Evidence map›Paper›PMID 19896561›Full record

ReviewAgeing research reviews2011

Will targeting insulin growth factor help us or hurt us?: An oncologist's perspective.

Mitchell Kamrava, David Gius, Giovanna Casagrande, Elise Kohn

Abstract readReview
In one paragraph

Review in Ageing research reviews, 2011. 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
0.3field-weighted citation impact, top 41% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Molecular therapeutics in pancreas cancer.World journal of gastrointestinal oncology · 2016
    Review
  4. Review
  5. Article
  6. Review
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

4 authors at 2 institutions in 1 country.

Mitchell KamravaMolecular Radiation Oncology Section, Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, United States.
David Gius
Giovanna Casagrande
Elise Kohn
National Cancer Institute · USCenter for Cancer Research · US

Funding

Signal Transduction Therapy--Basic ScienceZIASC009163 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KOHN, ELISE C. · 2009 to 2013
$1.4M
Signaling Pathways as Molecular Targets in Angiogenesis and MicroenvironmentZIASC009374 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KOHN, ELISE C. · 2009 to 2013
$1.2M
Intramural NIH HHS ZIA SC009374
6 · The paper itself

Abstract

The insulin/insulin growth factor (IGF) pathway is a critical mediator of longevity and aging. Efforts to extend longevity by altering the insulin/IGF pathway may have varying effects on other physiological processes. Reduced insulin/IGF levels may decrease the incidence of certain cancers as well as the risk of developing metastatic disease. However, it may also increase the risk of developing cardiovascular disease as well as cardiovascular related mortality. Pursuing the right insulin/IGF pathway targets will require striking a balance between inhibiting cancer cell development and progression and avoiding damage to tissues under normal insulin/IGF-mediated control. This review will discuss the roles of the insulin/IGF pathway in aging and longevity and the development of cancer cell metastasis and considerations in taking insulin/IGF directed targets to the oncology clinic.

Indexed as

AgingAnimalsCaenorhabditis elegansCardiovascular DiseasesCell MovementDrosophila melanogasterHumansInsulinInsulin-Like Growth Factor Binding Protein 1MiceNeoplasmsSignal TransductionSomatomedinsInsulinInsulin-Like Growth Factor Binding Protein 1Somatomedins

Identifiers

PMID19896561
PMCPMC2888889
OpenAlexW2019960169

What OpenQuestion holds

Textmetadata
LicenceTDM
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.