Evidence map›Paper›PMID 18188667›Full record

SynthesisJournal of human genetics2008

IGF-I (CA) repeat polymorphisms and risk of cancer: a meta-analysis.

Xin Chen, Jianming Guan, Yuting Song, Peilin Chen, Hongxia Zheng, Cheng Tang, Qihan Wu

Open access · bronzeAbstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  6. IGF-I CA19 repeat polymorphisms and cancer risk: a meta-analysis.International journal of clinical and experimental medicine · 2015
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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

7 authors at 3 institutions in 1 country.

Xin ChenLaboratory of Gene Function, School of Life Science, East China Normal University, 200062, Shanghai, People's Republic of China.
Jianming GuanDepartment of Urology, Shanghai Minghang District Central Hospital, Shanghai, People's Republic of China.
Yuting SongSchool of Life Science, Fudan University, Shanghai, People's Republic of China.
Peilin ChenLaboratory of Gene Function, School of Life Science, East China Normal University, 200062, Shanghai, People's Republic of China.
Hongxia ZhengLaboratory of Gene Function, School of Life Science, East China Normal University, 200062, Shanghai, People's Republic of China.
Cheng TangLaboratory of Gene Function, School of Life Science, East China Normal University, 200062, Shanghai, People's Republic of China.
Qihan WuLaboratory of Gene Function, School of Life Science, East China Normal University, 200062, Shanghai, People's Republic of China. qhwu@bio.ecnu.edu.cn.
East China Normal University · CNFudan University · CNMinhang District Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factor-I modulates cell growth and survival, and is thought to be important in tumor development. A (CA)19 repeat polymorphism in the promoter region of IGF-I gene that may affect transcription activity has been implicated as a risk factor for cancer, but individual studies have been inconclusive or controversial. Therefore, we performed a meta-analysis of 17 studies with IGF-I (CA)19 repeat genotyping on 8,799 patients and 13,901 controls. There were seven studies with prostate cancer (2,307 cases; 2,622 controls), seven studies with breast cancer (3,533 cases; 7,771 controls), and three studies with colorectal cancer (2,959 cases; 3,508 controls). Overall, the random effects odds ratio (OR) for the (CA)19 versus non-(CA)19 allele was 1.03 [95% confidence interval (CI), 0.95-1.11], with some between-study heterogeneity (P < 0.0001). There was no suggestion of an overall effect either in recessive or dominant modeling of (CA)19 allele effects, and the comparison of (CA)19 homozygosity versus non-(CA)19 homozygosity also showed no differential susceptibility to cancer (OR, 0.99; 95% CI, 0.84-1.16). No effect of (CA)19 was seen in subjects of breast cancer (seven comparisons, OR = 1.03; 95% CI, 0.90-1.17, P = 0.005 for heterogeneity), prostate cancer (seven comparisons, OR = 1.08; 95% CI, 0.88-1.27; P = 0.0002 for heterogeneity) and colorectal cancer (three comparisons, OR = 0.96; 95% CI, 0.89-1.03, P = 0.36, no significant between-study heterogeneity). There was also no evidence that the (CA)19 allele associated with the risk of cancer in Caucasians and Asians. The meta-analysis shows that this (CA)19 repeat polymorphism is unlikely to be a major determinant of susceptibility to cancer on a wide population basis. However, a larger single study is required to further evaluate the association IGF-I (CA)19 polymorphisms and the cancer risk in a specific population.

Indexed as

Polymorphism, GeneticBreast NeoplasmsColorectal NeoplasmsDNAFemaleGenotypeHumansInsulin-Like Growth Factor IMaleNeoplasmsProstatic NeoplasmsRepetitive Sequences, Nucleic AcidDNAInsulin-Like Growth Factor I

Identifiers

PMID18188667
OpenAlexW2035275470

What OpenQuestion holds

Textmetadata
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.