Abstract 199P
Background
The homologous recombination deficiency (HRD) status has displayed the good predictive value for the survival and efficacy of ovarian cancer patients (OCs) received Olaparib in first-line therapy or after platinum-sensitive relapse (PSR). However, the efficacy and survival of Olaparib in some patients is dismal, in which the effective molecular biomarkers remain to be explored.
Methods
Total 60 patients (January 2016 to March 2021) received Olaparib (300 mg, BID) with or without Bevacizumab (7.5-15 mg/kg, once every 21 days) (PSR OCs, N=19; Non-PSR OCs, N = 41), and undergo HRD test by AmoyDx® HRD Focus Panel (HRD-positive, GSS score ≥ 50 or BRCA1/2 mutated). Through genomics and transcriptomics-based data, underlying mechanisms associated with efficacy and prognosis of 24 OCs with Olaparib treatment was identified. The primary endpoint was progression-free survival (long-PFS: > 12 months, short-PFS: ≤ 12 months).
Results
HRD status was determined in 60 OCs with received Olaparib. HRD was an independent prognosis factor (p = 0.029) according to the multivariate Cox regression analysis, and HRD-positive was correlated with longer PFS (p = 0.0064), especially for patients received Olaparib first-line therapy. High ICOSLG expression was associated with shorter PFS (p = 0.0073, AUC = 0.847). High co-expression of ICOSLG and DLX2, predicted higher recurrence rate (p = 0.01), and was verified as a predictive factor (ICOSLGhigh & DLX2high AUC = 0.81). Enrichment ratio of mast cells (MCs) was higher in the short-PFS group than in the long-PFS group (p = 0.053) with critical significance. A low percentage of dendritic cells (DCs) was significantly related to high recurrence rate (p = 0.033). High MCs and low DCs ratio signify an immunosuppressive microenvironment.
Conclusions
In the study, we confirmed that HRD-positive patients can benefit from Olaparib therapy, and have a good prognosis. ICOSLGhigh and ICOSLGhigh & DLX2high, as potential biomarkers of survival and Olaparib efficacy, may help to better identify patients who will benefit most from Olaparib treatment and require further validation in clinical studies.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
182P - Multi-modal artificial intelligence outperforms image-based approaches for mutation prediction from H&E tissue images in colorectal cancer
Presenter: Marc Päpper
Session: Poster session 08
183P - Development of a cadherin-17 (CDH17) immunohistochemistry assay for use as a companion diagnostic for cabotamig in gastrointestinal cancers
Presenter: Dennis Wong
Session: Poster session 08
184P - From breast and gastric to beyond: Expanding HER2 detection in solid tumors using quantitative RNA and protein analysis
Presenter: Kristian Egebjerg
Session: Poster session 08
185P - Multi-omics profiling and clinical characterization of colon-like cancer of unknown primary (CUP)
Presenter: Maria Pouyiourou
Session: Poster session 08
186P - Differences in antigen and immune marker expression in lymphoepithelioma-like carcinoma (LELC) and nasopharyngeal carcinoma (NPC): A multiplex immunohistochemistry (mIHC), spatial transcriptomic and multiplex immunofluorescence (mIF)-based analysis
Presenter: Daniel Peh
Session: Poster session 08
187P - Organoid growth-based oncological sensitivity test (OncoSensi) for predicting radiation therapy outcomes in pharyngeal and esophageal cancer
Presenter: Dong Woo Lee
Session: Poster session 08
188P - Integration of immunohistochemistry and transcriptomics reveals new insights into the immune landscape of soft-tissue sarcomas
Presenter: Giulia Petroni
Session: Poster session 08
189P - An image-based deep learning prediction model for characterization of the drug tolerant persister cell state
Presenter: Lauren Cech
Session: Poster session 08
190P - A large scale proteogenomics atlas for precision oncology research
Presenter: Timothy Anthony Yap
Session: Poster session 08
191P - Understanding and overcoming resistance to selective FGFR inhibitors across FGFR2-driven tumors
Presenter: Francesco Facchinetti
Session: Poster session 08