Literature DB >> 31804230

Biomarkers that may predict response to immunotherapy in ovarian malignancies.

Curtis D Chin1, Charlene M Fares2, Gottfried E Konecny2, Jianyu Rao1.   

Abstract

PURPOSE OF REVIEW: Immune checkpoint blockade (ICB) is a promising area of cancer therapeutic research. Therapies targeting the programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) mechanism of tumor immune evasion have resulted in durable responses in many difficult-to-treat tumor types. While these inhibitors are being actively investigated in clinical trials for ovarian cancer, most patients fail to respond to initial treatment with immune therapy. This review focuses on biomarkers for predicting response to treatment, and discusses clinical trials using ICB for recurrent ovarian cancer. RECENT
FINDINGS: While PD-L1 detection by immunohistochemistry (IHC) is approved as a companion or complementary diagnostic in some cancers, there are many limitations with its use as a predictive marker. Recent research has explored biomarkers beyond PD-L1 that assess for somatic mutations, immune cell infiltrate, and gene signatures.
SUMMARY: With improved understanding of the tumor microenvironment and genomic classifications of ovarian tumors, new diagnostics and biomarkers that supplement conventional IHC may help predict response to therapy.

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Year:  2020        PMID: 31804230     DOI: 10.1097/GCO.0000000000000596

Source DB:  PubMed          Journal:  Curr Opin Obstet Gynecol        ISSN: 1040-872X            Impact factor:   1.927


  2 in total

Review 1.  Epithelial Ovarian Cancer and the Immune System: Biology, Interactions, Challenges and Potential Advances for Immunotherapy.

Authors:  Anne M Macpherson; Simon C Barry; Carmela Ricciardelli; Martin K Oehler
Journal:  J Clin Med       Date:  2020-09-14       Impact factor: 4.241

2.  Effects of adiponectin, plasma D-dimer, inflammation and tumor markers on clinical characteristics and prognosis of patients with ovarian cancer.

Authors:  Hui Li; Lulu Sun; Lili Chen; Zhihui Kang; Guorong Hao; Fenglou Bai
Journal:  J Med Biochem       Date:  2022-02-02       Impact factor: 3.402

  2 in total

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