## ----setup, include=FALSE------------------------------------------------ knitr::opts_chunk$set(echo = TRUE) knitr::opts_knit$set(progress = FALSE) ## ----message=FALSE, warning=FALSE, include=FALSE------------------------- library(TCGAbiolinks) library(SummarizedExperiment) library(dplyr) library(DT) ## ----results='hide', echo=TRUE, message=FALSE, warning=FALSE------------- clinical <- GDCquery_clinic(project = "TCGA-LUAD", type = "clinical") ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- datatable(clinical, filter = 'top', options = list(scrollX = TRUE, keys = TRUE, pageLength = 5), rownames = FALSE) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- query <- GDCquery(project = "TCGA-COAD", data.category = "Clinical", barcode = c("TCGA-RU-A8FL","TCGA-AA-3972")) GDCdownload(query) clinical <- GDCprepare_clinic(query, clinical.info = "patient") ## ----echo = TRUE, message = FALSE, warning = FALSE----------------------- datatable(clinical, options = list(scrollX = TRUE, keys = TRUE), rownames = FALSE) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- clinical.drug <- GDCprepare_clinic(query, clinical.info = "drug") ## ----echo = TRUE, message = FALSE, warning = FALSE----------------------- datatable(clinical.drug, options = list(scrollX = TRUE, keys = TRUE), rownames = FALSE) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- clinical.radiation <- GDCprepare_clinic(query, clinical.info = "radiation") ## ----echo = TRUE, message = FALSE, warning = FALSE----------------------- datatable(clinical.radiation, options = list(scrollX = TRUE, keys = TRUE), rownames = FALSE) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- clinical.admin <- GDCprepare_clinic(query, clinical.info = "admin") ## ----echo = TRUE, message = FALSE, warning = FALSE----------------------- datatable(clinical.admin, options = list(scrollX = TRUE, keys = TRUE), rownames = FALSE) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- query <- GDCquery(project = "TCGA-COAD", data.category = "Other", legacy = TRUE,access = "open", data.type = "Auxiliary test", barcode = c("TCGA-AD-A5EJ","TCGA-DM-A0X9")) GDCdownload(query) msi_results <- GDCprepare_clinic(query, "msi") ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- datatable(msi_results, options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Tissue slide image files query <- GDCquery(project = "TCGA-COAD", data.category = "Clinical", data.type = "Tissue slide image", legacy = TRUE, barcode = c("TCGA-RU-A8FL","TCGA-AA-3972")) ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- query %>% getResults %>% datatable(options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Pathology report query <- GDCquery(project = "TCGA-COAD", data.category = "Clinical", data.type = "Pathology report", legacy = TRUE, barcode = c("TCGA-RU-A8FL","TCGA-AA-3972")) ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- query %>% getResults %>% datatable(options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Tissue slide image query <- GDCquery(project = "TCGA-COAD", data.category = "Clinical", data.type = "Tissue slide image", legacy = TRUE, barcode = c("TCGA-RU-A8FL","TCGA-AA-3972")) ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- query %>% getResults %>% datatable(options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Clinical Supplement query <- GDCquery(project = "TCGA-COAD", data.category = "Clinical", data.type = "Clinical Supplement", legacy = TRUE, barcode = c("TCGA-RU-A8FL","TCGA-AA-3972")) ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- query %>% getResults %>% datatable(options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Clinical data query <- GDCquery(project = "TCGA-COAD", data.category = "Clinical", data.type = "Clinical data", legacy = TRUE, file.type = "txt") ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- query %>% getResults %>% select(-matches("cases"))%>% datatable(options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- GDCdownload(query) clinical.biotab <- GDCprepare(query) ## ----echo=TRUE, message=FALSE, warning=FALSE----------------------------- names(clinical.biotab) datatable(clinical.biotab$clinical_radiation_coad, options = list(scrollX = TRUE, keys = TRUE)) ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Get XML files and parse them clin.query <- GDCquery(project = "TCGA-READ", data.category = "Clinical", barcode = "TCGA-F5-6702") GDCdownload(clin.query) clinical.patient <- GDCprepare_clinic(clin.query, clinical.info = "patient") clinical.patient.followup <- GDCprepare_clinic(clin.query, clinical.info = "follow_up") # Get indexed data clinical.index <- GDCquery_clinic("TCGA-READ") ## ----echo = TRUE, message = FALSE, warning = FALSE----------------------- select(clinical.patient,vital_status,days_to_death,days_to_last_followup) %>% datatable select(clinical.patient.followup, vital_status,days_to_death,days_to_last_followup) %>% datatable # Vital status should be the same in the follow up table filter(clinical.index,submitter_id == "TCGA-F5-6702") %>% select(vital_status,days_to_death,days_to_last_follow_up) %>% datatable ## ----results = 'hide', echo=TRUE, message=FALSE, warning=FALSE----------- # Get XML files and parse them recurrent.samples <- GDCquery(project = "TCGA-LIHC", data.category = "Transcriptome Profiling", data.type = "Gene Expression Quantification", workflow.type = "HTSeq - Counts", sample.type = "Recurrent Solid Tumor")$results[[1]] %>% select(cases) recurrent.patients <- unique(substr(recurrent.samples$cases,1,12)) clin.query <- GDCquery(project = "TCGA-LIHC", data.category = "Clinical", barcode = recurrent.patients) GDCdownload(clin.query) clinical.patient <- GDCprepare_clinic(clin.query, clinical.info = "patient") ## ----echo = TRUE, message = FALSE, warning = FALSE----------------------- # Get indexed data GDCquery_clinic("TCGA-LIHC") %>% filter(submitter_id %in% recurrent.patients) %>% select(progression_or_recurrence,days_to_recurrence,tumor_grade) %>% datatable # XML data clinical.patient %>% select(bcr_patient_barcode,neoplasm_histologic_grade) %>% datatable