The Research Progress of Malignant Tumor Stemness and Its Quantitative Methods
SUN Xuemeng1,2, LIU Fangyuan1,3, SU Liya2*
Cancer stem cells are believed to play an important role in the progression, treatment resistance and recurrence of tumors, which make it attractive in the field of malignancy. Next-generation sequencing generated large scale of sequencing data and provided abundant genetic and molecular atlas of malignancy instead of traditional sorting and extracting methods based on flow cytometry. With the innovation of computational methods, researchers utilized stemness score to describe and define stemness by improved algorithms and combinatorial strategies by molecular features or machine learning. The quantitative calculation of stemness has guiding significance for the research on regulated mechanism of stemness in malignant tumor, and modeling and forecasting by stemness score provide guidance to the treatment and prognosis of cancer patients.
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