| Literature DB >> 28487351 |
Yuet-Kin Leung1,2,3, Vinothini Govindarajah1,2, Ana Cheong1,2, Jennifer Veevers1,2,3, Dan Song1,2, Robin Gear2,4, Xuegong Zhu1,2, Jun Ying1,2,3, Ady Kendler5, Mario Medvedovic1,2,3, Scott Belcher2,4, Shuk-Mei Ho6,2,3,7.
Abstract
In utero exposure to bisphenol A (BPA) increases mammary cancer susceptibility in offspring. High-fat diet is widely believed to be a risk factor of breast cancer. The objective of this study was to determine whether maternal exposure to BPA in addition to high-butterfat (HBF) intake during pregnancy further influences carcinogen-induced mammary cancer risk in offspring, and its dose-response curve. In this study, we found that gestational HBF intake in addition to a low-dose BPA (25 µg/kg BW/day) exposure increased mammary tumor incidence in a 50-day-of-age chemical carcinogen administration model and altered mammary gland morphology in offspring in a non-monotonic manner, while shortening tumor-free survival time compared with the HBF-alone group. In utero HBF and BPA exposure elicited differential effects at the gene level in PND21 mammary glands through DNA methylation, compared with HBF intake in the absence of BPA. Top HBF + BPA-dysregulated genes (ALDH1B1, ASTL, CA7, CPLX4, KCNV2, MAGEE2 and TUBA3E) are associated with poor overall survival in The Cancer Genomic Atlas (TCGA) human breast cancer cohort (n = 1082). Furthermore, the prognostic power of the identified genes was further enhanced in the survival analysis of Caucasian patients with estrogen receptor-positive tumors. In conclusion, concurrent HBF dietary and a low-dose BPA exposure during pregnancy increases mammary tumor incidence in offspring, accompanied by alterations in mammary gland development and gene expression, and possibly through epigenetic reprogramming.Entities:
Keywords: DNA methylation; RNA-seq; TCGA; bisphenol A; breast cancer; developmental origin of health and disease (DOHaD); high-butter fat diet; in utero exposure; non-monotonic response; patient survival; transcriptomics; windows of susceptibility
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Year: 2017 PMID: 28487351 PMCID: PMC5488396 DOI: 10.1530/ERC-17-0006
Source DB: PubMed Journal: Endocr Relat Cancer ISSN: 1351-0088 Impact factor: 5.678
Figure 1Schematic diagram of the experimental design. Female SD rats (7–9 weeks old) were randomized into 6 groups (n = 11 litter/group, one offspring/litter). During mating and throughout gestation, dams were fed a control AIN-93G diet or a modified AIN-93G high-butterfat (HBF) diet in the presence or absence of bisphenol A (BPA) at various concentrations (µg/kg BW (body weight)/day). After birth, dams and offspring were maintained on an AIN-93G diet for the duration of the experiment. Pups were weaned at PND21 and one female offspring per litter was killed for mammary gland transcriptome analysis. At PND50, one female offspring from each dietary group was treated with a single oral dose (20 mg/kg BW) of DMBA to induce mammary cancer. All pups were killed at PND140 for analysis and determination of mammary tumor incidence.
Figure 2Gestational exposure to high butterfat and bisphenol A increases mammary tumor incidence and effects mammary gland morphology. (A) Tumor incidence (percentage of rats that developed at least one tumor) at PND140, in DMBA-treated offspring fed a control (AIN-93G) diet (Ctrl), or a high-butterfat (HBF) diet in the presence or absence of bisphenol A (BPA) at various concentrations. (B) Time (days) post DMBA treatment to first palpable tumor in HBF-alone vs HBF + BPA25 (µg/kg BW/day) groups (log-rank test, P = 0.0422). (C) Number of terminal end buds (TEBs) in PND21 mammary glands, in offspring fed a Ctrl, or a HBF diet in the presence or absence of BPA at various concentrations. Data are expressed as mean ± s.e.m. **P < 0.01, ***P < 0.001 vs HBF, two-way ANOVA. (D) Representative whole mount images of PND21 mammary glands showing TEBs in offspring fed a HBF diet (left) and a HBF diet with 25 µg/kg BW/day BPA (right). Scale bar: 50 mm. Corner inset is a high magnification view of boxed area. Arrowheads mark the location of TEBs.
Figure 3Transcriptome analysis identifies high butterfat intake and bisphenol A exposure-regulated genes associated with cancer-related signaling. (A) Hierarchical clustering analysis of 504 genes with P < 0.05 from genome-wide transcription analysis of laser capture microdissected epithelia of PND21 mammary glands from offspring fed a high butterfat (HBF) diet vs a HBF diet with 25 µg/kg BW/day bisphenol A (BPA). Using an unbiased gene clustering method, the heat map shows that differential genes are clearly segregated between samples into two distinct groups. Ingenuity pathway analysis of the 504 genes identified two cancer-related networks associated with the HBF + BPA vs HBF-alone group: (B) extracellular signal-regulated kinase (ERK) rapid signaling and (C) androgen receptor (AR) signaling. (D) Merging of these networks identified AR to be the key node. Green represents low expression; red represents high expression.
Top differentially expressed genes in mammary glands of offspring gestationally exposed to high-butterfat ± bisphenol A.
| Presence | Location | |||
|---|---|---|---|---|
| Upregulated genes | ||||
| | Calcitonin-related polypeptide, beta | 6.6 | No | Not applicable |
| | Male-specific lethal 3-like 2 | 5.5 | Yes | Exon 2 |
| | Aldehyde dehydrogenase 1 family, member B1 | 5.0 | Yes | 5′ promoter; TSS; Exon 1 |
| | Spermatid associated | 4.8 | No | Not applicable |
| | Astacin-like metallendopeptidase (M12 family) | 4.6 | Yes | >5 kb upstream of TSS; 3′ end, >5 kb downstream of Exon 10 |
| | Melanoma antigen, family E, 2 | 4.3 | No | Not applicable |
| | Tubulin, alpha 3A | 4.3 | No | Not applicable |
| | Hypothetical protein LOC502684 | 3.5 | Yes | >10 kb upstream of TSS |
| | Complexin 4 | 3.4 | Yes | 3′ end; >15 kb downstream of Exon 3 |
| | Potassium channel, subfamily V, member 2 | 3.2 | Yes | Exon 1 |
| Downregulated genes | ||||
| | Olfactory receptor 1229 | −17.6 | No | Not applicable |
| | Olfactory receptor 791 | −9.8 | No | Not applicable |
| | Family with sequence similarity 46, member D | −8.5 | No | Not applicable |
| | Olfactory receptor 788 | −7.3 | No | Not applicable |
| | Olfactory receptor 984 | −7.0 | No | Not applicable |
| | Olfactory receptor 750 | −6.6 | No | Not applicable |
| | Olfactory receptor 51 | −6.6 | No | Not applicable |
| | Chemokines (C–C motif) receptor 9 | −6.4 | No | Not applicable |
| | Carbonic anhydrase 7 | −6.2 | Yes | 5′ promoter; TSS; Exon 1 |
| | Olfactory receptor 830 | −6.0 | No | Not applicable |
Genome-wide transcription analysis on laser capture microdissected epithelia of PND21 mammary glands identified 504 differentially expressed genes (P < 0.05) between high-butterfat (HBF)-alone and HBF + bisphenol A (BPA, 25 µg/kg body weight/day) diet groups. The top ten differentially up- and downregulated genes are listed.
Rat genes that are homologous to human genes; bgenes with a promoter CG-rich region analyzed using bisulfite sequencing analysis; cthe presence and location of the putative regulatory CpG island were predicted by the UCSC Genome Browser.
TSS, transcription start site.
Figure 4In utero high butterfat and BPA exposure alters DNA methylation level of the CpG island in Kcnv2 and Car7. Bisulfite-genomic sequencing was conducted to interrogate differential DNA methylation in (A) Car7 and (B) Kcnv2, in PND21 mammary glands of offspring fed a HBF diet vs a HBF diet with 25 µg/kg BW/day BPA. Percentage of methylation sites in the CpG island of Car7 (53 CpG sites) and Kcnv2 (27 CpG sites) were calculated. Each dot represents the average methylation percentage of each site. Mean (middle bar) and standard deviation (upper and lower bars) are represented in each group. Two-way ANOVA was performed to determine the difference between two groups.
Figure 5Top high butterfat + bisphenol A-dysregulated genes are associated with poor overall survival in breast cancer patients. Seven differentially expressed BPA genes in TCGA RNA-seq expression data were used to stratify a TCGA breast cancer cohort into two groups using unbiased hierarchical clustering. Survival analyses with log-rank test as well as multivariate survival analyses with Cox’s regression model (adjusted with age at pathological analysis) based on overall survival data available in TCGA were performed. Patients in Group 1 show significantly better overall survival in all patients (left panel), Caucasian patients (middle panel) and Caucasian patients with ER-positive tumors (right panel) compared with group 2.