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PLOS One logoLink to PLOS One
. 2021 Jun 10;16(6):e0252917. doi: 10.1371/journal.pone.0252917

Cytoplasmic RRM1 activation as an acute response to gemcitabine treatment is involved in drug resistance of pancreatic cancer cells

Tomotaka Kato 1,#, Hiroaki Ono 1,*,#, Mikiya Fujii 1, Keiichi Akahoshi 1, Toshiro Ogura 1, Kosuke Ogawa 1, Daisuke Ban 1, Atsushi Kudo 1, Shinji Tanaka 2, Minoru Tanabe 1
Editor: Irina V Lebedeva3
PMCID: PMC8191885  PMID: 34111175

Abstract

Background

RRM1 is functionally associated with DNA replication and DNA damage repair. However, the biological activity of RRM1 in pancreatic cancer remains undetermined.

Methods

To determine relationships between RRM1 expression and the prognosis of pancreatic cancer, and to explore RRM1 function in cancer biology, we investigated RRM1 expression levels in 121 pancreatic cancer patients by immunohistochemical staining and performed in vitro experiments to analyze the functional consequences of RRM1 expression.

Results

Patients with high RRM1 expression had significantly poorer clinical outcomes (overall survival; p = 0.006, disease-free survival; p = 0.0491). In particular, high RRM1 expression was also associated with poorer overall survival on adjuvant chemotherapy (p = 0.008). We found that RRM1 expression was increased 24 hours after exposure to gemcitabine and could be suppressed by histone acetyltransferase inhibition. RRM1 activation in response to gemcitabine exposure was induced mainly in the cytoplasm and cytoplasmic RRM1 activation was related to cancer cell viability. In contrast, cancer cells lacking cytoplasmic RRM1 activation were confirmed to show severe DNA damage. RRM1 inhibition with specific siRNA or hydroxyurea enhanced the cytotoxic effects of gemcitabine for pancreatic cancer cells.

Conclusions

Cytoplasmic RRM1 activation is involved in biological processes related to drug resistance in response to gemcitabine exposure and could be a potential target for pancreatic cancer treatment.

Introduction

Pancreatic cancer is commonly progressive and fatal. Despite improvements in diagnosis and chemotherapy, its incidence and mortality have been increasing, such that it is now the fourth leading cause of cancer death in the United States [13]. In general, the highly malignant properties of pancreatic cancer are due to its aggressive biological behavior and early acquisition of drug resistance [4,5]. Recently, however, several new regimens have been established which may have marked therapeutic effects [68]. Combination therapies play a central role in treatment strategies for patients with pancreatic cancer. Nevertheless, there are many undetermined molecular mechanisms related to the acquisition of pancreatic cancer drug resistance.

Gemcitabine is currently a key agent for the treatment of pancreatic cancer. Once this drug is taken up into cells through the membrane nucleoside transporter hENT1, it is phosphorylated by deoxycytidine kinase (dCK) to generate gemcitabine monophosphate (dFdCMP) and then subsequently converted to gemcitabine diphosphate (dFdCDP) and finally gemcitabine triphosphate (dFdCTP), which is the active form [9,10]. Incorporation of dFdCTP into tumor DNA is the fundamental mode of action responsible for gemcitabine cytotoxicity [9,11]. However, dFdCDP-induced inhibition of ribonucleotide reductase (RR) is a different mechanism enhancing gemcitabine cytotoxicity [9,11,12]. Ribonucleotide reductase is mainly responsible for controlling DNA biosynthesis through the formation of dNTPs [9,13] and is also essential for DNA damage repair to aid recovery from cytotoxic agents including gemcitabine. Pharmacologically, gemcitabine reduces the activity of RR, which in turn reduces the endogenous dNTP pool, thus indirectly facilitating dFdCTP incorporation into DNA [9,11].

Ribonucleotide reductase large subunit M1 (RRM1) is a rate-limiting enzyme of the DNA synthesis pathway, and is depended on for the conversion of ribonucleotides to dNTPs [14]. Studies have shown that increased levels of RRM1 are associated with resistance to gemcitabine [15,16]. RRM1 has also been reported to affect disease prognosis of pancreatic cancer. In fact, the meta-analysis for RRM1 demonstrated that high expression of RRM1 was significantly associated with worse overall survival. The clinical impact of RRM1 has been elucidated [1722]. However, the functions of RRM1 in pancreatic cancer biology remain unclear.

In the present study, we investigated RRM1 expression levels in pancreatic cancer by immunohistochemical staining of tumor sections and attempted to determine correlations with clinicopathological factors and survival. We also carried out in vitro experiments to analyze the functional consequences of RRM1 expression, especially focusing on DNA damage in pancreatic cancer cells in response to gemcitabine exposure. Our study provides evidence that RRM1 could be an effective target in pancreatic cancer treatment.

Methods

Materials

Culture media (DMEM), fetal bovine serum (FBS) and penicillin/streptomycin (P/S) were obtained from Sigma-Aldrich (St. Louis, MO). Anti-RRM1 (D12F12; #8637), anti-Phospho-Histone H2A.X (Ser139, D7T2V; #80312S), anti-GAPDH (D16H11; #5174), anti-Acetyl Histone H3 (Lys9) (C5B11; #9649S), anti-Acetyl Histone H3 (Lys27) (D5E4; #8173S), and anti-Histone H3 (D1H2; #4499) antibodies were from Cell Signaling Technology (Danvers, MA). Anti-Lamin B antibody (M-20; sc-6217) was obtained from Santa Cruz Biochemistry (Santa Cruz, CA). Anti-α-Tubulin antibody (DM1A; T9026) was from Sigma-Aldrich (St. Louis, MO). Gemcitabine hydrochloride (G6423), the histone acetyltransferase inhibitor C646 (SML0002) and the ribonucleotide reductase (RNR) inhibitor Hydroxyurea (H8627) were all from Sigma-Aldrich.

Cell cultures

The human pancreatic cancer cell lines Hs766T, MIAPaCa2, Panc1 and PSN1 were obtained from the American Type Culture Collection (ATCC, Manassas, VA). The MIAPaCa2, Panc1, and PSN1 lines were obtained in August 2016 and Hs766T in July 2019. All cancer cell lines were authenticated using STR analysis for DNA profiling and all experiments were performed with mycoplasma-free cells. Cancer cells were maintained in high glucose DMEM medium containing 10% FBS and 1% P/S in a humidified 5% CO2 chamber at 37°C.

Human tissues (for IHC)

Archived tissue slides were obtained from the Department of Pathology at Tokyo Medical and Dental University Hospital, Tokyo, Japan, for the patients with pancreatic cancer who underwent radical operation from February 2005 to April 2017. With approval of the ethics committees of the Faculty of Medicine in Tokyo Medical and Dental University (permission No. M2000-1080, G2017-018), written informed consent to have data from their medical records used in research was obtained from all patients. Patients were anonymously coded in accordance with ethical guidelines, as instructed by the Declaration of Helsinki.

Archived tissues of pancreatic ductal adenocarcinoma from 121 different patients and low-malignant pancreatic disease from 12 different patients were included in this study. Heat-induced epitope retrieval was performed with citrate buffer (pH 6.0). Anti-RRM1 antibody was diluted 1/200 with SignalStain Antibody Diluent (#8112; Cell Signaling Technology) and incubated for 1 hour at room temperature. Antigen-antibody reactions were visualized with SignalStain Boost IHC Detection Reagents (HRP, Rabbit #8114; Cell Signaling Technology).

Western blotting

Western blotting was performed as previously described [23]. GAPDH and Histone H3 served as a loading control for the normalization of each lane. Protein bands were visualized using ImageQuant LAS 4000 mini (GE Healthcare, Chicago, IL). Western blotting was repeated at least three times with similar results and representative blots are presented. Densitometric analysis was conducted using ImageQuant TL (GE Healthcare) to calculate the intensity of each protein band.

Gene silencing by small interfering RNA

Loss-of-function analysis was performed using siRNAs targeting RRM1 (HSS109388, Invitrogen, St Louis, MO: sense 5′-CCCAGUUACUGAAUAAGCAGAUCUU-3′, antisense 5′-AAGAUCUGCUUAUUCAGUAACUGGG-3′) and negative control (Stealth RNAiTM Negative Control Med GC Duplex #2, Invitrogen). An alternative sequence of siRNA targeting RRM1 (HSS184469, Invitrogen: sense 5ʹ-CAGAAGCUUUGUUAUGGACUCAAUA-3ʹ, antisense- 5ʹ-UAUUGAGUCCAUAACAAAGCUUCUG- 3ʹ) was also used with similar results. Each siRNA (10–20 nmol/l) was transfected into pancreatic cancer cells using Lipofectamine RNA iMAX (Invitrogen) according to the manufacturer’s instructions. Knockdown of each target gene was confirmed by Western blotting.

Cell viability assay

Cell numbers were evaluated by WST-8 assay (Cell Counting Kit-8; Dojindo Molecular Technologies, Gaithersburg, MD), as previously described [23]. In brief, 5.0–7.5 x 103 cells per well were seeded into 96-well plates and incubated overnight at 37°C. Following 72 hours of gemcitabine treatment, the cell viability assay was performed according to the manufacturer’s instructions. The absorbance of each well was measured at 450 nm using an iMarkTM microplate reader (Bio-Rad Laboratories) and was within the linear range of the assay.

Quantitative real-time RT–PCR

Extracted RNA was reverse transcribed into first-strand cDNA using SuperScript VILO cDNA Synthesis kits (Invitrogen, Carlsbad, CA). Expression of mRNA was determined using TaqMan Gene Expression Assays (Applied Biosystems, Foster City, CA). The TaqMan assays used in this study were RRM1; Hs01040698_m1. Gene expression values are presented as ratios between genes of interest and an internal reference gene (Hs99999901_s1 for eukaryotic 18S), and subsequently normalized against the value for the control (relative expression level). Normal pancreas RNA (Human Adult Normal Tissue 5 Donor Pool: #R1234188-P) was purchased from BioChain Institution (Newark, CA). Each assay was performed in duplicate for each sample.

Immunofluorescence staining

Cells were fixed in 4% formaldehyde diluted in phosphate-buffered saline (PBS) for 15 minutes, permeabilized with 0.2% Triton X-100, treated with blocking buffer (1% BSA in PBS), and then incubated overnight with the primary antibody at 4°C. Cells were then incubated with the secondary antibody (anti-mouse Alexa Fluor 488 (#4408) or anti-rabbit Alexa Fluor 555 (#4413), Cell Signaling Technologies) for 1 hour at room temperature.

Cytoplasmic and nuclear fractions

Whole cell lysates were further fractionated into subcellular components using the NE-PERTM cytoplasm/nuclear protein extraction kit (Thermo Fisher Scientific), according to the manufacturer’s instructions. For each fractionation, the protein concentration was determined by BCA Protein Assay (Pierce Biotechnology). 10–20 μg of protein from each extract were resolved by 4–20% SDS-PAGE and evaluated by Western blotting.

Statistical analysis

Clinicopathological factors were compared using Mann-Whitney U testing and the Chi-squared test. Multivariate analysis used a logistic regression model. The cumulative survival rate was estimated by the Kaplan-Meier method, and significance was determined using the log-rank test and the Gehan-Breslow-Wilcoxon test. Experiments were conducted in triplicate in independent settings and the values presented represent their means using the Student’s t-test for single comparisons. P <0.05 was defined as statistically significant. Statistical analyses were performed using SPSS for Windows, version 25.0 (SPSS Inc., Chicago, IL) and GraphPad Prism 7 software (GraphPad Software Inc., San Diego, CA). Drawing figures and IC 50 calculation were done with GraphPad Prism 7 software.

Results

High RRM1 expression is associated with poorer prognosis in pancreatic cancer in a disease-specific manner

In the present study, we examined RRM1 expression and determined its clinical and biological significance in pancreatic cancers. First, RRM1 expression in pancreatic cancer tissues of 121 patients who underwent surgical resection was determined by immunohistochemical staining (Fig 1A). This showed that RRM1 was overexpressed in cancer cells but not in adjacent normal pancreatic tissues. RRM1 expression status was classified into low and high expression groups (Fig 1B). RRM1 expression was also examined in different types of low-grade malignant pancreatic diseases such as intraductal papillary mucinous neoplasia (IPMN) with low and intermediate-grade dysplasia, serous cyst neoplasia (SCN), and mucinous cyst neoplasia (MCN) (Figs 1C and S1). Notably, no RRM1 expression was observed in 12 samples of tumor tissues of these benign diseases, suggesting that its overexpression may be specific for malignant cancer.

Fig 1. Association between RRM1 expression and prognosis in pancreatic cancer.

Fig 1

(A) Left panel: representative immunohistochemical staining of pancreatic ductal adenocarcinomas with positive RRM1 expression. Right upper panel: adjacent normal pancreatic tissue. Right lower panel: ductal adenocarcinoma. (B) Representative immunohistochemical staining of low and high RRM1 expression levels. For the immunohistochemical staining of RRM1 in pancreatic cancer, the islets of Langerhans served as a positive internal control to evaluate the expression. RRM1 expression level was graded as low (no staining or weak intensity staining comparing to internal control in less than 30% of cells) or high (strong intensity staining in more than 30% of cells based on cytoplasmic staining intensity). The staining grade of RRM1 expression was assessed by two investigators and reviewed by one pathologist. (C) Immunohistochemical staining of non-malignant pancreatic disease tissues. Left panel, intraductal papillary mucinous neoplasm (IPMN); middle panel, serous cyst neoplasm (SCN); right panel, mucinous cyst neoplasm (MCN). (D), (E) Kaplan-Meier curves for overall survival (D) and disease-free survival (E) of patients with pancreatic cancer with high or low RRM1 expression. RRM1 immunoreactivity in tumor cells was significantly associated with a worse prognosis (overall survival, P = 0.006, log-rank test; disease-free survival, P = 0.0491, Gehan-Breslow-Wilcoxon test).

The clinical significance of RRM1 expression in pancreatic cancer cells was then evaluated. The median follow-up for the patients in this study was 22.6 months. RRM1 overexpression was observed in 85 patients (70.2%). As shown in Fig 1D, overall survival (OS) was significantly worse in patients with high RRM1 expression relative to low RRM1 expression (median OS 21.2 months versus 64.7 months, log-rank test P = 0.006). Disease-free survival (DFS) was also worse for patients whose tumors had high RRM1 expression (median DFS 11.7 months versus 29.0 months, Gehan-Breslow-Wilcoxon test P = 0.0491).

Clinicopathological characteristics, patient demographics, surgical procedure, pathological tumor stage, and adjuvant therapy are depicted in Table 1. There was a significant relationship between RRM1 expression and higher venous invasion. Univariate regression analyses of OS indicated that high CA19-9 level, extrapancreatic invasion, residual tumor, lymphatic invasion, T/N status, non-adjuvant chemotherapy, and RRM expression status were all significant risk factors for pancreatic cancer patients. Multiple regression analysis for these seven variables showed that extrapancreatic invasion [P = 0.002; confidence interval (CI), 1.77–13.9], lymph node metastasis (P <0.001; CI, 1.87–6.42), non-adjuvant chemotherapy (P = 0.005; CI, 1.23–3.29), and high RRM1 (P = 0.017; CI, 1.12–3.23) were independent prognostic factors (Table 2).

Table 1. Patient characteristics.

Low RRM1 n = 36 High RRM1 n = 85 P—value
Age, year (mean ± SD) 68 ± 10.0 68 ± 8.7 0.823
Sex 0.046
 Male 18 (50%) 58 (68%)
 Female 18 (50%) 27 (32%)
CEA, ng/ml (mean ± SD) 4.0 ± 10.4 7.1 ± 14.8 0.228
CA19-9, U/ml (mean ± SD) 427 ± 1134 463 ± 1349 0.890
Operation Procedure 0.413
 PD 24 (67%) 53 (64%)
 DP 12 (33%) 28 (33%)
 TP 0 4 (3%)
Extrapancreatic Invasion 0.103
 negative 9 (25%) 11 (13%)
 positive 27 (75%) 74 (87%)
Portal Vein invasion 0.99
 negative 28 (78%) 66 (78%)
 positive 8 (22%) 19 (22%)
Venous invasion 0.044
 negative 12 (11%) 3 (2%)
 positive 23 (89%) 82 (98%)
Neural invasion 0.855
 negative 2 (6%) 4(5%)
 positive 34 (94%) 80 (95%)
Lymphatic invasion 0.736
 negative 13 (36%) 28 (33%)
 positive 23 (64%) 57 (67%)
T status (AJCC7) 0.683
 pT1, < 20mm 7 (19%) 11 (13%)
 pT2, 20mm - 40mm 19 (53%) 50 (59%)
 pT3, 40mm ≤ 10 (28%) 24 (28%)
N status (AJCC7) 0.827
 pN0 11 (31%) 25 (29%)
 pN1 25 (69%) 60 (71%)

Bold represents P-value <0.05, CEA: Carcinoembryonic antigen, CA19-9: Carbohydrate antigen 19–9, PD; Pancreatoduodenectomy, DP: Distal pancreatectomy, TP: Total pancreatectomy, AJCC7: American Joint Commission Cancer 7th edition.

Table 2. Cox proportional analysis for the prognostic factors of overall survival.

Characteristics Category Univariate analysis Multivariate analysis
Hazard (95% CI) P—value Hazard (95% CI) P—value
Age >75 1.38 (0.86–2.20) -
Sex male 1.19 (0.77–1.84) -
CEA, ng/ml >5 1.57 (0.99–2.48) -
CA19-9, U/ml >100 1.60 (1.04–2.45) 0.031 - -
Surgical Procedure PD 1.42 (0.92–2.18) -
Extrapancreatic Invasion positive 5.19 (2.09–12.9) < 0.001 4.96 (1.77–13.9) 0.002
Residual Tumor positive 1.56 (1.02–2.40) 0.042 - -
Venous Invasion positive 4.53 (0.63–32.6) -
Neural Invasion positive 4.07 (0.99–16.8) -
Lymphatic Invasion positive 2.76 (1.62–4.69) < 0.001 - -
T status (AJCC7) ≥ T3 1.79 (1.15–2.80) 0.011 - -
N status (AJCC7) ≥ N1 3.64 (2.01–6.59) < 0.001 3.46 (1.87–6.42) < 0.001
Adjuvant chemotherapy none 1.61 (1.03–2.53) 0.036 2.01 (1.23–3.29) 0.005
RRM1 high 2.00 (1.21–3.31) 0.004 1.90 (1.12–3.23) 0.017

CI: Confidence interval, CEA: Carcinoembryonic antigen, CA19-9: Carbohydrate antigen 19–9, PD; pancreatoduodenectomy, AJCC7: American Joint Commission Cancer 7th edition, RRM1: Ribonucleotide reductase large subunit M1.

We further investigated the relevance of RRM1 expression for postoperative prognosis focusing on the effects of adjuvant chemotherapy (Fig 2A and 2B). In this study, 79 patients (65%) received adjuvant chemotherapy with gemcitabine or S-1 after radical surgery; 29 patients received gemcitabine (GEM group) and 50 patients with S-1 (S-1 group). 42 patients received no adjuvant chemotherapy (No adjuvant group). As shown in Fig 2A, patients with pancreatic cancers expressing high levels of RRM1 had poorer OS following adjuvant chemotherapy.

Fig 2. Correlation between the level of expression of RRM1 and postoperative outcomes in patients who received adjuvant chemotherapy.

Fig 2

Kaplan-Meier curve for overall survival (A) and disease-free survival (B) of 79 patients who received adjuvant chemotherapy. Kaplan-Meier curve for disease-free survival of 85 patients with high RRM1 expression (C) and 36 patients with low RRM1 expression (D) in the comparison of receiving adjuvant chemotherapy and no adjuvant chemotherapy. S-1 group: patients who received S-1 adjuvant chemotherapy. GEM group: patients who received gemcitabine adjuvant chemotherapy. No adjuvant group: patients who received no adjuvant chemotherapy, respectively.

In addition, we compared the therapeutic efficacy of adjuvant chemotherapy in low and high RRM1 expression. In pancreatic cancer with high RRM1, there was little therapeutic effect of adjuvant chemotherapy (Fig 2C). On the other hand, in pancreatic cancer with low RRM1, there was a trend toward a benefit from additional postoperative adjuvant chemotherapy comparing to no adjuvant group, although the difference was not statistically significant (Fig 2D). These results suggested that RRM1 expression status may have an important role in pancreatic cancer chemoresistance in general.

RRM1 inhibition augments gemcitabine sensitivity of pancreatic cancer cells

Our immunohistochemical analysis indicated the clinical importance of high RRM1 expression in gemcitabine chemoresistance against pancreatic cancer consistent with reported evidence [16,17,24]. However, biological importance of RRM1 expression on gemcitabine resistance remained still uncertain. Therefore, in vitro experiments were carried out to determine the biological and functional effects of RRM1 expression on gemcitabine treatment.

We quantified RRM1 in four established human pancreatic cancer cell lines (Hs766T, MIAPaCa2, PSN1, and Panc1). Real time RT-PCR analysis demonstrated that RRM1 mRNA expression was aberrantly activated in all pancreatic cancer cell lines comparing to normal pancreas tissue. And RRM1 protein expression was confirmed at various levels by Western blotting in the panel of pancreatic cancer cell lines (Fig 3A).

Fig 3. Augment of gemcitabine sensitivity of pancreatic cancer cells associated with RRM1 inhibition.

Fig 3

(A) Left panel: Endogenous RRM1 protein expression in human pancreatic cancer cell lines by Western blotting. The numbers at the bottom indicate the relative intensity of the bands for RRM1 expression of Hs766T, PSN1, and Panc1 comparing to MIAPaCa2, which showed the lowest endogenous RRM1 expression in the panel (normalized by GAPDH). Right panel: Endogenous RRM1 mRNA expression relatively comparing to normal pancreas tissue. Of note, RRM1 expression was activated at various levels in four pancreatic cancer cell lines. (B) Cell viability assay after gemcitabine treatment for 72 hours together with siRRM1 or siNC treatment. Prior to gemcitabine treatment, cells were treated with siRRM1 or siNC for 24 hours. And then cells (MIAPaCa2 5× 103, PSN1 7.5× 103) were seeded and incubated overnight. Attached cells were treated with or without gemcitabine treatment (15 nM for MIAPaCa2 and 5 nM for PSN1 cells) for 72 hours. Error bars represent mean ± SD. *p<0.05 vs siNC-treated cells with gemcitabine. Each data point was evaluated as relative absorbance normalized to siNC control without treatment. Each experiment was performed in duplicate. (C) Cell viability assay after hydroxyurea, gemcitabine, and gemcitabine coadministrating with hydroxyurea for 72 hours. Drug concentration of hydroxyurea was determined based on the data of IC50 in each cell (S2A Fig). Hydroxyurea was treated at 750 μM for MIAPaCa2 and 300 μM for PSN1 cells. Gemcitabine was treated at 15 nM for MIAPaCa2 and 5 nM for PSN1 cells. Error bars represent mean ± SD. *p<0.05 vs cells with gemcitabine-treated cells. Each data point was evaluated as relative absorbance normalized to no treatment control. Each experiment was performed in duplicate. (D), (E) Effects of RRM1 gene-silencing (D) and hydroxyurea (E) on gemcitabine-induced DNA damage. DNA damage was evaluated by γ-H2AX expression using Western blotting. (D) Cancer cells were treated with siRRM1 or siNC for 6 hours prior to gemcitabine exposure for 72 hours. Gemcitabine was treated at 25 nM for MIAPaCa2 and 10 nM for PSN1 cells. (E) Cancer cells were treated with hydroxyurea, gemcitabine, or coadministrating with hydroxyurea and gemcitabine for 72 hours. Gemcitabine was treated at 15 nM for MIAPaCa2 and 5 nM for PSN1 cells and hydroxyurea at 750 μM for MIAPaCa2 and 300 μM for PSN1 cells.

We next analyzed the effect on cell viability of reducing RRM1 function after gemcitabine exposure using specific RRM1 siRNAs or hydroxyurea, the latter being a clinically-used agent that inhibits ribonucleotide reductase [25]. Notably, RRM1-specific siRNA treatment downregulated cell viability of pancreatic cancer cells. Furthermore, cytotoxic effects after gemcitabine exposure were significantly increased in pancreatic cancer cells on treatment with RRM1-specific siRNA, relative to controls in both MIAPaCa2 and PSN1 cells (Fig 3B). Western blotting analysis in these two cell lines showed that exposure to RRM1 siRNA also increased γ-H2AX expression, a surrogate marker for DNA double-strand breaks (Fig 3D). Additional administration of gemcitabine after RRM1 siRNA exposure potently increased γ-H2AX expression, indicating that RRM1 inhibition contributes to augmentation of gemcitabine sensitivity and enhances DNA damage after exposure to the drug.

Similar effects on gemcitabine-induced cytotoxicity were confirmed using ribonuclease inhibition. Hydroxyurea also inhibited cell viability of pancreatic cancer cells (Fig 3C). In addition, hydroxyurea coadministration together with gemcitabine apparently decreased cancer cell viability and increased DNA damage accumulation in both MIAPaCa2 and PSN1 cancer cells, as shown in Fig 3E. Our results supported the hypothesis that RRM1 inhibition enhances the effect of gemcitabine, which could be useful for the treatment of pancreatic cancer.

Increased RRM1 expression in pancreatic cancer cell cytoplasm after gemcitabine exposure is related to resistance to the drug

The biological effects of RRM1 expression after gemcitabine exposure were further investigated. We focused on the location of RRM1 expression in pancreatic cancer cells and found that it was mainly present in the cytoplasm, as shown by immunofluorescence and immunohistochemical staining (Fig 4A). Western blotting confirmed the presence of RRM1 in the cytoplasm (Fig 4B).

Fig 4. Alteration of RRM1 expression after gemcitabine exposure in pancreatic cancer cells.

Fig 4

(A) Representative immunofluorescence of Panc1 cells and immunohistochemical staining of human pancreatic cancer cells for RRM1 expression showing that RRM1 is mainly localized in the cytoplasm. (B) Distribution of RRM1 in Panc1 cells. Proteins were separated into nuclear and cytoplasm fractions and examined by Western blotting. RRM1 was confirmed to be located in the cytoplasm. (C) Expression levels of RRM1 induced by gemcitabine from 24 hours to 72 hours. DNA damage was evaluated by γ-H2AX expression. Cells were treated with gemcitabine at 100 nM for MIAPaCa2 and 1 μM for Panc1 cells. RRM1 expression change with upper band shifting was observed at 24 hours after gemcitabine exposure. The numbers at the bottom indicate the relative intensity of the bands for upper band shifted RRM1 expression after gemcitabine exposure comparting to corresponding controls of original RRM1 intensity with no gemcitabine treatment (normalized by GAPDH). (D) Effects of gemcitabine treatment on RRM1 expression level in PSN1, MIAPaCa2, and Panc1 cells. The cells were treated with gemcitabine for 72 hours (at 10 nM for PSN1, 20 nM for MIAPaCa2, and 1 μM for Panc1). The doses of gemcitabine for each cell line were selected to have the sufficient cytotoxic effect of gemcitabine (S2B Fig). Gemcitabine exposure induced band shifted RRM1 alteration in pancreatic cancer cells. (E) Effects of C646 on expression levels of RRM1. Cells were pretreated with C646 at 50 μM for 24 hours and then treated additionally with gemcitabine at 25 nM for 24 hours. Acetylation status was evaluated by H3K27 and H3K9 expression using Western blotting. C646 decreased original RRM1 expression and band shifted RRM1 expression induced by gemcitabine.

We found that gemcitabine exposure alters the level of RRM1 expression. The density of RRM1 expression increased and molecular mass changed after gemcitabine exposure observed by 24 hours after treatment initiation (Fig 4C). Of particular note, this alteration was evoked before γ-H2AX activation in MIAPaC2 cells, suggesting that RRM1 is involved in the signaling response following gemcitabine exposure. RRM1 alteration after gemcitabine exposure was then evaluated using 3 pancreatic cancer cell lines (Fig 4D). Band shifted RRM1 alteration after gemcitabine exposure was most prominent in Panc1 cells (Fig 4C and 4D). Among pancreatic cancer cell lines we tested, Panc1 cells exhibited the most resistant phenotype to gemcitabine (S2B Fig). Furthermore, RRM1 alteration after gemcitabine exposure was significantly scant in PSN1 cells (S3 Fig), which are gemcitabine-sensitive in pancreatic cancer cells lines. However, basal expression of RRM1 in PSN1 cells was higher than MIAPaCa2 cells (Fig 3A). It is likely that the band shifted RRM1 alteration is related to DNA damage repair response rather than the baseline level of RRM1 expression.

This band shift of RRM1 expression may be due to post-transcriptional modification. Histone acetylation is one mechanism that might account for this, and we had previously reported that histone acetylation has a role in early DNA damage repair signaling after gemcitabine exposure in pancreatic cancer cells [26]. Therefore, we attempted to determine the effect of histone acetylation on the alteration of RRM1 expression. To this end, the histone acetyltransferase inhibitor C646 was tested, and as shown in Fig 4E. Notably, original RRM1 expression was inhibited by C646 treatment. Furthermore, band shifted RRM1 expression was also prevented by this agent. Histone acetylation might therefore be associated with both RRM1 expression and the DNA damage response after gemcitabine exposure.

We also found that RRM1 expression was mainly increased in the cytoplasm of cancer cells (Fig 5A); similarly, immunofluorescence staining revealed that RRM1 expression was activated in the cytoplasm. Interestingly, this finding was only observed in those cancer cells without an accumulation of DNA damage (Fig 5B). These cells might have initiated the acquisition of resistance to DNA damage by gemcitabine. Consistent with this, cells undergoing apoptosis with severe DNA damage did not show activation of RRM1 expression in the cytoplasm.

Fig 5. Increased RRM1 expression in pancreatic cancer cell cytoplasm is associated with drug resistance to gemcitabine.

Fig 5

(A) Effects of gemcitabine on RRM1 expression levels in cytoplasmic and nuclear fraction in MIAPaCa2 and Panc1 cells. RRM1 activation induced by gemcitabine was predominantly observed in the cytoplasm. (B) Evaluation of RRM1 expression on exposure to gemcitabine. Notably, RRM1 activation in the cytoplasm was confirmed in those cells tolerating gemcitabine exposure. In contrast, RRM1 activation was not observed in cells with severe DNA damage induced by gemcitabine. (C) Cancer cells were fractionated into either still attached on the plate or free-floating in the medium after gemcitabine treatment for 72 hours. The latter showed marked γ-H2AX activation. Indeed, RRM1 activation in the cytoplasm was confirmed only in attached and viable cells to tolerate gemcitabine-induced DNA damage. On the other hand, cancer cells undergoing apoptosis increased DNA damage and significantly downregulated RRM1 expression. The graph depicts averaged intensity of bands representing γ-H2AX and band shifted RRM1 comparing to original RRM1 intensity without gemcitabine, normalized to the intensity of bands representing GAPDH. Error bars represent mean ± SD. *p<0.05 vs attached viable cells after gemcitabine exposure. The Western blotting assay was performed in triplicate.

In addition, we investigated by quantitative analysis whether cytoplasmic RRM1 expression was associated with the act of overcoming DNA damage after gemcitabine exposure. Indeed, cytoplasmic RRM1 expression after gemcitabine exposure was activated mainly in attached and viable cancer cells. In contrast, cancer cells free-floating in the medium and undergoing apoptosis increased DNA damage and cytoplasmic RRM1 activation was significantly abolished (Fig 5C). Taken these findings together, our study provided evidence that increased RRM1 expression in the cytoplasm may have an important role in the process of DNA repair signaling early after gemcitabine exposure.

Discussion

Ribonuclease reductase (RR) plays a pivotal role in DNA damage repair and DNA replication via the generation of dNTP pools. This enzyme is also involved in gemcitabine metabolism. Several studies revealed that levels of RRM1, which is an isoform of ribonuclease reductase, are associated with postoperative outcomes in some types of cancer [20,21,27,28]. In the present study, we provide evidence that aberrant RRM1 expression is associated with poorer postoperative prognosis in pancreatic cancer. We also documented the absence of RRM1 expression in normal pancreatic tissues and benign pancreatic tumors (Figs 1A and 1C and S1). These results identify aberrant RRM1 expression as regulated in a cancer-specific manner in pancreatic cancer cells.

Recently, combination chemotherapies such as gemcitabine with nab-paclitaxel or FOLFIRINOX (fluorouracil, irinotecan, and oxaliplatin) have achieved some progress in improving the therapeutic effectiveness and have become essential for the treatment of advanced stage pancreatic cancer [6,8]. However, frequent adverse effects preclude long-term treatment with current therapies. Further understanding of the mechanism of gemcitabine or fluorouracil action as the key chemotherapeutic agents is vital for reducing adverse effects but not efficacy.

Even radical surgery for resectable pancreatic cancer is insufficient for curative treatment due to the exceptional malignant potential of this tumor. Therefore, adjuvant chemotherapy is required for the improvement of postoperative outcomes. In general, this disease is treated with gemcitabine or S-1, a modified fluoropyrimidine prodrug [13,29,30]. The notable finding from the present study is that RRM1 expression affects postoperative prognosis on adjuvant treatment in pancreatic cancer patients (Fig 2A and 2B). Furthermore, in our study we also found that S-1 showed a statistically significant benefit in postoperative prognosis of patients with low RRM1 expression for the adjuvant chemotherapy (S4A Fig). On the other hand, the difference between patients with pancreatic cancer with low and high RRM1 expression in the GEM group did not reach statistical significance, though there was a trend towards better survival treating with gemcitabine (S4B Fig). The difference of postoperative outcomes may be due to the limited sample size and the different historical background between the GEM and S-1 group.

Of particular interest, RRM1 expression was significantly associated with worse postoperative overall survival rather than disease free survival for the patients with adjuvant chemotherapy as shown in Fig 2A and 2B. Combination chemotherapies such as gemcitabine with nab-paclitaxel and FOLFIRINOX were currently performed for the treatment of pancreatic cancer in the recurrent or metastatic settings. Gemcitabine and 5-FU, these DNA targeting anticancer drugs play a central role in the treatment in the post relapse settings. RRM1 may exert its effect on resistance to multidrug therapy, including DNA-targeted anticancer drugs using after relapse relatively for a long time. Therefore, RRM1 expression probably affects overall survival than disease free survival in pancreatic cancer patients with adjuvant chemotherapy.

In this study, we attempted to figure out the biological function of RRM1 against gemcitabine. We observed synergistic effects of combining gemcitabine and RRM1 inhibition using specific RRM1 siRNA, or hydroxyurea (Fig 3B and 3C). The synergistic effect of RRM1 inhibition can be also expected for S-1. Supporting our results, other reports indicated that RRM1 is associated with therapeutic sensitivity of gemcitabine and fluorouracil in cancer cells [9,31]. Our results identified that the RRM1 expression status of the individual tumor may be useful for the determination of therapeutic efficacy as indicated in Fig 2C and 2D. In addition, gemcitabine with additional RRM1 inhibition could be a powerful treatment option as an adjuvant therapy especially for the patients with high RRM1 expression.

The relevance of RRM1 expression to gemcitabine resistance has been reported. RRM1 expression increases as tumor cells acquire resistance against chemotherapeutic agents including gemcitabine. However, the functional role of RRM1 was not understood, particularly in the acute response to gemcitabine exposure. In our study, we focused on cellular localization of RRM1 after exposure to this drug. Recently, ribonuclease reductase has been shown to accumulate at DNA damage sites in mammalian cells to facilitate localization of dNTP supplies for damage repair [32]. Niida and colleagues described RRM1 recruitment to nuclear damage foci colocalizing with γ-H2AX after irradiation [32]. In our model of gemcitabine exposure of pancreatic cancer cells, drug-induced DNA damage activated RRM1 expression in the cytoplasm (Fig 5A). RRM1 was not translocated to the nucleus. Notably, cytoplasmic RRM1 activation was observed only in cancer cells overcoming gemcitabine-induced DNA damage, implying that it is part of a cellular recovery process following exposure to the drug (Fig 5B and 5C). In contrast, this was not seen in cancer cells with severely damaged DNA. The biological significance of cytoplasmic RRM1 activation following exposure to gemcitabine is inextricably linked with its exertion of biological signaling resulting in acquisition of a resistant phenotype rather than participating in DNA repair at damage foci.

Minami and colleagues reported that knockdown of RRM1 increases intracellular gemcitabine accumulation by increasing the expression of uptake transporters [18]. Nakano and colleagues demonstrated that the ratio of hENT1-dCK to RRM1-RRM2 gene expression significantly correlated with gemcitabine sensitivity and decreased the development of drug resistance [16]. Concerning the regulation of RRM1 expression, this has remained unclear thus far and we hypothesize that epigenetic modification might be associated with the acute response to gemcitabine. Evidence has been accumulating, including from the present study, that histone acetylation is involved in DNA damage repair signaling [26,32]. Indeed, an increase in histone acetylation occurs at damage sites, coordinating with DNA damage repair complexes [32]. This evidence also supports our previous study in the model of gemcitabine exposure [26]. In the current study, RRM1 activation is regulated presumably in part through histone acetylation. Otherwise, RRM1 activation is associated with kinase activities, such as phosphorylation, even though the role of RRM1 phosphorylation remains uncertain for the repair of DNA damage caused by gemcitabine. Further exploration is necessary to clarify the mechanisms regulating RRM1 activation in the acute response to gemcitabine exposure.

In summary, we demonstrated that RRM1 expression is significantly associated with poorer postoperative prognosis of pancreatic cancer patients. Our study documented that cytoplasmic RRM1 activation is an important hallmark of cancer cells acquiring gemcitabine resistance in the acute response to drug exposure. For those pancreatic cancer patients with high RRM1 expression in their tumors, adjuvant chemotherapy with gemcitabine together with RRM1 inhibition might be an attractive treatment strategy leading to better postoperative outcomes.

Supporting information

S1 Fig. Immunohistochemical staining of total 12 cases of low-grade malignant pancreatic diseases.

(A) Serous cyst neoplasia (SCN), (B) mucinous cyst neoplasia (MCN), (C) intraductal papillary mucinous neoplasia (IPMN) with low-grade dysplasia, and (D) IPMN with intermediate-grade dysplasia. No RRM1 expression was detected in all benign cases without malignant potential.

(TIF)

S2 Fig. Dose-response curve for hydroxyurea and gemcitabine.

(A), (B) Cells (5–7.5×103 per well) were seeded and incubated overnight. Then each concentration of hydroxyurea or gemcitabine was administrated for 72 hours. (A) Cell viability analysis following hydroxyurea treatment in PSN1 and MIAPaCa2 cells (10 nM-10 mM). IC50 concentration for hydroxyurea was calculated at 140 μM for PSN1 and 328 μM for MIAPaCa2 cells. Cell viability was performed by WST-8 assay. (B) Cell viability analysis following gemcitabine treatment in PSN1, MIAPaCa2, and Panc1 cells (PSN1 and MIAPaCa2; 0.1 nM-1 μM, Panc1; 0.1 nM-10 μM).

(TIF)

S3 Fig. RRM1 alteration level after gemcitabine exposure in MIAPaCa2 and PSN1.

Cancer cells were treated with siRRM1 or siNC for 12 hours. Subsequently gemcitabine was treated for 48 hours (MIAPaCa2; 20 nM and PSN1; 7.5nM). Top, representative Western blotting; bottom, the graph depicts averaged intensity of bands representing band shifted RRM1 expression comparing to original RRM1 intensity without gemcitabine, normalized to the intensity of bands representing GAPDH. Error bars represent mean ± SD. *p<0.05 vs cells with gemcitabine treated MIAPaCa2 cells by unpaired t-test. The Western blotting assay was performed in triplicate.

(TIF)

S4 Fig. Correlation between the level of expression of RRM1 and postoperative outcomes in patients who received GEM and S-1 adjuvant chemotherapy.

(A) Kaplan-Meier curve for overall survival of patients who received S-1 adjuvant chemotherapy (S-1 group). (B) Kaplan-Meier curve for overall survival of patients who received gemcitabine-based adjuvant chemotherapy (GEM group).

(TIF)

S1 Raw images

(PDF)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by JSHPS KAKENHI for Grant-Aid for Young Scientists 18K15267. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Irina V Lebedeva

12 Nov 2020

PONE-D-20-25361

Cytoplasmic RRM1 activation as an acute response to gemcitabine treatment is involved in acquired resistance of pancreatic cancer cells

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Reviewer #1: The manuscript reports the investigation of RRM1 in pancreatic cancer prognosis as well as begins to identify cellular responses associated with efficacy of gemcitabine therapy. The following comments are offered:

1. The role of the expression in RRM1 in survival of pancreatic cancer is less controversial than they present. Please see publications by Sierzega et al, Pancreas 2017, and the meta-analysis of Wei et al, Pancreas 2013.

2. The authors refer to RRM1 activation as part of the acquired resistance to gemcitabine. This is not the proper use of the concept. Acquired resistance would be evolution or selection of a subclone that is resistant to gemcitabine after exposure. Their investigation reports inherent or de novo resistance.

3. The authors need to provide information on the quantification of the IHC and how they set cutoff points for "high" and "low" expression.

4. The data related to RRM1 expression and resistance to chemotherapy (Figure 2C, C) would be better presented if they compared the RRM1 high group treated with and without gemcitabine, anticipating no benefit of gemcitabine, and comparing the RRM1 low group treated with and without gemcitabine in which a benefit was observed.

5. The Results section of the manuscript around the data of Figure 3 is very confusing. They refer to Figure 3B in the text, but it seems like they are referring to Figure 3C (Figure 3B is the reduced expression of RRM1 after siRNA treatment). In addition, there are no Figure legends for Figures 3D and 3E.

6. The data presented in Figure 3E is difficult to interpret. How does the data show increased DNA damage accumulation.

7. The investigation that cytoplasmic activation of RRM1 is related to the baseline levels of RRM1? Namely for those cells with high baseline, do they demonstrate the cytoplasmic activation to the same extent as those with low RRM1? The data of Figure 3A shows some variation in baseline RRM1 in which HS766T may be worth investigating.

Reviewer #2: The authors evaluate the clinical significance of RRM1 expression in gemcitabine resistance in pancreas cancer. Drug resistance in pancreas cancer is a major problem. DNA damage resistance has been touted as a primary mechanism for GEM resistance. Literature is confusing as to which DNA damage repair regulators including RRM1, RRM2, EMCC1, and others, or their collaboration are important. This manuscript focuses specifically on RRM1. My concerns including key ones (#9 and 11) are below.

Protein expression in primary tissue by IHC is subjected to interpretation by pathologists. Please add detail in the method for who did the grading and whether there was more than one pathologist. Are they reviewing the staining together or separately and how they rectified varying expression in the same tissue and if the pathologists do not agree on the staining intensity.

Pancreas cancer treatment has improved, so a specific period between the first and last cases need to be included.

Please clarify the non-GEM group for what adjuvants these patients received. It is important to know whether they received DNA targeting agents since high RRM1 seems to also be associated with poor survival in this group. Even though there is a trend towards worse survival in the GEM group, the data is not statistically significant. Need to discuss this. Could be a limited sample size but the negative data here does not support further studies of RRM1 and GEM resistance.

Please discuss the negative PFS with adjuvant therapy but the highly significant OS. This data would suggest an adverse impact of RRM1 in the post relapse setting, unrelated to GEM

Please describe the siRRM1 cells whether they have different growth rates. This will matter more in your figure 1 when you compare the GEM treatment effects.

In Figure 3A: please do densitometric analysis and describe the ratio between RRM1 and GAPDH. The MIAPaCa cells look to have the lowest amount of RRM1, so the role of RRM1 is better studied in the overexpression model. PSN is a good model here

Figure 3B and C, please add data of siRMM cells without GEM. That will show whether there are any baseline cumulative DNA damage and different growth rate

Figure 3D: Need HU treatment alone as a control too since HU dose chosen was based on IC50, per author’s description (line 233)

Fig 4C showing altered MW of RRM1 with GEM treatment is interesting but C646 decreased both primary and higher MW forms, so cannot use this method to conclude that the altered MW is via acetylation and cannot conclude that acetylation of RRM1 has any significant role in DNA damage. To support this, it would need evidence of a different degree of DNA damage and cell death in GEM +/- C646. The posttranslational modification of RRM1 is an interesting one esp. if it affects the localization and function of the protein. This is a novel finding and needs more expansion of the experiment and/or discussion.

Please do densitometry for the ration of cytoplasmic and nuclear RRM1 in Fig 4E. looks like there is an increase in a nuclear fraction too

The description of accumulation of cytoplasmic RRM1 only in cells without DNA damage could be interesting but this needs quantification, rather than just one immunofluorescent staining and should be compared between GEM sensitive and resistant cell line. This point is critical as abnormal translocation of RRM1 and its effect on GEM sensitivity is a novel finding while other clinical roles of RRM1 and its function as determined by siRNA in cell lines have already been previously reported.

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PLoS One. 2021 Jun 10;16(6):e0252917. doi: 10.1371/journal.pone.0252917.r002

Author response to Decision Letter 0


26 Dec 2020

Irina V. Lebedeva, Ph.D.

Academic Editor

PLOS ONE

Dear Dr. Lebedeva,

We would like to thank all the reviewers of our manuscript for their insightful comments and helpful suggestions. We have added new data and revised the manuscript accordingly. Each of the issues raised by the reviewers is addressed specifically below.

Reviewer #1:

1. The role of the expression in RRM1 in survival of pancreatic cancer is less controversial than they present. Please see publications by Sierzega et al, Pancreas 2017, and the meta-analysis of Wei et al, Pancreas 2013.

Comments: Thank you for your valuable opinion. We agree with reviewer’s comments about the description for the clinical significance of RRM1 expression. The reports by Wei et al (Pancreas 2013) and Sierzega et al (Pancreas 2017) were referred to in our manuscript and we revised our statement in the introduction section described as below.

“RRM1 has also been reported to affect disease prognosis of pancreatic cancer. In fact, the meta-analysis for RRM1 demonstrated that high expression of RRM1 was significantly associated with worse overall survival. The clinical impact of RRM1 has been elucidated. However, the functions of RRM1 in pancreatic cancer biology remain unclear.”

2. The authors refer to RRM1 activation as part of the acquired resistance to gemcitabine. This is not the proper use of the concept. Acquired resistance would be evolution or selection of a subclone that is resistant to gemcitabine after exposure. Their investigation reports inherent or de novo resistance.

Comments: Thank you for your important advice. As the reviewer pointed out, we have modified acquired resistance to drug resistance in our title and manuscript.

3. The authors need to provide information on the quantification of the IHC and how they set cutoff points for "high" and "low" expression.

Comments: According to reviewer’s suggestion, we revised our statement in the Figure Legends section to clarify the definitions for staining of RRM1 expression. We added the following sentence in the Figure Legends section.

“For the immunohistochemical staining of RRM1 in pancreatic cancer, the islets of Langerhans served as a positive internal control to evaluate the expression. RRM1 expression was graded into RRM1 expression levels as low (no staining or weak intensity staining comparing to internal control in less than 30% of cells) or high (strong intensity staining in more than 30% of cells based on cytoplasmic staining intensity). The staining grade of RRM1 expression was assessed by two investigators and reviewed by one pathologist.”

4. The data related to RRM1 expression and resistance to chemotherapy (Figure 2C, C) would be better presented if they compared the RRM1 high group treated with and without gemcitabine, anticipating no benefit of gemcitabine, and comparing the RRM1 low group treated with and without gemcitabine in which a benefit was observed.

Comments: We agree with the reviewer’s suggestion. As reviewer pointed out, we revised the data related to RRM1 expression and resistance to chemotherapy in Figure 2C and 2D. Figure 2C and 2D represent the clinical efficacy of RRM1 expression on a benefit of adjuvant chemotherapy comparing low and high RRM1 expression in the revised manuscript. Thanks to the reviewer’s valuable advice, our assertion concerning the biological role of RRM1 on clinical benefit of adjuvant therapy has been clarified.

5. The Results section of the manuscript around the data of Figure 3 is very confusing. They refer to Figure 3B in the text, but it seems like they are referring to Figure 3C (Figure 3B is the reduced expression of RRM1 after siRNA treatment). In addition, there are no Figure legends for Figures 3D and 3E.

Comments: We appreciate the reviewer’s meticulous review in the very detail point. The Result section of Figure 3B and 3C and corresponding Figure legends have been changed appropriately. And we have added Figure legends for Figure 3D and 3E in our revised manuscript. We apologize for this careless mistake in our figures and figure legends and have corrected this in the revision.

6. The data presented in Figure 3E is difficult to interpret. How does the data show increased DNA damage accumulation.

Comments: According to reviewer’s suggestion, the experiment was re-performed for western blotting to clarify increased DNA damage accumulation in MIAPaCa2 and PSN1 cells after hydroxyurea and gemcitabine treatment.

7. The investigation that cytoplasmic activation of RRM1 is related to the baseline levels of RRM1? Namely for those cells with high baseline, do they demonstrate the cytoplasmic activation to the same extent as those with low RRM1? The data of Figure 3A shows some variation in baseline RRM1 in which HS766T may be worth investigating.

Comments: We really appreciate for your raising an important question and providing these insights. Since it is especially important on this point in the manuscript, we have performed some additional experiments. In our opinion, cytoplasmic activation of RRM1 is not related to the baseline level of RRM1 expression. We rather speculated that this activation is related in response to DNA damage repair in pancreatic cancer cells. In fact, the basal RRM1 expression in PSN1 cells was higher than MIAPaCa2 cells as shown in Figure 3A. Whereas, RRM1 alteration after gemcitabine exposure was significantly scant in PSN1 cells, which are gemcitabine-sensitive comparing to MIAPaCa2 cells as shown in the newly added Supplementary Figure S3 and Figure 4. In addition, cross-sectional analysis of pancreatic cancer cell lines has been added to the revised manuscript as shown Figure 4D. Among pancreatic cancer cell lines we tested, Panc1 cells exhibited the most resistant phenotype to gemcitabine (Supplementary Figure S3). The results of these experiments have supported our notion very well indeed. These results are added in Figure 4D and Supplementary Figure S3 and S4. The relevant parts of Results and Figure Legends sections have been revised accordingly.

Reviewer #2:

#1 Protein expression in primary tissue by IHC is subjected to interpretation by pathologists. Please add detail in the method for who did the grading and whether there was more than one pathologist. Are they reviewing the staining together or separately and how they rectified varying expression in the same tissue and if the pathologists do not agree on the staining intensity.

Comments: Thank you for your valuable suggestion. In this study, two investigators assessed the staining grade of RRM1 expression, and one pathologist judged and reviewed the results separately. For the immunohistochemical staining of RRM1 in pancreatic cancer, the islets of Langerhans served as a positive internal control to evaluate the expression. The grading of RRM1 protein expression in primary tissues was determined into two grades. Tumor cells which had stronger intensity staining comparing to positive control in more 30% of cells were defined as high RRM1 expression. Whereas low RRM1 expression was defined as no staining or weak intensity staining in less 30% of cells. The staining grade of RRM1 expression was assessed by two investigators and the pathologist agreed with determination of the grade and the criteria of RRM1 expression. We revised our statement in the Figure Legends section to clarify the definitions for staining of RRM1 expression.

#2 Pancreas cancer treatment has improved, so a specific period between the first and last cases need to be included.

Comments: We agree with reviewer’s opinion. We revised our statement with a specific period and relevant parts of the Material and Methods were revised accordingly.

#3 Please clarify the non-GEM group for what adjuvants these patients received. It is important to know whether they received DNA targeting agents since high RRM1 seems to also be associated with poor survival in this group. Even though there is a trend towards worse survival in the GEM group, the data is not statistically significant. Need to discuss this. Could be a limited sample size but the negative data here does not support further studies of RRM1 and GEM resistance.

Comments: In non-GEM group, S-1 was used as a therapeutic agent for the patients in the postoperative adjuvant setting. S-1 is an oral fluoropyrimidine compound comprising tegafur, gimeracil, and oteracil potassium. S-1 functions as a prodrug of 5-FU and, like gemcitabine, is classified as a DNA targeting agent. The therapeutic use of S-1 as postoperative adjuvant chemotherapy has become the standard of care in Japan. One of the reasons why there was no significant difference in the GEM adjuvant group is the issue about the limited sample size. Another reason is that the overall prognosis in the GEM group was worse than that in the S-1 group, which may indicate that GEM was less effective than S-1 as an adjuvant treatment in addition to the different situation background. In this study, we focused on the biological function of RRM1 against gemcitabine, but the synergistic effect of RRM1 can be expected for S-1, which is also characterized as a DNA-targeted therapeutic agent. The phrase “non-GEM group” was misleading and have corrected. The details about the difference of therapeutic efficacy between gemcitabine and S-1 was described in the Discussion section and the figures has been changed to supplemental materials (Supplemental Figure S2A and S2B). We have accordingly revised the relevant parts of the Results, Figure Legends, and Discussion sections.

#4 Please discuss the negative PFS with adjuvant therapy but the highly significant OS. This data would suggest an adverse impact of RRM1 in the post relapse setting, unrelated to GEM.

Comments: It has been already common knowledge that GnP (gemcitabine and nab-paclitaxel) or FOLFIRINOX (5-FU, oxaliplatin, and irinotecan) were currently performed for the treatment of pancreatic cancer in the recurrent or metastatic settings. DNA targeting anticancer drugs such as gemcitabine and 5-FU play a central role in the treatment even in the post relapse settings. RRM1 may exert its effect on resistance to multidrug therapy, including DNA-targeted anticancer drugs using after relapse relatively for a long time. Therefore, RRM1 expression probably affects OS rather than DFS in pancreatic cancer patients. A description of these contents has been added to the Discussion section.

#5 Please describe the siRRM1 cells whether they have different growth rates. This will matter more in your figure 1 when you compare the GEM treatment effects.

Comments: We added the experimental data using siRRM1 cells without gemcitabine exposure in Figure 3B. Cell proliferation was significantly inhibited in siRRM1 cells as well, regardless of basal RRM1 expression. We have accordingly revised the relevant parts of the Results and Figure Legends sections.

#6 In Figure 3A: please do densitometric analysis and describe the ratio between RRM1 and GAPDH. The MIAPaCa cells look to have the lowest amount of RRM1, so the role of RRM1 is better studied in the overexpression model. PSN is a good model here.

Comments: According to reviewer’s suggestion, we added the data of endogenous RRM1 expression in the four pancreatic cancer cell lines using densitometric analysis as the relative ratio comparing to MIAPaCa2 cells, which possessed the lowest RRM1 expression in our panel as shown in Figure 3A. The relevant parts of the Results and Figure Legends sections have been revised accordingly.

#7 Figure 3B and C, please add data of siRMM cells without GEM. That will show whether there are any baseline cumulative DNA damage and different growth rate

Comments: As reviewer’s indication, we added the data using siRRM1 cells without gemcitabine exposure to Figure 3B and 3D. Gene-silencing of RRM1 induced DNA damage accumulation and inhibited cell proliferation. These effects against DNA damage accumulation and inhibition of cell viability were synergistically enhanced when gemcitabine was used in combination. The relevant parts of the Results and Figure Legends sections have been revised accordingly.

#8 Figure 3D: Need HU treatment alone as a control too since HU dose chosen was based on IC50, per author’s description (line 233)

Comments: As reviewer’s indication, we added the data treating with HU alone to Figure 3C and 3E. Like RRM1 gene-silencing, HU monotherapy induced DNA damage accumulation and inhibited cell proliferation. These effects against DNA damage accumulation and inhibition of cell viability were also synergistically enhanced when gemcitabine was used in combination. The relevant parts of the Results and Figure Legends sections have been revised accordingly.

#9 Fig 4C(D?)showing altered MW of RRM1 with GEM treatment is interesting but C646 decreased both primary and higher MW forms, so cannot use this method to conclude that the altered MW is via acetylation and cannot conclude that acetylation of RRM1 has any significant role in DNA damage. To support this, it would need evidence of a different degree of DNA damage and cell death in GEM +/- C646. The posttranslational modification of RRM1 is an interesting one esp. if it affects the localization and function of the protein. This is a novel finding and needs more expansion of the experiment and/or discussion.

Comments: Previously we reported that a histone acetylation inhibitor C646 increased gemcitabine-induced DNA damage and decreased cell viability in pancreatic cancer cells (Ono H et al, Oncotarget, 2016; 7:51301-5131). Indeed, it is difficult to show a direct relevance between RRM1 acetylation and DNA damage using C646. Since C646 globally represses the transcriptional regulation mediated by downregulation of histone acetylation, therefore it is not suitable for evaluation of simply repression of RRM1 acetylation. We demonstrated that using densitometric analysis, altered molecular weight of RRM1 was significantly inhibited by a histone acetylation inhibitor C646 instead. We agree that the posttranslational modification of RRM1 is an interesting point, but we have not been able to demonstrate the direct relevance of RRM1 acetylation on gemcitabine-induced DNA damage in the revised manuscript. We will leave it as a future research topic. The result was added in Figure 4E in the revised manuscript. The relevant parts of the Results and Figure Legends sections have been revised accordingly.

#10 Please do densitometry for the ration of cytoplasmic and nuclear RRM1 in Fig 4E. looks like there is an increase in a nuclear fraction too

Comments: As the reviewer mentioned, it appeared that there is also an increase in a nuclear fraction in Panc1 cells. We examined RRM1 expression in the nuclear and cytoplasmic fractions with another cancer cell line using MIAPaCa2 cells. As shown in Figure 5A, in MIAPaCa2 cells, there is a very slight increase in RRM1 expression in the nucleus. Most of band shifted RRM1 alteration occurred in the cytoplasm, whereas the amount of increase in RRM1 nuclear fraction is exceedingly small. At the same time, the band of α-Tublin can be recognized even in the nuclear fraction. Considering these results, we supposed that a partial inclusion of cytoplasmic components is observed due to the limitations of experimental precision rather than an increase in nuclear fractions. A simple comparative analysis of nuclear and cytoplasmic proteins is difficult, so we did not perform a densitometric analysis in this case. The results were added in Figure 5A in the revised manuscript. The relevant parts of the Results and Figure Legends sections have been revised accordingly.

#11 The description of accumulation of cytoplasmic RRM1 only in cells without DNA damage could be interesting but this needs quantification, rather than just one immunofluorescent staining and should be compared between GEM sensitive and resistant cell line. This point is critical as abnormal translocation of RRM1 and its effect on GEM sensitivity is a novel finding while other clinical roles of RRM1 and its function as determined by siRNA in cell lines have already been previously reported.

Comments: Thank you for your valuable opinion, we completely agree with reviewer’s comments about the necessity of quantification to calculate accumulation of cytoplasmic RRM1 in response to DNA damage. We performed additional investigation for western blotting and subsequent densitometric analysis to examine the RRM1 expression level quantitatively in response to DNA damage by comparing attached on the plate and free-floating cancer cells. As shown in Figure 5C, the quantitative analysis demonstrated that apoptosis-inducing cancer cells abolished RRM1 activation and increased DNA damage accumulation. On the other hand, RRM1 activation in the cytoplasm was confirmed only in attached and viable cells to tolerate gemcitabine-induced DNA damage. We convince that this result quantitatively confirmed the finding that cytoplasmic RRM1 accumulated only in cells without DNA damage. The result was added in Figure 5C and the relevant parts of Results and Figure Legends sections have been revised accordingly.

In conclusion, we would like to thank the reviewers for their careful reading of the manuscript and helpful suggestions. We believe the manuscript is much improved.

Sincerely,

Tomotaka Kato, MD

Hiroaki Ono, MD PhD

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Irina V Lebedeva

2 Mar 2021

PONE-D-20-25361R1

Cytoplasmic RRM1 activation as an acute response to gemcitabine treatment is involved in drug resistance of pancreatic cancer cells

PLOS ONE

Dear Dr. Ono,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please address the concerns highlighted by the reviewer 3.

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We look forward to receiving your revised manuscript.

Kind regards,

Irina V. Lebedeva, Ph.D.

Academic Editor

PLOS ONE

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Reviewer #2: All comments have been addressed

Reviewer #3: (No Response)

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Reviewer #2: Yes

Reviewer #3: Partly

**********

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Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #3: Yes

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Reviewer #2: (No Response)

Reviewer #3: This study highlighted the significance of RRM1 expression in pancreatic cancer treatment and attempted to shed some light on its chen-resistance mechanism. There are a few issues that require some attention.

1. For the univariate and multivariate analysis, adjuvant therapy should be one of the variables included in the model, especially the remaining study has shown that adjuvant treatment could have significant survival impact on patients with low RRM1 expression. Thus, adjuvant treatment could be a confounding factor. Thus, this must be included in the multivariate regression model regardless of the P value in the univariate analysis.

2. Regarding the RRM1 band shift, the data did not clearly support the conclusion regarding the role of histone acetylation. If histone acetylation is responsible directly or indirectly for the upward shift of RRM1, one would expect a stronger bottom band and weaker top band with C646 treatment (fig 4E). Instead, it seems that both bands were lighter. So, histone acetylation does not seem to be responsible for this post-translation modification of RRM1, but perhaps on degradation or expression. It's probably some other protein modifications unrelated to the histone acetylation. How about ubiquitination, parylation, or sumolyation, etc.

3. In their conclusion, the authors stated "RRM1 activation". I am not sure what "activation" did the author refer to. All we have seen was a band shift with no clear mechanism. How do we know the higher molecular weight RRM1 is the active form?

**********

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Reviewer #2: Yes: Attaya Suvannasankha

Reviewer #3: No

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PLoS One. 2021 Jun 10;16(6):e0252917. doi: 10.1371/journal.pone.0252917.r004

Author response to Decision Letter 1


31 Mar 2021

Irina V. Lebedeva, Ph.D.

Academic Editor

PLOS ONE

Dear Dr. Lebedeva,

We would like to thank all the reviewers of our manuscript for their insightful comments and helpful suggestions. We have added new data and revised the manuscript accordingly. Each of the issues raised by the reviewers is addressed specifically below.

Review Comments to the Author

Reviewer #3:

1. For the univariate and multivariate analysis, adjuvant therapy should be one of the variables included in the model, especially the remaining study has shown that adjuvant treatment could have significant survival impact on patients with low RRM1 expression. Thus, adjuvant treatment could be a confounding factor. Thus, this must be included in the multivariate regression model regardless of the P value in the univariate analysis.

Comments:

Thank you for your important advice. As the reviewer pointed out, we added the parameter of the adjuvant treatment in the multivariate analysis in Table 2. It revealed non-adjuvant chemotherapy was one of the independent prognostic factors for overall survival. We revised our manuscript in the Results section accordingly.

2. Regarding the RRM1 band shift, the data did not clearly support the conclusion regarding the role of histone acetylation. If histone acetylation is responsible directly or indirectly for the upward shift of RRM1, one would expect a stronger bottom band and weaker top band with C646 treatment (fig 4E). Instead, it seems that both bands were lighter. So, histone acetylation does not seem to be responsible for this post-translation modification of RRM1, but perhaps on degradation or expression. It's probably some other protein modifications unrelated to the histone acetylation. How about ubiquitination, parylation, or sumolyation, etc.

Comments:

Thank you for your valuable question. We have repeated the experiment in Figure 4E with the additional administration of C646 monotherapy to address the reviewer’s suggestion. Interestingly, C646 decreased the expression level of RRM1. Although gemcitabine increased the band shift of RRM1, both the band shift after gemcitabine administration and the original expression level of RRM1 were decreased by C646 treatment. These experimental results indicated that RRM1 expression levels and changes in band shifted RRM1 expression are regulated by histone acetylation. Therefore, the relationship between histone acetylation and alteration of RRM1 expression after gemcitabine administration has been well established, and in this manuscript, we focused only on histone acetylation. The other translational modifications such as ubiquitination, parylation, and sumolyation, which were pointed out by the reviewer, are of very interest, however, will be the subject of future experiments. And we have clarified the relationship between RRM1 expression and histone acetylation has been clarified in our other papers under submission. The result is added in Figure 4E. The relevant parts of Results and Figure Legends sections have been revised accordingly.

3. In their conclusion, the authors stated "RRM1 activation". I am not sure what "activation" did the author refer to. All we have seen was a band shift with no clear mechanism. How do we know the higher molecular weight RRM1 is the active form?

Comments:

We appreciate your insightful suggestion. In this study, we confirmed that RRM1 expression in the cytoplasm was indeed increased in cancer cells acquiring gemcitabine resistance. The Western blot in Figure 4C showed that the band shifted RRM1 expression increased in response to gemcitabine treatment compared to the original band. Figure 5C also showed that the band shifted RRM1 expression was associated with the acquisition of gemcitabine resistance. We showed the results of fluorescence immunostaining in Figure 5B, suggesting that gemcitabine-resistant cancer cells were likely to have increased band shifted RRM1 expression mainly in the cytoplasm. Accordingly, total RRM1 expression combined with original band and band shifted form was activated. It is certainly difficult at this point to determine whether the band shifted RRM1 is in an activated form or not. However, from these experimental results representing Figure 4B and other figures, we can finally conclude that increased total RRM1 expression as RRM1 activation is associated in the acute phase of gemcitabine resistance, regardless of whether it is band shifted or original.

In consideration of the above, we have corrected the manuscript in the Abstract section, without including any definitive expressions that band shift RRM1 expression is an active form after gemcitabine exposure.

In conclusion, we would like to thank the reviewers for their careful reading of the manuscript and helpful suggestions. We believe the manuscript is much improved.

Sincerely yours,

Tomotaka Kato, MD

Hiroaki Ono, MD PhD

Attachment

Submitted filename: Response to Reviewers for 2nd revise.docx

Decision Letter 2

Irina V Lebedeva

26 May 2021

Cytoplasmic RRM1 activation as an acute response to gemcitabine treatment is involved in drug resistance of pancreatic cancer cells.

PONE-D-20-25361R2

Dear Dr. Ono,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Irina V. Lebedeva, Ph.D.

Academic Editor

PLOS ONE

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1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #3: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

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Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #3: Yes

**********

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Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #3: The authors have appropriately addressed all the comments and modified their conclusion based on their findings and limitations of the data. No further comments.

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Reviewer #3: No

Acceptance letter

Irina V Lebedeva

1 Jun 2021

PONE-D-20-25361R2

Cytoplasmic RRM1 activation as an acute response to gemcitabine treatment is involved in drug resistance of pancreatic cancer cells.

Dear Dr. Ono:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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on behalf of

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Associated Data

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

    Supplementary Materials

    S1 Fig. Immunohistochemical staining of total 12 cases of low-grade malignant pancreatic diseases.

    (A) Serous cyst neoplasia (SCN), (B) mucinous cyst neoplasia (MCN), (C) intraductal papillary mucinous neoplasia (IPMN) with low-grade dysplasia, and (D) IPMN with intermediate-grade dysplasia. No RRM1 expression was detected in all benign cases without malignant potential.

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    S2 Fig. Dose-response curve for hydroxyurea and gemcitabine.

    (A), (B) Cells (5–7.5×103 per well) were seeded and incubated overnight. Then each concentration of hydroxyurea or gemcitabine was administrated for 72 hours. (A) Cell viability analysis following hydroxyurea treatment in PSN1 and MIAPaCa2 cells (10 nM-10 mM). IC50 concentration for hydroxyurea was calculated at 140 μM for PSN1 and 328 μM for MIAPaCa2 cells. Cell viability was performed by WST-8 assay. (B) Cell viability analysis following gemcitabine treatment in PSN1, MIAPaCa2, and Panc1 cells (PSN1 and MIAPaCa2; 0.1 nM-1 μM, Panc1; 0.1 nM-10 μM).

    (TIF)

    S3 Fig. RRM1 alteration level after gemcitabine exposure in MIAPaCa2 and PSN1.

    Cancer cells were treated with siRRM1 or siNC for 12 hours. Subsequently gemcitabine was treated for 48 hours (MIAPaCa2; 20 nM and PSN1; 7.5nM). Top, representative Western blotting; bottom, the graph depicts averaged intensity of bands representing band shifted RRM1 expression comparing to original RRM1 intensity without gemcitabine, normalized to the intensity of bands representing GAPDH. Error bars represent mean ± SD. *p<0.05 vs cells with gemcitabine treated MIAPaCa2 cells by unpaired t-test. The Western blotting assay was performed in triplicate.

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    S4 Fig. Correlation between the level of expression of RRM1 and postoperative outcomes in patients who received GEM and S-1 adjuvant chemotherapy.

    (A) Kaplan-Meier curve for overall survival of patients who received S-1 adjuvant chemotherapy (S-1 group). (B) Kaplan-Meier curve for overall survival of patients who received gemcitabine-based adjuvant chemotherapy (GEM group).

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    S1 Raw images

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    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers for 2nd revise.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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