1. Epithelial/mesenchymal heterogeneity of high-grade serous ovarian carcinoma samples correlates with miRNA let-7 levels and predicts tumor growth and metastasis
- Author
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Tise Suzuki, Evgeny Chirshev, Linda Sanderman, Pamela Wat, Kerby C. Oberg, Hanmin Wang, Antonella Bertucci, Juli Unternaehrer, Christine Castañón, Anthony L. Nguyen, Yevgeniya Ioffe, Shannalee R. Martinez, Emmanuel Brito, Saied Mirshahidi, Marcelo Vazquez, and Nozomi Hojo
- Subjects
0301 basic medicine ,Cancer Research ,Epithelial-Mesenchymal Transition ,Mice, SCID ,Biology ,lcsh:RC254-282 ,Metastasis ,Flow cytometry ,03 medical and health sciences ,0302 clinical medicine ,Cancer stem cell ,Cell Movement ,Mice, Inbred NOD ,stem cells ,Cell Line, Tumor ,microRNA ,Genetics ,medicine ,Animals ,Humans ,Neoplasm Invasiveness ,transcriptional regulation ,Epithelial–mesenchymal transition ,high‐grade serous ovarian cancer ,Cell Self Renewal ,Research Articles ,Ovarian Neoplasms ,medicine.diagnostic_test ,Mesenchymal stem cell ,General Medicine ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,epithelial/mesenchymal transition ,Gene Expression Regulation, Neoplastic ,Serous fluid ,MicroRNAs ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Cancer research ,Neoplastic Stem Cells ,Molecular Medicine ,Female ,Stem cell ,Neoplasms, Cystic, Mucinous, and Serous ,Research Article ,orthotopic patient‐derived xenografts - Abstract
We studied ovarian cancer patient‐derived cells to determine their epithelial vs. mesenchymal phenotype, and their stemness, migration, invasion, and tumor growth characteristics. Surprisingly, stemness could be dissociated from invasiveness. We observed that lower let‐7 levels are associated with the epithelial state and stemness, reliably predict self‐renewal and tumor burden in mice, and could contribute to prognosis calculations., Patient‐derived samples present an advantage over current cell line models of high‐grade serous ovarian cancer (HGSOC) that are not always reliable and phenotypically faithful models of in vivo HGSOC. To improve upon cell line models of HGSOC, we set out to characterize a panel of patient‐derived cells and determine their epithelial and mesenchymal characteristics. We analyzed RNA and protein expression levels in patient‐derived xenograft (PDX) models of HGSOC, and functionally characterized these models using flow cytometry, wound healing assays, invasion assays, and spheroid cultures. Besides in vitro work, we also evaluated the growth characteristics of PDX in vivo (orthotopic PDX). We found that all samples had hybrid characteristics, covering a spectrum from an epithelial‐to‐mesenchymal state. Samples with a stronger epithelial phenotype were more active in self‐renewal assays and more tumorigenic in orthotopic xenograft models as compared to samples with a stronger mesenchymal phenotype, which were more migratory and invasive. Additionally, we observed an inverse association between microRNA let‐7 (lethal‐7) expression and stemness, consistent with the loss of let‐7 being an important component of the cancer stem cell phenotype. We observed that lower let‐7 levels were associated with the epithelial state and a lower epithelial mesenchymal transition (EMT) score, more efficient spheroid and tumor formation, and increased sensitivity to platinum‐based chemotherapy. Surprisingly, in these HGSOC cells, stemness could be dissociated from invasiveness: Cells with lower let‐7 levels were more tumorigenic, but less migratory, and with a lower EMT score, than those with higher let‐7 levels. We conclude that let‐7 expression and epithelial/mesenchymal state are valuable predictors of HGSOC proliferation, in vitro self‐renewal, and tumor burden in vivo.
- Published
- 2020