ReviewJournal of Cancer2021
The Regulatory Network of MicroRNA in the Metabolism of Colorectal Cancer.
Review in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 10 citations in OpenAlex.
- miR-143-5p as a Prognostic Biomarker in Colorectal Cancer: Inhibition of Tumor Progression Through Targeting MYCBP.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026Article
- Gut Microbiota-Non-Coding RNA Axis in Immune Modulation and Disease: From Mechanisms to Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Linking microRNA to metabolic reprogramming and gut microbiota in the pathogenesis of colorectal cancer (Review).International journal of molecular medicine · 2025Review
- Non-coding RNAs: emerging biomarkers and therapeutic targets in cancer and inflammatory diseases.Frontiers in oncology · 2025Review
- Inhibition of USP22 by miR-200b-5p represses gastric cancer cell proliferation and migration by targeting the NF-κB signaling pathway.Acta biochimica et biophysica Sinica · 2024Article
- Advances in microRNAs as Emerging Biomarkers for Colorectal Cancer Early Detection and Diagnosis.International journal of molecular sciences · 2024Review
- Gut microbiome: decision-makers in the microenvironment of colorectal cancer.Frontiers in cellular and infection microbiology · 2023Review
- Emerging role of non-coding RNAs in glucose metabolic reprogramming and chemoresistance in colorectal cancer.Frontiers in oncology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the third most common malignant tumor in the world. During the progression of CRC, the entire metabolic network undergoes reprogramming, including marked changes in the regulation of glucose, lipid and amino acid metabolism. Although microRNAs (miRNAs) account for only 1% of the entire human genome, they play an important role in almost all physiological and pathological processes in the body. MiRNAs can react directly with key enzymes in the metabolic processes. MiRNAs also interact with other ncRNAs, as a member of non-coding RNA (ncRNA), to form their own regulatory network in various oncogenic pathways of CRC metabolism. The progression of colorectal cancer is closely related to the intestinal flora, where miRNAs act as important mediators. Understanding how miRNAs act in the regulatory network of CRC metabolism is helpful to elucidate the characteristics of tumor occurrence, proliferation, metastasis and drug resistance. This review summarizes the role of miRNAs in the metabolism of CRC and how miRNAs interact with key enzymes, ncRNA and intestinal flora to further discuss how miRNAs affect CRC and realize some new strategies for the early diagnosis and treatment of CRC.
Indexed as
Identifiers
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.