Analysis and visualization of longitudinal genomic and clinical data from the AACR Project GENIE Biopharma Collaborative in cBioPortal Journal Article


Authors: de Bruijn, I.; Kundra, R.; Mastrogiacomo, B.; Tran, T. N.; Sikina, L.; Mazor, T.; Li, X.; Ochoa, A.; Zhao, G.; Lai, B.; Abeshouse, A.; Baiceanu, D.; Ciftci, E.; Dogrusoz, U.; Dufilie, A.; Erkoc, Z.; Lara, E. G.; Fu, Z.; Gross, B.; Haynes, C.; Heath, A.; Higgins, D.; Jagannathan, P.; Kalletla, K.; Kumari, P.; Lindsay, J.; Lisman, A.; Leenknegt, B.; Lukasse, P.; Madela, D.; Madupuri, R.; van Nierop, P.; Plantalech, O.; Quach, J.; Resnick, A. C.; Rodenburg, S. Y. A.; Satravada, B. A.; Schaeffer, F.; Sheridan, R.; Singh, J.; Sirohi, R.; Sumer, S. O.; van Hagen, S.; Wang, A.; Wilson, M.; Zhang, H.; Zhu, K.; Rusk, N.; Brown, S.; Lavery, J. A.; Panageas, K. S.; Rudolph, J. E.; LeNoue-Newton, M. L.; Warner, J. L.; Guo, X.; Hunter-Zinck, H.; Yu, T.; Pilai, S.; Nichols, C.; Gardos, S. M.; Philip, J.; AACR Project GENIE BPC Core Team, AACR Project GENIE Consortium; Kehl, K. L.; Riely, G. J.; Schrag, D.; Lee, J.; Fiandalo, M. V.; Sweeney, S. M.; Pugh, T. J.; Sander, C.; Cerami, E.; Gao, J.; Schultz, N.
Article Title: Analysis and visualization of longitudinal genomic and clinical data from the AACR Project GENIE Biopharma Collaborative in cBioPortal
Abstract: International cancer registries make real-world genomic and clinical data available, but their joint analysis remains a challenge. AACR Project GENIE, an international cancer registry collecting data from 19 cancer centers, makes data from >130,000 patients publicly available through the cBioPortal for Cancer Genomics (https://genie.cbioportal.org). For 25,000 patients, additional real-world longitudinal clinical data, including treatment and outcome data, are being collected by the AACR Project GENIE Biopharma Collaborative using the PRISSMM data curation model. Several thousand of these cases are now also available in cBioPortal. We have significantly enhanced the functionalities of cBioPortal to support the visualization and analysis of this rich clinico-genomic linked dataset, as well as datasets generated by other centers and consortia. Examples of these enhancements include (i) visualization of the longitudinal clinical and genomic data at the patient level, including timelines for diagnoses, treatments, and outcomes; (ii) the ability to select samples based on treatment status, facilitating a comparison of molecular and clinical attributes between samples before and after a specific treatment; and (iii) survival analysis estimates based on individual treatment regimens received. Together, these features provide cBioPortal users with a toolkit to interactively investigate complex clinico-genomic data to generate hypotheses and make discoveries about the impact of specific genomic variants on prognosis and therapeutic sensitivities in cancer. Significance: Enhanced cBioPortal features allow clinicians and researchers to effectively investigate longitudinal clinico-genomic data from patients with cancer, which will improve exploration of data from the AACR Project GENIE Biopharma Collaborative and similar datasets.
Keywords: classification; cancer
Journal Title: Cancer Research
Volume: 83
Issue: 23
ISSN: 0008-5472
Publisher: American Association for Cancer Research  
Date Published: 2023-12-01
Start Page: 3861
End Page: 3867
Language: English
ACCESSION: WOS:001154743000004
DOI: 10.1158/0008-5472.Can-23-0816
PROVIDER: wos
PMCID: PMC10690089
PUBMED: 37668528
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PubMed record and PDF. Corresponding MSK author is Ino de Bruijn -- Source: Wos
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MSK Authors
  1. Deborah Schrag
    229 Schrag
  2. Gregory J Riely
    599 Riely
  3. Katherine S Panageas
    512 Panageas
  4. Jianjiong Gao
    132 Gao
  5. Nikolaus D Schultz
    486 Schultz
  6. Benjamin E Gross
    44 Gross
  7. John Philip
    48 Philip
  8. Manda E Wilson
    18 Wilson
  9. Stuart M Gardos
    21 Gardos
  10. Selcuk Onur Sumer
    33 Sumer
  11. Ritika   Kundra
    88 Kundra
  12. Hongxin Zhang
    47 Zhang
  13. Angelica Ochoa
    30 Ochoa
  14. Julia E Rudolph
    16 Rudolph
  15. Xiang Li
    8 Li
  16. Jessica Ann Lavery
    79 Lavery
  17. Aaron Samuel Lisman
    12 Lisman
  18. Avery J Wang
    12 Wang
  19. Gaofei Zhao
    9 Zhao
  20. Samantha Brown
    56 Brown
  21. Nicole Rusk
    11 Rusk
  22. Divya Madala
    3 Madala
  23. Chelsea Lynn Nichols
    15 Nichols
  24. Thinh Ngoc Tran
    10 Tran
  25. Bryan Lai
    1 Lai