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September 23, 2025Diagnostics32 citationsOpen Access

Next-Generation Sequencing: A Review of Its Transformative Impact on Cancer Diagnosis, Treatment, and Resistance Management

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AIAlexandru IsaicNMNadica MotofeleaTHTeodora Hoinoiu

Key Points

  • NGS enables high-resolution genomic profiling and guides personalized treatment choices in cancer care.
  • Identifiable actionable mutations like EGFR and KRAS inform targeted therapies for advanced malignancies.
  • Liquid biopsy techniques allow for real-time monitoring of minimal residual disease and treatment resistance.
  • Challenges such as high costs and the management of variants of uncertain significance may limit clinical adoption.

Abstract

Background/Objectives: Next-Generation Sequencing (NGS) has transformed cancer diagnostics and treatment by enabling comprehensive genomic profiling of tumors. This review aims to summarize the current applications of NGS in oncology, highlighting its role in early detection, precision therapy, and disease monitoring. Methods: We conducted a comprehensive review of the recent literature, focusing on the application of NGS in cancer care. Results: NGS enables high-resolution genomic profiling, identifying actionable mutations (e.g., EGFR, KRAS, and ALK) and immunotherapy biomarkers (e.g., PD-L1, TMB, and MSI), guiding personalized treatment selection and improving outcomes in advanced malignancies. Liquid biopsy enhances diagnostic accessibility and enables real-time monitoring of minimal residual disease and treatment resistance. Despite these advances, widespread clinical adoption remains constrained by technical limitations (e.g., coverage uniformity and sample quality), economic challenges (high costs and complex reimbursement), and interpretative issues, including the management of variants of uncertain significance (VUSs). Conclusions: NGS is central to precision oncology, enabling molecularly driven cancer care. Integration with artificial intelligence, single-cell sequencing, spatial transcriptomics, multi-omics, and nanotechnology promises to overcome current limitations, advancing personalized treatment strategies. Standardization of workflows, cost reduction, and improved bioinformatics expertise are critical for its full clinical integration.

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Cite This Study

Isaic et al. (2025) studied this question.

synapsesocial.com/papers/68d4759931b076d99fa6d87dhttps://doi.org/10.3390/diagnostics15192425
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