ArticleJAMA oncology2018
Estimation of the Percentage of US Patients With Cancer Who Benefit From Genome-Driven Oncology.
Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05189171 (MicroOrganoSphere Drug Screen to Lead Care), which is not on this map. Cited by 162 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
MicroOrganoSphere Drug Screen to Lead Care (MODEL) Precision Oncology Pilot Trial in Colorectal Cancer (CRC)
Who cites it
162 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Next-generation sequencing for guiding matched targeted therapies in people with relapsed or metastatic cancer.The Cochrane database of systematic reviews · 2025Pooled it
- Cardiovascular/anti-inflammatory drugs repurposed for treating or preventing cancer: A systematic review and meta-analysis of randomized trials.Cancer medicine · 2024Pooled it
- Clinical Outcomes of Molecular Tumor Boards: A Systematic Review.JCO precision oncology · 2021Pooled it
- Feasibility and value of genomic profiling in cancer of unknown primary: real-world evidence from prospective profiling study.Journal of the National Cancer Institute · 2023Trial
- Improving public cancer care by implementing precision medicine in Norway: IMPRESS-Norway.Journal of translational medicine · 2022Trial
- The PRECISE European initiative for cancer-vulnerability mapping and prediction.Nature genetics · 2026Article
- Article
- A case study of proteomics-guided personalized targeted therapy.Science China. Life sciences · 2026Article
- Towards convergence of AI and blockchain for personalized medicine in pharmacogenomics.Scientific reports · 2026Article
- CSF ctDNA analysis guides molecular reclassification of diffuse glioma patients.Journal of neuro-oncology · 2026Article
- Tumor cell intrinsic mechanisms of immune escape.Cell communication and signaling : CCS · 2026Review
- Impact of next-generation sequencing on routine clinical practice and patient inclusion in molecularly targeted clinical trials: a retrospective cohort analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- CD40/PI3K/FOXO1 axis rewiring drives microenvironment-dependent BIM silencing to sustain lymphoma growth and survival.Leukemia · 2026Article
- Development and Pre-clinical Feasibility of a Catheter-Based Platform for Interventional Phase-0 Drug Response Measurements.Annals of biomedical engineering · 2026Article
- A Patient-Derived Organ-on-Chip Platform for Modeling the Tumor Microenvironment and Drug Responses in Pancreatic Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Discover personalized drug opportunity and optimized tumor-infiltrating lymphocyte therapy for rare cancer: an organoid-based whole-journey clinical mapping study in a neuroendocrine cancer patient.Cellular oncology (Dordrecht, Netherlands) · 2026Article
- Inflammatory-Molecular Clusters as Predictors of Immunotherapy Response in Advanced Non-Small-Cell Lung Cancer.Journal of clinical medicine · 2026Article
- Tissue-autonomous pharmacological direction: how target expression landscapes convert balanced compounds into tissue-selective agents.Frontiers in pharmacology · 2026Article
- The patient journey and guideline-concordant care in colorectal cancer-is current practice enough?Frontiers in medicine · 2026Article
- Making sense of commercial genomic reports in oncology: a structured approach from clinical practice.Frontiers in oncology · 2026Article
102 more citing papers are in PubMed but not listed here.
Corrections and comments
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- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: To date, the benefit of genome-driven cancer therapy has not been quantified. Objective: We sought to estimate the annual percentage of patients in the United States with advanced or metastatic cancer who could be eligible for and benefit from US Food and Drug Administration (FDA)-approved genome-driven therapy from 2006 to 2018. Design, Setting, and Participants: Retrospective cross-sectional study using publically available data of (1) demographic characteristics of patients with advanced or metastatic cancer; (2) FDA data on cancer drugs approved from January 2006 through January 2018; (3) measures of response and duration of response from drug labels; and (4) published reports estimating the frequency of various genomic aberrations used to estimate what percentage of patients would have been eligible for and would have benefited from genome-driven therapy during the studied period. Main Outcomes and Measures: Estimated percentage of US patients with cancer eligible for and benefiting from genome-targeted and genome-informed therapy by year, response rate of genome-informed indications, and duration of response. Results: A total of 31 drugs with 38 FDA-approved indications met our inclusion criteria for genome-targeted or genome-informed therapy from January 1, 2006, through January 31, 2018. The estimated number of patients eligible for genome-targeted therapy in 2006 was 28 729 of a total 564 830 patients with metastatic cancer, or 5.09% (95% CI, 5.03%-5.14%). By 2018, this number had increased to 50 811 of 609 640, or 8.33% (95% CI, 8.26%-8.40%). For genome-informed therapy in 2006, the eligible number of patients was 59 301 of 564 830, or 10.50% (95% CI, 10.42%-10.58%). In 2018, genome-informed treatment could be offered to 94 157 of 609 640, or 15.44% (95% CI, 15.35%-15.53%) of patients with metastatic cancer. The percentage of patients with cancer estimated to benefit from genome-targeted therapy in 2006 was 0.70% (95% CI, 0.68%-0.72%), and in 2018, it had increased to 4.90% (95% CI, 4.85%-4.95%). For genome-informed treatment in 2006, the percentage estimated to benefit was 1.31% (95% CI, 1.28%-1.34%), and in 2018, it had increased to 6.62% (95% CI, 6.56%-6.68%). The median overall response rate for all genome-informed drugs through January 2018 was 54%, and the median duration of response was 29.5 months. Conclusions and Relevance: Although the number of patients eligible for genome-driven treatment has increased over time, these drugs have helped a minority of patients with advanced cancer. To accelerate progress in precision oncology, novel trial designs of genomic therapies should be developed, and broad portfolios of drug development, including immunotherapeutic and cytotoxic approaches, should be pursued.
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