Skip to main content
Oncology Letters logoLink to Oncology Letters
. 2020 Dec 31;21(2):162. doi: 10.3892/ol.2020.12423

PRMT1 expression predicts sensitivity to platinum-based chemotherapy in patients with ovarian serous carcinoma

Hiroaki Matsubara 1, Takeshi Fukuda 1,, Yuichiro Awazu 1, Shigenori Nanno 1, Masahiro Shimomura 1, Yuta Inoue 1, Makoto Yamauchi 1, Tomoyo Yasui 1, Toshiyuki Sumi 1
PMCID: PMC7798098  PMID: 33552280

Abstract

Patients with ovarian serous carcinoma are generally diagnosed at an advanced disease stage. The standard treatment for these patients is maximal debulking surgery followed by platinum-taxane combination chemotherapy. Despite initially responding well, more than half of patients become refractory to first-line chemotherapy. Upregulation of protein arginine methyltransferase 1 (PRMT1) expression has been demonstrated to methylate apoptosis signal-regulated kinase 1 and inhibit its activity, thereby contributing to chemoresistance. The present study investigated the association between PRMT1 expression and sensitivity to platinum-based chemotherapy in 51 patients with ovarian serous carcinoma (International Federation of Gynecology and Obstetrics stages III and IV), and the effect of RNA interference-mediated downregulation of PRMT1 on the sensitivity of ovarian cancer cells to cisplatin and carboplatin in vitro. Immunohistochemistry of tumor specimens was used to compare the expression levels of PRMT1, a Cell Counting Kit-8 assay and small interfering RNA transfection were performed for chemosensitivity assays, and reverse transcription-quantitative PCR was used to examine PRMT1 mRNA expression. Patients were divided into platinum-sensitive (n=26) and platinum-resistant (n=25) groups. PRMT1 expression was significantly lower in the platinum-sensitive group than in the platinum-resistant group (P=0.019). When patients were categorized according to PRMT1 expression, those in the low PRMT1 expression group were more sensitive to platinum-based chemotherapy than those in the high PRMT1 expression group (P=0.01). Additionally, in vitro experiments revealed that suppression of PRMT1 expression by siRNA significantly increased the sensitivity of human ovarian serous carcinoma cells to cisplatin and carboplatin (P<0.05). In conclusion, PRMT1 expression could predict sensitivity to platinum-based chemotherapy in patients with ovarian serous carcinoma.

Keywords: ovarian serous carcinoma, protein arginine methyltransferase 1, chemotherapy, cisplatin, carboplatin, predictive marker

Introduction

Ovarian serous carcinoma has the highest mortality among the gynecological cancers (1,2). In general, patients with malignant ovarian tumors are diagnosed at an advanced stage (stage III or IV) because of the initial lack of specific symptoms or biomarkers (3). The standard treatment for advanced ovarian serous carcinoma is maximal debulking surgery followed by platinum-taxane combination chemotherapy (4). Despite a good initial response to chemotherapy, many patients become resistant to first-line drugs and the prognosis for these individuals is particularly poor (5). The effect of re-treatment with platinum-based chemotherapy at the time of relapse depends on the duration of platinum non-use, which is defined as the time between last platinum administration and relapse (6). If the duration between last platinum administration and recurrence is less than 6 months, the cancer is defined as platinum-resistant, and if it is longer than 6 months, it is defined as platinum-sensitive (7).

Sensitivity to platinum-based chemotherapy is one of the major prognostic factors for ovarian serous carcinoma (8), and prediction of platinum sensitivity is therefore of great importance for the development of treatment strategies for patients with this disease. Unfortunately, however, no effective methods currently exist to predict platinum sensitivity in ovarian serous carcinoma. Effective prediction of platinum-sensitivity would enable the selection of only those patients who represent good candidates for platinum treatment, while sparing resistant patients the adverse side-effects associated with these drugs. Therefore, it is important to identify specific biomarkers that predict platinum sensitivity to improve patient prognosis in ovarian serous carcinoma.

Protein arginine methyltransferase 1 (PRMT1) is the major arginine methyltransferase in mammalian cells and is required for normal embryonic development, cell cycle progression, cell viability, and signaling (912). PRMT1 has also been reported to be a driver of tumorigenesis and tumor progression (13), and to contribute to chemotherapy resistance by methylating apoptosis signal-regulated kinase 1 (ASK1) (14).

In this study, we evaluated the association between PRMT1 expression and sensitivity to platinum-based chemotherapy in ovarian serous carcinoma. Our aim was to identify new biomarkers and explore new treatment options to improve the prognosis of patients with platinum-resistant disease.

Materials and methods

Patients and samples

We reviewed 51 cases of stage III or IV serous ovarian cancer in patients aged 75 and under treated at the Osaka City University Hospital between January 2005 and December 2013. Patients were assigned to one of two groups according to their platinum sensitivity. Patients assigned to the platinum-sensitive group (n=26) had received chemotherapy with platinum after maximal tumor debulking surgery and had no tumor recurrence within 6 months of the date of the last platinum dose. Patients assigned to the platinum-resistant group (n=25) had received platinum-based chemotherapy after maximal debulking surgery and had tumor recurrence within 6 months of the date of the last platinum dose. The study was approved by the Institutional Review Board (IRB) of Osaka City University Hospital after written informed consent was obtained from all patients prior to treatment (IRB no. 4247).

Immunohistochemistry

PRMT1 expression in ovarian serous carcinoma specimens was determined by immunohistochemical analysis of paraffin-embedded tissue sections using the Dako LSAB2 peroxidase kit (cat. no. K0675; Agilent Technologies, Inc.). Four-micron-thick tissue sections were deparaffinized, rehydrated, and soaked in 3% hydrogen peroxide for 10 min at room temperature to block endogenous peroxidase activity. Antigen retrieval was performed by autoclaving sections in 10 mM citrate buffer (pH 6.0) at 110°C for 20 min. After washing with phosphate-buffered saline (PBS), sections were incubated overnight at 4°C in a 1:100 dilution of rabbit polyclonal antibody against PRMT1 (cat. no. ab-70724; Abcam). Sections were washed with PBS for 15 min and incubated with biotinylated goat IgG secondary antibody (Dako; Agilent Technologies, Inc.) for 10 min. Additional sections were incubated with streptavidin-peroxidase complexes and 3,3′-diaminobenzidine was used as a chromogen. Finally, all sections were stained with hematoxylin. As a control, primary antibodies were omitted to examine the specificity of the immunohistochemical reaction.

PRMT1 expression scoring was calculated by multiplying the percentage score of positive tumor cells by the staining intensity score using the weighted scores method of Sinicrope et al (15). The percentage score of positive tumor cells was defined as follows: 0 (<5%), 1 (5-25%), 2 (25-50%), 3 (50-75%), and 4 (>75%). The staining intensity was scored as follows: 0 (no staining), 1 (weak staining), 2 (moderate staining), or 3 (strong staining).

Cell culture

The human ovarian serous carcinoma cell line OVSAHO (cat. no. JCRB1046; National Institute of Biomedical Sciences) was cultured in RPMI medium (Gibco; Thermo Fisher Scientific, Inc.), supplemented with 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.), penicillin (100 U/ml) and streptomycin (100 U/ml), and the medium was changed every other day. Cell cultures were maintained at 37°C in a humidified incubator containing a 5% CO2 atmosphere. After collection, cells were stored at −80°C for subsequent analysis by reverse transcription-quantitative PCR (RT-qPCR).

Chemosensitivity assay and siRNA transfection

OVSAHO cells were seeded in 96-well plates at 3,000 cells per well and divided into groups that were transfected with or without PRMT1-specific siRNA (siPRMT1). Transfection was performed using Lipofectamine RNAiMax (Invitrogen; Thermo Fisher Scientific, Inc.).

The siPRMT1 sense sequence was 5′-GCAACUCCAUGUUUCAUAAtt-3′, and the antisense sequence was 5′-UUAUGAAACAUGGAGUUGCgg-3′. After 24 h of culture in the presence or absence of siPRMT1, cell cultures received fresh medium containing cisplatin at concentrations of 0, 5.0, 10, or 50 µM, or carboplatin at concentrations of 0, 50, 100, or 150 µM, and then cultured for an additional 48 h. To confirm cell viability, 10 µl of CCK-8 and 100 µl of RPMI were added to each well using the Cell Counting kit-8 (CCK-8; Dojindo Molecular Technologies, Inc.). The plate was then incubated at 37°C for 2 h and the absorbance subsequently measured at 450 nm using a microplate reader (Corona Electric Co., Ltd.). Dose-response curves were prepared to determine the percentage of viable cells relative to the untreated control.

RT-qPCR

Total RNA was extracted from OVSAHO cells using the RNeasy Mini kit (QIAGEN GmbH). RNA was reverse-transcribed using the High Capacity cDNA Reverse Transcription kit (Thermo Fisher Scientific, Inc.) and PRMT1 mRNA expression was determined using the TaqMan Gene Expression Assay and an ABI 7500 Fast Real-Time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc.). mRNA levels were normalized to those of the GAPDH house-keeping control. The TaqMan PRMT1 (Hs01587651_g1) and GAPDH (Hs99999905_m1) assays were used for RT-qPCR assays (Thermo Fisher Scientific, Inc.). The 2−ΔΔCq method was used to analyze the relative changes in gene expression for RT-qPCR experiments (16).

Statistical analysis

Data are presented as means ± standard deviation in the tables and means ± standard error in the figures. Prognosis was assessed by Kaplan-Meier and log-rank analysis. Weighted scores were analyzed using the Mann-Whitney test and the receiver operating characteristic (ROC) curve. The Student's t-test was used to assess the significance of the difference between the mean values of the two groups and the χ2 test or Fisher's exact test was used appropriately to identify significant associations between the categorical variables of the two groups. Analyses were performed with EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan). A P value <0.05 was considered as statistically significant.

Results

Patient characteristics

When the association between age, FIGO stage, CA125 level, and postoperative residual disease was examined, only the size of postoperative residual disease was significantly higher in the platinum-resistant group (P=0.005; Table I).

Table I.

Patient characteristics for the platinum-sensitive and platinum-resistant groups.

Variable Platinum-sensitive group Platinum-resistant group P-value
No. of cases 26 25
Age, years (mean ± SD) 60.4±11.7 58.5±8.6 0.521a
FIGO stage, n 0.418b
  IIIA   1   0
  IIIB   3   1
  IIIC 20 18
  IVA   1   3
  IVB   1   3
Tumor marker CA125, U/ml (mean) 3,467.6 2,057.4 0.309a
Postoperative residual disease, n 0.005b
  None   5   0
  ≤1 cm   8   2
  >1 cm 13 23
a

Student's t-test

b

Fisher's exact test. CA125, cancer antigen 125; FIGO, International Federation of Gynecology and Obstetrics.

Expression of PRMT1 in ovarian serous carcinoma tissue. Fig. 1 shows PRMT1 expression in cancer tissues, the weighted scores for the platinum-sensitive and resistant groups and the ROC curve for determining the PRMT1 score cut-off to evaluate the sensitivity to platinum-based chemotherapy. The weighted score for PRMT1 expression in the platinum-resistant group was significantly higher than that obtained for the platinum-sensitive group (P=0.019). From the ROC curve, the cut-off value was set to 3, with a specificity of 68.0% and a sensitivity of 69.2%. Based on this cut-off value, cases were assigned to either a low PRMT1 expression group (weighted score ≤3, n=26) or a high PRMT1 expression (weighted score ≥4, n=25), according to their weighted score. There were no significant differences in age, stage, CA125 value, and postoperative residual lesion between the low PRMT1 expression and high PRMT1 expression groups (Table II).

Figure 1.

Figure 1.

Immunohistochemical analysis of PRMT1 expression in ovarian serous carcinoma. (A) Negative control (no primary antibody). Tissue sections assigned scores of (B) 6 and (C) 12, following labeling with primary antibody against PRMT1. Scale bars, 100 µm. (D) Weighted score for PRMT1 expression in cancerous samples. PRMT1 expression was significantly higher in the platinum-resistant group than in the platinum-sensitive group. *P=0.019 (Mann-Whitney U test). (E) Receiver operating characteristic curve for determining the PRMT1 score cut-off to evaluate the sensitivity to platinum-based chemotherapy. Using a cutoff value of 3, the specificity was 68.0%, and the sensitivity was 69.2%. The area under the curve was 0.689 and the 95% confidence interval was 0.540-0.838. PRMT1, protein arginine methyltransferase 1.

Table II.

Characteristics of the patients in the low and high PRMT1 expression groups.

Variable Low PRMT1 (≤3) group High PRMT1 (≥4) group P-value
No. of cases 26 25
Age, years (mean ± SD) 62.3±9.2 56.5±10.7 0.488a
FIGO stage, n 0.945b
  IIIA   0   1
  IIIB   2   2
  IIIC 19 19
  IVA   2   2
  IVB   3   1
Tumor marker CA125, U/ml (mean) 3,799.7 1,712.0 0.129a
Postoperative residual disease, n 0.068b
  None   4   1
  ≤1 cm   6   4
  >1 cm 16 20
a

Student's t-test

b

Fisher's exact test. CA125, cancer antigen 125; FIGO, International Federation of Gynecology and Obstetrics; PRMT1, protein arginine methyltransferase 1.

Association of platinum sensitivity with PRMT1 expression

The proportion of patients sensitive to platinum-based chemotherapy was significantly higher in the low PRMT1 expression group, when compared with the high PRMT1 expression group (P=0.01, Table III). In the low PRMT1 expression group, 18 (69.2%) cases were platinum-sensitive and 8 (30.8%) cases were platinum-resistant; in the high PRMT1 expression group, 8 (32.0%) cases were platinum-sensitive and 17 (68.0%) cases were platinum-resistant.

Table III.

Numbers of patients with low and high PRMT1 expression in the platinum-sensitive and platinum-resistant groups.

PRMT1 expression Platinum-sensitive, n (%) Platinum-resistant, n (%) P-value
Low, ≤3 18 (69.2)   8 (30.8) 0.012a
High, ≥4   8 (32.0) 17 (68.0)
a

χ2 test. PRMT1, protein arginine methyltransferase 1.

Survival

Overall survival (OS) was significantly longer for patients of the low PRMT1 expression group than for patients of the high PRMT1 expression group (P=0.031, Fig. 2).

Figure 2.

Figure 2.

Overall survival for patients in the low and high PRMT1 expression groups. P=0.031 (Kaplan-Meier and log-rank test). PRMT1, protein arginine methyltransferase 1.

siRNA-mediated silencing of PRMT1 expression enhances the sensitivity of ovarian carcinoma cells to platinum-based therapy

PRMT1 mRNA expression in OVSAHO cells was suppressed 48 h after transfection with siPRMT1, and cells transfected with siPRMT1 were significantly more sensitive to cisplatin or carboplatin (Fig. 3).

Figure 3.

Figure 3.

Effects of inhibition of PRMT1 expression on OVSAHO ovarian serous cancer cell sensitivity to platinum-based chemotherapeutic agents. (A) PRMT1 mRNA expression was significantly decreased following transfection with PRMT1-targeting siRNA. *P<0.05 (Student's t-test). PRMT1 mRNA levels were normalized to those of GAPDH. (B) Sensitivity of OVSAHO cells to cisplatin in the presence or absence of an siRNA specific for PRMT1. *P<0.05 (Student's t-test). (C) Sensitivity of OVSAHO cells to carboplatin in the presence or absence of an siRNA specific for PRMT1. *P<0.05 (Studen's t-test). PRMT1, protein arginine methyltransferase 1; siRNA, small interfering RNA.

Discussion

Effective treatment for serous ovarian cancer remains a major challenge because of platinum-resistant recurrence. It has been suggested that mechanisms of platinum-resistance may involve decreased cellular import and increased cellular export of the drug by transporter proteins, intracellular drug inactivation by detoxifying enzymes, enhanced DNA damage repair, and inactivation of cell death signaling. In platinum-resistant tumor cells, multiple mechanisms may be involved simultaneously (1719).

Arginine methylation is a major regulator of protein function in mammalian cells (9). PRMT1 represents the major arginine methyltransferase in mammalian cells and is required for normal embryonic development, cell division and cell viability (912). PRMT1 is involved in signaling pathways that regulate DNA damage, mRNA translation, cell cycle progression, apoptosis, and genes transcription (2024).

PRMT1 has been implicated in the development and progression of a variety of diseases, including cancer, cardiovascular disease, diabetes, and fat production in the liver (2529). There are several reports regarding PRMT1 expression or involvement in a variety of cancers, including colorectal, breast, lung, bladder, liver, esophageal and head and neck cancers (13,3035).

PRMT1 has been shown to methylate cytoplasmic proteins involved in the regulation of apoptotic signaling. It is also associated with cell cycle arrest during the G0/G1 phase. In addition, PRMT1 has been shown to methylate ASK1 and inhibit its activity (36). Studies have also shown that knockdown of PRMT1 promotes a PI3K-Akt signaling pathway-dependent suppression of oxidative stress-induced apoptosis, and that inhibition of PRMT1 attenuates activation of the NF-κB pathway, making cells more susceptible to chemotherapeutic agents (37,38).

In this study, OS was significantly longer in the low PRMT1 expression group, when compared with the high PRMT1 expression group. siRNA-mediated suppression of PRMT1 expression increased the sensitivity of OVSAHO cells to cisplatin and carboplatin. Overexpression of PRMT1 may inhibit cell death by inhibiting the activation of ASK1, thereby reducing the effects of chemotherapy. Despite studies showing an association between PRMT1 expression and poor cancer prognosis, the mechanism by which PRMT1 induces resistance to chemotherapy remains unclear. Although our study included only 51 cases, the clinical data suggest that PRMT1 expression may be a prognostic factor for poor outcome in serous ovarian cancer. More studies which includes elucidating the mechanism of ASK1 are now needed to confirm the role of PRMT1 as a prognostic marker in serous ovarian cancer. To this end, ASK1 is known to be methylated and inhibited the activity by PRMT1, therefore we are planning the experiment to elucidate the enhanced apoptosis induced by carboplatin or cisplatin when ASK1 is depleted by RNAi resulting in higher sensitivity to those chemotherapeutic agents.

In conclusion, our data suggest that PRMT1 expression may be a predictive marker of the efficacy of platinum-based chemotherapy in patients with serous ovarian cancer. To our knowledge, this is the first report of an association between PRMT1 expression and platinum sensitivity, and these findings should facilitate future studies that aim to improve the prognosis of patients with serous ovarian cancer.

Acknowledgements

The authors would like to thank Dr Mary Derry and Dr James Monypenny for editing a draft of this manuscript.

Funding

The present study was supported by The Osaka Medical Research Foundation for Intractable Diseases (grant no. 26-2-47).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

TF and TS designed the current study. TF and HM assessed the authenticity of all the raw data. HM, YI, SN, YA, MS and MY performed the experiments and collected the data. TF, HM, TY and TS analyzed the data. TF and HM wrote the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The present study was approved by the Institutional Review Board of Osaka City University Hospital (IRB no. 4247; Osaka, Japan) before initiation of the study. Written informed consent was obtained from all patients.

Patient consent for publication

Patient consent for publication was not obtained. However, the data included in the present study does not compromise anonymity or confidentiality or breach local data protection laws.

Competing interests

The authors declare that they have no competing interests.

References

  • 1.Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. doi: 10.3322/caac.20107. [DOI] [PubMed] [Google Scholar]
  • 2.Borley J, Wilhelm-Benartzi C, Brown R, Ghaem-Maghami S. Does tumour biology determine surgical success in the treatment of epithelial ovarian cancer? A systematic literature review. Br J Cancer. 2012;107:1069–1074. doi: 10.1038/bjc.2012.376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.du Bois A, Quinn M, Thigpen T, Vermorken J, Avall-Lundqvist E, Bookman M, Bowtell D, Brady M, Casado A, Cervantes A, et al. Gynecologic Cancer Intergroup, AGO-OVAR, ANZGOG, EORTC, GEICO, GINECO, GOG, JGOG, MRC/NCRI, NCIC-CTG, NCI-US, NSGO, RTOG, SGCTG, IGCS, Organizational team of the two prior International OCCC 2004 consensus statements on the management of ovarian cancer: Final document of the 3rd International Gynecologic Cancer Intergroup Ovarian Cancer Consensus Conference (GCIG OCCC 2004) Ann Oncol. 2005;16(Suppl 8):viii7–viii12. doi: 10.1093/annonc/mdi961. [DOI] [PubMed] [Google Scholar]
  • 4.Japan Society of Gynecologic Oncology, corp-author. [Sep 1;2017 ]. Formulation committee of the treatment guidelines for ovarian. [Google Scholar]
  • 5.Ozols RF, Bundy BN, Greer BE, Fowler JM, Clarke-Pearson D, Burger RA, Mannel RS, DeGeest K, Hartenbach EM, Baergen R, Gynecologic Oncology Group Phase III trial of carboplatin and paclitaxel compared with cisplatin and paclitaxel in patients with optimally resected stage III ovarian cancer: A Gynecologic Oncology Group study. J Clin Oncol. 2003;21:3194–3200. doi: 10.1200/JCO.2003.02.153. [DOI] [PubMed] [Google Scholar]
  • 6.Friedlander M, Trimble E, Tinker A, Alberts D, Avall-Lundqvist E, Brady M, Harter P, Pignata S, Pujade-Lauraine E, Sehouli J, et al. Gynecologic Cancer InterGroup Clinical trials in recurrent ovarian cancer. Int J Gynecol Cancer. 2011;21:771–775. doi: 10.1097/IGC.0b013e31821bb8aa. [DOI] [PubMed] [Google Scholar]
  • 7.Markman M, Rothman R, Hakes T, Reichman B, Hoskins W, Rubin S, Jones W, Almadrones L, Lewis JL., Jr Second-line platinum therapy in patients with ovarian cancer previously treated with cisplatin. J Clin Oncol. 1991;9:389–393. doi: 10.1200/JCO.1991.9.3.389. [DOI] [PubMed] [Google Scholar]
  • 8.Kyrgiou M, Salanti G, Pavlidis N, Paraskevaidis E, Ioannidis JP. Survival benefits with diverse chemotherapy regimens for ovarian cancer: Meta-analysis of multiple treatments. J Natl Cancer Inst. 2006;98:1655–1663. doi: 10.1093/jnci/djj443. [DOI] [PubMed] [Google Scholar]
  • 9.Spriggs KA, Bushell M, Willis AE. Translational regulation of gene expression during conditions of cell stress. Mol Cell. 2010;40:228–237. doi: 10.1016/j.molcel.2010.09.028. [DOI] [PubMed] [Google Scholar]
  • 10.Truitt ML, Ruggero D. New frontiers in translational control of the cancer genome. Nat Rev Cancer. 2016;16:288–304. doi: 10.1038/nrc.2016.27. Erratum in: Nat Rev Cancer 17: 332, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Marcel V, Catez F, Diaz JJ. p53, a translational regulator: Contribution to its tumour-suppressor activity. Oncogene. 2015;34:5513–5523. doi: 10.1038/onc.2015.25. [DOI] [PubMed] [Google Scholar]
  • 12.Wooderchak WL, Zang T, Zhou ZS, Acuña M, Tahara SM, Hevel JM. Substrate profiling of PRMT1 reveals amino acid sequences that extend beyond the ‘RGG’ paradigm. Biochemistry. 2008;47:9456–9466. doi: 10.1021/bi800984s. [DOI] [PubMed] [Google Scholar]
  • 13.Yoshimatsu M, Toyokawa G, Hayami S, Unoki M, Tsunoda T, Field HI, Kelly JD, Neal DE, Maehara Y, Ponder BA, et al. Dysregulation of PRMT1 and PRMT6, type I arginine methyltransferases, is involved in various types of human cancers. Int J Cancer. 2011;128:562–573. doi: 10.1002/ijc.25366. [DOI] [PubMed] [Google Scholar]
  • 14.Hirata Y, Katagiri K, Nagaoka K, Morishita T, Kudoh Y, Hatta T, Naguro I, Kano K, Udagawa T, Natsume T, et al. TRIM48 promotes ASK1 activation and cell death through ubiquitination-dependent degradation of the ASK1-negative regulator PRMT1. Cell Rep. 2017;21:2447–2457. doi: 10.1016/j.celrep.2017.11.007. [DOI] [PubMed] [Google Scholar]
  • 15.Sinicrope FA, Ruan SB, Cleary KR, Stephens LC, Lee JJ, Levin B. bcl-2 and p53 oncoprotein expression during colorectal tumorigenesis. Cancer Res. 1995;55:237–241. [PubMed] [Google Scholar]
  • 16.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
  • 17.Dasari S, Tchounwou PB. Cisplatin in cancer therapy: Molecular mechanisms of action. Eur J Pharmacol. 2014;740:364–378. doi: 10.1016/j.ejphar.2014.07.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ghosh Cisplatin S. The first metal based anticancer drug. Bioorg Chem. 2019;88:102925. doi: 10.1016/j.bioorg.2019.102925. [DOI] [PubMed] [Google Scholar]
  • 19.Amable L. Cisplatin resistance and opportunities for precision medicine. Pharmacol Res. 2016;106:27–36. doi: 10.1016/j.phrs.2016.01.001. [DOI] [PubMed] [Google Scholar]
  • 20.Infantino S, Benz B, Waldmann T, Jung M, Schneider R, Reth M. Arginine methylation of the B cell antigen receptor promotes differentiation. J Exp Med. 2010;207:711–719. doi: 10.1084/jem.20091303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Sakamaki J, Daitoku H, Ueno K, Hagiwara A, Yamagata K, Fukamizu A. Arginine methylation of BCL-2 antagonist of cell death (BAD) counteracts its phosphorylation and inactivation by Akt. Proc Natl Acad Sci USA. 2011;108:6085–6090. doi: 10.1073/pnas.1015328108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yu Z, Chen T, Hébert J, Li E, Richard S. A mouse PRMT1 null allele defines an essential role for arginine methylation in genome maintenance and cell proliferation. Mol Cell Biol. 2009;29:2982–2996. doi: 10.1128/MCB.00042-09. Erratum in: Mol Cell Biol 37: e00298-17, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Dominguez-Sola D, Kung J, Holmes AB, Wells VA, Mo T, Basso K, Dalla-Favera R. The FOXO1 transcription factor instructs the germinal center dark zone program. Immunity. 2015;43:1064–1074. doi: 10.1016/j.immuni.2015.10.015. [DOI] [PubMed] [Google Scholar]
  • 24.Kuhn P, Chumanov R, Wang Y, Ge Y, Burgess RR, Xu W. Automethylation of CARM1 allows coupling of transcription and mRNA splicing. Nucleic Acids Res. 2011;39:2717–2726. doi: 10.1093/nar/gkq1246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kim DI, Park MJ, Choi JH, Kim IS, Han HJ, Yoon KC, Park SW, Lee MY, Oh KS, Park SH. PRMT1 and PRMT4 regulate oxidative stress-induced retinal pigment epithelial cell damage in SIRT1-dependent and SIRT1-independent manners. Oxid Med Cell Longev. 2015;2015:617919. doi: 10.1155/2015/617919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Mathioudaki K, Papadokostopoulou A, Scorilas A, Xynopoulos D, Agnanti N, Talieri M. The PRMT1 gene expression pattern in colon cancer. Br J Cancer. 2008;99:2094–2099. doi: 10.1038/sj.bjc.6604807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Park MJ, Kim DI, Lim SK, Choi JH, Kim JC, Yoon KC, Lee JB, Lee JH, Han HJ, Choi IP, et al. Thioredoxin-interacting protein mediates hepatic lipogenesis and inflammation via PRMT1 and PGC-1α regulation in vitro and in vivo. J Hepatol. 2014;61:1151–1157. doi: 10.1016/j.jhep.2014.06.032. [DOI] [PubMed] [Google Scholar]
  • 28.Siroen MP, Teerlink T, Nijveldt RJ, Prins HA, Richir MC, van Leeuwen PA. The clinical significance of asymmetric dimethylarginine. Annu Rev Nutr. 2006;26:203–228. doi: 10.1146/annurev.nutr.26.061505.111320. [DOI] [PubMed] [Google Scholar]
  • 29.Sydow K, Mondon CE, Cooke JP. Insulin resistance: Potential role of the endogenous nitric oxide synthase inhibitor ADMA. Vasc Med. 2005;10(Suppl 1):S35–S43. doi: 10.1191/1358863x05vm604oa. [DOI] [PubMed] [Google Scholar]
  • 30.Li B, Liu L, Li X, Wu L. miR-503 suppresses metastasis of hepatocellular carcinoma cell by targeting PRMT1. Biochem Biophys Res Commun. 2015;464:982–987. doi: 10.1016/j.bbrc.2015.06.169. [DOI] [PubMed] [Google Scholar]
  • 31.Zhou W, Yue H, Li C, Chen H, Yuan Y. Protein arginine methyltransferase 1 promoted the growth and migration of cancer cells in esophageal squamous cell carcinoma. Tumour Biol. 2016;37:2613–2619. doi: 10.1007/s13277-015-4098-3. [DOI] [PubMed] [Google Scholar]
  • 32.Chuang CY, Chang CP, Lee YJ, Lin WL, Chang WW, Wu JS, Cheng YW, Lee H, Li C. PRMT1 expression is elevated in head and neck cancer and inhibition of protein arginine methylation by adenosine dialdehyde or PRMT1 knockdown downregulates proliferation and migration of oral cancer cells. Oncol Rep. 2017;38:1115–1123. doi: 10.3892/or.2017.5737. [DOI] [PubMed] [Google Scholar]
  • 33.Avasarala S, Van Scoyk M, Karuppusamy Rathinam MK, Zerayesus S, Zhao X, Zhang W, Pergande MR, Borgia JA, DeGregori J, Port JD, et al. PRMT1 is a novel regulator of epithelial-mesenchymal-transition in non-small cell lung cancer. J Biol Chem. 2015;290:13479–13489. doi: 10.1074/jbc.M114.636050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Baldwin RM, Bejide M, Trinkle-Mulcahy L, Côté J. Identification of the PRMT1v1 and PRMT1v2 specific interactomes by quantitative mass spectrometry in breast cancer cells. Proteomics. 2015;15:2187–2197. doi: 10.1002/pmic.201400209. [DOI] [PubMed] [Google Scholar]
  • 35.Papadokostopoulou A, Mathioudaki K, Scorilas A, Xynopoulos D, Ardavanis A, Kouroumalis E, Talieri M. Colon cancer and protein arginine methyltransferase 1 gene expression. Anticancer Res. 2009;29:1361–1366. [PubMed] [Google Scholar]
  • 36.Cho JH, Lee MK, Yoon KW, Lee J, Cho SG, Choi EJ. Arginine methylation-dependent regulation of ASK1 signaling by PRMT1. Cell Death Differ. 2012;19:859–870. doi: 10.1038/cdd.2011.168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Baldwin RM, Morettin A, Côté J. Role of PRMTs in cancer: Could minor isoforms be leaving a mark? World J Biol Chem. 2014;5:115–129. doi: 10.4331/wjbc.v5.i2.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Musiani D, Giambruno R, Massignani E, Ippolito MR, Maniaci M, Jammula S, Manganaro D, Cuomo A, Nicosia L, Pasini D, Bonaldi T. PRMT1 is recruited via DNA-PK to chromatin where it sustains the senescence-associated secretory phenotype in response to cisplatin. Cell Rep. 2020;30:1208–1222.e9. doi: 10.1016/j.celrep.2019.12.061. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


Articles from Oncology Letters are provided here courtesy of Spandidos Publications

RESOURCES