Nat. Rev. Clin. Oncol. doi: /nrclinonc

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Nat. Rev. Clin. Oncol. doi: /nrclinonc
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Figure 1 Number of somatic mutation rates across The Cancer Genome Atlas (TCGA) projects Figure 1 | Number of somatic mutation rates across The Cancer.
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 1 Concept of the therapeutic index
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Multiscale modelling in oncology
Figure 5 Schematic illustration of different clinical trial designs
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 Generations of cancer vaccine antigens
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 Key time points in the discovery and development of imatinib for the treatment of chronic myeloid leukaemia (CML) and gastrointestinal stromal.
Figure 2 Three-step approach to the assessment and management
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 1 Underreporting of treatment-related toxicities by physicians, relative to patients with either advanced-stage lung cancer, or early-stage breast.
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.
Figure 4 Example of a patients with CUP
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 CAR-T-cell design
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
Next-Generation Sequencing: Methodology and Application
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 1 Therapeutic targeting of the B-cell receptor (BCR)
Figure 1 Illustration of three complex somatic mutational phenomena
Figure 3 Drug cycling with collateral sensitivity
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Differences between MC and AC
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
Figure 2 Endocrine dysfunction in mitochondrial disease and their associated gene defects Figure 2 | Endocrine dysfunction in mitochondrial disease and.
Figure 1 The dynamic nature of resistance mechanisms can be
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 1 Translocations involved in multiple myeloma
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 2 Key features of gastric cancer subtypes according to The Cancer Genome Atlas (TCGA) Figure 2 | Key features of gastric cancer subtypes according.
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 5 Palliative-care-referral patterns
Figure 2 Frequency and overlap of alterations
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 6 Proposed model of clonal evolution in multiple myeloma
Figure 2 Effect of chromosomal instability tolerance
Figure 5 Schematic overview of a clinical decision-support
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Nat. Rev. Clin. Oncol. doi: /nrclinonc
Figure 7 Overview of the methodological processes for
Nat. Rev. Clin. Oncol. doi: /nrclinonc
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
Somatic mutational rates and survival analysis of IBD-CRC.
Figure 1 Gene-expression quantification methods
Nat. Rev. Clin. Oncol. doi: /nrclinonc
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Nat. Rev. Clin. Oncol. doi:10.1038/nrclinonc.2016.122 Figure 3 Most frequent somatic mutations in patients with multiple myeloma Figure 3 | Most frequent somatic mutations in patients with multiple myeloma. Mutation frequencies were calculated by averaging the data from three whole-exome sequencing studies comprising a total of 733 patients6,7,9. MM, multiple myeloma; WES, whole-exome sequencing. Manier, S. et al. (2016) Genomic complexity of multiple myeloma and its clinical implications Nat. Rev. Clin. Oncol. doi:10.1038/nrclinonc.2016.122