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Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer

Author

Listed:
  • Carolina Moretto Carnielli

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Carolina Carneiro Soares Macedo

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM)
    Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP))

  • Tatiane De Rossi

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Daniela Campos Granato

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • César Rivera

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM)
    Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP))

  • Romênia Ramos Domingues

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Bianca Alves Pauletti

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Sami Yokoo

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Henry Heberle

    (Universidade de São Paulo (USP))

  • Ariane Fidelis Busso-Lopes

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Nilva Karla Cervigne

    (Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP)
    Faculdade de Medicina de Jundiaí (FMJ))

  • Iris Sawazaki-Calone

    (Universidade Estadual do Oeste do Paraná)

  • Gabriela Vaz Meirelles

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

  • Fábio Albuquerque Marchi

    (Centro Internacional de Pesquisa-CIPE - A.C.Camargo Cancer Center and Instituto Nacional de Ciência e Tecnologia em Oncogenômica (INCiTO))

  • Guilherme Pimentel Telles

    (Instituto de Computação, Universidade Estadual de Campinas (UNICAMP))

  • Rosane Minghim

    (Universidade de São Paulo (USP))

  • Ana Carolina Prado Ribeiro

    (Instituto do Câncer do Estado de São Paulo, ICESP-FMUSP
    Universidade Brasil)

  • Thaís Bianca Brandão

    (Instituto do Câncer do Estado de São Paulo, ICESP-FMUSP)

  • Gilberto Castro

    (Instituto do Câncer do Estado de São Paulo, Octavio Frias de Oliveira, ICESP)

  • Wilfredo Alejandro González-Arriagada

    (Universidad de Valparaíso)

  • Alexandre Gomes

    (Waters Corporation)

  • Fabio Penteado

    (Waters Corporation)

  • Alan Roger Santos-Silva

    (Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP))

  • Márcio Ajudarte Lopes

    (Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP))

  • Priscila Campioni Rodrigues

    (University of Oulu
    Oulu University Hospital)

  • Elias Sundquist

    (University of Oulu
    Oulu University Hospital)

  • Tuula Salo

    (University of Oulu
    Oulu University Hospital
    University of Helsinki)

  • Sabrina Daniela Silva

    (McGill University
    McGill University)

  • Moulay A. Alaoui-Jamali

    (McGill University)

  • Edgard Graner

    (Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP))

  • Jay W. Fox

    (University of Virginia)

  • Ricardo Della Coletta

    (Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (UNICAMP))

  • Adriana Franco Paes Leme

    (Centro Nacional de Pesquisa em Energia e Materiais (CNPEM))

Abstract

Different regions of oral squamous cell carcinoma (OSCC) have particular histopathological and molecular characteristics limiting the standard tumor−node−metastasis prognosis classification. Therefore, defining biological signatures that allow assessing the prognostic outcomes for OSCC patients would be of great clinical significance. Using histopathology-guided discovery proteomics, we analyze neoplastic islands and stroma from the invasive tumor front (ITF) and inner tumor to identify differentially expressed proteins. Potential signature proteins are prioritized and further investigated by immunohistochemistry (IHC) and targeted proteomics. IHC indicates low expression of cystatin-B in neoplastic islands from the ITF as an independent marker for local recurrence. Targeted proteomics analysis of the prioritized proteins in saliva, combined with machine-learning methods, highlights a peptide-based signature as the most powerful predictor to distinguish patients with and without lymph node metastasis. In summary, we identify a robust signature, which may enhance prognostic decisions in OSCC and better guide treatment to reduce tumor recurrence or lymph node metastasis.

Suggested Citation

  • Carolina Moretto Carnielli & Carolina Carneiro Soares Macedo & Tatiane De Rossi & Daniela Campos Granato & César Rivera & Romênia Ramos Domingues & Bianca Alves Pauletti & Sami Yokoo & Henry Heberle &, 2018. "Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05696-2
    DOI: 10.1038/s41467-018-05696-2
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    Cited by:

    1. Ariane F. Busso-Lopes & Leandro X. Neves & Guilherme A. Câmara & Daniela C. Granato & Marco Antônio M. Pretti & Henry Heberle & Fábio M. S. Patroni & Jamile Sá & Sami Yokoo & César Rivera & Romênia R., 2022. "Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer," Nature Communications, Nature, vol. 13(1), pages 1-24, December.

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