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Proteogenomics connects somatic mutations to signalling in breast cancer

Author

Listed:
  • Philipp Mertins

    (The Broad Institute of MIT and Harvard, Cambridge)

  • D. R. Mani

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Kelly V. Ruggles

    (New York University Langone Medical Center)

  • Michael A. Gillette

    (The Broad Institute of MIT and Harvard, Cambridge
    Massachusetts General Hospital)

  • Karl R. Clauser

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Pei Wang

    (Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai New York)

  • Xianlong Wang

    (Fred Hutchinson Cancer Research Center, Seattle)

  • Jana W. Qiao

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Song Cao

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Francesca Petralia

    (Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai New York)

  • Emily Kawaler

    (New York University Langone Medical Center)

  • Filip Mundt

    (The Broad Institute of MIT and Harvard, Cambridge
    Karolinska Institute)

  • Karsten Krug

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Zhidong Tu

    (Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai New York)

  • Jonathan T. Lei

    (Lester and Sue Smith Breast Center, Baylor College of Medicine)

  • Michael L. Gatza

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill)

  • Matthew Wilkerson

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill)

  • Charles M. Perou

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill)

  • Venkata Yellapantula

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Kuan-lin Huang

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Chenwei Lin

    (Fred Hutchinson Cancer Research Center, Seattle)

  • Michael D. McLellan

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Ping Yan

    (Fred Hutchinson Cancer Research Center, Seattle)

  • Sherri R. Davies

    (Washington University School of Medicine)

  • R. Reid Townsend

    (Washington University School of Medicine)

  • Steven J. Skates

    (Biostatistics Center, Massachusetts General Hospital Cancer Center, Boston)

  • Jing Wang

    (Vanderbilt University School of Medicine)

  • Bing Zhang

    (Vanderbilt University School of Medicine)

  • Christopher R. Kinsinger

    (National Cancer Institute, National Institutes of Health)

  • Mehdi Mesri

    (National Cancer Institute, National Institutes of Health)

  • Henry Rodriguez

    (National Cancer Institute, National Institutes of Health)

  • Li Ding

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Amanda G. Paulovich

    (Fred Hutchinson Cancer Research Center, Seattle)

  • David Fenyö

    (New York University Langone Medical Center)

  • Matthew J. Ellis

    (Lester and Sue Smith Breast Center, Baylor College of Medicine)

  • Steven A. Carr

    (The Broad Institute of MIT and Harvard, Cambridge)

Abstract

Somatic mutations have been extensively characterized in breast cancer, but the effects of these genetic alterations on the proteomic landscape remain poorly understood. Here we describe quantitative mass-spectrometry-based proteomic and phosphoproteomic analyses of 105 genomically annotated breast cancers, of which 77 provided high-quality data. Integrated analyses provided insights into the somatic cancer genome including the consequences of chromosomal loss, such as the 5q deletion characteristic of basal-like breast cancer. Interrogation of the 5q trans-effects against the Library of Integrated Network-based Cellular Signatures, connected loss of CETN3 and SKP1 to elevated expression of epidermal growth factor receptor (EGFR), and SKP1 loss also to increased SRC tyrosine kinase. Global proteomic data confirmed a stromal-enriched group of proteins in addition to basal and luminal clusters, and pathway analysis of the phosphoproteome identified a G-protein-coupled receptor cluster that was not readily identified at the mRNA level. In addition to ERBB2, other amplicon-associated highly phosphorylated kinases were identified, including CDK12, PAK1, PTK2, RIPK2 and TLK2. We demonstrate that proteogenomic analysis of breast cancer elucidates the functional consequences of somatic mutations, narrows candidate nominations for driver genes within large deletions and amplified regions, and identifies therapeutic targets.

Suggested Citation

  • Philipp Mertins & D. R. Mani & Kelly V. Ruggles & Michael A. Gillette & Karl R. Clauser & Pei Wang & Xianlong Wang & Jana W. Qiao & Song Cao & Francesca Petralia & Emily Kawaler & Filip Mundt & Karste, 2016. "Proteogenomics connects somatic mutations to signalling in breast cancer," Nature, Nature, vol. 534(7605), pages 55-62, June.
  • Handle: RePEc:nat:nature:v:534:y:2016:i:7605:d:10.1038_nature18003
    DOI: 10.1038/nature18003
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    Cited by:

    1. Jonathan J. Swietlik & Stefanie Bärthel & Chiara Falcomatà & Diana Fink & Ankit Sinha & Jingyuan Cheng & Stefan Ebner & Peter Landgraf & Daniela C. Dieterich & Henrik Daub & Dieter Saur & Felix Meissn, 2023. "Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Chengxin Dai & Anja Füllgrabe & Julianus Pfeuffer & Elizaveta M. Solovyeva & Jingwen Deng & Pablo Moreno & Selvakumar Kamatchinathan & Deepti Jaiswal Kundu & Nancy George & Silvie Fexova & Björn Grüni, 2021. "A proteomics sample metadata representation for multiomics integration and big data analysis," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    3. Hailiang Zhang & Lin Bai & Xin-Qiang Wu & Xi Tian & Jinwen Feng & Xiaohui Wu & Guo-Hai Shi & Xiaoru Pei & Jiacheng Lyu & Guojian Yang & Yang Liu & Wenhao Xu & Aihetaimujiang Anwaier & Yu Zhu & Da-Long, 2023. "Proteogenomics of clear cell renal cell carcinoma response to tyrosine kinase inhibitor," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    4. Karama Asleh & Gian Luca Negri & Sandra E. Spencer Miko & Shane Colborne & Christopher S. Hughes & Xiu Q. Wang & Dongxia Gao & C. Blake Gilks & Stephen K. L. Chia & Torsten O. Nielsen & Gregg B. Morin, 2022. "Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    5. Jennifer G. Abelin & Erik J. Bergstrom & Keith D. Rivera & Hannah B. Taylor & Susan Klaeger & Charles Xu & Eva K. Verzani & C. Jackson White & Hilina B. Woldemichael & Maya Virshup & Meagan E. Olive &, 2023. "Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    6. Yiqun Zhang & Fengju Chen & Darshan S. Chandrashekar & Sooryanarayana Varambally & Chad J. Creighton, 2022. "Proteogenomic characterization of 2002 human cancers reveals pan-cancer molecular subtypes and associated pathways," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    7. Ling Li & Mingming Niu & Alyssa Erickson & Jie Luo & Kincaid Rowbotham & Kai Guo & He Huang & Yuxin Li & Yi Jiang & Junguk Hur & Chunyu Liu & Junmin Peng & Xusheng Wang, 2022. "SMAP is a pipeline for sample matching in proteogenomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    8. Yuanyuan Qu & Jinwen Feng & Xiaohui Wu & Lin Bai & Wenhao Xu & Lingli Zhu & Yang Liu & Fujiang Xu & Xuan Zhang & Guojian Yang & Jiacheng Lv & Xiuping Chen & Guo-Hai Shi & Hong-Kai Wang & Da-Long Cao &, 2022. "A proteogenomic analysis of clear cell renal cell carcinoma in a Chinese population," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    9. Fengju Chen & Yiqun Zhang & Darshan S. Chandrashekar & Sooryanarayana Varambally & Chad J. Creighton, 2023. "Global impact of somatic structural variation on the cancer proteome," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    10. Shizhong Ke & Fabin Dang & Lin Wang & Jia-Yun Chen & Mandar T. Naik & Wenxue Li & Abhishek Thavamani & Nami Kim & Nandita M. Naik & Huaxiu Sui & Wei Tang & Chenxi Qiu & Kazuhiro Koikawa & Felipe Batal, 2024. "Reciprocal antagonism of PIN1-APC/CCDH1 governs mitotic protein stability and cell cycle entry," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    11. Brian D. Lehmann & Antonio Colaprico & Tiago C. Silva & Jianjiao Chen & Hanbing An & Yuguang Ban & Hanchen Huang & Lily Wang & Jamaal L. James & Justin M. Balko & Paula I. Gonzalez-Ericsson & Melinda , 2021. "Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    12. Isabelle Rose Leo & Luay Aswad & Matthias Stahl & Elena Kunold & Frederik Post & Tom Erkers & Nona Struyf & Georgios Mermelekas & Rubin Narayan Joshi & Eva Gracia-Villacampa & Päivi Östling & Olli P. , 2022. "Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    13. Katrin Stuber & Tobias Schneider & Jill Werner & Michael Kovermann & Andreas Marx & Martin Scheffner, 2021. "Structural and functional consequences of NEDD8 phosphorylation," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    14. Sam Crowl & Ben T. Jordan & Hamza Ahmed & Cynthia X. Ma & Kristen M. Naegle, 2022. "KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    15. Lingling Li & Dongxian Jiang & Hui Liu & Chunmei Guo & Rui Zhao & Qiao Zhang & Chen Xu & Zhaoyu Qin & Jinwen Feng & Yang Liu & Haixing Wang & Weijie Chen & Xue Zhang & Bin Li & Lin Bai & Sha Tian & Su, 2023. "Comprehensive proteogenomic characterization of early duodenal cancer reveals the carcinogenesis tracks of different subtypes," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    16. Brijesh Kumar & Aditi S. Khatpe & Jiang Guanglong & Katie Batic & Poornima Bhat-Nakshatri & Maggie M. Granatir & Rebekah Joann Addison & Megan Szymanski & Lee Ann Baldridge & Constance J. Temm & Georg, 2023. "Stromal heterogeneity may explain increased incidence of metaplastic breast cancer in women of African descent," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    17. Pasquale Simeone & Stefano Tacconi & Serena Longo & Paola Lanuti & Sara Bravaccini & Francesca Pirini & Sara Ravaioli & Luciana Dini & Anna M. Giudetti, 2021. "Expanding Roles of De Novo Lipogenesis in Breast Cancer," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
    18. Yuen Lam Dora Ng & Evelyn Ramberger & Stephan R. Bohl & Anna Dolnik & Christian Steinebach & Theresia Conrad & Sina Müller & Oliver Popp & Miriam Kull & Mohamed Haji & Michael Gütschow & Hartmut Döhne, 2022. "Proteomic profiling reveals CDK6 upregulation as a targetable resistance mechanism for lenalidomide in multiple myeloma," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    19. S. Mouron & M. J. Bueno & A. Lluch & L. Manso & I. Calvo & J. Cortes & J. A. Garcia-Saenz & M. Gil-Gil & N. Martinez-Janez & J. V. Apala & E. Caleiras & Pilar Ximénez-Embún & J. Muñoz & L. Gonzalez-Co, 2022. "Phosphoproteomic analysis of neoadjuvant breast cancer suggests that increased sensitivity to paclitaxel is driven by CDK4 and filamin A," Nature Communications, Nature, vol. 13(1), pages 1-18, December.

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