Evidence map›Paper›PMID 21193867›Full record

ReviewNature reviews. Drug discovery2011

G protein-coupled receptors: novel targets for drug discovery in cancer.

Rosamaria Lappano, Marcello Maggiolini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 368 papers.

0numbers the graph read from it
0cells of the map it votes in
368citing papers in PubMed
21.4field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

368 citing papers in PubMed, 713 citations in OpenAlex.

  1. Trial
  2. Review
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  9. Directed migration of cancer cells: a systems biophysics perspective.Frontiers in cell and developmental biology · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Theranostic Potential of a NewPharmaceutics · 2025
    Article
  17. The Role and Mechanisms of G protein-coupled receptors in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  18. Small-Molecule Drugs in Pediatric Neuro-Oncology.Current oncology (Toronto, Ont.) · 2025
    Review
  19. Review
  20. Discovery ofActa pharmaceutica Sinica. B · 2025
    Article

308 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Rosamaria LappanoDepartment of Pharmaco-Biology, University of Calabria, 87030 Rende, Cosenza, Italy.
Marcello Maggiolini
University of Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) belong to a superfamily of cell surface signalling proteins that have a pivotal role in many physiological functions and in multiple diseases, including the development of cancer and cancer metastasis. Current drugs that target GPCRs - many of which have excellent therapeutic benefits - are directed towards only a few GPCR members. Therefore, huge efforts are currently underway to develop new GPCR-based drugs, particularly for cancer. We review recent findings that present unexpected opportunities to interfere with major tumorigenic signals by manipulating GPCR-mediated pathways. We also discuss current data regarding novel GPCR targets that may provide promising opportunities for drug discovery in cancer prevention and treatment.

Indexed as

AnimalsAntineoplastic AgentsDrug Delivery SystemsDrug DesignDrug DiscoveryHumansNeoplasm MetastasisNeoplasmsReceptors, G-Protein-CoupledAntineoplastic AgentsReceptors, G-Protein-Coupled

Identifiers

PMID21193867
OpenAlexW2077399441

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.