ID

45731

Beskrivning

Principal Investigator: Doron Lipson, PhD, Foundation Medicine Inc., Cambridge, MA, USA MeSH: Neoplasms,Thoracic Neoplasms,Digestive System Neoplasms,Breast Neoplasms,Urogenital Neoplasms,Endocrine Gland Neoplasms,Nervous System Neoplasms,Skin Neoplasms,Head and Neck Neoplasms,Abdominal Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001179 The Foundation Medicine adult cancer clinical dataset consists of 18,004 unique solid tumor samples that underwent genomic profiling on a single uniform platform as part of standard clinical care. The dataset is derived from the FoundationOne® genomic profiling assay version 2 that interrogates exonic regions of 287 cancer-related genes and selected introns from 19 genes known to undergo rearrangements in human cancer. Genomic DNA samples were sequenced to over 500x median coverage, and custom computational analyses identified all classes of genomic alterations (base substitutions, insertions and deletions, copy number alterations, and rearrangements). Since matched normal tissue was unavailable for analysis, these data underwent additional filtering to enrich for cancer-related events. The reported data includes genomic alterations that are known and suspected tumor drivers, as well as variants of unknown significance. To preserve patient anonymity, all known or suspected germline variants were removed from the data unless known to be associated with cancer development. The dataset contains genomic alteration profiles generated by FoundationOne version 2 testing for adult cancer patients (over 18 y.o.), and represents a vast diversity of tumor subtypes, including many rare diseases not profiled as part of large-scale profiling efforts. Cases are grouped into 16 broad disease categories containing tumors from 162 unique disease subtypes. Since specimens were profiled as part of clinical care, limited clinical parameters were available, including age, gender, tissue of origin, % of tumor nuclei, and diagnosis. Publication of this dataset is intended to allow the broad scientific community access to this unique cohort for use in scientific research projects of common and rare types of cancer, both for generating leads regarding causal mechanisms as well as cross-testing and confirming existing hypotheses. A pediatric cancer clinical dataset consisting of data from 1,215 patients under 18 y.o. is available separately at: FOUNDATION MEDICINE

Länk

dbGaP study = phs001179

Nyckelord

  1. 29-05-23 29-05-23 - Simon Heim
Rättsinnehavare

Doron Lipson, PhD, Foundation Medicine Inc., Cambridge, MA, USA

Uppladdad den

29 mei 2023

DOI

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Licens

Creative Commons BY 4.0

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dbGaP phs001179 Foundation Medicine Adult Cancer Clinical Dataset (FM-AD)

Eligibility Criteria

Inclusion and exclusion criteria
Beskrivning

Inclusion and exclusion criteria

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
FoundationOne version 2 test results of confirmed solid epithelial tumors from patients over 18 y.o. are included. To protect patient privacy, cases within a disease category represented less than 5 times in the dataset were discarded or merged with other disease categories.
Beskrivning

Elig.phs001179.v1.p1.1

Datatyp

boolean

Alias
UMLS CUI [1,1]
C0333052
UMLS CUI [1,2]
C0456984
UMLS CUI [1,3]
C0280100
UMLS CUI [1,4]
C0001779
UMLS CUI [1,5]
C1512693
UMLS CUI [2,1]
C0547399
UMLS CUI [2,2]
C0150098
UMLS CUI [2,3]
C1882932
UMLS CUI [2,4]
C4699982
UMLS CUI [2,5]
C1881786
UMLS CUI [2,6]
C0683312

Similar models

Eligibility Criteria

Name
Typ
Description | Question | Decode (Coded Value)
Datatyp
Alias
Item Group
Inclusion and exclusion criteria
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
Elig.phs001179.v1.p1.1
Item
FoundationOne version 2 test results of confirmed solid epithelial tumors from patients over 18 y.o. are included. To protect patient privacy, cases within a disease category represented less than 5 times in the dataset were discarded or merged with other disease categories.
boolean
C0333052 (UMLS CUI [1,1])
C0456984 (UMLS CUI [1,2])
C0280100 (UMLS CUI [1,3])
C0001779 (UMLS CUI [1,4])
C1512693 (UMLS CUI [1,5])
C0547399 (UMLS CUI [2,1])
C0150098 (UMLS CUI [2,2])
C1882932 (UMLS CUI [2,3])
C4699982 (UMLS CUI [2,4])
C1881786 (UMLS CUI [2,5])
C0683312 (UMLS CUI [2,6])

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