{"entity":{"id":"paper-sicklick-nat-med","kind":"paper","name":"Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study","aka":[],"tldr":"Paper cited by one trial page, indexed on Europe PMC as PubMed record 31011206 and published in Nature Medicine; the citing page links this DOI, which is how the record was matched.","summary":"Cancer treatments have evolved from indiscriminate cytotoxic agents to selective genome- and immune-targeted drugs that have transformed the outcomes of some malignancies 1. Tumor complexity and heterogeneity suggest that the 'precision medicine' paradigm of cancer therapy requires treatment to be personalized to the individual patient 2-6. To date, precision oncology trials have been based on molecular matching with predetermined monotherapies 7-14. Several of these trials have been hindered by very low matching rates, often in the 5-10% range 15, and low response rates. Low matching rates may be due to the use of limited gene panels, restrictive molecular matching algorithms, lack of drug availability, or the deterioration and death of end-stage patients before therapy can be implemented. We hypothesized that personalized treatment with combination therapies would improve outcomes in patients with refractory malignancies. As a first test of this concept, we implemented a cross-institutional prospective study (I-PREDICT, NCT02534675) that used tumor DNA sequencing and timely recommendations for individualized treatment with combination therapies. We found that administration of customized multidrug regimens was feasible, with 49% of consented patients receiving personalized treatment. Targeting of a larger fraction of identified molecular alterations, yielding a higher 'matching score', was correlated with significantly improved disease control rates, as well as longer progression-free and overall survival rates, compared to targeting of fewer somatic alterations. Our findings suggest that the current clinical trial paradigm for precision oncology, which pairs one driver mutation with one drug, may be optimized by treating molecularly complex and heterogeneous cancers with combinations of customized agents.\n\nIndexed on Europe PMC as PubMed record 31011206 (DOI 10.1038/s41591-019-0407-5). Matched by DOI alone: one trial page cites this DOI among its external links (the pages are listed under Related), and this page was written so that the citation resolves inside OnCo. No figure has been checked by an editor.","asOf":"2026-09-22","links":[{"label":"Nat Med 2019","url":"https://doi.org/10.1038/s41591-019-0407-5"},{"label":"PubMed","url":"https://pubmed.ncbi.nlm.nih.gov/31011206/"},{"label":"Europe PMC","url":"https://europepmc.org/article/MED/31011206"}],"tags":["europepmc-ingest"],"related":[],"cancers":[],"sections":[],"technologies":[],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":[],"trials":["i-predict"],"people":[],"bottlenecks":[],"keyPapers":[],"journals":["nature-medicine"],"dependsOn":[],"notes":[],"journal":"Nature Medicine","year":2019,"doi":"10.1038/s41591-019-0407-5","pmid":"31011206","authors":"Sicklick JK, Kato S, Okamura R, et al.","paperType":"observational","findings":[],"whatItMeans":"One trial page on OnCo cites this paper by its DOI; this record gives the citation a page of its own so a reader can follow it without leaving OnCo. Read the abstract above alongside the citing page listed under Related; the record was created automatically from the Europe PMC entry and its figures have not been checked by hand.","caveats":["Matched to the citing OnCo records by DOI alone; the summary reproduces the Europe PMC abstract and no figure has been verified against the full paper."]},"route":"/key-papers/paper-sicklick-nat-med/","neighbours":{"trial":[{"id":"i-predict","kind":"trial","name":"I-PREDICT","route":"/trials/i-predict/"}],"journal":[{"id":"nature-medicine","kind":"journal","name":"Nature Medicine","route":"/journals/nature-medicine/"}]}}