AI Article Synopsis

  • Angiogenesis involves the formation of new blood vessels from existing ones and is important for tumor growth, potentially offering new treatment strategies for resistant tumors.
  • Researchers analyzed the expression of angiogenesis-related genes (ARGs) in ovarian cancer, identifying two distinct clusters of patients, with one cluster (ARGcluster B) showing a better prognosis but lower immune cell presence.
  • A scoring system based on these genes indicated that lower risk patients had better outcomes, more effective immunotherapies, and led to the creation of a predictive nomogram to improve understanding of tumor behavior and tailor treatments.

Article Abstract

Angiogenesis is a physiological process, where new blood vessels are formed from pre-existing vessels through the mechanism called sprouting. It plays a significant role in supporting tumor growth and is expected to provide novel therapeutic ideas for treating tumors that are resistant to conventional therapies. We investigated the expression pattern of angiogenesis-related genes (ARGs) in ovarian cancer (OV) from public databases, in which the patients could be classified into two differential ARG clusters. It was observed that patients in ARGcluster B would have a better prognosis but lower immune cell infiltration levels in the tumor microenvironment. Then ARG score was computed based on differentially expressed genes cox analysis, which exhibited a strong correlation to copy number variation, immunophenoscore, tumor mutation load, and chemosensitivity. In addition, according to the median risk score, patients were separated into two risk subgroups, of which the low-risk group had a better prognosis, increased immunogenicity, and stronger immunotherapy efficacy. Furthermore, we constructed a prognostic nomogram and demonstrated its predictive value. These findings help us better understand the role of ARGs in OV and offer new perspectives for clinical prognosis and personalized treatment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464911PMC
http://dx.doi.org/10.3389/fonc.2022.995929DOI Listing

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