MIYUKI UNO

(Fonte: Lattes)
Índice h a partir de 2011
14
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina

Resultados de Busca

Agora exibindo 1 - 6 de 6
  • article 14 Citação(ões) na Scopus
    Plasma Exosome-Derived microRNAs as Potential Diagnostic and Prognostic Biomarkers in Brazilian Pancreatic Cancer Patients
    (2022) MARIN, Anelis Maria; MATTAR, Sibelle Botogosque; AMATUZZI, Rafaela Ferreira; CHAMMAS, Roger; UNO, Miyuki; ZANETTE, Dalila Luciola; AOKI, Mateus Nobrega
    Pancreatic cancer represents one of the leading causes of oncological death worldwide. A combination of pancreatic cancer aggressiveness and late diagnosis are key factors leading to a low survival rate and treatment inefficiency, and early diagnosis is pursued as a critical factor for pancreatic cancer. In this context, plasma microRNAs are emerging as promising players due to their non-invasive and practical usage in oncological diagnosis and prognosis. Recent studies have showed some miRNAs associated with pancreatic cancer subtypes, or with stages of the disease. Here we demonstrate plasma exosome-derived microRNA expression in pancreatic cancer patients and healthy individuals from Brazilian patients. Using plasma of 65 pancreatic cancer patients and 78 healthy controls, plasma exosomes were isolated and miRNAs miR-27b, miR-125b-3p, miR-122-5p, miR-21-5p, miR-221-3p, miR-19b, and miR-205-5p were quantified by RT-qPCR. We found that miR-125b-3p, miR-122-5p, and miR-205-5p were statistically overexpressed in the plasma exosomes of pancreatic cancer patients compared to healthy controls. Moreover, miR-205-5p was significantly overexpressed in European descendants, in patients with tumor progression and in those who died from the disease, and diagnostic ability by ROC curve was 0.86. Therefore, we demonstrate that these three microRNAs are potential plasma exosome-derived non-invasive biomarkers for the diagnosis and prognosis of Brazilian pancreatic cancer, demonstrating the importance of different populations and epidemiological bias.
  • article 3 Citação(ões) na Scopus
    miRNA and mRNA Expression Profiles Associated with Lymph Node Metastasis and Prognosis in Penile Carcinoma
    (2022) MURTA, Claudio B.; FURUYA, Tatiane K.; CARRASCO, Alexis G. M.; UNO, Miyuki; SICHERO, Laura; VILLA, Luisa L.; FARAJ, Sheila F.; COELHO, Rafael F.; GUGLIELMETTI, Giuliano B.; CORDEIRO, Mauricio D.; LEITE, Katia R. M.; NAHAS, William C.; CHAMMAS, Roger; PONTES JR., Jose
    Penile cancer (PeC) is a rare disease, and no prognostic biomarkers have been adopted in clinical practice yet. The objective of the present study was to identify differentially expressed miRNAs (DEmiRs) and genes (DEGs) as potential biomarkers for lymph node metastasis and other prognostic factors in PeC. Tumor samples were prospectively obtained from 24 patients with squamous cell carcinoma of the penis. miRNA microarray analysis was performed comparing tumors from patients with inguinal lymph node metastatic and localized disease, and the results were validated by qRT-PCR. Eighty-three gene expression levels were also compared between groups through qRT-PCR. Moreover, DEmiRs and DEGs expression levels were correlated with clinicopathological variables, cancer-specific (CSS), and overall survival (OS). TAC software, TM4 MeV 4.9 software, SPSS v.25.0, and R software v.4.0.2 were used for statistical analyses. We identified 21 DEmiRs in microarray analysis, and seven were selected for validation. miR-744-5p and miR-421 were overexpressed in tissue samples of metastatic patients, and high expression of miR-421 was also associated with lower OS. We found seven DEGs (CCND1, EGFR, ENTPD5, HOXA10, IGF1R, MYC, and SNAI2) related to metastatic disease. A significant association was found between increased MMP1 expression and tumor size, grade, pathological T stage, and perineural invasion. Other genes were also associated with clinicopathological variables, CSS and OS. Finally, we found changes in mRNA-miRNA regulation that contribute to understanding the mechanisms involved in tumor progression. Therefore, we identified miRNA and mRNA expression profiles as potential biomarkers associated with lymph node metastasis and prognosis in PeC, in addition to disruption in mRNA-miRNA regulation during disease progression.
  • article 3 Citação(ões) na Scopus
    Connecting multiple microenvironment proteomes uncovers the biology in head and neck cancer
    (2022) BUSSO-LOPES, Ariane F.; NEVES, Leandro X.; CAMARA, Guilherme A.; GRANATO, Daniela C.; PRETTI, Marco Antonio M.; HEBERLE, Henry; PATRONI, Fabio M. S.; SA, Jamile; YOKOO, Sami; RIVERA, Cesar; DOMINGUES, Romenia R.; NORMANDO, Ana Gabriela C.; ROSSI, Tatiane De; MELLO, Barbara P.; GALDINO, Nayane A. L.; PAULETTI, Bianca A.; LACERDA, Pammela A.; RODRIGUES, Andre Afonso N.; CASARIM, Andre Luis M.; LIMA-SOUZA, Reydson A. De; DAMAS, Ingrid I.; V, Fernanda Mariano; GOLLOB, Kenneth J.; MEDINA, Tiago S.; CERVIGNE, Nilva K.; PRADO-RIBEIRO, Ana Carolina; BRANDAO, Thais Bianca; VILLA, Luisa L.; UNO, Miyuki; BORONI, Mariana; KOWALSKI, Luiz Paulo; GONZALEZ-ARRIAGADA, Wilfredo Alejandro; LEME, Adriana F. Paes
    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. The biological understanding of poor prognosis associated with lymph node metastasis in head and neck cancer (HNC) remains crucial. Here, a proteomic characterisation of 140 multisite samples from a 59-HNC patient cohort and machine learning reveals potential biomarkers and metastasis related signatures.
  • bookPart
    Biomarcadores
    (2022) CARRASCO, Alexis German Murillo; UNO, Miyuki
  • conferenceObject
    Prospection of markers associated with proteolytic processing in biological samples of patients with melanoma
    (2022) SALARDANI, M.; CARDILI, L.; UNO, M.; CHAMMAS, R.; ZELANIS, A.
  • conferenceObject
    Correlation of the expression of microRNA and their predicted targets with prognosis and mortality of penile squamous cell carcinoma
    (2022) MURTA, C. B.; FURUYA, T. K.; UNO, M.; CARRASCO, A. G. M.; SICHERO, L.; VILLA, L. L.; FARAJ, S. F.; COELHO, R. F.; GUGLIELMETTI, G. B.; CORDEIRO, M. D.; LEITE, K. R. M.; NAHAS, W. C.; CHAMMAS, R.; PONTES, Jr J.