Abstract 142P
Background
Liquid biopsy is an emerging technology capable of detecting cancer, while CT-imaging is the gold standard. We aim to correlate imaging features from CT-scans to liquid biopsy ctDNA tumor fraction (TF) and blood Tumor Mutational Burden (bTMB).
Methods
This retrospective multicentric study included 1017 patients with metastatic cancer who underwent a variety of treatments. Liquid biopsy and contemporaneous CT-scans were collected. TF and bTMB values were computed using FoundationOne Liquid CDX solution by Roche, with high tumor fraction being over 10%. Two expert radiologists outlined all cancerous lesions in the largest axial diameter. Total tumor volume (TTV) was defined as the sum of estimated lesion volumes. Training set consisted of data from several imaging centers, while the validation set was single-center. Continuous value distributions by category were tested using the Mann-Whitney U-test, and a threshold was set with ROC curve analysis using Youden's Index. This cutoff defined high and low groups, and a Χ2 test of independence was used to examine the correlation. Sensitivity and specificity were reported with imaging features taken as the gold standard. Subanalyses were run on patients with liver lesions.
Results
Overall, 55294 lesions were annotated, most commonly located in the lung (n=20074), liver (n=11297) and lymph nodes (n=10222). The train and validation sets included 599 and 418 patients. Preliminary analyses were performed on the train set. Patients with low TF had significantly less TTV than those with high TF (p<0.001). ROC analysis yielded an AUC of 0.63 with a threshold of 106 cm3. Correlation was significant between TTV and TF categories (Χ2 test: p<0.001). The sensitivity and specificity were 76% and 42%. For patients with liver lesions (n=253) , TTV threshold was 108 cm3 with an AUC of 0.66. Correlation was significant between TTV and TF categories (Χ2 test: p<0.001). The sensitivity and specificity were 82% and 42%.
Conclusions
Analysis showed significant correlation between TTV and ctDNA TF. Sensitivity was higher for patients with liver lesions, suggesting that some organs shed tumoral DNA more than others. The study of tumor heterogeneity on imaging and its correlation to bTMB is in progress.
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
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
155P - Exploring the utility of serum anti-tNASP antibodies as a screening biomarker in prostate, pancreatic, and ovarian cancer
Presenter: Oleg Alekseev
Session: Poster session 01