Evidence map›Paper›PMID 35296245›Full record

ArticleBMC genomics2022

Effects of glutamate and aspartate on prostate cancer and breast cancer: a Mendelian randomization study.

Yindan Lin, Ze Yang, Jingjia Li, Yandi Sun, Xueyun Zhang, Zihao Qu, Yan Luo, Lihong Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  11. PlasmaCancer biology & medicine · 2025
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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 1 institution in 1 country.

Yindan Lin *Department of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China.
Ze Yang *Department of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China.
Jingjia Li *Department of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China.
Yandi SunDepartment of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China.
Xueyun ZhangDepartment of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China.
Zihao QuOrthopedic Research Institute of Zhejiang University, Zhejiang, 310058, Hangzhou, China.
Yan LuoDepartment of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China. luoyan2011@zju.edu.cn.
Lihong ZhangDepartment of Biochemistry and Cancer Institute, (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, No. 866 Yuhangtang Road, Xihu District, Zijingang Campus, Zhejiang, 310058, Hangzhou, China. 642052480@zju.edu.cn.
Zhejiang University · CN

Funding

Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
A genome-wide association study for breast cancer in BRCA1 mutation carriersR01CA128978 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2008 to 2012
$4.8M
China National 973 Project 2014CB542003China Natural Sciences Foundation Project 81372179NCI NIH HHS R01 CA128978NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537Zhejiang Provincial SciTech Commission Project 2014C03048-2
6 · The paper itself

Abstract

backgroundRespectively, prostate cancer (PCa) and breast cancer (BC) are the second most and most commonly diagnosed cancer in men and women, and they account for a majority of cancer-related deaths world-wide. Cancer cells typically exhibit much-facilitated growth that necessitates upregulated glycolysis and augmented amino acid metabolism, that of glutamine and aspartate in particular, which is tightly coupled with an increased flux of the tricarboxylic acid (TCA) cycle. Epidemiological studies have exploited metabolomics to explore the etiology and found potentially effective biomarkers for early detection or progression of prostate and breast cancers. However, large randomized controlled trials (RCTs) to establish causal associations between amino acid metabolism and prostate and breast cancers have not been reported.

objectiveUtilizing two-sample Mendelian randomization (MR), we aimed to estimate how genetically predicted glutamate and aspartate levels could impact upon prostate and breast cancers development.

methodsSingle nucleotide polymorphisms (SNPs) as instrumental variables (IVs), associated with the serum levels of glutamate and aspartate were extracted from the publicly available genome-wide association studies (GWASs), which were conducted to associate genetic variations with blood metabolite levels using comprehensive metabolite profiling in 1,960 adults; and the glutamate and aspartate we have chosen were two of 644 metabolites. The summary statistics for the largest and latest GWAS datasets for prostate cancer (61,106 controls and 79,148 cases) were from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium, and datasets for breast cancer (113,789 controls and 133,384 cases) were from Breast Cancer Association Consortium (BCAC). The study was performed through two-sample MR method.

resultsCausal estimates were expressed as odds ratios (OR) and 95% confidence interval (CI) per standard deviation increment in serum level of aspartate or glutamate. Aspartate was positively associated with prostate cancer (Effect = 1.043; 95% confidence interval, 1.003 to 1.084; P = 0.034) and breast cancer (Effect = 1.033; 95% confidence interval, 1.004 to 1.063; P = 0.028); however, glutamate was neither associated with prostate cancer nor with breast cancer. The potential causal associations were robust to the sensitivity analysis.

conclusionsOur study found that the level of serum aspartate could serve as a risk factor that contributed to the development of prostate and breast cancers. Efforts on a detailed description of the underlying biochemical mechanisms would be extremely valuable in early assessment and/or diagnosis, and strategizing clinical intervention, of both cancers.

Indexed as

Breast NeoplasmsProstatic NeoplasmsAdultAspartic AcidGlutamic AcidHumansMaleMendelian Randomization AnalysisAspartic AcidGlutamic AcidAspartateBreast cancerGlutamateMendelian randomizationProstate cancer

Identifiers

PMID35296245
PMCPMC8925075
OpenAlexW4220976240

What OpenQuestion holds

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LicenceCC BY
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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.