Integrated Single-Cell Whole-Genome Sequencing and Spatial Transcriptomics Reveal Intratumoral Heterogeneity in Ovarian Cancer.

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Bibliographic Details
Title: Integrated Single-Cell Whole-Genome Sequencing and Spatial Transcriptomics Reveal Intratumoral Heterogeneity in Ovarian Cancer.
Authors: Bassiouni R; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, California., Jin Y; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, California., Gibbs LD; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Qian J; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Rotimi SO; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Miller H; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Webb MG; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Rajpara S; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Arias-Stella J 3rd; Department of Pathology, City of Hope Comprehensive Cancer Center, Duarte, California., Craig DW; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, California., Roman L; Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, California., Carpten JD; Department of Integrative Translational Sciences, Beckman Research Institute, City of Hope, Duarte, California.
Source: Cancer research communications [Cancer Res Commun] 2026 May 01; Vol. 6 (5), pp. 1020-1035.
Publication Type: Journal Article
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9918281580506676 Publication Model: Print Cited Medium: Internet ISSN: 2767-9764 (Electronic) Linking ISSN: 27679764 NLM ISO Abbreviation: Cancer Res Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2767-9764
DOI:10.1158/2767-9764.CRC-25-0795