ReviewMolecular biomedicine2026
Tumor cell cycle regulation: integrated perspective of stage characteristics, regulatory networks, and signaling pathway intervention strategies.
Review in Molecular biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Mechanistic investigation of UV-irradiated neem oil against microbial biofilms and A431 skin cancer cells via Bax/Bcl2/caspase-3 modulation.Bioresources and bioprocessing · 2026Article
- Review
- Viral rewiring of DDR signaling activates a pro-survival network that drives chemotherapy resistance.bioRxiv : the preprint server for biology · 2026Article
- Chicken lncRNA-9802 Induces the S Phase Arrest in the T Lymphocyte Cells Infected by Marek's Disease Virus via the TP53BP1/p53/p21 Pathway.Veterinary sciences · 2026Article
- Identification and experimental validation of prognostic genes associated with dietary restriction-related signatures in bladder cancer.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Dysregulation of the cell cycle is one of the fundamental mechanisms underlying tumorigenesis, making cell cycle-related regulators potential antitumor therapeutic targets. Despite significant advances in understanding cell cycle regulatory networks, there is still a lack of a comprehensive and up-to-date synthesis that integrates the latest mechanistic insights with their translational potential in oncology. This review first systematically outlines the pivotal role of the cyclin-cyclin-dependent kinase (CDK)-cyclin-dependent kinase inhibitor (CKI) axis in driving aberrant cell cycle progression in tumors. Then the complex regulatory mechanisms of the tumor cell cycle were explored from various perspectives, including transcriptional control, post-translational modifications, checkpoint mechanisms, crosstalk with cellular processes, and integration with key signaling pathways. Furthermore, we highlight a series of clinically relevant biomarkers tightly linked to cell cycle dysregulation. Focusing on approved therapeutic agents and natural compounds in clinical trials, current treatment approaches that target the cell cycle and related metabolic pathways were also comprehensively assessed, and their prospects in precision oncology were elaborated. Finally, we discuss persistent challenges, including the incomplete understanding of tumor-specific cell cycle networks and the barriers to the clinical translation of targeted therapies. We advocate for future research to leverage multi-omics integration and systems biology approaches to facilitate more precise and effective cell cycle-directed interventions. This work offers a comprehensive framework that connects the fundamental mechanisms of cell cycle dysregulation in tumors with clinical translation, aiming to accelerate biomarker discovery and the development of next-generation precision oncology strategies.
Indexed as
Identifiers
What Socratic 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 Socratic graph.