Evidence map›Paper›PMID 32593402›Full record

ReviewAdvances in cancer research2020

Advances in insulin-like growth factor biology and -directed cancer therapeutics.

Lynsey M Fettig, Douglas Yee

Open access · greenAbstract readReview
In one paragraph

Review in Advances in cancer research, 2020. 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
12.3field-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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  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

2 authors at 1 institution in 1 country.

Lynsey M FettigMasonic Cancer Center, University of Minnesota, Minneapolis, MN, United States.
Douglas YeeMasonic Cancer Center, University of Minnesota, Minneapolis, MN, United States. Electronic address: yeexx006@umn.edu.
University of Minnesota Medical Center · US

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
TRAINING GRANT IN MICROBIOLOGY/CANCER RESEARCHT32CA009138 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Scott M. Dehm · 1985 to 2026
$11.3M
Disrupting insulin receptor function in breast cancerR01CA251600 · NCI · UNIVERSITY OF MINNESOTA · PI YEE, DOUGLAS · 2020 to 2024
$1.7M
NCI NIH HHS P30 CA077598NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA251600NCI NIH HHS T32 CA009138
6 · The paper itself

Abstract

The insulin and insulin-like growth factor (IGF) family of proteins are part of a complex network that regulates cell proliferation and survival. While this system is undoubtedly important in prenatal development and postnatal cell growth, members of this family have been implicated in several different cancer types. Increased circulating insulin and IGF ligands have been linked to increased risk of cancer incidence. This observation has led to targeting the IGF system as a therapeutic strategy in a number of cancers. This chapter aims to describe the well-characterized biology of the IGF1R system, outline the rationale for targeting this system in cancer, summarize the clinical data as it stands, and discuss where we can go from here.

Indexed as

AnimalsHumansInsulin-Like Growth Factor IMolecular Targeted TherapyNeoplasmsReceptor, IGF Type 1Signal TransductionInsulin-Like Growth Factor IReceptor, IGF Type 1CancerIGFIGFBPInsulin-like growth factor receptorInsulin receptor

Identifiers

PMID32593402
PMCPMC8098117
OpenAlexW3034485290

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.