PSMD11, PTPRM and PTPRB as novel biomarkers of pancreatic cancer progression
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PSMD11, PTPRM and PTPRB as novel biomarkers of pancreatic cancer progression. / Sahni, Sumit; Krisp, Christoph; Molloy, Mark P; Nahm, Christopher; Maloney, Sarah; Gillson, Josef; Gill, Anthony J; Samra, Jaswinder; Mittal, Anubhav.
in: BBA-GEN SUBJECTS, Jahrgang 1864, Nr. 11, 11.2020, S. 129682.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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T1 - PSMD11, PTPRM and PTPRB as novel biomarkers of pancreatic cancer progression
AU - Sahni, Sumit
AU - Krisp, Christoph
AU - Molloy, Mark P
AU - Nahm, Christopher
AU - Maloney, Sarah
AU - Gillson, Josef
AU - Gill, Anthony J
AU - Samra, Jaswinder
AU - Mittal, Anubhav
N1 - Copyright © 2020 Elsevier B.V. All rights reserved.
PY - 2020/11
Y1 - 2020/11
N2 - BACKGROUND: 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.METHODS: 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.RESULTS: 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.CONCLUSION AND GENERAL SIGNIFICANCE: A novel blood-based biomarker signature for PDAC prognosis was identified.
AB - BACKGROUND: 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.METHODS: 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.RESULTS: 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.CONCLUSION AND GENERAL SIGNIFICANCE: A novel blood-based biomarker signature for PDAC prognosis was identified.
U2 - 10.1016/j.bbagen.2020.129682
DO - 10.1016/j.bbagen.2020.129682
M3 - SCORING: Journal article
C2 - 32663515
VL - 1864
SP - 129682
JO - BBA-GEN SUBJECTS
JF - BBA-GEN SUBJECTS
SN - 0304-4165
IS - 11
ER -