ATP2C2 Has Potential to Define Tumor Microenvironment in Breast Cancer

Tumor microenvironment (TME) is vital for the occurrence and development of breast cancer (BRCA). However, it remains challenging to understand the dynamic modulation of the stromal and immune components comprehensively in TME. Herein, we used ESTIMATE and CIBERSORT algorithm to estimate the number of stromal and immune components and the abundance of tumor-infiltrating immune cells (TICs) in 582 BRCA cases from gene expression omnibus (GEO) database. We employed three regression models including univariable Cox proportion, LASSO regression model and multivariate Cox regression, and identified 7 immune-specific genes related to BRCA survival. Of 7 genes, ATPase Secretory Pathway Ca²⁺ Transporting 2 (ATP2C2) attracts our attention for significantly predicting prognosis of BRCA patients. Further analysis indicated that ATP2C2 expression was closely related to the clinicopathological features (age, T- and N-staging) and negatively correlated with patients' survival in BRCA. Gene Set Enrichment Analysis (GSEA) was performed to reveal pathway enrichment between ATP2C2^high and ATP2C2^low groups. The low ATP2C2 expression groups' genes were mainly enriched for immune-related activities, while those in the ATP2C2 high-expression group were largely enriched in metabolic-related pathways. Notably, Pearson's correlation analysis identified that ATP2C2 expression was positively correlated with T follicular helper (Tfh) cells, and negatively correlated with gamma delta (γδ) T cell, suggesting that ATP2C2 might be accountable for the maintenance of immune-dominant status for TME. To sum up, this study comprehensively analyzed the TME and shed light on prognostic immune-related biomarkers for BRCA. In particular, ATP2C2 might be helpful for predicting the prognosis of BRCA patients, which provided an extra insight for BRCA treatment.

Genome-wide association meta-analysis of age at first cannabis use

BACKGROUND AND AIMS

Cannabis is one of the most commonly used substances among adolescents and young adults. Earlier age at cannabis initiation is linked to adverse life outcomes, including multi-substance use and dependence. This study estimated the heritability of age at first cannabis use and identified associations with genetic variants.

METHODS

A twin-based heritability analysis using 8055 twins from three cohorts was performed. We then carried out a genome-wide association meta-analysis of age at first cannabis use in a discovery sample of 24 953 individuals from nine European, North American and Australian cohorts, and a replication sample of 3735 individuals.

RESULTS

The twin-based heritability for age at first cannabis use was 38% [95% confidence interval (CI) = 19-60%]. Shared and unique environmental factors explained 39% (95% CI = 20-56%) and 22% (95% CI = 16-29%). The genome-wide association meta-analysis identified five single nucleotide polymorphisms (SNPs) on chromosome 16 within the calcium-transporting ATPase gene (ATP2C2) at P < 5E-08. All five SNPs are in high linkage disequilibrium (LD) (r2  > 0.8), with the strongest association at the intronic variant rs1574587 (P = 4.09E-09). Gene-based tests of association identified the ATP2C2 gene on 16q24.1 (P = 1.33e-06). Although the five SNPs and ATP2C2 did not replicate, ATP2C2 has been associated with cocaine dependence in a previous study. ATP2B2, which is a member of the same calcium signalling pathway, has been associated previously with opioid dependence. SNP-based heritability for age at first cannabis use was non-significant.

CONCLUSION

Age at cannabis initiation appears to be moderately heritable in western countries, and individual differences in onset can be explained by separate but correlated genetic liabilities. The significant association between age of initiation and ATP2C2 is consistent with the role of calcium signalling mechanisms in substance use disorders.

Deletion of 16q24.1 supports a role for the ATP2C2 gene in specific language impairment

A 10-year-old boy presented with a history of significant delay in language acquisition as well as receptive and expressive language impairment that persisted into elementary school. In school, he exhibited difficulty with reading comprehension, telling and understanding narratives, and making inferences. Other aspects of his neurodevelopment were normal, with no history of significant medical concerns. He did not have hearing impairment, oromotor dysfunction, or specific neurologic abnormalities. He did not meet testing criteria for autism. Chromosomal microarray analysis and quantitative polymerase chain reaction determined that he had a de novo 159-kilobase deletion of chromosome 16q24.1 that included the ATP2C2 gene. ATP2C2 is a known candidate gene for specific language impairment and is postulated to have neurobiological significance in memory-related circuits. Our patient's language deficits were consistent with a global type of specific language impairment impacting language comprehension, formulation, semantics, syntax, and phonology attributed to his de novo chromosome deletion.

Language impairment and dyslexia genes influence language skills in children with autism spectrum disorders

Language and communication development is a complex process influenced by numerous environmental and genetic factors. Many neurodevelopment disorders include deficits in language and communication skills in their diagnostic criteria, including autism spectrum disorders (ASD), language impairment (LI), and dyslexia. These disorders are polygenic and complex with a significant genetic component contributing to each. The similarity of language phenotypes and comorbidity of these disorders suggest that they may share genetic contributors. To test this, we examined the association of genes previously implicated in dyslexia, LI, and/or language-related traits with language skills in children with ASD. We used genetic and language data collected in the Autism Genome Research Exchange (AGRE) and Simons Simplex Collection (SSC) cohorts to perform a meta-analysis on performance on a receptive vocabulary task. There were associations with LI risk gene ATP2C2 and dyslexia risk gene MRPL19. Additionally, we found suggestive evidence of association with CMIP, GCFC2, KIAA0319L, the DYX2 locus (ACOT13, GPLD1, and FAM65B), and DRD2. Our results show that LI and dyslexia genes also contribute to language traits in children with ASD. These associations add to the growing literature of generalist genes that contribute to multiple related neurobehavioral traits. Future studies should examine whether other genetic contributors may be shared among these disorders and how risk variants interact with each other and the environment to modify clinical presentations.