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The Cancer Genome Atlas (TCGA) & International Cancer Genome Consortium (ICGC) Session 4 Rebecca Poulos Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 20 th 21 st April 2017 Exercises


  1. The Cancer Genome Atlas (TCGA) & International Cancer Genome Consortium (ICGC) Session 4 – Rebecca Poulos Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 20 th – 21 st April 2017

  2. Exercises 1. Download patient clinical annotations for AML (TCGA dataset) using GDC data portal and then using the ICGC data portal. 2. Using the ICGC data portal: a. What is the cancer with most frequent RUNX1 mutations? b. Which cancer has the most RUNX1 frameshift mutations? 3. Using cBioPortal: a. Do kidney renal papillary cell carcinoma patients with BAP1 mutations have worse survival than those without? b. Is this gene listed in the Cancer Gene Census and, if so, what is its role in cancer?

  3. 1. Download patient clinical annotations for AML (TCGA dataset) using GDC data portal and then using the ICGC data portal. Select to explore “Data”

  4. 1. Download patient clinical annotations for AML (TCGA dataset) using GDC data portal and then using the ICGC data portal.

  5. 1. Download patient clinical annotations for AML (TCGA dataset) using GDC data portal and then using the ICGC data portal.

  6. 1. Download patient clinical annotations for AML (TCGA dataset) using GDC data portal and then using the ICGC data portal.

  7. 1. Download patient clinical annotations for AML (TCGA dataset) using GDC data portal and then using the ICGC data portal. Go to the home page and click “advanced search”

  8. Click “download donor data” Select AML-US

  9. Check Clinical data Then download

  10. Exercises 1. Download patient clinical annotations for AML (TCGA dataset) using TCGA data portal and then using the ICGC data portal. 2. Using the ICGC data portal: a. What is the cancer with most frequent RUNX1 mutations? b. Which cancer has the most RUNX1 frameshift mutations? 3. Using cBioPortal: a. Do kidney renal papillary cell carcinoma patients with BAP1 mutations have worse survival than those without? b. Is this gene listed in the Cancer Gene Census and, if so, what is its role in cancer?

  11. 2. (a) What is the cancer with most frequent RUNX1 mutations? Type “RUNX1”

  12. 2. (a) What is the cancer with most frequent RUNX1 mutations? Select “Cancer Distribution” Skin cancer (melanoma) has the most frequent RUNX1 mutations Just type RUNX1 in search box on ICGC data portal homepage

  13. 2. (b) Which cancer has the most RUNX1 frameshift mutations? Go to the home page and click “advanced search” Use advanced search and then select missense in “mutations” tab

  14. 2. (b) Which cancer has the most RUNX1 frameshift mutations? Type “RUNX1”

  15. 2. (b) Which cancer has the most RUNX1 frameshift mutations? Select “Frameshift” There are 17 breast cancer samples

  16. Exercises 1. Download patient clinical annotations for AML (TCGA dataset) using TCGA data portal and then using the ICGC data portal. 2. Using the ICGC data portal: a. What is the cancer with most frequent RUNX1 mutations? b. Which cancer has the most RUNX1 frameshift mutations? 3. Using cBioPortal: a. Do kidney renal papillary cell carcinoma patients with BAP1 mutations have worse survival than those without? b. Is this gene listed in the Cancer Gene Census and, if so, what is its role in cancer?

  17. 3. Do kidney renal papillary cell carcinoma patients with BAP1 mutations have worse survival than those without? 1. Select cancer study (kidney renal papillary cell carcinoma) 2. Check mutations 3. Type in BAP1 4. Click submit

  18. 3. Do kidney renal papillary cell carcinoma patients with BAP1 mutations have worse survival than those without? Click on Survival tab to see Kaplan-Meier plots 5% of kidney renal papillary cell carcinoma patients have BAP1 mutations

  19. 3. Do kidney renal papillary cell carcinoma patients with BAP1 mutations have worse survival than those without? No, patients with BAP1 mutations have no difference in survival to those without. But is the sample size large enough to say this confidently?

  20. Cancer Gene Census

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