SynthesisJournal of clinical oncology : official journal of the American Society of Clinical Oncology2015
Impact of Precision Medicine in Diverse Cancers: A Meta-Analysis of Phase II Clinical Trials.
Synthesis in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers, 11 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
258 citing papers in PubMed, 11 syntheses or guidelines pooled it, 484 citations in OpenAlex.
- Risk-Benefit of Phase 2 Monotherapy Trials in Adult Solid Cancers: A Systematic Review and Meta-Analysis.International journal of cancer · 2026Pooled it
- Comprehensive genome profiling for treatment decisions in patients with metastatic tumors: real-world evidence meta-analysis and registry data implementation.Journal of the National Cancer Institute · 2025Pooled it
- Pooled it
- Risk and Benefit for Basket Trials in Oncology: A Systematic Review and Meta-Analysis.Targeted oncology · 2025Pooled it
- Background and clinical significance of biomarker-based patient enrichment in non-small-cell lung cancer drug development.Scientific reports · 2024Pooled it
- Correlation between biomarkers and treatment outcomes in diverse cancers: a systematic review and meta-analysis of phase I and II immunotherapy clinical trials.European journal of cancer (Oxford, England : 1990) · 2023Pooled it
- Risk and benefit for umbrella trials in oncology: a systematic review and meta-analysis.BMC medicine · 2022Pooled it
- Risk and Benefit for Targeted Therapy Agents in Pediatric Phase II Trials in Oncology: A Systematic Review with a Meta-Analysis.Targeted oncology · 2021Pooled it
- Circulating Tumour Cell Expression of Immune Markers as Prognostic and Therapeutic Biomarkers in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2020Pooled it
- Pooled it
- Efficacy and safety of anticancer drug combinations: a meta-analysis of randomized trials with a focus on immunotherapeutics and gene-targeted compounds.Oncoimmunology · 2020Pooled it
- Trial
- Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Trial
- Prospective high-throughput genome profiling of advanced cancers: results of the PERMED-01 clinical trial.Genome medicine · 2021Trial
- Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial.Nature medicine · 2019Trial
- Review
- Design Characteristics and Survival Outcomes of Local Trials Supporting the Approval of Targeted Anticancer Drugs in China.Cancer medicine · 2026Article
- The evolution of cancer therapeutics: from "undruggable" to "drugged".Translational cancer research · 2026Article
- Molecular Tumor Board-Directed Treatment for Patients with Advanced-Stage Solid Tumors: A Case-Control Real-World Study.Current oncology (Toronto, Ont.) · 2026Observational
198 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
purposeThe impact of a personalized cancer treatment strategy (ie, matching patients with drugs based on specific biomarkers) is still a matter of debate.
methodsWe reviewed phase II single-agent studies (570 studies; 32,149 patients) published between January 1, 2010, and December 31, 2012 (PubMed search). Response rate (RR), progression-free survival (PFS), and overall survival (OS) were compared for arms that used a personalized strategy versus those that did not.
resultsMultivariable analysis (both weighted multiple linear regression and random effects meta-regression) demonstrated that the personalized approach, compared with a nonpersonalized approach, consistently and independently correlated with higher median RR (31% v 10.5%, respectively; P < .001) and prolonged median PFS (5.9 v 2.7 months, respectively; P < .001) and OS (13.7 v 8.9 months, respectively; P < .001). Nonpersonalized targeted arms had poorer outcomes compared with either personalized targeted therapy or cytotoxics, with median RR of 4%, 30%, and 11.9%, respectively; median PFS of 2.6, 6.9, and 3.3 months, respectively (all P < .001); and median OS of 8.7, 15.9, and 9.4 months, respectively (all P < .05). Personalized arms using a genomic biomarker had higher median RR and prolonged median PFS and OS (all P ≤ .05) compared with personalized arms using a protein biomarker. A personalized strategy was associated with a lower treatment-related death rate than a nonpersonalized strategy (median, 1.5% v 2.3%, respectively; P < .001).
conclusionComprehensive analysis of phase II, single-agent arms revealed that, across malignancies, a personalized strategy was an independent predictor of better outcomes and fewer toxic deaths. In addition, nonpersonalized targeted therapies were associated with significantly poorer outcomes than cytotoxic agents, which in turn were worse than personalized targeted therapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.