DIFFERENTIAL EXPRESSION ANALYSIS IN CLEAR CELL OVARIAN CANCER DATA

Douglas Nunes da Silva; Epitácio Dantas de Farias Filho; Rodrigo J. Siqueira Dalmolin

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Trabalho

Título do Trabalho

DIFFERENTIAL EXPRESSION ANALYSIS IN CLEAR CELL OVARIAN CANCER DATA

Autores

Douglas Nunes da Silva
Epitácio Dantas de Farias Filho
Rodrigo J. Siqueira Dalmolin

Modalidade

Poster

Área temática

RNA and transcriptomics

Data de Publicação

02/10/2025

País da Publicação

Brazil | Brasil

Idioma da Publicação

pt-BR

Página do Trabalho

https://www.even3.com.br/anais/xmeeting-2025/1126144-differential-expression-analysis-in-clear-cell-ovarian-cancer-data

ISBN

978-65-272-1722-0

Palavras-Chave

Keywords: Ovarian Cancer, Clear Cell Carcinoma, Gene Expression, RNA-seq, Biomarkers

Resumo

Clear cell ovarian carcinoma (OCCC) is a rare and aggressive histological subtype of epithelial ovarian cancer, accounting for approximately 5 to 10% of cases of this neoplasm. It is characterized by a highly chemoresistant phenotype, highlighting the urgent need to identify more effective therapeutic approaches. Unlike other ovarian cancer subtypes, OCCC presents a distinct molecular profile, frequently associated with mutations in the ARID1A, PIK3CA, and PTEN genes, as well as alterations in the Hippo pathway and HIF-1α signaling, suggesting specific mechanisms of oncogenesis and tumor progression. The scarcity of effective therapies for this subtype underscores the need for a deeper understanding of its molecular biology in order to enable the development of new therapeutic strategies. In this study, we performed a differential expression analysis using RNA-seq data from the Genotype-Tissue Expression (GTEx) project as controls and from patients with gene expression profiles of epithelial ovarian cancer (PRJNA783540), both available in public databases. Data processing included normalization, filtering, and statistical analysis using the DESeq2 package, considering an adjusted p-value threshold of < 0.05. Preliminary results showed that differentially expressed mRNAs are linked to pathways involved in hypoxia response, chromosome segregation, xenobiotic response, and tissue metabolism. On the other hand, lncRNAs were mainly associated with the regulation of lipase and phospholipase activity. These findings suggest a complex molecular profile in OCCC, where hypoxia promotes cell survival and treatment resistance, xenobiotic response emerges as a key mechanism of chemotherapy resistance, and lncRNAs regulating lipases and phospholipases indicate a dependence on lipid metabolism for tumor maintenance. These combined factors make OCCC a particularly challenging cancer, but also open avenues for new therapeutic strategies, including the modulation of lipid metabolism and resistance mechanisms. Experimental validation and correlation with clinical data will be essential to elucidate the impact of these molecular signatures on disease progression and the development of personalized treatments for patients with OCCC.

Título do Evento: 21º Congresso Brasileiro de Bioinformática: X Meeting 2025
Cidade do Evento: João Pessoa
Título dos Anais do Evento: Proceedings of the 21st Brazilian Congress on Bioinformatics (X-Meeting)
Nome da Editora: Even3
Meio de Divulgação: Meio Digital

Como citar

SILVA, Douglas Nunes da; FILHO, Epitácio Dantas de Farias; DALMOLIN, Rodrigo J. Siqueira. DIFFERENTIAL EXPRESSION ANALYSIS IN CLEAR CELL OVARIAN CANCER DATA.. In: Proceedings of the 21st Brazilian Congress on Bioinformatics (X-Meeting). Anais...João Pessoa(PB) Centro Universitário - UNIESP, 2025. Disponível em: https//www.even3.com.br/anais/xmeeting-2025/1126144-DIFFERENTIAL-EXPRESSION-ANALYSIS-IN-CLEAR-CELL-OVARIAN-CANCER-DATA. Acesso em: 11/03/2026