CCAS: One-stop and comprehensive annotation system for individual cancer genome at multi-omics level.

Xinchang Zheng, Wenting Zong, Zhaohua Li, Yingke Ma, Yanling Sun, Zhuang Xiong, Song Wu, Fei Yang, Wei Zhao, Congfan Bu, Zhenglin Du, Jingfa Xiao, Yiming Bao
Author Information
  1. Xinchang Zheng: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  2. Wenting Zong: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  3. Zhaohua Li: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  4. Yingke Ma: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  5. Yanling Sun: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  6. Zhuang Xiong: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  7. Song Wu: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  8. Fei Yang: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  9. Wei Zhao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  10. Congfan Bu: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  11. Zhenglin Du: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  12. Jingfa Xiao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
  13. Yiming Bao: National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.

Abstract

Due to the explosion of cancer genome data and the urgent needs for cancer treatment, it is becoming increasingly important and necessary to easily and timely analyze and annotate cancer genomes. However, tumor heterogeneity is recognized as a serious barrier to annotate cancer genomes at the individual patient level. In addition, the interpretation and analysis of cancer multi-omics data rely heavily on existing database resources that are often located in different data centers or research institutions, which poses a huge challenge for data parsing. Here we present CCAS (cancer genome Consensus Annotation System, https://ngdc.cncb.ac.cn/CCAS/#/home), a one-stop and comprehensive annotation system for the individual patient at multi-omics level. CCAS integrates 20 widely recognized resources in the field to support data annotation of 10 categories of cancers covering 395 subtypes. Data from each resource are manually curated and standardized by using ontology frameworks. CCAS accepts data on single nucleotide variant/insertion or deletion, expression, copy number variation, and methylation level as input files to build a consensus annotation. Outputs are arranged in the forms of tables or figures and can be searched, sorted, and downloaded. Expanded panels with additional information are used for conciseness, and most figures are interactive to show additional information. Moreover, CCAS offers multidimensional annotation information, including mutation signature pattern, gene set enrichment analysis, pathways and clinical trial related information. These are helpful for intuitively understanding the molecular mechanisms of tumors and discovering key functional genes.

Keywords

References

  1. Cancer Cell. 2020 Jan 13;37(1):8-19 [PMID: 31935374]
  2. Int J Mol Sci. 2019 Sep 26;20(19): [PMID: 31561483]
  3. Nucleic Acids Res. 2019 Jan 8;47(D1):D941-D947 [PMID: 30371878]
  4. Nucleic Acids Res. 2001 Jan 1;29(1):308-11 [PMID: 11125122]
  5. Nucleic Acids Res. 2022 Jan 7;50(D1):D687-D692 [PMID: 34788843]
  6. Genome Med. 2020 Dec 2;12(1):103 [PMID: 33261662]
  7. Nucleic Acids Res. 2019 Jan 8;47(D1):D1056-D1065 [PMID: 30462303]
  8. Cancer Discov. 2012 May;2(5):401-4 [PMID: 22588877]
  9. Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50 [PMID: 16199517]
  10. Nat Commun. 2022 Feb 9;13(1):756 [PMID: 35140225]
  11. CA Cancer J Clin. 2007 Jan-Feb;57(1):43-66 [PMID: 17237035]
  12. Nat Methods. 2019 Jun;16(6):505-507 [PMID: 31110280]
  13. Nature. 2010 Oct 28;467(7319):1061-73 [PMID: 20981092]
  14. Nat Biotechnol. 2016 Feb;34(2):155-63 [PMID: 26619011]
  15. Leukemia. 2022 Jul;36(7):1898-1906 [PMID: 35505182]
  16. Nucleic Acids Res. 2021 Jan 8;49(D1):D1144-D1151 [PMID: 33237278]
  17. Eur Urol. 2004 Jan;45(1):1-17 [PMID: 14667509]
  18. J Clin Invest. 2021 Feb 15;131(4): [PMID: 33586682]
  19. Genome Biol. 2016 Jun 06;17(1):122 [PMID: 27268795]
  20. JCO Clin Cancer Inform. 2020 Mar;4:310-317 [PMID: 32228266]
  21. Cancer Epidemiol Biomarkers Prev. 2016 Jan;25(1):16-27 [PMID: 26667886]
  22. Nature. 2020 May;581(7809):434-443 [PMID: 32461654]
  23. Cell Rep. 2016 Sep 27;17(1):275-288 [PMID: 27681437]
  24. Nat Commun. 2021 Feb 12;12(1):1003 [PMID: 33579932]
  25. Nucleic Acids Res. 2017 Jan 4;45(D1):D840-D845 [PMID: 27899611]
  26. Nat Biotechnol. 2020 Jun;38(6):675-678 [PMID: 32444850]
  27. Nature. 2020 Feb;578(7793):82-93 [PMID: 32025007]
  28. Nat Commun. 2020 Jul 7;11(1):3400 [PMID: 32636365]
  29. Nucleic Acids Res. 2010 Sep;38(16):e164 [PMID: 20601685]
  30. Bioinformatics. 2015 Jul 1;31(13):2202-4 [PMID: 25701572]
  31. Nature. 2009 Apr 9;458(7239):719-24 [PMID: 19360079]
  32. Nucleic Acids Res. 2017 Jan 4;45(D1):D985-D994 [PMID: 27899665]
  33. Bioinformatics. 2011 Mar 1;27(5):718-9 [PMID: 21208982]
  34. Fly (Austin). 2012 Apr-Jun;6(2):80-92 [PMID: 22728672]
  35. J Int Med Res. 2020 Apr;48(4):300060519895687 [PMID: 31891283]
  36. Cancer Cell. 2017 Nov 13;32(5):574-589.e6 [PMID: 29136504]
  37. Nat Genet. 2017 Feb;49(2):296-302 [PMID: 27941798]
  38. Cell. 2013 Mar 28;153(1):17-37 [PMID: 23540688]
  39. Nucleic Acids Res. 2018 Jan 4;46(D1):D754-D761 [PMID: 29155950]
  40. Genome Med. 2018 Mar 28;10(1):25 [PMID: 29592813]
  41. Front Genet. 2020 Sep 24;11:518644 [PMID: 33193602]
  42. BMC Bioinformatics. 2013 Jan 16;14:7 [PMID: 23323831]
  43. Int J Mol Sci. 2020 Jun 25;21(12): [PMID: 32630372]
  44. Int J Clin Pract. 2016 Feb;70(2):171-4 [PMID: 26763799]
  45. Eur J Cancer. 2013 Apr;49(6):1374-403 [PMID: 23485231]
  46. Nucleic Acids Res. 2021 Jan 8;49(D1):D939-D946 [PMID: 33152070]
  47. Cancer Res. 2018 Jul 15;78(14):3954-3968 [PMID: 29784854]
  48. Nat Rev Cancer. 2020 Oct;20(10):555-572 [PMID: 32778778]
  49. Nucleic Acids Res. 2021 Jan 8;49(D1):D480-D489 [PMID: 33237286]
  50. Int J Mol Sci. 2016 Sep 14;17(9): [PMID: 27649151]
  51. Sci Signal. 2013 Apr 02;6(269):pl1 [PMID: 23550210]
  52. Nucleic Acids Res. 2022 Jan 7;50(D1):D1255-D1261 [PMID: 34755882]
  53. Bioinformatics. 2014 Apr 1;30(7):1006-7 [PMID: 24351709]
  54. Biomed Res Int. 2018 Oct 3;2018:9836256 [PMID: 30402498]
  55. Genome Biol. 2016 Feb 22;17:31 [PMID: 26899170]
  56. Bioinformatics. 2018 May 15;34(10):1778-1780 [PMID: 29272339]
  57. Genome Biol. 2016 Jun 01;17(1):118 [PMID: 27250555]
  58. Cancer Discov. 2018 Feb;8(2):174-183 [PMID: 29247016]

Links to CNCB-NGDC Resources

Database Commons: DBC008648 (CCAS)

Word Cloud

Created with Highcharts 10.0.0cancerdataannotationindividuallevelmulti-omicsCCASinformationgenomepatientcomprehensiveannotategenomesrecognizedanalysisresourcessystemfiguresadditionalDueexplosionurgentneedstreatmentbecomingincreasinglyimportantnecessaryeasilytimelyanalyzeHowevertumorheterogeneityseriousbarrieradditioninterpretationrelyheavilyexistingdatabaseoftenlocateddifferentcentersresearchinstitutionsposeshugechallengeparsingpresentCancerConsensusAnnotationSystemhttps://ngdccncbaccn/ccas/#/homeone-stopintegrates20widelyfieldsupport10categoriescancerscovering395subtypesDataresourcemanuallycuratedstandardizedusingontologyframeworksacceptssinglenucleotidevariant/insertiondeletionexpressioncopynumbervariationmethylationinputfilesbuildconsensusOutputsarrangedformstablescansearchedsorteddownloadedExpandedpanelsusedconcisenessinteractiveshowMoreoveroffersmultidimensionalincludingmutationsignaturepatterngenesetenrichmentpathwaysclinicaltrialrelatedhelpfulintuitivelyunderstandingmolecularmechanismstumorsdiscoveringkeyfunctionalgenesCCAS:One-stopdatabasesintegrationwebserver

Similar Articles

Cited By (1)