Victoria R Cerda

Evaluation of patterns of progression on poly (ADP-ribose) polymerase inhibitor (PARPi) maintenance in ovarian cancer: a cross-sectional study

Despite improvement in progression-free survival with poly (ADP-ribose) polymerase inhibitors (PARPi) as maintenance therapy for ovarian cancer, many patients will eventually progress on therapy. Oligoprogression is uniquely suited to considerations of local consolidation therapy in this setting, but not commonly used in ovarian cancer. In this study we evaluated the proportion of patients on PARPi maintenance who developed limited sites of disease, the location of progression, and their natural history. From January 2006 to December 2020, natural language processing software (DEEP6AI) was used to identify 58 patients with ovarian cancer treated with PARPi maintenance after complete or partial response after surgery and platinum-based chemotherapy at our institution. Patients were assessed for presence and location of recurrence based on radiologic findings. The median patient age was 65 (IQR 57-71) years. Patients had a median of two lines of chemotherapy prior to starting PARPi. With a median follow-up of 48 (range 12-149) months, 32 (55%) patients had a recurrence on maintenance olaparib and 11 (34%) patients developed oligoprogression (≤3 sites). For the 11 patients with oligoprogression, three patients developed recurrence in one site, five in two sites, and three in three sites. The sites of oligoprogression were pelvic/periaortic nodal (27%), peritoneal (27%), liver (27%), lung/mediastinal (14%), and brain (5%). The median progression-free survival for the entire cohort was 6.0 months (95% CI 4.2 to 7.8); median overall survival was not met. There were no significant differences in overall survival (p=0.81) or progression-free survival (p=0.95) between patients with and without oligoprogression. One-third of patients on PARPi maintenance experienced oligoprogression defined as limited to ≤3 sites. These patients may benefit from local consolidation therapy. A larger dataset is needed to validate these findings to assess if trials investigating local therapy for these patients is of value.

Exploratory evaluation of the somatic and immunologic landscape of primary and metastatic cervical cancer to better inform future clinical trial development.

To explore the somatic and immunologic landscape of cervical primary versus metastatic tumors for differential sensitivity of metastatic cervical sites and potential therapeutic implications. Patients with sequenced squamous cell cervical cancer were selected from the Tempus Database (2016-2023). The cohort included 136 unmatched samples (73 primary, 63 metastatic sites). Pathogenic somatic mutations and gene expression patterns of immune cells were evaluated for relative intratumor abundance. Immune cell percentages, tumor mutational burden, and tumor neoantigen burden (tumor mutational burden) were compared across tumor sites. χ The median cohort age was 52 years (interquartile range; 42-60). High tumor mutational burden (≥ 10 mut/Mb) was seen in 9.6% (9% primary, 0% lung, 17% liver, 17% lymph node, p = .7) of patients. High microsatellite instability (MSI) was noted in 1.5% (p = .7) of patients. PD-L1 status was positive in 78% (76% primary, 88% lung, 71% liver, and 80% lymph node, p = .8) of patients. Median tumor neoantigen burden was 1.71 (interquartile range; 0.98-3.20). Liver lesions had the lowest percentage of B cells (p = .001) and a higher percentage of macrophages (p = .053) compared with other sites. There was a trend toward lower percentages of CD4 cells (p = .053) and natural killer cells (p = .090) in lymph nodes compared with other sites. PIK3CA was the most common pathogenic somatic alteration but not statistically different across sites (q = 0.9). Molecular and immune profiling of primary and metastatic lesions indicated that liver lesions had a less immunogenic microenvironment. Further interrogation of the molecular landscape across paired samples is needed to better inform the development and use of novel therapies.