ReviewInternational journal of molecular sciences2015
Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach.
Review in International journal of molecular sciences, 2015. 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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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
25 citing papers in PubMed.
- Circulating DNA Demonstrates Convergent Evolution and Common Resistance Mechanisms during Treatment of Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Trial
- The Galectin Family in Colorectal Cancer: Integrating Molecular Mechanisms with Diagnostic, Prognostic, and Therapeutic Perspectives.Biomedicines · 2026Review
- Bayesian unsupervised clustering identifies clinically relevant osteosarcoma subtypes.Briefings in bioinformatics · 2024Article
- Recent Insights into Nanotechnology in Colorectal Cancer.Applied biochemistry and biotechnology · 2024Review
- Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis.Chinese medicine · 2021Article
- Prognostic value of BRAF/MIR-17 signature and B-Raf protein expression in patients with colorectal cancer: A pilot study.Journal of clinical laboratory analysis · 2021Article
- Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer.Journal of personalized medicine · 2020Article
- Cabozantinib induces PUMA-dependent apoptosis in colon cancer cells via AKT/GSK-3β/NF-κB signaling pathway.Cancer gene therapy · 2020Article
- Personalized medicine in colorectal cancer.Gastroenterology and hepatology from bed to bench · 2020Review
- Results after 10 years of colorectal cancer screenings in Spain: Hospital incidence and in-hospital mortality (2011-2016).PloS one · 2020Article
- A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.BMC bioinformatics · 2019Article
- Effects of metformin and phenformin on apoptosis and epithelial-mesenchymal transition in chemoresistant rectal cancer.Cancer science · 2019Article
- Integrative analysis from multi-centre studies identifies a function-derived personalized multi-gene signature of outcome in colorectal cancer.Journal of cellular and molecular medicine · 2019Article
- Colorectal Cancer Biomarkers in the Era of Personalized Medicine.Journal of personalized medicine · 2019Review
- Identification of modules and functional analysis in CRC subtypes by integrated bioinformatics analysis.PloS one · 2019Article
- High c-Myb Expression Associates with Good Prognosis in Colorectal Carcinoma.Journal of Cancer · 2019Article
- A Bayesian approach to determine the composition of heterogeneous cancer tissue.BMC bioinformatics · 2018Article
- Glioblastoma and acute myeloid leukemia: malignancies with striking similarities.Journal of neuro-oncology · 2018Review
- Meta-analysis of the mutational status of circulation tumor cells and paired primary tumor tissues from colorectal cancer patients.Oncotarget · 2017Article
- Visualization of tumor heterogeneity by in situ padlock probe technology in colorectal cancer.Histochemistry and cell biology · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer is a heterogeneous disease that manifests through diverse clinical scenarios. During many years, our knowledge about the variability of colorectal tumors was limited to the histopathological analysis from which generic classifications associated with different clinical expectations are derived. However, currently we are beginning to understand that under the intense pathological and clinical variability of these tumors there underlies strong genetic and biological heterogeneity. Thus, with the increasing available information of inter-tumor and intra-tumor heterogeneity, the classical pathological approach is being displaced in favor of novel molecular classifications. In the present article, we summarize the most relevant proposals of molecular classifications obtained from the analysis of colorectal tumors using powerful high throughput techniques and devices. We also discuss the role that cancer systems biology may play in the integration and interpretation of the high amount of data generated and the challenges to be addressed in the future development of precision oncology. In addition, we review the current state of implementation of these novel tools in the pathological laboratory and in clinical practice.
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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.