Evidence map›Paper›PMID 29169312›Full record

ReviewMolecular imaging

Molecular Imaging of IGF-1R in Cancer.

Yingying Sun, Xilin Sun, Baozhong Shen

Open access · goldAbstract readReview
In one paragraph

Review in Molecular imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Structural Models for a Series of Allosteric Inhibitors of IGF1R Kinase.International journal of molecular sciences · 2024
    Article
  6. Structural Models for a Series of Allosteric Inhibitors of IGF1R Kinase.bioRxiv : the preprint server for biology · 2024
    Article
  7. Review
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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 2 institutions in 2 countries.

Yingying Sun1 Molecular Imaging Research Center, Harbin Medical University, Harbin, Heilongjiang, China.
Xilin Sun1 Molecular Imaging Research Center, Harbin Medical University, Harbin, Heilongjiang, China.
Baozhong Shen1 Molecular Imaging Research Center, Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The important role of insulin-like growth factor 1 receptor (IGF-1R) in malignant tumors has been well established. Increased IGF-1R activity promotes cancer cell proliferation, migration, and invasion and is associated with tumor metastasis, treatment resistance, poor prognosis, and shortened survival in patients with cancer. However, while IGF-1R has become a promising target for cancer therapy, IGF-1R-targeted therapy is ineffective in unselected patients. It is therefore essential to evaluate IGF-1R expression before treatment in order to identify responsive patients, monitor therapy efficacy, and estimate prognosis. Insulin-like growth factor 1 receptor molecular imaging is an optimal method for assessing the expression of IGF-1R in vivo accurately and noninvasively. In this review, we will summarize the current status of IGF-1R molecular imaging in cancer, in which 5 major classes of ligands that have been developed for noninvasive IGF-1R molecular imaging will be discussed: natural ligands, monoclonal antibodies, antibody fragments, affibodies, and small molecules. For decades, IGF-1R molecular imaging is studied in full swing and more effort is needed in the future.

Indexed as

AnimalsAntineoplastic AgentsClinical Trials as TopicGene Expression Regulation, NeoplasticHumansMolecular ImagingMolecular Targeted TherapyNeoplasmsPrecision MedicinePrognosisReceptor, IGF Type 1Receptors, SomatomedinTreatment OutcomeAntineoplastic AgentsIGF1R protein, humanReceptor, IGF Type 1Receptors, SomatomedincancerIGF-1Rmolecular imagingtarget

Identifiers

PMID29169312
PMCPMC5703088
OpenAlexW2769635470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.