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A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival

A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival

Rodrigo Guarischi-Sousa ^1,2, Jhonatas S Monteiro ¹, Lilian C Alecrim ¹, Jussara S Michaloski ¹, Laura B Cardeal ¹, Elisa N Ferreira ³, Dirce M Carraro ³, Diana N Nunes ³, Emmanuel Dias-Neto ^3,4, Jüri Reimand ^2,5, Paul C Boutros ⁶, João C Setubal ¹, Ricardo J Giordano ¹

Rodrigo Guarischi-Sousa ^1,2, Jhonatas S Monteiro ¹, Lilian C Alecrim ¹

¹Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil.
²Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
³International Research Center (CIPE) A.C. Camargo Cancer Center, São Paulo, SP, Brazil.
⁴Laboratory of Neurosciences (LIM27), Institute & Department of Psychiatry, University of São Paulo, São Paulo, Brazil.
⁵Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
⁶Department of Human Genetics, University of California Los Angeles (UCLA), Los Angeles, CA, United States of America.

⁰Biochemistry Department, Institute of Chemistry, University of São Paulo, São Paulo, Brazil.

Plos Genetics +

|

December 18, 2019

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View abstract on PubMed

Summary

This summary is machine-generated.

Researchers identified distinct genes in pathological angiogenesis using a mouse model. These genes predict breast cancer patient survival, offering new therapeutic strategies for angiogenesis-dependent diseases.

Area Of Science

Molecular Biology
Oncology
Ophthalmology

Background

Physiological and pathological angiogenesis involve different genes and molecules.
Understanding pathological angiogenesis is crucial for treating related diseases.

Purpose Of The Study

To identify genes and pathways specific to pathological angiogenesis.
To explore the utility of these genes in cancer patient stratification.

Main Methods

Transcriptome analysis of mouse retina in oxygen-induced retinopathy (OIR) model.
Identification of differentially expressed genes between normal and OIR retinas.
Validation of gene signature in an independent breast cancer patient cohort.

Main Results

153 genes were identified as differentially expressed in the OIR mouse retina.
These genes form a molecular signature relevant to angiogenesis-dependent processes like cancer.
The identified gene signature significantly predicted breast cancer patient survival.

Conclusions

The OIR model effectively reveals key genes in pathological angiogenesis.
These findings suggest potential applications in stratifying cancer patients for targeted therapies.
The study highlights the link between retinal angiogenesis and cancer progression.

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