Publications by authors named "Andrew B Nixon"

Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.

Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes.

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As multiple front-line immune checkpoint inhibitor (ICI)-based combinations are approved for metastatic renal cell carcinoma, biomarkers predicting for ICI responses are needed past clinical prognostication scores and transcriptome gene expression profiling. Circulating markers represent opportunities to assess baseline and dynamic changes in immune cell frequency and cytokine levels while on treatment. We conducted an exploratory prospective correlative study of 33 patients with metastatic clear cell renal cell carcinoma undergoing treatment with ICIs and correlated changes in circulating immune cell subsets and cytokines with clinical responses to treatment.

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To explore whether ultra-sensitive circulating tumor DNA (ctDNA) profiling enables early prediction of treatment response and early detection of disease progression, we applied NeXT Personal, an ultra-sensitive bespoke tumor-informed liquid biopsy platform, to profile tumor samples from the KeyLargo study, a phase II trial in which metastatic esophagogastric cancer (mEGC) patients received capecitabine, oxaliplatin, and pembrolizumab. All 25 patients evaluated were ctDNA-positive at baseline. Minimal residual disease (MRD) events varied from 406,067 down to 1.

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GT103 is a first-in-class, fully human, IgG3 monoclonal antibody targeting complement factor H that kills tumor cells and promotes anti-cancer immunity in preclinical models. We conducted a first-in-human phase 1b study dose escalation trial of GT103 in refractory non-small cell lung cancer to assess the safety of GT103 (NCT04314089). Dose escalation was performed using a "3 + 3" schema with primary objectives of determining safety, tolerability, PK profile and maximum tolerated dose (MTD) of GT103.

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Article Synopsis
  • Single-cell studies often face challenges from various sources of heterogeneity that can obscure the identification of specific cell subpopulations and their characteristics.
  • The paper introduces B-Lightning, a new method that effectively distinguishes relevant marker genes and cell subpopulations related to specific sources of heterogeneity (like activation status) while minimizing interference from other factors (like cell type or cycle phase).
  • B-Lightning has been shown through various studies to be more sensitive and robust than existing methods, successfully identifying new biological markers in conditions like pulmonary fibrosis and SARS-COV-2 infections, emphasizing its utility in analyzing complex single-cell data.
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Background: Biomarker analyses are an integral part of cancer research. Despite the intense efforts to identify and characterize biomarkers in patients with cancer, little is known regarding the natural variation of biomarkers in healthy populations. Here we conducted a clinical study to evaluate the natural variability of biomarkers over time in healthy participants.

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Gastroesophageal (GE) and pancreatobiliary (PB) cancers represent a significant clinical challenge. In this context, it is critical to understand the key molecular targets within these malignancies including how they are assayed for as well as the clinical actionability of these targets. Integrating biomarkers into the standard of care presents a critical avenue for refining treatment paradigms.

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Background: Herein, we report results from a genome-wide study conducted to identify protein quantitative trait loci (pQTL) for circulating angiogenic and inflammatory protein markers in patients with metastatic colorectal cancer (mCRC). The study was conducted using genotype, protein marker, and baseline clinical and demographic data from CALGB/SWOG 80405 (Alliance), a randomized phase III study designed to assess outcomes of adding VEGF or EGFR inhibitors to systemic chemotherapy in mCRC patients. Germline DNA derived from blood was genotyped on whole-genome array platforms.

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Unlabelled: Sorafenib blocks nonstructural protein 5A (NS5A)-recruited c-Raf-mediated hepatitis C virus (HCV) replication and gene expression. Release of Raf-1-Ask-1 dimer and inhibition of Raf-1 via sorafenib putatively differ in the presence or absence of doxorubicin. Cancer and Leukemia Group B (CALGB) 80802 (Alliance) randomized phase III trial of doxorubicin plus sorafenib versus sorafenib in patients with advanced hepatocellular carcinoma (HCC), showed no improvement in median overall survival (OS).

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In pathologies including cancer, aberrant Transforming Growth Factor-β (TGF-β) signaling exerts profound tumor intrinsic and extrinsic consequences. Intense clinical endeavors are underway to target this pathway. Central to the success of these interventions is pinpointing factors that decisively modulate the TGF-β responses.

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Background: CALGB 90401 (Alliance) was a phase III trial of 1050 patients with metastatic castration-resistant prostate cancer (mCRPC) comparing docetaxel, prednisone, bevacizumab (DP+B) versus DP alone. While this trial did not show an improvement in overall survival (OS), there were improved intermediate outcomes suggesting that subsets of men may derive benefit from this combination. The purpose of this analysis was to identify prognostic and predictive biomarkers associated with OS and progression-free survival (PFS) benefit from DP+B.

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Article Synopsis
  • This study focused on identifying gene interconnectivity, specifically in metastatic colorectal cancer (CRC), to improve patient treatment by linking gene networks to overall survival (OS) outcomes.
  • Researchers analyzed data from 1,165 patients in a clinical trial comparing treatments with cetuximab and bevacizumab, discovering gene signatures that predict patient survival based on specific treatments.
  • The identified gene signatures not only showed downregulation in CRC tumors compared to normal tissue but also highlighted proteins that interact functionally, indicating their potential as novel biomarkers for personalized cancer treatment.
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Article Synopsis
  • This study identified protein quantitative trait loci (pQTL) related to angiogenic and inflammatory proteins in patients with metastatic colorectal cancer (mCRC) using genetic and protein data from a large clinical trial.
  • The analysis revealed a new pQTL associated with TGF-2 protein levels, validated in additional cancer patient datasets, and confirmed previously reported associations with VEGF-A and other protein markers.
  • The findings enhance our understanding of how genetic variants influence protein levels in mCRC, potentially guiding future cancer treatments and research.
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Article Synopsis
  • Accurately identifying senescent cells is crucial for understanding their characteristics, which is achieved through a new method called DeepScence.
  • DeepScence uses deep neural networks and a curated set of senescence-associated genes (CoreScence) to analyze single-cell and spatial transcriptomics data.
  • The method effectively identifies senescent cells in various gene expression datasets, showing superior performance compared to existing identification techniques.
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In pathologies such as cancer, aberrant Transforming Growth Factor-β (TGF-β) signaling exerts profound tumor intrinsic and extrinsic consequences. Intense clinical endeavors are underway to target this pivotal pathway. Central to the success of these interventions is pinpointing factors that decisively modulate the TGF-β responses.

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Background: Glioblastoma (GBM), the most lethal primary brain tumor, has limited treatment options upon recurrence after chemoradiation and bevacizumab. TRC105 (carotuximab), a chimeric anti-endoglin (CD105) antibody, inhibits angiogenesis and potentiates activity of VEGF inhibitor bevacizumab in preclinical models. This study sought to assess safety, pharmacokinetics, and efficacy of TRC105 for bevacizumab-refractory GBM.

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Importance: The association of chronic inflammation with colorectal cancer recurrence and death is not well understood, and data from large well-designed prospective cohorts are limited.

Objective: To assess the associations of inflammatory biomarkers with survival among patients with stage III colon cancer.

Design, Setting, And Participants: This cohort study was derived from a National Cancer Institute-sponsored adjuvant chemotherapy trial Cancer and Leukemia Group B/Southwest Oncology Group 80702 (CALGB/SWOG 80702) conducted between June 22, 2010, and November 20, 2015, with follow-up ending on August 10, 2020.

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Background: Pleural cytology is currently used to assess targetable mutations in patients with advanced lung adenocarcinoma. However, it is fraught with low diagnostic yield.

Research Question: Can pleural cell-free DNA (cfDNA) be used to assess targetable mutations in lung adenocarcinoma patients with malignant pleural effusions (MPE)?

Study Design And Methods: Patients with lung adenocarcinoma MPE were recruited prospectively between January 2017 and September 2021.

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Background: We sought to determine whether circulating modifiers of endothelial function are associated with cardiac structure and clinical outcomes in patients with heart failure with reduced ejection fraction (HFrEF).

Methods: We measured 25 proteins related to endothelial function in 99 patients from the GUIDE-IT study. Protein levels were evaluated for association with echocardiographic parameters and the incidence of all-cause death and hospitalization for heart failure (HHF).

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Growth factors in tumor environments are regulators of cell survival and metastasis. Here, we reveal the dichotomy between TGF-β superfamily growth factors BMP and TGF-β/activin and their downstream SMAD effectors. Gene expression profiling uncovers SOX2 as a key contextual signaling node regulated in an opposing manner by BMP2, -4, and -9 and TGF-β and activin A to impact anchorage-independent cell survival.

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Introduction: Most patients with advanced NSCLC will experience disease progression and death within 2 years. Novel approaches are needed to improve outcomes.

Methods: We conducted an open-label, nonrandomized, phase 2 trial in patients with treatment-naive, advanced NSCLC to assess the safety and efficacy of nivolumab 360 mg every 3 weeks, ipilimumab 1 mg/kg every 6 weeks, and four to six cycles of paclitaxel 80 mg/m on days 1 and 8 of every 21-day treatment.

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Although hematopoietic stem cell transplantation (HCT) is the only curative treatment for acute myeloid leukemia (AML), it is associated with significant treatment related morbidity and mortality. There is great need for predictive biomarkers associated with overall survival (OS) and clinical outcomes. We hypothesized that circulating metabolic, inflammatory, and immune molecules have potential as predictive biomarkers for AML patients who receive HCT treatment.

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Hypoxia, a driver of tumor growth and metastasis, regulates angiogenic pathways that are targets for vessel normalization and ovarian cancer management. However, toxicities and resistance to anti-angiogenics can limit their use making identification of new targets vital. Inhibin, a heteromeric TGFβ ligand, is a contextual regulator of tumor progression acting as an early tumor suppressor, yet also an established biomarker for ovarian cancers.

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Both transcriptomics and metabolomics hold promise for identifying acute coronary syndrome (ACS) but they have not been used in combination, nor have dynamic changes in levels been assessed as a diagnostic tool. We assessed integrated analysis of peripheral blood miRNA and metabolite analytes to distinguish patients with myocardial ischemia on cardiac stress testing. We isolated and quantified miRNA and metabolites before and after stress testing from seven patients with myocardial ischemia and 1:1 matched controls.

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Aims: Hypertension is a common toxicity induced by vascular endothelial growth factor (VEGF) pathway inhibitors. There are no validated markers of hypertension induced by these drugs.

Methods: We previously discovered that cancer patients with lower plasma levels of angiopoietin-2, VCAM-1 and VEGF-A are at high risk of developing severe hypertension when treated with bevacizumab.

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