Evidence map›Paper›PMID 35399718›Full record

ArticleJournal of Cancer2022

An insulin growth factor-I/II-neutralizing monoclonal antibody in combination with epidermal growth factor receptor inhibitors potently inhibits tumor cell growth.

Guofang Ma, Chengyue Tan, Yaming Shan, Ningyi Shao, Feng Wang, Dimiter S Dimitrov, Liping Wang, Qi Zhao

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Guofang MaKey Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences; Jilin University, Changchun, Jilin, China.
Chengyue TanCancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
Yaming ShanKey Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences; Jilin University, Changchun, Jilin, China.
Ningyi ShaoCancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
Feng WangKey Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, China.
Dimiter S DimitrovDepartment of Medicine, Center for Antibody Therapeutics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Liping WangKey Laboratory for Molecular Enzymology and Engineering, Ministry of Education, School of Life Sciences; Jilin University, Changchun, Jilin, China.
Qi ZhaoCancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
University of Macau · MOBeijing Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The insulin-like growth factors (IGFs), IGF-1 and IGF-II, which bind to the IGF receptor type 1 (IGF-1R) and the insulin receptor (IR), have been implicated in the growth, survival, and metastasis of tumor cells. We have previously identified a novel human monoclonal antibody (mAb), m708.5, which neutralizes both human IGF-I and IGF-II, and potently inhibits phosphorylation of the IGF-1R and the IR in breast cancer cells. In this study, m708.5 exhibited very strong synergy with the epidermal growth factor receptor (EGFR) inhibitor gefitinib, and synergy with chemotherapeutic agents

Indexed as

EGFRgefitinibIGF-IIGF-IIm708.5monoclonal antibody

Identifiers

PMID35399718
PMCPMC8990425
OpenAlexW4226019565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.