4.6 Article

Transcriptome Profiling Reveals Matrisome Alteration as a Key Feature of Ovarian Cancer Progression

期刊

CANCERS
卷 11, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/cancers11101513

关键词

ovarian cancer; fallopian tube; primary tumor; metastasis; gene expression; sequencing; tumor microenvironment; matrisome

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资金

  1. Ovarian Cancer Research Alliance - Liz Tilberis Early Investigator Award
  2. RalphW. and Grace M. Showalter Trust grant
  3. Biomedical Research Grant from Clinical and Translational Science Institute of Indiana University School of Medicine
  4. Ralph W. and Grace M. Showalter Trust grant
  5. Clinical and Translational Science Institute core facility pilot award

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Background: Ovarian cancer is the most lethal gynecologic malignancy. There is a lack of comprehensive investigation of disease initiation and progression, including gene expression changes during early metastatic colonization. Methods: RNA-sequencing (RNA-seq) was done with matched primary tumors and fallopian tubes (n = 8 pairs) as well as matched metastatic and primary tumors (n = 11 pairs) from ovarian cancer patients. Since these are end point analyses, it was combined with RNA-seq using high-grade serous ovarian cancer cells seeded on an organotypic three-dimensional (3D) culture model of the omentum, mimicking early metastasis. This comprehensive approach revealed key changes in gene expression occurring in ovarian cancer initiation and metastasis, including early metastatic colonization. Results: 2987 genes were significantly deregulated in primary tumors compared to fallopian tubes, 845 genes were differentially expressed in metastasis compared to primary tumors and 304 genes were common to both. An assessment of patient metastasis and 3D omental culture model of early metastatic colonization revealed 144 common genes that were altered during early colonization and remain deregulated even in the fully developed metastasis. Deregulation of the matrisome was a key process in early and late metastasis. Conclusion: These findings will help in understanding the key pathways involved in ovarian cancer progression and eventually targeting those pathways for therapeutic interventions.

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