ID
45611
Description
Principal Investigator: Glen J Weiss, MD, Cancer Treatment Centers of America, Goodyear, AZ, USA MeSH: Small Cell Lung Carcinoma https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001366 In this prospective study, custom genome-wide exome and whole transcriptome sequencing (NGS) was used to identify genomic events and associated expression changes in advanced Small Cell Lung Cancer (SCLC) and attempt to prescribe systemic therapy based on the results. Tumor/normal pairs were sequenced from 12 patients with advanced SCLC for this study.
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Versions (1)
- 2/22/23 2/22/23 - Chiara Middel
Copyright Holder
Glen J Weiss, MD, Cancer Treatment Centers of America, Goodyear, AZ, USA
Uploaded on
February 22, 2023
DOI
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License
Creative Commons BY 4.0
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dbGaP phs001366 Pilot Study of Exome and mRNA Profiling in Small Cell Lung Cancer Patients
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs and consent information.
- 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 ID, age, sex, ethnicity, KPS score, biopsy site, and smoke history.
- This sample attributes table contains sample ID, body site where sample was collected, analyte type, tumor status, histological type, and name of the center which conducted sequencing.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs and consent information.
- 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 ID, age, sex, ethnicity, KPS score, biopsy site, and smoke history.
- This sample attributes table contains sample ID, body site where sample was collected, analyte type, tumor status, histological type, and name of the center which conducted sequencing.
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C0027651 (UMLS CUI [1,4])
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C0206065 (UMLS CUI [2,2])
C0023671 (UMLS CUI [2,3])
C1442488 (UMLS CUI [2,4])
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C0005953 (UMLS CUI [2,7])
C0232804 (UMLS CUI [2,8])
C0232741 (UMLS CUI [2,9])
C0680251 (UMLS CUI [3,1])
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C0032961 (UMLS CUI [3,10])
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C0005558 (UMLS CUI [3,13])
C4743675 (UMLS CUI [3,14])
C1298908 (UMLS CUI [4,1])
C0680251 (UMLS CUI [4,2])
C2348568 (UMLS CUI [4,3])
C0008976 (UMLS CUI [4,4])