{"doi":"10.1038/s43856-025-01351-2","title":"Introducing iCatalog as a clinical decision support tool for collaborative pediatric precision oncology studies","abstract":null,"journal":"Communications Medicine","year":2026,"id":651741,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"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":386177,"name":"Lorena Lazo de la Vega","orcid":"0000-0003-3609-0098","position":1,"is_corresponding":false},{"id":1699888,"name":"Hannah Comeau","orcid":null,"position":2,"is_corresponding":false},{"id":1699889,"name":"Ergina Agastra","orcid":null,"position":3,"is_corresponding":false},{"id":680195,"name":"Luke Maese","orcid":"0000-0002-8739-9100","position":4,"is_corresponding":false},{"id":109186,"name":"AeRang Kim","orcid":"0000-0002-7813-5568","position":5,"is_corresponding":false},{"id":1187284,"name":"Ellen Sukharevsky","orcid":null,"position":6,"is_corresponding":false},{"id":1187281,"name":"Evelina Ceca","orcid":null,"position":7,"is_corresponding":false},{"id":867642,"name":"Laura Corson","orcid":"0000-0003-2772-3375","position":8,"is_corresponding":false},{"id":260826,"name":"Joseph White","orcid":"0000-0003-0289-686X","position":9,"is_corresponding":false},{"id":398283,"name":"Daniel A. 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Janeway","orcid":"0000-0001-6000-3594","position":18,"is_corresponding":false},{"id":871349,"name":"Wenjun Kang","orcid":"0000-0002-9207-4239","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Introducing iCatalog as a clinical decision support tool for collaborative pediatric precision oncology studies","abstract":"Next-generation sequencing (NGS) tests are integral to oncology care. To address the need for clinical and NGS data management, interpretation, and reporting, we developed iCatalog for the multi-institutional Individualized Cancer Therapy 2/Genomic Assessment Informs Novel Therapy Consortium (GAIN) pediatric precision oncology (PO) study. We designed iCatalog as a secure, web-based clinical decision support application that stores and integrates clinical, specimen, and molecular data from multiple sources at the patient level. The knowledge base (KB) and centralized patient/test database are intended to manage information for the 825 patients expected to enroll in the GAIN study. User permissions and access are controlled. Gene- and variant-level interpretation is facilitated through linked external resources and an internal KB that can be updated during application use. iCatalog generates editable, study-specific patient reports for each molecular test. Launched to support the GAIN study, iCatalog integrates genomic data from eight NGS platforms, generates 1002 clinical interpretation reports, and stores data for 1194 tests involving 777 patients with pediatric solid tumors across 133 diagnoses. The KB contains pediatric cancer-specific curations, authored by the research team, spanning 581 genes and 2659 variants (including 2146 single-nucleotide variants and insertions-deletions, 235 copy-number variants, 278 structural variants). iCatalog is a robust tool designed and proven to support a PO study. It integrates clinical and genomic data to facilitate the clinical interpretation and reporting of variants identified through NGS testing while maintaining a pediatric-specific KB generated during the study. As a scalable, modular platform, iCatalog can accelerate clinical decision-making and elevate PO insights across studies. iCatalog is a web-based application developed to support a study evaluating the benefit of tumor profiling in the care of young cancer patients. iCatalog combines information used to determine patient care implications of tumor profiling. Patient (e.g., age, cancer diagnosis), sample (e.g., identification number, date), and genomic data (e.g., mutations, deletions, amplifications) are merged. iCatalog links genomic results to knowledge repositories and auto-generates reports, allowing experts to easily create patient-specific reports for use in the clinic. On this platform, 1002 reports were generated detailing the therapeutic and diagnostic implications of tumor profiling. Pediatric-specific knowledge on 581 genes was generated. As tumor sequencing becomes standard of care, tools reducing barriers to interpreting results for patient care become more important. Kang, Lazo de la Vega et al. introduce iCatalog, a precision oncology reporting tool developed to address the needs of a large multi-institutional pediatric study. iCatalog combines a database for patient, sample, and genomic data to enable clinical interpretation of patient-level tumor profiling results.","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41571967","pmcid":"PMC12881501","openalex_id":"https://openalex.org/W7125496302","authors":[],"funders":[{"funder_name":"Funding for this study was provided by the Precision For Kids Pan Mass Challenge Team, the 4C’s Fund, Lamb Family Fund, C&S Wholesale Grocers, and C&S Charities.","grant_id":"","title":null}],"total_grants":1,"fwci":7.5015,"citation_percentile":0.93234353,"influential_citations":0,"citation_trend":[{"year":2026,"count":1}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"https://www.nature.com/articles/s43856-025-01351-2_reference.pdf","host_type":"journal"},{"url":"https://www.nature.com/articles/s43856-025-01351-2_reference.pdf","host_type":"publisher"},{"url":"https://www.nature.com/articles/s43856-025-01351-2","host_type":"publisher"},{"url":"https://www.nature.com/articles/s43856-025-01351-2.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1038/s43856-025-01351-2","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41571967","host_type":"repository"},{"url":"https://doaj.org/article/7835a5de31434813aaa09180132d8ccd","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12881501","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12881501/","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC12881501","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC12881501?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Genomics and Rare Diseases","Cancer Genomics and Diagnostics","Biomedical Text Mining and Ontologies"],"mesh_terms":[],"keywords":["Decision support system","Precision oncology","Clinical decision support system","Precision medicine","Modular design","Clinical decision making","MEDLINE"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Peace, Justice and strong institutions"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T10:34:27.757267Z","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":[]}