ReviewMolecular and clinical oncology2021
General insight into cancer: An overview of colorectal cancer (Review).
Review in Molecular and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 3 of them syntheses that pooled it.
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
112 citing papers in PubMed, 3 syntheses or guidelines pooled it, 193 citations in OpenAlex.
- Global prevalence of Fusobacterium nucleatum and Bacteroides fragilis in patients with colorectal cancer: an overview of case reports/case series and meta-analysis of prevalence studies.BMC gastroenterology · 2025Pooled it
- The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review.Frontiers in artificial intelligence · 2025Pooled it
- Colorectal cancer patients' outcome in correlation with dietary and nutritional status: a systematic review.Annals of medicine · 2023Pooled it
- Comparison of Renal Tubular Damage with Kidney Injury Molecule-1 in Open and Laparoscopic Colorectal Cancer Surgery.Medicina (Kaunas, Lithuania) · 2024Trial
- Evaluation of β-catenin Expression by Immunohistochemistry in Colorectal Adenoma and Carcinoma and its Correlation with Pathological Prognostic Factors.Iranian journal of pathology · 2026Article
- Glycoconjugate strategy for GLUT-driven curcumin delivery and anticancer activity in breast cancer cells.Scientific reports · 2026Article
- From 2D to 3D Colorectal Cancer Patient-Derived Organoids (PDOs) and In Vivo Models: Copper(II) Complexes as Promising New Antitumor Agents.Journal of medicinal chemistry · 2026Article
- Hybrid Decision-Level Fusion of CNN-Based Deep and Handcrafted Features for Colon Cancer Classification.Journal of imaging · 2026Article
- Ungeremine suppresses colon cancer cell proliferation through inhibition of the PI3K/AKT/mTOR signaling pathway.Applied biochemistry and biotechnology · 2026Article
- The Red AlgaCurrent issues in molecular biology · 2026Article
- Mushrooms as potent autophagy modulators in cancer therapy: Current evidence and therapeutic prospects.Cancer pathogenesis and therapy · 2026Review
- Exploring associations between epidemiological risk factors and colorectal cancer in Oman: a case-control study.BMJ open · 2026Article
- Nanoparticles: An Emerging Hope in Cancer Therapy.Nanomaterials (Basel, Switzerland) · 2026Review
- Functional role of small extrachromosomal circular DNA in colorectal cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Deletion of Core 1 β3GalT-specific molecular chaperone (Cosmc) in murine intestinal epithelia leads to major alterations in glycocalyx and tumorigenesis.The Journal of biological chemistry · 2026Article
- Expression Analysis of miRNA Profiles in Colorectal Cancer with a Bioinformatics Approach: An Emphasis on miR-4295, miR-4720-5p, miR-4773, and miR-6831-5p.Diagnostics (Basel, Switzerland) · 2026Article
- Expression Profiles and Biomarker Potential of Long Non-Coding RNAs H19, NEAT1, MALAT1 and HOTAIR in Locally Advanced Rectal Cancer Patients.International journal of molecular sciences · 2026Article
- Machine learning framework for mRNA alternative splicing analysis identifies a signature of progression in colorectal adenocarcinoma.Scientific reports · 2026Article
- Targeting cell cycle and apoptotic pathways with newly synthesized diselenide-linked imidazolone analogues with strong CDK6-targeting potential.RSC advances · 2026Article
- MRI-based habitat, intra-, and peritumoral machine learning model for perineural invasion prediction in rectal cancer.Abdominal radiology (New York) · 2026Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is currently among the leading causes of mortality globally. Colorectal cancer (CRC) ranks second among the most common types of cancer in terms of mortality worldwide. This type of cancer arises from mutations in the colonic and rectal epithelial tissues that target oncogenes, tumor suppressor genes and genes related to DNA repair mechanisms. The aim of the present review was to provide an explanation of CRC classification, which is carried out according to the histological subtype, location and molecular pathways implicated in its development. The pathogenic mechanisms implicated in CRC may involve one of three different molecular pathways: Chromosomal instability, microsatellite instability and cytosine preceding guanine island methylator phenotype. In addition, a variety of mutated genes associated with CRC, which affect certain signaling pathways, including DNA mismatch repair, cell cycle checkpoints and apoptotic pathways, were discussed. Moreover, a brief description of the risk factors and the symptoms associated with CRC was also provided. Finally, the treatment approaches to CRC were outlined.
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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.