ID
45796
Descripción
Principal Investigator: Levi Garraway, Dana Farber Cancer Institute, Boston, MA, USA MeSH: Neoplasms,Colonic Neoplasms,Lung Neoplasms,Adenocarcinoma of lung https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001075 The overall goal of the CanSeq U01 project is to study the impact of whole-exome sequencing (WES) on the clinical care of cancer patients and oncology provider practices. The aims of Project 1 are to implement and establish the feasibility of germline and somatic WES in patients with advanced solid tumors (lung and colon); to develop a framework for interpreting and reporting for exome sequencing data; to determine the proportion of patients with "actionable items" compared to existing technologies; and to report on the percentage of patients in whom unique WES findings led to a clinical action. The aims of Project 2 are to implement a production-scale platform for WES from archival (FFPE) material; to identify biologically relevant somatic and germline alterations existing in tumor/normal DNA from individual patients; to produce an evidence-based list of clinically "actionable" genetic alterations; and to develop inferential models that predict the utility of tumor genomic data within the larger clinical context. The goals of Project 3 are to describe the impact of information derived through WES on cancer patients; to test the hypothesis that patients will want to receive information about all potentially informative somatic and germline variants; to study patients' understanding of disclosed genomic information; and to describe the experiences of oncology providers as they implement WES into cancer care delivery.
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Versiones (1)
- 23/6/23 23/6/23 - Chiara Middel
Titular de derechos de autor
Levi Garraway, Dana Farber Cancer Institute, Boston, MA, USA
Subido en
23 de junio de 2023
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs001075 Sequencing to Guide Cancer Care (CanSeq)
The subject consent file includes subject IDs, consent information, and affection status of the subject for lung cancer or colon cancer.
- StudyEvent: SEV1
- The subject consent file includes subject IDs, consent information, and affection status of the subject for lung cancer or colon cancer.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table contains subject IDs and primary disease.
- This sample attributes table contains sample IDs, sample type, and analyte type.
Similar models
The subject consent file includes subject IDs, consent information, and affection status of the subject for lung cancer or colon cancer.
- StudyEvent: SEV1
- The subject consent file includes subject IDs, consent information, and affection status of the subject for lung cancer or colon cancer.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table contains subject IDs and primary disease.
- This sample attributes table contains sample IDs, sample type, and analyte type.
C0441833 (UMLS CUI [1,2])
C0242481 (UMLS CUI [1,2])