Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression is a research paper published in Cancer Cell (2025). On theSindex it has a DataRank of 0.474. It has been cited 16 times, with 15 citing works in its 1-hop citation network.
Epithelial serous borderline tumors (SBT) are non-invasive neoplastic ovarian lesions that may recur as chemo-resistant low-grade serous cancer (LGSC). While genetic alterations suggest a common origin, the transition from SBT to LGSC remains poorly understood. Here, we integrate cell-type resolved spatial proteomics and transcriptomics to elucidate the evolution from SBT to LGSC and its corresponding metastases in both stroma and tumor. The transition occurs within the epithelial compartment through an intermediary stage with micropapillary features, during which LGSC overexpresses c-Met and several brain-specific proteins. Within the tumor microenvironment, interconnectivity between cancer and stromal cells, along with enzymes degrading a packed extracellular matrix, suggests functional collaboration among various cell types. We functionally validated 16 drug targets identified through integrated spatial transcriptomics and proteomics. Combined treatment targeting CDK4/6 (milciclib) and FOLR1 (mirvetuximab) achieved significant tumor reduction in vivo, representing a promising therapeutic strategy for LGSC.
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Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.0495
From 5 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 90% comes from its base citations and 10% from the citation network (5 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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