BioMEL : a translational research biobank of melanocytic lesions and melanoma
(2024) In BMJ Open 14(2).- Abstract
Introduction Diagnosing invasive cutaneous melanoma (CM) can be challenging due to subjectivity in distinguishing equivocal nevi, melanoma in situ and thin CMs. The underlying molecular mechanisms of progression from nevus to melanoma must be better understood. Identifying biomarkers for treatment response, diagnostics and prognostics is crucial. Using biomedical data from biobanks and population-based healthcare data, translational research can improve patient care by implementing evidence-based findings. The BioMEL biobank is a prospective, multicentre, large-scale biomedical database on equivocal nevi and all stages of primary melanoma to metastases. Its purpose is to serve as a translational resource, enabling researchers to uncover... (More)
Introduction Diagnosing invasive cutaneous melanoma (CM) can be challenging due to subjectivity in distinguishing equivocal nevi, melanoma in situ and thin CMs. The underlying molecular mechanisms of progression from nevus to melanoma must be better understood. Identifying biomarkers for treatment response, diagnostics and prognostics is crucial. Using biomedical data from biobanks and population-based healthcare data, translational research can improve patient care by implementing evidence-based findings. The BioMEL biobank is a prospective, multicentre, large-scale biomedical database on equivocal nevi and all stages of primary melanoma to metastases. Its purpose is to serve as a translational resource, enabling researchers to uncover objective molecular, genotypic, phenotypic and structural differences in nevi and all stages of melanoma. The main objective is to leverage BioMEL to significantly improve diagnostics, prognostics and therapy outcomes of patients with melanoma. Methods and analysis The BioMEL biobank contains biological samples, epidemiological information and medical data from adult patients who receive routine care for melanoma. BioMEL is focused on primary and metastatic melanoma, but equivocal pigmented lesions such as clinically atypical nevi and melanoma in situ are also included. BioMEL data are gathered by questionnaires, blood sampling, tumour imaging, tissue sampling, medical records and histopathological reports. Ethics and dissemination The BioMEL biobank project is approved by the national Swedish Ethical Review Authority (Dnr. 2013/101, 2013/339, 2020/00469, 2021/01432 and 2022/02421-02). The datasets generated are not publicly available due to regulations related to the ethical review authority. Trial registration number NCT05446155.
(Less)
- author
- organization
-
- Dermatology and Venereology (Lund)
- LUSCaR- Lund University Skin Cancer Research group (research group)
- LUCC: Lund University Cancer Centre
- Melanoma
- Lund Melanoma Study Group (research group)
- Surgery (Lund)
- Melanoma Genomics (research group)
- LU Profile Area: Light and Materials
- Head and Neck Cancer Research Group (research group)
- Clinical Sciences, Helsingborg
- publishing date
- 2024-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- cancer genetics, dermatological tumours, dermatopathology, diagnostic imaging, health informatics
- in
- BMJ Open
- volume
- 14
- issue
- 2
- article number
- e069694
- publisher
- BMJ Publishing Group
- external identifiers
-
- pmid:38309755
- scopus:85184003657
- ISSN
- 2044-6055
- DOI
- 10.1136/bmjopen-2022-069694
- language
- English
- LU publication?
- yes
- id
- 964fb0ee-fe82-4f17-951b-d7a1e2574123
- date added to LUP
- 2024-03-06 15:08:13
- date last changed
- 2024-04-18 15:55:48
@article{964fb0ee-fe82-4f17-951b-d7a1e2574123, abstract = {{<p>Introduction Diagnosing invasive cutaneous melanoma (CM) can be challenging due to subjectivity in distinguishing equivocal nevi, melanoma in situ and thin CMs. The underlying molecular mechanisms of progression from nevus to melanoma must be better understood. Identifying biomarkers for treatment response, diagnostics and prognostics is crucial. Using biomedical data from biobanks and population-based healthcare data, translational research can improve patient care by implementing evidence-based findings. The BioMEL biobank is a prospective, multicentre, large-scale biomedical database on equivocal nevi and all stages of primary melanoma to metastases. Its purpose is to serve as a translational resource, enabling researchers to uncover objective molecular, genotypic, phenotypic and structural differences in nevi and all stages of melanoma. The main objective is to leverage BioMEL to significantly improve diagnostics, prognostics and therapy outcomes of patients with melanoma. Methods and analysis The BioMEL biobank contains biological samples, epidemiological information and medical data from adult patients who receive routine care for melanoma. BioMEL is focused on primary and metastatic melanoma, but equivocal pigmented lesions such as clinically atypical nevi and melanoma in situ are also included. BioMEL data are gathered by questionnaires, blood sampling, tumour imaging, tissue sampling, medical records and histopathological reports. Ethics and dissemination The BioMEL biobank project is approved by the national Swedish Ethical Review Authority (Dnr. 2013/101, 2013/339, 2020/00469, 2021/01432 and 2022/02421-02). The datasets generated are not publicly available due to regulations related to the ethical review authority. Trial registration number NCT05446155.</p>}}, author = {{Helkkula, Teo and Christensen, Gustav and Ingvar, Christian and Isaksson, Karolin and Harbst, Katja and Persson, Bertil and Ingvar and Hafström, Anna and Carneiro, Ana and Gaspar, Viktoria and Jönsson, Göran and Nielsen, Kari}}, issn = {{2044-6055}}, keywords = {{cancer genetics; dermatological tumours; dermatopathology; diagnostic imaging; health informatics}}, language = {{eng}}, number = {{2}}, publisher = {{BMJ Publishing Group}}, series = {{BMJ Open}}, title = {{BioMEL : a translational research biobank of melanocytic lesions and melanoma}}, url = {{http://dx.doi.org/10.1136/bmjopen-2022-069694}}, doi = {{10.1136/bmjopen-2022-069694}}, volume = {{14}}, year = {{2024}}, }