Conventional methods of cancer therapy have been severely limited by inefficient delivery of therapeutic doses without incidence of harsh and toxic side effects in normal tissues. Consequently, countless new methods for early detection and drug delivery have been investigated in the area of nanoparticles and hydrogels. Although many of these methods are promising, the complex nature of cancer increases the difficultly for the development of the perfect system. Cellulose nanocrystals (CNCs) have been studied widely for a variety of applications. Despite their advantages, investigations of their abilities in the biomedical field have not been explored. The goal of this project is to delve into the potential uses of CNCs in detection, targeted drug delivery, and potentiation of irreversible electroporation (IRE)-induced cell death in folate receptor (FR)-positive cancers. To accomplish this task we have prepared stable and reproducible CNCs from wood pulp via sulfuric acid hydrolysis. Furthermore, we have functionalized the surface of these nanoparticles and conjugated them with the targeting ligand folic acid (FA) and the fluorescent imaging agent fluorescein-5\'-isothiocyanate (FITC) to create FITC-CNC-FA; CNCs have also been conjugated with doxorubicin (DOX), a potent chemotherapeutic (DOX-ALAL-CNC-FA). We have determined FITC-CNC-FA's and DOX-ALAL-CNC-FA's ability to specifically target FR-positive cancer cells in vitro; meanwhile non-targeted CNCs (FITC-CNC) were shown unable to bind to these cell types. In addition, we have investigated FITC-CNC-FA's pharmacokinetic activity in vivo. To properly model the CNC conjugate's activity in vivo, a physiologically based pharmacokinetic (PBPK) model has been constructed. We have also examined CNCs' ability to potentiate a new technique for tumor ablation, IRE. Pre-incubation with FA-conjugated CNCs (CNC-FA) have shown an increase in cytotoxicity in FR-positive cancer cells induced by IRE. In addition, CNC-FA did not potentiate IRE-induced cytotoxicity in a FR-negative cancer cell type. For a more comprehensive understanding of CNC-FA's ability to potentiate IRE induced cytotoxicity, we optimized a 3D in vitro hydrogel system. Preliminary data suggest this method of experimentation will be more realistic to in vivo studies to be completed in the future. Together, these studies showcase CNCs as efficient and effective nano-carriers in tumor detection and treatment. / Ph. D.

<p>Cancer is a disease that affects millions of people each year. While methods for the prevention and treatment of the disease continue to advance, the early detection of precancerous development remains a key factor in reducing mortality and morbidity among patients. The current gold standard for cancer detection is the systematic biopsy. While this method has been used for decades, it is not without limitations. Fortunately, optical detection of cancer techniques are particularly well suited to overcome these limitations. This dissertation chronicles the development of one such technique called Fourier domain low coherence interferometry (fLCI). </p><p>The presented work first describes a detailed analysis of temporal and spatial coherence. The study shows that temporal coherence information in time frequency distributions contains valuable structural information about experimental samples. Additionally, the study of spatial coherence demonstrates the necessity of spatial resolution in white light interferometry systems. The coherence analysis also leads to the development of a new data processing technique that generates depth resolved spectroscopic information with simultaneously high depth and spectral resolution. </p><p>The development of two new fLCI optical systems is also presented. These systems are used to complete a series of controlled experiments validating the theoretical basis and functionality of the fLCI system and processing methods. First, the imaging capabilities of the fLCI system are validated through scattering standard experiments and animal tissue imaging. Next, the new processing method is validated by a series of absorption phantom experiments. Additionally, the nuclear sizing capabilities of the fLCI technique are validated by a study measuring the nuclear morphology of in vitro cell monolayers.</p><p>The validation experiments set the stage for two animal studies: an initial, pilot study and a complete animal trial. The results of these animal studies show that fLCI can distinguish between normal and dyplastic epithelial tissue with high sensitivity and specificity. The results of the work presented in this dissertation show that fLCI has great potential to develop into an effective method for early cancer detection.</p> / Dissertation

Objectives: Intact cell peptidome profiling (ICPP) with MALDI-ToF Mass-Spectrometry holds promise as a non invasive method to detect head and neck squamous cell carcinoma (HNSCC) objectively, which may improve the early diagnosis of oral cancer tremendously. The present study was designed to discriminate between tumour samples and non-cancer controls (healthy mucosa and oral lesions) by analysing complete spectral patterns of intact cells using MALDI-ToF MS. Material and Methods: In the first step, a data base consisting of 26 patients suffering from HNSCC was established by taking brush biopsy samples of the diseased area and of the healthy buccal mucosa of the respective contralateral area. After performing MALDI-ToF MS on these samples, classification analysis was used as a basis for further classification of the blind study composed of additional 26 samples including HNSCC, oral lesions and healthy mucosa. Results: By analyzing spectral patterns of the blind study, all cancerous lesions were defined accurately. One incorrect evaluation (false positive) occurred in the lesion cohort, leading to a sensitivity of 100%, a specificity of 93% and an overall accuracy of 96.5%. Conclusion: ICPP using MALDI-ToF MS is able to distinguish between healthy and cancerous mucosa and between oral lesions and oral cancer with excellent sensitivity and specificity, which may lead to a more impartial early diagnosis of HNSCC.

abstract: Cancer is one of the most serious global diseases. We have focused on cancer immunoprevention. My thesis projects include developing a prophylactic primary and metastatic cancer vaccines, early cancer detection and investigation of genes involved in tumor development. These studies were focused on frame-shift (FS) antigens. The FS antigens are generated by genomic mutations or abnormal RNA processing, which cause a portion of a normal protein to be translated out of frame. The concept of the prophylactic cancer vaccine is to develop a general cancer vaccine that could prevent healthy people from developing different types of cancer. We have discovered a set of cancer specific FS antigens. One of the FS candidates, structural maintenance of chromosomes protein 1A (SMC1A) FS, could start to accumulate at early stages of tumor and be specifically exposed to the immune system by tumor cells. Prophylactic immunization with SMC1A-FS could significantly inhibit primary tumor development in different murine tumor models and also has the potential to inhibit tumor metastasis. The SMC1A-FS transcript was detected in the plasma of the 4T1/BALB/c mouse tumor model. The tumor size was correlated with the transcript ratio of the SMC1A-FS verses the WT in plasma, which could be measured by regular RT-PCR. This unique cancer biomarker has a practical potential for a large population cancer screen, as well as clinical tumor monitoring. With a set of mimotope peptides, antibodies against SMC1A-FS peptide were detected in different cancer patients, including breast cancer, pancreas cancer and lung cancer with a 53.8%, 56.5% and 12.5% positive rate respectively. This suggested that the FS antibody could be a biomarker for early cancer detection. The characterization of SMC1A suggested that: First, the deficiency of the SMC1A is common in different tumors and able to promote tumor initiation and development; second, the FS truncated protein may have nucleolus function in normal cells. Mis-control of this protein may promote tumor development. In summary, we developed a systematic general cancer prevention strategy through the variety immunological and molecular methods. The results gathered suggest the SMC1A-FS may be useful for the detection and prevention of cancer. / Dissertation/Thesis / Ph.D. Molecular and Cellular Biology 2012

abstract: Despite significant advances in digital pathology and automation sciences, current diagnostic practice for cancer detection primarily relies on a qualitative manual inspection of tissue architecture and cell and nuclear morphology in stained biopsies using low-magnification, two-dimensional (2D) brightfield microscopy. The efficacy of this process is limited by inter-operator variations in sample preparation and imaging, and by inter-observer variability in assessment. Over the past few decades, the predictive value quantitative morphology measurements derived from computerized analysis of micrographs has been compromised by the inability of 2D microscopy to capture information in the third dimension, and by the anisotropic spatial resolution inherent to conventional microscopy techniques that generate volumetric images by stacking 2D optical sections to approximate 3D. To gain insight into the analytical 3D nature of cells, this dissertation explores the application of a new technology for single-cell optical computed tomography (optical cell CT) that is a promising 3D tomographic imaging technique which uses visible light absorption to image stained cells individually with sub-micron, isotropic spatial resolution. This dissertation provides a scalable analytical framework to perform fully-automated 3D morphological analysis from transmission-mode optical cell CT images of hematoxylin-stained cells. The developed framework performs rapid and accurate quantification of 3D cell and nuclear morphology, facilitates assessment of morphological heterogeneity, and generates shape- and texture-based biosignatures predictive of the cell state. Custom 3D image segmentation methods were developed to precisely delineate volumes of interest (VOIs) from reconstructed cell images. Comparison with user-defined ground truth assessments yielded an average agreement (DICE coefficient) of 94% for the cell and its nucleus. Seventy nine biologically relevant morphological descriptors (features) were computed from the segmented VOIs, and statistical classification methods were implemented to determine the subset of features that best predicted cell health. The efficacy of our proposed framework was demonstrated on an in vitro model of multistep carcinogenesis in human Barrett's esophagus (BE) and classifier performance using our 3D morphometric analysis was compared against computerized analysis of 2D image slices that reflected conventional cytological observation. Our results enable sensitive and specific nuclear grade classification for early cancer diagnosis and underline the value of the approach as an objective adjunctive tool to better understand morphological changes associated with malignant transformation. / Dissertation/Thesis / Ph.D. Electrical Engineering 2013

Orale Plattenepithelkarzinome stellen seit Jahrzehnten eine globale Herausforderung im Gesundheitswesen dar. In dieser Studie wird mit dem Optical Stretcher ein neuer diagnostischer Ansatz in der Krebserkennung der Mundhöhle untersucht und im Rahmen einer klinischen Pilotstudie evaluiert. Dabei steht die Beurteilung der viskoelastischen Eigenschaften von oralen Epithelzellen im Vordergrund. Eine entscheidende Rolle spielt hierbei vor allem das Zytoskelett einer Zelle, welches aus unterschiedlichen Faserstrukturen ein komplexes, dynamisches Gerüst bildet und für die Strukturgebung sowie für die mechanischen Eigenschaften der unterschiedlichen Zelltypen verantwortlich ist. In dieser Arbeit wurden diesbezüglich einzelne Zellen im Optical Stretcher ohne direkten mechanischen Kontakt durch zwei gegenüberliegende Laserstrahlen verformt. Dabei wurde die relative Deformation als Längenänderung entlang der Laserachse von gedehnter zu ungedehnter Zelle definiert. Die relative Deformation dient als Vergleichsparameter und unterliegt verschiedenen Einflussfaktoren. Schließlich erlauben das Maß und die Art der Deformation, welche individuell für jede Zelle sind, Rückschlüsse auf ihr biologisches Verhalten. In Kombination mit statistischen Auswertungsalgorithmen war es möglich, signifikante Unterschiede hinsichtlich der relativen Dehnung zwischen benignen und malignen oralen Zellen darzustellen. Die Ergebnisse zeigen, dass der Optical Stretcher in der Lage ist, bereits minimale Veränderungen zwischen den verschiedenen zytoskelettalen Zuständen einer Zelle zu detektieren und somit wird sich die Dehnungsfähigkeit einer Zelle zukünftig als sensibler Zellmarker zur Dignitätsbestimmung etablieren.

Objectives: Intact cell peptidome profiling (ICPP) with MALDI-ToF Mass-Spectrometry holds promise as a non invasive method to detect head and neck squamous cell carcinoma (HNSCC) objectively, which may improve the early diagnosis of oral cancer tremendously. The present study was designed to discriminate between tumour samples and non-cancer controls (healthy mucosa and oral lesions) by analysing complete spectral patterns of intact cells using MALDI-ToF MS. Material and Methods: In the first step, a data base consisting of 26 patients suffering from HNSCC was established by taking brush biopsy samples of the diseased area and of the healthy buccal mucosa of the respective contralateral area. After performing MALDI-ToF MS on these samples, classification analysis was used as a basis for further classification of the blind study composed of additional 26 samples including HNSCC, oral lesions and healthy mucosa. Results: By analyzing spectral patterns of the blind study, all cancerous lesions were defined accurately. One incorrect evaluation (false positive) occurred in the lesion cohort, leading to a sensitivity of 100%, a specificity of 93% and an overall accuracy of 96.5%. Conclusion: ICPP using MALDI-ToF MS is able to distinguish between healthy and cancerous mucosa and between oral lesions and oral cancer with excellent sensitivity and specificity, which may lead to a more impartial early diagnosis of HNSCC.

Indiana University-Purdue University Indianapolis (IUPUI) / Triple-negative breast cancers (TNBCs) are pathologically defined by the absence of estrogen, progesterone, and HER2 receptors. Compared to other breast cancers, TNBC has a relatively high mortality. In addition, TNBC patients are more likely to relapse in the first few years after treatment, and experiencing a shorter median time from recurrence to death. Detecting the presence of tumor in patients who are technically “disease-free” after neoadjuvant chemotherapy and surgery as early as possible might be able to predict recurrence of patients, and then provide timely intervention for additional therapy. To this end, I applied the analysis of “liquid biopsies” for early detection of minimal residual disease (MRD) on early-stage TNBC patients using next-generation sequencing. For the first part of this study, I focused on detecting circulating tumor DNA (ctDNA) from TNBC patients after neoadjuvant chemotherapy and surgery. First, patient-specific somatic mutations were identified by sequencing primary tumors. From these data, 82% of the patients had at least one TP53 mutation, followed by 16% of the patients having at least one PIK3CA mutation. Next, I sequenced matched plasma samples collected after surgery to identify ctDNA with the same mutations. I observed that by detecting corresponding ctDNA I was able to predict rapid recurrence, but not distant recurrence. To increase the sensitivity of MRD detection, in the second part I developed a strategy to co-detect ctDNA along with circulating tumor RNA (ctRNA). An advantage of ctRNA is its active release into the circulation from living cancer cells. Preliminary data showed that more mutant molecules were identified after incorporating ctRNA with ctDNA detection in a metastatic breast cancer setting. A validation study in early-stage TNBC is in progress. In summary, my study suggests that co-detection of ctDNA and ctRNA could be a potential solution for the early detection of disease recurrence. / 2021-08-05

Orale Plattenepithelkarzinome stellen seit Jahrzehnten eine globale Herausforderung im Gesundheitswesen dar. In dieser Studie wird mit dem Optical Stretcher ein neuer diagnostischer Ansatz in der Krebserkennung der Mundhöhle untersucht und im Rahmen einer klinischen Pilotstudie evaluiert. Dabei steht die Beurteilung der viskoelastischen Eigenschaften von oralen Epithelzellen im Vordergrund. Eine entscheidende Rolle spielt hierbei vor allem das Zytoskelett einer Zelle, welches aus unterschiedlichen Faserstrukturen ein komplexes, dynamisches Gerüst bildet und für die Strukturgebung sowie für die mechanischen Eigenschaften der unterschiedlichen Zelltypen verantwortlich ist. In dieser Arbeit wurden diesbezüglich einzelne Zellen im Optical Stretcher ohne direkten mechanischen Kontakt durch zwei gegenüberliegende Laserstrahlen verformt. Dabei wurde die relative Deformation als Längenänderung entlang der Laserachse von gedehnter zu ungedehnter Zelle definiert. Die relative Deformation dient als Vergleichsparameter und unterliegt verschiedenen Einflussfaktoren. Schließlich erlauben das Maß und die Art der Deformation, welche individuell für jede Zelle sind, Rückschlüsse auf ihr biologisches Verhalten. In Kombination mit statistischen Auswertungsalgorithmen war es möglich, signifikante Unterschiede hinsichtlich der relativen Dehnung zwischen benignen und malignen oralen Zellen darzustellen. Die Ergebnisse zeigen, dass der Optical Stretcher in der Lage ist, bereits minimale Veränderungen zwischen den verschiedenen zytoskelettalen Zuständen einer Zelle zu detektieren und somit wird sich die Dehnungsfähigkeit einer Zelle zukünftig als sensibler Zellmarker zur Dignitätsbestimmung etablieren.