• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • 1
  • Tagged with
  • 4
  • 4
  • 4
  • 4
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

CT Textural Analysis (CTTA) of Metastatic Treatment‐Resistant Pancreatic Adenocarcinoma (PDAC): Identifying Biomarkers for Genetic Instability and Overall Survival

Campbell, David 23 March 2016 (has links)
A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine. / Metastatic, treatment‐resistant pancreatic ductal adenocarcinoma (PDAC) is a rapidly fatal disease that typically carries a bleak prognosis. Contrast‐enhanced CT is the current standard of care tool for imaging evaluation, and repeat imaging is routinely performed in clinical trials. The availability of these imaging data render them exploitable for further analysis. CT texural analysis (CTTA), a quantitative tool for examining a region of interest on CT and generating statistical parameters based on gray‐level pixel data, is powerful technique that has been studied in other cancers and shown to correlate with features such as tumor grade, stage, and prognosis. However, the application of CTTA to PDAC has not been studied. Given the paucity of diagnostic tests to guide therapy, validated CTTA biomarkers could be immensely useful. Identifying PDAC variants that have a relative deficit in DNA repair might allow these cancers to be treated with targeted cytotoxic regimens sooner. Additionally, identifying prognostic CTTA parameters would be useful in gauging the severity of disease. We sought to perform quantitative textural analysis on CT imaging from a clinical trial cohort of patients with metastatic, treatment‐resistant PDAC. We aimed to correlate CTTA features to molecular profiling results (copy number variations obtained by array CGH) and clinical features (overall survival). Metastatic tumor sites from patients with treatment‐resistant PDAC were biopsied and molecularly profiled. Intrachromosal copy number were assessed by CGH in tumor specimens, and patients were treated based on these individual molecular profiling results. Pre‐biopsy portal‐venous phase and non‐contrast CT scans were obtained for retrospective analysis (n=15). CTTA was performed by drawing regions of interest around the primary pancreas adenocarcinoma and the normal pancreas tissue. CTTA parameters including mean positive pixels, entropy, kurtosis, and skewness were derived using the TexRAD platform at texture filtering densities of 0, 2, 3, 4, 5, and 6 pixels. CTTA values were then compared to intrachromosomal copy number variation (CNV) per tumor and overall survival (OS) post treatment using a Spearman’s rank correlation coefficient. Additional linear regression analysis was performed for positive correlations, and a Kaplan‐Meier statistic was generated for OS using median CTTA entropy. Multivariate analyses for CNV and OS were also performed. CNV were negatively correlated with the kurtosis value of the primary tumor mass using medium texture filtering (p=0.034, n=15). Linear regression revealed a significant negative correlation between kurtosis and CNV (p=0.038). Secondary analysis of the normal pancreas using coarse texture filtering revealed that increasing entropy was associated with decreased OS (p=0.0014, n=12). Using median entropy as a cutoff value (median: 4.165), median OS was greater in the entropy < 4.165 group versus the entropy > 4.165 group (179 days v 43 days; 95% CI 73.137 – 166.87; p=0.004, n=12). This exploratory study with admittedly limited sample size raises interesting questions about the use of CTTA parameters as diagnostic tools and/or biopsy adjuncts in assessing PDAC susceptibility to commercially available cytotoxics. Secondarily, entropy, a potential marker of heterogeneity and inflammation in the normal pancreas, represents an intriguing possibility for gauging prognosis.
2

Improved Survival after Administration of Neoadjuvant Chemotherapy in Patients with Clinical Stage I/II Pancreatic Ductal Adenocarcinoma

Hendrix, Ryan J. 06 May 2019 (has links)
Background: Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of US cancer related deaths. This study assessed the oncologic benefit of a neoadjuvant chemotherapy (NAC) treatment strategy for patients with clinical Stage I/II PDAC. Methods: Patients with biopsy confirmed PDAC and clinical Stage I/II disease were treated with a protocol of NAC. The primary study endpoint was median overall survival (OS). Kaplan-Meier survival curves were compared using the log-rank test. Results: 56 patients met inclusion criteria. Of these, 21 patients (38%) had Stage I disease and 35 (62%) had Stage II disease. The median OS for the entire study population was 18.7 months. A total of 22 (39%) patients were managed with NAC+S; 34 (61%) received NAC alone. Median OS and 2-year survival rates were greater in those completing NAC+S compared to NAC alone (median OS 28.8 months vs. 17.3 months: p=0.05; 2-year OS: 55% vs 21%: p=0.01) . Interestingly, patients managed with NAC who were not candidates for surgical resection after restaging demonstrated a survival advantage (17.3 months) compared to what was previously reported in historical controls. Conclusion: NAC+S provided a significant 11.5 month improvement in median OS compared to treatment with NAC alone. Modern NAC may contribute a significant oncologic benefit in the overall treatment strategy for patients with Stage I/II PDAC, even if surgery is not ultimately pursued.
3

Methylated cell-free DNA profiles of patients with pancreatic ductal adenocarcinoma

Mosia, Mpho January 2017 (has links)
A dissertation submitted to the Faculty of Health Sciences, University of the Witwatersrand, in fulfilment of the requirements for the degree of Master of Science, Johannesburg 2017 / The high mortality rates of pancreatic ductal adenocarcinoma (PDAC) are largely attributed to a delayed diagnosis, of which in advanced disease, patients are unable to receive surgical resection with curative intent. Clinical presentations and genetic features shared between PDAC and other pancreatic conditions such as chronic pancreatitis (CP) are insufficient to facilitate the disease and often lead to diagnostic uncertainty at an early stage. The purpose of this study was to develop sensitive and specific non-invasive markers to aid in the detection and disease monitoring of PDAC. Here, circulating cell-free DNA (cfDNA) isolated from plasma samples of patients with PDAC (n= 155) and two control groups consisting of patients with either CP (n= 46) or critical limb ischemia (CLI) (n= 88) revealed significant differences in measured concentrations between the three patient groups (p= 0.006-Kruskal-Wallis test).When two groups were compared with each other using the Wilcoxon rank-sum test, observable differences were seen between the two pancreatic diseases: PDAC and CP (p= 0.002), and between the two controls: CP and the CLI groups (p= 0.007). A strong association was also observed in elevated cfDNA levels of CLI patients with HIV (p= 0.03), indicating a poor prognosis for patients. Results from methylationspecific PCR (MSP) in age-matched patient samples showed promoter methylation to account for the loss of Smad4 in late-stage PDAC; with an observed association with overall increasing cfDNA levels (p= 0.03).This study indicates the potential clinical utility of cfDNA as a non-invasive tool to predict disease progression both quantitatively and qualitatively, as well as to trace epigenetic changes in tumour markers associated with PDAC. Further investigation to identify hypermethylated genes in cfDNA for the early detection of PDAC is warranted. / XL2018
4

The role of the axon guidance molecule Slit2 in pancreatic cancer

Göhrig, Andreas 22 April 2015 (has links)
Lokale Invasion und Ausbreitung von Tumorzellen entlang von Nerven und Gefäßen limitieren den Erfolg kurativer Therapien von Patienten mit Pankreaskarzinom (PDAC). Der axon guidance Faktor Slit2 und seine Robo-Rezeptoren steuern die Navigation von Nerven und Gefäßen sowie die Motilität von Epithelzellen. Sie stellen somit attraktive Regulatoren der klinisch bedeutsamen Ausbreitungswege des PDAC dar. Zielsetzung der vorgelegten Arbeit war die Charakterisierung der Expression von Slit2 im PDAC und seiner Funktion für Tumorwachstum und -ausbreitung. Quantitative Analysen belegten eine deutliche Reduktion der Slit2 mRNA Expression in humanen PDAC Proben im Vergleich zu gesundem Gewebe. Zudem korrelierten Slit2 mRNA-Werte unterhalb des Medians mit einer höheren Inzidenz lymphatischer Metastasierung und einem gesteigerten Prozentsatz befallener Lymphknoten. Die Slit2-Rezeptoren Robo1 und 4 wiesen hingegen vergleichbare Immunreaktivität im Tumor und gesundem Gewebe auf, wobei eine differentielle Lokalisation in Epithelien, Nerven und Gefäßen zu beobachten war. Die Re-Expression von Slit2 in Slit2-defizienten Zelllinien führte zu einer Hemmung der gerichteten Migration und Invasion. Der Robo1-Rezeptor knockdown hingegen stimulierte die Motilität von Tumorzellen mit endogener Slit2 Expression. Slit2-konditioniertes Medium aus Tumorzellen hemmte die Lamellipodienbildung und die Migration von Endothelzellen. In orthotopen humanen Xenograft-Modellen und einem murinen, syngenen Tumormodell reduzierte die Re-Expression von Slit2 in PDAC Zellen Tumorwachstum, Invasion, Metastasierung und Angiogenese. Zudem verminderte die Induktion von Slit2 in PDAC Zellen deren gerichtete Migration entlang aussprießender Neuriten in einem ex vivo Model. Die vorliegenden Daten weisen Slit2 die Funktion eines Tumorsuppressors im duktalen Pankreaskarzinom zu. Ein Verlust der Slit2-Robo Aktivität könnte somit Metastasierung und neuronale Invasion fördern und einen aggressiveren Phänotyp begünstigen. / Early dissemination of pancreatic ductal adenocarcinoma (PDAC) via vascular routes and neural invasion limits curative therapy, suggesting a central role for the interaction of tumor cells with blood vessels and nerves in the tumor stroma. Slit2 and its Robo receptors constitute a system of guidance cues that function in axon guidance, angiogenesis and epithelial morphogenesis, respectively. Here, we studied the expression of Slit2 in PDAC and its function for tumor growth and dissemination. Slit2 mRNA expression was reduced in specimens of human PDAC as compared to non-transformed pancreas and low Slit2 mRNA expression correlated with a higher incidence and a higher extent of lymphatic metastasis. In contrast, the Slit2 receptors Robo1 and Robo4 were uniformly present in clinical samples of PDAC and healthy pancreas and displayed differential localization on epithelial tumor cells, nerves and tumor vasculature. Stable or inducible re-expression of Slit2 in Slit2-deficient PDAC cell lines inhibited directed migration and invasion. Conversely, Robo1-knockdown stimulated the motility of PDAC cells with endogenous Slit2 expression. Tumor cell derived Slit2, furthermore, suppressed lamellipodia formation and migration of primary endothelial cells. In vivo studies in orthotopic human xenograft and mouse syngeneic pancreatic cancer models revealed that re-expression of Slit2 in PDAC cells inhibited tumor growth, invasion, metastasis and angiogenesis. In addition, induction of Slit2 in PDAC cells impaired the unidirectional migration along outgrowing neurites in ex vivo co-cultures of tumor cells and dorsal root ganglia. These data provide evidence for a functional role of Slit2 as a tumor suppressor in human PDAC. A loss of Slit2-Robo activity as observed in human PDAC samples, might consequently promote metastasis and neural invasion and favors a more aggressive phenotype.

Page generated in 0.1125 seconds