Abstract 148P
Background
Although immune checkpoint inhibitor therapies are popular for various cancers, biomarkers using peripheral blood have not established yet. The CD62LlowCD4+ T cells are considered to enhance function of cytotoxic CD8+ cells. It is reported that the K-index (X2/Y; X = CD62LlowCD4+T cell %, Y = Treg % in peripheral blood CD4+ T cell population) could be augmented immune-reactive status and predict outcomes for anti-PD-1 therapy against non-small lung cancer. In this study, we examine the clinical significance of the CD4+ T cell subsets in peripheral blood for anti- PD-1/PD-L1 therapy against other cancers except lung cancer.
Methods
Peripheral blood mononuclear cells obtained from patients with urological cancers or hepatocellular carcinoma before anti-PD-1/PD-L1 therapy were served for flow cytometry analysis. Possible correlation of the subsets including K-index with therapy outcomes were investigated.
Results
Thirty-five patients with urological cancer (16 renal cell carcinoma, 8 ureteral cancer, 11 bladder cancer) and 28 patients with hepatocellular carcinoma (HCC) participated in the study. Regarding urological cancers, objective response rate (ORR) was significantly higher in patients with the high K-index (K-index ≧300, 75% vs. K-index <300, 30.4%; P=0.012). On the other hand, patients with immune-related adverse events (irAE) of ≧ had high K-index before treatment (P=0.017). In contrast, in HCC, no relevant relationship was seen between the K-index and treatment outcome. The ORR of patients with high Treg population (≧3% of CD4+ T cells) was significantly higher than that of low Treg patients (<3%) (63.6% vs. 17.6%, respectively; P=0.019). We found no relevant relationship between K-index and irAE of ≧grade 3.
Conclusions
The K-index could predict treatment outcomes and possibility of irAE in the urological cancers. It is considered as a valuable biomarker to select the anti-cancer regimens. Further study should be needed to find other cancers in which the K-marker is used as a predictive biomarker. In contrast, in the HCC, the Treg population could be a valuable marker different from lung cancer or urological cancers. It suggests that immune-oncological status is different in some cancers.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The author.
Funding
Has not received any funding.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
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
192P - Use of biosimulation to predict homologous recombination deficiency and PARPi benefit in patients with ovarian, pancreatic, prostate and triple negative breast cancers
Presenter: Daniel Palmer
Session: Poster session 08