{"doi":"10.21203/rs.3.rs-3087126/v1","title":"Robust prediction of patient outcomes with immune checkpoint blockade therapy for cancer using common clinical, pathologic, and genomic features","abstract":"<title>Abstract</title> Despite the revolutionary impact of immune checkpoint blockade (ICB) in cancer treatment, accurately predicting patients’ responses remains elusive. We analyzed eight cohorts of ~2900 ICB-treated patients across 18 solid tumor types, the largest dataset to date, examining diverse clinical, pathologic, and genomic features. We developed the LOgistic Regression-based Immunotherapy-response Score (LORIS) using a transparent, compact 6-feature logistic regression model. LORIS outperforms previous signatures in ICB response prediction and can identify responsive patients, even those with low tumor mutational burden or tumor PD-L1 expression. Importantly, LORIS consistently predicts both objective responses and short-term and long-term survival across most cancer types. Moreover, LORIS showcases a near-monotonic relationship with ICB response probability and patient survival, enabling more precise patient stratification across the board. As our method is accurate, interpretable, and only utilizes a few readily measurable features, we anticipate it will help improve clinical decision-making practices in precision medicine to maximize patient benefit.","journal":"Research Square","year":2023,"id":409286,"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":0.5477,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1064801,"name":"Tiangen Chang","orcid":"0000-0003-1485-1992","position":1,"is_corresponding":false},{"id":991685,"name":"Yingying Cao","orcid":"0000-0003-2812-2299","position":2,"is_corresponding":false},{"id":1189279,"name":"Hannah Sfreddo","orcid":null,"position":3,"is_corresponding":false},{"id":732205,"name":"Saugato Rahman Dhruba","orcid":"0000-0001-5947-6757","position":4,"is_corresponding":false},{"id":251314,"name":"Se‐Hoon Lee","orcid":"0000-0002-9219-3350","position":5,"is_corresponding":false},{"id":504432,"name":"Cristina Valero","orcid":"0000-0003-3397-2888","position":6,"is_corresponding":false},{"id":620420,"name":"Seong‐Keun Yoo","orcid":"0000-0002-8749-7050","position":7,"is_corresponding":false},{"id":267982,"name":"Diego Chowell","orcid":"0000-0002-1355-5545","position":8,"is_corresponding":false},{"id":90772,"name":"Luc G.T. Morris","orcid":"0000-0002-4417-2280","position":9,"is_corresponding":false},{"id":3227,"name":"Eytan Ruppin","orcid":"0000-0002-7862-3940","position":0,"is_corresponding":true}],"reference_count":48,"raw_metadata":null,"created_at":"2026-07-19T01:21:27.199694Z","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":[]}