Background
Breast cancer occurs in mammary epithelial tissues of malignant tumours and is one of the world’s three most commonly diagnosed cancers [
1]. According to the World Cancer Research Fund International 2012 report, the United States, China and India share almost one-third of the burden of disease, accounting for approximately 25% of all new cancer cases diagnosed. By 2021, the incidence rate of breast cancer in women aged 55–69 years in China is estimated to increase from less than 6/10,000 to 1/1000, reaching a total of 250,000 cases [
2]; in such situation, breast cancer can become the most common threat to women’s physical and mental health. Therefore, studies on the prevention and cure of breast cancer are of great significance in our country.
Long non-coding RNA (lncRNA), which measures more than 200 bp functional non-encoding RNAs in length [
3], was once considered in the evolutionary process to be non-functional genome accumulation of ‘junk sequences’. However, in-depth research in recent years found that lncRNA plays an important role in dosage compensation, epigenetic regulation [
4] and regulation of cell cycle and differentiation [
5]. At present, some lncRNA genes, such as
LOC554202 [
6],
BCAR4 [
7],
MALAT1 [
8] and
GAS5 [
9] have been reported to play an important role in the occurrence and development of breast cancer.
Ribonuclease P RNA component H1 (
RPPH1) is the RNA component of the RNase P ribonucleoprotein, an endoribonuclease that cleaves tRNA precursor molecules to form the mature 5′ termini of the tRNA sequences [
10].
RPPH1 has also been used as an internal control for RNA quantification [
11‐
13]. Recent deep sequencing studies showed that
RPPH1 was upregulated in human gastric cancer tissues [
14] and in the neocortex of patients with seizures [
15]. A biochemical study has shown that RNase P takes part in the maturation lncRNA
MALAT1 [
16]. Although these data suggested that
RPPH1 may be involved in disease progression in animals and humans, the regulatory mechanisms of
RPPH1 expression remain largely unknown. In this study, we intended to explore the interactions of
RPPH1 in breast cancer.
Methods
Cell lines, cell culture and tissue collection
The breast cancer cell lines MDA-MB-231, HCC-1937, MDA-MB-453 and MCF-7 were purchased from the Shanghai Cell Bank of the Chinese Academy of Science. The cells were cultured in RPMI 1640 medium (HyClone, Hudson, NH, USA) supplemented with 10% fetal bovine serum at 37 °C and with 5% CO2. Twenty paired breast tissues from patients were collected by surgical resection at Xiangya Hospital between May 2010 and November 2014; the diagnosis of breast cancer was confirmed by histopathologic evaluation. The study was approved by the ethics committee of the Xiangya Hospital of Central South University.
RNA extraction and quantitative real-time polymerase chain reaction (qPCR)
Total RNA was extracted from the cell lines and tissues using Trizol reagent (Dongshen biotech, Guangzhou, China). Revert Aid First Strand cDNA Synthesis Kit (Thermo Scientific Fermentas, Waltham, MA, USA) was utilised for reverse transcription. Real-time PCR was performed using an ABI PRISM7300 Sequence Detection System (Applied Biosystems) with SYBR Green PCR mixture (Dongshen biotech). The sets of primers are shown in Table
1. The relative expression level was determined using the 2
−ΔΔCt analysis method, where
β-actin and U6 were used as the internal standard. All reactions were run in triplicate and all experiments were carried out in three independent times.
Table 1
The primers used for qPCR assay
RPPH1 | Forward | CGA GCT GAG TGC GTC CTG TC |
Reverse | TCG CTG GCC GTG AGT CTG T |
β-actin | Forward | AGG GGC CGG ACT CGT CAT ACT |
Reverse | GGC GGC ACC ACC ATG TAC CCT |
ADAM10 | Forward | GAA CAG AGT GCA CAC CAG GA |
Reverse | TGG CCA GAT TCA ACA AAA CAGT |
Bcl-w | Forward | CAC AAG TGC AGG AGT GGA TGG |
Reverse | CCC GTA TAG AGC TGT GAA CTC C |
VEGFC | Forward | CGA GGG CCT GGA GTG TG |
Reverse | CCG CAT AAT CTG CAT GGT GAT |
PKM2 | Forward | ACT CGG GCT GAA GGC AGT GA |
Reverse | TGT GGG GTC GCT GGT AAT GG |
NOD2 | Forward | CAG CCT CCG CAA GCA CTT CCA CT |
Reverse | CTC CAC GCC AAT GTC ACC CAC AG |
IGF1R | Forward | GGA CAG GTC AGA GGG TTT C |
Reverse | CTC GTA ACT CTT CTC TGT GCC |
NDRG3 | Forward | GAG ATC ACC CAG CAC TTT GC |
Reverse | AAG CTC CAG CTC CAA CTC CA |
miR-122 | Purchased from GeneCipoiea, HmiRQP0056 |
U6 | Purchased from GeneCipoiea, HmiRQP9001 |
In-situ hybridisation assay (ISH)
The breast tissue chip containing breast carcinoma tissues and normal tissues was purchased from Auragene (Changsha, China). The sequence of the lncRNA RPPH1 probe was purchased from BGI Tech company (Shenzhen, China). A hybridisation probe mixture (1:500) was added, and the operation followed the instructions of the in-situ Hybridisation Kit (Auragene) manufacturer. Finally, the stained chip was observed under optical microscope (Optec, ChongQin, China).
Vector construction and transfection
To construct the pRNAT-U6.1/Neo-shRPPH1, which served as the RPPH1 knockdown vector, an RPPH1 shRNA fragment that contained the target gene, a loop ring and the BamHI and HindIII sites was inserted into the pRNAT-U6.1/Neo vector. The target sequence of the RPPH1 shRNA was 5′-AAGTGAGTTCAATGGCTGAGG-3′. To construct the pcDNA3.1-oe RPPH1 vector, which was the RPPH1 overexpression vector, the target gene fragment was cloned into the site between the HindIII//XhoI of the pcDNA3.1 vector. Construction of both vectors with the target gene and correct insertion without nucleotide mutation or non-specific bands were confirmed.
For transfection of the RPPH1 knockdown and overexpression vectors, MCF-7 and MDA-MB-231 cells were seeded into a 60-mm dish at 37 °C and with 5% CO2 until the confluence of the cells was about 50–60%. The 2.5 μg negative control vector, RPPH1 overexpression vector, random sequence interference plasmid and RPPH1 knockdown vector were transfected using the lipo6000 reagent (Beyotime Biotechnology, China) for 4 h in the culture without fetal bovine serum (FBS), before transferring into the complete medium for 48 h.
MTT assay
The cells were collected and adjusted to a concentration of 5 × 104 cells/well before they were cultured in a 35-mm dishat 37 °C with 5% CO2 for 24, 48 and 72 h. Thereafter, 10 μL of MTT was added to the cells; the solution was maintained at 37 °C with 5% CO2 for another 4 h before MTT was removed. The value of optical density was measured at 570 nm while the cells were suspended in 150 μL of dimethyl sulfoxide.
The clonogenicity of a single cell was detected by colony assay. Cells were collected by adding 0.25% trypsin and were adjusted to a concentration of 300 cells/petri dish, which was then loaded with 2 mL of pre-heated culture media before being cultured at 37 °C with 5% CO2 for 2–3 weeks. Colony formation was terminated until the colony was visible to the naked eye. Thereafter, the cells were washed twice with phosphate-buffered saline (PBS) and fixated with 4% paraformaldehyde for 15 min before Giemsa staining for 10 min. Thereafter, the number of clones was counted and the rate of colony formation was calculated as follows: Colony formation rate = (number of colonies/inoculation cell number) × 100.
Cell cycle analysis
The cell cycle was measured by flow cytometer. The cells were collected by trypsin (Auragene) and were washed twice with PBS before fixation in 500 μL of 75% pre-cooled ethanol at 4 °C overnight. Thereafter, the cells were washed by PBS twice, bathed in water with 100 μL of RNase A (Auragene) at 37 °C for 30 min then incubated in the dark with 500 μL of PI (Solarbio, China) at 4 °C for 30 min. Thereafter, the stained cells were analysed in a FACScanto II (BD Biosciences, USA) and the results were recorded at an excitation wave length of 488 nm.
Luciferase reporter assay
The possibility of miR-122 and
RPPH1 target binding was predicted using an online software miRcode (
http://www.mircode.org/). The predicted
RPPH1 mRNA binding site region was cloned into a psi-CHECK2 vector. MCF-7 and MDA-MB-231 cells were co-transfected with the vectors and the miR-122 mimics or scramble control. The supernatants were collected 48 h later; luciferase activity was measured using a Dual-Luciferase Reporter Assay System (Promega, Fitchburg, WI, USA).
To assess the tumour forming potential of the parental and transfected cell lines, the in vitro cells in the log growth phase were trypsinised, washed in a serum-free medium and quantified by coulter counter before being injected into nude mice at a concentration of 2 × 106 cells. Each mouse was monitored once a week for tumour development. Sites were scored as positive for tumour growth when they reached 5 mm in diameter. Tumour volume was calculated using the formula: V (mm3) = 0.2618 × a × b × (a + b), where a represented the maximum longitudinal diameter and b represented the maximum transverse diameter. Four weeks later, the mice were sacrificed. The entire animal study was approved by the ethics committee of the Xiangya Hospital of Central South University.
Statistical analysis
Statistical analysis was performed using the GraphPad Prism 6 software (GraphPad Software, Inc., La Jolla, CA, USA) or SPSS 18.0 software (SPSS, Chicago, IL, USA). Data were shown as mean ± standard deviation and were analysed using unpaired two-tailed Student’s t test or one-way analysis of variance with Bonferroni t post-test, depending on the conditions and group number. A P value of less than 0.05 was considered to indicate statistical significance.
Discussion
In this study, we first found that lncRNA RPPH1 was significantly upregulated in breast cancer tissues compared with adjacent normal tissues; these findings corresponded with the result of microarray ISH. In addition, qPCR detected high expression of RPPH1 in four kinds of breast cancer cell lines. Based on these results, we assumed that RPPH1 plays an important role in the development of breast cancer and its high expression may help promote tumour deterioration; therefore, RPPH1 may be a promising prognostic biomarker for breast cancer.
To further explore the functions of RPPH1 in breast cancer, we speculated that RPPH1 played a significant role in tumour biology. First, RPPH1 expression in chosen representative breast cancer cell lines was investigated and compared with that in non-tumour breast cell lines. In agreement with our findings in breast cancer tissues, we found that the MCF-7 and MDA-MB-231 cell lines exhibited high RPPH1 expression, compared with the HBL-100 cell line. We then determined whether RPPH1 expression influenced the proliferation of breast cancer cells. Indeed, overexpression of RPPH1 enhanced cell proliferation and increased clone formation, whereas the knockdown of RPPH1 significantly inhibited cell proliferation in both MCF-7 and MDA-MB-231 cell lines. Moreover, we demonstrated that the mechanism may be associated with arrest of the G1 phase of the cell cycle, which indicated that RPPH1 has an ability to regulate the cell cycle. These results revealed that RPPH1 may affect breast cancer progression by affecting cell proliferation and the cell cycle.
RPPH1 is a well-known RNA subunit of RNase P, which is responsible for tRNA maturation in all three domains of life [
17]. A previous study demonstrated that one of our tested ceRNA pathways,
RPPH1/miR-330-5p/CDC42, may be involved in the compensatory behaviour of brain neurons to combat synaptic loss during AD pathogenesis [
18]. However, the downstream pathway in breast cancer is currently not known. To explore the molecular mechanism through which
RPPH1 contributes to cell proliferation and causes apoptosis in breast cancer cells, we investigated the potential target genes involved in cell proliferation and the cell cycle through microarray analysis. qPCR analysis demonstrated that the miR-122 mRNA levels were decreased in breast cancer cell lines and in cancer-site tissues, compared with the adjacent tissues. Moreover, the expression of miR-122 increased after
RPPH1 knockdown and decreased after
RPPH1 overexpression. Indeed, the dual-luciferase assay demonstrated that
RPPH1 and miR-122 had a relationship of targeted binding. Therefore, we identified miR-122 as a target gene of
RPPH1.
Further study by addition of miR-122 mimics into the RPPH1 overexpression model showed that the biological function of RPPH1 in breast cancer was related to the regulation of miR-122 and that the cell biological functions, including proliferation, cell cycle and clone formation were changed to some extent. In addition, we confirmed that RPPH1 and miR-122 interacted with each other.
MiR-122, which plays a role in tumour suppression in various cancers, has been investigated extensively. In this study, we focused on the potential effectiveness of miR-122 in breast cancer. Ergun et al. [
19] suggested that miR-122-5p was a potential regulator of
ADAM10 and trastuzumab resistance. Sercan Biyun Wang et al. [
20] found that miR-122 took the crucial role of a tumour suppressor by targeting
IGF1R and regulating the PI3K/Akt/mTOR/p70S6K pathway in breast cancer. Another study demonstrated that miR-122 was strongly correlated with the clinical outcomes of breast cancer, including response to neoadjuvant chemotherapy and relapse with metastatic disease. In particular, higher circulating miR-122 levels estimated the occurrence of metastasis in stage II and III breast cancer cases [
21]. Based on the results of previous studies, we chose the miR-122 target genes
ADAM10 [
19],
Bcl-
w [
22],
VEGFC [
23],
PKM2 [
24],
NOD2 [
25],
IGF1R [
20] and
NDRG3 [
26] to explore the downstream genes in breast cancer. Based on the qPCR results in the
RPPH1 function cell models, we may infer that
RPPH1 promoted breast cancer cell proliferation and cell cycle progression through down-regulation of micro-RNA 122 and influence the expression of
ADAM10,
PKM2,
NOD2 and
IGF1R genes. The next step should be selecting one of the significant genes to clarify the specific pathway that interacts with
RPPH1. Finally, investigation of tumour formation in nude mice in this study showed that lentivirus-mediated
RPPH1 lncRNA interference can reduce the size of solid tumours.
Authors’ contributions
Both authors participated in the research design, data analysis and manuscript drafting and revision. Both authors read and approved the final manuscript.