Current Understanding on Why Ovarian Cancer Is Resistant to Immune Checkpoint Inhibitors.
Anna Pawłowska-ŁachutAnna K RekowskaWeronika KuryłoAnna PańczyszynJan KotarskiIwona WertelPublished in: International journal of molecular sciences (2023)
The standard treatment of ovarian cancer (OC) patients, including debulking surgery and first-line chemotherapy, is unsatisfactory because of recurrent episodes in the majority (~70%) of patients with advanced OC. Clinical trials have shown only a modest (10-15%) response of OC individuals to treatment based on immune checkpoint inhibitors (ICIs). The resistance of OC to therapy is caused by various factors, including OC heterogeneity, low density of tumor-infiltrating lymphocytes (TILs), non-cellular and cellular interactions in the tumor microenvironment (TME), as well as a network of microRNA regulating immune checkpoint pathways. Moreover, ICIs are the most efficient in tumors that are marked by high microsatellite instability and high tumor mutation burden, which is rare among OC patients. The great challenge in ICI implementation is connected with distinguishing hyper-, pseudo-, and real progression of the disease. The understanding of the immunological, molecular, and genetic mechanisms of OC resistance is crucial to selecting the group of OC individuals in whom personalized treatment would be beneficial. In this review, we summarize current knowledge about the selected factors inducing OC resistance and discuss the future directions of ICI-based immunotherapy development for OC patients.
Keyphrases
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- clinical trial
- ejection fraction
- healthcare
- peritoneal dialysis
- prognostic factors
- squamous cell carcinoma
- randomized controlled trial
- coronary artery disease
- acute coronary syndrome
- lymph node
- stem cells
- dna methylation
- radiation therapy
- single cell
- combination therapy
- mesenchymal stem cells
- percutaneous coronary intervention
- replacement therapy
- peripheral blood
- copy number
- genetic diversity