{"doi":"10.1016/j.ctarc.2025.101043","title":"Cutting-edge drug resistance analysis of major cancers at single-cell level","abstract":"Drug resistance, which means cancer cells are resistant to treatments, has been a major problem in cancer treatment. While drug tolerance which defines the long survival of cancer cells could be a possible reason, analyzing the sources and effects of their mechanisms at the single-cell level is both promising and challenging due to inter- and intra-tumor heterogeneity. In this review, we discuss recent advances in analyzing cell-level drug resistance, which open new avenues to explore the sources of drug resistance, the kinetics of drug resistance development, the interaction between cell states and drug resistance, and the linkage between cancer heterogeneity and drug resistance. Our review highlights the contributions of single-cell multi-omic sequencing techniques for analyzing drug tolerance (resistance) and discusses the methodology needs to realizing their power. • Drug resistance has been a challenging problem in cancer treatment, and analyzing the sources and effects of their mechanisms at the single-cell level is both promising and challenging due to inter- and intra-tumor heterogeneity. • In this review, we discuss recent advances in analyzing cell-level drug resistance, which open new avenues to explore the sources of drug resistance, the kinetics of drug resistance development, the interaction between cell states and drug resistance, and the linkage between cancer heterogeneity and drug resistance. • Our review highlights the contributions of single-cell multi-omic sequencing techniques for analyzing drug tolerance (resistance) and discusses the challenges to realizing their power.","journal":"Cancer Treatment and Research Communications","year":2025,"id":583205,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9496,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1272475,"name":"Zhiyuan Cao","orcid":null,"position":1,"is_corresponding":false},{"id":1272474,"name":"Wenxin Long","orcid":null,"position":2,"is_corresponding":false},{"id":2737,"name":"Luca Pinello","orcid":"0000-0003-1195-9607","position":3,"is_corresponding":false},{"id":18267,"name":"Tianyu Liu","orcid":"0000-0002-9412-6573","position":0,"is_corresponding":true}],"reference_count":27,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:59:03.725721Z","pmid":"41325731","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}