PSMD11, PTPRM and PTPRB as novel biomarkers of pancreatic cancer progression
Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered...
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| Published in | Biochimica et biophysica acta. General subjects Vol. 1864; no. 11; p. 129682 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier B.V
01.11.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0304-4165 1872-8006 1872-8006 |
| DOI | 10.1016/j.bbagen.2020.129682 |
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| Abstract | Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered palliative chemotherapy instead. In this pilot study, we aimed to identify differentially regulated proteins in plasma and plasma derived microparticles from PDAC patients with poor and good prognosis.
Plasma and plasma derived microparticle samples were obtained before surgical resection from PDAC patients. Sequential Windowed Acquisition of all Theoretical fragment ion spectra – Mass Spectrometry (SWATH-MS) proteomic analysis was performed to identify and quantify proteins in these samples. Statistical analysis was performed to identify biomarkers for poor prognosis.
A total of 482 and 1024 proteins were identified from plasma and microparticle samples, respectively, by SWATH-MS analysis. Statistical analysis of the data further identified nine and six differentially (log2ratio > 1, p < .05) expressed proteins in plasma and microparticles, respectively. Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis.
A novel blood-based biomarker signature for PDAC prognosis was identified.
•SWATH-MS analysis of plasma and microparticles from PDAC patients was performed.•Microparticles provided deeper proteomic analysis compared to plasma.•Novel plasma and microparticle based prognostic biomarkers were identified.•PTPRM and PTPRB were decreased in plasma of PDAC patients with poor prognosis.•PSMD11 was increased in microparticles from PDAC patients with poor prognosis. |
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| AbstractList | Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered palliative chemotherapy instead. In this pilot study, we aimed to identify differentially regulated proteins in plasma and plasma derived microparticles from PDAC patients with poor and good prognosis.Plasma and plasma derived microparticle samples were obtained before surgical resection from PDAC patients. Sequential Windowed Acquisition of all Theoretical fragment ion spectra – Mass Spectrometry (SWATH-MS) proteomic analysis was performed to identify and quantify proteins in these samples. Statistical analysis was performed to identify biomarkers for poor prognosis.A total of 482 and 1024 proteins were identified from plasma and microparticle samples, respectively, by SWATH-MS analysis. Statistical analysis of the data further identified nine and six differentially (log₂ratio > 1, p < .05) expressed proteins in plasma and microparticles, respectively. Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis.A novel blood-based biomarker signature for PDAC prognosis was identified. Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered palliative chemotherapy instead. In this pilot study, we aimed to identify differentially regulated proteins in plasma and plasma derived microparticles from PDAC patients with poor and good prognosis.BACKGROUNDPancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered palliative chemotherapy instead. In this pilot study, we aimed to identify differentially regulated proteins in plasma and plasma derived microparticles from PDAC patients with poor and good prognosis.Plasma and plasma derived microparticle samples were obtained before surgical resection from PDAC patients. Sequential Windowed Acquisition of all Theoretical fragment ion spectra - Mass Spectrometry (SWATH-MS) proteomic analysis was performed to identify and quantify proteins in these samples. Statistical analysis was performed to identify biomarkers for poor prognosis.METHODSPlasma and plasma derived microparticle samples were obtained before surgical resection from PDAC patients. Sequential Windowed Acquisition of all Theoretical fragment ion spectra - Mass Spectrometry (SWATH-MS) proteomic analysis was performed to identify and quantify proteins in these samples. Statistical analysis was performed to identify biomarkers for poor prognosis.A total of 482 and 1024 proteins were identified from plasma and microparticle samples, respectively, by SWATH-MS analysis. Statistical analysis of the data further identified nine and six differentially (log2ratio > 1, p < .05) expressed proteins in plasma and microparticles, respectively. Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis.RESULTSA total of 482 and 1024 proteins were identified from plasma and microparticle samples, respectively, by SWATH-MS analysis. Statistical analysis of the data further identified nine and six differentially (log2ratio > 1, p < .05) expressed proteins in plasma and microparticles, respectively. Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis.A novel blood-based biomarker signature for PDAC prognosis was identified.CONCLUSION AND GENERAL SIGNIFICANCEA novel blood-based biomarker signature for PDAC prognosis was identified. Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered palliative chemotherapy instead. In this pilot study, we aimed to identify differentially regulated proteins in plasma and plasma derived microparticles from PDAC patients with poor and good prognosis. Plasma and plasma derived microparticle samples were obtained before surgical resection from PDAC patients. Sequential Windowed Acquisition of all Theoretical fragment ion spectra - Mass Spectrometry (SWATH-MS) proteomic analysis was performed to identify and quantify proteins in these samples. Statistical analysis was performed to identify biomarkers for poor prognosis. A total of 482 and 1024 proteins were identified from plasma and microparticle samples, respectively, by SWATH-MS analysis. Statistical analysis of the data further identified nine and six differentially (log ratio > 1, p < .05) expressed proteins in plasma and microparticles, respectively. Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis. A novel blood-based biomarker signature for PDAC prognosis was identified. Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of patients experience disease relapse. Thus, patients who do not benefit from highly morbid surgical resection needs to be identified and offered palliative chemotherapy instead. In this pilot study, we aimed to identify differentially regulated proteins in plasma and plasma derived microparticles from PDAC patients with poor and good prognosis. Plasma and plasma derived microparticle samples were obtained before surgical resection from PDAC patients. Sequential Windowed Acquisition of all Theoretical fragment ion spectra – Mass Spectrometry (SWATH-MS) proteomic analysis was performed to identify and quantify proteins in these samples. Statistical analysis was performed to identify biomarkers for poor prognosis. A total of 482 and 1024 proteins were identified from plasma and microparticle samples, respectively, by SWATH-MS analysis. Statistical analysis of the data further identified nine and six differentially (log2ratio > 1, p < .05) expressed proteins in plasma and microparticles, respectively. Protein tyrosine phosphatases, PTPRM and PTPRB, were decreased in plasma of patients with poor PDAC prognosis, while proteasomal subunit PSMD11 was increased in microparticles of patients with poor prognosis. A novel blood-based biomarker signature for PDAC prognosis was identified. •SWATH-MS analysis of plasma and microparticles from PDAC patients was performed.•Microparticles provided deeper proteomic analysis compared to plasma.•Novel plasma and microparticle based prognostic biomarkers were identified.•PTPRM and PTPRB were decreased in plasma of PDAC patients with poor prognosis.•PSMD11 was increased in microparticles from PDAC patients with poor prognosis. |
| ArticleNumber | 129682 |
| Author | Mittal, Anubhav Sahni, Sumit Maloney, Sarah Gillson, Josef Gill, Anthony J. Molloy, Mark P. Samra, Jaswinder Krisp, Christoph Nahm, Christopher |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32663515$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3390_proteomes11030024 crossref_primary_10_1007_s10528_021_10062_x crossref_primary_10_3390_cancers14092325 crossref_primary_10_17116_onkolog20231204124 crossref_primary_10_3390_cancers16193335 crossref_primary_10_1097_JP9_0000000000000152 crossref_primary_10_3389_fphar_2024_1339465 crossref_primary_10_3390_cancers13112512 crossref_primary_10_1016_j_bbrc_2021_10_074 crossref_primary_10_18632_aging_203722 crossref_primary_10_1186_s13048_023_01220_3 crossref_primary_10_3390_genes13081496 crossref_primary_10_1186_s12935_021_01861_8 crossref_primary_10_3389_fonc_2021_665534 crossref_primary_10_3390_ijms22052655 crossref_primary_10_3389_fonc_2021_624837 crossref_primary_10_1080_21655979_2021_1968250 crossref_primary_10_3389_fonc_2025_1555649 |
| Cites_doi | 10.1038/s41419-019-2065-4 10.1371/journal.pone.0050183 10.1074/mcp.O111.016717 10.15252/msb.20178126 10.1016/j.molcel.2016.12.004 10.1186/s12885-017-3102-2 10.1002/cam4.1107 10.1371/journal.pone.0047365 10.1097/01.MPA.0000335390.53014.d1 10.1038/ajg.2010.32 10.1111/1440-1681.12610 10.1186/s12885-018-5161-4 10.1002/pmic.201700174 10.2217/bmm.12.69 10.1186/s12014-019-9255-z 10.1016/j.canlet.2015.12.031 10.1021/pr050174l 10.1038/bjc.2016.295 10.18632/oncotarget.2144 10.1371/journal.pone.0069034 10.1038/nrc1837 10.1158/0008-5472.CAN-05-3659 10.1016/S0140-6736(16)00141-0 10.1097/MPA.0b013e31802f2483 10.1074/mcp.R200007-MCP200 10.1016/j.ebiom.2019.04.008 10.1021/pr101052y 10.1080/13651820510028936 10.1242/jcs.115.11.2443 10.18632/oncotarget.3801 10.1016/j.ymeth.2011.03.004 10.1016/j.jbior.2015.06.003 10.1038/s41523-019-0118-6 10.3748/wjg.v22.i44.9694 10.1101/cshperspect.a013193 10.1586/14789450.2014.901157 10.1158/0008-5472.CAN-14-0155 10.1155/2011/628787 10.1016/j.jprot.2009.07.009 10.4161/auto.7.8.15762 10.1107/S2059798317011822 10.1186/1471-230X-10-68 10.1074/mcp.M115.055558 10.1074/mcp.M114.043364 10.3389/fonc.2020.00237 10.2183/pjab.85.12 10.1038/srep09633 |
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| Keywords | Prognostic biomarkers Plasma Pancreatic ductal adenocarcinoma Microparticles Proteomics |
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| References | Li, Zhao, Su, Glover, Chakravarthy, Colbert, Levine, Sinha (bb0235) 2017; 73 Bloomston, Zhou, Rosemurgy, Frankel, Muro-Cacho, Yeatman (bb0040) 2006; 66 Sogawa, Takano, Iida, Satoh, Tsuchida, Kawashima, Yoshitomi, Sanda, Kodera, Takizawa, Mikata, Ohtsuka, Shimizu, Miyazaki, Yokosuka, Nomura (bb0085) 2016; 115 Jaiswal, Johnson, Pokharel, Krishnan, Bebawy (bb0150) 2017; 17 Sun, Zhu, Wang, Chen, Peng, Fan, Xu, Miao (bb0055) 1774; 2007 Maria, Janne (bb0130) 2014; 11 Mammadova-Bach, Gil-Pulido, Sarukhanyan, Burkard, Shityakov, Schonhart, Stegner, Remer, Nurden, Nurden, Dandekar, Nehez, Dank, Braun, Mezzano, Abrams, Nieswandt (bb0245) 2020; 135 Ilic, Ilic (bb0005) 2016; 22 Watanabe, Hanaki, Arai, Tokuyasu, Sakamoto, Honjo, Otani, Ikeguchi (bb0020) 2015; 62 Wang, Kuramitsu, Yoshino, Takashima, Zhang, Ueno, Suzuki, Oka, Nakamura (bb0060) 2011; 26 Ludwig, Gillet, Rosenberger, Amon, Collins, Aebersold (bb0105) 2018; 14 Tanaka (bb0195) 2009; 85 Kang, Qin, Buya, Dong, Zheng, Lu, Chen, Guo, Wu (bb0225) 2016; 373 Deng, Lu, Chen, Zhou, Lu (bb0045) 2007; 34 Wu, Song, Pascovici, Zaw, Care, Krisp, Molloy (bb0120) 2016; 15 Mazumdar, Tahaney, Reddy Bollu, Poage, Hill, Zhang, Mills, Brown (bb0260) 2019; 5 Keerthikumar, Gangoda, Liem, Fonseka, Atukorala, Ozcitti, Mechler, Adda, Ang, Mathivanan (bb0095) 2015; 6 Gillet, Navarro, Tate, Rost, Selevsek, Reiter, Bonner, Aebersold (bb0100) 2012; 11 Fitzgerald, Lertpiriyapong, Cocco, Martelli, Libra, Candido, Montalto, Cervello, Steelman, Abrams, McCubrey (bb0185) 2015; 59 Toth, Nieuwland, Liebhardt, Ditsch, Steinig, Stieber, Rank, Göhring, Thaler, Friese, Bauerfeind (bb0145) 2008; 28 Zhou, Andersson, Hu, Bauden, Kristl, Sasor, Pawłowski, Pla, Hilmersson, Zhou, Lu, Marko-Varga, Ansari (bb0250) 2019; 43 Yang, Kimmelman (bb0240) 2011; 7 Geng, Fan, Ouyang, Zhang, Zhang, Yu, Xu, Li, Yao, Liu, Zheng (bb0255) 2014; 5 Rong, Jin, Hou, Hu, Wu, Ni, Wang, Lou (bb0050) 2010; 10 Thibault, Ng (bb0205) 2012; 4 Harel, Oren-Giladi, Kaidar-Person, Shaked, Geiger (bb0090) 2015; 14 Sudhir, Lin, Chia-Wen, Yang, Li, Lai, Wang, Chen, Chen, Jou, Chen (bb0170) 2015; 5 Sahni, Nahm, Krisp, Molloy, Mehta, Maloney, Itchins, Pavlakis, Clarke, Chan, Gill, Howell, Samra, Mittal (bb0110) 2020; 10 Saraswat, Joenväärä, Seppänen, Mustonen, Haglund, Renkonen (bb0080) 2017; 6 Huang, Dong, Kang, Xu, Chen, Zhang, Chen, Xie, Wu (bb0230) 2010; 105 Qi, Dai, Gui (bb0190) 2016; 43 Gülow, Bienert, Haas (bb0200) 2002; 115 Tonack, Aspinall-O’Dea, Jenkins, Elliot, Murray, Lane, Kitteringham, Neoptolemos, Costello (bb0070) 2009; 73 Sinclair, Timms (bb0075) 2011; 54 Anderson, Anderson (bb0160) 2002; 1 Nedjadi, Evans, Sheikh, Barerra, Al-Ghamdi, Oldfield, Greenhalf, Neoptolemos, Costello (bb0215) 2018; 18 Rahib, Smith, Aizenberg, Rosenzweig, Fleshman, Matrisian (bb0010) 2014; 74 Yao, Darowski, St-Denis, Wong, Offensperger, Villedieu, Amin, Malty, Aoki, Guo, Xu, Iorio, Kotlyar, Emili, Jurisica, Neel, Babu, Gingras, Stagljar (bb0180) 2017; 65 Kamisawa, Wood, Itoi, Takaori (bb0015) 2016; 388 Yu, Rustgi, Blair (bb0065) 2005; 4 Sheikh, Ang, Tonack, Tweedle, Schwarte-Waldhoff, Neoptolemos, Costello (bb0210) 2008; 37 Ahn, Sharma, Mohamedali, Mahboob, Redmond, Pascovici, Wu, Zaw, Adhikari, Vaibhav, Nice, Baker (bb0115) 2019; 16 Zhang, Liu, Peng, Wang, Gao, Liao, Zhao (bb0220) 2019; 10 Abulaizi, Tomonaga, Satoh, Sogawa, Matsushita, Kodera, Obul, Takano, Yoshitomi, Miyazaki, Nomura (bb0035) 2011; 2011 Reynés, Vila, Fleitas, Reganon, Font de Mora, Jordá, Martínez-Sales (bb0140) 2013; 8 Ho, Kleeff, Friess, Büchler (bb0025) 2005; 7 Ostman, Hellberg, Bohmer (bb0165) 2006; 6 Fleitas, Martínez-Sales, Vila, Reganon, Mesado, Martín, Gómez-Codina, Montalar, Reynés (bb0135) 2012; 7 Sun, Ye, Mason, Jiang (bb0175) 2012; 7 Kaur, Baine, Jain, Sasson, Batra (bb0030) 2012; 6 Wu, Pascovici, Ignjatovic, Song, Krisp, Molloy (bb0125) 2017; 17 Zhang, Faca, Hanash (bb0155) 2011; 10 Rahib (10.1016/j.bbagen.2020.129682_bb0010) 2014; 74 Kaur (10.1016/j.bbagen.2020.129682_bb0030) 2012; 6 Maria (10.1016/j.bbagen.2020.129682_bb0130) 2014; 11 Gülow (10.1016/j.bbagen.2020.129682_bb0200) 2002; 115 Tanaka (10.1016/j.bbagen.2020.129682_bb0195) 2009; 85 Gillet (10.1016/j.bbagen.2020.129682_bb0100) 2012; 11 Ahn (10.1016/j.bbagen.2020.129682_bb0115) 2019; 16 Bloomston (10.1016/j.bbagen.2020.129682_bb0040) 2006; 66 Ho (10.1016/j.bbagen.2020.129682_bb0025) 2005; 7 Deng (10.1016/j.bbagen.2020.129682_bb0045) 2007; 34 Huang (10.1016/j.bbagen.2020.129682_bb0230) 2010; 105 Watanabe (10.1016/j.bbagen.2020.129682_bb0020) 2015; 62 Kang (10.1016/j.bbagen.2020.129682_bb0225) 2016; 373 Nedjadi (10.1016/j.bbagen.2020.129682_bb0215) 2018; 18 Geng (10.1016/j.bbagen.2020.129682_bb0255) 2014; 5 Wu (10.1016/j.bbagen.2020.129682_bb0125) 2017; 17 Keerthikumar (10.1016/j.bbagen.2020.129682_bb0095) 2015; 6 Harel (10.1016/j.bbagen.2020.129682_bb0090) 2015; 14 Mammadova-Bach (10.1016/j.bbagen.2020.129682_bb0245) 2020; 135 Tonack (10.1016/j.bbagen.2020.129682_bb0070) 2009; 73 Li (10.1016/j.bbagen.2020.129682_bb0235) 2017; 73 Yu (10.1016/j.bbagen.2020.129682_bb0065) 2005; 4 Zhang (10.1016/j.bbagen.2020.129682_bb0155) 2011; 10 Wang (10.1016/j.bbagen.2020.129682_bb0060) 2011; 26 Yao (10.1016/j.bbagen.2020.129682_bb0180) 2017; 65 Sinclair (10.1016/j.bbagen.2020.129682_bb0075) 2011; 54 Kamisawa (10.1016/j.bbagen.2020.129682_bb0015) 2016; 388 Saraswat (10.1016/j.bbagen.2020.129682_bb0080) 2017; 6 Abulaizi (10.1016/j.bbagen.2020.129682_bb0035) 2011; 2011 Sun (10.1016/j.bbagen.2020.129682_bb0175) 2012; 7 Ilic (10.1016/j.bbagen.2020.129682_bb0005) 2016; 22 Sahni (10.1016/j.bbagen.2020.129682_bb0110) 2020; 10 Sudhir (10.1016/j.bbagen.2020.129682_bb0170) 2015; 5 Jaiswal (10.1016/j.bbagen.2020.129682_bb0150) 2017; 17 Sun (10.1016/j.bbagen.2020.129682_bb0055) 1774; 2007 Qi (10.1016/j.bbagen.2020.129682_bb0190) 2016; 43 Ludwig (10.1016/j.bbagen.2020.129682_bb0105) 2018; 14 Anderson (10.1016/j.bbagen.2020.129682_bb0160) 2002; 1 Fitzgerald (10.1016/j.bbagen.2020.129682_bb0185) 2015; 59 Zhang (10.1016/j.bbagen.2020.129682_bb0220) 2019; 10 Reynés (10.1016/j.bbagen.2020.129682_bb0140) 2013; 8 Toth (10.1016/j.bbagen.2020.129682_bb0145) 2008; 28 Thibault (10.1016/j.bbagen.2020.129682_bb0205) 2012; 4 Rong (10.1016/j.bbagen.2020.129682_bb0050) 2010; 10 Ostman (10.1016/j.bbagen.2020.129682_bb0165) 2006; 6 Wu (10.1016/j.bbagen.2020.129682_bb0120) 2016; 15 Zhou (10.1016/j.bbagen.2020.129682_bb0250) 2019; 43 Sheikh (10.1016/j.bbagen.2020.129682_bb0210) 2008; 37 Sogawa (10.1016/j.bbagen.2020.129682_bb0085) 2016; 115 Fleitas (10.1016/j.bbagen.2020.129682_bb0135) 2012; 7 Mazumdar (10.1016/j.bbagen.2020.129682_bb0260) 2019; 5 Yang (10.1016/j.bbagen.2020.129682_bb0240) 2011; 7 |
| References_xml | – volume: 10 start-page: 836 year: 2019 ident: bb0220 article-title: Pancreatic cancer-educated macrophages protect cancer cells from complement-dependent cytotoxicity by up-regulation of CD59 publication-title: Cell Death Dis. – volume: 43 start-page: 1004 year: 2016 end-page: 1012 ident: bb0190 article-title: Protein tyrosine phosphatase PTPRB regulates Src phosphorylation and tumour progression in NSCLC publication-title: Clin. Exp. Pharmacol. Physiol. – volume: 105 start-page: 1661 year: 2010 end-page: 1669 ident: bb0230 article-title: Novel blood biomarkers of pancreatic cancer–associated diabetes mellitus identified by peripheral blood–based gene expression profiles publication-title: Am. J. Gastroenterol. – volume: 7 year: 2012 ident: bb0135 article-title: Circulating endothelial cells and microparticles as prognostic markers in advanced non-small cell lung cancer publication-title: PLoS One – volume: 6 start-page: 1738 year: 2017 end-page: 1751 ident: bb0080 article-title: Comparative proteomic profiling of the serum differentiates pancreatic cancer from chronic pancreatitis publication-title: Cancer Med. – volume: 14 year: 2018 ident: bb0105 article-title: Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial publication-title: Mol. Syst. Biol. – volume: 43 start-page: 282 year: 2019 end-page: 294 ident: bb0250 article-title: Quantitative proteomics identifies brain acid soluble protein 1 (BASP1) as a prognostic biomarker candidate in pancreatic cancer tissue publication-title: EBioMedicine – volume: 6 start-page: 15375 year: 2015 end-page: 15396 ident: bb0095 article-title: Proteogenomic analysis reveals exosomes are more oncogenic than ectosomes publication-title: Oncotarget – volume: 66 start-page: 2592 year: 2006 end-page: 2599 ident: bb0040 article-title: Fibrinogen gamma overexpression in pancreatic cancer identified by large-scale proteomic analysis of serum samples publication-title: Cancer Res. – volume: 73 start-page: 775 year: 2017 end-page: 792 ident: bb0235 article-title: Structural insights into the interaction of the conserved mammalian proteins GAPR-1 and Beclin 1, a key autophagy protein publication-title: Acta Crystallogr. D Struct. Biol. – volume: 17 start-page: 104 year: 2017 ident: bb0150 article-title: Microparticles shed from multidrug resistant breast cancer cells provide a parallel survival pathway through immune evasion publication-title: BMC Cancer – volume: 37 start-page: 496 year: 2008 ident: bb0210 article-title: S100A8 and S100A9 increase pancreatic and colorectal cancer cell motility and proliferation publication-title: Pancreas – volume: 22 start-page: 9694 year: 2016 end-page: 9705 ident: bb0005 article-title: Epidemiology of pancreatic cancer publication-title: World J. Gastroenterol. – volume: 10 start-page: 237 year: 2020 ident: bb0110 article-title: Identification of novel biomarkers in pancreatic tumor tissue to predict response to neoadjuvant chemotherapy publication-title: Front. Oncol. – volume: 11 start-page: 431 year: 2014 end-page: 448 ident: bb0130 article-title: Mass spectrometry-based plasma proteomics: state of the art and future outlook publication-title: Expert Rev. Proteom. – volume: 14 start-page: 1127 year: 2015 end-page: 1136 ident: bb0090 article-title: PROMIS-Quan: a novel proteomic method for plasma biomarker quantification publication-title: Mol. Cell. Proteom. – volume: 7 start-page: 912 year: 2011 end-page: 913 ident: bb0240 article-title: A critical role for autophagy in pancreatic cancer publication-title: Autophagy – volume: 1 start-page: 845 year: 2002 end-page: 867 ident: bb0160 article-title: The human plasma proteome: history, character, and diagnostic prospects publication-title: Mol. Cell. Proteomics – volume: 16 start-page: 34 year: 2019 ident: bb0115 article-title: Potential early clinical stage colorectal cancer diagnosis using a proteomics blood test panel publication-title: Clin. Proteomics – volume: 18 start-page: 1255 year: 2018 ident: bb0215 article-title: S100A8 and S100A9 proteins form part of a paracrine feedback loop between pancreatic cancer cells and monocytes publication-title: BMC Cancer – volume: 6 start-page: 597 year: 2012 end-page: 612 ident: bb0030 article-title: Early diagnosis of pancreatic cancer: challenges and new developments publication-title: Biomark. Med – volume: 2007 start-page: 764 year: 1774 end-page: 771 ident: bb0055 article-title: Serum proteomic-based analysis of pancreatic carcinoma for the identification of potential cancer biomarkers publication-title: Biochim. Biophys. Acta – volume: 74 start-page: 2913 year: 2014 end-page: 2921 ident: bb0010 article-title: Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States publication-title: Cancer Res. – volume: 59 start-page: 65 year: 2015 end-page: 81 ident: bb0185 article-title: Roles of EGFR and KRAS and their downstream signaling pathways in pancreatic cancer and pancreatic cancer stem cells publication-title: Adv. Biol. Regul. – volume: 388 start-page: 73 year: 2016 end-page: 85 ident: bb0015 article-title: Pancreatic cancer publication-title: Lancet – volume: 54 start-page: 361 year: 2011 end-page: 369 ident: bb0075 article-title: Quantitative profiling of serum samples using TMT protein labelling, fractionation and LC-MS/MS publication-title: Methods – volume: 5 start-page: 9633 year: 2015 ident: bb0170 article-title: Loss of PTPRM associates with the pathogenic development of colorectal adenoma-carcinoma sequence publication-title: Sci. Rep. – volume: 26 start-page: 287 year: 2011 end-page: 292 ident: bb0060 article-title: Screening for serological biomarkers of pancreatic cancer by two-dimensional electrophoresis and liquid chromatography-tandem mass spectrometry publication-title: Oncol. Rep. – volume: 15 start-page: 2501 year: 2016 end-page: 2514 ident: bb0120 article-title: SWATH mass spectrometry performance using extended peptide MS/MS assay libraries publication-title: Mol. Cell. Proteom. – volume: 28 start-page: 1107 year: 2008 end-page: 1112 ident: bb0145 article-title: Circulating microparticles in breast cancer patients: a comparative analysis with established biomarkers publication-title: Anticancer Res. – volume: 85 start-page: 12 year: 2009 end-page: 36 ident: bb0195 article-title: The proteasome: overview of structure and functions publication-title: Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. – volume: 8 year: 2013 ident: bb0140 article-title: Circulating endothelial cells and procoagulant microparticles in patients with glioblastoma: prognostic value publication-title: PLoS One – volume: 6 start-page: 307 year: 2006 end-page: 320 ident: bb0165 article-title: Protein-tyrosine phosphatases and cancer publication-title: Nat. Rev. Cancer – volume: 4 year: 2012 ident: bb0205 article-title: The endoplasmic reticulum-associated degradation pathways of budding yeast publication-title: Cold Spring Harb. Perspect. Biol. – volume: 135 start-page: 1146 year: 2020 end-page: 1160 ident: bb0245 article-title: Platelet glycoprotein VI promotes metastasis through interaction with cancer cell-derived galectin-3 publication-title: Blood – volume: 115 start-page: 949 year: 2016 end-page: 956 ident: bb0085 article-title: Identification of a novel serum biomarker for pancreatic cancer, C4b-binding protein α-chain (C4BPA) by quantitative proteomic analysis using tandem mass tags publication-title: Br. J. Cancer – volume: 7 year: 2012 ident: bb0175 article-title: Protein tyrosine phosphatase μ (PTP μ or PTPRM), a negative regulator of proliferation and invasion of breast cancer cells, is associated with disease prognosis publication-title: PLoS One – volume: 4 start-page: 1742 year: 2005 end-page: 1751 ident: bb0065 article-title: Characterization of proteins in human pancreatic cancer serum using differential gel electrophoresis and tandem mass spectrometry publication-title: J. Proteome Res. – volume: 34 start-page: 310 year: 2007 end-page: 317 ident: bb0045 article-title: Plasma proteomic analysis of pancreatic cancer by 2-dimensional gel electrophoresis publication-title: Pancreas – volume: 11 year: 2012 ident: bb0100 article-title: Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis publication-title: Mol. Cell. Proteomics – volume: 10 start-page: 46 year: 2011 end-page: 50 ident: bb0155 article-title: Mining the plasma proteome for disease applications across seven logs of protein abundance publication-title: J. Proteome Res. – volume: 65 start-page: 347 year: 2017 end-page: 360 ident: bb0180 article-title: A global analysis of the receptor tyrosine kinase-protein phosphatase Interactome publication-title: Mol. Cell – volume: 5 year: 2014 ident: bb0255 article-title: Loss of PPM1A expression enhances invasion and the epithelial-to-mesenchymal transition in bladder cancer by activating the TGF-β/Smad signaling pathway publication-title: Oncotarget – volume: 7 start-page: 99 year: 2005 end-page: 108 ident: bb0025 article-title: Complications of pancreatic surgery publication-title: HPB (Oxford) – volume: 73 start-page: 352 year: 2009 end-page: 356 ident: bb0070 article-title: A technically detailed and pragmatic protocol for quantitative serum proteomics using iTRAQ publication-title: J. Proteome – volume: 5 start-page: 22 year: 2019 ident: bb0260 article-title: The phosphatase PPM1A inhibits triple negative breast cancer growth by blocking cell cycle progression publication-title: NPJ Breast Cancer – volume: 2011 start-page: 628787 year: 2011 ident: bb0035 article-title: The application of a three-step proteome analysis for identification of new biomarkers of pancreatic cancer publication-title: Int. J. Proteomics – volume: 62 start-page: 590 year: 2015 end-page: 594 ident: bb0020 article-title: Perioperative outcomes after Pancreaticoduodenectomy in elderly patients publication-title: Hepatogastroenterology – volume: 17 start-page: 1700174 year: 2017 ident: bb0125 article-title: Improving protein detection confidence using swath-mass spectrometry with large peptide reference libraries publication-title: Proteomics – volume: 373 start-page: 241 year: 2016 end-page: 250 ident: bb0225 article-title: VNN1, a potential biomarker for pancreatic cancer-associated new-onset diabetes, aggravates paraneoplastic islet dysfunction by increasing oxidative stress publication-title: Cancer Lett. – volume: 115 start-page: 2443 year: 2002 end-page: 2452 ident: bb0200 article-title: BiP is feed-back regulated by control of protein translation efficiency publication-title: J. Cell Sci. – volume: 10 start-page: 68 year: 2010 ident: bb0050 article-title: Proteomics analysis of serum protein profiling in pancreatic cancer patients by DIGE: up-regulation of mannose-binding lectin 2 and myosin light chain kinase 2 publication-title: BMC Gastroenterol. – volume: 10 start-page: 836 year: 2019 ident: 10.1016/j.bbagen.2020.129682_bb0220 article-title: Pancreatic cancer-educated macrophages protect cancer cells from complement-dependent cytotoxicity by up-regulation of CD59 publication-title: Cell Death Dis. doi: 10.1038/s41419-019-2065-4 – volume: 7 year: 2012 ident: 10.1016/j.bbagen.2020.129682_bb0175 article-title: Protein tyrosine phosphatase μ (PTP μ or PTPRM), a negative regulator of proliferation and invasion of breast cancer cells, is associated with disease prognosis publication-title: PLoS One doi: 10.1371/journal.pone.0050183 – volume: 11 year: 2012 ident: 10.1016/j.bbagen.2020.129682_bb0100 article-title: Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis publication-title: Mol. Cell. Proteomics doi: 10.1074/mcp.O111.016717 – volume: 14 year: 2018 ident: 10.1016/j.bbagen.2020.129682_bb0105 article-title: Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial publication-title: Mol. Syst. Biol. doi: 10.15252/msb.20178126 – volume: 65 start-page: 347 year: 2017 ident: 10.1016/j.bbagen.2020.129682_bb0180 article-title: A global analysis of the receptor tyrosine kinase-protein phosphatase Interactome publication-title: Mol. Cell doi: 10.1016/j.molcel.2016.12.004 – volume: 17 start-page: 104 year: 2017 ident: 10.1016/j.bbagen.2020.129682_bb0150 article-title: Microparticles shed from multidrug resistant breast cancer cells provide a parallel survival pathway through immune evasion publication-title: BMC Cancer doi: 10.1186/s12885-017-3102-2 – volume: 6 start-page: 1738 year: 2017 ident: 10.1016/j.bbagen.2020.129682_bb0080 article-title: Comparative proteomic profiling of the serum differentiates pancreatic cancer from chronic pancreatitis publication-title: Cancer Med. doi: 10.1002/cam4.1107 – volume: 7 year: 2012 ident: 10.1016/j.bbagen.2020.129682_bb0135 article-title: Circulating endothelial cells and microparticles as prognostic markers in advanced non-small cell lung cancer publication-title: PLoS One doi: 10.1371/journal.pone.0047365 – volume: 37 start-page: 496 year: 2008 ident: 10.1016/j.bbagen.2020.129682_bb0210 article-title: S100A8 and S100A9 increase pancreatic and colorectal cancer cell motility and proliferation publication-title: Pancreas doi: 10.1097/01.MPA.0000335390.53014.d1 – volume: 105 start-page: 1661 year: 2010 ident: 10.1016/j.bbagen.2020.129682_bb0230 article-title: Novel blood biomarkers of pancreatic cancer–associated diabetes mellitus identified by peripheral blood–based gene expression profiles publication-title: Am. J. Gastroenterol. doi: 10.1038/ajg.2010.32 – volume: 43 start-page: 1004 year: 2016 ident: 10.1016/j.bbagen.2020.129682_bb0190 article-title: Protein tyrosine phosphatase PTPRB regulates Src phosphorylation and tumour progression in NSCLC publication-title: Clin. Exp. Pharmacol. Physiol. doi: 10.1111/1440-1681.12610 – volume: 18 start-page: 1255 year: 2018 ident: 10.1016/j.bbagen.2020.129682_bb0215 article-title: S100A8 and S100A9 proteins form part of a paracrine feedback loop between pancreatic cancer cells and monocytes publication-title: BMC Cancer doi: 10.1186/s12885-018-5161-4 – volume: 17 start-page: 1700174 year: 2017 ident: 10.1016/j.bbagen.2020.129682_bb0125 article-title: Improving protein detection confidence using swath-mass spectrometry with large peptide reference libraries publication-title: Proteomics doi: 10.1002/pmic.201700174 – volume: 135 start-page: 1146 year: 2020 ident: 10.1016/j.bbagen.2020.129682_bb0245 article-title: Platelet glycoprotein VI promotes metastasis through interaction with cancer cell-derived galectin-3 publication-title: Blood – volume: 6 start-page: 597 year: 2012 ident: 10.1016/j.bbagen.2020.129682_bb0030 article-title: Early diagnosis of pancreatic cancer: challenges and new developments publication-title: Biomark. Med doi: 10.2217/bmm.12.69 – volume: 16 start-page: 34 year: 2019 ident: 10.1016/j.bbagen.2020.129682_bb0115 article-title: Potential early clinical stage colorectal cancer diagnosis using a proteomics blood test panel publication-title: Clin. Proteomics doi: 10.1186/s12014-019-9255-z – volume: 373 start-page: 241 year: 2016 ident: 10.1016/j.bbagen.2020.129682_bb0225 article-title: VNN1, a potential biomarker for pancreatic cancer-associated new-onset diabetes, aggravates paraneoplastic islet dysfunction by increasing oxidative stress publication-title: Cancer Lett. doi: 10.1016/j.canlet.2015.12.031 – volume: 62 start-page: 590 year: 2015 ident: 10.1016/j.bbagen.2020.129682_bb0020 article-title: Perioperative outcomes after Pancreaticoduodenectomy in elderly patients publication-title: Hepatogastroenterology – volume: 4 start-page: 1742 year: 2005 ident: 10.1016/j.bbagen.2020.129682_bb0065 article-title: Characterization of proteins in human pancreatic cancer serum using differential gel electrophoresis and tandem mass spectrometry publication-title: J. Proteome Res. doi: 10.1021/pr050174l – volume: 115 start-page: 949 year: 2016 ident: 10.1016/j.bbagen.2020.129682_bb0085 article-title: Identification of a novel serum biomarker for pancreatic cancer, C4b-binding protein α-chain (C4BPA) by quantitative proteomic analysis using tandem mass tags publication-title: Br. J. Cancer doi: 10.1038/bjc.2016.295 – volume: 5 year: 2014 ident: 10.1016/j.bbagen.2020.129682_bb0255 article-title: Loss of PPM1A expression enhances invasion and the epithelial-to-mesenchymal transition in bladder cancer by activating the TGF-β/Smad signaling pathway publication-title: Oncotarget doi: 10.18632/oncotarget.2144 – volume: 8 year: 2013 ident: 10.1016/j.bbagen.2020.129682_bb0140 article-title: Circulating endothelial cells and procoagulant microparticles in patients with glioblastoma: prognostic value publication-title: PLoS One doi: 10.1371/journal.pone.0069034 – volume: 6 start-page: 307 year: 2006 ident: 10.1016/j.bbagen.2020.129682_bb0165 article-title: Protein-tyrosine phosphatases and cancer publication-title: Nat. Rev. Cancer doi: 10.1038/nrc1837 – volume: 66 start-page: 2592 year: 2006 ident: 10.1016/j.bbagen.2020.129682_bb0040 article-title: Fibrinogen gamma overexpression in pancreatic cancer identified by large-scale proteomic analysis of serum samples publication-title: Cancer Res. doi: 10.1158/0008-5472.CAN-05-3659 – volume: 388 start-page: 73 year: 2016 ident: 10.1016/j.bbagen.2020.129682_bb0015 article-title: Pancreatic cancer publication-title: Lancet doi: 10.1016/S0140-6736(16)00141-0 – volume: 34 start-page: 310 year: 2007 ident: 10.1016/j.bbagen.2020.129682_bb0045 article-title: Plasma proteomic analysis of pancreatic cancer by 2-dimensional gel electrophoresis publication-title: Pancreas doi: 10.1097/MPA.0b013e31802f2483 – volume: 1 start-page: 845 year: 2002 ident: 10.1016/j.bbagen.2020.129682_bb0160 article-title: The human plasma proteome: history, character, and diagnostic prospects publication-title: Mol. Cell. Proteomics doi: 10.1074/mcp.R200007-MCP200 – volume: 43 start-page: 282 year: 2019 ident: 10.1016/j.bbagen.2020.129682_bb0250 article-title: Quantitative proteomics identifies brain acid soluble protein 1 (BASP1) as a prognostic biomarker candidate in pancreatic cancer tissue publication-title: EBioMedicine doi: 10.1016/j.ebiom.2019.04.008 – volume: 10 start-page: 46 year: 2011 ident: 10.1016/j.bbagen.2020.129682_bb0155 article-title: Mining the plasma proteome for disease applications across seven logs of protein abundance publication-title: J. Proteome Res. doi: 10.1021/pr101052y – volume: 7 start-page: 99 year: 2005 ident: 10.1016/j.bbagen.2020.129682_bb0025 article-title: Complications of pancreatic surgery publication-title: HPB (Oxford) doi: 10.1080/13651820510028936 – volume: 115 start-page: 2443 year: 2002 ident: 10.1016/j.bbagen.2020.129682_bb0200 article-title: BiP is feed-back regulated by control of protein translation efficiency publication-title: J. Cell Sci. doi: 10.1242/jcs.115.11.2443 – volume: 6 start-page: 15375 year: 2015 ident: 10.1016/j.bbagen.2020.129682_bb0095 article-title: Proteogenomic analysis reveals exosomes are more oncogenic than ectosomes publication-title: Oncotarget doi: 10.18632/oncotarget.3801 – volume: 54 start-page: 361 year: 2011 ident: 10.1016/j.bbagen.2020.129682_bb0075 article-title: Quantitative profiling of serum samples using TMT protein labelling, fractionation and LC-MS/MS publication-title: Methods doi: 10.1016/j.ymeth.2011.03.004 – volume: 59 start-page: 65 year: 2015 ident: 10.1016/j.bbagen.2020.129682_bb0185 article-title: Roles of EGFR and KRAS and their downstream signaling pathways in pancreatic cancer and pancreatic cancer stem cells publication-title: Adv. Biol. Regul. doi: 10.1016/j.jbior.2015.06.003 – volume: 28 start-page: 1107 year: 2008 ident: 10.1016/j.bbagen.2020.129682_bb0145 article-title: Circulating microparticles in breast cancer patients: a comparative analysis with established biomarkers publication-title: Anticancer Res. – volume: 5 start-page: 22 year: 2019 ident: 10.1016/j.bbagen.2020.129682_bb0260 article-title: The phosphatase PPM1A inhibits triple negative breast cancer growth by blocking cell cycle progression publication-title: NPJ Breast Cancer doi: 10.1038/s41523-019-0118-6 – volume: 22 start-page: 9694 year: 2016 ident: 10.1016/j.bbagen.2020.129682_bb0005 article-title: Epidemiology of pancreatic cancer publication-title: World J. Gastroenterol. doi: 10.3748/wjg.v22.i44.9694 – volume: 26 start-page: 287 year: 2011 ident: 10.1016/j.bbagen.2020.129682_bb0060 article-title: Screening for serological biomarkers of pancreatic cancer by two-dimensional electrophoresis and liquid chromatography-tandem mass spectrometry publication-title: Oncol. Rep. – volume: 4 year: 2012 ident: 10.1016/j.bbagen.2020.129682_bb0205 article-title: The endoplasmic reticulum-associated degradation pathways of budding yeast publication-title: Cold Spring Harb. Perspect. Biol. doi: 10.1101/cshperspect.a013193 – volume: 11 start-page: 431 year: 2014 ident: 10.1016/j.bbagen.2020.129682_bb0130 article-title: Mass spectrometry-based plasma proteomics: state of the art and future outlook publication-title: Expert Rev. Proteom. doi: 10.1586/14789450.2014.901157 – volume: 74 start-page: 2913 year: 2014 ident: 10.1016/j.bbagen.2020.129682_bb0010 article-title: Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States publication-title: Cancer Res. doi: 10.1158/0008-5472.CAN-14-0155 – volume: 2011 start-page: 628787 year: 2011 ident: 10.1016/j.bbagen.2020.129682_bb0035 article-title: The application of a three-step proteome analysis for identification of new biomarkers of pancreatic cancer publication-title: Int. J. Proteomics doi: 10.1155/2011/628787 – volume: 73 start-page: 352 year: 2009 ident: 10.1016/j.bbagen.2020.129682_bb0070 article-title: A technically detailed and pragmatic protocol for quantitative serum proteomics using iTRAQ publication-title: J. Proteome doi: 10.1016/j.jprot.2009.07.009 – volume: 7 start-page: 912 year: 2011 ident: 10.1016/j.bbagen.2020.129682_bb0240 article-title: A critical role for autophagy in pancreatic cancer publication-title: Autophagy doi: 10.4161/auto.7.8.15762 – volume: 73 start-page: 775 year: 2017 ident: 10.1016/j.bbagen.2020.129682_bb0235 article-title: Structural insights into the interaction of the conserved mammalian proteins GAPR-1 and Beclin 1, a key autophagy protein publication-title: Acta Crystallogr. D Struct. Biol. doi: 10.1107/S2059798317011822 – volume: 10 start-page: 68 year: 2010 ident: 10.1016/j.bbagen.2020.129682_bb0050 article-title: Proteomics analysis of serum protein profiling in pancreatic cancer patients by DIGE: up-regulation of mannose-binding lectin 2 and myosin light chain kinase 2 publication-title: BMC Gastroenterol. doi: 10.1186/1471-230X-10-68 – volume: 15 start-page: 2501 issue: 2016 year: 2016 ident: 10.1016/j.bbagen.2020.129682_bb0120 article-title: SWATH mass spectrometry performance using extended peptide MS/MS assay libraries publication-title: Mol. Cell. Proteom. doi: 10.1074/mcp.M115.055558 – volume: 14 start-page: 1127 issue: 2015 year: 2015 ident: 10.1016/j.bbagen.2020.129682_bb0090 article-title: PROMIS-Quan: a novel proteomic method for plasma biomarker quantification publication-title: Mol. Cell. Proteom. doi: 10.1074/mcp.M114.043364 – volume: 10 start-page: 237 year: 2020 ident: 10.1016/j.bbagen.2020.129682_bb0110 article-title: Identification of novel biomarkers in pancreatic tumor tissue to predict response to neoadjuvant chemotherapy publication-title: Front. Oncol. doi: 10.3389/fonc.2020.00237 – volume: 85 start-page: 12 year: 2009 ident: 10.1016/j.bbagen.2020.129682_bb0195 article-title: The proteasome: overview of structure and functions publication-title: Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. doi: 10.2183/pjab.85.12 – volume: 2007 start-page: 764 year: 1774 ident: 10.1016/j.bbagen.2020.129682_bb0055 article-title: Serum proteomic-based analysis of pancreatic carcinoma for the identification of potential cancer biomarkers publication-title: Biochim. Biophys. Acta – volume: 5 start-page: 9633 year: 2015 ident: 10.1016/j.bbagen.2020.129682_bb0170 article-title: Loss of PTPRM associates with the pathogenic development of colorectal adenoma-carcinoma sequence publication-title: Sci. Rep. doi: 10.1038/srep09633 |
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| Snippet | Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate of all major cancers. Surgery is the only curative intent therapy, but the majority of... |
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| SubjectTerms | adenocarcinoma Aged biomarkers Biomarkers, Tumor - blood Carcinoma, Pancreatic Ductal - blood Carcinoma, Pancreatic Ductal - diagnosis Disease Progression drug therapy Female Humans Male mass spectrometry Microparticles Middle Aged neoplasm progression Pancreatic ductal adenocarcinoma pancreatic neoplasms Pancreatic Neoplasms - blood Pancreatic Neoplasms - diagnosis patients Pilot Projects Plasma Prognosis Prognostic biomarkers Proteasome Endopeptidase Complex - blood protein synthesis protein-tyrosine-phosphatase proteins Proteomics Receptor-Like Protein Tyrosine Phosphatases, Class 2 - blood Receptor-Like Protein Tyrosine Phosphatases, Class 3 - blood relapse resection Retrospective Studies statistical analysis survival rate |
| Title | PSMD11, PTPRM and PTPRB as novel biomarkers of pancreatic cancer progression |
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