Evidence map›Paper›PMID 20466617›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2010

The insulin-like growth factor pathway as a target for cancer therapy.

Iker López-Calderero, Elizabeth Sánchez Chávez, Rocío García-Carbonero

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Cyclodextrin-based targeting strategies for tumor treatment.Drug delivery and translational research · 2013
    Article
  5. Article
  6. Article
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

3 authors at 1 institution in 1 country.

Iker López-CaldereroDepartment of Medical Oncology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS), Sevilla, Spain.
Elizabeth Sánchez Chávez
Rocío García-Carbonero
Consejo Superior de Investigaciones Científicas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The insulin-like growth factor (IGF) system is emerging as a promising new target in cancer therapy. Experimental models and epidemiological studies have demonstrated that the IGF system plays a key role in malignant transformation and cancer progression. Different strategies are being pursued to target this pathway. Several monoclonal antibodies and tyrosine kinase inhibitors targeting the IGF-1 receptor are in clinical development. Early clinical trials indicate these drugs have acceptable safety profiles, and there is pharmacodynamic evidence that actual target inhibition is achievable in patients. Emerging efficacy data as single agent and in combination with chemotherapy is encouraging yet too early for firm conclusions. This manuscript reviews the role of the IGF system in human malignancy and its interactions with other signaling pathways, and summarizes the available data of IGF-1R inhibitors currently in clinical trials.

Indexed as

AnimalsAntineoplastic AgentsClinical Trials as TopicDrug Delivery SystemsHumansModels, BiologicalNeoplasmsProtein Kinase InhibitorsReceptor, IGF Type 1Signal TransductionSomatomedinsAntineoplastic AgentsProtein Kinase InhibitorsReceptor, IGF Type 1Somatomedins

Identifiers

PMID20466617
OpenAlexW2008806010

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.