This protocol describes an automated, ISO15189-accredited next-generation sequencing workflow for detecting targetable genomic alterations in non-small cell lung cancer (NSCLC) formalin-fixed paraffin-embedded tissues.
Method Article
* These authors contributed equally
This protocol describes an automated, ISO15189-accredited next-generation sequencing workflow for detecting targetable genomic alterations in non-small cell lung cancer (NSCLC) formalin-fixed paraffin-embedded tissues.
The success of targeted therapy in non-small cell lung cancer (NSCLC) hinges on the precise identification of driver alterations, including mutations, gene fusions, and amplifications. Next-generation sequencing (NGS) has emerged as a comprehensive molecular diagnostic tool, capable of detecting both known and novel genomic aberrations, providing critical support for personalized NSCLC treatment. However, NGS remains a complex and technically challenging method. Despite its widespread adoption, NGS still faces some challenges, including technical complexity and prolonged turnaround times. Here, the ISO15189-certified NGS workflow implemented in the clinical laboratory is introduced. The standardized protocol encompassed tumor cellularity assessment (≥20 %), DNA extraction from formalin-fixed paraffin-embedded (FFPE) tissues (DNA input ≥ 50 ng), automated library preparation, and bioinformatics analysis. By integrating stringent quality control (QC) measures at each step, the workflow ensures high data reliability. Besides, the key innovation in workflow was the automation of NGS library construction. The automated system of NGS library construction included end repair, A-tailing, adapter ligation, hybridization capture, and purification, effectively minimizing human error, enhancing experimental reproducibility, reducing hands-on time, and thus improving efficiency. Together, experience demonstrates that rigorous QC and automated library preparation are essential for maintaining accuracy and scalability in clinical NGS testing. This optimized approach not only ensures compliance with ISO15189 standards but also supports the growing demand for precision oncology in NSCLC management.
Non-small cell lung cancer (NSCLC) accounts for 75%-85% of all lung cancer cases, representing both a clinical priority and a therapeutic challenge1,2,3. In recent years, with the successful development and clinical application of molecularly targeted drugs such as epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), the treatment of advanced NSCLC has entered the era of personalized precision therapies4,5,6. Targeted therapy offers precise efficacy, high specificity, and minimal side effects7,8. This shift in treatment has simultaneously increased the demand for molecular diagnostic technologies.
Currently, comprehensive tumor-targeted testing has become an indispensable component of clinical practice that can help elucidate accurate genetic mutation profiles and thus provides a reliable basis for subsequent targeted drug use, drug resistance monitoring, and prognosis assessment for patients. Particularly, NGS-based multi-gene testing, leveraging high-throughput and high-sensitivity technical advantages, has already been recommended for clinical application9,10,11,12.
Compared to traditional molecular diagnostic techniques, NGS demonstrates groundbreaking advantages. The foremost advantage of NGS lies in its high-throughput capability. It enables the concurrent detection of multiple genes, including both known and unknown genetic alterations13,14. Meanwhile, NGS achieves comprehensive testing in a single run, relatively reducing cost, sample consumption, and testing turnaround time15,16. Given these advantages, NGS has been increasingly applied in clinical practice. However, the processes of NGS are complex, including tumor cellularity assessment, nucleic acid extraction, automated library preparation, and bioinformatics analysis. The quality of initial sample processing directly affects the performance of subsequent bioinformatics analyses17. Especially, library preparation involves a series of steps to convert raw nucleic acid samples into standardized libraries compatible with sequencing instruments. Library preparation includes fragmentation, end repair, adapter ligation, and PCR amplification18. This complex process often introduces various technical biases: for example, fragmentation may lead to the underrepresentation of heterochromatin regions; the substrate preference of ligase during adapter ligation can result in the loss of certain sequences; and PCR amplification tends to cause uneven coverage in regions with extreme GC content19. These systemic biases not only reduce the quality of sequencing data but may also lead to erroneous conclusions in subsequent bioinformatics analyses. Therefore, establishing a rigorous QC system is essential to ensure the reliability and consistency of experimental results.
To address these long-standing technical challenges, the laboratory has adopted a fully automated NGS system. The system is designed to reduce manual processing time and decrease overall turnaround periods. It incorporates programmable protocols to ensure both operational flexibility and processing precision while utilizing integrated modules and units to effectively minimize potential technical biases at each step. Furthermore, this automated solution not only improves the reproducibility and throughput of library preparation but, more importantly, ensures that sequencing data more accurately reflects the molecular composition of the original samples. Here, the laboratory would like to introduce the system through the detection of driver alterations using DNA-based NGS.
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The protocol received an IRB waiver for anonymized archival samples.
1. Pre-testing steps and QC
2. Library preparation and QC (Figure 1)
3. Fully automated library preparation (Table 5)
4. Sequencing and QC
5. Sequencing data analysis and QC
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Utilizing an automated NGS analysis workflow with stringent quality controls, the laboratory performed comprehensive genomic profiling of NSCLC specimens. The optimized detection workflow (Figure 2) reliably identified several clinically actionable genomic alterations in representative tumor samples (Figure 3).
The sequencing results demonstrated a high-frequency EGFR p.L858R missense mutation (AF=89.25%) accompanied by signi...
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Every qualified NGS report lies behind a rigorous process, which remains complex and time-consuming28. To address these issues, the laboratory developed a fully automated NGS system. This operation significantly reduces manual intervention, minimizes experimental errors, and substantially shortens turnaround time. Therefore, this system has provided a more reliable and efficient strategy for NGS, establishing a new thought for data quality in genomic research.
The inte...
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The authors have no conflicts of interest to disclose.
This study was supported by grants from the Beijing Natural Science Foundation of the People's Republic of China (7252122), Beijing Xisike Clinical Oncology Research Foundation of the People's Republic of China (Y-HS202402-0021), the Residency Training Teaching Research Fund of Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (E2025004), and the National High Level Hospital Clinical Research Funding (2025-LYZX-R-B03).
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Agilent High Sensitivity DNA Kit | Agilent | 5067-4626 | For use with the Agilent 2100 Bioanalyzer System |
| Agilent DNA 1000 Reagents Kit | Agilent | 5067-1504 | For use with the Agilent 2100 Bioanalyzer System |
| Agilent 2100 Bioanalyzer | Agilent | G2939A | Assess the fragment size of the library and the presence of adapters. |
| Concert Fully automatic nucleic acid purification instrument | CONCERT | MC1002 | Used for DNA extraction |
| Equalbit 1×dsDNA HS Assay Kit | Vazyme | EQ121-02-AA | For use with the Qubit 3.0 Fluorometer |
| Human EGRR/KRAS/BRAF/ALK gene mutation combined detection kit | Burning Rock | BR-LC00102 | library construction |
| Magnis BR | Agilent Technologies | G7595AA | Automated NGS library preparation |
| ME220 Focused-ultrasonicator | Covaris | 500396 | ultrasonication |
| NanoDrop One/OneC | Thermo Fisher | ND-ONE-W | Full wavelength UV visible spectrophotometric detection |
| NextSeq 550Dx | Illumina | 20005715 | sequence |
| NSQ 500/550 Hi Output KT v2.5(300CYS) | Illumina | 20024908 | For use with the NextSeq 550Dx |
| Nucleic acid extraction reagent | CONCERT | RC1102 | Used for DNA extraction |
| Qubit 3.0 Fluorometer | Life | Q33216 | Used for nucleic acid or library concentration detection |
| Qubit dsDNA HS Assay Kit | Life | Q32851 | For use with the Qubit 3.0 Fluorometer |
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