine and Cancer.Cancers · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Proteomics, the study of the complete protein composition of a sample, is an important field for cancer research. Changes in the proteome can serve as a biomarker of cancer or lead to the development of a targeted therapy. This minireview will focus on mass spectrometry-based proteomics studies applied specifically to colorectal cancer, particularly the variety of cancer model systems used, including tumor samples, two-dimensional (2D) and three-dimensional (3D) cell cultures such as spheroids and organoids. A thorough discussion of the application of these systems will accompany the review of the literature, as each provides distinct advantages and disadvantages for colorectal cancer research. Finally, we provide conclusions and future perspectives for the application of these model systems to cancer research as a whole.
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What OpenQuestion holds
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.