Modifier locus mapping of a transgenic F2 mouse population identifies CCDC115 as a novel aggressive prostate cancer modifier gene in humans
- PMID: 29890952
- PMCID: PMC5996485
- DOI: 10.1186/s12864-018-4827-2
Modifier locus mapping of a transgenic F2 mouse population identifies CCDC115 as a novel aggressive prostate cancer modifier gene in humans
Abstract
Background: It is well known that development of prostate cancer (PC) can be attributed to somatic mutations of the genome, acquired within proto-oncogenes or tumor-suppressor genes. What is less well understood is how germline variation contributes to disease aggressiveness in PC patients. To map germline modifiers of aggressive neuroendocrine PC, we generated a genetically diverse F2 intercross population using the transgenic TRAMP mouse model and the wild-derived WSB/EiJ (WSB) strain. The relevance of germline modifiers of aggressive PC identified in these mice was extensively correlated in human PC datasets and functionally validated in cell lines.
Results: Aggressive PC traits were quantified in a population of 30 week old (TRAMP x WSB) F2 mice (n = 307). Correlation of germline genotype with aggressive disease phenotype revealed seven modifier loci that were significantly associated with aggressive disease. RNA-seq were analyzed using cis-eQTL and trait correlation analyses to identify candidate genes within each of these loci. Analysis of 92 (TRAMP x WSB) F2 prostates revealed 25 candidate genes that harbored both a significant cis-eQTL and mRNA expression correlations with an aggressive PC trait. We further delineated these candidate genes based on their clinical relevance, by interrogating human PC GWAS and PC tumor gene expression datasets. We identified four genes (CCDC115, DNAJC10, RNF149, and STYXL1), which encompassed all of the following characteristics: 1) one or more germline variants associated with aggressive PC traits; 2) differential mRNA levels associated with aggressive PC traits; and 3) differential mRNA expression between normal and tumor tissue. Functional validation studies of these four genes using the human LNCaP prostate adenocarcinoma cell line revealed ectopic overexpression of CCDC115 can significantly impede cell growth in vitro and tumor growth in vivo. Furthermore, CCDC115 human prostate tumor expression was associated with better survival outcomes.
Conclusion: We have demonstrated how modifier locus mapping in mouse models of PC, coupled with in silico analyses of human PC datasets, can reveal novel germline modifier genes of aggressive PC. We have also characterized CCDC115 as being associated with less aggressive PC in humans, placing it as a potential prognostic marker of aggressive PC.
Keywords: CCDC115; DNAJC10; Germline variation; LNCaP; Prostate cancer; Quantitative trait loci; RNF149; STYXL1; TRAMP mouse model.
Conflict of interest statement
Ethics approval
All animals used in this study were handled, housed and used in the experiments humanely in accordance with the NHGRI Animal Care and Use Committee guidelines under animal study protocol G-09-2.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figures





Similar articles
-
GNL3 and SKA3 are novel prostate cancer metastasis susceptibility genes.Clin Exp Metastasis. 2015 Dec;32(8):769-82. doi: 10.1007/s10585-015-9745-y. Epub 2015 Oct 1. Clin Exp Metastasis. 2015. PMID: 26429724
-
A systems genetics approach identifies CXCL14, ITGAX, and LPCAT2 as novel aggressive prostate cancer susceptibility genes.PLoS Genet. 2014 Nov 20;10(11):e1004809. doi: 10.1371/journal.pgen.1004809. eCollection 2014 Nov. PLoS Genet. 2014. PMID: 25411967 Free PMC article.
-
Germline genetic variation modulates tumor progression and metastasis in a mouse model of neuroendocrine prostate carcinoma.PLoS One. 2013 Apr 19;8(4):e61848. doi: 10.1371/journal.pone.0061848. Print 2013. PLoS One. 2013. PMID: 23620793 Free PMC article.
-
Prostate cancer genomics, biology, and risk assessment through genome-wide association studies.Cancer Sci. 2012 Apr;103(4):607-13. doi: 10.1111/j.1349-7006.2011.02193.x. Epub 2012 Jan 29. Cancer Sci. 2012. PMID: 22181854 Free PMC article. Review.
-
The Power of Single-Cell RNA Sequencing in eQTL Discovery.Genes (Basel). 2022 Mar 12;13(3):502. doi: 10.3390/genes13030502. Genes (Basel). 2022. PMID: 35328055 Free PMC article. Review.
Cited by
-
The Roles of Pseudophosphatases in Disease.Int J Mol Sci. 2021 Jun 28;22(13):6924. doi: 10.3390/ijms22136924. Int J Mol Sci. 2021. PMID: 34203203 Free PMC article. Review.
-
Identification of CCDC115 as an adverse prognostic biomarker in liver cancer based on bioinformatics and experimental analyses.Heliyon. 2023 Aug 22;9(9):e19233. doi: 10.1016/j.heliyon.2023.e19233. eCollection 2023 Sep. Heliyon. 2023. PMID: 37674842 Free PMC article.
-
ReQTL: identifying correlations between expressed SNVs and gene expression using RNA-sequencing data.Bioinformatics. 2020 Mar 1;36(5):1351-1359. doi: 10.1093/bioinformatics/btz750. Bioinformatics. 2020. PMID: 31589315 Free PMC article.
-
Role of the Ubiquitin Ligase RNF149 in the Development of Rat Neonatal Gonocytes.Front Endocrinol (Lausanne). 2022 May 13;13:896507. doi: 10.3389/fendo.2022.896507. eCollection 2022. Front Endocrinol (Lausanne). 2022. PMID: 35634494 Free PMC article.
-
Identifying the role of transient receptor potential channels (TRPs) in kidney renal clear cell carcinoma and their potential therapeutic significances using genomic and transcriptome analyses.BMC Med Genomics. 2022 Jul 13;15(1):156. doi: 10.1186/s12920-022-01312-x. BMC Med Genomics. 2022. PMID: 35831825 Free PMC article.
References
-
- Beltran H, Rickman DS, Park K, Chae SS, Sboner A, MacDonald TY, Wang Y, Sheikh KL, Terry S, Tagawa ST, et al. Molecular characterization of neuroendocrine prostate cancer and identification of new drug targets. Cancer Discov. 2011;1(6):487–495. doi: 10.1158/2159-8290.CD-11-0130. - DOI - PMC - PubMed
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Molecular Biology Databases
Miscellaneous