PREMIUM

Predicting Response of metastatic Melanoma to Immunotherapy Using Machine learning...

Description

Cohort of patients with advanced cutaneous melanoma treated with first-line immune checkpoint inhibition from 11 treatment centers in the Netherlands. Collected data: Clinical data (age, sex, treatment type, BRAF mutation status, WHO performance st...

General Design

Type
Cohort study, Databank
Cohort type
Clinical cohort
Data collection type
Retrospective, Prospective
Design
Cross-sectional
Start/End data collection
2016 until 2023
PID
https://doi.org/10.71739/80pp-8882

Population

Countries
Netherlands (the)
Number of participants
1941
Population age groups
Adult (18+ years)
Main medical condition
  • II Neoplasms
Inclusion criteria
  • Age group inclusion criterion
  • Use of medication inclusion criterion

Organisations

Lead organisations
Additional organisations

Available Data & Samples

Data categories

  • Biological samples
  • Imaging data
  • Medical records

Sample categories

  • Tissue (FFPE)

Areas of information

  • Socio-demographic and economic characteristics
  • Medication and supplements
  • Death
  • Physical measures and assessments
  • Laboratory measures

Subpopulations

List of subpopulations for this resource...

No results for current selection

Collection events

List of collection events defined for this resource...

No results for current selection

Networks

Part of networks...

  • Welkom bij Health Data Space Utrecht, het portaal dat de regio Utrecht verbindt door onderzoekers en professionals samen te brengen om kennis en data te delen....

Publications

Access conditions

Data can only be used after approval of participating treatment centers....

Data access conditions
disease specific research
Data use conditions
  • collaboration required
  • ethics approval required
  • institution specific restriction
Data access fee
false
Release type
Closed dataset
Prelinked
false

Funding & Acknowledgements

Funding
This research was funded by The Netherlands Organization for Health Research and Development (ZonMW, project number 848101007), by an unrestricted grant of Stichting Hanarth Fonds, The Netherlands, and by Philips.