Transcriptomic analysis identifies gene candidates in ovarian cancer, suggesting improved classification is needed.
This study demonstrates the feasibility of using RNAseq on FFPE tissue in EOC, while also highlighting challenges of applying microarray-based transcriptomic subtypes to RNAseq data. Transcriptomic analysis identified potential prognostic gene candidates but also highlighted the need to refine classification tools. Further research is essential to improve the molecular classification of EOC, thereby enhancing prognostic accuracy and guiding future therapeutic strategies.
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Kjeldsen et al. (2026) studied this question.
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