Exploration and Application of Malignant Cell Heterogeneity Analysis with Single-Cell Transcriptome Sequencing Technology

Cancer remains a formidable global health burden owing to its persistently high incidence and mortality, highlighting the need to elucidate its underlying biological mechanisms. Such insights are crucial for refining diagnostic precision and therapeutic efficacy. Notably, human tumors represent highly heterogeneous ecosystems, comprising a dynamic interplay between malignant cells and non-malignant components, such as immune infiltrates and stromal elements. This cellular heterogeneity constitutes a major obstacle in tumor research. Recent technological advancements have enabled the development and application of novel tools for investigating tumor heterogeneity. In this context, single-cell sequencing technologies emerged as transformative tools for dissecting tumor architecture at a cellular resolution, offering unprecedented insights into the cellular diversity and molecular underpinnings of cancer. In particular, single-cell RNA sequencing (scRNA-seq) has been widely used to analyze the tumor microenvironment, particularly its immune components, thereby providing a valuable framework for understanding tumor-immune system interactions. However, the intrinsic heterogeneity of tumor cells has received comparatively less attention, with limited studies focusing on these malignant populations. Comprehensive profiling of tumor cells has become increasingly feasible as scRNA-seq technologies continue to evolve, offering higher throughput, increased cell capture efficiency, and more advanced analytical pipelines. Despite these advancements, current applications of scRNA-seq remain primarily focused on immune and stromal cell populations. Therefore, a paradigm shift is warranted, redirecting the investigative focus toward tumor cells and gaining deeper insights into tumorigenesis and therapeutic vulnerabilities.