Noninvasive detection of chromosomal instability in plasma circulating cell-free DNA for early pan-cancer diagnosis using low-pass whole-genome sequencing.

Abstract

e22509 Background: Genomic instability is a typical characteristic of the majority of cancers. Early non-invasive detection of cancer is the most effective way of improving the success of treatment and prognosis at present. Traditional tumor screening methods have limitations in terms of selection methods, sensitivity, specificity, cost, and comfortability. Furthermore, although traditional tumor screening is useful for common cancers, there is no available screening test for rare cancers. Here we developed a novel method for cancer detection with Low-Pass Whole Genome Sequencing (WGS) of cell-free DNA (cfDNA). Methods: The cfDNA samples from 52 healthy donors were first used to establish a blacklist of bins. Then the baseline was established to calculate the chromosomal instability score (CINscore). We optimized the parameters of our model using the following discovery datasets: healthy controls (n = 50), breast invasive carcinoma (BRCA) (n = 44), ovarian serous cystadenocarcinoma (OV) (n = 25), colon adenocarcinoma/rectum adenocarcinoma esophageal carcinoma (COREAD) (n = 52), hepatocellular carcinoma (HCC) (n = 43), Gastric adenocarcinoma (GAC) (n = 31); pancreatic adenocarcinoma (PAC) (n = 38), non-small cell lung cancer (NSCLC) (n = 45). Results: We further evaluated the performance of our method using the confirmation datasets of healthy controls (n = 30), BRCA (n = 20), prostate adenocarcinoma (PRAD) (n = 6), OV (n = 7), head and Neck squamous cell carcinoma (HNSC) (n = 10), Uterine Corpus Endometrial Carcinoma (UCEC) (n = 6), cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) (n = 5), COREAD (n = 75), HCC (n = 50), GAC (n = 31), cholangiocarcinoma (CHOL) (n = 8), PAC (n = 10), NSCLC (n = 98), esophageal carcinoma (ESCA) (n = 10), and nasopharyngeal carcinoma (NAC) (n = 4). Overall, the area under the curve (AUC) for pan-cancer is 88.7%, and for BRCA, COREAD, HCC, NSCLC, and GAC are 91.7%, 90.0%, 94.5%, 83.4%, and 88.6%, respectively. Moreover, our approach achieved good performance on the the early stage samples of pan-cancer (AUC = 84.3%) as well as COREAD (AUC = 89.3%) and NSCLC (AUC = 79.0%). Conclusions: Collectively, we show that the CINscore inferred from low-pass WGS could be applied in early non-invasive detection of different cancers with high accuracy. Our approach may aid the improvement of the cancer diagnosis.