Information:
Fel:
ID
45884
Beskrivning
Principal Investigator: Timothy Chan, MD, PhD, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA MeSH: Carcinoma, Non-Small-Cell Lung https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000980 Patients with non-small cell lung cancer were treated with pembrolizumab. Their tumors and matched normal blood were sequenced.
Länk
Nyckelord
Versioner (1)
- 2023-11-18 2023-11-18 - Simon Heim
Rättsinnehavare
Timothy Chan, MD, PhD, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Uppladdad den
18 november 2023
DOI
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Licens
Creative Commons BY 4.0
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dbGaP phs000980 PD-1 Blockade in Non-Small Cell Lung Cancer
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject aliases and affection status for case control status of the subject. All subjects are patients with non-small cell lung cancer.
- This subject sample mapping 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 aliases and sample use.
- This sample attributes table contains de-identified sample ID, body site where sample was collected, analyte type, tumor status, histological type, primary tumor, metastasis, or transformed cell line, primary tumor location, tumor stage, type of tumor treatment, and names of the center which conducted genotyping and sequencing.
- This subject phenotype table contains de-identified Subject ID, patient's cohort in current study, tumor histology, age, sex, smoking status and pack years, PD-L1 protein expression, prior courses of cytotoxic chemotherapy, pembrolizumab dose and administration, progression free survival, best overall response to pembrolizumab, durable clinical benefit and molecular smoking signature.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, subject aliases and affection status for case control status of the subject. All subjects are patients with non-small cell lung cancer.
- This subject sample mapping 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 aliases and sample use.
- This sample attributes table contains de-identified sample ID, body site where sample was collected, analyte type, tumor status, histological type, primary tumor, metastasis, or transformed cell line, primary tumor location, tumor stage, type of tumor treatment, and names of the center which conducted genotyping and sequencing.
- This subject phenotype table contains de-identified Subject ID, patient's cohort in current study, tumor histology, age, sex, smoking status and pack years, PD-L1 protein expression, prior courses of cytotoxic chemotherapy, pembrolizumab dose and administration, progression free survival, best overall response to pembrolizumab, durable clinical benefit and molecular smoking signature.
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])
C0680251 (UMLS CUI [1,2])
*Inclusion*: non-small cell lung cancer, treated with pembrolizumab
Item
*Inclusion*: non-small cell lung cancer, treated with pembrolizumab
boolean
C1512693 (UMLS CUI [1,1])
C0007131 (UMLS CUI [1,2])
C0087111 (UMLS CUI [1,3])
C3658706 (UMLS CUI [1,4])
C0007131 (UMLS CUI [1,2])
C0087111 (UMLS CUI [1,3])
C3658706 (UMLS CUI [1,4])