Background
Ovarian cancer has the highest mortality rate among gynecological malignancies in the Western world [
1]. The Cancer Genome Atlas Research Network demonstrates that high-grade serous cancer is characterized by TP53 mutations in up to 96% of the cases [
2]. In addition, P53 is more highly expressed in high-grade tumors, in cancers with metastasis as well as in younger patients [
3].
The p53 protein is a 393 amino acid phosphoprotein with five main active domains, with specific functions linked to each one of these domains [
4]. This protein enhances the transcription of its target genes, such as p21, a kinase inhibitor implicated in cell cycle arrest and apoptosis initiation [
5], and MDM2, which is responsible of the repression and degradation of p53 [
6].
Various types of TP53 mutations are observed in 40–80% of epithelial ovarian cancers, contributing either to an inactive or a truncated p53 protein [
7]. The majority of mutations affecting TP53 are usually located in exons 5–8, coding for the DNA binding domain of the protein. This domain plays a key role in the activation of the transcription of p53 target genes [
8]. Single point mutation in this area leads to the formation of a complete protein with a decreased affinity to its binding sites on its target genes. In addition to the DNA binding domain, the core domain of this protein contains also a proline rich region, which regulates the ability of the protein to induce apoptosis. This region of the gene coded by exon 4 is also prone to mutations. Actually, a single nucleotide polymorphism (SNP), affecting codon 72 of exon 4, leads to the conversion of proline (CCC) to arginine (CGC) [
9]. Recent studies demonstrated an association between this polymorphism and the risk of cancer development, along with a variation in patient’s response to chemotherapy [
10].
In addition to its role in proliferation control, senescence and apoptosis, p53 regulates glycolysis and oxidative phosphorylation by inhibiting the first and activating the second [
11,
12]. One of these genes is TIGAR (TP53-inducible glycolysis and apoptosis regulator), an inhibitor of phosphofructokinase, which is responsible of the hydrolysis of fructose-2,6-bisphosphate and fructose-1,6-bisphosphate [
13]. In opposition to TIGAR, the glucose transporters GLUT-1, GLUT-3 and GLUT-4 are repressed by p53, which leads to a decrease in glucose absorption [
14]. Mutations affecting the DNA binding domain of TP53 decrease the ability of p53 to regulate the expression of glucose transporters, which increases glucose metabolism and energetic supply [
15]. p53 also represses the transcription of pyruvate kinase (PK), phosphofructokinase (PFK) and aldolase and enhances the expression of pyruvate dehydrogenase (PDH) [
16]. In addition, p53 modulates glucose metabolism via its direct effect on the key enzyme of the pentose phosphate pathway, the glucose-6-phosphate dehydrogenase (G6PD) [
17].
In the present study, we demonstrated that p53 functions are differently altered depending on the site of the mutation affecting the gene. In fact, alterations affecting both proline rich domain and DNA binding domain lead to p53 overexpression. However, P72R polymorphism doesn’t affect the protein’s transcriptional activity, apoptosis induction or glycolysis regulation. In the contrary, mutations in the DNA binding domain contribute to a more pronounced decrease in glucose metabolism.
Materials and methods
Patient population and data collection
The study population included 30 Lebanese patients suffering from epithelial ovarian carcinoma who had undergone debulking surgery at the Hotel-Dieu de France hospital between 2014 and 2017. Fresh tissue was collected after surgery, along with all histopathological and clinical data, including the age of the patient, date of surgery, histological subtype, stage and grade, and follow-up information. Informed consent from each patient was obtained at the time of the surgery, according to the regulations of the institution. The ethical permission for sample collection and manipulation was obtained from the ethical committees of both Saint Joseph University and Hotel-Dieu de France hospital.
Immunohistochemistry for p53
Fresh tissue samples were paraffin embedded, sectioned at 4 μm, mounted on slides and fixed for 10 min in acetone. The tissue sections were then incubated with a primary mouse monoclonal p53 antibody (DO-7, 1 μg/mL, 1/100, BioGenex Fermont CA), followed by incubation with a secondary rabbit anti-mouse IgG antibody and a tertiary mouse peroxidase anti-peroxidase antibody. Staining of the initial tissue section with H&E was performed to confirm the histopathological type of the ovarian tumor. One pathologist (A.K.) reviewed the slides, and tumors with 40% or more stained nuclei were considered p53 overexpressing.
Cell extraction and culture
Ovarian cancer samples were examined macroscopically, and carcinomatosis was separated from normal tissue according to the aspect of the tissue sections. These carcinomatosis were cut into small pieces and were incubated with collagenase IV (Sigma Chemical Co., St. Louis, MO, USA) for 2 h in a 37 °C shaker incubator. The digest, containing ovarian cancer cells, was harvested and cultured in DMEM (4.5 g/L glucose) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin (PS) (Sigma Chemical Co., St. Louis, MO, USA). As for the cell lines, the Sk-Ov-3 and Igrov-1 cell lines were purchased from the American Type Cell Culture (ATCC, USA) and were cultured in 4.5 g/L DMEM + 10% FBS + 1% PS as recommended. The Ovcar-3 cell line was also purchased from the ATCC and was cultured in F12 medium with 20% FBS and 1% PS. All the cells were incubated in a humidified incubator at 37 °C with 5% CO2.
DNA purification and PCR-SSCP
DNA was extracted from the tissue section using the NucleoSpin Tissue for DNA, RNA and protein purification kit (Macherey–Nagel, USA) according to the manufacturer’s protocol. The amplification of each of the 10 exons was performed by PCR using the specific primers listed in Additional file
1: Table S1. The oligonucleotide primers were designed to span the entire exon and a sufficient flanking intron sequence to include the splice junction mutations for the analysis. SSCP was performed as follows: 100 ng of DNA was amplified for 35 cycles using the 5× FIREPol PCR mastermix ready to load (SOLIS BIODYNE, Estonia). The PCR product was denatured by heat shock and was run on a 12% polyacrylamide gel at 160 V for 2 h. The gel was stained by SYBR gold (Qiagen Inc.) for 15 min and visualized using the UVP BioImaging system. The wild type p53 gene in the MCF-7 cell line was used as a control. All the samples that showed altered mobility were further characterized by DNA sequencing for the altered exon.
DNA sequence analysis for p53
The altered exons identified by SSCP were assessed by DNA sequencing. DNA was reamplified with the suitable primer, and the PCR product was purified using the PCR purification kit (Qiagen, Inc). The purified strands were analyzed using the Applied Biosystems 3500 and the BigDye terminator 1.1 according to the manufacturer’s protocol. The ovarian carcinoma cases that showed no alteration in motility by the SSCP technique but exhibited an overexpression of p53 by immunohistochemistry were subjected to complete DNA sequencing for exons 2–11.
Plasmid construction and transfection
The Sk-Ov-3 cell line was transfected with 4 different types of plasmids, including pBABE-neo, Flag-p53/pRK5 and pCMV-Neo-Bam p53 R249S plasmids, which were purchased from AddGene (USA), and a fourth plasmid was constructed using the GeneArt Site-Directed Mutagenesis PLUS kit (Invitrogen, life technologies) according to the manufacturer’s protocol. The Flag-p53/pRK5 plasmid was used as a template, and a 25 bp set of primers (Additional file
1: Table S1) was designed containing the point mutation in the middle.
RNA purification and quantitative real time PCR
The cultured cells that were extracted from the biopsies, the cells from the three cell lines and the transfected Sk-Ov-3 cells were subjected to RNA extraction using the Nucleospin RNA extraction kit (Macherey–Nagel, USA) according to the manufacturer’s protocol. cDNA synthesis was performed with 40 ng of RNA using the iScript cDNA Synthesis kit (Bio-Rad, USA). Genes expression was quantified using the QuantiFast SYBR Green PCR Kit (Qiagen, Inc.) by qPCR according to the manufacturer’s protocol. Β actin and GAPDH were used as internal controls. Adequate primers for all the genes are listed in Additional file
1: Table S1.
Measurement of glucose consumption and lactate production
The levels of glucose absorption by the ovarian cultured biopsies, the cell lines and the transfected cells were evaluated using the glucose oxidase from Aspergillus niger kit (Sigma Chemical Co., St. Louis, MO, USA) following the manufacturer’s protocol. Lactate production was evaluated in the same supernatant samples using the PAP Lactate kit (BioMerieux, France) according to the kit’s protocol. The results were normalized according to the cell count.
Cell apoptosis-Annexin V affinity assay
The apoptosis levels of the transfected Sk-Ov-3 cells were determined using the Annexin V-FITC Apoptosis Detection Kit (Abcam) as recommended by the manufacturer. Briefly, the cells were transfected with the four types of vectors for 24 and 48 h. The transfected cells were then labeled with Annexin V-FITC and detected by flow cytometry.
Proliferation assay
The cell viability was determined using the 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium salt assay as reported by the manufacturer’s instructions (Takara Bio Inc, Ostu, Shiga, Japan).
Statistical methods
The numerical values are reported using the mean ± SD. P-values were calculated by the means of an unpaired Student’s
t-test using the GraphPad QuickCalcs online software (
http://www.graphpad.com/quickcalcs/ttest1.cfm). P < 0.05 were considered statistically significant.
Discussion
TP53 is a highly mutated tumor suppressor gene in human cancers and is known for its regulation of cell cycle and apoptosis initiation [
18]. Clinically, mutant p53 is used to predict chemoresistance in some types of cancer. In fact, mutant p53 gain-of-function leads to the development of various chemoresistance mechanisms, such as DNA repair upregulation, enhanced drug efflux and metabolism, and apoptosis inhibition [
19]. In both early and advanced stage serous ovarian cancers, TP53 mutations are detected in 60–70% of the cases [
20,
21]. These mutations increase the risk of metastasis [
22], correlate with resistance to platinum-based chemotherapy [
7] and decrease the overall survival rates and progression-free survival [
23]. Knowing that approximately 80% of the mutations are clustered in the region coding for the highly conserved DNA binding domain of the gene (exon 5–8), a majority of the hotspot mutants studied, such as R175H, R248W, R249S and R273C, belong to this specific region [
24]. Interestingly, one hotspot mutation, affecting exon 4 of the TP53 gene, contributes to an increased risk of diabetes, obesity and metabolic dysfunction [
25]. Combining these facts together, we investigated the prevalence and location of TP53 mutations and the effect of two hotspot mutations, P72R and R249S, on the protein’s activity as a transcription factor, apoptosis activator and glucose metabolism regulator. Our study analyzed a cohort of 30 ovarian carcinomas exhibiting TP53 sequence alterations and considered two main issues related to p53, including the expression of the protein by immunohistochemistry on paraffin-embedded tissues and the frequency of the mutations throughout the entire coding region of the gene by PCR-SSCP and sequencing. In our study, the proline rich domain, and more specifically exon 4, exhibited a higher mutation percentage (69%), which does not correlate with previous finding. In fact, a majority of the studies dealing with TP53 mutations restricted their investigations to the core domain of the gene, which might cause a misinterpretation of the results in the case of undetected mutations in other regions of the gene. The overexpression of p53, detected by IHC and qPCR, was mainly caused by TP53 mutations, which correlates with the results obtained by Yemelyanova et al, stating that the immunohistochemical pattern of p53 in tumors is a predictor of TP53 mutations [
26].
P53 is the key regulator of the transcription of various genes. For example, P21 gene expression is directly activated by p53 by its recruitment to the promoter region [
27]. MDM2 is also linked to p53 by an auto-regulatory negative feedback loop [
28]. In this study, we investigated the effect of the two p53 mutants on the protein’s transcriptional activity by quantifying the expression of p21 and MDM2. The results obtained clearly showed a downregulation of the expression of both genes when the mutation affected the core domain of the protein. In fact, the R249S mutant protein undergoes distortion in its DNA binding domain [
29], which may prevent it from binding to its appropriate site in the promoter region. The increase in the expression of p21 and MDM2 observed in the tumors with the proline rich domain mutation might be caused by the overexpression of p53. In fact, since the alteration does not affect the core domain of the protein, its transcriptional activity might be unaltered, which explains the observed overexpression of both of the target genes.
Despite its activity as gene expression regulator, p53 plays a key role in apoptosis initiation. To study the effect of both mutations on the ability of the protein to affect cellular viability and apoptosis induction, the p53-null Sk-Ov-3 cell line was transfected with both p53 mutants. The results clearly show a decrease in the viability of the transfected cells after 48 and 72 h of transfection, but there was no significant difference between the mutant types. Surprisingly, the mutation affecting codon 72 located in the proline rich domain did not contribute to a significant decrease in the apoptotic activity of p53. This may be explained by the results obtained by Thomas et al, stating that mutant P72R p53 is structurally wild type and exhibits the same affinity for a wide range of p53 DNA recognition sequences [
30].
Recent studies have investigated the role of the p53 protein in the regulation of glucose metabolism. In fact, in the presence of WTp53, glucose transport decreases through the plasma membrane, and the expression of some glycolytic enzymes drops, which leads to a reduction in glucose consumption [
31]. In addition, knowing that most of the pyruvate produced by glycolysis is converted into lactate instead of undergoing oxidation by the mitochondria in cancer cells, glucose consumption and lactate production vary proportionally [
32]. Our results show a significant increase in glucose consumption and lactate production by the Sk-Ov-3 cells, and this may be due to the absence of p53 expression. The slight decrease in both concentrations observed in tumor 11 and 15 with the exon 4 mutation may be caused by the overexpression of the p53 protein, and in contrary, tumor 9 exhibited an increase in glucose and lactate concentration, which is probably caused by the mutation in the DNA binding domain of the p53 protein. The same aspect was observed when the Sk-Ov-3 cells were transfected with the three forms of p53. In fact, the decrease observed in both WT and P72R p53 might be triggered by the functional core domain of the protein, which inhibits the enzymes in the glycolytic pathway. To investigate the main reason behind this metabolic change, we investigated the effect of WT and mutant p53 on the expression of some glycolytic enzymes. The results displayed a significant increase in the p53-downregulated enzymes in the cell lines and tumors with an absent or DNA binding domain mutant p53, which was mainly caused by the lack of p53 activity in both cases. In contrast, the transfection of the cells with WT or P72R p53 produced an increase in the p53-upregulated enzymes, such as TIGAR and PDHa, which are the main inhibitors of glycolysis regulated by p53. This upregulation, coupled with the decreased glucose transporter expression, explains the decrease observed in glucose consumption and lactate production in these cells. These results might suggest that patients exhibiting the P72R mutation are less prone to develop metastasis due to the lower lactate production levels, which could lead to a better prognosis.
Conclusion
In conclusion, our study demonstrates, for the first time, that p53 overexpression in ovarian cancer can be interpreted differently depending on the locus of the mutation affecting TP53. In fact, although P72R mutant exhibits the same features as WTp53 in its transcriptional activity, apoptosis induction ability and glucose metabolism regulation, this type of mutation contributes to p53 overexpression in tumor cells. Knowing that this overexpression is a marker of poor prognosis for ovarian cancer, the locus of the mutation causing this overexpression should be further investigated for proper interpretation of the routine immunohistochemistry results performed on ovarian cancer biopsies.
Authors’ contribution
SA performed the majority of the technical work, participated in the design of the project, in addition to writing the paper. DA participated in the design of the project and the manuscript, provided the human tissue and the clinical data. RT supervised and participated in the technical work and data analysis. NA supervised the statistical analysis. MM provided the patients’ clinical data. AK performed the immunohistochemistry analysis and interpretation. EA and GH participated in the clinical interpretation of the obtained results. GH designed the work, provided directions and insight, and edited the manuscript. All authors read and approved the final manuscript.