Author Correction: Spatial proteomics of ovarian cancer precursors delineates early disease changes and drug targets
Anuar Makhmut, Mihnea P Dragomir, Sonja Fritzsche, Markus Moebs, Wolfgang D Schmitt, Eliane T Taube, Fabian Coscia

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Proteomics Techniques and Applications · Clusterin in disease pathology · Ovarian cancer diagnosis and treatment
Correction to: Molecular Systems Biology (2025). 10.1038/s44320-025-00168-4 | Published online 13 November 2025
The Data Availability section is corrected.
Dataset EV9 legend is corrected.
The data availability section is corrected to reflect the correct dataset identifier.
The correct dataset identifier is corrected from PXD069360.
To: PXD069630.
Dataset EV9 is corrected from:
Student’s t-test results used for differential abundance analysis of PAX8-positive NFTE and PAX8-negative NFTE samples and visualized in the volcano plot figure EV3F.
To: (Changes in bold)
Student’s t-test results used for differential abundance analysis of STICs and PAX8-positive NFTE samples and visualized in the volcano plot figure EV3G.
The HTML has been updated to include a corrected version of the Dataset EV9.
Supplementary information
Updated Dataset EV9
