Header

UZH-Logo

Maintenance Infos

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


Scarisbrick, J J; Quaglino, P; Prince, H M; et al; Dummer, Reinhard (2018). The PROCLIPI international registry of early-stage mycosis fungoides identifies substantial diagnostic delay in most patients. British Journal of Dermatology:Epub ahead of print.

Abstract

Background 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. Objectives To develop a prognostic index for MF. Methods 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. Results 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. Conclusions 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.

Abstract

Background 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. Objectives To develop a prognostic index for MF. Methods 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. Results 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. Conclusions 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.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Dermatology Clinic
Dewey Decimal Classification:610 Medicine & health
Uncontrolled Keywords:Dermatology
Language:English
Date:25 November 2018
Deposited On:04 Jan 2019 11:19
Last Modified:05 Jan 2019 08:33
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0007-0963
OA Status:Closed
Publisher DOI:https://doi.org/10.1111/bjd.17258
PubMed ID:30267549

Download

Full text not available from this repository.
View at publisher

Get full-text in a library