Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast Cancer.
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| Title: | Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast Cancer. |
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| Authors: | Bassiouni R; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Idowu MO; Department of Pathology, Virginia Commonwealth University, Richmond, Virginia., Gibbs LD; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Robila V; Department of Pathology, Virginia Commonwealth University, Richmond, Virginia., Grizzard PJ; Department of Pathology, Virginia Commonwealth University, Richmond, Virginia., Webb MG; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Song J; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Noriega A; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California., Craig DW; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.; Translational and Clinical Sciences Program, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California., Carpten JD; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.; Translational and Clinical Sciences Program, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California. |
| Source: | Cancer research [Cancer Res] 2023 Jan 04; Vol. 83 (1), pp. 34-48. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 2984705R Publication Model: Print Cited Medium: Internet ISSN: 1538-7445 (Electronic) Linking ISSN: 00085472 NLM ISO Abbreviation: Cancer Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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