Karlijn Verkerk
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Karlijn Verkerk has a total of 82 co-authors. Here are the top co-authors by number of shared publications:
- Emile E. Voest
Division of Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
49 shared publications - Hans Gelderblom
Leiden University Medical Center Leiden Netherlands
47 shared publications - Vincent van der Noort
Biometrics Department, Netherlands Cancer Institute, Amsterdam, the Netherlands
44 shared publications - Birgit S. Geurts
Division of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
43 shared publications - Laurien J. Zeverijn
Division of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
43 shared publications - Miguel Parra-Martinez
Division of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
33 shared publications
Latest Publications
- 23 June 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 244, 116906
Trametinib for NRAS-mutated tumors: Results from the Drug Rediscovery Protocol
- 23 June 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 244, 116906
Trametinib for NRAS-mutated tumors: Results from the Drug Rediscovery Protocol
- Top Cited PapersOpen Access
- 15 April 2026
- Published by Springer Nature in Nature
- Vol. 653 (8114) , 558-566
Prospective evaluation of genomics-guided off-label treatment
Anticancer drugs are frequently used off-label for tumours that are genetically similar to the approved indication. However, outcomes are rarely captured systematically, limiting evidence-based decision-making and risking repeated futile treatment. The Drug Rediscovery Protocol (DRUP; ClinicalTrials.gov ID: NCT02925234) prospectively evaluates such off-label use in patients in the Netherlands with advanced solid tumours who lack standard treatment options and harbour actionable genomic alterations1. Here we present results of 1,610 patients who began treatment with 37 different off-label drugs between July 2016 and May 2024 in the DRUP trial. Of these patients, 1,363 were response-evaluable, including 533 (39.1%) with rare cancers. The clinical benefit rate (confirmed response or stable disease for at least 16 weeks) was 34.9% (95% confidence interval, 32.2–37.6) and the objective response rate was 15.7% (95% confidence interval, 13.7–17.9). Median progression-free and overall survival were 3.4 months (95% confidence interval, 2.8–3.5) and 8.2 months (95% confidence interval, 7.6–8.8), respectively. Grade 3 or higher treatment-related adverse events occurred in 28.4% of patients. Notably, evidence generated in DRUP was used for reimbursement decisions by the regulatory bodies in the Netherlands2. Although activity across all tumour–drug combinations was modest, defined molecular subgroups and exceptional responders (7.0%) achieved meaningful benefit. To maximize patient benefit, we recommend that off-label precision medicines should be used only within frameworks that systematically evaluate efficacy and toxicity, support biomarker refinement and enable stepwise assessment toward potential future label expansion. These frameworks should prioritize high-confidence targets, early intervention, regulatory-aligned end-points and international collaboration.
- 15 April 2026
- Published by Springer Nature in Nature
- Vol. 653 (8114) , 558-566
Top Cited PapersOpen AccessProspective evaluation of genomics-guided off-label treatment
Anticancer drugs are frequently used off-label for tumours that are genetically similar to the approved indication. However, outcomes are rarely captured systematically, limiting evidence-based decision-making and risking repeated futile treatment. The Drug Rediscovery Protocol (DRUP; ClinicalTrials.gov ID: NCT02925234) prospectively evaluates such off-label use in patients in the Netherlands with advanced solid tumours who lack standard treatment options and harbour actionable genomic alterations1. Here we present results of 1,610 patients who began treatment with 37 different off-label drugs between July 2016 and May 2024 in the DRUP trial. Of these patients, 1,363 were response-evaluable, including 533 (39.1%) with rare cancers. The clinical benefit rate (confirmed response or stable disease for at least 16 weeks) was 34.9% (95% confidence interval, 32.2–37.6) and the objective response rate was 15.7% (95% confidence interval, 13.7–17.9). Median progression-free and overall survival were 3.4 months (95% confidence interval, 2.8–3.5) and 8.2 months (95% confidence interval, 7.6–8.8), respectively. Grade 3 or higher treatment-related adverse events occurred in 28.4% of patients. Notably, evidence generated in DRUP was used for reimbursement decisions by the regulatory bodies in the Netherlands2. Although activity across all tumour–drug combinations was modest, defined molecular subgroups and exceptional responders (7.0%) achieved meaningful benefit. To maximize patient benefit, we recommend that off-label precision medicines should be used only within frameworks that systematically evaluate efficacy and toxicity, support biomarker refinement and enable stepwise assessment toward potential future label expansion. These frameworks should prioritize high-confidence targets, early intervention, regulatory-aligned end-points and international collaboration.
- Open Access
- 11 March 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 238, 116674
BRAFV600E-mutated central nervous system tumors benefit from treatment with dabrafenib plus trametinib: Results from the Drug Rediscovery Protocol
- 11 March 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 238, 116674
Open AccessBRAFV600E-mutated central nervous system tumors benefit from treatment with dabrafenib plus trametinib: Results from the Drug Rediscovery Protocol
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Table S2 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Type of antibiotics (ATB) administered to patients in the MMR-d/MSI-H cohort.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S2 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Type of antibiotics (ATB) administered to patients in the MMR-d/MSI-H cohort.
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S8 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
5-OP-RU induces MAIT cell-mediated suppression of CD4+ T cell stimulation.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S8 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
5-OP-RU induces MAIT cell-mediated suppression of CD4+ T cell stimulation.
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Table S5 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Information on patient-derived (tumor) organoid lines.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S5 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Information on patient-derived (tumor) organoid lines.
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S5 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
HMBPP-producing bacteria induce Vδ2 T cell-mediated anti-tumor activity.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S5 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
HMBPP-producing bacteria induce Vδ2 T cell-mediated anti-tumor activity.
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S3 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Metagenomics data distribution in the MMR-d/MSI-H cohort.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S3 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Metagenomics data distribution in the MMR-d/MSI-H cohort.
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Table S1 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Clinical characteristics of the Microbe-ICB cohort.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S1 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Clinical characteristics of the Microbe-ICB cohort.
- Open Access
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Figure S4 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Functional dysbiosis correlates with ICB response in the MMR-d/MSI-H cohort.
- 12 January 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S4 from Microbial Metabolic Pathways Guide Response to Immune Checkpoint Blockade Therapy
Functional dysbiosis correlates with ICB response in the MMR-d/MSI-H cohort.