Tumor-infiltrating B cell-related lncRNA crosstalk reveals clinical outcomes and tumor immune microenvironment in ovarian cancer based on single-cell and bulk RNA-sequencing
- Yi Huang 1,2, Zhongxuan Gui 2,3, Muyun Wu 4, Mengmeng Zhang 2,3, Yue Jiang 2,3, Qiaoqiao Ding 2,5, Jinping Yang 2,3, Yingquan Ye 2,3, Mei Zhang 2,5,3
- Yi Huang 1,2, Zhongxuan Gui 2,3, Muyun Wu 4
- 1Wuhu Hospital of Traditional Chinese Medicine, Wuhu, 241000, China.
- 2Oncology Department of Integrated Traditional Chinese and Western Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
- 3The Traditnional and Western Medicine (TCM)-Integrated Cancer Center of Anhui Medical University, Hefei, 230022, China.
- 4Internal Medicine Department of Oncology, Anhui Wannan Rehabilitation Hospital (The Fifth People's Hospital of Wuhu), Wuhu, 241000, China.
- 5Graduate School of Anhui University of Chinese Medicine, Hefei, 230022, China.
- 0Wuhu Hospital of Traditional Chinese Medicine, Wuhu, 241000, China.
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View abstract on PubMed
Summary
This summary is machine-generated.A novel B cell-related long non-coding RNA scoring system (BCRLss) accurately predicts ovarian cancer prognosis and immune landscape. This tool aids in selecting immunotherapy targets and personalizing treatment strategies for ovarian cancer patients.
Area Of Science
- Oncology
- Immunology
- Genomics
- Bioinformatics
Background
- The tumor immune microenvironment (TIME) is crucial for ovarian cancer (OC) prognosis.
- Long non-coding RNAs (lncRNAs) regulate immune responses and tumor progression in OC.
- B cell-related lncRNAs (BCRLs) are emerging targets, but their role in OC is unclear.
Purpose Of The Study
- To identify and develop a prognostic scoring system based on B cell-related lncRNAs (BCRLs) for ovarian cancer (OC).
- To investigate the association of this scoring system with the tumor immune microenvironment (TIME) and drug sensitivity.
- To validate the prognostic accuracy and explore the therapeutic potential of identified BCRLIs.
Main Methods
- Utilized single-cell and bulk RNA-sequencing data from TCGA and ICGC databases for ovarian serous cystadenocarcinoma (OV).
- Identified B cell-related lncRNAs (BCRLs) and developed a prognostic scoring system (BCRLss) using COX survival analysis and LASSO regression.
- Performed functional enrichment, TIME, and drug sensitivity analyses, with <i>in vitro</i> validation of a key lncRNA (LINC01150).
Main Results
- The BCRLss, comprising six BCRLIs, accurately predicted prognosis in both training and validation cohorts, with a low-risk group showing improved survival.
- BCRLss correlated with tumor immune pathways, indicating a more robust immune response in the low-risk group.
- <i>In vitro</i> validation confirmed LINC01150's role in inhibiting OC cell proliferation, invasion, and migration.
Conclusions
- The B cell-related lncRNA scoring system (BCRLss) is a reliable prognostic tool for ovarian cancer (OC).
- BCRLss effectively predicts clinical outcomes and the immune landscape, guiding immunotherapy target selection.
- This scoring system supports the development of personalized treatment strategies for OC patients.
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