A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival.
Saved in:
| Title: | A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival. |
|---|---|
| Authors: | Guarischi-Sousa R; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil.; Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada., Monteiro JS; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil., Alecrim LC; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil., Michaloski JS; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil., Cardeal LB; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil., Ferreira EN; International Research Center (CIPE) A.C. Camargo Cancer Center, São Paulo, SP, Brazil., Carraro DM; International Research Center (CIPE) A.C. Camargo Cancer Center, São Paulo, SP, Brazil., Nunes DN; International Research Center (CIPE) A.C. Camargo Cancer Center, São Paulo, SP, Brazil., Dias-Neto E; International Research Center (CIPE) A.C. Camargo Cancer Center, São Paulo, SP, Brazil.; Laboratory of Neurosciences (LIM27), Institute & Department of Psychiatry, University of São Paulo, São Paulo, Brazil., Reimand J; Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada., Boutros PC; Department of Human Genetics, University of California Los Angeles (UCLA), Los Angeles, CA, United States of America., Setubal JC; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil., Giordano RJ; Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil. |
| Source: | PLoS genetics [PLoS Genet] 2019 Dec 17; Vol. 15 (12), pp. e1008482. Date of Electronic Publication: 2019 Dec 17 (Print Publication: 2019). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
