ReviewMedComm2025
G Protein-Coupled Receptor Signaling: Implications and Therapeutic Development Advances in Cancers.
Review in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- A Novel piRNA-Mediated Epigenetic Axis: piR-36241 Exacerbates Pulpitis by Silencing the Protective Receptor ADGRG2 in Human Dental Pulp Stem Cells.International endodontic journal · 2026Article
- Whole exome sequencing identifies somatically mutated genes in bladder cancer: A pilot study from Bangladesh.Biochemistry and biophysics reports · 2026Article
- Metabotropic Glutamate Receptor 3 Expression During Liver Disease Progression: Association with Inflammation and Cell Viability in Hepatocellular Carcinoma.International journal of molecular sciences · 2026Article
- Metabolic Myokines and Adipokines in the Follicular Microenvironment: Implications for Oocyte Competence and IVF Outcomes.International journal of molecular sciences · 2026Review
- A Spatiotemporal Model of CXCL10 as a Master Regulator of Immune Evasion and Metastasis in Osteosarcoma.International journal of molecular sciences · 2025Review
- G Protein-Coupled Receptor Signaling: Implications and Therapeutic Development Advances in Cancers.MedComm · 2025Review
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
No grant is acknowledged in the PubMed record.
Abstract
G protein-coupled receptors (GPCRs) are the largest and most diverse class of membrane proteins, mediating cellular responses to a wide range of extracellular stimuli. GPCRs initiate complex intracellular signaling networks that regulate vital physiological functions and are associated with numerous diseases, including various types of cancer. Their conserved seven-transmembrane (7TM) structure enables these signaling networks by allowing interactions with multiple ligands and intracellular effectors. In several types of tumors, abnormal GPCR signaling promotes carcinogenesis by supporting immune evasion, cell proliferation, and therapeutic resistance. A significant research gap exists in fully understanding the molecular mechanisms behind pathway-specific activation and biased ligand discovery of GPCRs, which could lead to the development of more effective therapies. This review examines the complexity of GPCRs, with a focus on their role in signaling through the differential activation of pathways regulated by β-arrestin and G proteins. It discusses how targeted modulation of signaling outcomes by receptor mutants might offer therapeutic benefits in cancer treatment. The review also highlights emerging technologies, such as aptamers, PROTACs, and nanobodies, that more precisely target GPCRs. In addition to exploring receptor structure-function relationships and pathway selectivity, this review provides valuable insights into GPCR-biased signaling and its implications in cancer biology.
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.