Abstract 173P
Background
Targeted molecular therapy and immunotherapy have revolutionized the treatment of advanced lung cancer (ALC). Although therapeutically significant, the outcome of ICI or TKI is dependent on the presence of their respective targets in tumor cells. Evaluating targets based on solid biopsy may be often misleading, particularly in progressive patients despite therapy administration. Additionally, tissue biopsy provides a static signature of a target protein expression from the evolving tumor. The unmet need for dynamic detection and monitoring of actionable targets could be addressed by circulating tumor cells (CTCs). Here we report on the utility of CTCs to detect actionable targets from advanced lung cancer (ALCs) patients.
Methods
We retrospectively analyzed 193 ALC patients for Programmed Death - Ligand 1 (PD-L1) and EGFR expression on CTCs from. CTCs were isolated from Drug Controller General of India-approved OncoDiscover technology based on immunomagnetic targeting using anti EpCAM antibody, and immuno-staining with anti EGFR and PD-L1 antibodies. CTCs were detected based on the expression of CKs, absence of CD45, and prominent DAPI-stained nuclei. The presence or absence of EGFR and PD-L1 was determined with automated immunofluorescence microscopy.
Results
Among the evaluated cohort, 67 % patients showed the presence of CTCs with a mean value of 4.2 (Range: 1 to 62, SD =10.65). The absence of CTCs from the remaining 33 % of patients could be due to the therapy response of the clinically stable disease. From all patients showing the presence of CTCs, 66 % showed the detectable expression of PD-L1, while 42 % showed a strong expression of EGFR. The presence of PD-L1 was a significant association with CTCs. Similarly, the expression of EGFR among the detected CTCs showed high significance compared to the reported data on tissue biopsy from the literature.
Conclusions
Detection of therapeutic targets on CTCs obtained from ALC strongly indicate these patients qualify for anti-EGFR and PD-L1 therapies. Systematic studies with larger samples are required to strengthen the liquid biopsy-based detection of actionable targets. This could immensely help ALC patients showing progressive disease on chemo/radiotherapy.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Actorius Innovations and Research.
Funding
Actorius Innovations and Research.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
144P - Artificial intelligence supported treatment decisions for precision oncology
Presenter: Damian Rieke
Session: Poster session 01
145P - Identification of biomarkers of survival across multiple cancer types using eXplainable artificial intelligence
Presenter: Francesca Angileri
Session: Poster session 01
147P - Non-small cell lung cancer: Artificial intelligence enables the identification of survival signatures complementary to an Immunologically active gene expression signature involving previous therapies
Presenter: Pierre Saintigny
Session: Poster session 01
149P - Assessing the effect of single dose trastuzumab and pertuzumab (HP) on biological changes and pathological complete response (pCR) in ERBB2+ Breast Cancer: Results from the neoadjuvant BionHER study
Presenter: Nadia Gomez Serra
Session: Poster session 01
150P - Validation of a genomic assay in early-stage HER2+ breast cancer (BC) treated with trastuzumab and pertuzumab (HP): A correlative analysis from PHERGain phase II trial
Presenter: Antonio Llombart Cussac
Session: Poster session 01
152P - Efficacy of olaparib in advanced cancers with germline or somatic tumor mutations in BRCA1, BRCA2, CHEK2 and ATM: A Belgian precision tumor-agnostic phase II study
Presenter: Sofie Joris
Session: Poster session 01
153P - Descriptive analysis of the location of point mutations in BRCA and the risk of breast or ovarian cancer diagnosis
Presenter: Pablo Torres-Mozas
Session: Poster session 01
154P - Highly sensitive serum volatolomic biomarkers for pancreatic cancer diagnosis and prognosis
Presenter: Alfredo Martínez
Session: Poster session 01