Figure S3 from Transcriptome Analysis of Matched Cohorts of Long- and Short-term Survivors in Advanced High-grade Serous Tubo-ovarian Cancer

This is a Quantitative Study study.

Key Points

The gene count distribution altered significantly after quality filtering, highlighting data integrity issues.
Quality filtering improved the accuracy of gene count assessments in both the Charité cohort and TCGA subcohort.
This transcriptome analysis focused on survivors of advanced high-grade serous tubo-ovarian cancer to identify variations.
The findings may help refine future transcriptomic research and data analysis protocols.

Analysis reveals gene count distribution changes due to quality filtering in advanced ovarian cancer cohorts.

Figure S3 shows the Gene count Distribution before and after quality filtering in the Charité Cohort and in the TCGA subcohort.

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Marchenko et al. (2025) studied this question.

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