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Br J Dermatol. 2019 Aug;181(2):350-357. doi: 10.1111/bjd.17258. Epub 2018 Nov 25.

The PROCLIPI international registry of early-stage mycosis fungoides identifies substantial diagnostic delay in most patients.

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European Co-ordinating PROCLIPI Centre for PROCLIPI, University Hospitals Birmingham, Birmingham, U.K.
Member of the European Organisation of Research and Treatment of Cancer (EORTC), Cutaneous Lymphoma Task Force.
Member of the Cutaneous Lymphoma International Consortium (CLIC).
Member of the UK Cutaneous Lymphoma Group.



Survival in mycosis fungoides (MF) is varied and may be poor. The PROCLIPI (PROspective Cutaneous Lymphoma International Prognostic Index) study is a web-based data collection system for early-stage MF with legal data-sharing agreements permitting international collaboration in a rare cancer with complex pathology. Clinicopathological data must be 100% complete and in-built intelligence in the database system ensures accurate staging.


To develop a prognostic index for MF.


Predefined datasets for clinical, haematological, radiological, immunohistochemical, genotypic, treatment and quality of life are collected at first diagnosis of MF and annually to test against survival. Biobanked tissue samples are recorded within a Federated Biobank for translational studies.


In total, 430 patients were enrolled from 29 centres in 15 countries spanning five continents. Altogether, 348 were confirmed as having early-stage MF at central review. The majority had classical MF (81·6%) with a CD4 phenotype (88·2%). Folliculotropic MF was diagnosed in 17·8%. Most presented with stage I (IA: 49·4%; IB: 42·8%), but 7·8% presented with enlarged lymph nodes (stage IIA). A diagnostic delay between first symptom development and initial diagnosis was frequent [85·6%; median delay 36 months (interquartile range 12-90)]. This highlights the difficulties in accurate diagnosis, which includes lack of a singular diagnostic test for MF.


This confirmed early-stage MF cohort is being followed-up to identify prognostic factors, which may allow better management and improve survival by identifying patients at risk of disease progression. This study design is a useful model for collaboration in other rare diseases, especially where pathological diagnosis can be complex.


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