Research reading room
MSK MetTropism (MSK, Cell 2021)
Summary
MSK MetTropism (MSK, Cell 2021) is a study catalogued by cBioPortal DataHub under the cancer-type code mixed. EvidenceHelix groups it with multiple or not classified from the title studies.
Study description
MSK-MET (Memorial Sloan Kettering - Metastatic Events and Tropisms) is a pan-cancer cohort of tumor genomic and clinical outcome data from 25,000 patients. The dataset identifies associations between tumor genomic alterations and patterns of metastatic dissemination across 50 tumor types; showing that chromosomal instability is strongly correlated with metastatic burden in some tumor types, like prostate and lung adenocarcinomas and HR+/HER2+ breast ductal carcinoma, but not in others, such as colorectal MSS, pancreatic adenocarcinoma and high-grade serous ovarian cancer. The study also identifies somatic alterations associated with increased metastatic burden and routes of metastatic spread. Our data offers a resource for the investigation of the biologic basis for metastatic spread and highlights the role of chromosomal instability in cancer progression. This data is available under the Creative Commons BY-NC-ND 4.0 license (https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en).
Text as published in the source's study metadata.
Citation & PubMed
Nguyen et al. Cell 2022
Linked PubMed records: PMID 35120664
Source & licence
Metadata from cBioPortal DataHub at e1b75cd25b, available under the ODC Open Database License (ODbL) 1.0. See the Source metadata tab for every field.
Source metadata
- Study identifier
- msk_met_2021
- Short name
- Mixed (MSK, Cell 2021)
- Source cancer-type code
- mixed
- Reference genome
- not given
- Source access groups
- not given
- Original study
- View on cBioPortal
- Metadata file
- meta_study.txt at e1b75cd25b
- Database licence
- ODC Open Database License (ODbL) 1.0
Study-level metadata only (title, description, cancer-type code, citation, PubMed ids). No patient, sample, mutation or clinical data, and no publication full text, is included. Individual studies may carry their own terms; follow each study's source links before reusing its data.
Citations
Nguyen et al. Cell 2022
Citation counts are not part of the source metadata and are not shown.
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