J Cancer Prev 2021; 26(2): 128-136
Published online June 30, 2021
https://doi.org/10.15430/JCP.2021.26.2.128
© Korean Society of Cancer Prevention
Eun-Ryeong Hahm1 , Su-Hyeong Kim1 , Sivapar V. Mathan2 , Rana P. Singh2 , Shivendra V. Singh1
1Department of Pharmacology & Chemical Biology, and UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA, 2Cancer Biology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
Correspondence to :
Shivendra V. Singh, E-mail: singhs@upmc.edu, https://orcid.org/0000-0002-3733-144X
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Diallyl trisulfide (DATS), a metabolic by-product of processed garlic, is highly effective in inhibiting growth of human breast cancer cells in vitro and in vivo, but the underlying mechanisms are still not fully understood. In this study, we performed RNA-seq analyses using luminal-type (MCF-7) and basal-like (MDA-MB-231) human breast cancer cells to identify mechanistic targets of DATS. The Reactome Pathway Analysis revealed upregulation of genes associated with SLIT/ROBO tumor suppressor signaling following DATS treatment in both MCF-7 and MDA-MB-231 cells. However, the expression of SLIT2 and ROBO1 proteins or their downstream target C-X-C motif chemokine receptor 4 was not affected by DATS treatment in both cell lines. The Reactome as well as the Gene Ontology Pathways Analyses of the RNA-seq data from DATS-treated cells indicated downregulation of genes associated with G2/M phase cell cycle arrest in comparison with vehicle-treated control cells. Consistent with the RNA-seq data, DATS treatment caused a significant increase in the fraction of the G2/M population in both cell lines when compared to corresponding control cells. In addition, Ser10 phosphorylation of histone H3, a mitotic marker, was also increased significantly following DATS treatment in MCF-7 and MDA-MB-231 cells. These results indicate that while SLIT/ROBO signaling is not affected by DATS treatment, cell cycle arrest likely contributes to the antitumor effect of this phytochemical.
Keywords: Breast neoplasms, Allyl compounds, Sulfides, Chemoprevention
Breast cancer is a leading cause of cancer-related deaths in American females [1]. In addition to the changes in lifestyle, chemoprevention represents a promising approach for reducing the morbidity and mortality associated with breast cancer [2]. Breast cancer is a heterogeneous malignancy broadly grouped into three major subtypes (luminal-type, human epidermal growth factor receptor 2 [Her-2]-enriched, and basal-like), but a clinical chemopreventative intervention is available only for the luminal-type disease [3-5]. Because of their safety, edible plants like
Epidemiological studies have suggested the beneficial effects of garlic and onion on breast cancer risk [9-11]. In a French case-control study with 345 patients and controls matched for age and socio-economic status, the breast cancer risk was inversely associated with increased intake of garlic and onions [9]. In another study conducted in Puerto Rico, an inverse association was observed for breast cancer risk with moderate consumption (odds ratio [OR] = 0.59) and high consumption (OR = 0.51) when compared to low consumption of onion and garlic (
The protective effect of garlic and onions on breast cancer risk is attributable to organosulfur compounds (OSCs), which are generated upon processing (mincing, chewing, etc.) [13]. The primary sulfur compounds in intact
Despite promising in vitro and in vivo data on anticancer effects of DATS in breast cancer, the underlying mechanisms are not fully understood. In the study, we compared RNA-seq data using control (vehicle-treated) and DATS-treated MCF-7 and MDA-MB-231 human breast cancer cell lines to gain insights into the mechanism(s) by which DATS inhibits the growth of breast cancer cells.
DATS (99.2%) was purchased from LKT Laboratories (St. Paul, MN, USA), dissolved in dimethyl sulfoxide (DMSO; 28 mmol/L stock), and stored at –80°C prior to use. Cell culture media were from MediaTech (Manassas, VA, USA). Fetal bovine serum was obtained from Atlanta Biologicals (Norcross, GA, USA). Antibodies against ROBO1 and SLIT2 were from Proteintech Group (Rosemont, IL, USA), while anti-C-X-C motif chemokine receptor 4 antibody was from Abcam (Cambridge, MA, USA). Alexa Fluor 488-conjugated phospho-(Ser10) histone H3 antibody was from Cell Signaling Technology (Danvers, MA, USA). Anti-phospho-(Ser10)-histone H3 antibody was from Millipore-Sigma (Burlington, MA, USA). Anti-β-actin antibody and propidium iodide (PI) were from Sigma (St. Louis, MO, USA).
MCF-7 and MDA-MB-231 human breast cancer cell lines were purchased from the American Type Culture Collection (Manassas, VA, USA), and each cell line was maintained as suggested by the supplier. These cell lines were last authenticated by us in March of 2017.
Samples were prepared three times independently. Briefly, MCF-7 and MDA-MB-231 cells were plated in 10-cm dishes at a density of 1 × 106 cells/dish and incubated overnight for attachment. The cells were treated with DMSO (final concentration: 0.07%) or 20 µmol/L of DATS for 16 hours. Total RNA was isolated using RNeasy Mini Kit from Qiagen (Germantown, MD, USA). RNA quality determination and RNA-seq analysis were performed by Novogene (Sacramento, CA, USA). Other details of RNA-seq analysis were similar as described by us previously [17]. The RNA-seq data were analyzed using the Reactome, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. The RNA-seq data presented in this study have been submitted to the Gene Expression Omnibus of the National Center for Biotechnology Information and can be retrieved by accession number GSE173616.
The MCF-7 or MDA-MB-231 cells were plated in 6-cm dishes at a density of 5 × 105 cells/dish and allowed to attach. The cells were treated with DMSO (control) or DATS (10 or 20 μmol/L) for 4, 8, and 16 hours. The whole-cell lysates were prepared as described by us previously [18].
The cells (5 × 105 cells/dish) were plated onto 6-cm dishes in triplicate and incubated overnight and then treated with DMSO (control) or DATS (10 or 20 μmol/L) for 4 and 8 hours. The cells were then collected by trypsinization and fixed with 70% ethanol for overnight at 4°C. Following permeabilization with Triton X-100, the cells were incubated with Alexa Fluor 488-conjugated phospho-(Ser10) histone H3 antibody and then stained with PI. The cells were analyzed using Accuri C6 flow cytometer.
GraphPad Prism (version 8.0.0) was used to perform statistical analyses. One-way ANOVA followed by Dunnett’s test was used for dose-response analysis. A
We have shown previously that the viability of MCF-7 and MDA-MB-231 cells is inhibited significantly following 24-hour treatment with 20 and 40 μmol/L DATS (its chemical structure shown in Fig. 1A) [19]. The pharmacokinetic parameters for DATS have been determined in rats after intravenous administration of a single 10 mg dose [20]. The maximum blood concentration of DATS was found to be ~31 μmol/L [20]. Therefore, MCF-7 and MDA-MB-231 cells were treated with 20 μmol/L DATS for 16 hours prior to RNA isolation and RNA-seq analysis. The total mapping rates for the control and DATS-treated MCF-7 cells were about 96.12% ± 0.16% and 95.93% ± 0.12%, respectively. The total mapping rates for the control and DATS-treated MDA-MB-231 cells were about 96.61% ± 0.21% and 96.46% ± 0.12%, respectively.
Figure 1B shows Volcano plots that visualize the distribution of differentially expressed genes between control and DATS-treated cells with an adjusted
Figure 2 shows the results of the Reactome pathway analysis of the RNA-seq data. The Reactome database covers annotations for a diverse set of molecular and cell biological topics, including cell cycle, metabolism, signaling, transport, cell motility, immune function, host-virus interaction, and neural function. In MCF-7 cells, the top 5 pathways with DATS-mediated upregulation of genes included signaling by interleukins, neutrophil degranulation, regulation of expression of SLITs and ROBOs, interleukin-4 and interleukin-13 signaling, and influenza virus transcription and replication (Fig. 2A). The top 5 pathways with upregulation of genes following DATS treatment in MDA-MB-231 cells were signaling by ROBO receptors, regulation of expression of SLITs and ROBOs, influenza infection, influenza life cycle, and influenza viral transcription and replication (Fig. 2A). In MCF-7 cells, the top 5 pathways with DATS-mediated downregulation of genes included cell cycle checkpoints, ESR-mediated signaling, estrogen-dependent gene expression, chromosome maintenance, and processing of DNA double-strand break (Fig. 2B). The top 5 pathways with downregulation of genes following DATS treatment in MDA-MB-231 cells were M phase, mitotic prometaphase, cell cycle checkpoints, DNA double-strand break repair, and resolution of sister chromatid cohesion (Fig. 2B). The results of GO enrichment analysis, which all three ontologies (cellular component, molecular function, and biological processes), are shown in Figure 3. The KEGG pathway analysis identifies changes in expression of genes associated with metabolic pathway, oxidative phosphorylation, cell cycle, ubiquitin-mediated proteolysis, and so forth. The results of the KEGG pathway analysis are shown in Figure 4 signifying changes in gene expression following DATS treatment in MCF-7 and MDA-MB-231 cells.
The SLIT/ROBO signaling functions to suppress tumor in breast and other solid tumors [21,22]. Because upregulation of genes associated with the SLIT/ROBO pathway was observed following DATS treatment in both MCF-7 and MDA-MB-231 cells in the Reactome pathway analysis, we focused on this pathway for validation of the RNA-seq data. Expression of SLIT2 or ROBO1 protein was not altered meaningfully in either cell line (Fig. 5). These results ruled out a role for the SLIT/ROBO pathway in antitumor effects of DATS.
The flow histograms for cell cycle distribution in control and DATS-treated MCF-7 and MDA-MB-231 cells are shown in Figure 6A. The fraction of G2/M phase cells was increased significantly after DATS treatment in both cell lines (Fig. 6B). Flow histograms for levels of Ser10 phosphorylated histone H3, a marker of cells in mitosis phase, are shown in Figure 6C. DATS treatment also caused an increase in Ser10 phosphorylation of histone H3 in both cell lines when compared to control cells (Fig. 6D). These results confirmed G2 and M phase cell cycle arrest upon DATS treatment in MCF-7 and MDA-MB-231 cells.
In the present study, we used human breast cancer cell lines representative of two major subtypes to determine DATS-mediated changes in gene expression. Several cancer-relevant pathways are affected by DATS treatment in both cell lines as revealed by the Reactome, GO, and KEGG pathway analyses. While gene expression changes associated with the SLIT/ROBO pathway did not translate to upregulation of their protein levels after DATS treatment, the G2/M phase cell cycle arrest was consistent with the RNA-seq analysis. We propose that DATS-mediated cell cycle arrest likely contributes to the antitumor effect of DATS. However, it remains to be seen whether DATS-mediated cell cycle arrest is selective for cancer cells and does not occur in normal mammary epithelial cells. It is equally important to determine if DATS treatment causes G2/M phase cell cycle arrest in Her2-enriched breast cancer cells. We plan to explore these possibilities in future studies.
The Reactome pathway analysis revealed downregulation of genes associated with ESR (estrogen receptor, ER)-mediated signaling and estrogen-dependent gene expression after DATS treatment in the MCF-7 cell line. The ER-α is epigenetically silenced in the MDA-MB-231 cell line. The RNA-seq data in MCF-7 cells confirm our earlier finding on DATS-mediated suppression of ER-α expression and activity in breast cancer cells [23]. DATS is a relatively more potent suppressor of ER-α protein expression than DAS or DADS [23]. The DATS treatment also suppresses 17β-estradiol (E2)-induced expression of pS2 and cyclin D1 that are ER-α target gene products [23]. In conclusion, this study identifies ER-α as a novel target of DATS in mammary cancer cells [23].
The present study reveals downregulation of the genes associated with other cancer-relevant signaling pathways potentially contributing to the antitumor effect of DATS. As an example, DATS treatment caused a decrease in expression of genes associated with JAK-STAT signaling pathway (KEGG pathway analysis). The JAK-STAT3 pathway plays an important oncogenic role in breast cancer [24]. We have shown previously that DATS treatment inhibits leptin-stimulated phosphorylation (activation) of STAT3 in MCF-7 and MDA-MB-231 cells [25]. More importantly, Ser727 phosphorylation was decreased significantly by DATS administration in vivo in a triple-negative xenograft model of basal-like SUM159 cells [25].
We have shown previously that DATS inhibits self-renewal of breast cancer stem-like cells (bCSC) in MCF-7 and SUM159 cells [26]. Inhibition of bCSC by DATS was accompanied by downregulation of Forkhead box Q1 (FoxQ1) protein [26]. Overexpression of FoxQ1 in both MCF-7 and SUM159 cell lines conferred significant protection against DATS-mediated inhibition of bCSC population [26]. Surprisingly, the RNA-seq analysis did not reveal downregulation of
For bCSC work, the cells were treated for 24 hours or 72 hours with 2.5 and/or 5 μmol/L DATS [26]. In the present study, cells were treated for 16 hours with 20 μmol/L DATS. Nevertheless, among several stemness-related genes, the expression of pre-B-cell leukemia transcription factor 1 (
In conclusion, the present study identifies signaling pathways that may contribute to the antitumor effect of DATS. However, additional work is needed to validate other gene expression changes following DATS treatment based on the results of the Reactome, GO, and KEGG pathway analyses.
This study was supported by the National Cancer Institute at the National Institutes of Health grant R01 CA219180 (to SVS). This study used the UPMC Hillman Cancer Center Flow Cytometry Facility supported by the National Cancer Institute at the National Institutes of Health grant P30 CA047904.
No potential conflicts of interest were disclosed.
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