Dynamics of the Tumor Immune Microenvironment during Neoadjuvant Chemotherapy of High-Grade Serous Ovarian Cancer.
Jung-Yun LeeHa Young WooYoo-Na KimJung-Yun LeeEun Ji NamSang-Wun KimSunghoon KimYoung-Tae KimEunhyang ParkJe-Gun JoungJung-Yun LeePublished in: Cancers (2022)
The dynamic changes in the tumor immune microenvironment (TIME) triggered by neoadjuvant chemotherapy (NAC) have not been clearly defined in advanced-stage ovarian cancer. We analyzed the immunologic changes induced by NAC to correlate them with clinical outcomes. We compared the changes in the immune infiltration of high-grade serous carcinoma biopsies before and after NAC via immunohistochemistry (147 paired samples) and whole transcriptome sequencing (35 paired samples). Immunohistochemistry showed significantly increased PD-L1 levels and TIL levels after NAC. Whole transcriptome sequencing revealed that the stromal score, immune score, and cytolytic activity score significantly increased after NAC. An increased tumor-infiltrating lymphocyte (TIL) level in response to NAC was associated with shorter progression-free survival compared with decreased TIL level after NAC. In tumors with increased TIL levels after NAC, the relative fraction of CD8 T cells and regulatory T cells significantly increased with immunohistochemistry. Post-NAC tumors were enriched in gene sets associated with immune signaling pathways, such as regulatory T cell and JAK/STAT signaling pathways. NAC induced dynamic changes in the TIME that increased TIL levels, but their high abundance did not impart any survival benefit. Our data may provide therapeutic strategies to improve the survival benefit from immunotherapies in ovarian cancer.
Keyphrases
- transcription factor
- high grade
- neoadjuvant chemotherapy
- genome wide analysis
- regulatory t cells
- single cell
- free survival
- low grade
- signaling pathway
- locally advanced
- stem cells
- lymph node
- genome wide identification
- sentinel lymph node
- squamous cell carcinoma
- bone marrow
- machine learning
- early stage
- copy number
- artificial intelligence
- immune response
- deep learning
- ultrasound guided
- electronic health record
- drug induced
- endothelial cells