Evidence map›Paper›PMID 33122083›Full record

ArticleGene2021

Validation of prostate cancer risk variants rs10993994 and rs7098889 by CRISPR/Cas9 mediated genome editing.

Xing Wang, James E Hayes, Xing Xu, Xiaoni Gao, Dipti Mehta, Hans G Lilja, Robert J Klein

Open access · greenAbstract read
In one paragraph

Article in Gene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 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

7 authors at 3 institutions in 3 countries.

Xing WangDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
James E HayesDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States; Graduate School of Biomedical Sciences, Weill Cornell Medical College, New York, NY, United States.
Xing XuProgram in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States; Graduate School of Biomedical Sciences, Weill Cornell Medical College, New York, NY, United States.
Xiaoni GaoDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States.
Dipti MehtaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Hans G LiljaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Departments of Laboratory Medicine and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK and Department of Translational Medicine, Lund University, Malmö, Sweden.
Robert J KleinDepartment of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Program in Cancer Biology and Genetics and Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, United States. Electronic address: robert.klein@mssm.edu.
Icahn School of Medicine at Mount Sinai · USMemorial Sloan Kettering Cancer Center · USCornell University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
Improving prostate cancer screening by integration of SNPs with blood biomarkersR01CA175491 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KLEIN, ROBERT J. · 2013 to 2018
$2.8M
Linking disease-associated variants to transcriptional regulation using ENCODEU01HG007033 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI KLEIN, ROBERT J. · 2012 to 2015
$1.9M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629NCI NIH HHS R01 CA175491NHGRI NIH HHS U01 HG007033
6 · The paper itself

Abstract

GWAS have identified numerous SNPs associated with prostate cancer risk. One such SNP is rs10993994. It is located in the β-microseminoprotein (MSMB) promoter region, mediates MSMB prostate secretion levels, and is linked to mRNA expression changes in both MSMB and the adjacent gene NCOA4. In addition, our previous work showed a second SNP, rs7098889, is in positive linkage disequilibrium with rs10993994 and associated with MSMB expression independent of rs10993994. Here, we generate a series of clones with single alleles removed by double guide RNA (gRNA) mediated CRISPR/Cas9 deletions, through which we demonstrate that each of these SNPs independently and greatly alters MSMB expression in an allele-specific manner. We further show that these SNPs have no substantial effect on the expression of NCOA4. These data demonstrate that a single SNP can have a large effect on gene expression and illustrate the importance of functional validation studies to deconvolute observed correlations. The method we have developed is generally applicable to test any SNP for which a relevant heterozygous cell line is available. AUTHOR SUMMARY: In pursuing the underlying biological mechanism of prostate cancer pathogenesis, scientists utilized the existence of common single nucleotide polymorphisms (SNPs) in the human genome as genetic markers to perform large scale genome wide association studies (GWAS) and have so far identified more than a hundred prostate cancer risk variants. Such variants provide an unbiased and systematic new venue to study the disease mechanism, and the next big challenge is to translate these genetic associations to the causal role of altered gene function in oncogenesis. The majority of these variants are waiting to be studied and lots of them may act in oncogenesis through gene expression regulation. To prove the concept, we took rs10993994 and its linked rs7098889 as an example and engineered single cell clones by allelic-specific CRISPR/Cas9 deletion to separate the effect of each allele. We observed that a single nucleotide difference would lead to surprisingly high level of MSMB gene expression change in a gene specific and cell-type specific manner. Our study strongly supports the notion that differential level of gene expression caused by risk variants and their associated genetic locus play a major role in oncogenesis and also highlights the importance of studying the function of MSMB encoded β-MSP in prostate cancer pathogenesis.

Indexed as

Genome-Wide Association StudyCRISPR-Cas SystemsGene DeletionGene EditingGenetic Predisposition to DiseaseHistone CodeHumansLinkage DisequilibriumMaleNuclear Receptor CoactivatorsPolymorphism, Single NucleotidePromoter Regions, GeneticProstatic NeoplasmsProstatic Secretory ProteinsRNA, Messengerbeta-microseminoproteinNCOA4 protein, humanNuclear Receptor CoactivatorsProstatic Secretory ProteinsRNA, MessengerAllelic imbalance in expressionCRISPR/Cas9EnhancersProstate cancerSNP

Identifiers

PMID33122083
PMCPMC7796996
OpenAlexW3097173920

What OpenQuestion holds

Textmetadata
LicenceTDM
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.