ID
45139
Beschreibung
Principal Investigator: Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA MeSH: Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000330 Seven primary prostate cancers and their paired normal counterparts were DNA-sequenced on a massively parallel sequencing platform. This approach was taken to investigate the genomes for mutations and genomic alterations that would be undetectable by lower-resolution methods. As result, tumors containing chains of balanced rearrangements that occurred within or adjacent to known cancer genes were discovered.
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Versionen (3)
- 08.10.22 08.10.22 - Adrian Schulz
- 12.10.22 12.10.22 - Adrian Schulz
- 12.10.22 12.10.22 - Adrian Schulz
Rechteinhaber
Mark A. Rubin, MD, Weill Cornell Medical College, New York, NY, USA
Hochgeladen am
12. Oktober 2022
DOI
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Lizenz
Creative Commons BY 4.0
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dbGaP phs000330 The Genomic Complexity of Primary Human Prostate Cancer
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject ID, subject sources, consent form, and affection status of participants affected with prostate cancer.
- Sample ID, subject ID, and sample sources of participants affected with prostate cancer.
- Prostate tumor characteristics, tumor sample characteristics, and demography of participants affected with prostate cancer.
- Prostate tumor characteristics, tumor and normal blood sample characteristics, and subject ID of participants affected with prostate cancer.
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Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject ID, subject sources, consent form, and affection status of participants affected with prostate cancer.
- Sample ID, subject ID, and sample sources of participants affected with prostate cancer.
- Prostate tumor characteristics, tumor sample characteristics, and demography of participants affected with prostate cancer.
- Prostate tumor characteristics, tumor and normal blood sample characteristics, and subject ID of participants affected with prostate cancer.
C1512693 (UMLS CUI [1,2])