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Full-Text Articles in Life Sciences

Population Screening For High-Risk Patient Identification Partnership With Care-Comprehensive Assessment, Risk, And Education., Ora K Gordon, Brad Bott, Nanor Parseghian, Kimberly K Childers, Sandra Brown Jan 2024

Population Screening For High-Risk Patient Identification Partnership With Care-Comprehensive Assessment, Risk, And Education., Ora K Gordon, Brad Bott, Nanor Parseghian, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.


Multi-Cancer Early Detection Testing (Mced), Ora K Gordon, Brad Bott, Nanor Parseghian, Paul Psychogios, Kimberly K Childers, Sandra Brown Jan 2024

Multi-Cancer Early Detection Testing (Mced), Ora K Gordon, Brad Bott, Nanor Parseghian, Paul Psychogios, Kimberly K Childers, Sandra Brown

Articles, Abstracts, and Reports

No abstract provided.


Factors Impacting Genomic Testing Rates Among Epithelial Ovarian Cancer Patients Across A Large Community-Based Healthcare System, Nicole M. Kretzer, Christopher J. Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher, Fernanda B. Musa Jan 2022

Factors Impacting Genomic Testing Rates Among Epithelial Ovarian Cancer Patients Across A Large Community-Based Healthcare System, Nicole M. Kretzer, Christopher J. Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher, Fernanda B. Musa

All Podium Presentations

Background: Epithelial ovarian cancer (EOC) accounts for the highest mortality of all gynecological cancers. NCCN guidelines recommend germline and somatic testing for all women with invasive EOC. Despite this recommendation, there is a large diversity in the types of testing patients receive even within a single healthcare system. Reported data of genetic testing for epithelial ovarian cancer (EOC) patients is largely based on patients treated at academic medical centers or patients who participate in clinical trials.

Purpose: This study sought to determine the rates of germline and somatic testing for epithelial ovarian cancer patients and identify factors that impact testing …


Patterns Of Genomic Testing For Epithelial Ovarian Cancer Across A Large Community-Based Health Care Network- A Real World Experience, Nicole M. Kretzer, Fernanda B. Musa, Christopher Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher Jan 2022

Patterns Of Genomic Testing For Epithelial Ovarian Cancer Across A Large Community-Based Health Care Network- A Real World Experience, Nicole M. Kretzer, Fernanda B. Musa, Christopher Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher

All Podium Presentations

Background: NCCN guidelines recommend germline and somatic tumor testing for all women with invasive epithelial ovarian cancer (EOC). Despite this recommendation, testing rates remain low and an optimal strategy to achieve the recommended testing has not been defined.

Purpose: We elected to review the patterns of germline and somatic tumor testing for patients with EOC across a large health care network to identify barriers to testing.

Methods: Clinical, pathologic, demographic and genomic testing (GT) information including involvement of a genetic counselor, specific test(s) ordered, test vendor, test turn-around time, and test results were obtained from the diverse dataset within the …


Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra Jun 2021

Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra

Dissertations & Theses (Open Access)

Intratumor heterogeneity (ITH) is a crucial challenge in cancer treatment. The genotypic and phenotypic heterogeneity underlying diverse cancer types leads to subclonal variation, which may result in mixed or failed response to therapy. The heterogeneity at the tumor level, along with the tumor microenvironment (TME), often shapes tumor evolution and ultimately clinical outcome. Given that modern treatment paradigms increasingly expose patients with metastatic disease to multiple treatment modalities through the course of their disease, there exists a need to characterize robust and predictive biomarkers of response to therapy. In order to accurately characterize tumor evolution, we need to account for …


Neoadjuvant Anti-Ox40 (Medi6469) Therapy In Patients With Head And Neck Squamous Cell Carcinoma Activates And Expands Antigen-Specific Tumor-Infiltrating T Cells., Rebekka Duhen, Carmen Ballesteros-Merino, Alexandra K Frye, Eric Tran, Venkatesh Rajamanickam, Shu-Ching Chang, Yoshinobu Koguchi, Carlo Bifulco, Brady Bernard, Rom Leidner, Brendan Curti, Bernard A Fox, Walter Urba, Richard Bryan Bell, Andrew D Weinberg Feb 2021

Neoadjuvant Anti-Ox40 (Medi6469) Therapy In Patients With Head And Neck Squamous Cell Carcinoma Activates And Expands Antigen-Specific Tumor-Infiltrating T Cells., Rebekka Duhen, Carmen Ballesteros-Merino, Alexandra K Frye, Eric Tran, Venkatesh Rajamanickam, Shu-Ching Chang, Yoshinobu Koguchi, Carlo Bifulco, Brady Bernard, Rom Leidner, Brendan Curti, Bernard A Fox, Walter Urba, Richard Bryan Bell, Andrew D Weinberg

Articles, Abstracts, and Reports

Despite the success of checkpoint blockade in some cancer patients, there is an unmet need to improve outcomes. Targeting alternative pathways, such as costimulatory molecules (e.g. OX40, GITR, and 4-1BB), can enhance T cell immunity in tumor-bearing hosts. Here we describe the results from a phase Ib clinical trial (NCT02274155) in which 17 patients with locally advanced head and neck squamous cell carcinoma (HNSCC) received a murine anti-human OX40 agonist antibody (MEDI6469) prior to definitive surgical resection. The primary endpoint was to determine safety and feasibility of the anti-OX40 neoadjuvant treatment. The secondary objective was to assess the effect of …


Prognostic Gene Expression Signatures Of Breast Cancer Are Lacking A Sensible Biological Meaning., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Galina Glazko, Frank Emmert-Streib Jan 2021

Prognostic Gene Expression Signatures Of Breast Cancer Are Lacking A Sensible Biological Meaning., Kalifa Manjang, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer, Galina Glazko, Frank Emmert-Streib

Articles, Abstracts, and Reports

The identification of prognostic biomarkers for predicting cancer progression is an important problem for two reasons. First, such biomarkers find practical application in a clinical context for the treatment of patients. Second, interrogation of the biomarkers themselves is assumed to lead to novel insights of disease mechanisms and the underlying molecular processes that cause the pathological behavior. For breast cancer, many signatures based on gene expression values have been reported to be associated with overall survival. Consequently, such signatures have been used for suggesting biological explanations of breast cancer and drug mechanisms. In this paper, we demonstrate for a large …


Integrated Genetic And Metabolic Landscapes Predict Vulnerabilities Of Temozolomide Resistant Glioblastoma Cells., Selva Rupa Christinal Immanuel, Avinash D Ghanate, Dharmeshkumar S Parmar, Ritu Yadav, Riya Uthup, Venkateswarlu Panchagnula, Anu Raghunathan Jan 2021

Integrated Genetic And Metabolic Landscapes Predict Vulnerabilities Of Temozolomide Resistant Glioblastoma Cells., Selva Rupa Christinal Immanuel, Avinash D Ghanate, Dharmeshkumar S Parmar, Ritu Yadav, Riya Uthup, Venkateswarlu Panchagnula, Anu Raghunathan

Articles, Abstracts, and Reports

Metabolic reprogramming and its molecular underpinnings are critical to unravel the duality of cancer cell function and chemo-resistance. Here, we use a constraints-based integrated approach to delineate the interplay between metabolism and epigenetics, hardwired in the genome, to shape temozolomide (TMZ) resistance. Differential metabolism was identified in response to TMZ at varying concentrations in both the resistant neurospheroidal (NSP) and the susceptible (U87MG) glioblastoma cell-lines. The genetic basis of this metabolic adaptation was characterized by whole exome sequencing that identified mutations in signaling pathway regulators of growth and energy metabolism. Remarkably, our integrated approach identified rewiring in glycolysis, TCA cycle, …


A Pilot Study Comparing The Efficacy Of Lactate Dehydrogenase Levels Versus Circulating Cell-Free Micrornas In Monitoring Responses To Checkpoint Inhibitor Immunotherapy In Metastatic Melanoma Patients., Matias A Bustos, Rebecca Gross, Negin Rahimzadeh, Hunter Cole, Linh T Tran, Kevin Tran, Ling Takeshima, Stacey L Stern, Steven O'Day, Dave Hoon Nov 2020

A Pilot Study Comparing The Efficacy Of Lactate Dehydrogenase Levels Versus Circulating Cell-Free Micrornas In Monitoring Responses To Checkpoint Inhibitor Immunotherapy In Metastatic Melanoma Patients., Matias A Bustos, Rebecca Gross, Negin Rahimzadeh, Hunter Cole, Linh T Tran, Kevin Tran, Ling Takeshima, Stacey L Stern, Steven O'Day, Dave Hoon

Articles, Abstracts, and Reports

Serum lactate dehydrogenase (LDH) is a standard prognostic biomarker for stage IV melanoma patients. Often, LDH levels do not provide real-time information about the metastatic melanoma patients' disease status and treatment response. Therefore, there is a need to find reliable blood biomarkers for improved monitoring of metastatic melanoma patients who are undergoing checkpoint inhibitor immunotherapy (CII). The objective in this prospective pilot study was to discover circulating cell-free microRNA (cfmiR) signatures in the plasma that could assess melanoma patients' responses during CII. The cfmiRs were evaluated by the next-generation sequencing (NGS) HTG EdgeSeq microRNA (miR) Whole Transcriptome Assay (WTA; 2083 …


Inter-Tumor Heterogeneity-Melanomas Respond Differently To Gm-Csf-Mediated Activation., Adi Moshe, Sivan Izraely, Orit Sagi-Assif, Sapir Malka, Shlomit Ben-Menachem, Tsipi Meshel, Metsada Pasmanik-Chor, Dave Hoon, Isaac P Witz Jul 2020

Inter-Tumor Heterogeneity-Melanomas Respond Differently To Gm-Csf-Mediated Activation., Adi Moshe, Sivan Izraely, Orit Sagi-Assif, Sapir Malka, Shlomit Ben-Menachem, Tsipi Meshel, Metsada Pasmanik-Chor, Dave Hoon, Isaac P Witz

Articles, Abstracts, and Reports

Granulocyte-monocyte colony stimulating factor (GM-CSF) is used as an adjuvant in various clinical and preclinical studies with contradictory results. These were attributed to opposing effects of GM-CSF on the immune or myeloid systems of the treated patients or to lack of optimal dosing regimens. The results of the present study point to inter-tumor heterogeneity as a possible mechanism accounting for the contrasting responses to GM-CSF incorporating therapies. Employing xenograft models of human melanomas in nude mice developed in our lab, we detected differential functional responses of melanomas from different patients to GM-CSF both in vitro as well as in vivo. …


The Relationship Between Uncertainty Tolerance And Oncologists’ Perceptions Of Large-Panel Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Christine Lary, Kimberly Murray, Leo Waterson, Paul Han, Maine Cancer Genomics Initiative May 2019

The Relationship Between Uncertainty Tolerance And Oncologists’ Perceptions Of Large-Panel Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Christine Lary, Kimberly Murray, Leo Waterson, Paul Han, Maine Cancer Genomics Initiative

Maine Medical Center

Introduction:

Large-panel genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise, but that currently poses many uncertainties regarding its clinical value and appropriate use. Uncertainty Tolerance (UT), a psychological construct that describes trait-level differences in individuals’ responses to uncertainty, may influence oncologists’ perceptions and attitudes regarding GTT.


Community Oncology Clinicians’ Knowledge, Beliefs, And Attitudes Regarding Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Kimberly Murray, Hayley Mandeville, Caitlin Gutheil, Leo Waterston, Lee Lucas, Christine Duarte, Christian Thomas, Susan Miesfeldt, Petra Helbig, Andrey Antov, Jens Rueter, Paul Han May 2019

Community Oncology Clinicians’ Knowledge, Beliefs, And Attitudes Regarding Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Kimberly Murray, Hayley Mandeville, Caitlin Gutheil, Leo Waterston, Lee Lucas, Christine Duarte, Christian Thomas, Susan Miesfeldt, Petra Helbig, Andrey Antov, Jens Rueter, Paul Han

Maine Medical Center

Introduction: Genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise. However, little is known about clinicians’ knowledge, beliefs, and attitudes regarding GTT, particularly in community oncology settings.


Shared Heritability And Functional Enrichment Across Six Solid Cancers, Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, Melinda C. Aldrich, Angeline S. Andrew, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Natalia N. Antonenkova, Susanne M. Arnold, Kristan J. Aronson, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Jyotsna Batra, Matthias W. Beckmann, Javier Benitez Jan 2019

Shared Heritability And Functional Enrichment Across Six Solid Cancers, Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, Melinda C. Aldrich, Angeline S. Andrew, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Natalia N. Antonenkova, Susanne M. Arnold, Kristan J. Aronson, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Jyotsna Batra, Matthias W. Beckmann, Javier Benitez

Markey Cancer Center Faculty Publications

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10−8), breast and ovarian cancer (rg = 0.24, p = 7 × 10−5 …


A Tail Of Two Pancancer Projects: Somatic Variant Identification And Driver Gene Discovery Using Tcga, Matthew Hawkins Bailey Dec 2018

A Tail Of Two Pancancer Projects: Somatic Variant Identification And Driver Gene Discovery Using Tcga, Matthew Hawkins Bailey

Arts & Sciences Electronic Theses and Dissertations

The implementation of next-generation genomic sequencing has exploded over the past dozen years. Large consortia, such as The Cancer Genome Atlas (TCGA); the International Cancer Genetics Consortium (ICGC); and the Pediatric Cancer Genome Projects (PCGP), made great strides in democratizing big data for the scientific community. These data sets provide a rich resource to build tools for somatic variant discovery and exploratory analysis. Public repositories hold the answer to many novel biological and clinical revelations i.e., the discovery of complex indels, splice creating mutations, alternative super enhancer binding sites, machine learning models to predict mutation impact, and cancer subtype classification …


Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar May 2018

Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar

Arts & Sciences Electronic Theses and Dissertations

Paired tumor-normal sequencing of thousands of patient’s exomes has revealed millions of somatic mutations, but functional characterization and clinical decision making are stymied because biologically neutral ‘passenger’ mutations greatly outnumber pathogenic ‘driver’ mutations. Since most mutations will return negative results if tested, conventional resource-intensive experiments are reserved for mutations which are observed in multiple patients or rarer mutations found in well-established cancer genes. Most mutations are therefore never tested, diminishing the potential to discover new mechanisms of cancer development and treatment opportunities. Computational methods that reliably prioritize mutations for testing would greatly increase the translation of sequencing results to clinical …


Comprehensive Genomic Profiling In Routine Clinical Practice Leads To A Low Rate Of Benefit From Genotype-Directed Therapy, Talal Hilal, Mary Nakazawa, Jacob Hodskins, John L. Villano, Aju Mathew, Gaurav Goel, Lars M. Wagner, Susanne M. Arnold, Philip Desimone, Lowell B. Anthony, Peter J. Hosein Aug 2017

Comprehensive Genomic Profiling In Routine Clinical Practice Leads To A Low Rate Of Benefit From Genotype-Directed Therapy, Talal Hilal, Mary Nakazawa, Jacob Hodskins, John L. Villano, Aju Mathew, Gaurav Goel, Lars M. Wagner, Susanne M. Arnold, Philip Desimone, Lowell B. Anthony, Peter J. Hosein

Markey Cancer Center Faculty Publications

Background: Describe a single-center real-world experience with comprehensive genomic profiling (CGP) to identify genotype directed therapy (GDT) options for patients with malignancies refractory to standard treatment options.

Methods: Patients who had CGP by a CLIA-certified laboratory between November 2012 and December 2015 were included. The medical records were analyzed retrospectively after Institutional Review Board (IRB) approval. The treating oncologist made the decision to obtain the assay to provide potential therapeutic options. The objectives of this study were to determine the proportion of patients who benefited from GDT, and to identify barriers to receiving GDT.

Results: A total of 125 pediatric …


Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild Apr 2017

Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild

Pharmacy Faculty Articles and Research

Background
The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns.

Methods
Novel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD). The pathway analysis toolkit Adaptive Signature Selection …


Bayesian Joint Selection Of Genes And Pathways: Applications In Multiple Myeloma Genomics, Lin Zhang, Jeffrey S. Morris, Jiexin Zhang, Robert Orlowski, Veerabhadran Baladandayuthapani Jan 2014

Bayesian Joint Selection Of Genes And Pathways: Applications In Multiple Myeloma Genomics, Lin Zhang, Jeffrey S. Morris, Jiexin Zhang, Robert Orlowski, Veerabhadran Baladandayuthapani

Jeffrey S. Morris

It is well-established that the development of a disease, especially cancer, is a complex process that results from the joint effects of multiple genes involved in various molecular signaling pathways. In this article, we propose methods to discover genes and molecular pathways significantly associ- ated with clinical outcomes in cancer samples. We exploit the natural hierarchal structure of genes related to a given pathway as a group of interacting genes to conduct selection of both pathways and genes. We posit the problem in a hierarchical structured variable selection (HSVS) framework to analyze the corresponding gene expression data. HSVS methods conduct …