Evidence map›Paper›PMID 40225000›Full record

ArticleTranslational cancer research2025

Comprehensive analysis of molecular characteristics between primary and breast-derived metastatic ovarian cancer.

Junqi Long, Bo Liu, Jinmeng Li, Xinchan Ji, Nian Zhu, Xujie Zhuang, Huina Wang, Lujia Li, Yuhaoran Chen, Xiaohui Li and 1 more

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Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Junqi Long *School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Bo Liu *School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand.
Jinmeng Li *School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Xinchan JiSchool of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Nian ZhuSchool of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Xujie ZhuangSchool of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Huina WangSchool of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Lujia LiSchool of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Yuhaoran ChenSchool of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Xiaohui LiDepartment of Joint Surgery, Tianjin Hospital, Tianjin University, Tianjin, China.
Shuangtao ZhaoDepartment of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-8624-7834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The molecular basis for the disparities between primary ovarian cancer (POC) and ovarian cancer secondary to breast cancer (OCSTBC) remains poorly understood. This study aimed to explore the different characteristics between them through genomic analysis. Methods: We performed differentially expressed genes (DEGs) analysis between POC (n=96) and OCSTBC (n=44) groups with transcriptome data and revealed the enriched biological pathways with Kyoto Encyclopedia of Genes and Genomes (KEGG) and Hallmark gene sets between these two groups. Then, the Microenvironment Cell Populations (MCP)-counter and Cell-type Identification by Estimating Relative Subsets of RNA Transcript (CIBERSORT) algorithms were applied to evaluate the immune infiltration in tumor microenvironment (TME) between them. Finally, we performed the association analysis within single nucleotide polymorphism (SNP) data and obtained some meaningful SNPs and candidate genes for further transcriptomic analysis. Results: We identified a total of 13 cancer-related genes including Conclusions: Our study provides a systematic molecular characteristic between POC and OCSTBC and suggests a pressing need to develop some specific therapeutic strategies in certain types of ovarian cancer.

Indexed as

Breast cancergenesmetastasisprimary ovarian cancer (POC)

Identifiers

PMID40225000
PMCPMC11985203

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