Matching Items (4)
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- All Subjects: cancer evolution
- Creators: Maley, Carlo
- Creators: Anderson, Karen S
Description
The immune system plays a dual role during neoplastic progression. It can suppress tumor growth by eliminating cancer cells, and also promote neoplastic expansion by either selecting for tumor cells that are fitter to survive in an immunocompetent host or by establishing the right conditions within the tumor microenvironment. First, I present a model to study the dynamics of subclonal evolution of cancer. I model selection through time as an epistatic process. That is, the fitness change in a given cell is not simply additive, but depends on previous mutations. Simulation studies indicate that tumors are composed of myriads of small subclones at the time of diagnosis. Because some of these rare subclones harbor pre-existing treatment-resistant mutations, they present a major challenge to precision medicine. Second, I study the question of self and non-self discrimination by the immune system, which is fundamental in the field in cancer immunology. By performing a quantitative analysis of the biochemical properties of thousands of MHC class I peptides, I find that hydrophobicity of T cell receptors contact residues is a hallmark of immunogenic epitopes. Based on these findings, I further develop a computational model to predict immunogenic epitopes which facilitate the development of T cell vaccines against pathogen and tumor antigens. Lastly, I study the effect of early detection in the context of Ebola. I develope a simple mathematical model calibrated to the transmission dynamics of Ebola virus in West Africa. My findings suggest that a strategy that focuses on early diagnosis of high-risk individuals, caregivers, and health-care workers at the pre-symptomatic stage, when combined with public health measures to improve the speed and efficacy of isolation of infectious individuals, can lead to rapid reductions in Ebola transmission.
ContributorsChowell-Puente, Diego (Author) / Castillo-Chavez, Carlos (Thesis advisor) / Anderson, Karen S (Thesis advisor) / Maley, Carlo C (Committee member) / Wilson Sayres, Melissa A (Committee member) / Blattman, Joseph N (Committee member) / Arizona State University (Publisher)
Created2016
Description
Understanding intratumor heterogeneity and their driver genes is critical to
designing personalized treatments and improving clinical outcomes of cancers. Such
investigations require accurate delineation of the subclonal composition of a tumor, which
to date can only be reliably inferred from deep-sequencing data (>300x depth). The
resulting algorithm from the work presented here, incorporates an adaptive error model
into statistical decomposition of mixed populations, which corrects the mean-variance
dependency of sequencing data at the subclonal level and enables accurate subclonal
discovery in tumors sequenced at standard depths (30-50x). Tested on extensive computer
simulations and real-world data, this new method, named model-based adaptive grouping
of subclones (MAGOS), consistently outperforms existing methods on minimum
sequencing depth, decomposition accuracy and computation efficiency. MAGOS supports
subclone analysis using single nucleotide variants and copy number variants from one or
more samples of an individual tumor. GUST algorithm, on the other hand is a novel method
in detecting the cancer type specific driver genes. Combination of MAGOS and GUST
results can provide insights into cancer progression. Applications of MAGOS and GUST
to whole-exome sequencing data of 33 different cancer types’ samples discovered a
significant association between subclonal diversity and their drivers and patient overall
survival.
designing personalized treatments and improving clinical outcomes of cancers. Such
investigations require accurate delineation of the subclonal composition of a tumor, which
to date can only be reliably inferred from deep-sequencing data (>300x depth). The
resulting algorithm from the work presented here, incorporates an adaptive error model
into statistical decomposition of mixed populations, which corrects the mean-variance
dependency of sequencing data at the subclonal level and enables accurate subclonal
discovery in tumors sequenced at standard depths (30-50x). Tested on extensive computer
simulations and real-world data, this new method, named model-based adaptive grouping
of subclones (MAGOS), consistently outperforms existing methods on minimum
sequencing depth, decomposition accuracy and computation efficiency. MAGOS supports
subclone analysis using single nucleotide variants and copy number variants from one or
more samples of an individual tumor. GUST algorithm, on the other hand is a novel method
in detecting the cancer type specific driver genes. Combination of MAGOS and GUST
results can provide insights into cancer progression. Applications of MAGOS and GUST
to whole-exome sequencing data of 33 different cancer types’ samples discovered a
significant association between subclonal diversity and their drivers and patient overall
survival.
ContributorsAhmadinejad, Navid (Author) / Liu, Li (Thesis advisor) / Maley, Carlo (Committee member) / Dinu, Valentin (Committee member) / Arizona State University (Publisher)
Created2019
Description
All multicellular organisms are susceptible to developing cancer, but some organisms have varying sensitivities to the disease. One such organism is the Trichoplax adhaerens which has no documented case of cancer development. T. adhaerens cancer resistance was studied by observing physiological and morphological changes of the organism after radiation treatment. Preliminary experiments suggested that this organism is able to survive exposure to 160 gray radiation treatment almost as well as untreated organisms. The T. adhaerens have two genes, TriadG6402 and TriadG5479, similar to the human genes TP53 and MDM2 respectively. TP53 and MDM2 are the two main genes associated with apoptosis in humans: an important cell regulatory checkpoint involved in cancer prevention. PCR analysis, done after radiation treatment, showed an overexpression of the ortholog gene MDM2 in the T. adhaerens. This may suggest that T. adhaerens block apoptosis from occurring and that their ortholog gene is involved in DNA repair. It is significant to study the gene expression of TriadG6402 and TriadG54791 in T. adhaerens because these genes are well conserved in humans. Future studies of these genes in the T. adhaerens can be used to understand the evolution of the function of these genes in more complex organisms and be used for human cancer prevention.
ContributorsKulkarni, Arathi (Author) / Fortunato, Angelo (Thesis director) / Maley, Carlo (Committee member) / Department of Economics (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Macrostomum lignano is characterized by its elevated regenerative ability conferred by its high percentage of stem cells (the highest recorded for any animal). M. lignano is already used as a model organism for addressing fundamental questions of stem cell biology, aging, regeneration, and reproduction, but not yet cancer.
M. lignano larvae were isolated into separate wells of 24-well plates. After reaching maturity (30 days), the experimental plates were exposed to 5 Gys of X-rays every 4 days for a total of a 25 Gy exposure. We observed phenotypes that may be attributed to the acute effect of irradiation (e.g. blisters) but we recorded two types of phenotypes that may be a result of long-term effects of exposure to radiation. We observed enlarged testis and dark regions/masses that appeared statistically significantly more frequently in the treated animals (Fisher exact test, p=0.0026). Preliminary histological analyses of the enlarged testis suggest a benign testis enlargement due to an aberrant growth of the testes and an accumulation of aberrant spermatozoa. Importantly, we found that, similar to cancer, the dark masses can grow in size over time and the histological analysis confirms that the observed masses are composed of cells completely different from surrounding normal cells. Notably, we observed that those masses can develop and then completely disappear through an observed method of ejection. M. lignano offer the unique possibility to study in vivo cancer development in a simple organism that can easily be cultured in the lab in large numbers.
M. lignano larvae were isolated into separate wells of 24-well plates. After reaching maturity (30 days), the experimental plates were exposed to 5 Gys of X-rays every 4 days for a total of a 25 Gy exposure. We observed phenotypes that may be attributed to the acute effect of irradiation (e.g. blisters) but we recorded two types of phenotypes that may be a result of long-term effects of exposure to radiation. We observed enlarged testis and dark regions/masses that appeared statistically significantly more frequently in the treated animals (Fisher exact test, p=0.0026). Preliminary histological analyses of the enlarged testis suggest a benign testis enlargement due to an aberrant growth of the testes and an accumulation of aberrant spermatozoa. Importantly, we found that, similar to cancer, the dark masses can grow in size over time and the histological analysis confirms that the observed masses are composed of cells completely different from surrounding normal cells. Notably, we observed that those masses can develop and then completely disappear through an observed method of ejection. M. lignano offer the unique possibility to study in vivo cancer development in a simple organism that can easily be cultured in the lab in large numbers.
ContributorsGerman, Adriana (Author) / Fortunato, Angelo (Thesis director) / Maley, Carlo (Committee member) / School of Life Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05