Single-cell low-pass whole genome sequencing accurately detects circulating tumor cells for liquid biopsy-based multi-cancer diagnosis.
Xiaohan ShenJiao DaiLingchuan GuoZhigang LiuLiu YangDongmei GuYinghong XieZhuo WangZiming LiHaimiao XuQihui ShiPublished in: NPJ precision oncology (2024)
Accurate detection of circulating tumor cells (CTCs) in blood and non-blood body fluids enables generation of deterministic cancer diagnosis and represent a less invasive and safer liquid biopsy approach. Although genomic alternations have been widely used in circulating tumor DNA (ctDNA) analysis, studies on cell-based genomic alternations profiling for CTC detection are rare due to major technical limitations in single-cell whole genome sequencing (WGS) including low throughput, low accuracy and high cost. We report a single-cell low-pass WGS-based protocol (scMet-Seq) for sensitive and accurate CTC detection by combining a metabolic function-associated marker Hexokinase 2 (HK2) and a Tn5 transposome-based WGS method with improved cell fixation strategy. To explore the clinical use, scMet-Seq has been investigated with blood and non-blood body fluids in diagnosing metastatic diseases, including ascites-based diagnosis of malignant ascites (MA) and blood-based diagnosis of metastatic small-cell lung cancer (SCLC). ScMet-Seq shows high diagnostic sensitivity (MA: 79% in >10 cancer types; metastatic SCLC: 90%) and ~100% of diagnostic specificity and positive predictive value, superior to clinical cytology that exhibits diagnostic sensitivity of 52% in MA diagnosis and could not generate blood-based diagnosis. ScMet-Seq represents a liquid biopsy approach for deterministic cancer diagnosis in different types of cancers and body fluids.
Keyphrases
- single cell
- circulating tumor cells
- circulating tumor
- rna seq
- small cell lung cancer
- papillary thyroid
- cell free
- squamous cell carcinoma
- high throughput
- squamous cell
- ultrasound guided
- genome wide
- randomized controlled trial
- fine needle aspiration
- gene expression
- stem cells
- high resolution
- dna methylation
- label free
- minimally invasive
- lymph node metastasis
- bone marrow
- young adults
- childhood cancer
- quantum dots