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Integrating a Hundred Machine Learning Combinations and Single- Cell Transcriptomics to Define a KIAA0408-Driven B-Cell Prognostic Signature in Ovarian Cancer

2026-05-29

Abstract excerpt

<title>Abstract</title> <p> Background Ovarian cancer is the most lethal gynecologic malignancy, with most patients exhibiting suboptimal responses to T cell-targeted immune checkpoint inhibitors. Despite increasing attention to B cells in tumor immunity, the role of tumor-infiltrating B cells in ovarian cancer remains incompletely elucidated. Methods Using single-cell RNA sequencing data, we constructed a hig...

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Literature Corpus work: 4c87428f-7eb4-5f5e-894a-468aa3d3c23c
DOI: 10.21203/rs.3.rs-9681346/v1

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