TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response

Author:

Zeng Zexian12ORCID,Wong Cheryl J13,Yang Lin1,Ouardaoui Nofal1,Li Dian1ORCID,Zhang Wubing14,Gu Shengqing5612,Zhang Yi12,Liu Yang1,Wang Xiaoqing5612,Fu Jingxin57,Zhou Liye5,Zhang Boning5612,Kim Sarah7,Yates Kathleen B78,Brown Myles56ORCID,Freeman Gordon J5,Uppaluri Ravindra59,Manguso Robert78,Liu X Shirley126ORCID

Affiliation:

1. Department of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA

2. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA

3. Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115 USA

4. School of Life Science and Technology, Tongji University, Shanghai, 200060, China

5. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA

6. Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA

7. Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02129, USA

8. Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02114, USA

9. Department of Surgery, Brigham and Women's Hospital, Boston, MA 02215, USA

Abstract

Abstract Syngeneic mouse models are tumors derived from murine cancer cells engrafted on genetically identical mouse strains. They are widely used tools for studying tumor immunity and immunotherapy response in the context of a fully functional murine immune system. Large volumes of syngeneic mouse tumor expression profiles under different immunotherapy treatments have been generated, although a lack of systematic collection and analysis makes data reuse challenging. We present Tumor Immune Syngeneic MOuse (TISMO), a database with an extensive collection of syngeneic mouse model profiles with interactive visualization features. TISMO contains 605 in vitro RNA-seq samples from 49 syngeneic cancer cell lines across 23 cancer types, of which 195 underwent cytokine treatment. TISMO also includes 1518 in vivo RNA-seq samples from 68 syngeneic mouse tumor models across 19 cancer types, of which 832 were from immune checkpoint blockade (ICB) studies. We manually annotated the sample metadata, such as cell line, mouse strain, transplantation site, treatment, and response status, and uniformly processed and quality-controlled the RNA-seq data. Besides data download, TISMO provides interactive web interfaces to investigate whether specific gene expression, pathway enrichment, or immune infiltration level is associated with differential immunotherapy response. TISMO is available at http://tismo.cistrome.org.

Funder

Breast Cancer Research Foundation

National Institutes of Health

Sara Elizabeth O’Brien Trust

Dana-Farber Cancer Institute

Publisher

Oxford University Press (OUP)

Subject

Genetics

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