Integrated proteomics and scRNA-seq analyses of ovarian cancer reveal molecular subtype-associated cell landscapes and immunotherapy targets
Rong Tan; Ming Wen; Wenqing Yang; Dongdong Zhan; Nairen Zheng; Mingwei Liu; Fang Zhu; Xiaodan Chen · 2024 · British Journal of Cancer
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Epithelial ovarian cancer (EOC) represents the most lethal gynaecological malignancy, yet understanding the connections between its molecular subtypes and their therapeutic implications remains incomplete. METHODS: We conducted mass spectrometry-based proteomics analyses of 154 EOC tumour samples and 29 normal fallopian tubes, and single-cell RNA sequencing (scRNA-seq) analyses of an additional eight EOC tumours to classify proteomic subtypes and assess their cellular ecosystems and clinical significance. The efficacy of identified therapeutic targets was evaluated in patient-deriv
Abstract by Rong Tan; Ming Wen; Wenqing Yang; Dongdong Zhan; Nairen Zheng; Mingwei Liu; Fang Zhu; Xiaodan Chen, British Journal of Cancer (2024) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41416-024-02894-2