Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent
Better preoperative characterization of patients with pancreatic ductal adenocarcinoma (PDAC) would aid in treatment optimization. Extracellular vesicles (EV) are promising, largely unexplored biomarkers in PDAC. This study aimed to evaluate if plasma EV characteristics are associated with PDAC clin...
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| Format: | Article |
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MDPI AG
2021-01-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/11/2/77 |
| _version_ | 1797406219700273152 |
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| author | David Badovinac Katja Goričar Hana Zavrtanik Miha Petrič Teja Lavrin Nina Mavec Vita Dolžan Aleš Tomažič Metka Lenassi |
| author_facet | David Badovinac Katja Goričar Hana Zavrtanik Miha Petrič Teja Lavrin Nina Mavec Vita Dolžan Aleš Tomažič Metka Lenassi |
| author_sort | David Badovinac |
| collection | DOAJ |
| description | Better preoperative characterization of patients with pancreatic ductal adenocarcinoma (PDAC) would aid in treatment optimization. Extracellular vesicles (EV) are promising, largely unexplored biomarkers in PDAC. This study aimed to evaluate if plasma EV characteristics are associated with PDAC clinical characteristics and overall survival (OS). The prospective cohort included 34 PDAC patients undergoing surgery with curative intent. Patient data and plasma samples were collected preoperatively, intraoperatively and one month postoperatively. Small plasma EV (sEV) concentration and size were determined by nanoparticle-tracking analysis. A Mann–Whitney test, Spearman’s rho and Cox regression were used in statistical analysis. Preoperatively, patients with poorly differentiated tumors had significantly larger plasma sEVs when compared to patients with well/moderately differentiated tumors (mean diameter 176.9 vs. 149.2 nm, <i>p</i> = 0.021), the sEV size even enabling discrimination of the two groups (AUC = 0.742, 95% CI = 0.560–0.923). Plasma sEV characteristics were also a predictor of OS in multivariable analysis. Patients with a more than 33.8% increase in sEV concentration after one month had 7.2 months shorter median OS (<i>p</i> = 0.002), while patients with a more than 28.0% decrease in sEV size had 9.2 months shorter median OS (<i>p</i> = 0.045). Plasma sEV concentration and size correlate with tumor differentiation and may predict OS in PDAC patients. In the future, plasma sEV characteristics could contribute to improved patient stratification for optimized treatment. |
| first_indexed | 2024-03-09T03:23:16Z |
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| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-09T03:23:16Z |
| publishDate | 2021-01-01 |
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| series | Journal of Personalized Medicine |
| spelling | doaj.art-1e00f62351cb483b90c6d23259b4ce9e2023-12-03T15:05:31ZengMDPI AGJournal of Personalized Medicine2075-44262021-01-011127710.3390/jpm11020077Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative IntentDavid Badovinac0Katja Goričar1Hana Zavrtanik2Miha Petrič3Teja Lavrin4Nina Mavec5Vita Dolžan6Aleš Tomažič7Metka Lenassi8Department of Abdominal Surgery, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, SloveniaInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, SloveniaDepartment of Abdominal Surgery, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, SloveniaDepartment of Abdominal Surgery, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, SloveniaInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, SloveniaInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, SloveniaInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, SloveniaDepartment of Abdominal Surgery, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, SloveniaInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, SloveniaBetter preoperative characterization of patients with pancreatic ductal adenocarcinoma (PDAC) would aid in treatment optimization. Extracellular vesicles (EV) are promising, largely unexplored biomarkers in PDAC. This study aimed to evaluate if plasma EV characteristics are associated with PDAC clinical characteristics and overall survival (OS). The prospective cohort included 34 PDAC patients undergoing surgery with curative intent. Patient data and plasma samples were collected preoperatively, intraoperatively and one month postoperatively. Small plasma EV (sEV) concentration and size were determined by nanoparticle-tracking analysis. A Mann–Whitney test, Spearman’s rho and Cox regression were used in statistical analysis. Preoperatively, patients with poorly differentiated tumors had significantly larger plasma sEVs when compared to patients with well/moderately differentiated tumors (mean diameter 176.9 vs. 149.2 nm, <i>p</i> = 0.021), the sEV size even enabling discrimination of the two groups (AUC = 0.742, 95% CI = 0.560–0.923). Plasma sEV characteristics were also a predictor of OS in multivariable analysis. Patients with a more than 33.8% increase in sEV concentration after one month had 7.2 months shorter median OS (<i>p</i> = 0.002), while patients with a more than 28.0% decrease in sEV size had 9.2 months shorter median OS (<i>p</i> = 0.045). Plasma sEV concentration and size correlate with tumor differentiation and may predict OS in PDAC patients. In the future, plasma sEV characteristics could contribute to improved patient stratification for optimized treatment.https://www.mdpi.com/2075-4426/11/2/77pancreatic cancerextracellular vesiclesnanoparticle-tracking analysistumor differentiationoverall survivalplasma biomarkers |
| spellingShingle | David Badovinac Katja Goričar Hana Zavrtanik Miha Petrič Teja Lavrin Nina Mavec Vita Dolžan Aleš Tomažič Metka Lenassi Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent Journal of Personalized Medicine pancreatic cancer extracellular vesicles nanoparticle-tracking analysis tumor differentiation overall survival plasma biomarkers |
| title | Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent |
| title_full | Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent |
| title_fullStr | Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent |
| title_full_unstemmed | Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent |
| title_short | Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent |
| title_sort | plasma extracellular vesicle characteristics correlate with tumor differentiation and predict overall survival in patients with pancreatic ductal adenocarcinoma undergoing surgery with curative intent |
| topic | pancreatic cancer extracellular vesicles nanoparticle-tracking analysis tumor differentiation overall survival plasma biomarkers |
| url | https://www.mdpi.com/2075-4426/11/2/77 |
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