Figure 4 Example of PK/PD simulation to optimize a vinorelbine treatment regimen Figure 4 | Example of PK/PD simulation to optimize a vinorelbine treatment.

Slides:



Advertisements
Similar presentations
Results: In the presence of PD measurements, PK data provided little additional information. By a limited PD sampling the number of patients on target.
Advertisements

Rivaroxaban Has Predictable Pharmacokinetics (PK) and Pharmacodynamics (PD) When Given Once or Twice Daily for the Treatment of Acute, Proximal Deep Vein.
Figure 1 Estimated annual percentages of new
Figure 1. Trial profile. From: Efficacy of high-dose alkylating chemotherapy in HER2/neu-negative breast cancer Ann Oncol. 2006;17(4): doi: /annonc/mdl001.
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Underreporting by physicians of specific treatment-associated symptoms by physicians in the TORCH trial Figure 2 | Underreporting by physicians.
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 5 Mutational heterogeneity in oesophageal and gastric cancer
Figure 2 Multiscale modelling in oncology
Figure 5 Schematic illustration of different clinical trial designs
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Monitoring clonal evolution using liquid biopsies
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Copy-number variations in multiple myeloma
Figure 5 Identification of mucinous carcinoma
Figure 6 Double opposed-field irradiation of an idealized geometry
Figure 4 Precision prescribing
Figure 2 Bad-metal behaviour and electron correlations
Figure 1 Underreporting of treatment-related toxicities by physicians, relative to patients with either advanced-stage lung cancer, or early-stage breast.
Figure 3 Proportion of patients for whom NEDA
Figure 2 Therapeutic targeting of the PI3K/AKT/mTOR pathway
Figure 1 Proposed treatment algorithm for advanced gastroesophageal cancer based on publish recommendations Figure 1 | Proposed treatment algorithm for.
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 4 Example of a patients with CUP
Figure 1 CAR-T-cell design
Figure 2 Examples of histopathological validation
Figure 4 Effects of delaying cardioprotective medications after anthracycline administration Figure 4 | Effects of delaying cardioprotective medications.
Figure 1 Cost of one month of treatment with
Figure 2 The association between CD8+ T‑cell density of the tumour
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Drug cycling with collateral sensitivity
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Possible modalities for reconciliation of patient's and physician's report of symptomatic treatment-associated toxicities Figure 3 | Possible.
chemotherapy for patients with MC versus those with AC
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 NIR fluorescence is more suitable for
Predictive Performance of a Myelosuppression Model for Dose Individualization; Impact of Type and Amount of Information Provided Johan E. Wallin, Lena.
Figure 1 Critical signalling pathways involved in PDAC pathogenesis
Figure 2 Nonmalignant tissue can be spared from radiation
Figure 4 Treatment plans using stereotactic body radiotherapy (SBRT)
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 3 Summary of overall survival by Kaplan–Meier
Figure 3 Clinical trial design in charged-particle therapy (CPT)
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Median monthly launch price of a new anticancer drug,
Figure 2 Key features of gastric cancer subtypes according to The Cancer Genome Atlas (TCGA) Figure 2 | Key features of gastric cancer subtypes according.
Figure 2 Host immune responses, not the radiosensitivity
Nat. Rev. Clin. Oncol. doi: /nrclinonc
the SNP profile using 26 prostate cancer GWAS risk SNPs
Figure 5 Palliative-care-referral patterns
Figure 2 Frequency and overlap of alterations
Figure 2 Variations between planned and delivered doses of radiation
MIC distributions of selected β-lactam antimicrobial agents for H
The role of pharmacokinetics/pharmacodynamics in setting clinical MIC breakpoints: the EUCAST approach  J.W. Mouton, D.F.J. Brown, P. Apfalter, R. Cantón,
Figure 5 Schematic overview of a clinical decision-support
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 7 Overview of the methodological processes for
Figure 4 Radiogenomics analysis can reveal relationships
Figure 2 Radiomics in cardiology
Figure 1 Overview of the imaging biomarker roadmap
Figure 3 Determination of the primary site
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 Gene-expression quantification methods
Presentation transcript:

Figure 4 Example of PK/PD simulation to optimize a vinorelbine treatment regimen Figure 4 | Example of PK/PD simulation to optimize a vinorelbine treatment regimen. The empirical metronomic regimen, incorporating a 50 mg fixed dose of vinorelbine on days 1, 3 and 5 (D1-D3-D5 50 mg) of a 7-day cycle (left panels), can provide substantial clinical benefit to many patients; however, mathematical modelling has helped to identify an alternative dynamic dosing schedule (right panels) of 30 mg, 60 mg and 30 mg on days 1, 2 and 4 (D1-D2-D4 30-60-30), respectively, which was predicted to achieved a higher antiproliferative efficacy (lower panels), while displaying the same safety profile based on absolute neutrophil count (middle panels)112. Shading represents confidence intervals. Permission obtained from Springer International Publishing © Barbolosi, D. et al. Cancer Chemother. Pharmacol. 74, 647–652 (2014). Permission obtained from Springer International Publishing © Barbolosi, D. et al. Cancer Chemother. Pharmacol. 74, 647–652 (2014) Barbolosi, D. et al. (2015) Computational oncology — mathematical modelling of drug regimens for precision medicine Nat. Rev. Clin. Oncol. doi:10.1038/nrclinonc.2015.204