Laura A. Evans

Lactate metabolism in clonal plasma cells and its therapeutic implications in multiple myeloma patients with elevated serum LDH levels

Yogesh Chawla, Emilie I. Anderson, Matthew Smith, Sonia Jain et autres

INTRODUCTION: This study aimed to evaluate the metabolic differences between MM cells derived from patients with elevated serum LDH levels and those without elevated serum LDH levels to identify biological differences that could be exploited for therapeutic purposes. METHODS: We performed transcriptome …

us (code pays fourni par la source)

The Detection of Date Shifting in Real-World Data

Laura A. Evans, Jack London, Matvey B. Palchuk

OBJECTIVES: Analysis of health care real-world data (RWD) provides an opportunity to observe the actual patient diagnostic, treatment, and outcome events. However, researchers should understand the possible limitations of RWD. In particular, the dates in these data may be shifted from their …

us (code pays fourni par la source)

Overexpression of the energy metabolism transcriptome within clonal plasma cells is associated with the pathogenesis and outcomes of patients with multiple myeloma

Laura A. Evans, Emilie A. Anderson, Erik Jessen, Bharat Nandakumar et autres

Altered energy metabolism and changes in glycolytic and oxidative phosphorylation pathways are hallmarks of all cancer cells. The expression of select genes associated with the production of various enzymes and proteins involved in glycolysis and oxidative phosphorylation were assessed in the clonal …

us (code pays fourni par la source)

Disrupting the Reverse Warburg Effect As a Therapeutic Strategy in Multiple Myeloma

Laura A. Evans, Emilie I. Anderson, Xuan-Mai Petterson, Shaji Kumar et autres

Abstract Introduction: Altered cellular metabolism is a hallmark of every cancer cell. Aerobic glycolysis ("The Warburg Effect") is one of the earliest recognized metabolic abnormalities in cancer cells whereby extracellular glucose is preferentially metabolized and eventually processed to generate lactate and energy …

us (code pays fourni par la source)

The Impact of the Central Carbon Energy Metabolism Transcriptome in the Pathogenesis and Outcomes of Multiple Myeloma

Laura A. Evans, Shaji Kumar, Erik Jessen, Angela Dispenzieri et autres

Abstract Introduction: Multiple gene expression profile assays have successfully prognosticated the overall survival (OS) outcomes of patients with Newly Diagnosed Multiple Myeloma (NDMM) and are now available for use in clinical practice. The genes included in these profiles encompass several aspects of …

us (code pays fourni par la source)

MM-315: Impact of Stratification of Levels of Serum Lactate Dehydrogenase (LDH) at Diagnosis on Overall Survival (OS) in Newly Diagnosed Multiple Myeloma (NDMM)

Laura A. Evans, Shaji Kumar, Angela Dispenzieri, Francis K. Buadi et autres

us (code pays fourni par la source)

Poster: MM-315: Impact of Stratification of Levels of Serum Lactate Dehydrogenase (LDH) at Diagnosis on Overall Survival (OS) in Newly Diagnosed Multiple Myeloma (NDMM)

Laura A. Evans, Shaji Kumar, Angela Dispenzieri, Francis K. Buadi et autres

us (code pays fourni par la source)

Impact of stratifying levels of serum lactate dehydrogenase (LDH) at diagnosis on the overall survival (OS) in newly diagnosed multiple myeloma (NDMM).

Laura A. Evans, Shaji Kumar, David Dingli, Angela Dispenzieri et autres

e20016 Background: An elevated serum LDH level is an adverse prognostic factor in NDMM. However, this category includes quantitative serum LDH levels that range from just over the upper limit of normal (ULN) to levels that may be 2 or more-fold higher …

us (code pays fourni par la source)

The Impact of Socioeconomic Risk Factors on the Survival Outcomes of Patients With Newly Diagnosed Multiple Myeloma: A Cross-analysis of a Population-based Registry and a Tertiary Care Center

Laura A. Evans, Ronald S. Go, Rahma Warsame, Bharat Nandakumar et autres

us (code pays fourni par la source)

Development of a pancreatic cancer prediction model using a multinational medical records database.

Limor Appelbaum, Alexandra Berg, José Cambronero, Thurston H. Y. Dang et autres

394 Background: Previous work by our group has demonstrated that leveraging Machine Learning on diagnostic codes from Electronic Health Records (EHRs), can identify individuals at high-risk for Pancreatic Duct Adenocarcinoma (PDAC), as early as 1 year before current cancer diagnosis. We aim …

us (code pays fourni par la source)

In vivo assessment of glutamine anaplerosis into the TCA cycle in human pre-malignant and malignant clonal plasma cells

Wilson I. Gonsalves, Jin Sung Jang, Erik Jessen, Taro Hitosugi et autres

BACKGROUND: Overexpression of c-Myc is required for the progression of pre-malignant plasma cells in monoclonal gammopathy of undetermined significance (MGUS) to malignant plasma cells in multiple myeloma (MM). c-Myc also increases glutamine anaplerosis into the tricarboxylic acid (TCA) cycle within cancer cells. …

us (code pays fourni par la source)

Utilizing multiparametric flow cytometry in the diagnosis of patients with primary plasma cell leukemia

Laura A. Evans, Dragan Jevremović, Bharat Nandakumar, Angela Dispenzieri et autres

The diagnosis of primary plasma cell leukemia (pPCL) has been made by quantifying circulating plasma cells (cPCs) morphologically on a peripheral blood (PB) smear. However, this technique is not sufficiently sensitive. Multiparametric flow cytometry (MFC) provides a readily available and highly sensitive …

us (code pays fourni par la source)