Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"cancer heterogeneity"”.
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Machine learning-driven integration of multimodal data for deciphering breast cancer heterogeneity
Breast cancer (BC) is a complex disease with a high degree of heterogeneity. The heterogeneity of BC could be detected at different biological levels using a variety of modern molecular biological techniques. These biotechniques could generate high-throughput and quantitative measurements, such as …
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Identification of DNA Copy Number-Dependent Transcriptional Deregulation inHepatocellular Carcinoma (HCC)
In recent years, cancer heterogeneity, which is essentially inherent in various types ofcancer, has been of interest to the cancer genome research. Many studies using various approaches have tried to solve the conundrum of so-called cancer heterogeneity. However, even though many successes have …
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Resolving Intra-Tumoral Heterogeneity of Breast Cancer Using Single-Cell Multi-Omics
<p>Breast cancer is a highly heterogeneous disease characterized by diverse genetic, transcriptional, and epigenetic landscapes. Understanding how intra-tumoral heterogeneity (ITH) influences therapeutic response and drives tumor evolution remains a central challenge in cancer biology. Here, we …
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Intrinsic subtypes and prognostic implications in epithelial ovarian cancer
Ovarian cancer is the seventh most common cancer in women globally, with approximately 240,000 new cases annually. Although a rare disease, it is the most lethal gynecologic malignancy. Unspecific symptoms result in late diagnosis and a generally poor prognosis. However, ovarian cancer is a …
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NCIS: a network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression
Cancer subtype information is critically important for designing more effective treatments. In this thesis, we introduce a new co-clustering algorithm for cancer subtype identification, which combines the information of gene networks to simultaneously group samples and genes into biologically …
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Towards a Reliable Deep Learning Framework for Prostate Cancer Diagnosis using Ultrasound
Reliable prostate cancer (PCa) detection using ultrasound is crucial for improving patient outcomes. Developing deep learning (DL) models for PCa detection is hindered by noisy labels and cancer heterogeneity. The purpose of this work is to develop a clinically applicable framework for DL-based …
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Metastatic Breast Cancer: Biomolecular Characterization and Targeted Therapy
… a major challenge in the clinical management of cancer, because most cancer-related deaths are attributed to disseminated disease rather than the primary tumor. Despite the significant advances in the prediction of prognosis, and therapeutic management of primary breast cancers, coupled with the …
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Defining cell state regulators in cancers using single-cell analysis and CRISPR-Cas9 screening
… and accessible, our understanding of cancer heterogeneity and its impact on clinical outcomes are being realised. Whilst genomic variation has been extremely useful for cancer stratification and development of targeted therapies, they do not always underpin variable therapeutic …
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Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction
Most cancers lack effective early disease markers, prognostic and predictive signatures, primarily due to tumor heterogeneity. As a result, we fail treating cancer heterogeneity due to multiple ways cancer initiates and develops treatment resistance. Models that represent these differences and the …
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Significance of Altered Golgi Apparatus and Cell Fusion Events in Ovarian Cancer Cells
Ovarian cancer is one of the most lethal gynaecological cancer. Heterogeneity associated with this cancer can be partially attributed to cancer cells being highly multinucleated and polyploid in nature. Stress-induced cytotoxic effects of cisplatin - a chemotherapy drug used to treat ovarian …
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Expansion microscopy : scalable and multiplexed nanoscale imaging
… biological processes such as brain function, cancer heterogeneity and organismal development.
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Intra-tumor heterogeneity and evolution
Although the treatment of cancer is a major focus of biomedical research, many cancers are extremely hard to treat. Tumors likely resist treatment because each tumor is heterogeneous, and can evolve. Although tumor evolution has long been appreciated, it remains incompletely understood. In this …
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Clonal deconvolution of transcriptomic signatures and their spatial organisation in a mouse model of breast cancer
Intratumour heterogeneity is a phenomenon during cancer progression in which cancer cells diverge and form clonal populations with distinct phenotypic, genetic, or epigenetic states within the same tumour. This intrinsic heterogeneity provides a fuel for cancer evolution enabling tumour cell …
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Oncogene-induced remodelling of cellular networks
… to the partial loss of homeostatic control and cancer- related phenotypes. Cancer is a very heterogeneous disease with genetic alterations that exhibit vast variability within a tumour, between tumours of different tissues, and patients. Despite the enormous advances the community has achieved …
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Deconvolution of Leukemic Evolution Through Initiation, Progression and Relapse
Significant advancements in the study of the genomic architecture of B-cell acute lymphoblastic leukemia (B-ALL) have been made, but our understanding of the mechanisms of leukemic initiation and progression remain limited. To gain clarity on these processes, a deeper understanding of the …
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Integrative Bioinformatics Approaches to Elucidating Prostate Cancer Cell Heterogeneity, Plasticity, and Treatment Response
<p>Prostate cancer (PCa) is the most common non-cutaneous tumor in American men, and the second leading cause of cancer-related deaths. PCa-related deaths can be attributed to heterogeneous tumors containing metastatic and therapy-resistant cancer cells. Cancer stem cells (CSC) are an important …
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Algorithms for cancer genome data analysis - Learning techniques for ITH modeling and gene fusion classification
L'abstract è presente nell'allegato / the abstract is in the attachment
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Dissecting Tumor Heterogeneity In Lung Cancer
<p>Lung cancer is a heterogeneous disease composed of genetically and phenotypically distinct tumor cells as well as a heterogeneous microenvironment consisting of non-cancer cells and extracellular matrix. Constant interactions among these components ultimately leads to a complex tumor tissue that …