Evidence map›Paper›PMID 34804946›Full record

ArticleFrontiers in oncology2021

Pan-Cancer Analysis of IGF-1 and IGF-1R as Potential Prognostic Biomarkers and Immunotherapy Targets.

Yinqi Zhang, Chengqi Gao, Fei Cao, Ying Wu, Shuanggang Chen, Xue Han, Jingqin Mo, Zhiyu Qiu, Weijun Fan, Penghui Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 29 citations in OpenAlex.

  1. Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. Aging and cancer: current understandings and future perspectives.Signal transduction and targeted therapy · 2026
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  13. Structural Models for a Series of Allosteric Inhibitors of IGF1R Kinase.International journal of molecular sciences · 2024
    Article
  14. Structural Models for a Series of Allosteric Inhibitors of IGF1R Kinase.bioRxiv : the preprint server for biology · 2024
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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

11 authors at 3 institutions in 1 country.

Yinqi ZhangZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Chengqi GaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
Fei CaoDepartment of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Ying WuDepartment of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Shuanggang ChenDepartment of Oncology, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, China.
Xue HanDepartment of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jingqin MoZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Zhiyu QiuDepartment of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Weijun FanDepartment of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Penghui ZhouState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
Lujun ShenDepartment of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNYue Bei People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimInsulin-like growth factor-1 receptor (IGF-1R) is one of the main members of the tyrosine protein kinase receptor family. This receptor binds insulin-like growth factor-1 (IGF-1) with a high affinity. IGF-1 is a member of a family of proteins involved in mediating growth and development. However, the correlations of IGF-1 and IGF-1R to prognosis and tumor-infiltrating lymphocytes in different cancers remain unclear.

methodThis research comprehensively analyzed the expression pattern of IGF-1 and IGF-1R and the influence of IGF-1 and IGF-1R on clinical significance in prognosis prediction among 33 types of malignancies using The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE) databases. The correlation between IGF-1, IGF-1R, and cancer immunity was explored.

resultsIGF-1 and IGF-1R displayed inconsistent gene expression levels among diverse cancer cell lines. Typically, high expression level of IGF-1 and IGF-1R was detected in most malignant tumors. High expression of IGF-1 was closely bound up with the unfavorable overall survival (OS) for patients in BLCA, CHOL, and LAML upon Cox and Kaplan-Meier analyses. While high expression of IGF-1R was closely bound up with the unfavorable overall survival (OS) for patients in BLCA, LIHC, and LUAD. Furthermore, high expression level of IGF-1 and IGF-1R were closely connected with high degrees of tumor infiltrates, including CD4+ T cell, dendritic cells, and macrophages. In addition, we found that IGF-1 was commonly positively correlated with the expression of gene markers including LAIR1, ICOS, CD40LG, CTLA4, CD48, CD28, CD200R1, HAVCR2, and CD86. Whereas, IGF-1R was commonly positively correlated with the expression of gene markers including NRP1 and CD276. More importantly, IGF-1 and IGF-1R expression were correlated with tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), and DNA methyltransferase (DNMT) of different types of cancers.

conclusionsThe impact of high IGF-1 and IGF-1R on prognosis and immune infiltrates differs across cancer types. Anti-IGF-1R therapy may inhibit tumor growth and contribute to immunotherapy in LIHC and KIRC.

Indexed as

IGF-1IGF-1Rimmunitypan-cancerprognostic biomarker

Identifiers

PMID34804946
PMCPMC8602838
OpenAlexW3213894810

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Registered trials

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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.