TATIANE KATSUE FURUYA

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Departamento de Radiologia, Faculdade de Medicina
LIM/05 - Laboratório de Poluição Atmosférica Experimental, Hospital das Clínicas, Faculdade de Medicina
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina

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Agora exibindo 1 - 10 de 27
  • conferenceObject
    Correlation of a microRNA expression profile and the prognosis of penile cancer: A prospective study using microarray data analysis
    (2018) FURUYA, Tatiane K.; MURTA, Claudio B.; PONTES JR., Jose; UNO, Miyuki; CARRASCO, Alexis; SICHERO, Laura C.; VILLA, Luisa L.; COELHO, Rafael F.; GUGLIELMETTI, Giuliano B.; CORDEIRO, Mauricio D.; LEITE, Katia R.; SROUGI, Miguel; CHAMMAS, Roger; NAHAS, William C.
  • bookPart
    Modulação da expressão gênica e epigenética
    (2022) SANTOS, Nathalia Leal; NAGAI, Maria Aparecida; FURUYA, Tatiane Katsue
  • article 17 Citação(ões) na Scopus
    Prohibitin Expression Deregulation in Gastric Cancer Is Associated with the 3 ' Untranslated Region 1630 C > T Polymorphism and Copy Number Variation
    (2014) LEAL, Mariana Ferreira; CIRILO, Priscila Daniele Ramos; MAZZOTTI, Tatiane Katsue Furuya; CALCAGNO, Danielle Queiroz; WISNIESKI, Fernanda; DEMACHKI, Samia; MARTINEZ, Margarita Cortes; ASSUMPCAO, Paulo Pimentel; CHAMMAS, Roger; BURBANO, Rommel Rodriguez; SMITH, Marilia Cardoso
    PHB is a reported oncogene and tumor suppressor in gastric cancer. Here, we evaluated whether the PHB copy number and the rs6917 polymorphism affect its expression in gastric cancer. Down-regulation and up-regulation of PHB were observed in the evaluated tumors. Reduced expression was associated with tumor dedifferentiation and cancer initiation. The T allele of the rs6917 polymorphism was associated with reduced PHB mRNA levels. Moreover, the up-regulation of PHB appeared to be regulated by the gain of additional gene copies. Thus, PHB copy number variation and differential expression of the rs6917 polymorphism may play a role in PHB transcriptional regulation.
  • conferenceObject
    Pathogenic Copy Number Variants are Frequently Identified in Children with Short Stature of Unknown Etiology
    (2016) CANTON, Ana; HOMMA, Thais; FURUYA, Tatiane; ROELA, Rosimeire; ARNHOLD, Ivo; JORGE, Alexander
  • conferenceObject
    CORRELATION BETWEEN MICRORNAS AND MRNA EXPRESSION PROFILES WITH THE PROGNOSIS OF CLINICALLY LOCALIZED PENILE CANCER
    (2019) MURTA, Claudio; PONTES JR., Jose; FURUYA, Tatiane; UNO, Miyuki; CARRASCO, Alexis; COELHO, Rafael; GUGLIELMETTI, Giuliano; CORDEIRO, Mauricio; FARAJ, Sheila; LEITE, Katia; SICHERO, Laura; VILLA, Luisa; SROUGI, Miguel; CHAMMAS, Roger; NAHAS, William
  • 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.
  • conferenceObject
    Differentially expressed genes in the lungs of fetuses mice exposed to ambient air pollution
    (2014) MENDES-LOPES, Thais; VERAS, Mariana; COSTA, Natalia; MAZZOTTI, Tatiane; BRITO, Glauber; CHAMMAS, Roger; SALDIVA, Paulo; MAUAD, Thais
  • article 16 Citação(ões) na Scopus
    Deregulated expression of Nucleophosmin 1 in gastric cancer and its clinicopathological implications
    (2014) LEAL, Mariana Ferreira; MAZZOTTI, Tatiane Katsue Furuya; CALCAGNO, Danielle Queiroz; CIRILO, Priscila Daniele Ramos; MARTINEZ, Margarita Cortes; DEMACHKI, Samia; ASSUMPCAO, Paulo Pimentel; CHAMMAS, Roger; BURBANO, Rommel Rodriguez; SMITH, Marilia Cardoso
    Background: The process of gastric carcinogenesis still remains to be elucidated. The identification of genes related to this process may help to reduce mortality rates through early diagnosis and the development of new anticancer therapies. Nucleophosmin 1 (NPM1) acts in ribosome biogenesis, centrosome duplication, maintenance of genomic stability, and embryonic development. Recently, NPM1 has been implicated in the tumorigenesis processes. Here, we evaluated NPM1 gene and protein expression in gastric tumors and in corresponding non-neoplastic gastric samples. Methods: NPM1 protein expression was determined by Western blot in 17 pairs of gastric tumors and corresponding non-neoplastic gastric tissue. The protein immunoreactivity was observed in 12 tumor samples. mRNA expression was evaluated by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in 22 pairs of gastric tumors and in matched non-neoplastic gastric tissue. Results: NPM1 protein expression was significantly reduced in gastric cancer samples compared to matched non-neoplastic gastric samples (P = 0.019). The protein level of NPM1 was reduced at least 1.5-fold in 35% of tumors compared to paired non-neoplastic gastric tissue. However, NPM1 immunoreactivity was detected in neoplastic and non-neoplastic cells, including in intestinal metaplastic, gastritis and inflammatory cells. NPM1 was mainly expressed in nucleus and nucleolus subcellular compartments. The staining intensity and the percentage of immunoreactive cells varied among the studied cases. The NPM1 mRNA level was reduced at least 1.5-fold in 45.5% of samples and increased in 27.3% of samples. An inverse correlation between protein and mRNA expression was detected (r = -0.509, P = 0.037). Intestinal-type gastric cancer presented higher mRNA levels than diffuse-type (P = 0.026). However, reduced NPM1 protein expression was associated with intestinal-type gastric cancer compared to matched non-neoplastic gastric samples (P = 0.018). In addition, tumors from patients with known distant metastasis presented reduced NPM1 protein levels compared to tumors from patients without distant metastasis (P < 0.001). Conclusion: Although the expression of NPM1 is heterogeneous in gastric tumors, our results suggest that NPM1 down-regulation may have a role in gastric carcinogenesis and may help in the selection of anticancer treatment strategies.
  • article 0 Citação(ões) na Scopus
    deltaXpress (ΔXpress): a tool for mapping differentially correlated genes using single-cell qPCR data
    (2023) CARRASCO, Alexis German Murillo; FURUYA, Tatiane Katsue; UNO, Miyuki; JR, Tharcisio Citrangulo Tortelli; CHAMMAS, Roger
    BackgroundHigh-throughput experiments provide deep insight into the molecular biology of different species, but more tools need to be developed to handle this type of data. At the transcriptomics level, quantitative Polymerase Chain Reaction technology (qPCR) can be affordably adapted to produce high-throughput results through a single-cell approach. In addition to comparative expression profiles between groups, single-cell approaches allow us to evaluate and propose new dependency relationships among markers. However, this alternative has not been explored before for large-scale qPCR-based experiments.ResultsHerein, we present deltaXpress (Delta Xpress), a web app for analyzing data from single-cell qPCR experiments using a combination of HTML and R programming languages in a friendly environment. This application uses cycle threshold (Ct) values and categorical information for each sample as input, allowing the best pair of housekeeping genes to be chosen to normalize the expression of target genes. Delta Xpress emulates a bulk analysis by observing differentially expressed genes, but in addition, it allows the discovery of pairwise genes differentially correlated when comparing two experimental conditions. Researchers can download normalized data or use subsequent modules to map differentially correlated genes, perform conventional comparisons between experimental groups, obtain additional information about their genes (gene glossary), and generate ready-to-publication images (600 dots per inch).Conclusions Delta Xpress web app is freely available to non-commercial users at https://alexismurillo.shinyapps.io/dXpress/ and can be used for different experiments in all technologies involving qPCR with at least one housekeeping region.
  • article 63 Citação(ões) na Scopus
    Exploring the Distribution of Genetic Markers of Pharmacogenomics Relevance in Brazilian and Mexican Populations
    (2014) BONIFAZ-PENA, Vania; CONTRERAS, Alejandra V.; STRUCHINER, Claudio Jose; ROELA, Rosimeire A.; FURUYA-MAZZOTTI, Tatiane K.; CHAMMAS, Roger; RANGEL-ESCARENO, Claudia; URIBE-FIGUEROA, Laura; GOMEZ-VAZQUEZ, Maria Jose; MCLEOD, Howard L.; HIDALGO-MIRANDA, Alfredo; PARRA, Esteban J.; FERNANDEZ-LOPEZ, Juan Carlos; SUAREZ-KURTZ, Guilherme
    Studies of pharmacogenomics-related traits are increasingly being performed to identify loci that affect either drug response or susceptibility to adverse drug reactions. However, the effect of the polymorphisms can differ in magnitude or be absent depending on the population being assessed. We used the Affymetrix Drug Metabolizing Enzymes and Transporters (DMET) Plus array to characterize the distribution of polymorphisms of pharmacogenetics and pharmacogenomics (PGx) relevance in two samples from the most populous Latin American countries, Brazil and Mexico. The sample from Brazil included 268 individuals from the southeastern state of Rio de Janeiro, and was stratified into census categories. The sample from Mexico comprised 45 Native American Zapotecas and 224 self-identified Mestizo individuals from 5 states located in geographically distant regions in Mexico. We evaluated the admixture proportions in the Brazilian and Mexican samples using a panel of Ancestry Informative Markers extracted from the DMET array, which was validated with genome-wide data. A substantial variation in ancestral proportions across census categories in Brazil, and geographic regions in Mexico was identified. We evaluated the extent of genetic differentiation (measured as FST values) of the genetic markers of the DMET Plus array between the relevant parental populations. Although the average levels of genetic differentiation are low, there is a long tail of markers showing large frequency differences, including markers located in genes belonging to the Cytochrome P450, Solute Carrier (SLC) and UDP-glucuronyltransferase (UGT) families as well as other genes of PGx relevance such as ABCC8, ADH1A, CHST3, PON1, PPARD, PPARG, and VKORC1. We show how differences in admixture history may have an important impact in the distribution of allele and genotype frequencies at the population level.