Jos B. Poell
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
Jos B. Poell has a total of 146 co-authors. Here are the top co-authors by number of shared publications:
- Ruud H. Brakenhoff
Department of Otolaryngology/Head and Neck Surgery, Amsterdam UMC Location VUmc, 1081HV Amsterdam, The Netherlands
57 shared publications - Elisabeth Bloemena
Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, The Netherlands
56 shared publications - Leon J. Wils
Amsterdam UMC Location Vrije Universiteit Amsterdam, Oral and Maxillofacial Surgery and Oral Pathology Amsterdam The Netherlands
51 shared publications - Elisabeth R. Brouns
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Otolaryngology/Head and Neck Surgery, Cancer Center Amsterdam, Amsterdam, The Netherlands
50 shared publications - Jan G. A. M. de Visscher
Department of Oral and Maxillofacial Surgery, Amsterdam UMC, Amsterdam, the Netherlands
49 shared publications - Ilkay Evren
Amsterdam UMC Location Vrije Universiteit Amsterdam, Oral and Maxillofacial Surgery and Oral Pathology Amsterdam The Netherlands
48 shared publications
Latest Publications
- Open Access
- 21 May 2026
- Published by IOS Press
- Vol. 336, 2004-2008
Monitoring of Potential Malignant Oral Lesions and Oral Cancer; Touchpoints for Innovations to Improve Oral Healthcare
Introduction: Oral potentially malignant disorders (OPMDs) have a high risk for malignant transformation. Currently the gold standard for monitoring of these lesions is through a biopsy. The aim of this study was to identify and explore potential touchpoints based on a service design perspective for improvement of the detection and monitoring of OPMDs and oral cancer. Methods: Interviews were conducted in 42 patients (oral leukoplakia (OL) and oral cancer (OC) patients), focusing on experiences within the diagnostic and monitoring process of their (pre)malignant lesions and analyzed through thematic analysis. Results: The need for innovation was most evident in several critical phases: the initial stage of symptom recognition and referral to a specialist and the ongoing monitoring phase, at the specialist and at home. Conclusion: From a patients’ perspective for both OL and OC, touchpoints for innovations are perceived to be mostly needed in the detection phase. This underlines the need for the development of diagnostic tests to support more effective, patient-centered solutions.
- 21 May 2026
- Published by IOS Press
- Vol. 336, 2004-2008
Open AccessMonitoring of Potential Malignant Oral Lesions and Oral Cancer; Touchpoints for Innovations to Improve Oral Healthcare
Introduction: Oral potentially malignant disorders (OPMDs) have a high risk for malignant transformation. Currently the gold standard for monitoring of these lesions is through a biopsy. The aim of this study was to identify and explore potential touchpoints based on a service design perspective for improvement of the detection and monitoring of OPMDs and oral cancer. Methods: Interviews were conducted in 42 patients (oral leukoplakia (OL) and oral cancer (OC) patients), focusing on experiences within the diagnostic and monitoring process of their (pre)malignant lesions and analyzed through thematic analysis. Results: The need for innovation was most evident in several critical phases: the initial stage of symptom recognition and referral to a specialist and the ongoing monitoring phase, at the specialist and at home. Conclusion: From a patients’ perspective for both OL and OC, touchpoints for innovations are perceived to be mostly needed in the detection phase. This underlines the need for the development of diagnostic tests to support more effective, patient-centered solutions.
- Open Access
- 1 April 2026
- Published by Elsevier in Translational Oncology
- Vol. 67, 102744
Supersensitive and robust disease monitoring in oropharyngeal cancer patients by circulating tumor HPV-DNA sequencing (ctHPV-DNAseq)
- 1 April 2026
- Published by Elsevier in Translational Oncology
- Vol. 67, 102744
Open AccessSupersensitive and robust disease monitoring in oropharyngeal cancer patients by circulating tumor HPV-DNA sequencing (ctHPV-DNAseq)
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S7 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of type of changes found in 12 target genes in 89 OL samples. Top: In the left graph the distribution of the classes of mutations is depicted. In the middle graph the type of variants is shown. In the right graph the nucleotide changes are indicated. Bottom: In the left graph the number of mutations per sample is indicated. In the middle graph the number of variant classes found per sample is shown. In the right graph the top 10 mutated genes are depicted. Del = deletion. Ins = insert. SNP = single nucleotide polymorphism. SNV = Single nucleotide variant.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S7 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of type of changes found in 12 target genes in 89 OL samples. Top: In the left graph the distribution of the classes of mutations is depicted. In the middle graph the type of variants is shown. In the right graph the nucleotide changes are indicated. Bottom: In the left graph the number of mutations per sample is indicated. In the middle graph the number of variant classes found per sample is shown. In the right graph the top 10 mutated genes are depicted. Del = deletion. Ins = insert. SNP = single nucleotide polymorphism. SNV = Single nucleotide variant.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S4 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Example staining of differentiated dysplasia. Differentiated dysplasia is characterized by a basal layer of small cells with hyperchromatic or open nuclei with small nucleoli with an abrupt transition to suprabasal large cells with abundant, eosinophilic cytoplasm with differences in eosinophilia, intercellular edema with clearly visible desmosomes, and large, open nuclei with prominent nucleoli.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S4 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Example staining of differentiated dysplasia. Differentiated dysplasia is characterized by a basal layer of small cells with hyperchromatic or open nuclei with small nucleoli with an abrupt transition to suprabasal large cells with abundant, eosinophilic cytoplasm with differences in eosinophilia, intercellular edema with clearly visible desmosomes, and large, open nuclei with prominent nucleoli.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S9 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of CNA’s found in a cohort of 312 OSCC samples obtained from the TCGA database. Frequency of gains (in blue) and losses (in red) for the entire cohort are shown on the y-axis. Chromosomes are shown on the x-axis. Top 5 most frequently affected chromosome regions are indicated by black arrows.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S9 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of CNA’s found in a cohort of 312 OSCC samples obtained from the TCGA database. Frequency of gains (in blue) and losses (in red) for the entire cohort are shown on the y-axis. Chromosomes are shown on the x-axis. Top 5 most frequently affected chromosome regions are indicated by black arrows.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Tables S1-2 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Supplementary Table S1: Per sample sequencing characteristics; Supplementary Table S2: Co-occurrence rates and odds ratios for presence of dysplasia and investigated genomic markers.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Tables S1-2 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Supplementary Table S1: Per sample sequencing characteristics; Supplementary Table S2: Co-occurrence rates and odds ratios for presence of dysplasia and investigated genomic markers.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S6 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Copy number profiles and mutations for biopsies from the oral leukoplakia and the tumor from two patients that have a different origin. For each lesion the location, the copy number profile and the mutations are shown. For each mutation the gene, the variant allele frequency (VAF) and amino acid change is indicated.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S6 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Copy number profiles and mutations for biopsies from the oral leukoplakia and the tumor from two patients that have a different origin. For each lesion the location, the copy number profile and the mutations are shown. For each mutation the gene, the variant allele frequency (VAF) and amino acid change is indicated.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S10 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of Kaplan-Meier curves for several investigated genetic markers in 89 OL samples. On the y-axis the fraction remaining free of malignant transformation over time is shown. The x-axis shows the time in years. The table below the figure specifies the number of patients at risk at the indicated timepoints for the corresponding groups. (A) Kaplan-Meier curves for presence of at least one CNA and four significant chromosome regions. (B) Kaplan-Meier curves for the presence of at least one mutation and one significantly affected gene, TP53. CNA = Copy number aberration. HR = Hazard ratio.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S10 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of Kaplan-Meier curves for several investigated genetic markers in 89 OL samples. On the y-axis the fraction remaining free of malignant transformation over time is shown. The x-axis shows the time in years. The table below the figure specifies the number of patients at risk at the indicated timepoints for the corresponding groups. (A) Kaplan-Meier curves for presence of at least one CNA and four significant chromosome regions. (B) Kaplan-Meier curves for the presence of at least one mutation and one significantly affected gene, TP53. CNA = Copy number aberration. HR = Hazard ratio.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of the inclusion of patient samples from the consecutive oral leukoplakia cohort. lcWGS = Low coverage whole genome sequencing.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of the inclusion of patient samples from the consecutive oral leukoplakia cohort. lcWGS = Low coverage whole genome sequencing.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of laboratory methods for the processing of oral leukoplakia biopsies for next generation sequencing.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Elucidating the Genetic Landscape of Oral Leukoplakia to Predict Malignant Transformation
Overview of laboratory methods for the processing of oral leukoplakia biopsies for next generation sequencing.