Nature CommunicationsCancer BiologyPeer-reviewed journal article
Spatial transcriptomic profiling of ovarian clear cell carcinoma reveals heterogeneity in OXPHOS and EMT gradients
Thang Truong LeiD, Duncan Yi-Te WangiD, Simin YaniD, Yi-Cian Chen, Ko-Chen Chen, Tuan Zea TaniD, Pei-Yu ChuiD, Denis Ting-Hsian Chen, Yi-Chia Chiu, Jia-Yuh SheuiD, Sydney Rechie S. Necesario, Chun‐Yao HuangiD, Jieru YeiD, Ya-Ting TaiiD, Hsueh‐Fen JuaniD, Feng‐Chiao TsaiiD, Wei‐Chou LiniD, Ying‐Cheng ChiangiD, Lin-Hung Wei, Ruby Yun‐Ju HuangiD
Abstract
Intratumoral heterogeneity is intrinsically comprised of molecular alterations of tumor cells and extrinsically from interconnections with microenvironments. This study explores the spatial heterogeneity of ovarian clear cell carcinoma (OCCC), a rare cancer with significance to East Asian women. We profile 21 primary-metastatic tumor pairs in a discovery cohort and 16 tumors in two validation cohorts using spatial transcriptomic (ST) platforms. Our integrative analysis revealed an inverse relationship between OXPHOS and inflammation along the EMT gradient. OCCC cells undergoing partial EMT have metabolic shifts and lose LCN2 expression, possibly via concomitant down-regulation of SOX9. Conversely, LCN2 expression correlated with OXPHOS-enriched tumor signature, low EMT, and better outcomes in OCCC. Single-cell ST profiling using CosMx further identifies nine spatially distinct cancer cell populations including the LCN2-high cancer subclone with a high epithelial score. SOX9 induction could partially restore epithelial-ness in LCN2-low cells suggesting that plasticity in OCCC is achieved via transcriptional reprogramming. Our findings provide further insights into epithelial-mesenchymal plasticity and the adaptive interactions between cancer cells and their microenvironments in OCCC.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 2
- FWCI
- 8.78
- Field percentile
- top 2%
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