Hannah Carter

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Associate Professor

University of California, San Diego

United States

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About

Hannah Carter is an Associate Professor at the University of California, San Diego. Her research focuses on cancer prognosis, immune response mechanisms, and epigenetic factors contributing to tumor biology, as reflected in her recent publications. Notable areas include the intersection of germline variants and MHC disruptions in tumors, as well as the application of novel analytical tools for understanding genetic data. She is dedicated to advancing knowledge in cancer immunology and therapeutic responses.

Recent Grants

Grant: Close

(PQ3) Disruption of immune surveillance by aneuploidy and aberrant MHCII expression

Open Date: 2017-08-17

Close Date: 2022-07-31

Grant: Close

Network approaches to identify cancer drivers from high-dimensional tumor data

Open Date: 2013-09-24

Close Date: 2018-08-31

Grant: Close

San Diego Center for Systems Biology: From Maps to Models

Open Date: 2008-07-01

Close Date: 2019-05-31

Articles (16)

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (4)

Timothy Sears

University of California, San Diego

UNITED STATES

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Theresa Guo

Assistant Professor

University of California, San Diego

UNITED STATES

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Maurizio Zanetti

Professor

University of California, San Diego

UNITED STATES

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Alessandro Sette

Professor and Member

La Jolla Institute for Immunology

UNITED STATES

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Hannah Carter

Research Interests

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About

Recent Grants

Articles (16)

Epigenetic germline variants predict cancer prognosis and risk and distribute uniquely in topologically associating domains

MHC Hammer Decodes HLA Disruption in Tumors

Integrated germline and somatic features reveal divergent immune pathways driving response to immune checkpoint blockade

GRIEVOUS: your command-line general for resolving cross-dataset genotype inconsistencies

A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps

Epigenetic germline variants predict cancer prognosis and risk and distribute uniquely in topologically associating domains

Autoimmune HLA Alleles and Neoepitope Presentation Predict Post-Allogenic Transplant Relapse

Transcriptional analysis links B cells and TERT expression to favorable prognosis in head and neck cancer

Predictive analyses of regulatory sequences with EUGENe

OutSplice: A Novel Tool for the Identification of Tumor-Specific Alternative Splicing Events

Subcellular location of source proteins improves prediction of neoantigens for immunotherapy

Publisher Correction: Predicting functional consequences of mutations using molecular interaction network features

Predicting functional consequences of mutations using molecular interaction network features

The unfolded protein response links tumor aneuploidy to local immune dysregulation

Intratumoral bacteria generate a new class of therapeutically relevant tumor antigens in melanoma

Mutagenic exposures shape immunotherapy responses

Collaborators (4)

Timothy Sears

Theresa Guo

Maurizio Zanetti

Alessandro Sette

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