Cancer Biology Commons^™

Abl1/2 And Ddr1 Cooperate To Stabilize Braf/Craf To Drive Erk1/2 Reactivation And Promote Mek Inhibitor Resistance In Nras-Mutant Melanomas, Anastasia Lyon

Theses and Dissertations--Pharmacology and Nutritional Sciences

This study addresses the escalating incidence of NRAS-mutant melanomas, a type of skin cancer lacking FDA-approved targeted therapies. Despite ongoing research targeting the RAF/MEK/ERK pathway, existing drugs fail to enhance progression-free survival due to acquired resistance. This project identifies a novel role for ABL1/2 and DDR1 kinases in driving drug resistance and proliferation of NRAS-mutant melanoma cells. ABL1/2 and DDR1 cooperate to promote RAF homodimerization and protein stability in order to reactivate MEK/ERK signaling to drive MEK1/2 inhibitor (MEKi) resistance and promote survival of resistant cells. By targeting ABL1/2 and DDR1 with nilotinib, a FDA-approved anti-leukemic inhibitor, we …

A Rainy Day For Cancer: The Characterization And Utilization Of The Long Non-Coding Rna Lnc-Rainy In The Radiation Response Of Non-Small Cell Lung Cancer, Emily S. Rice

Graduate Theses, Dissertations, and Problem Reports (ETD)

Lung Cancer remains the leading cause of cancer-related deaths worldwide. While important improvements have been made to the treatment of non-small cell lung cancer (NSCLC), treatment resistance is a critical issue facing the majority of patients. Previously, our lab identified a group of long non-coding RNAs (lncRNAs) known as linc-SPRY3 RNAs, expressed on the Y-chromosome, that play a role in radiation sensitivity by decreasing tumor burden in vitro and in vivo after radiation. Through molecular cloning methods and further functional characterization, here we present evidence that the linc-SPRY3 RNAs were originally mischaracterized as individual linc-RNAs but are in fact parts …

Enhancement Of Antitumor Effects Of Berberine Chloride With A Copper(Ii) Complex Against Human Triple Negative Breast Cancer: In Vitro Studies, Duaa R. Alajroush, Brittney F. Anderson, Janae A. Bruce, Christian I. Lartey, Dazonte A. Mathurin, Sean T. Washington, Tanaya S. Washington, Sidy Diawara, Sakariyau A. Waheed, Kaylin L. Thomas, Stephen J. Beebe, Alvin A. Holder

Chemistry & Biochemistry Faculty Publications

In this study, the copper(II) complex [Cu(chromoneTSC)Cl₂]•0.5H₂O•0.0625C₂H₅OH (where chromoneTSC = (E)-N-Ethyl-2-((4-oxo-4H-chromen-3-yl)methylene)-hydrazinecarbothioamide) was synthesized and characterized; then used to carry out in vitro studies in combination with berberine chloride (BBC). The ligand and complex were characterized by elemental analysis, FTIR and NMR (¹H and ¹³C) spectroscopy, and conductivity measurements. The cytotoxic effect was analyzed by using the CCK-8 viability assay in cancer MDA-MB-231 VIM RFP and non-cancer MCF-10A cell lines. The IC₅₀ values for the complex and BBC were 21.2 ± 1.6 and 48.3 ± 2.4 μM, respectively at 24 h incubation, while the IC₅₀ value of the combination treatment …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Evidence Of Direct Interaction Between Cisplatin And The Caspase-Cleaved Prostate Apoptosis Response-4 Tumor Suppressor, Krishna K. Raut, Samjhana Pandey, Gyanendra Kharel, Steven M. Pascal

Chemistry & Biochemistry Faculty Publications

Prostate apoptosis response-4 (Par-4) tumor suppressor protein has gained attention as a potential therapeutic target owing to its unique ability to selectively induce apoptosis in cancer cells, sensitize them to chemotherapy and radiotherapy, and mitigate drug resistance. It has recently been reported that Par-4 interacts synergistically with cisplatin, a widely used anticancer drug. However, the mechanistic details underlying this relationship remain elusive. In this investigation, we employed an array of biophysical techniques, including circular dichroism spectroscopy, dynamic light scattering, and UV–vis absorption spectroscopy, to characterize the interaction between the active caspase-cleaved Par-4 (cl-Par-4) fragment and cisplatin. Additionally, elemental analysis was …

Observed Effects Of Physiological Melatonin Dosing On Mda-Mb-231 Breast Cancer Cell Proliferation, Wenli Wu

Williams Honors College, Honors Research Projects

This project seeks to evaluate pharmacological dosing of melatonin on the cell proliferation of MDA-MB-231 breast cancer cell line in culture, using the two solubility carriers: DMSO/water and ethanol. This experiment is a component of ongoing research at the Eaton lab which will elucidate melatonin dose-response toxicology in zebrafish and a possible breast cancer xenograft model for novel treatment therapies.

Exploring The Molecular Pathways Of Cell Death Induced By Pde3 Modulators, Aqsa Ahsan

Dissertations, Master's Theses and Master's Reports

Metabolic dysregulation, a critical hallmark of cancer, predisposes potential vulnerabilities for the development of targeted therapy. LKB1, a pivotal metabolic regulator and tumor suppressor, is often lost in many cancers. Our laboratory has unveiled that LKB1 suppresses phosphodiesterases (PDEs), and PDE3 modulators can selectively eradicate LKB1-deficient tumor cells. Through metabolic gene sgRNA library screening, Sarcolipin, an inhibitor of Sarcoendoplasmic Reticulum Calcium ATPase (SERCA), emerged as essential for cell death in this context. However, the precise molecular mechanisms by which PDE3 modulators exert their effects remain elusive. This study aims to uncover these mechanisms via RNA-Seq profiling and differential gene analysis, …

Atm-/-Ung-/- Mice Present Reduced Levels Of Switched Immunoglobulin Isotypes Igg1 And Igg3, Lyric M. Haughton

Dissertations and Theses

B cells excise and recombine the immunoglobulin heavy chain gene locus during class switch recombination (CSR). CSR is mediated by activation induced cytidine deaminase (AID) and results in a new immunoglobulin isotype that B cells will secrete and present. AID produces mutations that convert cytosines to uracils within the intronic switch regions that precede and follow the target immunoglobulin isotype coding sequence. To resolve the mutations, B cells conduct either base excision repair (BER) or mismatch repair (MMR). Inactivating genetic mutations in BER or MMR reduce CSR. For example, a knock-out of uracil DNA glycosylase (UNG) causes a 50% reduction …

Synthesis Of Novel 5-Aryl 2’-Deoxyuridine And 2’-Deoxycytidine Analogues, Kevin E. Persaud

Dissertations and Theses

Briefly, the following report details a synthetic route to prepare 5-phenyl-2’-deoxycytidine analogues. This multistep synthesis began with silyl protection of the 3’- and 5’-hydroxyl groups of 5-iodo-2’-deoxyuridine. Next, the installation of a phenyl ring at the C5 position of the nucleobase via a Suzuki-Miyaura cross-coupling reaction, yielding 5-phenyl-2’-deoxyuridine (5-PdU). After that, modification of the obtained 5-PdU at the C4 position was performed with benzotriazole-1-yl-oxy-tris-(dimethylamino)-phosphonium hexafluorophosphate (BOP, a peptide-coupling agent) and a base (cesium carbonate) to activate the amide group of the uridine nucleobase for subsequent displacement with a variety of amines. Modification of the C4 position resulted in protected 5-phenyl-2’-deoxycytidine …

Nanotoxicology Of Cdse/Zns Quantum Dot Alternatives In Thle-2 And Hepg2 Liver Cells, Seth Harris

Graduate Theses/Dissertations

Fluorescent nanoparticles known as quantum dots (QDs) have unique properties that make them useful in biomedicine. Specifically, CdSe/ZnS QDs, while good at fluorescing, show toxicity. Due to this, safer alternatives have been developed. This study uses an XTT viability assay, ROS fluorescent imaging, and apoptosis to investigate the effect of QD alternatives InP/ZnS, CuInS₂/ZnS, and carbon dots (NCD) in liver cells. The liver is a possible destination for accumulation of QDs making it an appropriate model for testing. A cancerous liver cell line known as HepG2, and an immortalized liver cell line known as THLE-2 were used. At …

Elucidating The Role Of Sialic Acid In Tumorigenic Pathways, Kakali Das

Electronic Theses and Dissertations

Hypersialylation is a prognostic biomarker in cancer cells. The upregulated sialic acid expression on cancer cells facilitates tumorigenesis by playing a critical role in cancer cell proliferation and growth, immune evasion, cell signaling, and metastasis by interacting with various carbohydrate-binding molecules. Sialic acids on cancer cell surface undergo various modifications like O-acetylation at positions 4,7,9 de-acetylation and addition of glycolyl group at position 5. In our first chapter we analyzed the effect of de-acetylated sialic acid on migration via selectin binding in colon cancer cell line HCT116 and in lung cancer cell line A549. Selectins are calcium-dependent cell adhesion molecules …

Tim/Tam Receptors: A Potential Biomarker For Predicting Sensitivity To Zika Virus-Induced Oncolysis In Non-Small Cell Lung Cancers, Shankari Somasekar

Honors Undergraduate Theses

Non-small cell lung cancers (NSCLC) constitute 80-85% of lung cancers and are the leading cause of cancer-related deaths globally. The most common cause is prolonged smoking. Current treatment options for NSCLC include surgery, radiation, chemotherapy, targeted drug therapy, and immunotherapy. Although these medications are effective in the short term, patients often face issues of drug resistance and debilitating side effects with prolonged use. Currently, the use of Zika virus (ZIKV) is being researched as a possible alternative treatment for cancer, which minimizes side effects and the risk of drug resistance. TIM/TAM proteins are identified as the putative ZIKV receptors on …

Methylene Blue-Mediated Photodynamic Therapy In Combination With Doxorubicin: A Novel Approach In The Treatment Of Ht-29 Colon Cancer Cells, Nima Rastegar-Pouyani, Jaber Zafari, Alireza Nasirpour, Hossein Vazini, Nabbaa Najjar, Seyedeh Zohreh Azarshin, Fatemeh Javani Jouni

Electrical & Computer Engineering Faculty Publications

Introduction: With an alarmingly growing number of patients diagnosed with colorectal cancer, adopting innovative anti-cancer approaches has recently garnered great attention. One interesting concept is the co-administration of cytotoxic agents and safer modalities such as photodynamic therapy (PDT), which can subsequently improve therapeutic efficacy and potentially reduce the risks of severe adverse effects and drug resistance. In the course of PDT, a locally injected photosensitizer (PS) is irradiated with a light source, which subsequently generates reactive oxygen species (ROS) and induces programmed cell death in tumor cells.

Methods: In this study, to evaluate the potential anti-cancer effects of chemotherapy combined …

A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D'Souza

Department of Medicine Faculty Publications

Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well-studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: Von Hippel-Landau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). …

Paper-Based Dna Biosensor For Rapid And Selective Detection Of Mir-21, Alexander Hunt, Sri Ramulu Torati, Gymama Slaughter

Electrical & Computer Engineering Faculty Publications

Cancer is the second leading cause of death globally, with 9.7 million fatalities in 2022. While routine screenings are vital for early detection, healthcare disparities persist, highlighting the need for equitable solutions. Recent advancements in cancer biomarker identification, particularly microRNAs (miRs), have improved early detection. MiR-21 is notably overexpressed in various cancers and can be a valuable diagnostic tool. Traditional detection methods, though accurate, are costly and complex, limiting their use in resource-limited settings. Paper-based electrochemical biosensors offer a promising alternative, providing cost-effective, sensitive, and rapid diagnostics suitable for point-of-care use. This study introduces an innovative electrochemical paper-based biosensor that …

Identifying New Cancer Genes Based On The Integration Of Annotated Gene Sets Via Hypergraph Neural Networks, Chao Deng, Hong-Dong Li, Li-Shen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation

Identifying cancer genes remains a significant challenge in cancer genomics research. Annotated gene sets encode functional associations among multiple genes, and cancer genes have been shown to cluster in hallmark signaling pathways and biological processes. The knowledge of annotated gene sets is critical for discovering cancer genes but remains to be fully exploited.

Results

Here, we present the DIsease-Specific Hypergraph neural network (DISHyper), a hypergraph-based computational method that integrates the knowledge from multiple types of annotated gene sets to predict cancer genes. First, our benchmark results demonstrate that DISHyper outperforms the existing state-of-the-art methods and highlight the advantages of …

Sccad: Cluster Decomposition-Based Anomaly Detection For Rare Cell Identification In Single-Cell Expression Data, Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong-Dong Li, Jianxin Wang

Computer Science Faculty Publications

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. However, these rare cell types may be overlooked during the clustering phase, posing challenges for their accurate identification. In this paper, we propose a Cluster decomposition-based Anomaly Detection method (scCAD), which iteratively decomposes clusters based on the most differential signals in each cluster to effectively separate …

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Exploring 3d Genome Interaction And Epigenetic Regulation Via Swi/Snf Complex And Deep Learning Models, Ruoyun Wang

Dartmouth College Ph.D Dissertations

The three-dimensional organization of the genome is fundamental in regulating gene expression and maintaining cellular function. This organization's complexities, influenced by epigenetic marks and chromatin remodeling complexes, are crucial for understanding genomic regulation. Among these, the SWI/SNF complexes are key, facilitating chromatin accessibility and regulating gene activity across cell types. The first part of my dissertation focuses on SWI/SNF complexes, exploring their role in chromatin remodeling and their impact on 3D genome architecture. Utilizing next-generation sequencing (NGS) techniques, this section investigates the interplay between these complexes and chromatin structure. During my research on the SWI/SNF complex, I was intrigued by …

Near-Infrared Paired-Agent Imaging For In Vivo Quantification Of Receptor Occupancy In Tumor, Yichen Feng

Dartmouth College Ph.D Dissertations

Accurate assessment of drug receptor occupancy (RO) holds significant importance in both drug development and personalized medicine, as it facilitates quantitative characterization of dose-response relationship for a given drug. This information not only aids appropriate dose selection for clinical trials but also guides personalized dose optimization in precision medicine.

Molecular imaging, utilizing receptor-specific imaging agents for tissue visualization, has emerged as the major option for in vivo measurement of tissue RO. Nonetheless, the abnormal yet complex structure and hemodynamics of tumors often lead to substantial non-specific uptake and retention of imaging agents, thus introducing significant bias to RO measurements. To …

Estrogen Receptor (Er) Alpha Regulatory Mechanisms And Therapeutic Strategies In Er+ Breast Cancer, Bianca A. Romo

Dartmouth College Ph.D Dissertations

Breast cancer is among the most frequently diagnosed cancers in the U.S. and is one of the leading causes of cancer-related mortalities, second to lung cancer. Estrogen receptor alpha-positive (ER+) breast cancer accounts for 2/3 of diagnosed cases. Patients diagnosed with this subtype of breast cancer typically undergo endocrine therapy that aims to mitigate the growth-promoting effects of estrogen/ER. While therapies are effective, 1/3 of patients will experience recurrence. To begin addressing this drug-resistant patient population, we investigated potential drug targets involved in response to treatment.

Coregulators have been implicated in the regulation of ER transcriptional activity and subsequently affecting …

Identification And Therapeutic Targeting Of Metabolic Alterations In Estrogen Receptor-Positive Breast Cancer, Steven Tau

Dartmouth College Ph.D Dissertations

Estrogen receptor-positive breast cancer remains one of the most frequently diagnosed cancers in women. Despite adjuvant endocrine therapy reducing the rate of recurrence, there remains a significant proportion of patients whose breast cancer will recur years to decades after the initial diagnosis. The underlying biology of tumor cells in the period between initiation of adjuvant therapy and recurrence is relatively unexplored, preventing the development of better treatment options. From a genome-wide screening approach, we identified and characterized broad metabolic reprogramming associated with the persistent cell state. We demonstrate that a decreased ability to metabolize glucose in turn pushes a higher …

Personalized Molecular Therapies For Advanced Non-Small Cell Lung Cancer: Overcoming Heterogeneity To Optimize Treatment Response And Clinical Outcomes, Zuan-Fu Lim

Graduate Theses, Dissertations, and Problem Reports (ETD)

Lung cancer remains one of the deadliest cancers. Novel, paradigm shifting treatments including immunotherapy and targeted therapies have recently been developed to cull the deadly effects of lung cancer, but many challenges remain. There remains a significant unmet need to accurately predict and optimally select for patients who will respond to immune checkpoint inhibitors (ICI) treatment. In Chapter 2 of this dissertation, we investigated a novel live single cell cytokine profiling lab-on-chip platform, IsoLight, using peripheral CD4+ and CD8+ T-cells for ICI biomarker development. A total of 55,175 single T-lymphocytes were analyzed in this proof-of-concept study. We found that an …

Immunomodulation In Osteosarcoma: From Therapy To Diagnostics, Ryan Austin Lacinski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Osteosarcoma (OS) is a rare pediatric bone malignancy. Those who develop advanced disease, often in the form of metastasis to the lung, experience poor five-year survival rates near approximately 25%. Considering minimal-to-no therapeutic breakthroughs have occurred for treatment of this disease since the 1980s, efforts to develop new therapeutics are underway. The goal of this dissertation was to initiate the preclinical efforts necessary to reinvigorate the use of immunostimulatory cytokine therapy for the treatment of OS and other solid tumors. This effort would not only include the development of the immunotherapeutic known as IL12ns, but also the clinical diagnostic tools …