Ryan Sun

Assistant Professor

The University of Texas MD Anderson Cancer Center

United States

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About

Dr. Ryan Sun is an Assistant Professor at the University of Texas MD Anderson Cancer Center in the United States. His research focuses on cancer genetics and epidemiology, with recent articles exploring topics such as lung cancer susceptibility, chemotherapy resistance in triple-negative breast cancer, and genetic association studies related to various types of cancer. Dr. Sun's work aims to advance understanding of cancer mechanisms and improve therapeutic strategies.

Articles (17)

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2025

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2024

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2024

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2024

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2024

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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 (9)

Michael Green

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Kjell Grankvist

Full Professor/Senior Consultant

Umeå Universitet

SWEDEN

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John Field

Clinical Professor of Molecular Oncology

UNITED KINGDOM

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Lori Muffly

Stanford University School of Medicine

UNITED STATES

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Catherine Zhu

Baylor College of Medicine

UNITED STATES

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Naishu Kui

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Suyu Liu

Associate Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Peng Wei

Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Xihong Lin

Professor

Harvard University

UNITED STATES

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Ryan Sun

Research Interests

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About

Articles (17)

Genome-wide association study for lung cancer in 6531 African Americans reveals new susceptibility loci

Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies

Identification of Pancreatic Cancer Germline Risk Variants With Effects That Are Modified by Smoking

Efficacy and Safety of Atezolizumab and Bevacizumab in Appendiceal Adenocarcinoma

Targeting the Epidermal Growth Factor Receptor Pathway in Chemotherapy-Resistant Triple-Negative Breast Cancer: A Phase II Study

Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes

Assessing Predictability of Pathologic Lymph Node Regression for Recurrence and Survival in Esophageal Adenocarcinoma

Regression analysis of general mixed recurrent event data

A Phase I Study of Prophylactic Anakinra to Mitigate ICANS in Patients with Large B-cell Lymphoma

Inference for set‐based effects in genetic association studies with interval‐censored outcomes

Leveraging a surrogate outcome to improve inference on a partially missing target outcome

Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies

Risk assessment with low-pass whole-genome sequencing of cell-free DNA before CD19 CAR T-cell therapy for large B-cell lymphoma

Chimeric antigen receptor T-cell therapy in adults with B-cell acute lymphoblastic leukemia

Moving beyond conventional stratified analysis to assess the treatment effect in a comparative oncology study

Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer

Identification of novel loci associated with infant cognitive ability

Collaborators (9)

Michael Green

Kjell Grankvist

John Field

Lori Muffly

Catherine Zhu

Naishu Kui

Suyu Liu

Peng Wei

Xihong Lin

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