Deciphering Treatment Resistance in NSCLC with Single-Cell Sequencing Technology

Main Article Content

Na Li
School of Resources and Environmental Engineering, Anhui University, Hefei 230000, China

DOI: https://doi.org/10.70267//lshe.20260108

Keywords

single-cell RNA sequencing, tumor heterogeneity, drug resistance, tumor microenvironment, NSCLC

Abstract

Acquired resistance to targeted and immune therapies severely limits the success of non-small cell lung cancer (NSCLC) treatment. Single-cell sequencing technologies now empower researchers to dissect this resistance at unprecedented resolution, moving beyond the averaging limitations of bulk genomics. This review highlights how single-cell and spatial multiomics approaches reveal key mechanisms of NSCLC resistance, from rare drug-tolerant subpopulations and cellular plasticity to immunosuppressive niches and metabolic adaptation within the TME. We also discuss emerging strategies-such as liquid biopsy and AI-driven data integration-that hold promise for translating these insights into more effective therapeutic interventions.

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Published
Feb 4, 2026
Conference Proceedings Volume
Vol. 12 (2026): Proceedings of the 2026 International Conference on Life Sciences and Health Engineering (IC-LSHE 2026)
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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Li, Na. “Deciphering Treatment Resistance in NSCLC With Single-Cell Sequencing Technology”. Exploring Science Academic Conference Series, vol. 12, Feb. 2026, pp. 61-71, https://doi.org/10.70267//lshe.20260108.

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