Neoplasms

Skin and Connective Tissue Diseases

All Conditions

Breast Neoplasms

Breast Diseases

Skin Diseases

patients operated for histologically proven breast cancer

Surgery of breast cancer

The collection centralizes the main characteristics of the patients, the tumor and the treatments. Also included are the date of first recurrence, the localization (local, regional or distant) as well as the death or the date of the latest news.

Clinical data collection

Gilles HOUVENAEGHEL

Dominique GENRE, MD

For several years, the Paoli-Calmettes Institute has been centralizing the retrospective collection of clinical data of patients operated on for histologically proven breast cancer.

The current cohort (G3S) fed by more than 20 centers has more than 25,000 patient records. The collection centralizes the main characteristics of the patients, the tumor and the treatments. Also included are the date of first recurrence, the localization (local, regional or distant) as well as the death or the date of the latest news. The current database is also updated regularly.

Database of Data Collection

Database of Data Collection in Senological Surgery

Institut Paoli-Calmettes

Symptoms and General Pathology

Rare Diseases

Disease Attributes

Prospective epidemiological and clinical data collection of subjects with diagnosis of a rare solid tumor.

The data collection includes, among other things: Diagnosis of the rare tumor (pathological findings/ reference pathological findings), full name, birth date, gender, clinical registry inclusion and exclusion criteria met - yes / no, signed declaration of consent-yes / no, if yes: date of signature

Data collection

Ines Brecht, PD Dr. med.

Michael Abele, Dr. med.

Dominik Schneider, Prof. Dr. med.

The aim of the STEP registry is to collect and evaluate experience and data on the diagnosis and treatment of rare childhood tumors in order to use the knowledge gained to improve the treatment prospects for our patients. The rarity of a disease should not be a disadvantage for the young patients.

The objective of the STEP registry is to optimise the diagnosis and treatment of patients with rare tumour diseases in childhood and adolescence. Therefore, a continuous prospective collection of clinical data on rare paediatric tumours is conducted to improve the understanding of these tumours. Beyond analysis of clinical data, further scientific research on the biological and molecular genetic characteristics of these tumours is performed. These data and a close collaboration with international partners, especially the European EXPeRT group, enable the improvement of treatment recommendations for these tumours along with establishment a global interdisciplinary network of rare tumour specialists.

Rare Tumours in Children and Adolescents (STEP)

Rare Tumours in Children and Adolescents (STEP 2.0) - Register for the Documentation of Rare Tumours in Children and Adolescents

The STEP Register will provide data in a pseudonymised manner to national and international databases set up to optimize the diagnosis and treatment of rare tumors in children and adolescents

Period between study entry and failure of induction therapy, recurrence or death from any cause is measured.

University Hospital Tuebingen

Urinary Tract, Sexual Organs, and Pregnancy Conditions

Gland and Hormone Related Diseases

Nutritional and Metabolic Diseases

Syndrome

Polycystic Ovary Syndrome

Insulin Resistance

Cysts

Ovarian Cysts

Ovarian Diseases

Adnexal Diseases

Genital Diseases, Female

Genital Diseases

Urogenital Diseases

Female Urogenital Diseases

Pregnancy Complications

Female Urogenital Diseases and Pregnancy Complications

Gonadal Disorders

Endocrine System Diseases

All Drugs and Chemicals

Hypoglycemic Agents

Androgens

Insulin

Insulin, Globin Zinc

Hormones

Serotonin

Participants were eligible if they met the Rotterdam diagnostic criteria of polycystic ovary syndrome (PCOS) and meet the inclusion and exclusion criteria , and all study participants received questionnaires and underwent the physical, transvaginal ultrasound and body composition examination. Blood samples were collected for analysis of metabolic markers, metabonomics and hormones.

The control group participants are normal women and had no history of any type of diabetes, cardiovascular disease (myocardial infarction, unstable angina, stroke or cardiovascular revascularization), stage 2 hypertension , malignant disease or severe renal or hepatic disease. They accepted the same examinations as the observation group.

Basic characteristics: Participants were carefully characterized with regard to a general health history, a medical history, clinical, demographic and anthropomorphic measurements, skin problems (hirsutism is modified by Ferriman-Gallwey (mF-G) score , global acne score and premature alopecia).

A transvaginal ultrasound scan was performed on every participant during a clinical examination to determine the number of follicles and ovarian volume.

Metabolic and other assessments: General gynecological examination, prolactin, thyroid, androgen, LH, FSH, DA, 5-HT, metabonomics, glucose, insulin, triglyceride (TG), LDL and HDL were determined, OGTT was performed.

Questionnaires: The perceived stress scale(Chinese 14-item PSS), self-rating anxiety scale (SAS）, self-rating depressive scale(SDS) were used to assess the participants' mental health status. The MOS item short from health survey (SF-36) was used to assess the quality of life .

Haolin Zhang

To investigate the body fat distribution in chinese women with polycystic ovary syndrome (PCOS) and the association of those distribution with metabolic parameters, microeconomics, hormone profiles and psychological state.

The polycystic ovary syndrome (PCOS) is one of the most common endocrine and metabolic disorders in women of reproductive age. It is also one of the leading causes of anovulatory infertility and secondary amenorrhea, which represent major stress factors in the female life. In the previous studies, the investigators found that PCOS patients showed decreased quality-of-life and increased psychological disturbances compared with healthy controls. Body mass index (BMI) was associated with emotional disorders and physical aspects of quality-of-life and negative emotions were negatively correlated with BMI in PCOS patients.These results prompted that PCOS could be separated into at least two subtypes by the fat content. So the investigators expand the epidemiological investigation for comparing the body composition between the PCOS and the normal women, and finding specific biological indicators in different subtypes.

Body Fat Distribution and Its Associated Factors in Chinese Women With Polycystic Ovary Syndrome

Department of Traditional Chinese Medicine (TCM), Center for Reproductive Medicine, Department of Obstetrics and Gynaecology, Peking University Third Hospital, Beijing 100191, China.

We haven't decided whether to share the data

Examined with a body composition analyzer (Tanita Corporation, model MC-180, Japan)

Weight in kilograms divided by the square of height in meters, reported in kg/m2

Waist circumference（WC）reported in cm, refers to the horizontal circumference along the midpoint of the connection line of the anterior superior iliac crest through the lower costal margin of the calm breathing state when standing. Recumbent position is the abdominal circumference through the girth of the navel.

Hip circumference reported in cm, and when measured, the legs are upright and closed together, the arms are naturally pendulous, and the tape measure is placed horizontally on the pubic symphysis in front and the gluteus maximus in the back.

calculation of HOMA-IR: \[fasting insulin (μU/mL) × fasting glucose (mmol/L)\] / 22.5)

calculation of HOMA-β: 20 × fasting insulin (mU/mL) / (fasting plasma glucose (mmol/L) - 3.5) (%)

examined with the blood sample examined with the blood sample

examined with the blood sample (fasting plasma glucose (mmol/L) - 3.5) (%)

To determine changes in women's hairy with FG rating scale (0-36 score), the higher, the worse

determine the health quality of life by the questionnaire of SF36 (0-100 score), the higher, the better

determine the anxiety level with the questionnaire of SAS (20-100 score), the higher, the worse.

determine the depress level with the questionnaire of SDS (20-100 score), the higher, the worse

determine the stress level with the questionnaire of SDS (14-56 score), the higher, the worse

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Database of Data Collection	NCT03461172	Surgery of Brea...	Surgery of brea... Clinical data c...	18 Years -	Institut Paoli-Calmettes
Rare Tumours in Children and Adolescents (STEP)	NCT05773651	Rare Diseases	Data collection	1 Day - 18 Years	University Hospital Tuebingen
Body Fat Distribution and Its Associated Factors in Chinese Women With Polycystic Ovary Syndrome	NCT04264832	Polycystic Ovar...	Clinical data c...	18 Years - 45 Years	Peking University Third Hospital

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