Circulating Tumor DNA Panel – Colorectal / Lung / Breast
Discover the accelerated NGS with Reliable result for variant with ultra low VAF
Overview
Circulating Tumor DNA Panel for Colorectal / Lung / Breast Cancer
The detection sensitivity for low-frequency variants from sample with limited yield is of great importance to a ctDNA analysis kit.
Celemics has developed NGS ctDNA-based kits for colon, breast, and lung cancer assays through collaborative research with Seoul National University Hospital since 2017. We have integrated our market-leading proprietary technologies including hybridization probe design algorithms, noise removal techniques, and reagent optimization. The panel is thoroughly validated and ready-to-use for clinical diagnostics.
Features & Benefits
Highly Optimized Panel for Clinical Testing with Exceptional Accuracy
This is a complete performance validated panel, conducted with actual clinical patient samples through collaborative research with Seoul National University Hospital. Through the extensive validation studies, Celemics’ ctDNA panel verified assessment of 15 key genes for colorectal cancer, 27 for breast cancer, 28 for lung cancer.
| Colorectal Cancer | ||
|---|---|---|
| Sensitivity | Freq. 0.5% | 100% |
| Freq. 1.0% | 100% | |
| Specificity | 97.9% | |
| Breast Cancer | ||
|---|---|---|
| Sensitivity | Freq. 0.5% | 94.4% |
| Freq. 1.0% | 100% | |
| Specificity | 96.3% | |
| Lung Cancer | ||
|---|---|---|
| Sensitivity | Freq. 0.5% | 100% |
| Freq. 1.0% | 100% | |
| Specificity | 100% | |
Robust BI with Unique Molecular Identifiers(UMI) for ultra-low VAF detection
Receive high-quality data supported by Celemics proprietary
UMI algorithms and Bioinformatics software, enabling effective detection of ultra-low VAF by efficiently removing duplicates and generating consensus read, which will result in increased sequencing efficiency
Along with exclusive barcodes, Celemics also provides
our own-designed modular software allows seamless integration of Bioinformatics solution, from FASTQ to clinical report.
Proven variant detection performance even with low-yield challenging clinical sample
Detection sensitivity and specificity of ctDNA panels have been tested and verified with various actual clinical specimen.
Even with the template DNA amount as low as 10 ng, the panel demonstrated market-leading performance with superior sensitivity and specificity and these panels been supported by numerous peer review publications.
Exclusive Bioinformatics algorithms for accurate analysis
Celemics applies algorithms for eliminating the sequencing error and reducing noise to increase the detection sensitivity and specificity. By applying these exclusive pipeline features, we can provide accurate and reliable sequencing results to our customers.
We continuously monitor and improve of the noise removal technology by data accumulation
Workflow
Simple workflow of circulating tumor DNA panel
- Able to assess ctDNA with ultra-low variant allele frequency (VAF)
- Simple workflow and easy-to-follow protocol
- Modular algorithm to be applied in the existing pipeline.
- Retrieves more unique reads than that from conventional duplication removal algorithms, reducing sequencing costs
- Noise removal and accurate calls due to proprietary consensus sequence generation algorithm
Bioinformatics SW for Noise Reduction and Duplicate Read Recovery
- Minimizes the noise for accurate analysis of variants with ultra-low VAF from ctDNA
- Generates consensus read to support noise suppression
- Continuous improvement of the noise removal technology by data accumulation
Specification
| Colorectal Cancer | Breast Cancer | Lung Cancer | |
|---|---|---|---|
| Gene count* | 15 genes | 27 genes | 28 genes |
| Covered region | Whole CDS | Whole CDS (8 genes)
Hotspot exonic region (20 genes) |
|
| Target size | 49 kb | 99 kb | 47 kb |
| Mutation type | SNV, Indel | ||
| Sample type (amount) | Plasma (>20 ng of cfDNA) | ||
| Platform | All sequencers from illumina | ||
| Bioinformatics pipeline |
1. Primary and Secondary analysis result (FASTQ to VCF) 2. Secondary Analysis: CNV, Large InDel 3. Tertiary Analysis: Clinical interpretation * Linux-based consensus read generation software |
||
Specification - Gene List
- 15 genes | Gene count
- 49 kb | Target Size
- Whole CDS | Target Region
| ctDNA Colorectal Cancer Panel | APC | ATM | BRAF | EGFR | ERBB2 | FBXW7 | KRAS | MET |
|---|---|---|---|---|---|---|---|---|
| NRAS | PDGFRA | PIK3CA | PTEN | SMAD4 | TCF7L2 | TP53 |
- 27 genes | Gene count
- 99 kb | Target Size
- Whole CDS | Target Region
| ctDNA Breast Cancer Panel |
AKT1 | APC | AR | BRCA1 | BRCA2 | CCND1 | CDH1 | EGFR |
|---|---|---|---|---|---|---|---|---|
| ERBB2 | ESR1 | FGFR1 | FGFR2 | GATA3 | IGF1R | KIT | KRAS | |
| MAP2K4 | MAP3K1 | MDM2 | MYC | NF1 | PIK3CA | PIK3R1 | PTEN | |
| RB1 | TOP2A | TP53 |
- 28 genes | Gene count
- 47 kb | Target Size
- Whole CDS for 8 genes and Hotspot exonic region for 20 genes, 3 Intronic regions | Target Region
| ctDNA Lung Cancer Panel |
AKT1 | ALK | ARAF | ARID1A | BRAF | CBL | CDKN2A | EGFR |
|---|---|---|---|---|---|---|---|---|
| ERBB2 | HRAS | KEAP1 | KRAS | MAP2K1 | MET | MTOR | NF1 | |
| NRAS | NTRK1 | NTRK2 | PIK3CA | PTEN | RB1 | RIT1 | ROS1 | |
| SETD2 | STK11 | TP53 | U2AF1 |
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Resources
Technical Resources
Safety Data Sheets
If you require the latest MSDS file, please contact us via ‘Contact Us‘.
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References
Molecular Cancer
Distant origin of glioblastoma recurrence: neural stem cells in the subventricular zone serve as a source of tumor reconstruction after primary resection
Li, X., Kim, H. J., Yoo, J., Lee, Y., Nam, C. H., Park, J., … & Lee, J. H. (2025). Distant origin of glioblastoma recurrence: neural stem cells in the subventricular zone serve as a source of tumor reconstruction after primary resection. Molecular Cancer, 24(1), 64.
10.1186/s12943-025-02273-2
Molecular Diagnosis & Therapy
Profiling Cell-Free DNA from Malignant Pleural Effusion for Oncogenic Driver Mutations in Patients with Treatment-Naive Stage IV Adenocarcinoma: A Multicenter Prospective Study
Chang, S. C., Wei, Y. F., Chen, C. Y., Lai, Y. C., Hu, P. W., Hung, J. C., & Chang, C. Y. (2024). Profiling cell-free DNA from malignant pleural effusion for oncogenic driver mutations in patients with treatment-naive stage IV adenocarcinoma: a multicenter prospective study. Molecular Diagnosis & Therapy, 28(6), 803-810.
10.1007/s40291-024-00736-8
Frontiers in Oncology
The clinical relevance of surgical specimens for RNA sequencing in lung cancer: a cohort study
Eom, J. S., Kim, S. H., Kim, K., Kim, A., Ahn, H. Y., Mok, J., … & Kim, M. H. (2024). The clinical relevance of surgical specimens for RNA sequencing in lung cancer: A cohort study. Frontiers in Oncology, 14, 1462519.
10.3389/fonc.2024.1462519
Journal of Hepatology
Concordance of ctDNA and tissue genomic profiling in advanced biliary tract cancer
Hwang, S., Woo, S., Kang, B., Kang, H., Kim, J. S., Lee, S. H., … & Chon, H. J. (2025). Concordance of ctDNA and tissue genomic profiling in advanced biliary tract cancer. Journal of Hepatology, 82(4), 649-657.
10.1016/j.jhep.2024.10.020