Kai Le1,2, Jia Wang1, Tao Zhang3, Yifan Guo1, Hong Chang4, Siyuan Wang5, Bin Zhu1. 1. Department of General Surgery, Peking University Ninth School of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. 2. Department of Urology Surgery, Aerospace Center Hospital, Beijing, China. 3. Department of General Surgery, Liang Xiang Teaching Hospital of Capital Medical University, Beijing, China. 4. Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. 5. Department of Rehabilitation Medicine, China-Japan Friendship Hospital, Beijing, China.
Pancreatic cancer (PC) is a malignant tumor of the digestive system with poor prognosis. PC usually refers to pancreatic ductal adenocarcinoma (PDAC) which is the most common type of PCs. It is predicted that PC will become the second leading cause of cancer-related mortality worldwide in the next decade.1-4 In recent years, the morbidity and mortality of PC have the trend of growth. It was estimated that by 2020, the incidence of PC would be as high as 420,000, and the number of related deaths would be about 410,000.5 Despite the improvements in therapy, the overall 5-year survival rates for PC remained relatively unchanged. PC remains a disease that does not respond well to surgery, chemotherapy, or radiotherapy. Difficulties in understanding the complex genetics of tumors, metabolic changes, complex interactions of PC cells with stromal cells, immune cells, and endothelial cells contribute to the poor overall therapeutic effects of anti-cancer therapy in patients with PC.6Mesothelin (MSLN) is a tumor-associated antigen firstly discovered in 1992.2,7 It is expressed in a limited number of healthy tissues, including the pleura, peritoneum, pericardium and epithelium of the trachea, but is highly expressed in several types of solid neoplasms, including malignant mesothelioma, ovarian cancer and PDAC.8,9 Previous studies have found that the overexpression of MSLN has implications to cancer development and progresssion.10,11 Its selective expression on malignant cells has made it an interesting candidate for investigation as a diagnostic and prognostic biomarker and as a therapeutic target. 2,10In this study, two independent anti- MSLN antibodies were used to evaluate the positive expression rate of cancer tissues and para-cancer tissues in 24 cases with PDAC by standardized manual immunohistochemical (IHC) detection method, and the correlation between MSLN expression and clinicopathological data was analyzed.
Material and methods
Patients and tissue samples
We collected paraffin tissues from 24 PDAC cases. Samples were from Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. All cancer and para-cancer tissue samples were obtained from radical operation of PC from 2013 to 2018. Complete clinical data (age, gender, tumor size, location, pathological type, lymphatic metastasis, differentiation degree and TNM stage) were recorded. The current study was approved by the local ethics committee. Written informed consent was obtained from the participants. These patients have not been treated with chemotherapy, radiotherapy and immunotherapy.
Monoclonal antibodies
Anti-MSLN antibodies which are “Rabbit monoclonal (EPR4509, ab133489) to Mesothelin” and “Rabbit monoclonal (EPR19025-42, ab196235) to Mesothelin” were purchased from Abcam.12 Antibodies were diluted 1:200 for EPR4509 and 1:2000 for EPR19025-42.
Immunohistochemistry (IHC)
All paraffin specimens were independently evaluated using a standardized manual IHC detection system. Antigen retrieval was performed for 3 minutes using an autoclave with citrate buffer (pH 6.0). Sections were probed with anti-MSLN antibodies in a humid chamber for 4 hours at room temperature and labeled using an EnVision Assay Kit (Dako) for 30 minutes without a signal amplification system. IHC of MSLN was assessed using a revised grading standard based on the scoring systems shown in Tables 1 & 2. IHC scores were performed by three pathologists without the need to predict FISH results. Three independent pathologists were not participating in the study program and were blinded to the group of the samples. The mean value of three pathologists was target score.
Table 1
Score (1) was determined from the percentage of stained tumor cells
Percentage of stained tumor cells
Score 1
0%
0
1-10%
1
11-50%
2
51-100%
3
Table 2
Score (2) was determined through the assessment of MSLN staining intensity
Staining intensity
Score (2)
No staining
0
Weak
1
Moderate
1
Strong
2
Evaluation standards
The target score was obtained from the addition of Scores (1) + (2). Positivity of MSLN was defined as a target score greater than three, or strong MSLN staining (as shown in Tables 1 & 2).13-15
Statistical analysis
All statistical analyses were performed using SPSS (Statistical Product and Service Solutions, IBM) software (version 21.0). Mean ± standard deviation was used for quantitative data. Data analysis was performed using the Chi-square test (Fisher's exact test) by professional statistician. A p-value < 0.05 was considered statistically significant.
Results
In PDAC tissues, MSLN was diffusely distributed on the cell membrane, with tan yellow or tan brown granules. Among the 24 samples of PDAC, 22 of the two antibodies EPR4509 and EPR19025-42 showed positive MSLN, with a positive expression rate of 91.67% (22/24), and the positive expression of the two antibodies was completely consistent in all tissue samples. No expression of MSLN was found in para-cancer tissues of the two antibodies, and the difference was statistically significant (χ2=40.615, p=0.000) (as shown in Fig. 1, 2 and 3). Of the cases, 95.45% (21/22) for EPR4509 and 90.91% (20/22) for EPR19025-42 showed MSLN positivity in over 50% of cells. Of these cases, 63.64% (14/22) for EPR4509 and 59.09% (13/22) for EPR19025-42 displayed strong MSLN staining. Approximately 59.09% (13/22) for EPR4509 and 50.00% (11/22) for EPR19025-42 had strong MSLN staining in over 50% of cells. When compared to PDAC, para-cancer tissues showed no MSLN expression using either EPR4509 or EPR19025-42 (p<0.05). There was no significant correlation between MSLN expression and clinicopathological factors, such as gender, tumor size, location, pathological stage, differentiation degree and lymph node metastasis(p>0.05) (as shown in Table 3).
Figure 1
(A) Positive expression of MSLN in PDAC for EPR4509. (B) No expression of MSLN in para-cancer tissue for EPR4509.
Table 3
Correlation between expression of MSLN and clinicopathologic characteristics
Clinical Pathology
Cases
χ2
p
Positive22 (91.67%)
Negative2 (8.33%)
Gender
Male
12
2
1.558
0.493
Female
10
0
Depth of invasion
T1
2
0
1.454
0.594
T2
8
0
T3
12
2
Lymph node metastasis
Yes
13
1
0.062
1.000
No
9
1
Pathological stage
I
2
0
1.866
0.507
II
16
1
III
4
1
Location
Head of pancreas
8
1
0.145
1.000
Body and tail of pancreas
14
1
Differentiation degree
High differentiation
0
0
2.805
0.239
Medium differentiation
20
1
Low differentiation
2
1
Discussion
PC is characterized by occult clinical manifestations, difficulty in early diagnosis, rapid progression and prone to distant metastasis.1,3,4 PC has become one of the major malignant tumors that seriously endanger human life and health.1-4 MSLN is a cell-surface protein expressed in a limited number of healthy tissues, but is highly expressed in several types of solid tumors, including malignant mesothelioma, lung adenocarcinoma, ovarian cancer, and PDAC.16-20 In PC, MSLN has been investigated mainly to address two unmet issues: the urgent need for new methods for early diagnosis and the lack of successfully targetable oncogenic alterations for patients' treatment.2,10,11 Up to now, several studies have evaluated the sensitivity, specificity, and accuracy of MSLN for PDAC diagnosis both on cytologic and histologic pancreatic specimens. Overall, MSLN achieved a 75% sensitivity, 80% specificity, and a diagnostic accuracy of 77% in predicting diagnosis of PDAC. In 2014, the Papanicolaou society of cytopathology included MSLN staining as a supportive tool for PDAC diagnosis. 21Regarding MSLN expression in PDAC, the first evidence was provided in 2001, Argani et al. found that MSLN mRNA expression was detected in four of four (100%) resected primary PDAC by in situ hybridization, as well as in 18 of 20 (90%) PDAC cell lines by reverse transcription polymerase chain reaction (RTPCR). 22 Inaguma et al. reported that the positive rates of two MSLN antibodies MN-1 and 5B-2 in the tissues of PDAC were 87% and 71% respectively.23 These lower detection rates may be related to the sensitivity and specificity of different MSLN antibodies used. Different antibodies recognize different epitopes and have different affinity with MSLN. In the same study, MSLN immunoreactivity was observed in malignant mesothelioma (78% vs 75%), uterine endometrioid adenocarcinoma (63% vs 62%), intrahepatic cholangiocellular carcinoma (41% for both), and invasive ductal carcinoma of the mammary gland (11% vs 12%). In our study, we utilized two independent antibodies for MSLN detection in PDAC. It is the first assessment of MSLN in PDAC using EPR4509 and EPR19025-42 clinically. Both anti-MSLN antibodies provided excellent signal quality. Our results showed high-levels (91.67%) of MSLN expression in PDAC tissues and no MSLN expression in para-cancer tissues. The positive expression of the two antibodies was completely consistent in all tissue samples.This indicates that PDAC has a higher positive MSLN expression rates than other solid tumors, which is related to different levels of methylation of MSLN epigenetic genes in different malignant tumors.23 Jhala and coworkers detected MSLN positive staining only in adenocarcinoma cells and not in reactive chronic pancreatitis cells (62% vs 0%) in 65 samples from pancreatic lesions.24 These studies may be helpful in differentiating chronic pancreatitis from PDAC through MSLN assessment. At the same time, IHC staining of MSLN can also be used to identify benign or malignant pancreatic ductal epithelial cells.22Argani et al considered that the lower the differentiation degree of PDAC, the higher the expression of MSLN22. The positive rate of MSLN in moderately and poorly differentiated PDAC tissues was significantly higher than that in highly differentiated PDAC tissues, suggesting that MSLN may be closely related to the biological behavior of PDAC. Research showed that the expression of MSLN could promote the proliferation and metastasis of PDAC cells, and was closely related to lymph node metastasis. Overexpression of MSLN could significantly increase the volume of tumors in mice and enhance the proliferation and migration ability of PDAC cells.25 However, our results showed that MSLN expression in PDAC tissue was not correlated with gender, tumor size, location, pathological stage, differentiation degree and lymph node metastasis, which is probably related to small sample. Of course, if the expression of MSLN in PDAC tissue is not correlated with the clinicopathological data, it is also possible that all PDACpatients with positive expression of MSLN can be targeted and immunotherapy related to MSLN without considering the patient's pathological stage, differentiation degree and lymph node metastasis.This differential expression may be more helpful for MSLN as a potential target for early diagnosis, targeting and immunotherapy of PDAC. Over the past years, several strategies have been investigated. They include the use of monoclonal antibodies against MSLN or protein carrying toxins or cytotoxic agents, chimeric T cells containing variable fragments that recognize MSLN, and specific vaccines that can induce T-cell immune response against MSLN.2,26,27 In patient-derived xenograft (PDX) models, Jiang and coworkers revealed that anti-MSLNCAR-T-cells could infiltrate PDAC and lead to tumor cell death, using human anti-MSLN antibodies P1A6E and P3F2.28 Similarly, in an engineered model of autochthonous PDAC, Stromne's and colleagues demonstrated that the engineered T-cells could suppress tumor growth in the absence of toxicity.29 These remarkable results have prompted research into this approach for PDAC.30-38 MSLN-based therapeutic strategies have obtained scant results in PDAC so far.28,39 Based on the rationale ensuing from preclinical work, it is hoped that MSLN-based therapy combined with other strategies, such as chemotherapy, targeted therapy and immunotherapy, will improve patient survival.2
Conclusion
MSLN was highly expressed on the cell membrane of PDAC tissues. No expression of MSLN was found in para-cancer tissues. The positive expression of the two antibodies EPR4509 and EPR19025-42 was completely consistent in all tissue samples. There was no significant correlation between MSLN expression and clinicopathological factors, such as gender, tumor size, location, pathological stage, differentiation degree and lymph node metastasis. The expression level of MSLN may have promising prospects in diagnosis, targeted therapy and immunotherapy of PDAC.
Authors: P Argani; C Iacobuzio-Donahue; B Ryu; C Rosty; M Goggins; R E Wilentz; S R Murugesan; S D Leach; E Jaffee; C J Yeo; J L Cameron; S E Kern; R H Hruban Journal: Clin Cancer Res Date: 2001-12 Impact factor: 12.531
Authors: Elliot L Servais; Christos Colovos; Luis Rodriguez; Adam J Bograd; Jun-ichi Nitadori; Camelia Sima; Valerie W Rusch; Michel Sadelain; Prasad S Adusumilli Journal: Clin Cancer Res Date: 2012-02-27 Impact factor: 12.531
Authors: Philip D Greenberg; Sunil R Hingorani; Ingunn M Stromnes; Thomas M Schmitt; Ayaka Hulbert; J Scott Brockenbrough; Hieu Nguyen; Carlos Cuevas; Ashley M Dotson; Xiaoxia Tan; Jennifer L Hotes Journal: Cancer Cell Date: 2015-10-29 Impact factor: 31.743
Authors: Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray Journal: Int J Cancer Date: 2014-10-09 Impact factor: 7.396
Authors: John P Neoptolemos; Jörg Kleeff; Patrick Michl; Eithne Costello; William Greenhalf; Daniel H Palmer Journal: Nat Rev Gastroenterol Hepatol Date: 2018-06 Impact factor: 46.802
Authors: Martijn A van Dam; Floris A Vuijk; Judith A Stibbe; Ruben D Houvast; Saskia A C Luelmo; Stijn Crobach; Shirin Shahbazi Feshtali; Lioe-Fee de Geus-Oei; Bert A Bonsing; Cornelis F M Sier; Peter J K Kuppen; Rutger-Jan Swijnenburg; Albert D Windhorst; Jacobus Burggraaf; Alexander L Vahrmeijer; J Sven D Mieog Journal: Cancers (Basel) Date: 2021-12-02 Impact factor: 6.639
Authors: Vida Mashayekhi; Orsola Mocellin; Marcel H A M Fens; Gerard C Krijger; Lodewijk A A Brosens; Sabrina Oliveira Journal: Theranostics Date: 2021-08-25 Impact factor: 11.556