alexa Prognostic Impact of Cancer Stem Cell-Like Phenotypes in Pancreatic Ductal Adenocarcinoma | Open Access Journals
ISSN: 2161-0681
Journal of Clinical & Experimental Pathology
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Prognostic Impact of Cancer Stem Cell-Like Phenotypes in Pancreatic Ductal Adenocarcinoma

Jin XH, Yamamoto K, Abe S, Onishi I, Kirimura S, Aihemaiti G, Kinowaki Y and Kitagawa M*

Department of Comprehensive Pathology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan

Corresponding Author:
Masanobu Kitagawa
Department of Comprehensive Pathology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan
Tel: +81-3-5803-5173
Fax: +81-3-5803-0123
E-mail: masa.pth2@tmd.ac.jp

Received Date: October 13, 2016; Accepted Date: October 18, 2016; Published Date: October 20, 2016

Citation: Jin XH, Yamamoto K, Abe S, Onishi I, Kirimura S, et al. (2016) Prognostic Impact of Cancer Stem Cell-Like Phenotypes in Pancreatic Ductal Adenocarcinoma. J Clin Exp Pathol 6:295. doi: 10.4172/2161-0681.1000295

Copyright: © 2016 Jin XH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Clinical & Experimental Pathology

Abstract

Aim: To investigate the expression of cancer stem cell-like phenotypes in invasive pancreatic ductal adenocarcinoma, we analysed the correlation between the expression status of stemness markers and minichromosome maintenance 2 (MCM2), and clinicopathological characteristics; we also evaluated the prognostic significance of cancer stem cell-like features. Methods and results: We performed immunohistochemical staining in 44 cases of invasive pancreatic ductal adenocarcinoma. Patients were classified into high-expression and low-expression groups on the basis of the expression level of CD133, CD44, ALDH1, EpCAM, and MCM2. Seventeen of the 44 cases (39%) demonstrated high expression levels of CD133, whereas 12 of the 44 cases (27%) demonstrated high expression levels of CD44; 36 of the 44 cases (81%) demonstrated high expression levels of ALDH1, and 21 of the 44 cases (47%) demonstrated high expression levels of EpCAM. MCM2 was expressed in the nuclei of cancer cells with a positive cell ratio that ranged from 10% to 70%. Frequent positive stemness markers and/or a low expression of MCM2 was significantly correlated with worse overall survival (P=0.030). We defined frequent positive stemness markers (number of highly expressed markers>3) and/or a low expression of MCM2 phenotypes as the representative pattern of a cancer stem cell-like phenotype. The cancer stem cell-like phenotype was identified as an independent factor of overall survival by univariate (P=0.03) and multivariate analysis (hazard ratio, 2.763%; 95% confidence interval, 1.121-6.813; P=0.0273). Conclusion: The cancer stem cell-like phenotype could be involved in therapeutic resistance, resulting in worse overall survival. The cancer stem cell-like phenotype can be an indicator of recurrence in cases of invasive pancreatic ductal adenocarcinoma.

Keywords

Pancreatic cancer; Invasive ductal adenocarcinoma; Immunohistochemistry; Prognosis; Cancer stem cell; MCM2

Introduction

Pancreatic cancer has the most aggressive character of any cancer, with a median survival of less than 6 months and a 5-year survival rate of less than 5% [1]. Furthermore, the lethality of this cancer has improved little during recent years [2]. The mechanisms underlying the high mortality of pancreatic cancer might not be simple; however, the contributing factors might include a locally advanced presentation and distant metastases, because sometimes the symptoms become obvious only in the advanced stages of this disease. Indeed, pancreatic cancer is a systemic disease with multiple metastases. Furthermore, pancreatic ductal adenocarcinoma (PDAC), the most common type of this cancer, responds poorly to conventional chemotherapeutic agents. Thus, pancreatic cancer remains a difficult disease to cure, and novel strategies for its treatment should be elucidated.

Recently, cancer stem cells have been identified for many neoplasms including hematopoietic, hepatic, ovarian, head and neck, prostatic, brain, bladder, breast, colorectal, and pancreatic cancers [3-5]. These cells are characterized by having several potentials including an extensive self-renewal ability, demonstrated either ex vivo or in vivo , a pluripotent differentiating capacity, and a cancer-initiating ability upon orthotopic implantation [6]. However, the classic definition of cancer stem cells should be re-evaluated by including recent knowledge resulting from the progress of studies in this field [7]. These putative cancer stem cells are often demonstrated in human cancer tissues as well as in cell line cells using cell surface markers such as CD44, CD24, CD34, epithelial specific antigen (ESA), CD133, EpCAM, and ALDH1 [5,8-12].

Cancer stem cells are believed to be resistant to chemotherapy as well as radiotherapy, although the mechanisms are not fully understood [13]. However, several factors are documented such as resistance to apoptosis, improved DNA repair, increased tolerance of DNA damage, low mitotic rate, increased ALDH1 oxidation of aldehydes or detoxification, and resistance via multi-drug resistant ABC transporters [2,14-18]. Cancer stem cells could be the therapeutic target of cancers [19,20]. Expression of stem cell markers has been linked to shorter survival in many types of cancers. For pancreatic cancers, CD133+ [21], CD44+, CD24+, ESA+ and ALDH1+ phenotypes [15,22,23] are associated with chemo resistance or radio resistance as well as worse patient prognosis.

In the present study, we used immunohistochemistry to investigate the expression of stemness markers-CD133, CD44, ALDH1, and EpCAM in samples of PDAC tissues. In addition, we estimated the frequency of the expression of minichromosome maintenance2 (MCM2) in tumor cells of the samples, which is known to reflect the cellular proliferative potential/status [24,25]. We expected that the combination of stemness marker expression and MCM2 expression would more precisely demonstrate the cancer stem cell-like phenotype in tumor tissues from patients with pancreatic cancer. Then, we analysed the correlation between the cancer stem cell-like phenotype and clinicopathological features as well as prognostic factors of patients with invasive PDAC.

Materials and Methods

Patients

According to the pathological database, during 2000-2014, 104 patients underwent pancreatic resection for invasive PDAC at the Tokyo Medical and Dental University Hospital. All pathological specimens were reviewed and re-evaluated for the histological type and pathological parameters according to the criteria by the WHO classification of 2010 [26]. Consequently, 44 cases were included in this study. Clinical and demographic information was collected from patient charts. The median age of the patients was 71 years (range, 29-86 years). According to the WHO staging system [26], 3 tumors were classified as stage I, 4 as II, 18 as III, 23 as IVA, and 6 as IVB. Lymph node dissection was performed in 28 patients. Forty-two patients underwent adjuvant chemotherapy and/or radiotherapy. The median follow-up period was 14 months (range, 1-122 months). During the follow-up period, 24 patients died because of pancreatic cancer. Overall survival (OS) was defined as the period between the day of operation and day of death, and recurrence-free survival (RFS) was defined as the period between the day of operation and day of recurrence detected by an imaging modality or by pelvic examination. The procedure of this study was approved by the Ethical Committee of Tokyo Medical and Dental University on June 23, 2015 (No. 1458).

Immunohistochemical staining

The antibodies used in this study are listed. One representative lesion of each case was selected for immunohistochemical staining of a formalin-fixed, paraffin-embedded tissue sample. Positive and negative controls were also used appropriately. The 4 μm thick paraffin sections were cut and placed on silane-coated glass slides. The sections were deparaffinized in xylene and rehydrated in downgraded alcohol. The antigen retrieval procedure was performed by autoclaving at 121°C for 20 min in citrate buffer (pH 6.0) for EpCAM and in antigen retrieval solution (pH 9.0; Nichirei Biosciences, Tokyo, Japan) for MCM2. For CD133 and ALDH1, the procedure was performed by microwaving at 97°C for 40 min in antigen retrieval solution (pH 9.0). The slides were then immersed in 3% H2O2-methanol for 10 min and pre-incubated with normal horse serum for 30 min. The sections were incubated overnight at 4°C with each antibody. Each antibody was detected by the avidin-biotinylated enzyme complex method (R.T.U. Vectastain Universal Elite ABC Kit, Vector Laboratories, Burlingame, CA, USA). The antibody against MCM2 was detected by the Novolink Polymer (RE7200-K, Leica Biosystems, Wetzlar, Germany). The DAB Peroxidase Substrate kit (Vector Laboratories) was used for the chromogenic reaction. DAB was used as a chromogen for CD133, CD44, ALDH1, and EpCAM, and Nickel DAB was used for MCM2. All sections were counterstained with Mayer’s hematoxylin.

Double immunostaining

The expression of MCM2 and the stemness markers was examined using a double immunostaining method. For double immunostaining, heat treatment and blocking were performed between each step. We used human tonsil samples as positive controls and confirmed that there was no cross reaction among the antigen detection steps.

  Clone Animal species Company Dilution
MCM2 BM28 Mouse, monoclonal BD Transduction Laboratories, NJ, USA 1:2000
CD133 PROM1 Rabbit polyclonal Abnova, Taiwan 1:100
CD44 EPR1013Y Mouse, monoclonal Abcam, UK 1:1000
ALDH1 EP1933Y Rabbit monoclonal Abcam, UK 1:1000
EpCAM VU-1D9 Mouse, monoclonal Calbiochem, Germany 1:1000

Table 1: The properties of the antibodies used in this study.

Evaluation of immunostaining

The entire sections were evaluated via immunohistochemistry. MCM2 staining was judged as positive when an immunoreaction was observed in the nucleus. In contrast, positive CD133, CD44, ALDH1, and EpCAM expression was confirmed when a definite membrane/ cytoplasmic immunoreaction were observed. The expression extent of MCM2 was evaluated as follows: low when <30% of positive tumor cells were detected and high when >30% of positive tumor cells were detected. The MCM2 labelling index was calculated as the percentage of positive nuclear cells in at least 1000 tumor cells counted. All immunohistochemical slides were evaluated three times by XJ (pathologist), who was blinded to the clinical data. If the results of the three evaluations differed, a final evaluation was made by consensus with another pathologist (KY and MK). Most of the stained sections showed nearly obvious differences between the high and low expression groups.

Statistical analyses

All statistical analyses were conducted with the EZR software (Saitama Medical Centre, Jichi University, Japan). For the analysis of OS and RFS, survival curves were generated by the Kaplan-Meier method and were compared by the log-rank test. A Cox proportional hazards model was used for the univariate and multivariate analyses of OS and RFS. For all statistical analyses, a P-value <0.05 was considered significant.

Results

Expression level of stemness markers and MCM2

To check the expression level of each stemness marker and MCM2, we performed immunohistochemical staining (Figure 1).

clinical-experimental-pathology-counterstained-hematoxylin

Figure 1: Immunohistochemical staining for CD133, CD44, ALDH1, and EpCAM in pancreatic ductal adenocarcinoma cases (400 Χ original magnification). Positive and negative staining for (A, E) CD133, (B, F) CD44, (C, G) ALDH1, and (D, H) EpCAM. Each was counterstained by hematoxylin.

For CD133, a positive signal was detected in the cytoplasm, and the positivity ranged 0%-60% (median, 20%) (Figure 2).

clinical-experimental-pathology-Immunohistochemical-localization-stemness

Figure 2: Immunohistochemical localization of each stemness marker and MCM2. Both stemness markers (cytoplasmic/cell surface: brown [DAB], black arrowhead) and MCM2 (nuclear: gray [Nickel DAB), arrowhead) were exclusively positive (A, CD133; B, CD44; C, ALDH1). (D) EpCAM co-localized with MCM2 (arrow).

Using the condition of a 5% threshold, 17 of 44 cases (39%) were positive for CD133. For CD44, a positive signal was detected in the cell membrane, and the positivity ranged 0%–30% (median, 10%). Using the condition of a 5% threshold, 12 of 44 cases (27%) were positive for CD44. For ALDH1, a positive signal was detected in the cytoplasm, and the positivity ranged 0%-90% (median, 60%). Using the condition of a 20% threshold, 36 of 44 cases (81%) were positive for ALDH1. For EpCAM, a positive signal was detected in both the cytoplasm and cell membrane, and the positivity ranged 0%-40% (median 20%). Using the condition of a 10% threshold, 21 of 44 cases (47%) were positive for EpCAM. MCM2 was localized to the nucleus, and the positivity ranged 10%-70% (median, 30%). To determine whether each stemness marker and MCM2 co-localize, we performed double immunostaining (Figure 2). Among the positive cases of stemness markers, EpCAM tended to co-localize with MCM2. In contrast, CD133, ALDH1, and CD44 tended to be exclusively positive with MCM2 (Figure 3).

clinical-experimental-pathology-stemness-scoring-system

Figure 3: Survival analysis according to the expression of stemness markers by the Kaplan–Meier method. Overall survival (OS) in (A) CD133, (C) CD44, (E) ALDH1, and (G) EpCAM. Relapse free survival (RFS) in (B) CD133, (D) CD44, (F) ALDH1, and (H) EpCAM. (I) OS and (J) RFS classified by a stemness scoring system.

Correlation between the expression of stemness markers and clinicopathological findings

Next, we analysed the correlation between the expression of each stemness marker and clinicopathological findings. There were no significant differences in either OS or relapse-free survival (RFS) among the four stemness markers (Figure 3). To evaluate the frequency of stemness positivity in each case and clinicopathological findings, a stemness scoring system was established: score 0, negative for all the four stemness markers; score 1, positive for only one stemness marker; score 2, positive for two stemness markers; score 3, positive for three stemness markers; score 4, positive for all the stemness markers. As shown in Figure 3, although there were no significant differences, patients with a high stemness score tended to have a worse clinical course with respect to OS and RFS.

Correlation between the expression of stemness markers and MCM2 and clinicopathological findings

We then investigated the correlation between the expression of stemness markers and MCM2 and clinicopathological findings (Figure 4). For CD133 and MCM2, MCM2-low and CD133-positive patients had a significantly worse OS than MCM2-high and CD133-negative patients (P=0.014) (Figure 4). For ALDH1 and MCM2, MCM2-low and CD133-positive patients had a significantly worse OS than MCM2-high and ALDH1-positive patients (P=0.019) (Figure 4). For EpCAM and MCM2, MCM2-low and EpCAM-negative patients had a significantly worse OS than MCM2-high and EpCAM-negative patients (P=0.041) (Figure 4). Interestingly, there was a tendency for patients determined as stemness marker positive with low expression of MCM2 to have a worse prognosis than those with a high expression of MCM2 (Figure 4).

clinical-experimental-pathology-Survival-analysis-according

Figure 4: Survival analysis according to the expression of stemness markers and MCM2. OS in (A) MCM2 and CD133 expression (*; P<0.05), (C) MCM2 and CD44, (E) MCM2 and ALDH1 (†; P<0.05), and (G) MCM2 and EpCAM (§; P<0.05). RFS in (B) MCM2 and CD133, (D) MCM2 and CD44, (F) MCM2 and ALDH1 (‡; P<0.05), and (H) MCM2 and EpCAM (||; P<0.05).

Prognostic significance of the cancer stem cell-like phenotype on overall survival

Considering the fact that patients with a high frequency of stemness marker expression tended to have a worse clinical outcome (Figure 3), we hypothesized that both, a high expression of stemness markers (scores 3 and 4) and a low expression of MCM2 (scores 1 and 2), had a common cancer stem cell-like potential. To verify this hypothesis, we compared cases with a high MCM2 plus a low stemness score (scores 1 and 2) and cases of low MCM2 plus a low stemness score (score 1 and 2). As shown in Figure 5, patients with a high MCM2 plus a low stemness score (scores 1 and 2) had a significantly worse clinical outcome in terms of OS (P=0.024). Because there was no significant prognostic difference between those with a high stemness score (scores 3 and 4) alone and those with low MCM2 plus a low stemness score (scores 1 and 2), we defined a high stemness score and a low MCM2 expression with stemness score (scores 1 and 2) as a stem cell-like phenotype. The group with stem cell-like phenotype, with high MCM2 and a stemness score of 1 or 2, had a significantly worse OS (P=0.030) and RFS (P=0.019) (Figure 5).

clinical-experimental-pathology-Survival-analysis-classified

Figure 5: Survival analysis classified by the stemness potential. (A) OS and (B) RFS classified by a stemness score of 3 and 4, a stemness score of 1 and 2 with low MCM2, and a stemness score of 1 and 2 with high MCM2 (*; P<0.05). (C) OS and (D) RFS classified by stem cell-like phenotype (†, ‡; P<0.05).

To evaluate the relationship between clinical outcome and stem celllike phenotypes in PDAC, various clinicopathological factors were investigated. There was no correlation between the stem cell-like phenotype and any clinicopathological factor including age, sex, smoking, diabetes, venous permeabilization, lymphatic permeabilization, neural invasion, jaundice, lymph node metastasis, tumor site, tumor size, tumor differentiation, and tumor stage (Table 2).

  Stem cell marker P-values
Stem cell-like phenotype Non-stem cell-like phenotype
Age      
≥60y 19 16 0.262
<60y 3 6
Gender      
Male 8 14 0.070
Female 14 8
Smoking      
Yes 2 4 0.380
No 20 18
Diebetes      
Yes 9 7 0.531
No 13 15
Venous permeabilization      
Yes 21 22 0.312
No 1 0
Lymphatic permeabilization      
Yes 20 18 0.380
No 2 4
Neural invasion      
Yes 20 20 0.600
No 2 2
Jaundice      
Yes 6 7 0.741
No 16 15
Lymp node metastasis      
Yes 7 9 0.531
No 15 13
Tumor site      
Head 10 8 0.540
Body 12 14
Tumor size      
≤4 16 17 0.728
>4 6 5
Tumor differentiation      
Well 5 7 0.499
Med, por 17 15
Tumor stage      
I, II 3 4 0.680
III, IV 19 18

Table 2: Patient characteristics as stratified by stem cell-like phenotype status.

These results suggested that the stem cell-like phenotype is a potential independent prognostic factor for PDAC. In the uni-variate analysis, tumor size (P=0.027), tumor stage (P=0.0083), and stem celllike phenotype (P=0.030) were significantly associated with worse overall survival (Table 3). In the multivariate Cox regression model, tumor stage (P=0.0144) and stem cell-like phenotype (P=0.0273) remained independent factors of poor prognosis (Table 3).

Variable Category No. of patients P value by Wilcoxon test HR* 95% Cl P value by Cox proportional hazards
Age ≥60y       35 0.458      
<60y 9      
Gender Male       22 0.798      
Female 22      
Smoking Yes          6 0.100      
No 38      
Diabetes Yes 16 0.607      
No 28      
Venous permeabilization Yes 43 0.187      
No 1      
Lymphatic permeabilization Yes 38 0.273      
No 6      
Neural invasion Yes 40 0.090      
No 4      
Jaundice Yes 13 0.764      
No 31      
Lymph node metastasis 0 16 0.500      
≥1 28      
Tumor site Head 26 0.889      
Body, Tail 18      
Tumor size ≤4cm 33 0.027      
>4cm 11      
Differentiation Mod, por 32 0.730      
Well 12      
Tumor stage I, II 7 0.008     0.0144
III, IV 37
Stem cell-like phenotypes Stem cell like 22 0.030 2.763 1.121-6.813 0.0273
Non-stem cell like 22

Table 3: Univariate and multivariate analyses of stem cell-like phenotype influencing overall survival.

Discussion

Regarding the stemness markers of pancreatic cancer, the strong expression of CD133, CD44, ALDH1, and EpCAM in cancer cells did not correlate with patient prognosis (RFS and OS). These results were not necessarily consistent with those of previous studies [15,21-23], probably due to the differences in numbers and characteristics of patients with PDAC in the present study.

Having cancer cells with a higher expression of MCM2 was associated with a better prognosis in the present study. In other cancers, MCM2 expression correlates with increased cancer proliferation as well as poor prognosis [27-29]. Usually, cancer stem cells are expected to have low proliferative activity and pluripotent activity of cell differentiation. Thus, in pancreatic cancers, the characteristic of stemness in cancer cells with high MCM2 expression might be associated with a worse prognosis. This would be consistent with the chemo- and/or radio-therapy-resistant nature of cancer stem cells. Furthermore, we showed that stemness phenotype, defined as a stemness score of 3 and 4 or a score of 1 and 2 with low expression of MCM2, represented a poor prognosis for pancreatic cancer patients. This combination of phenotypes might more precisely evaluate the cancer stem-like feature of cancer cells in the pathological samples of pancreatic cancers.

In addition to the stemness marker phenotype, several phenotypes of pancreatic cancers have been shown to be associated with patient survival. They include epithelial mesenchymal transition (EMT)- associated markers [30], WNT signal-associated markers [31], microRNAs [32], mucin markers [33], p53, and Ki-67 [33,34]. The interaction between stemness markers and previously defined prognostic factors should be clarified to further analyze the phenotypespecific character of cancer cells in relation to the biological behavior of pancreatic cancer.

A limitation of this study was the small number of pancreatic cancer cases. Further studies using a larger cohort are necessary for the precise estimation of the effect of cancer stemness markers/MCM2 expression on the prognosis of patients with pancreatic cancer.

Acknowledgement

This work was supported in part by a Grant-in-Aid from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (No. 15K08394).

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Article Usage

  • Total views: 8204
  • [From(publication date):
    October-2016 - Oct 17, 2017]
  • Breakdown by view type
  • HTML page views : 8146
  • PDF downloads :58
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

agrifoodaquavet@omicsonline.com

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

clinical_biochem@omicsonline.com

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

business@omicsonline.com

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

chemicaleng_chemistry@omicsonline.com

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

environmentalsci@omicsonline.com

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

engineering@omicsonline.com

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

generalsci_healthcare@omicsonline.com

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

genetics_molbio@omicsonline.com

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

immuno_microbio@omicsonline.com

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

omics@omicsonline.com

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

materialsci@omicsonline.com

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

mathematics_physics@omicsonline.com

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

medical@omicsonline.com

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

neuro_psychology@omicsonline.com

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

pharma@omicsonline.com

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

social_politicalsci@omicsonline.com

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords