Abstract 3655
Background
Lung cancer is the most common cause of cancer-related mortality worldwide. Early diagnosis and surgery may be one of the most important strategy for the treatment of lung cancer patients. However, the procedure of lung cancer diagnosis from initial suspicion to final confirmation is not efficient due to low sensitivity of current diagnostic methods and difficulties involved in tumor tissue biopsy in lung cancer compared to other cancer types. Therefore, we investigated the feasibility of liquid biopsy using circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) analysis for the better diagnosis of lung cancer.
Methods
In this study, we blindly analyzed both CTCs and ctDNA in the blood samples derived from 109 patients including histology-proven and clinically suspicious lung cancer patients to test the sensitivity of liquid biopsy methods. CTC analysis was done by CytoGen’s liquid biopsy platform, in which viable CTCs were isolated by size-based filtration with gravity and validated by immunostaining of EpCAM or CK, excluding CD45 positive cells and enumerated by CytoGen’s cell imaging software. Lung cancer diagnosis was predicted by a cut-off, 2 ≥ CTC in 5 ml peripheral blood. For ctDNA analysis, EDGC F-Can platform was used to analyze single nucleotide variations of very low variant allele frequencies by utilizing unique molecular indexes and a novel read error correction algorithm. For comparison, we also analyzed the levels of conventional tumor markers (CEA, cyfra21-1 and NSE) in the patient cohort.
Results
Compared to the diagnostic sensitivities of conventional tumor markers (CEA 29%; cyfra21-1 41%; NSE 39%), both assays of CTCs and ctDNA showed higher diagnostic sensitivity in predicting primary lung cancer (CTCs 67%; ctDNA 83%). When the assays of CTCs and ctDNA were combined for the diagnosis, the sensitivity was increased up to 98%.
Conclusions
Collectively, this study suggests that combined CTCs and ctDNA assay would be useful for the diagnosis of primary lung cancer.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Cytogen, Inc., EDGC, Inc., Department of Medicine, Samsung Medical Center
Funding
Has not received any funding
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4543 - Long-term real-world (RW) outcomes in patients with advanced melanoma (MEL) treated with ipilimumab (IPI) and non-IPI therapies: IMAGE study
Presenter: Stéphane Dalle
Session: Poster Display session 3
Resources:
Abstract
4523 - Prognostic Factors for efficacy of Ipilimumab used after AntiPD1 and/or BRAF+MEK inhibitors in Melanoma Patients: an Italian Melanoma Intergroup study
Presenter: Riccardo Marconcini
Session: Poster Display session 3
Resources:
Abstract
3632 - Rechallenge with combination ipilimumab and anti-PD-1 (IPI+PD1) in metastatic melanoma after acquired resistance to IPI+PD1 immunotherapy
Presenter: Adriana Hepner
Session: Poster Display session 3
Resources:
Abstract
3732 - Clinicopathologic characteristics of immune colitis in melanoma patients treated with combination ipilimumab and anti-PD1 (IPI+PD1) and PD1 monotherapy.
Presenter: Kazi Nahar
Session: Poster Display session 3
Resources:
Abstract
5005 - Real-world outcomes of ipilimumab plus nivolumab for advanced melanoma in the Netherlands
Presenter: Michiel van Zeijl
Session: Poster Display session 3
Resources:
Abstract
5524 - Utilization of Real-World Data to Assess the Effectiveness of Immune Checkpoint Inhibitors (ICIs) in Elderly Patients with Metastatic Melanoma
Presenter: D Scott Ernst
Session: Poster Display session 3
Resources:
Abstract
5884 - Tumor mutational burden and response to PD-1 inhibitors: an analysis of 89 cases of metastatic melanoma.
Presenter: Léa Dousset
Session: Poster Display session 3
Resources:
Abstract
3120 - Increase in S100B and LDH as early outcome predictors for non-responsiveness to anti-PD-1 monotherapy in advanced melanoma.
Presenter: Elisa Rozeman
Session: Poster Display session 3
Resources:
Abstract
2157 - Immune status defined by molecular information layers predicts response to pembrolizumab treatment in advanced melanoma
Presenter: Guillermo Prado-Vázquez
Session: Poster Display session 3
Resources:
Abstract
2553 - Interim analysis of a phase Ib study of cobimetinib plus atezolizumab in patients with advanced BRAFV600 wild type melanoma progressing on prior anti-PD-L1 therapy
Presenter: Shahneen Sandhu
Session: Poster Display session 3
Resources:
Abstract