Erdheim-Chester disease (ECD) is a rare form of non-Langerhans cell histiocytosis that primarily affects adults but may also occur in pediatric patients. It is characterized by the accumulation of foamy histiocytes with a distinctive immunophenotype in multiple anatomical sites, most commonly the long bones, retroperitoneal and perirenal tissues, the heart, the central nervous system, and the pituitary gland. The disease shows marked clinical heterogeneity, ranging from localized and asymptomatic forms to severe manifestations with multiorgan involvement. From a pathogenetic perspective, ECD is mainly driven by gain-of-function mutations affecting the MAPK and PI3K-AKT pathways, particularly the BRAFV600E mutation, leading to aberrant activation of the MAPK and mTOR signaling pathways. The release of pro-inflammatory cytokines and chemokines plays a key role in systemic inflammation and tissue damage, resulting in significant complications and disability depending on the organs involved. Despite the significant efforts of international research in recent years, particularly given the extreme rarity of the disease (incidence below 5 cases per 10,000,000 adults per year), substantial knowledge gaps remain, especially with regard to the prediction of long-term outcomes, both in terms of survival and disability. Although some prognostic factors associated with survival have already been identified (such as central nervous system involvement), to date only limited-scale studies have systematically evaluated the prognosis of patients with ECD, focusing in particular on factors influencing organ-specific complications. Moreover, in clinical practice, several aspects that significantly affect patients' quality of life tend to be underestimated, partly due to the time required to perform comprehensive assessments using detailed questionnaires designed to quantify disease-related consequences, such as chronic disability, depression, and cognitive impairment. Nevertheless, there is a growing need for and interest in these parameters, commonly referred to as patient-reported outcomes. In light of these considerations, the development and implementation of a comprehensive prognostic score aimed at predicting survival and long-term disease outcomes could improve the overall assessment of patients and provide more accurate and clinically meaningful prognostic information.
Study Type
OBSERVATIONAL
Enrollment
1,000
National Institute of Health
Bethesda, Maryland, United States
NOT_YET_RECRUITINGMayo Clinic
Rochester, Minnesota, United States
NOT_YET_RECRUITINGMemorial Sloan Kettering Cancer Center
New York, New York, United States
NOT_YET_RECRUITINGHopital Pitiè-Salpetriere
Paris, France
NOT_YET_RECRUITINGMeyer Children's Hospital IRCCS, Firenze
Florence, Fi, Italy
RECRUITINGSan Raffaele Hospital
Milan, Italy, Italy
NOT_YET_RECRUITINGNewcastle Upon Tyne Hospitals NHS Foundation Trust
Newcastle, Newcastel, United Kingdom
NOT_YET_RECRUITINGOverall survival
The time from the patient's enrollment in the study until death or the last available follow-up
Time frame: 5 years
Association between belonging to a clinical cluster and survival
Clinical cluster of ECD
Time frame: 5 years
Association between organ damage and survival
organ damage related to the disease (e.g., chronic kidney failure)
Time frame: 5 years
Association between the treatment used (relative to the historical period) and survival
treatment received
Time frame: 5 years
Association between response to treatment and survival
complete response rate, partial response, stable disease, progression
Time frame: 5 years
Association between treatment toxicity and survival
incidence and severity of adverse events (classified according to CTCAE v6.0)
Time frame: 5 years
Association between comorbidities and survival
presence of malignant tumors and other chronic diseases
Time frame: 5 years
Association between geographical origin and survival
geographical origin
Time frame: at enrollment
Incidence of comorbidities secondary to the disease or treatment (e.g., secondary malignancies)
To assess the incidence of organ damage related to the disease or comorbidities secondary to the disease or the treatment received
Time frame: 5 years
Association between disease and quality of life
Assessment of the impact on quality of life following disease diagnosis and in response to treatment, using validated questionnaires
Time frame: 5 years
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