Genetic Structures Commons^™

Dna Methylation And Machine Learning: Challenges And Perspective Toward Enhanced Clinical Diagnostics, Erfan Aref-Eshghi, Arash B Abadi, Mohammad-Erfan Farhadieh, Amirreza Hooshmand, Fatemeh Ghasemi, Leila Youssefian, Hassan Vahidnezhad, Taylor Martin Kerrins, Xiaonan Zhao, Mahdi Akbarzadeh, Hakon Hakonarson, Amir Hossein Saeidian

Faculty, Staff and Students Publications

DNA methylation is an epigenetic modification that regulates gene expression by adding methyl groups to DNA, affecting cellular function and disease development. Machine learning, a subset of artificial intelligence, analyzes large datasets to identify patterns and make predictions. Over the past two decades, advances in bioinformatics technologies for arrays and sequencing have generated vast amounts of data, leading to the widespread adoption of machine learning methods for analyzing complex biological information for medical problems. This review explores recent advancements in DNA methylation studies that leverage emerging machine learning techniques for more precise, comprehensive, and rapid patient diagnostics based on DNA …

Germline Cancer Predisposition Results From The National Cancer Institute-Children's Oncology Group Pediatric Match Trial, Sarah Scollon, Sharon E Plon, Steven Joffe, Jaclyn A Biegel, Shashikant Kulkarni, George Miles, David R Patton, Brent Coffey, Cynthia L Winter, Gregory J Tsongalis, Mark J Routbort, Nilsa C Ramirez, Lauren Saguilig, Jin Piao, Todd A Alonzo, Stacey L Berg, Elizabeth Fox, Brenda Weigel, Douglas S Hawkins, Jeffrey S Abrams, Margaret Mooney, Naoko Takebe, James V Tricoli, Katherine A Janeway, Nita L Seibel, D Williams Parsons

Faculty, Staff and Students Publications

Purpose: Precision oncology trials have generally focused on tumor testing to identify actionable alterations. The National Cancer Institute-Children's Oncology Group Pediatric MATCH trial incorporated return of germline results to assess feasibility of reporting in a cooperative group setting and characterize germline cancer predisposition in patients with refractory cancers.

Patients and methods: Tumor and blood DNA from patients 1-21 years of age with treatment-refractory solid tumors, non-Hodgkin lymphomas, or histiocytic disorders underwent cancer gene panel sequencing. Clinical germline reports returned to 151 study sites included pathogenic/likely pathogenic (P/LP) germline variants found in 38 cancer predisposition genes (CPGs). European Society of Medical …

Closing The Gaps, And Improving Somatic Structural Variant Analysis And Benchmarking Using Chm13-T2t, Luis F Paulin, Jeremy Fan, Kieran O'Neill, Erin Pleasance, Vanessa L Porter, Steven J M Jones, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The complexities of cancer genomes are becoming more easily interpreted due to advancements in sequencing technologies and improved bioinformatic analysis. Structural variants (SVs) represent an important subset of somatic events in tumors. While the detection of SVs has been markedly improved by the development of long-read sequencing, somatic variant identification and annotation remain challenging. We hypothesized that the use of a completed human reference genome (CHM13-T2T) would improve somatic SV calling. Our findings in a tumor-normal matched benchmark sample and three patient samples show that the CHM13-T2T improves SV detection accuracy compared to GRCh38 with a notable reduction in false-positive …

Unraveling The Hidden Complexity Of Cancer Through Long-Read Sequencing, Qiuhui Li, Ayse G Keskus, Justin Wagner, Michal B Izydorczyk, Winston Timp, Fritz J Sedlazeck, Alison P Klein, Justin M Zook, Mikhail Kolmogorov, Michael C Schatz

Faculty, Staff and Students Publications

Cancer is fundamentally a disease of the genome, characterized by extensive genomic, transcriptomic, and epigenomic alterations. Most current studies predominantly use short-read sequencing, gene panels, or microarrays to explore these alterations; however, these technologies can systematically miss or misrepresent certain types of alterations, especially structural variants, complex rearrangements, and alterations within repetitive regions. Long-read sequencing is rapidly emerging as a transformative technology for cancer research by providing a comprehensive view across the genome, transcriptome, and epigenome, including the ability to detect alterations that previous technologies have overlooked. In this Perspective, we explore the current applications of long-read sequencing for both …

Deciphering The Dark Cancer Phosphoproteome Using Machine-Learned Co-Regulation Of Phosphosites, Wen Jiang, Eric J Jaehnig, Yuxing Liao, Zhiao Shi, Tomer M Yaron-Barir, Jared L Johnson, Lewis C Cantley, Bing Zhang

Faculty, Staff and Students Publications

Mass spectrometry-based phosphoproteomics offers a comprehensive view of protein phosphorylation, yet our limited knowledge about the regulation and function of most phosphosites hampers the extraction of meaningful biological insights. To address this challenge, we integrate machine learning with phosphoproteomic data from 1195 tumor specimens spanning 11 cancer types to construct CoPheeMap, a network that maps the co-regulation of 26,280 phosphosites. By incorporating network features from CoPheeMap into a second machine learning model, namely CoPheeKSA, we achieve superior performance in predicting kinase-substrate associations. CoPheeKSA uncovers 24,015 associations between 9399 phosphosites and 104 serine/threonine kinases, shedding light on many unannotated phosphosites and …

Families’ Experiences Accessing Care After Genomic Sequencing In The Pediatric Cancer Context: “It’S Just Been A Big Juggle”, Blake Vuocolo, Amanda M Gutierrez, Jill O Robinson, Alva M Recinos, Lauren R Desrosiers, Mary A Majumder, Juan Carlos Bernini, Jonathan Gill, Timothy Griffin, Gail E Tomlinson, Kelly Vallance, Amy L Mcguire, D Williams Parsons, Sharon E Plon, Sarah Scollon

Faculty, Staff and Students Publications

Access to genomic sequencing (GS) and resulting recommendations have not been well described in pediatric oncology. GS results may provide a cancer predisposition syndrome (CPS) diagnosis that warrants screening and specialist visits beyond cancer treatment, including testing or surveillance for family members. The Texas KidsCanSeq (KCS) Study evaluated implementation of GS in a diverse pediatric oncology population. We conducted semi-structured interviews (n = 20) to explore experiences of KCS patients' families around learning about a CPS diagnosis and following up on recommended care. We used qualitative content analysis to develop themes and subthemes across families' descriptions of their experiences accessing …

Cancer Drug-Tolerant Persister Cells: From Biological Questions To Clinical Opportunities, Mariangela Russo, Mengnuo Chen, Elisa Mariella, Haoning Peng, Sumaiyah K Rehman, Elena Sancho, Alberto Sogari, Tzen S Toh, Nathalie Q Balaban, Eduard Batlle, Rene Bernards, Mathew J Garnett, Matthew Hangauer, Eleonora Leucci, Jean-Christophe Marine, Catherine A O'Brien, Yaara Oren, E Elizabeth Patton, Caroline Robert, Susan M Rosenberg, Shensi Shen, Alberto Bardelli

Faculty, Staff and Students Publications

The emergence of drug resistance is the most substantial challenge to the effectiveness of anticancer therapies. Orthogonal approaches have revealed that a subset of cells, known as drug-tolerant 'persister' (DTP) cells, have a prominent role in drug resistance. Although long recognized in bacterial populations which have acquired resistance to antibiotics, the presence of DTPs in various cancer types has come to light only in the past two decades, yet several aspects of their biology remain enigmatic. Here, we delve into the biological characteristics of DTPs and explore potential strategies for tracking and targeting them. Recent findings suggest that DTPs exhibit …

Phase Ii Study Of Samotolisib In Children And Young Adults With Tumors Harboring Phosphoinositide 3-Kinase/Mammalian Target Of Rapamycin Pathway Alterations: Pediatric Match Apec1621d, Theodore W Laetsch, Kathleen Ludwig, P Mickey Williams, Sinchita Roy-Chowdhuri, David R Patton, Brent Coffey, Joel M Reid, Jin Piao, Lauren Saguilig, Todd A Alonzo, Stacey L Berg, Joyce Mhlanga, Elizabeth Fox, Brenda J Weigel, Douglas S Hawkins, Margaret M Mooney, Naoko Takebe, James V Tricoli, Katherine A Janeway, Nita L Seibel, Donald Williams Parsons

Faculty, Staff and Students Publications

Purpose: Patients age 1-21 years with relapsed or refractory solid and CNS tumors were assigned to phase II studies of molecularly targeted therapies on the National Cancer Institute-Children's Oncology Group (NCI-COG) Pediatric Molecular Analysis for Therapy Choice (MATCH) trial. Patients whose tumors harbored predefined genetic alterations in the phosphoinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) pathway and lacked mitogen-activated protein kinase pathway activating alterations were treated with the PI3K/mTOR inhibitor samotolisib.

Methods: Patients received samotolisib twice daily in 28-day cycles until disease progression or unacceptable toxicity. A rolling 6 limited dose escalation was performed as, to our knowledge, this was …

Accelerated Somatic Mutation Calling For Whole-Genome And Whole-Exome Sequencing Data From Heterogenous Tumor Samples, Shuangxi Ji, Tong Zhu, Ankit Sethia, Wenyi Wang

Faculty, Staff and Student Publications

Accurate detection of somatic mutations in DNA sequencing data is a fundamental prerequisite for cancer research. Previous analytical challenges were overcome by consensus mutation calling from four to five popular callers. This, however, increases the already nontrivial computing time from individual callers. Here, we launch MuSE 2, powered by multistep parallelization and efficient memory allocation, to resolve the computing time bottleneck. MuSE 2 speeds up 50 times more than MuSE 1 and eight to 80 times more than other popular callers. Our benchmark study suggests combining MuSE 2 and the recently accelerated Strelka2 achieves high efficiency and accuracy in analyzing …

Germline Structural Variation Globally Impacts The Cancer Transcriptome Including Disease-Relevant Genes, Fengju Chen, Yiqun Zhang, Fritz J Sedlazeck, Chad J Creighton

Faculty, Staff and Students Publications

Germline variation and somatic alterations contribute to the molecular profile of cancers. We combine RNA with whole genome sequencing across 1,218 cancer patients to determine the extent germline structural variants (SVs) impact expression of nearby genes. For hundreds of genes, recurrent and common germline SV breakpoints within 100 kb associate with increased or decreased expression in tumors spanning various tissues of origin. A significant fraction of germline SV expression associations involves duplication of intergenic enhancers or 3' UTR disruption. Genes altered by both somatic and germline SVs include ATRX and CEBPA. Genes essential in cancer cell lines include BARD1 and …

Fusionnw, A Potential Clinical Impact Assessment Of Kinases In Pan-Cancer Fusion Gene Network, Chengyuan Yang, Himansu Kumar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes are the most active fusion gene group in human cancer fusion genes. To help choose the clinically significant kinase so that the cancer patients that have fusion genes can be better diagnosed, we need a metric to infer the assessment of kinases in pan-cancer fusion genes rather than relying on the sample frequency expressed fusion genes. Most of all, multiple studies assessed human kinases as the drug targets using multiple types of genomic and clinical information, but none used the kinase fusion genes in their study. The assessment studies of kinase without kinase fusion gene events can …

Oral Delivery Of Rnai For Cancer Therapy, Humayra Afrin, Renu Geetha Bai, Raj Kumar, Sheikh Shafin Ahmad, Sandeep K Agarwal, Md Nurunnabi

Faculty, Staff and Students Publications

Cancer is a major health concern worldwide and is still in a continuous surge of seeking for effective treatments. Since the discovery of RNAi and their mechanism of action, it has shown promises in targeted therapy for various diseases including cancer. The ability of RNAi to selectively silence the carcinogenic gene makes them ideal as cancer therapeutics. Oral delivery is the ideal route of administration of drug administration because of its patients' compliance and convenience. However, orally administered RNAi, for instance, siRNA, must cross various extracellular and intracellular biological barriers before it reaches the site of action. It is very …

Substrate-Specific Effect On Sirtuin Conformation And Oligomerization, Jie Yang, Shannon L. Dwyer, Nathan I. Nicely, Brian P. Weiser

Rowan-Virtua Research Day

Human sirtuins are a family of nicotinamide adenine dinucleotide (NAD +)-dependent enzymes that are responsible for removing acyl modifications from lysine residues. Sirtuins are involved in the formation and proliferation of cancers and are thought to regulate the progression of neurodegenerative diseases. Although sirtuins can be pharmacologically targeted by small molecules, it is not easy to modulate the substrate selectivity of sirtuins despite the chemical diversity of their substrates. Here, we report substrate-specific effects on sirtuin conformation and oligomerization that regulate enzyme deacylase activity. We used fluorescent acyl peptide probes to study substrate interactions with two sirtuin isoforms: SIRT2 and …

Tumor Somatic Mutations Also Existing As Germline Polymorphisms May Help To Identify Functional Snps From Genome-Wide Association Studies, Ivan P Gorlov, Xiangjun Xia, Spiridon Tsavachidis, Olga Y Gorlova, Christopher I Amos

Faculty, Staff and Students Publications

We hypothesized that a joint analysis of cancer risk-associated single-nucleotide polymorphism (SNP) and somatic mutations in tumor samples can predict functional and potentially causal SNPs from GWASs. We used mutations reported in the Catalog of Somatic Mutations in Cancer (COSMIC). Confirmed somatic mutations were subdivided into two groups: (1) mutations reported as SNPs, which we call mutational/SNPs and (2) somatic mutations that are not reported as SNPs, which we call mutational/noSNPs. It is generally accepted that the number of times a somatic mutation is reported in COSMIC correlates with its selective advantage to tumors, with more frequently reported mutations being …