Evidence map›Paper›PMID 34534350›Full record

ArticleNucleic acids research2022

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

Zexian Zeng, Cheryl J Wong, Lin Yang, Nofal Ouardaoui, Dian Li, Wubing Zhang, Shengqing Gu, Yi Zhang, Yang Liu, Xiaoqing Wang and 10 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Zexian ZengDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-3905-3244
Cheryl J WongDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Lin YangDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Nofal OuardaouiDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Dian LiDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-5374-7314
Wubing ZhangDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Shengqing GuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Yi ZhangDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Yang LiuDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.
Xiaoqing WangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Jingxin FuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Liye ZhouDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Boning ZhangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Sarah KimBroad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02129, USA.
Kathleen B YatesBroad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02129, USA.
Myles BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-8213-1658
Gordon J FreemanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Ravindra UppaluriDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Robert MangusoBroad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02129, USA.
X Shirley LiuDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0003-4736-7339

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Cancer Immunologic Data Commons (CIDC) Supplement RequestU24CA224316 · NCI · DANA-FARBER CANCER INST · PI CERAMI, ETHAN, MICHOR, FRANZISKA · 2017 to 2022
$6.8M
Regulators of Cancer Immunotherapy ResponseR01CA234018 · NCI · DANA-FARBER CANCER INST · PI BROWN, MYLES A · 2019 to 2022
$2.3M
NCI NIH HHS R01 CA234018NCI NIH HHS U24 CA224316NLM NIH HHS T15 LM007092
6 · The paper itself

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.

Indexed as

Biomarkers, PharmacologicalSoftwareAnimalsDatabases, GeneticDisease Models, AnimalHumansImmunotherapyMiceNeoplasmsTumor MicroenvironmentBiomarkers, Pharmacological

Identifiers

PMID34534350
PMCPMC8728303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.