Neoplasms

All Conditions

Respiratory Tract (Lung and Bronchial) Diseases

Digestive System Diseases

Skin and Connective Tissue Diseases

Rare Diseases

Carcinoma

Mesothelioma

Mesothelioma, Malignant

Cystadenocarcinoma, Serous

Desmoplastic Small Round Cell Tumor

Pseudomyxoma Peritonei

Leiomyomatosis

Cystadenocarcinoma

Neoplasms, Cystic, Mucinous, and Serous

Peritoneal Neoplasms

Neoplasms, Glandular and Epithelial

Neoplasms by Histologic Type

Adenoma

Neoplasms, Mesothelial

Lung Neoplasms

Respiratory Tract Neoplasms

Thoracic Neoplasms

Pleural Neoplasms

Lung Diseases

Respiratory Tract Diseases

Adenocarcinoma

Sarcoma

Neoplasms, Connective and Soft Tissue

Adenocarcinoma, Mucinous

Abdominal Neoplasms

Gastrointestinal Neoplasms

Digestive System Neoplasms

Gastrointestinal Diseases

Peritoneal Diseases

Leiomyoma

Myofibroma

Malignant Mesothelioma

Disseminated Peritoneal Leiomyomatosis

Adenocarcinoma of the Appendix

Soft Tissue Sarcoma

Data from pseudomyxoma peritonei cases will be used to generate descriptive statistics on demographics, clinical characteristics including prevalence and incidence of co-morbidities, treatment patterns, and patient outcomes (resulting from treatment or disease).

Data from peritoneal mesothelioma cases will be used to generate descriptive statistics on demographics, clinical characteristics including prevalence and incidence of co-morbidities, treatment patterns, and patient outcomes (resulting from treatment or disease).

Data from desmoplastic small round cell tumor cases will be used to generate descriptive statistics on demographics, clinical characteristics including prevalence and incidence of co-morbidities, treatment patterns, and patient outcomes (resulting from treatment or disease).

Data from primary peritoneal serous carcinoma cases will be used to generate descriptive statistics on demographics, clinical characteristics including prevalence and incidence of co-morbidities, treatment patterns, and patient outcomes (resulting from treatment or disease).

Data from diffuse peritoneal leiomyomatosis cases will be used to generate descriptive statistics on demographics, clinical characteristics including prevalence and incidence of co-morbidities, treatment patterns, and patient outcomes (resulting from treatment or disease).

Data from appendiceal mucinous neoplasms cases will be used to generate descriptive statistics on demographics, clinical characteristics including prevalence and incidence of co-morbidities, treatment patterns, and patient outcomes (resulting from treatment or disease).

Non interventional

François-Noël GILLY, Prof

Despite advances in the management of and changes in clinical practice, little is known about the epidemiology, patterns of care and outcomes of rare peritoneal surface malignancies patients in France.

In order to better understand the characteristics of rare peritoneal surface malignancies and to evaluate treatment strategies, the RENAPE registry aims at the collection of data from patients presenting with a rare peritoneal surface malignancy in France. Data will be entered prospectively in a specifically designed and secured web database.

All RENAPE's centres and physicians are invited to register patients with a rare peritoneal surface malignancy diagnosis and to participate to the registry. Data will be evaluated within regular time frames, focusing on types of rare peritoneal surface malignancies, treatment modalities and patient outcomes (e.g. survival, recurrence), thereby contributing to the better understanding of these rare cancers.

French National Registry of Rare Peritoneal Surface Malignancies

French National Registry of Rare Peritoneal Surface Malignancies (RENAPE Registry)

Collect detailed clinical and histological diagnosis for estimating annual incidence rate

Collect detailed therapeutic strategies (surgical procedure, chemotherapy, etc.) on patients with rare peritoneal surface malignancies

Hospices Civils de Lyon

Spots Global Cancer Trial Database for rare peritoneal surface malignancies