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Metagenomic characterization of lysine acetyltransferases in human cancer and their association with clinicopathologic features.

ABSTRACT: Lysine acetyltransferases (KATs) are a highly diverse group of epigenetic enzymes that play important roles in various cellular processes including transcription, signal transduction, and cellular metabolism. However, our knowledge of the genomic and transcriptomic alterations of KAT genes and their clinical significance in human cancer remains incomplete. We undertook a metagenomic analysis of 37 KATs in more than 10 000 cancer samples across 33 tumor types, focusing on breast cancer. We identified associations among recurrent genetic alteration, gene expression, clinicopathologic features, and patient survival. Loss-of-function analysis was carried out to examine which KAT has important roles in growth and viability of breast cancer cells. We identified that a subset of KAT genes, including NAA10, KAT6A, and CREBBP, have high frequencies of genomic amplification or mutation in a spectrum of human cancers. Importantly, we found that 3 KATs, NAA10, ACAT2, and BRD4, were highly expressed in the aggressive basal-like subtype, and their expression was significantly associated with disease-free survival. Furthermore, we showed that depletion of NAA10 inhibits basal-like breast cancer growth in vitro. Our findings provide a strong foundation for further mechanistic research and for developing therapies that target NAA10 or other KATs in human cancer.

SUBMITTER: Jiang Y

PROVIDER: S-EPMC7226209 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Metagenomic characterization of lysine acetyltransferases in human cancer and their association with clinicopathologic features.

Jiang Yuanyuan Y Guo Xuhui X Liu Lanxin L Rode Shomita S Wang Rui R Liu Hui H Yang Zeng-Quan ZQ

Cancer science 20200424 5

Lysine acetyltransferases (KATs) are a highly diverse group of epigenetic enzymes that play important roles in various cellular processes including transcription, signal transduction, and cellular metabolism. However, our knowledge of the genomic and transcriptomic alterations of KAT genes and their clinical significance in human cancer remains incomplete. We undertook a metagenomic analysis of 37 KATs in more than 10 000 cancer samples across 33 tumor types, focusing on breast cancer. We identi ...[more]

PMID: 32162442

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Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis was conducted to examine miRNA expression profiles using a Human miRNA Microarray, pre-commercial version 6.0 (Agilent) with 470 miRNA probes, according to the manufacturer’s instructions

Project description:Accumulation of genetic and epigenetic changes alters regulation of a web of interconnected genes including miRNAs, which confer hallmark capabilities and characteristic cancer features. In this study, the miRNA and mRNA expression profiles of 126 non-small cell lung cancer specimens were analyzed, with special attention given to the diversity of lung adenocarcinomas. Of those, 76 adenocarcinomas were classified into two major subtypes, developing lung-like and adult lung-like, based on their distinctive miRNA expression profiles resembling those of either developing or adult lungs, respectively. A systems biology-based approach using a Bayesian network and nonparametric regression was employed to estimate the gene regulatory circuitry functioning in patient tumors in order to identify subnetworks enriched for genes with differential expression between the two major subtypes. miR-30d and miR-195, identified as hub genes in such subnetworks, had lower levels of expression in the developing lung-like subtype, while introduction of miR-30d or miR-195 into the lung cancer cell lines evoked shifts of mRNA expression profiles towards the adult lung-like subtype. Conversely, the influence of miR-30d and miR-195 was significantly different between the developing lung- and adult lung-like subtypes in our analysis of the patient dataset. In addition, RRM2, a child gene of the miR-30d-centered subnetwork, was found to be a direct target of miR-30d. Together, our findings reveal the existence of two miRNA expression profile-defined lung adenocarcinoma subtypes with distinctive clinicopathologic features and also suggest the usefulness of a systems biology-based approach to gain insight into the altered regulatory circuitry involved in cancer development. Microarray analysis using a Whole Human Genome 4 x 44K Microarray G4112F (Agilent) was conducted to examine changes in expression of 400 genes in SiGN network by transfection of Pre-miR-30d, Pre-miR-195 or Pre-miR-NC#2 (Ambion) in SK-LC-7 cells, which were then harvested at 72 hours after transfection.

Dataset Information

Metagenomic characterization of lysine acetyltransferases in human cancer and their association with clinicopathologic features.

Publications

Metagenomic characterization of lysine acetyltransferases in human cancer and their association with clinicopathologic features.

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