{"doi":"10.1038/s41568-024-00754-y","title":"Emerging strategies to investigate the biology of early cancer","abstract":null,"journal":"Nature Reviews Cancer","year":2024,"id":625199,"datarank":0.6141516843333151,"base_score":4.0943445622221,"endowment":4.0943445622221,"self_citation_contribution":0.6141516843333151,"citation_network_contribution":0.0,"self_endowment_contribution":0.6141516843333151,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":59,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1616581,"name":"Xiwen Tang","orcid":"0009-0009-7129-349X","position":1,"is_corresponding":false},{"id":337043,"name":"Yuan Wang","orcid":"0000-0002-6324-6134","position":2,"is_corresponding":false},{"id":60554,"name":"Ran Zhou","orcid":"0000-0002-0562-4483","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Emerging strategies to investigate the biology of early cancer","abstract":"Early detection and intervention of cancer or precancerous lesions hold great promise to improve patient survival. However, the processes of cancer initiation and the normal-precancer-cancer progression within a non-cancerous tissue context remain poorly understood. This is, in part, due to the scarcity of early-stage clinical samples or suitable models to study early cancer. In this Review, we introduce clinical samples and model systems, such as autochthonous mice and organoid-derived or stem cell-derived models that allow longitudinal analysis of early cancer development. We also present the emerging techniques and computational tools that enhance our understanding of cancer initiation and early progression, including direct imaging, lineage tracing, single-cell and spatial multi-omics, and artificial intelligence models. Together, these models and techniques facilitate a more comprehensive understanding of the poorly characterized early malignant transformation cascade, holding great potential to unveil key drivers and early biomarkers for cancer development. Finally, we discuss how these new insights can potentially be translated into mechanism-based strategies for early cancer detection and prevention.","is_dataset_classified":null,"base_score":4.0943445622221,"endowment":4.0943445622221,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"39433978","pmcid":null,"openalex_id":"https://openalex.org/W4403586892","authors":[],"funders":[{"funder_name":"Fundação para a Ciência e a Tecnologia, I.P.","grant_id":"Incentivo/SAU/LA0001/2013","title":"Incentive - LA 1 - 2013"}],"total_grants":1,"fwci":10.5928,"citation_percentile":0.9904135,"influential_citations":0,"citation_trend":[{"year":2025,"count":36},{"year":2026,"count":23}],"oa_status":"closed","license":"Springer Nature TDM","oa_locations":[{"url":"https://www.nature.com/articles/s41568-024-00754-y.pdf","host_type":"publisher"},{"url":"https://www.nature.com/articles/s41568-024-00754-y","host_type":"publisher"},{"url":"https://doi.org/10.1038/s41568-024-00754-y","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/39433978","host_type":"repository"}],"fields_of_study":["Pancreatic and Hepatic Oncology Research","Epigenetics and DNA Methylation","Renal and related cancers","03 medical and health sciences","0302 clinical medicine"],"mesh_terms":["Animals","Artificial Intelligence","Cell Transformation, Neoplastic","Humans","Neoplasms","Precancerous Conditions","Biomarkers, Tumor","Disease Progression","Mice","Early Detection of Cancer"],"keywords":["Biology","Computational biology","Mice","Cell Transformation, Neoplastic","Artificial Intelligence","Neoplasms","Biomarkers, Tumor","Disease Progression","Animals","Humans","Precancerous Conditions","Early Detection of Cancer"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T06:04:30.842785Z","pmid":null,"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":[]}