Cancer Therapy and Clonal Hematopoiesis (MSK, Clin Cancer Res 2022)

Default Boolean Operator: Terms in a search string will be connected by the AND operator, EXAMPLE: searching genomic melanoma will produce the same results as genomic AND melanoma .
AND, OR, NOT: Combine terms in a search with the boolean operators AND (to add specificity), OR (to broaden), or NOT (to eliminate a term). Operators must be capitalized (all other search terms are not case-sensitive).
Wild Card: Add wild card symbols * (open-ended) and ? (single character) to truncate terms. EXAMPLE: searching gen* shows results for 'gene', 'genetic', 'genomic, etc. Searching gene? returns results for 'gene' or 'genes' but not for 'genome'.
Phrase Searching: Enclose search in quotation marks "keyword or search term" to search for an exact phrase. EXAMPLE: "transcription factors" returns results for records where transcription is immediately followed by the word factors .
Diacritics: Words containing diacritics translate those characters to non-diacritic form. EXAMPLE: massague returns results for Massague&#769 .
Filter by: Located on the homepage (left panel), use filters to search for records or narrow the search. From search results page, filters can be removed by clicking on the term at the top of the page.

UID: 11252

Description: Clonal hematopoiesis mutations identified in blood samples from patients whose tumor-blood pairs were analyzed using MSK-IMPACT. The clinical data includes mutation count, information about mutated genes, patient demographics, and information about treatment. The data set also includes charts visualizing data summaries and customizable plotting tool.

Subject of Study

Subject(s)

Access via cBioPortal
Access Restrictions: Free to All
Access Instructions: This cBioPortal for Cancer Genomics dataset is publicly available for viewing in tables or, for copy-number segments, via integrated IGV application. The data is also available for download in its entirety as a zipped TSV file. Some features are only available by logging in with a Google or Microsoft account. These features include storing your virtual studies and groups which allows you to access your studies and groups from any computer, and to allow cBioPortal to remember your study view charts preferences for each study (i.e. order of the charts, type of charts and visibility). Login is optional and not required to access any of the other features of cBioPortal.
Associated Publications: Spitzer B, Rutherford K, Gundem G, McGovern E, Millard N, Arango Ossa J, Cheung I, Gao T, Levine M, Zhang Y, Medina-Martínez J, Feng Y, Ptashkin R, Bolton K, Farnoud N, Zhou Y, Patel M, Asimomitis G, Cobbs C, Mohibullah N, Huberman K, Arcilla M, Kushner B, Modak S, Kung A, Zehir A, Levine R, Armstron S, Cheung N, Papaemmanuil E. Bone marrow surveillance of pediatric cancer survivors identifies clones that predict therapy-related leukemia. Clinical Cancer Research. 2022; 28(8):1614-1627.
Dataset Format(s): TSV
Dataset Size: 200 KB

Do you have or know of a dataset that should be added to the catalog? Let us know!