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Adipocyte-like signature in ovarian cancer minimal residual disease identifies metabolic vulnerabilities of tumor-initiating cells
Mara Artibani, Kenta Masuda, Zhiyuan Hu, Pascal C. Rauher, Garry Mallett, Nina Wietek, Matteo Morotti, Kay Chong, Mohammad KaramiNejadRanjbar, Christos E. Zois, Sunanda Dhar, Salma El-Sahhar, Leticia Campo, Sarah P. Blagden, Stephen Damato, Pubudu N. Pathiraja, Shibani Nicum, Fergus Gleeson, Alexandros Laios, Abdulkhaliq Alsaadi, Laura Santana Gonzalez, Takeshi Motohara, Ashwag Albukhari, Zhen Lu, Robert C. Bast Jr., Adrian L. Harris, Christer S. Ejsing, Robin W. Klemm, Christopher Yau, Tatjana Sauka-Spengler, Ahmed Ashour Ahmed
Mara Artibani, Kenta Masuda, Zhiyuan Hu, Pascal C. Rauher, Garry Mallett, Nina Wietek, Matteo Morotti, Kay Chong, Mohammad KaramiNejadRanjbar, Christos E. Zois, Sunanda Dhar, Salma El-Sahhar, Leticia Campo, Sarah P. Blagden, Stephen Damato, Pubudu N. Pathiraja, Shibani Nicum, Fergus Gleeson, Alexandros Laios, Abdulkhaliq Alsaadi, Laura Santana Gonzalez, Takeshi Motohara, Ashwag Albukhari, Zhen Lu, Robert C. Bast Jr., Adrian L. Harris, Christer S. Ejsing, Robin W. Klemm, Christopher Yau, Tatjana Sauka-Spengler, Ahmed Ashour Ahmed
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Research Article Oncology

Adipocyte-like signature in ovarian cancer minimal residual disease identifies metabolic vulnerabilities of tumor-initiating cells

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Abstract

Similar to tumor-initiating cells (TICs), minimal residual disease (MRD) is capable of reinitiating tumors and causing recurrence. However, the molecular characteristics of solid tumor MRD cells and drivers of their survival have remained elusive. Here we performed dense multiregion transcriptomics analysis of paired biopsies from 17 ovarian cancer patients before and after chemotherapy. We reveal that while MRD cells share important molecular signatures with TICs, they are also characterized by an adipocyte-like gene expression signature and a portion of them had undergone epithelial-mesenchymal transition (EMT). In a cell culture MRD model, MRD-mimic cells showed the same phenotype and were dependent on fatty acid oxidation (FAO) for survival and resistance to cytotoxic agents. These findings identify EMT and FAO as attractive targets to eradicate MRD in ovarian cancer and make a compelling case for the further testing of FAO inhibitors in treating MRD.

Authors

Mara Artibani, Kenta Masuda, Zhiyuan Hu, Pascal C. Rauher, Garry Mallett, Nina Wietek, Matteo Morotti, Kay Chong, Mohammad KaramiNejadRanjbar, Christos E. Zois, Sunanda Dhar, Salma El-Sahhar, Leticia Campo, Sarah P. Blagden, Stephen Damato, Pubudu N. Pathiraja, Shibani Nicum, Fergus Gleeson, Alexandros Laios, Abdulkhaliq Alsaadi, Laura Santana Gonzalez, Takeshi Motohara, Ashwag Albukhari, Zhen Lu, Robert C. Bast Jr., Adrian L. Harris, Christer S. Ejsing, Robin W. Klemm, Christopher Yau, Tatjana Sauka-Spengler, Ahmed Ashour Ahmed

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Figure 5

HGSOC MRD cells display EMT features.

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HGSOC MRD cells display EMT features.
(A) Bar plot shows the EMT score o...
(A) Bar plot shows the EMT score of all the postchemo OXO-PCR samples calculated using our deconvolution-based classifier (Methods). (B) Stacked bar plot visualizes the deconvolution result of 44 bulk and LCM tumor samples collected from 6 patients (3 poor responders and 3 exceptional responders). Colors of the bars denote the 5 cell states as shown in the legend. (C) The diagram presents alternative models to explain the adipocyte-like state observed in MRD. The lipid metabolism signature could be selected upon treatment (top left, bottom right), with either the coexistence of lipid-high and EMT-high phenotypes in the same cells (bottom right) or not (top left) before chemotherapy. Alternatively, the adipocyte-like state may be induced by chemotherapy (top right, bottom left), and the EMT features may be already present before treatment (top right) or not (bottom left) before chemotherapy. The different colors are used to represent tumor heterogeneity and possible clonal populations. (D) Violin plots show the expression levels of lipid metabolism genes in the EMT-high samples compared with the EMT-low ones across the TCGA and AOCS data sets (P values were computed by limma voom).

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