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Research ArticleExperimental Studies

Proteomic Analysis of Malignant Ascites From Patients With Pancreatic Ductal Adenocarcinoma

FUMIMASA KITAMURA, TATSUNORI MIYATA, NORIO UEMURA, TOMOYUKI UCHIHARA, KATSUNORI IMAI, HIROMITSU HAYASHI, YO-ICHI YAMASHITA, KEISUKE MATSUSAKI, TAKATSUGU ISHIMOTO and HIDEO BABA
Anticancer Research June 2021, 41 (6) 2895-2900; DOI: https://doi.org/10.21873/anticanres.15071
FUMIMASA KITAMURA
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
2The Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan;
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TATSUNORI MIYATA
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
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NORIO UEMURA
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
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TOMOYUKI UCHIHARA
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
2The Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan;
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KATSUNORI IMAI
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
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HIROMITSU HAYASHI
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
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YO-ICHI YAMASHITA
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
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KEISUKE MATSUSAKI
3Kanamecho Hospital, Tokyo, Japan;
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TAKATSUGU ISHIMOTO
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
2The Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan;
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HIDEO BABA
1Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan;
4Center for Metabolic Regulation of Healthy Aging, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
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  • For correspondence: hdobaba{at}kumamoto-u.ac.jp
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Abstract

Background/Aim: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignant tumor. Research using an innovative research approach is needed to identify effective biomarkers or therapeutic targets for PDAC. We aimed to identify proteins related to the peritoneal dissemination of PDAC. Materials and Methods: We performed proteomic analysis using ascites samples from patients with advanced PDAC and peritoneal dissemination and patients with liver cirrhosis (LC). Proteins specific to PDAC were identified in comparison to the findings for ascites from patients with LC as a control group. Results: In total, 336 proteins were identified in ascites from patients with PDAC. We identified 18 specific proteins in ascites from patients with advanced PDAC. Among these proteins, CD13, lymphatic vessel endothelial hyaluronan receptor 1, ficolin-3, and V-set and immunoglobulin domain containing 4 were the most frequently detected. In addition, these 18 proteins could be classified into four categories: extracellular matrix, immunity, metabolism, and others. Conclusion: The identified proteins could be informative for developing treatment strategies for patients with PDAC and peritoneal dissemination.

Key Words:
  • Biomarker
  • malignant ascites
  • pancreatic ductal adenocarcinoma
  • proteomics

Pancreatic cancer is the fourth-leading cause of cancer-related death (1, 2), and approximately 90% of cases are pancreatic ductal adenocarcinoma (PDAC) (3). Patients with PDAC have poor prognoses because of the lack of symptoms in the early stage and difficulty in early detection in most cases (4). Despite pancreatic resection, the 5-year survival rate is only 20% (4). To improve the prognosis of patients with PDAC, identification of new biomarkers and therapeutic targets is urgent.

Currently, the prognosis of patients with PDAC has been improved by surgery combined with chemotherapy or chemoradiotherapy as neoadjuvant or adjuvant therapy (5, 6). These treatments are effective for some patients; however, chemotherapy or chemoradiotherapy have adverse effects in other patients in addition to being ineffective (7). This is not limited to pancreatic cancer because cancer cells are highly diverse and have different characteristics, even in the same cancer (8). Therefore, it is essential to examine the characteristics of each pancreatic cancer on the basis of the degree of progression and patient factors as well as the characteristics of cancer cells before starting treatment to improve outcomes.

CA19-9 is a well-documented and validated serum biomarker associated with pancreatic cancer (4). To identify more useful biomarkers and therapeutic targets, several studies have examined gene mutation or DNA methylation (9). However, gene mutation and DNA methylation are not always reflected by protein expression (10). Because protein expression determines the phenotype of cancer, proteomics is very important in cancer research. Proteomics can provide valuable information related to the molecular mechanism of cancer development and progression, therapeutic targets, and biomarkers (11). Accumulating evidence has illustrated that proteomics is a useful technology for identifying therapeutic targets in cancers (12). In PDAC, a previous study has identified 20 proteins utilizing three ascites samples from patients with advanced pancreatic cancer (13). However, the study did not perform a direct comparison with non-malignant ascites.

The present study aimed to identify protein biomarkers specific to advanced PDAC by utilizing proteomics and ascites from patients with advanced PDAC and peritoneal dissemination. We identified 18 proteins specific to advanced PDAC by comparing the results with those of ascites from patients with liver cirrhosis (LC). In addition, we classified these proteins on the basis of their functions and roles in cancer.

Materials and Methods

Proteomics. Kanamecho Hospital provided ascites from patients with intractable ascites during cell-free and concentrated ascites reinfusion therapy. Samples were cryopreserved at −80°C. We evaluated ascites from 10 patients with PDAC and 3 patients with LC as controls.

Proteomics was conducted as described in previous reports (14, 15). Proteins were separated by 10% SDS-PAGE (#2331830, ATTO, Tokyo, Japan) until they were 1 cm from the well and then stained with GelCode™ Blue Safe Protein Stain (#24594, Thermo Fisher Scientific, Waltham, MA, USA) for in-gel digestion. Protein-containing gel was excised and cut into approximately 1-mm pieces. Proteins in the gel pieces were reduced with DTT (#P2325, Thermo Fisher Scientific), alkylated with iodoacetamide (#A39271, Thermo Fisher Scientific), and digested with trypsin and lysyl endopeptidase (Promega, Madison, WI, USA) in a buffer containing 40 mM ammonium bicarbonate (pH 8.0) overnight at 37°C. The resultant peptides were analyzed using an Advance UHPLC system (AMR/Michrom Bioscience, Radnor, PA, USA) coupled to a Q-Exactive mass spectrometer (Thermo Fisher Scientific), and the raw mass spectrum data were processed using Xcalibur (Thermo Fisher Scientific). Raw data from liquid chromatography coupled to tandem mass spectrometry were compared against the SwissProt database restricted to Homo sapiens using Proteome Discoverer version 1.4 (Thermo Fisher Scientific) with Mascot search engine version 2.5 (Matrix Science, London, UK). A decoy database comprising either randomized or reversed sequences in the target database was used for false discovery rate (FDR) estimation, and the Percolator algorithm was used to evaluate false positives. The results were filtered using the criterion of a global FDR of 1% to ensure a high confidence level.

Results

Specific proteins in ascites from patients with PDAC. We first compared the identified proteins in ascites from patients with PDAC with those from patients with LC. Because LC is the most common non-malignant disease that causes ascites, we excluded the proteins contained in ascites from patients with LC to identify proteins specific for malignant tumors. Immunoglobulins and keratin were also excluded. All LC samples were obtained from male patients with a median age of 59 years (range=55-77 years), and PDAC samples were obtained from three male (30%) and seven female (70%) patients with a median age of 77 years (range=49-88 years, Table I). One case of PDAC involved bloody ascites.

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Table I.

Background of PDAC ascites samples.

We detected 336 proteins in ascites from patients with PDAC, and 187 proteins were detected in multiple PDAC samples. Of these, 169 proteins were common to ascites from both patients with PDAC and those with LC. Eventually, we identified 18 specific proteins in ascites from patients with PDAC (Figure 1). The rates of positivity differed among the proteins, and CD13, lymphatic vessel endothelial hyaluronan receptor 1 (LYVE1), ficolin-3, and v-set and immunoglobulin domain containing 4 (VSIG4) were the most frequently observed in ascites from patients with advanced PDAC, each being detected in five (50%) samples (Figure 1).

Figure 1.
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Figure 1.

The identified proteins in PDAC ascites.

The functions and roles of specific proteins in ascites from PDAC. Next, we classified these 18 proteins on the basis of their functions or roles (Figure 1) as follows: extracellular matrix (ECM, n=6, 33%), immunity (n=3, 17%), metabolism (n=3, 17%), and others (n=6, 33%, Figure 2). LYVE1, thrombospondin-4 (TSP-4), and versican core protein were categorized as ECM-related proteins, and ficolin-3, VSIG4, and C4b-binding protein β chain (C4BPB) were classified as immunity-related proteins by proteomics utilizing ascites from patients with advanced PDAC (Figure 1).

Figure 2.
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Figure 2.

Functional classification of the identified proteins.

Discussion

Several studies have assessed surgery plus chemotherapy or chemoradiotherapy in the treatment of PDAC, but the postoperative prognosis remains poor. New therapeutic targets are needed to develop more effective treatment strategies and improve patient prognosis. In this study, using proteomics and ascites from patients with PDAC or LC, we identified 18 specific proteins in malignant ascites from patients with advanced PDAC and peritoneal dissemination. Our data suggest these proteins can be targets to develop new treatment strategies by clarifying their roles in the progression of PDAC.

Proteomics is a useful technology for analyzing the identity of an organism (16), and it provides valuable information that is directly relevant to protein function in cancer. In pancreatic cancer, proteomics has already been used to detect useful biomarkers or therapeutic targets (11, 17). Kosanam and colleagues identified 20 proteins utilizing three malignant ascites samples from patients with advanced PDAC (13). To the best of our knowledge, no study has performed proteomics using both ascites from patients with PDAC and non-malignant ascites. In fact, our data revealed that most proteins in ascites from patients with LC overlapped with the proteins identified in patients with PDAC, suggesting that they are not malignancy-specific. Taken together, our results are novel, and provide insights into proteomics in PDAC.

Peritoneal dissemination is often found in staging laparoscopy, even in resectable pancreatic cancers (18), and it is one of the factors that contributes to poor prognoses. Various mechanisms have been demonstrated to promote peritoneal dissemination, which consist of multiple steps occurring through the coordinated interaction of cancer cells and other cells, such as cancer-associated fibroblasts or immune cells (19). This study illustrated that the most common proteins specific to PDAC were ECM-related proteins. ECM is involved in the migration and proliferation of cancer cells and the formation of metastatic scaffolds (20). Therefore, proteins related to ECM also play a pivotal role in peritoneal dissemination (21, 22). In fact, versican, a large ECM proteoglycan (23), has been reported to be involved in peritoneal mesothelial cell attachment, spheroid formation, and peritoneal tumor formation in mice (21). Versican is highly expressed in pancreatic cancer tissue, and, similar to decorin, it is also associated with the malignant phenotype of pancreatic cancer (24, 25). LYVE1, the receptor for hyaluronan in lymphatic vessel endothelium (26), promotes metastasis via lymphatic vessels (27). In addition, mice with ovarian cancer display massive infiltration of CD11b(+)/LYVE1(+) macrophages, which promote lymphatic remodeling by secreting VEGF family ligands, resulting in massive ascites formation (22). In fact, Radon and colleagues identified urinary LYVE1 as a useful biomarker to distinguish patients with early-stage PDAC from healthy individuals (28). High XVIII collagen expression in stroma has been associated with shorter survival in PDAC in prior research (29). To the best of our knowledge, TSP-4, a secreted ECM protein (30), has not yet been studied in PDAC.

In recent years, immunotherapy has attracted attention in clinical practice and in the field of pancreatic cancer (31). Immune cells in malignant ascites can potentially serve as therapeutic targets in advanced cancer. Ficolin-3 is a pattern-recognition molecule with the ability to activate the lectin pathway of complement (32). Serum ficolin-3 levels have been identified as an independent prognostic biomarker for disease-specific and overall survival in patients with esophageal cancer (33). VSIG4 is a potent negative regulator of T-cell responses, and has been suggested to regulate antitumor immunity (34). VSIG4 expression was significantly decreased in HCC tissues and HCC cell lines, and disease-free survival in patients with hepatitis B virus-related HCC and low VSIG4 expression was shorter than that of patients with high VSIG4 expression, which was consistent with the results of bioinformatics analysis (35). C4b-binding protein (C4BP) is a protein complex involved in the complement system where it acts as inhibitor. C4BPB can modulate CD40 to sCD154 interactions by forming a high-molecular-weight multimeric sCD154 and C4BPB complex that suppresses critical intracellular signaling pathways, permitting cell survival without inducing proliferation. Immunohistochemistry has demonstrated the co-localization and enhanced expression of C4BPB and CD40 in human liver cancers (36). To the best of our knowledge, no study has examined the roles of ficolin-3, VSIG4, and C4BPB in PDAC.

Pancreatic cancer cells are characterized by extensively reprogrammed metabolism, which is driven by oncogene-mediated cell-autonomous pathways, the unique physiology of the tumor microenvironment, and interactions with non-cancer cells (37). Aminopeptidase N (CD13) is a widely expressed ectoenzyme with multiple functions (38). CD13 has been reported to be associated with prognostic markers for pancreatic cancer (39). However, the detailed role of CD13 in pancreatic cancer is unknown. Lactate dehydrogenase A, an enzyme that catalyzes the interconversion of pyruvate and lactate, promotes cancer cell invasion, anoikis resistance, and tumor metastasis (40). It has been reported that glycolysis is enhanced in the ascites of patients with malignant lymphoma (41). Apolipoprotein C-II (ApoCII) is involved in lipid metabolism, and serum ApoCII levels independently predict survival and improve the selection of patients with PDAC for pancreaticoduodenectomy (42). ApoCII has also been detected in the plasma of patients with colorectal cancer via proteomics (43).

We identified six proteins with function other than extracelluer matrix, immunity and metabolism and the identified proteins have unique characteristics. Platelet-derived glycoprotein Ibα is a platelet surface membrane glycoprotein. Platelets promote the formation of ovarian cancer spheres that express metastasis-initiating cell markers and metastatic protein tissue factor (44). Endosialin (CD248)-expressing pericytes in primary tumors facilitate distant site metastasis by promoting tumor cell intravasation in a cell contact-dependent manner, resulting in elevated numbers of circulating tumor cells (45).

This study has multiple limitations. First, we did not have sufficient patient information such as treatment history, tumor marker expression, or stage. Second, we could not obtain more samples for validation. However, no prior study identified PDAC-specific proteins using patient ascites; therefore, our findings provide new insights in this field. In conclusion, we identified proteins specific to malignant ascites that may be involved in cancer progression. Additional research is needed to validate these proteins and identify new diagnostic and therapeutic targets for PDAC.

Acknowledgements

The Authors would like to thank Joe Barber Jr., PhD, from Edanz Group (https://en-author-services.edanz.com/ac) for editing a draft of this manuscript.

Footnotes

  • Authors’ Contributions

    Conception and design were contributed by FK, TM. Experimental samples were provided by KM. The experiment was performed by NU, TU, KI, and HH. Data analysis and interpretation were contributed by FK, YY and TI. Drafting of manuscript was performed by FK. Critical revision of the manuscript was contributed by TI and HB. All Authors approved the final manuscript.

  • Conflicts of Interest

    The Authors have no conflicts of interest to disclose in relation to this study.

  • Received April 23, 2021.
  • Revision received May 9, 2021.
  • Accepted May 11, 2021.
  • Copyright © 2021 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

References

  1. ↵
    1. Giordano G,
    2. Pancione M,
    3. Olivieri N,
    4. Parcesepe P,
    5. Velocci M,
    6. Di Raimo T,
    7. Coppola L,
    8. Toffoli G and
    9. D’Andrea MR
    : Nano albumin bound-paclitaxel in pancreatic cancer: Current evidences and future directions. World J Gastroenterol 23(32): 5875-5886, 2017. PMID: 28932079. DOI: 10.3748/wjg.v23.i32.5875
    OpenUrlCrossRefPubMed
  2. ↵
    1. Liu X,
    2. Xu J,
    3. Zhang B,
    4. Liu J,
    5. Liang C,
    6. Meng Q,
    7. Hua J,
    8. Yu X and
    9. Shi S
    : The reciprocal regulation between host tissue and immune cells in pancreatic ductal adenocarcinoma: new insights and therapeutic implications. Mol Cancer 18(1): 184, 2019. PMID: 31831007. DOI: 10.1186/s12943-019-1117-9
    OpenUrlCrossRefPubMed
  3. ↵
    1. Ercan G,
    2. Karlitepe A and
    3. Ozpolat B
    : Pancreatic cancer stem cells and therapeutic approaches. Anticancer Res 37(6): 2761-2775, 2017. PMID: 28551612. DOI: 10.21873/anticanres.11628
    OpenUrlAbstract/FREE Full Text
  4. ↵
    1. Mizrahi JD,
    2. Surana R,
    3. Valle JW and
    4. Shroff RT
    : Pancreatic cancer. Lancet 395(10242): 2008-2020, 2020. PMID: 32593337. DOI: 10.1016/S0140-6736(20)30974-0
    OpenUrlCrossRefPubMed
  5. ↵
    1. Conroy T,
    2. Desseigne F,
    3. Ychou M,
    4. Bouché O,
    5. Guimbaud R,
    6. Bécouarn Y,
    7. Adenis A,
    8. Raoul JL,
    9. Gourgou-Bourgade S,
    10. de la Fouchardière C,
    11. Bennouna J,
    12. Bachet JB,
    13. Khemissa-Akouz F,
    14. Péré-Vergé D,
    15. Delbaldo C,
    16. Assenat E,
    17. Chauffert B,
    18. Michel P,
    19. Montoto-Grillot C,
    20. Ducreux M, Groupe Tumeurs Digestives of Unicancer and PRODIGE Intergroup
    : FOLFIRINOX versus gemcitabine for metastatic pancreatic cancer. N Engl J Med 364(19): 1817-1825, 2011. PMID: 21561347. DOI: 10.1056/NEJMoa1011923
    OpenUrlCrossRefPubMed
  6. ↵
    1. Von Hoff DD,
    2. Ervin T,
    3. Arena FP,
    4. Chiorean EG,
    5. Infante J,
    6. Moore M,
    7. Seay T,
    8. Tjulandin SA,
    9. Ma WW,
    10. Saleh MN,
    11. Harris M,
    12. Reni M,
    13. Dowden S,
    14. Laheru D,
    15. Bahary N,
    16. Ramanathan RK,
    17. Tabernero J,
    18. Hidalgo M,
    19. Goldstein D,
    20. Van Cutsem E,
    21. Wei X,
    22. Iglesias J and
    23. Renschler MF
    : Increased survival in pancreatic cancer with nab-paclitaxel plus gemcitabine. N Engl J Med 369(18): 1691-1703, 2013. PMID: 24131140. DOI: 10.1056/NEJMoa1304369
    OpenUrlCrossRefPubMed
  7. ↵
    1. Caparello C,
    2. Meijer LL,
    3. Garajova I,
    4. Falcone A,
    5. Le Large TY,
    6. Funel N,
    7. Kazemier G,
    8. Peters GJ,
    9. Vasile E and
    10. Giovannetti E
    : FOLFIRINOX and translational studies: Towards personalized therapy in pancreatic cancer. World J Gastroenterol 22(31): 6987-7005, 2016. PMID: 27610011. DOI: 10.3748/wjg.v22.i31.6987
    OpenUrlCrossRefPubMed
  8. ↵
    1. Leon G,
    2. MacDonagh L,
    3. Finn SP,
    4. Cuffe S and
    5. Barr MP
    : Cancer stem cells in drug resistant lung cancer: Targeting cell surface markers and signaling pathways. Pharmacol Ther 158: 71-90, 2016. PMID: 26706243. DOI: 10.1016/j.pharmthera.2015.12.001
    OpenUrlCrossRefPubMed
  9. ↵
    1. Yörüker EE,
    2. Holdenrieder S and
    3. Gezer U
    : Blood-based biomarkers for diagnosis, prognosis and treatment of colorectal cancer. Clin Chim Acta 455: 26-32, 2016. PMID: 26797671. DOI: 10.1016/j.cca.2016.01.016
    OpenUrlCrossRefPubMed
  10. ↵
    1. Cancer Genome Atlas Research Network. Electronic address: andrew_aguirre{at}dfci.harvard.edu and Cancer Genome Atlas Research Network
    : Integrated genomic characterization of pancreatic ductal adenocarcinoma. Cancer Cell 32(2): 185-203.e13, 2017. PMID: 28810144. DOI: 10.1016/j.ccell.2017.07.007
    OpenUrlCrossRefPubMed
  11. ↵
    1. Pan S,
    2. Brentnall TA and
    3. Chen R
    : Proteomics analysis of bodily fluids in pancreatic cancer. Proteomics 15(15): 2705-2715, 2015. PMID: 25780901. DOI: 10.1002/pmic.201400476
    OpenUrlCrossRefPubMed
  12. ↵
    1. Zhou L,
    2. Wang K,
    3. Li Q,
    4. Nice EC,
    5. Zhang H and
    6. Huang C
    : Clinical proteomics-driven precision medicine for targeted cancer therapy: current overview and future perspectives. Expert Rev Proteomics 13(4): 367-381, 2016. PMID: 26923776. DOI: 10.1586/14789450.2016.1159959
    OpenUrlCrossRefPubMed
  13. ↵
    1. Kosanam H,
    2. Makawita S,
    3. Judd B,
    4. Newman A and
    5. Diamandis EP
    : Mining the malignant ascites proteome for pancreatic cancer biomarkers. Proteomics 11(23): 4551-4558, 2011. PMID: 21932441. DOI: 10.1002/pmic.201100264
    OpenUrlCrossRefPubMed
  14. ↵
    1. Yamada T,
    2. Ohta K,
    3. Motooka Y,
    4. Fujino K,
    5. Kudoh S,
    6. Tenjin Y,
    7. Sato Y,
    8. Matsuo A,
    9. Ikeda K,
    10. Suzuki M and
    11. Ito T
    : Significance of Tsukushi in lung cancer. Lung Cancer 131: 104-111, 2019. PMID: 31027686. DOI: 10.1016/j.lungcan.2019.03.024
    OpenUrlCrossRefPubMed
  15. ↵
    1. Uchihara T,
    2. Miyake K,
    3. Yonemura A,
    4. Komohara Y,
    5. Itoyama R,
    6. Koiwa M,
    7. Yasuda T,
    8. Arima K,
    9. Harada K,
    10. Eto K,
    11. Hayashi H,
    12. Iwatsuki M,
    13. Iwagami S,
    14. Baba Y,
    15. Yoshida N,
    16. Yashiro M,
    17. Masuda M,
    18. Ajani JA,
    19. Tan P,
    20. Baba H and
    21. Ishimoto T
    : Extracellular vesicles from cancer-associated fibroblasts containing Annexin A6 induces FAK-YAP activation by stabilizing β1 integrin, enhancing drug resistance. Cancer Res 80(16): 3222-3235, 2020. PMID: 32605995. DOI: 10.1158/0008-5472.CAN-19-3803
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Aslam B,
    2. Basit M,
    3. Nisar MA,
    4. Khurshid M and
    5. Rasool MH
    : Proteomics: Technologies and their applications. J Chromatogr Sci 55(2): 182-196, 2017. PMID: 28087761. DOI: 10.1093/chromsci/bmw167
    OpenUrlCrossRefPubMed
  17. ↵
    1. Cecconi D,
    2. Palmieri M and
    3. Donadelli M
    : Proteomics in pancreatic cancer research. Proteomics 11(4): 816-828, 2011. PMID: 21229586. DOI: 10.1002/pmic.201000401
    OpenUrlCrossRefPubMed
  18. ↵
    1. Schnelldorfer T,
    2. Gagnon AI,
    3. Birkett RT,
    4. Reynolds G,
    5. Murphy KM and
    6. Jenkins RL
    : Staging laparoscopy in pancreatic cancer: a potential role for advanced laparoscopic techniques. J Am Coll Surg 218(6): 1201-1206, 2014. PMID: 24698487. DOI: 10.1016/j.jamcollsurg.2014.02.018
    OpenUrlCrossRefPubMed
  19. ↵
    1. Yeung TL,
    2. Leung CS,
    3. Yip KP,
    4. Au Yeung CL,
    5. Wong ST and
    6. Mok SC
    : Cellular and molecular processes in ovarian cancer metastasis. A Review in the Theme: Cell and Molecular Processes in Cancer Metastasis. Am J Physiol Cell Physiol 309(7): C444-C456, 2015. PMID: 26224579. DOI: 10.1152/ajpcell.00188.2015
    OpenUrlCrossRefPubMed
  20. ↵
    1. Winkler J,
    2. Abisoye-Ogunniyan A,
    3. Metcalf KJ and
    4. Werb Z
    : Concepts of extracellular matrix remodelling in tumour progression and metastasis. Nat Commun 11(1): 5120, 2020. PMID: 33037194. DOI: 10.1038/s41467-020-18794-x
    OpenUrlCrossRefPubMed
  21. ↵
    1. Desjardins M,
    2. Xie J,
    3. Gurler H,
    4. Muralidhar GG,
    5. Sacks JD,
    6. Burdette JE and
    7. Barbolina MV
    : Versican regulates metastasis of epithelial ovarian carcinoma cells and spheroids. J Ovarian Res 7: 70, 2014. PMID: 24999371. DOI: 10.1186/1757-2215-7-70
    OpenUrlCrossRefPubMed
  22. ↵
    1. Jeon BH,
    2. Jang C,
    3. Han J,
    4. Kataru RP,
    5. Piao L,
    6. Jung K,
    7. Cha HJ,
    8. Schwendener RA,
    9. Jang KY,
    10. Kim KS,
    11. Alitalo K and
    12. Koh GY
    : Profound but dysfunctional lymphangiogenesis via vascular endothelial growth factor ligands from CD11b+ macrophages in advanced ovarian cancer. Cancer Res 68(4): 1100-1109, 2008. PMID: 18281485. DOI: 10.1158/0008-5472.CAN-07-2572
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Wight TN
    : Versican: a versatile extracellular matrix proteoglycan in cell biology. Curr Opin Cell Biol 14(5): 617-623, 2002. PMID: 12231358. DOI: 10.1016/s0955-0674(02)00375-7
    OpenUrlCrossRefPubMed
  24. ↵
    1. Köninger J,
    2. Giese T,
    3. di Mola FF,
    4. Wente MN,
    5. Esposito I,
    6. Bachem MG,
    7. Giese NA,
    8. Büchler MW and
    9. Friess H
    : Pancreatic tumor cells influence the composition of the extracellular matrix. Biochem Biophys Res Commun 322(3): 943-949, 2004. PMID: 15336555. DOI: 10.1016/j.bbrc.2004.08.008
    OpenUrlCrossRefPubMed
  25. ↵
    1. Skandalis SS,
    2. Kletsas D,
    3. Kyriakopoulou D,
    4. Stavropoulos M and
    5. Theocharis DA
    : The greatly increased amounts of accumulated versican and decorin with specific post-translational modifications may be closely associated with the malignant phenotype of pancreatic cancer. Biochim Biophys Acta 1760(8): 1217-1225, 2006. PMID: 16730906. DOI: 10.1016/j.bbagen.2006.03.021
    OpenUrlCrossRefPubMed
  26. ↵
    1. Jackson DG
    : Hyaluronan in the lymphatics: The key role of the hyaluronan receptor LYVE-1 in leucocyte trafficking. Matrix Biol 78-79: 219-235, 2019. PMID: 29425695. DOI: 10.1016/j.matbio.2018.02.001
    OpenUrlCrossRefPubMed
  27. ↵
    1. Jackson DG,
    2. Prevo R,
    3. Clasper S and
    4. Banerji S
    : LYVE-1, the lymphatic system and tumor lymphangiogenesis. Trends Immunol 22(6): 317-321, 2001. PMID: 11377291. DOI: 10.1016/s1471-4906(01)01936-6
    OpenUrlCrossRefPubMed
  28. ↵
    1. Radon TP,
    2. Massat NJ,
    3. Jones R,
    4. Alrawashdeh W,
    5. Dumartin L,
    6. Ennis D,
    7. Duffy SW,
    8. Kocher HM,
    9. Pereira SP,
    10. Guarner posthumous L,
    11. Murta-Nascimento C,
    12. Real FX,
    13. Malats N,
    14. Neoptolemos J,
    15. Costello E,
    16. Greenhalf W,
    17. Lemoine NR and
    18. Crnogorac-Jurcevic T
    : Identification of a three-biomarker panel in urine for early detection of pancreatic adenocarcinoma. Clin Cancer Res 21(15): 3512-3521, 2015. PMID: 26240291. DOI: 10.1158/1078-0432.CCR-14-2467
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Franklin O,
    2. Öhlund D,
    3. Lundin C,
    4. Öman M,
    5. Naredi P,
    6. Wang W and
    7. Sund M
    : Combining conventional and stroma-derived tumour markers in pancreatic ductal adenocarcinoma. Cancer Biomark 15(1): 1-10, 2015. PMID: 25524936. DOI: 10.3233/CBM-140430
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Muppala S,
    2. Xiao R,
    3. Krukovets I,
    4. Verbovetsky D,
    5. Yendamuri R,
    6. Habib N,
    7. Raman P,
    8. Plow E and
    9. Stenina-Adognravi O
    : Thrombospondin-4 mediates TGF-β-induced angiogenesis. Oncogene 36(36): 5189-5198, 2017. PMID: 28481870. DOI: 10.1038/onc.2017.140
    OpenUrlCrossRefPubMed
  31. ↵
    1. Ho WJ,
    2. Jaffee EM and
    3. Zheng L
    : The tumour microenvironment in pancreatic cancer - clinical challenges and opportunities. Nat Rev Clin Oncol 17(9): 527-540, 2020. PMID: 32398706. DOI: 10.1038/s41571-020-0363-5
    OpenUrlCrossRefPubMed
  32. ↵
    1. Michalski M,
    2. Świerzko AS,
    3. Sawicki S,
    4. Kałużyński A,
    5. Łukasiewicz J,
    6. Maciejewska A,
    7. Wydra D and
    8. Cedzyński M
    : Interactions of ficolin-3 with ovarian cancer cells. Immunobiology 224(2): 316-324, 2019. PMID: 30846332. DOI: 10.1016/j.imbio.2019.01.002
    OpenUrlCrossRefPubMed
  33. ↵
    1. Li Q and
    2. Lin Y
    : Evaluation of ficolin-3 as a potential prognostic serum biomarker in Chinese patients with esophageal cancer. Genet Test Mol Biomarkers 23(8): 565-572, 2019. PMID: 31373851. DOI: 10.1089/gtmb.2019.0045
    OpenUrlCrossRefPubMed
  34. ↵
    1. Jeon GH,
    2. Lee DS,
    3. Byun JM,
    4. Kim KT and
    5. Jeong DH
    : Immunoregulatory protein V-set and immunoglobulin domain-containing 4 is overexpressed in patients with endometriosis. J Obstet Gynaecol Res 47(1): 119-127, 2021. PMID: 32830403. DOI: 10.1111/jog.14439
    OpenUrlCrossRefPubMed
  35. ↵
    1. Zhu S,
    2. Tan W,
    3. Li W,
    4. Zhou R,
    5. Wu X,
    6. Chen X,
    7. Li W,
    8. Shang C and
    9. Chen Y
    : Low expression of VSIG4 is associated with poor prognosis in hepatocellular carcinoma patients with hepatitis B infection. Cancer Manag Res 10: 3697-3705, 2018. PMID: 30288101. DOI: 10.2147/CMAR.S165822
    OpenUrlCrossRefPubMed
  36. ↵
    1. Williams KT,
    2. Young SP,
    3. Negus A,
    4. Young LS,
    5. Adams DH and
    6. Afford SC
    : C4b binding protein binds to CD154 preventing CD40 mediated cholangiocyte apoptosis: a novel link between complement and epithelial cell survival. PLoS One 2(1): e159, 2007. PMID: 17225862. DOI: 10.1371/journal.pone.0000159
    OpenUrlCrossRefPubMed
  37. ↵
    1. Halbrook CJ and
    2. Lyssiotis CA
    : Employing metabolism to improve the diagnosis and treatment of pancreatic cancer. Cancer Cell 31(1): 5-19, 2017. PMID: 28073003. DOI: 10.1016/j.ccell.2016.12.006
    OpenUrlCrossRefPubMed
  38. ↵
    1. Lu C,
    2. Amin MA and
    3. Fox DA
    : CD13/Aminopeptidase N is a potential therapeutic target for inflammatory disorders. J Immunol 204(1): 3-11, 2020. PMID: 31848300. DOI: 10.4049/jimmunol.1900868
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Ikeda N,
    2. Nakajima Y,
    3. Tokuhara T,
    4. Hattori N,
    5. Sho M,
    6. Kanehiro H and
    7. Miyake M
    : Clinical significance of aminopeptidase N/CD13 expression in human pancreatic carcinoma. Clin Cancer Res 9(4): 1503-1508, 2003. PMID: 12684426.
    OpenUrlAbstract/FREE Full Text
  40. ↵
    1. Jin L,
    2. Chun J,
    3. Pan C,
    4. Alesi GN,
    5. Li D,
    6. Magliocca KR,
    7. Kang Y,
    8. Chen ZG,
    9. Shin DM,
    10. Khuri FR,
    11. Fan J and
    12. Kang S
    : Phosphorylation-mediated activation of LDHA promotes cancer cell invasion and tumour metastasis. Oncogene 36(27): 3797-3806, 2017. PMID: 28218905. DOI: 10.1038/onc.2017.6
    OpenUrlCrossRefPubMed
  41. ↵
    1. Maurya AK and
    2. Vinayak M
    : Quercetin regresses Dalton’s lymphoma growth via suppression of PI3K/AKT signaling leading to upregulation of p53 and decrease in energy metabolism. Nutr Cancer 67(2): 354-363, 2015. PMID: 25658812. DOI: 10.1080/01635581.2015.990574
    OpenUrlCrossRefPubMed
  42. ↵
    1. Xue A,
    2. Chang JW,
    3. Chung L,
    4. Samra J,
    5. Hugh T,
    6. Gill A,
    7. Butturini G,
    8. Baxter RC and
    9. Smith RC
    : Serum apolipoprotein C-II is prognostic for survival after pancreatic resection for adenocarcinoma. Br J Cancer 107(11): 1883-1891, 2012. PMID: 23169340. DOI: 10.1038/bjc.2012.458
    OpenUrlCrossRefPubMed
  43. ↵
    1. Bertuzzi M,
    2. Marelli C,
    3. Bagnati R,
    4. Colombi A,
    5. Fanelli R,
    6. Saieva C,
    7. Ceroti M,
    8. Bendinelli B,
    9. Caini S,
    10. Airoldi L and
    11. Palli D
    : Plasma clusterin as a candidate pre-diagnosis marker of colorectal cancer risk in the Florence cohort of the European Prospective Investigation into Cancer and Nutrition: a pilot study. BMC Cancer 15: 56, 2015. PMID: 25884309. DOI: 10.1186/s12885-015-1058-7
    OpenUrlCrossRefPubMed
  44. ↵
    1. Orellana R,
    2. Kato S,
    3. Erices R,
    4. Bravo ML,
    5. Gonzalez P,
    6. Oliva B,
    7. Cubillos S,
    8. Valdivia A,
    9. Ibañez C,
    10. Brañes J,
    11. Barriga MI,
    12. Bravo E,
    13. Alonso C,
    14. Bustamente E,
    15. Castellon E,
    16. Hidalgo P,
    17. Trigo C,
    18. Panes O,
    19. Pereira J,
    20. Mezzano D,
    21. Cuello MA and
    22. Owen GI
    : Platelets enhance tissue factor protein and metastasis initiating cell markers, and act as chemoattractants increasing the migration of ovarian cancer cells. BMC Cancer 15: 290, 2015. PMID: 25886038. DOI: 10.1186/s12885-015-1304-z
    OpenUrlCrossRefPubMed
  45. ↵
    1. Viski C,
    2. König C,
    3. Kijewska M,
    4. Mogler C,
    5. Isacke CM and
    6. Augustin HG
    : Endosialin-expressing pericytes promote metastatic dissemination. Cancer Res 76(18): 5313-5325, 2016. PMID: 27635044. DOI: 10.1158/0008-5472.CAN-16-0932
    OpenUrlAbstract/FREE Full Text
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June 2021
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Proteomic Analysis of Malignant Ascites From Patients With Pancreatic Ductal Adenocarcinoma
FUMIMASA KITAMURA, TATSUNORI MIYATA, NORIO UEMURA, TOMOYUKI UCHIHARA, KATSUNORI IMAI, HIROMITSU HAYASHI, YO-ICHI YAMASHITA, KEISUKE MATSUSAKI, TAKATSUGU ISHIMOTO, HIDEO BABA
Anticancer Research Jun 2021, 41 (6) 2895-2900; DOI: 10.21873/anticanres.15071

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Proteomic Analysis of Malignant Ascites From Patients With Pancreatic Ductal Adenocarcinoma
FUMIMASA KITAMURA, TATSUNORI MIYATA, NORIO UEMURA, TOMOYUKI UCHIHARA, KATSUNORI IMAI, HIROMITSU HAYASHI, YO-ICHI YAMASHITA, KEISUKE MATSUSAKI, TAKATSUGU ISHIMOTO, HIDEO BABA
Anticancer Research Jun 2021, 41 (6) 2895-2900; DOI: 10.21873/anticanres.15071
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Keywords

  • Biomarker
  • malignant ascites
  • Pancreatic ductal adenocarcinoma
  • proteomics
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