SHA CAO

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Assistant Professor

Indiana University School of Medicine

United States

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About

Dr. Sha Cao is an Assistant Professor at Indiana University School of Medicine in the United States. His research focuses on cancer metastasis, immunotherapy trials, and the genetic and epigenetic factors influencing diseases such as breast cancer. Dr. Cao has contributed to various studies examining cell-wise metabolic flux, patient-physician communication regarding sleep, and immune evasion mechanisms in cancer.

Recent Grants

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CRII: III: Computational framework for disparate data integration to study cancer drug resistance

Open Date: 2019-08-15

Close Date: 2022-07-31

Articles (10)

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2022

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2021

Collaborators (9)

Andrea Bonetto

Associate Professor

University of Colorado Anschutz Medical Campus

UNITED STATES

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Teresa A. Zimmers

UNITED STATES

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National Institutes of Health

UNITED STATES

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Jin Wang

Professor

Baylor College of Medicine

UNITED STATES

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SHA CAO

Research Interests

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Contact this professor

About

Recent Grants

Articles (10)

Aberrant epigenetic and transcriptional events associated with breast cancer risk.

PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning

Genetically programmed alternative splicing of NEMO mediates an autoinflammatory disease phenotype.

SCI: A Bayesian adaptive phase I/II dose-finding design accounting for semi-competing risks outcomes for immunotherapy trials.

A Feasibility Study: Testing Whether a Sleep Application Providing Objective Sleep Data to Physicians Improves Patient-Physician Communication Regarding Sleep Experiences, Habits, and Behaviors.

Tumor-derived IL-6 and trans-signaling among tumor, fat, and muscle mediate pancreatic cancer cachexia

MAL2 drives immune evasion in breast cancer by suppressing tumor antigen presentation.

A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data.

SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data.

Supervised clustering of high-dimensional data using regularized mixture modeling.

Collaborators (9)

Andrea Bonetto

Teresa A. Zimmers

Austyn Colter

Chi Zhang

Harikrishna Nakshatri

Richard Siegel

Natascia Marino

Bin Lin

Jin Wang

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