Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer

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. Domingues; Ana Gabriela C. Normando; Tatiane De Rossi; Barbara P. Mello; Nayane A.L. Galdino; Bianca A. Pauletti; Pammela A. Lacerda; André Afonso N. Rodrigues; André Luis M. Casarim; Reydson A. de Lima-Souza; Ingrid I. Damas; Fernanda V. Mariano; Kenneth J. Gollob; Tiago S. Medina; Nilva K. Cervigne; Ana Carolina Prado-Ribeiro; Thaís Bianca Brandão; Luisa L. Villa; Miyuki Uno; Mariana Boroni; Luiz Paulo Kowalski; Wilfredo Alejandro González-Arriagada; Adriana F. Paes Leme

doi:10.1038/s41467-022-34407-1

Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer

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. Domingues, Ana Gabriela C. Normando, Tatiane De Rossi, Barbara P. Mello, Nayane A.L. Galdino, Bianca A. Pauletti, Pammela A. Lacerda, André Afonso N. Rodrigues, André Luis M. Casarim, Reydson A. de Lima-SouzaIngrid I. Damas, Fernanda V. Mariano, Kenneth J. Gollob, Tiago S. Medina, Nilva K. Cervigne, Ana Carolina Prado-Ribeiro, Thaís Bianca Brandão, Luisa L. Villa, Miyuki Uno, Mariana Boroni, Luiz Paulo Kowalski, Wilfredo Alejandro González-Arriagada, Adriana F. Paes Leme^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The poor prognosis of head and neck cancer (HNC) is associated with metastasis within the lymph nodes (LNs). Herein, the proteome of 140 multisite samples from a 59-HNC patient cohort, including primary and matched LN-negative or -positive tissues, saliva, and blood cells, reveals insights into the biology and potential metastasis biomarkers that may assist in clinical decision-making. Protein profiles are strictly associated with immune modulation across datasets, and this provides the basis for investigating immune markers associated with metastasis. The proteome of LN metastatic cells recapitulates the proteome of the primary tumor sites. Conversely, the LN microenvironment proteome highlights the candidate prognostic markers. By integrating prioritized peptide, protein, and transcript levels with machine learning models, we identify nodal metastasis signatures in blood and saliva. We present a proteomic characterization wiring multiple sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures.

Original language	English
Article number	6725
Pages (from-to)	1-24
Number of pages	24
Journal	Nature Communications
Volume	13
Issue number	1
Early online date	7 Nov 2022
DOIs	https://doi.org/10.1038/s41467-022-34407-1
State	Published - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

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Busso-Lopes, A. F., Neves, L. X., Câmara, G. A., Granato, D. C., Pretti, M. A. M., Heberle, H., Patroni, F. M. S., Sá, J., Yokoo, S., Rivera, C., Domingues, R. R., Normando, A. G. C., De Rossi, T., Mello, B. P., Galdino, N. A. L., Pauletti, B. A., Lacerda, P. A., Rodrigues, A. A. N., Casarim, A. L. M., ... Paes Leme, A. F. (2022). Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer. Nature Communications, 13(1), 1-24. Article 6725. https://doi.org/10.1038/s41467-022-34407-1

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title = "Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer",

abstract = "The poor prognosis of head and neck cancer (HNC) is associated with metastasis within the lymph nodes (LNs). Herein, the proteome of 140 multisite samples from a 59-HNC patient cohort, including primary and matched LN-negative or -positive tissues, saliva, and blood cells, reveals insights into the biology and potential metastasis biomarkers that may assist in clinical decision-making. Protein profiles are strictly associated with immune modulation across datasets, and this provides the basis for investigating immune markers associated with metastasis. The proteome of LN metastatic cells recapitulates the proteome of the primary tumor sites. Conversely, the LN microenvironment proteome highlights the candidate prognostic markers. By integrating prioritized peptide, protein, and transcript levels with machine learning models, we identify nodal metastasis signatures in blood and saliva. We present a proteomic characterization wiring multiple sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures.",

author = "Busso-Lopes, {Ariane F.} and Neves, {Leandro X.} and C{\^a}mara, {Guilherme A.} and Granato, {Daniela C.} and Pretti, {Marco Ant{\^o}nio M.} and Henry Heberle and Patroni, {F{\'a}bio M.S.} and Jamile S{\'a} and Sami Yokoo and C{\'e}sar Rivera and Domingues, {Rom{\^e}nia R.} and Normando, {Ana Gabriela C.} and {De Rossi}, Tatiane and Mello, {Barbara P.} and Galdino, {Nayane A.L.} and Pauletti, {Bianca A.} and Lacerda, {Pammela A.} and Rodrigues, {Andr{\'e} Afonso N.} and Casarim, {Andr{\'e} Luis M.} and {de Lima-Souza}, {Reydson A.} and Damas, {Ingrid I.} and Mariano, {Fernanda V.} and Gollob, {Kenneth J.} and Medina, {Tiago S.} and Cervigne, {Nilva K.} and Prado-Ribeiro, {Ana Carolina} and Brand{\~a}o, {Tha{\'i}s Bianca} and Villa, {Luisa L.} and Miyuki Uno and Mariana Boroni and Kowalski, {Luiz Paulo} and Gonz{\'a}lez-Arriagada, {Wilfredo Alejandro} and {Paes Leme}, {Adriana F.}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = dec,

doi = "10.1038/s41467-022-34407-1",

language = "English",

volume = "13",

pages = "1--24",

journal = "Nature Communications",

issn = "2041-1723",

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Busso-Lopes, AF, Neves, LX, Câmara, GA, Granato, DC, Pretti, MAM, Heberle, H, Patroni, FMS, Sá, J, Yokoo, S, Rivera, C, Domingues, RR, Normando, AGC, De Rossi, T, Mello, BP, Galdino, NAL, Pauletti, BA, Lacerda, PA, Rodrigues, AAN, Casarim, ALM, de Lima-Souza, RA, Damas, II, Mariano, FV, Gollob, KJ, Medina, TS, Cervigne, NK, Prado-Ribeiro, AC, Brandão, TB, Villa, LL, Uno, M, Boroni, M, Kowalski, LP, González-Arriagada, WA & Paes Leme, AF 2022, 'Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer', Nature Communications, vol. 13, no. 1, 6725, pp. 1-24. https://doi.org/10.1038/s41467-022-34407-1

TY - JOUR

T1 - Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer

AU - Busso-Lopes, Ariane F.

AU - Neves, Leandro X.

AU - Câmara, Guilherme A.

AU - Granato, Daniela C.

AU - Pretti, Marco Antônio M.

AU - Heberle, Henry

AU - Patroni, Fábio M.S.

AU - Sá, Jamile

AU - Yokoo, Sami

AU - Rivera, César

AU - Domingues, Romênia R.

AU - Normando, Ana Gabriela C.

AU - De Rossi, Tatiane

AU - Mello, Barbara P.

AU - Galdino, Nayane A.L.

AU - Pauletti, Bianca A.

AU - Lacerda, Pammela A.

AU - Rodrigues, André Afonso N.

AU - Casarim, André Luis M.

AU - de Lima-Souza, Reydson A.

AU - Damas, Ingrid I.

AU - Mariano, Fernanda V.

AU - Gollob, Kenneth J.

AU - Medina, Tiago S.

AU - Cervigne, Nilva K.

AU - Prado-Ribeiro, Ana Carolina

AU - Brandão, Thaís Bianca

AU - Villa, Luisa L.

AU - Uno, Miyuki

AU - Boroni, Mariana

AU - Kowalski, Luiz Paulo

AU - González-Arriagada, Wilfredo Alejandro

AU - Paes Leme, Adriana F.

PY - 2022/12

Y1 - 2022/12

N2 - The poor prognosis of head and neck cancer (HNC) is associated with metastasis within the lymph nodes (LNs). Herein, the proteome of 140 multisite samples from a 59-HNC patient cohort, including primary and matched LN-negative or -positive tissues, saliva, and blood cells, reveals insights into the biology and potential metastasis biomarkers that may assist in clinical decision-making. Protein profiles are strictly associated with immune modulation across datasets, and this provides the basis for investigating immune markers associated with metastasis. The proteome of LN metastatic cells recapitulates the proteome of the primary tumor sites. Conversely, the LN microenvironment proteome highlights the candidate prognostic markers. By integrating prioritized peptide, protein, and transcript levels with machine learning models, we identify nodal metastasis signatures in blood and saliva. We present a proteomic characterization wiring multiple sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures.

AB - The poor prognosis of head and neck cancer (HNC) is associated with metastasis within the lymph nodes (LNs). Herein, the proteome of 140 multisite samples from a 59-HNC patient cohort, including primary and matched LN-negative or -positive tissues, saliva, and blood cells, reveals insights into the biology and potential metastasis biomarkers that may assist in clinical decision-making. Protein profiles are strictly associated with immune modulation across datasets, and this provides the basis for investigating immune markers associated with metastasis. The proteome of LN metastatic cells recapitulates the proteome of the primary tumor sites. Conversely, the LN microenvironment proteome highlights the candidate prognostic markers. By integrating prioritized peptide, protein, and transcript levels with machine learning models, we identify nodal metastasis signatures in blood and saliva. We present a proteomic characterization wiring multiple sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures.

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U2 - 10.1038/s41467-022-34407-1

DO - 10.1038/s41467-022-34407-1

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AN - SCOPUS:85141519276

SN - 2041-1723

VL - 13

SP - 1

EP - 24

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 6725

ER -

Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer

Abstract

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