{"doi":"10.1016/j.canlet.2025.217751","title":"Decipher the single-cell level responses to chemotherapy in pancreatic ductal adenocarcinoma by a cross-time context graph model","abstract":null,"journal":"Cancer Letters","year":2025,"id":653766,"datarank":0.19648319002250905,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0316913467222926,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0316913467222926,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":2,"citers_with_citation_signal":2,"citers_with_endowment":2,"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":723066,"name":"Yueze Liu","orcid":"0000-0001-8163-9129","position":1,"is_corresponding":false},{"id":1705891,"name":"Feihan Zhou","orcid":null,"position":2,"is_corresponding":false},{"id":1457893,"name":"Wenbo Guo","orcid":"0000-0002-7973-6795","position":3,"is_corresponding":false},{"id":770212,"name":"Guangyu Chen","orcid":"0000-0003-2873-640X","position":4,"is_corresponding":false},{"id":1563772,"name":"Jinxin Tao","orcid":null,"position":5,"is_corresponding":false},{"id":115845,"name":"Jingmin Huang","orcid":null,"position":6,"is_corresponding":false},{"id":1563770,"name":"Jiangdong Qiu","orcid":null,"position":7,"is_corresponding":false},{"id":242218,"name":"Hao Chen","orcid":"0000-0002-8874-0673","position":8,"is_corresponding":false},{"id":131906,"name":"Bo Ren","orcid":null,"position":9,"is_corresponding":false},{"id":246823,"name":"Lei You","orcid":"0000-0003-2293-4069","position":10,"is_corresponding":false},{"id":1167289,"name":"Yanan Shi","orcid":null,"position":11,"is_corresponding":false},{"id":572930,"name":"Gang Yang","orcid":"0000-0003-3674-1962","position":12,"is_corresponding":false},{"id":1563779,"name":"Taiping Zhang","orcid":null,"position":13,"is_corresponding":false},{"id":439943,"name":"Jin Gu","orcid":"0000-0003-3968-8036","position":14,"is_corresponding":false},{"id":1705892,"name":"Yupei Zhao","orcid":null,"position":15,"is_corresponding":false},{"id":1312482,"name":"Xinqi Li","orcid":"0009-0002-4799-8333","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Decipher the single-cell level responses to chemotherapy in pancreatic ductal adenocarcinoma by a cross-time context graph model","abstract":"Gemcitabine is commonly used for pancreatic ductal adenocarcinoma (PDAC), one of the most lethal cancer types. However, the drug resistance is a critical challenge for improving the PDAC chemotherapy. Here, we applied single-cell RNA sequencing (scRNA-seq) on PDAC patient-derived xenograft (PDX) models to study the complex cellular responses related to the gemcitabine resistances. To reconstruct dynamic tumor cell responses from these static scRNA-seq snapshots, we proposed scConGraph, a scalable bi-layer graph model that can efficiently integrate cross-time context information. Based on scConGraph, we observed that stemness and endoplasmic reticulum stress contribute to intrinsic resistance. As for acquired resistance, cancer cells may resist or evade gemcitabine treatment by activating the cell cycle, entering quiescence, or inducing epithelial-mesenchymal transition. Notably, GDF15 exhibited recurrent and significant upregulations among acquired-resistance cell subpopulations. Experimental validation confirmed that inhibiting GDF15 sensitizes tumor cells to gemcitabine, suggesting a potential target for gemcitabine-induced chemoresistance.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"40294840","pmcid":null,"openalex_id":"https://openalex.org/W4409841651","authors":[],"funders":[],"total_grants":0,"fwci":0.8477,"citation_percentile":0.70011451,"influential_citations":0,"citation_trend":[{"year":2026,"count":2}],"oa_status":"closed","license":"https://doi.org/10.15223/policy-004","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S0304383525003179?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0304383525003179?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.canlet.2025.217751","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/40294840","host_type":"repository"}],"fields_of_study":["Single-cell and spatial transcriptomics","Mathematical Biology Tumor Growth","Gene Regulatory Network Analysis"],"mesh_terms":["Gemcitabine","Animals","Antimetabolites, Antineoplastic","Deoxycytidine","Humans","Pancreatic Neoplasms","Gene Expression Regulation, Neoplastic","Drug Resistance, Neoplasm","Carcinoma, Pancreatic Ductal","Xenograft Model Antitumor Assays","Cell Line, Tumor","Mice","Growth Differentiation Factor 15","Epithelial-Mesenchymal Transition","Single-Cell Analysis"],"keywords":["DECIPHER","Context (archaeology)","Adenocarcinoma","Pancreatic ductal adenocarcinoma","Chemotherapy","Medicine","Oncology","Internal medicine","Pancreatic cancer","Pathology","Cancer research","Biology","Bioinformatics","Cancer","Chemoresistance","Intratumor Heterogeneity","Single-cell Rna Sequencing"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Zero hunger"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-11T00:30:57.672931Z","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":[]}