scholarly journals 2343

2017 ◽  
Vol 1 (S1) ◽  
pp. 62-62
Author(s):  
Jose Ignacio Varillas ◽  
Jinling Zhang ◽  
Weian Sheng ◽  
Kangfu Chen ◽  
Isis Barnes ◽  
...  

OBJECTIVES/SPECIFIC AIMS: The goal of this research is to use circulating tumor cells (CTC) enumeration and characterization to monitor anticancer treatment response. Emerging evidence strongly suggests the implications that epithelial-to-mesenchymal transition may have in cancer metastasis. Consequently, we hope to elucidate the significance of mesenchymal and stem-like CTCs in the peripheral blood of metastatic pancreatic cancer patients by analyzing the prevalence and frequency trends of CD133+ CTCs, as they relate to clinical events. We also hope to determine if there is a correlation between EpCAM+ CTCs and CD133+ CTCs numbers with tumor size, disease stage, and patient clinical outcome. METHODS/STUDY POPULATION: Blood samples of patients with metastatic pancreatic cancer (stage IV) were obtained from the University of Florida Health Cancer Center after informed consent through an IRB-approved protocol. CTC capture, characterization, and enumeration was performed on the blood of these cancer patients during their anticancer treatment. Patients had blood drawn for this purpose at time points aligned with clinical phlebotomy (every 2 weeks). CTC capture was performed by introducing treated patient blood samples into antibody-functionalized microdevices. The PDMS devices were functionalized by immobilizing either anti-EpCAM or anti-CD133, through an avidin-biotin complex. After capture, cells were fixated and permeabilized with 4% paraformaldehyde and 0.2% Triton X-100, respectively. Three-color immunocytochemistry (anti-cytokeratin-FITC, anti-CD45-PE, and DAPI) was performed to identify CTCs from nonspecifically captured blood cells. To be counted as a CTC, based on the FDA-approved technical definition, a cell with the appropriate cell size and morphology must be nucleated (DAPI+), express cytokeratin (CK+), and lack the leukocytic CD45 marker (CD45−). RESULTS/ANTICIPATED RESULTS: We tested the clinical utility of the device for monitoring the response of patients with advanced pancreatic cancer to a chemotherapy treatment consisting of anticancer drugs including 5-fluorouracil, leucovorin, oxaliplatin, and dasatinib. We have detected EpCAM+ CTCs in 47/47 (100%) and CD133+ CTCs in 41/47 (87.2%) of blood samples, coming from a cohort of 16 patients. We studied the correlation between the CTC numbers and the clinical result of patients in the study. We found that the size and changes in the size of the primary tumor (confirmed by CT scans) correlated with the frequency and increase/decrease trends in the number of CTCs detected. We expect to find some relationship between the number of detected CD133+ CTCs, or rather stem-like CTCs, and the clinical outcome of patients (eg, disease progression leading to withdrawal from study). DISCUSSION/SIGNIFICANCE OF IMPACT: Enumeration of patient CTCs and stem-like CTCs at different stages of a patient’s treatment may correlate with disease stage and prognosis, and prove useful in monitoring early recurrence, patient-specific treatment response, and newly acquired resistances; all of which would aid in providing guidance for the next step in clinical intervention. This type of liquid biopsy technology has great potential to make an impact in the future of personalized medicine and point-of-care diagnostics, as well as become a sturdy tool for translational research.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 326-326
Author(s):  
Peter E Huber ◽  
Carmen Timke ◽  
Nils H Nicolay ◽  
Ramon Lopez

326 Background: Pancreatic cancer is a cancer with dismal prognosis. Multimodal therapy approaches integrating targeted drugs into radiochemotherapy regimens may be promising concepts for patients with locally advanced disease. It would be desirable to better understand patterns of therapy response, clinical outcome and side effect spectra by performing gene expression and protein analyses from blood samples before, during and after actual treatments. Methods: At defined time points before, during and after neoadjuvant triple therapy consisting of IMRT +/-gemcitabine chemotherapy +/-cetuximab EGFR antibodies, blood samples were collected from 21 patients with advanced pancreatic cancer. Whole blood transcriptomics was performed using Agilent’s human genome wide microarray platform. Quantitative serum protein analysis was performed using the ‘FastQuant’ (sandwich antibody) system on 20 selected proteins with a focus on cytokines and angiogenesis related proteins. Cluster analyses were performed and array data were correlated to local control, survival, CA19-9 response, and side effects e.g. acne grading and hematotoxicity. Results: Whole blood transcriptomics was feasible and showed statistically significant prognostic and predictive value for therapy specific and patient specific expression signatures. RNA expression signatures obtained before and during treatment course appeared to have significant statistical power to predict CA19-9 response, clinical outcome and side effect parameters. Similarly, the serum proteomic time course correlated with clinical outcome. Moreover, cetuximab increased e.g. PDGF, MCP-1, Rantes, Il-6, Angiopoietin, serum and downregulated TIMP-1, Il-8, and Angiogenin levels while radiochemotherapy had primarily the respective opposite effects. Conclusions: Whole blood analyses provides a promising tool to monitor pancreatic cancer patients undergoing radiotherapy+gemcitabine+cetuximab, and the protein and gene expression “signatures” from blood may be prognostic and predictive for clinical endpoints.


2017 ◽  
Vol 34 (8) ◽  
Author(s):  
Cristina Arqueros ◽  
Juliana Salazar ◽  
M. J. Arranz ◽  
Ana Sebio ◽  
Josefina Mora ◽  
...  

2019 ◽  
Author(s):  
Joe T Sharick ◽  
Christine M Walsh ◽  
Carley M Sprackling ◽  
Cheri A Pasch ◽  
Alexander A Parikh ◽  
...  

New tools are needed to match pancreatic cancer patients with effective treatments. Patient-derived organoids offer a high-throughput platform to personalize treatments and discover novel therapies. Currently, methods to evaluate drug response in organoids are limited because they cannot be completed in a clinically relevant time frame, only evaluate response at one time point, and most importantly, overlook cellular heterogeneity. In this study, non-invasive optical metabolic imaging (OMI) of cellular heterogeneity in organoids was evaluated as a predictor of clinical treatment response. Organoids were generated from fresh patient tissue samples acquired during surgery and treated with the same drugs as the patient's prescribed adjuvant treatment. OMI measurements of heterogeneity in response to this treatment were compared to later patient response, specifically to the time to recurrence following surgery. OMI was sensitive to patient-specific treatment response in as little as 24 hours. OMI distinguished subpopulations of cells with divergent and dynamic responses to treatment in living organoids without the use of labels or dyes. OMI of organoids agreed with long-term therapeutic response in patients. With these capabilities, OMI could serve as a sensitive high-throughput tool to identify optimal therapies for individual pancreatic cancer patients, and to develop new effective therapies that address cellular heterogeneity in pancreatic cancer.


2015 ◽  
Vol 48 (1) ◽  
pp. 145-152 ◽  
Author(s):  
SHINICHIRO HASEGAWA ◽  
HIROAKI NAGANO ◽  
MASAMITSU KONNO ◽  
HIDETOSHI EGUCHI ◽  
AKIRA TOMOKUNI ◽  
...  

2017 ◽  
Vol 18 (4) ◽  
pp. 730 ◽  
Author(s):  
Matteo Piciucchi ◽  
Serena Stigliano ◽  
Livia Archibugi ◽  
Giulia Zerboni ◽  
Marianna Signoretti ◽  
...  

Pancreatology ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. S129
Author(s):  
Caterina Vivaldi ◽  
Carla Cappelli ◽  
Francescamaria Donati ◽  
Lorenzo Fornaro ◽  
Gianna Musettini ◽  
...  

2015 ◽  
Vol 3 (S2) ◽  
Author(s):  
Matthew R Farren ◽  
Thomas Mace ◽  
Susan Geyer ◽  
Sameh Mikhail ◽  
Christina Wu ◽  
...  

2020 ◽  
Vol 31 ◽  
pp. S151
Author(s):  
I. Pecora ◽  
C. Vivaldi ◽  
G. Rovesti ◽  
S. Catanese ◽  
F. Salani ◽  
...  

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