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Profil bibliographique

Feiyu Du

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

22Publications signalées
12104Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Acute Myeloid Leukemia ResearchCancer Genomics and DiagnosticsGenomics and Phylogenetic StudiesChromosomal and Genetic VariationsMonoclonal and Polyclonal Antibodies Research

Les publications récentes

2026 article OpenAlex

Consolidation Therapy Based on Mutation Clearance in Acute Myeloid Leukemia

Meagan A. Jacoby, David H. Spencer, Feng Gao, Geoffrey L. Uy et autres

BACKGROUND: Optimal consolidation therapy for patients with intermediate-risk acute myeloid leukemia (AML) in first complete remission (CR1) is controversial. Retrospective studies have suggested that the clearance of leukemia-associated mutations (LAMs) in CR1 may predict lower relapse risk and better outcomes with high-dose …

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1 citation NEJM Evidence
Accès ouvert 2026 preprint OpenAlex

Automating neoantigen selection for personalized cancer vaccine design

Jennie X Yao, Kartik Singhal, Susanna Kiwala, Evelyn Schmidt et autres

Advancements in immunogenomics and immuno-oncology have enabled the development of personalized cancer vaccines (PCVs) that target cancer cell-specific somatic variants. A subset of these variants produce neoantigens that, when presented on tumor cells by MHC molecules, have the potential to elicit a …

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0 citations medRxiv
Accès ouvert 2025 preprint OpenAlex

ImmunoNX: a robust bioinformatics workflow to support personalized neoantigen vaccine trials.

Kartik Singhal, E. E. Schmidt, Susanna Kiwala, S. Peter Goedegebuure et autres

Personalized neoantigen vaccines represent a promising immunotherapy approach that harnesses tumor-specific antigens to stimulate anti-tumor immune responses. However, the design of these vaccines requires sophisticated computational workflows to predict and prioritize neoantigen candidates from patient sequencing data, coupled with rigorous review to …

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0 citations PubMed
Accès ouvert 2025 conference-abstract OpenAlex

Increased yield of recurrent structural variants (SVs) in Ph-like B-cell acute lymphoblastic leukemia (B-ALL) using a streamlined clinical whole-genome sequencing (WGS) assay

Andrew Hughes, Feiyu Du, Michele O’Laughlin, Mohamed Mahgoub et autres

Abstract Introduction Ph-like B-ALL is a poor-risk B-ALL subtype defined by gene expression signatures that resemble the BCR::ABL1-associated transcriptional program in the absence of the BCR-ABL1 oncoprotein. Recent studies have demonstrated that up to 80% of Ph-like B-ALLs have recurrent gene fusions …

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0 citations Blood
2024 conference-abstract OpenAlex

Clearance of Leukemia Associated Mutations (LAMs) after Induction Therapy Is Associated with Favorable Outcomes in Intermediate Risk Acute Myeloid Leukemia: Interim Results of a Multicenter, Prospective Phase II Trial

Meagan A. Jacoby, David H. Spencer, Geoffrey L. Uy, Feng Gao et autres

Introduction: The optimal post-remission consolidation strategy for medically fit, intermediate-risk patients with AML in morphologic first complete remission (CR1) is controversial and can include high-dose cytarabine (HiDAC) or allogeneic hematopoietic cell transplant (alloHCT). We previously showed that patients in CR1 who cleared …

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1 citation Blood
Accès ouvert 2021 article OpenAlex

Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers

Eric J. Duncavage, Molly C. Schroeder, Michele O’Laughlin, Roxanne Wilson et autres

BACKGROUND: Genomic analysis is essential for risk stratification in patients with acute myeloid leukemia (AML) or myelodysplastic syndromes (MDS). Whole-genome sequencing is a potential replacement for conventional cytogenetic and sequencing approaches, but its accuracy, feasibility, and clinical utility have not been demonstrated. …

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303 citations New England Journal of Medicine
Accès ouvert 2015 article OpenAlex

Genome Modeling System: A Knowledge Management Platform for Genomics

Malachi Griffith, Obi L. Griffith, Scott M. Smith, Avinash Ramu et autres

In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis …

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90 citations PLoS Computational Biology

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