PEDRO ADOLPHO DE MENEZES PACHECO SERIO
Projetos de Pesquisa
Unidades Organizacionais
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina
9 resultados
Resultados de Busca
Agora exibindo 1 - 9 de 9
- Somatic Mutational Profile of High-Grade Serous Ovarian Carcinoma and Triple-Negative Breast Carcinoma in Young and Elderly Patients: Similarities and Divergences(2021) SERIO, Pedro Adolpho de Menezes Pacheco; PEREIRA, Glaucia Fernanda de Lima; KATAYAMA, Maria Lucia Hirata; ROELA, Rosimeire Aparecida; MAISTRO, Simone; FOLGUEIRA, Maria Aparecida Azevedo KoikeBackground: Triple-negative breast cancer (TNBC) and High-Grade Serous Ovarian Cancer (HGSOC) are aggressive malignancies that share similarities; however, different ages of onset may reflect distinct tumor behaviors. Thus, our aim was to compare somatic mutations in potential driver genes in 109 TNBC and 81 HGSOC from young (Y <= 40 years) and elderly (E >= 75 years) patients. Methods: Open access mutational data (WGS or WES) were collected for TNBC and HGSOC patients. Potential driver genes were those that were present in the Cancer Gene Census-CGC, the Candidate Cancer Gene Database-CCGD, or OncoKB and those that were considered pathogenic in variant effect prediction tools. Results: Mutational signature 3 (homologous repair defects) was the only gene that was represented in all four subgroups. The median number of mutated CGCs per sample was similar in HGSOC (Y:3 vs. E:4), but it was higher in elderly TNBC than it was in young TNBC (Y:3 vs. E:6). At least 90% of the samples from TNBC and HGSOC from Y and E patients presented at least one known affected TSG. Besides TP53, which was mutated in 67-83% of the samples, the affected TSG in TP53 wild-type samples were NF1 (yHGSOC and yTNBC), PHF6 (eHGSOC and yTNBC), PTEN, PIK3R1 and ZHFX3 (yTNBC), KMT2C, ARID1B, TBX3, and ATM (eTNBC). A few samples only presented one affected oncogene (but no TSG): KRAS and TSHR in eHGSOC and RAC1 and PREX2 (a regulator of RAC1) in yTNBC. At least 2/3 of the tumors presented mutated oncogenes associated with tumor suppressor genes; the Ras and/or PIK3CA signaling pathways were altered in 15% HGSOC and 20-35% TNBC (Y vs. E); DNA repair genes were mutated in 19-33% of the HGSOC tumors but were more frequently mutated in E-TNBC (56%). However, in HGSOC, 9.5% and 3.3% of the young and elderly patients, respectively, did not present any tumors with an affected CGC nor did 4.65% and none of the young and elderly TNBC patients. Conclusion: Most HGSOC and TNBC from young and elderly patients present an affected TSG, mainly TP53, as well as mutational signature 3; however, a few tumors only present an affected oncogene or no affected cancer-causing genes.
- Somatic mutations in early onset luminal breast cancer(2018) ENCINAS, G.; SABELNYKOVA, V. Y.; LYRA, E. C. de; KATAYAMA, M. L. H.; MAISTRO, S.; VALLE, P. W. M. V.; PEREIRA, G. F. L.; RODRIGUES, L. M.; SERIO, P. A. M. P.; GOUVêA, A. C. R. C. de; GEYER, F. C.; BASSO, R. A.; PASINI, F. S.; DIZ, M. P. E.; BRENTANI, M. M.; GóES, J. C. G. S.; CHAMMAS, R.; BOUTROS, P. C.; FOLGUEIRA, M. A. A. K.Breast cancer arising in very young patients may be biologically distinct; however, these tumors have been less well studied. We characterized a group of very young patients (≤ 35 years) for BRCA germline mutation and for somatic mutations in luminal (HER2 negative) breast cancer. Thirteen of 79 unselected very young patients were BRCA1/2 germline mutation carriers. Of the non-BRCA tumors, eight with luminal subtype (HER2 negative) were submitted for whole exome sequencing and integrated with 29 luminal samples from the COSMIC database or previous literature for analysis. We identified C to T single nucleotide variants (SNVs) as the most common base-change. A median of six candidate driver genes was mutated by SNVs in each sample and the most frequently mutated genes were PIK3CA, GATA3, TP53 and MAP2K4. Potential cancer drivers affected in the present non-BRCA tumors include GRHL2, PIK3AP1, CACNA1E, SEMA6D, SMURF2, RSBN1 and MTHFD2. Sixteen out of 37 luminal tumors (43%) harbored SNVs in DNA repair genes, such as ATR, BAP1, ERCC6, FANCD2, FANCL, MLH1, MUTYH, PALB2, POLD1, POLE, RAD9A, RAD51 and TP53, and 54% presented pathogenic mutations (frameshift or nonsense) in at least one gene involved in gene transcription. The differential biology of luminal early-age onset breast cancer needs a deeper genomic investigation. © Encinas et al.
- Stromal Cell Signature Associated with Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer(2019) KATAYAMA, Maria Lucia Hirata; VIEIRA, Rene Aloisio Costa; ANDRADE, Victor Piana; ROELA, Rosimeire Aparecida; LIMA, Luiz Guilherme Cernaglia Aureliano; KERR, Ligia Maria; CAMPOS, Adriano Polpo de; PEREIRA, Carlos Alberto de Braganca; SERIO, Pedro Adolpho de Menezes Pacheco; ENCINAS, Giselly; MAISTRO, Simone; PETRONI, Matheus de Almeida Leite; BRENTANI, Maria Mitzi; FOLGUEIRA, Maria Aparecida Azevedo KoikeBreast cancer stromal compartment, may influence responsiveness to chemotherapy. Our aim was to detect a stromal cell signature (using a direct approach of microdissected stromal cells) associated with response to neoadjuvant chemotherapy (neoCT) in locally advanced breast cancer (LABC). The tumor samples were collected from 44 patients with LABC (29 estrogen receptor (ER) positive and 15 ER negative) before the start of any treatment. Neoadjuvant chemotherapy consisted of doxorubicin and cyclophosphamide, followed by paclitaxel. Response was defined as downstaging to maximum ypT1a-b/ypN0. The stromal cells, mainly composed of fibroblast and immune cells, were microdissected from fresh frozen tumor samples and gene expression profile was determined using Agilent SurePrint G3 Human Gene Expression microarrays. Expression levels were compared using MeV (MultiExperiment Viewer) software, applying SAM (significance analysis of microarrays). To classify samples according to tumor response, the order of median based on confidence statements (MedOr) was used, and to identify gene sets correlated with the phenotype downstaging, gene set enrichment analysis (GSEA). Nine patients presented disease downstaging. Eleven sequences (FDR 17) were differentially expressed, all of which (except H2AFJ) more expressed in responsive tumors, including PTCHD1 and genes involved in abnormal cytotoxic T cell physiology, TOX, LY75, and SH2D1A. The following four pairs of markers could correctly classify all tumor samples according to response: PTCHD1/PDXDC2P, LOC100506731/NEURL4, SH2D1A/ENST00000478672, and TOX/H2AFJ. Gene sets correlated with tumor downstaging (FDR < 0.01) were mainly involved in immune response or lymphocyte activation, including CD47, LCK, NCK1, CD24, CD3E, ZAP70, FOXP3, and CD74, among others. In locally advanced breast cancer, stromal cells may present specific features of immune response that may be associated with chemotherapy response.
conferenceObject End-to-end training of convolutional network for breast cancer detection in two-view mammography.(2021) PETRINI, Daniel G.; SHIMIZU, Carlos; VALENTE, Gabriel V.; FOLGUEIRA, Guilherme; NOVAES, Guilherme A.; KATAYAMA, Maria L.; SERIO, Pedro; ROELA, Rosimeire A.; TUCUNDUVA, Tatiana C.; FOLGUEIRA, Maria Aparecida A.; KIM, Hae Y.- Cancer driver genes in prostate cancer from young men.(2019) MAISTRO, Simone; XAVIER, Camila dos Santos; SERIO, Pedro Adolpho M. P.; KATAYAMA, Maria Lucia Hirata; ROELA, Rosimeire Aparecida; FOLGUEIRA, Maria A. A. Koike
conferenceObject High-accuracy breast cancer detection in mammography using EfficientNet and end-to-end training.(2021) PETRINI, Daniel G.; SHIMIZU, Carlos; VALENTE, Gabriel V.; FOLGUEIRA, Guilherme; NOVAES, Guilherme A.; KATAYAMA, Maria L.; SERIO, Pedro; ROELA, Rosimeire A.; TUCUNDUVA, Tatiana C.; FOLGUEIRA, Maria Aparecida A.; KIM, Hae Y.- Somatic mutations in triple-negative breast carcinoma and high-grade serous ovarian carcinoma from young women.(2019) SERIO, Pedro Adolpho M. P.; PEREIRA, Glaucia Fernanda Lima; KATAYAMA, Maria Lucia Hirata; MAISTRO, Simone; LOPEZ, Rossana Veronica Mendoza; ROELA, Rosimeire Aparecida; RODRIGUES, Livia Munhoz; FOLGUEIRA, Maria A. A. Koike
- Deep learning algorithm performance in mammography screening: A systematic review and meta-analysis.(2021) ROELA, Rosimeire Aparecida; VALENTE, Gabriel Vansuita; SHIMIZU, Carlos; LOPEZ, Rossana Veronica Mendoza; TUCUNDUVA, Tatiana Cardoso de Mello; FOLGUEIRA, Guilherme Koike; KATAYAMA, Maria Lucia Hirata; PETRINI, Daniel Gustavo Pellacani; NOVAES, Guilherme Apolinario Silva; SERIO, Pedro Adolpho de Menezes Pacheco; MARTA, Guilherme Nader; SAMESHIMA, Koichi; KIM, Hae Yong; FOLGUEIRA, Maria A. A. Koike
bookPart Invasão e metástase(2022) SERIO, Pedro Adolpho de Menezes Pacheco; CHAMMAS, Roger