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Prolactinomas are the most common pituitary adenomas, representing about two-thirds of clinically relevant cases. Their prevalence is around 50 per 100,000 individuals, with an incidence of 3-5 new cases per 100,000 per year and has been rising in recent decades.
They may increase morbidity and mortality due to several factors:
A marked sex difference exists, with a male-to-female ratio of 1:5-1:10, and peak diagnosis in women aged 25-44. This disparity disappears after menopause, supporting a potential role of estrogens in tumor development. Lactotrope cells, from which prolactinomas arise, are estrogen-sensitive, unlike other pituitary tumor cells (e.g., somatotrophs, gonadotrophs).
A large 2022 prospective cohort (nurses) suggested a possible association between pituitary adenomas and both combined oral contraceptives (COCs) and hormone therapy (HT). However, limitations included self-reported diagnoses, lack of adenoma characterization, and contradictory findings (association with HT but not consistently with COCs). A 2009 case-control study including all adenomas found no link with hormonal contraception, while older studies from the 1980s assessed high-dose contraceptives no longer in use.
Microprolactinomas are 4-5 times more frequent than macroprolactinomas (≥10 mm). Distinguishing between the two is essential, as they differ in clinical presentation, prognosis, and sex distribution. Macroadenomas are more common in men, possibly due to delayed diagnosis, as symptoms such as decreased libido are less specific, whereas women often present with amenorrhea or galactorrhea. However, studies suggest tumor size is not directly linked to symptom duration, indicating other factors may explain macroadenoma development.
Why some patients develop macro- rather than microadenomas remains unclear. Estrogen exposure is a possible explanation. It is therefore relevant to investigate whether women with macroprolactinomas had greater exposure to endogenous estrogens (early menarche, late menopause, pregnancies, breastfeeding) or exogenous estrogens (contraception, menopausal HT) compared to women with microprolactinomas.
The hypothesis is that women with macroprolactinomas were exposed to higher cumulative levels of estrogens before diagnosis than women with microprolactinomas.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Women with a macroprolactinoma | Women with prolactin-producing macroadenomas diagnosed between 2013 and 2023 Followed by the Hospices Civiles de Lyon, Hôpital Cardiologique of Bron. |
| |
| Women with a microprolactinoma | Women with prolactin-producing microadenomas diagnosed between 2013 and 2023 Followed by the Hospices Civiles de Lyon, Hôpital Cardiologique of Bron. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Standardized questionnaire | Other | The intervention is a questionnaire which will be administered only if informations available on medical files are not sufficient. 1 mounth before questionning our cases and controls, they will receive a participant information note. It will be administered primarily by telephone. If the patient prefers not to answer by telephone, a paper version will be mailed to her. In this case, she will have up to two months to return the completed questionnaire by post. The questionnaire will collect detailed information on potential exposures to estrogens and reproductive history. |
| Measure | Description | Time Frame |
|---|---|---|
| number of patients exposed to combined estrogen-progestin contraception | Identify the estrogen-dependent risk factor | week 4 |
| number of patients exposed to menopausal hormone therapy | Identify the estrogen-dependent risk factor | week 4 |
| number of patients exposed to progestin-only treatment | Identify the estrogen-dependent risk factor | week 4 |
| number of patients exposed to Ovarian Stimulation | Identify the estrogen-dependent risk factor | week 4 |
| Age at First Use of Hormonal Contraception | Identify the estrogen-dependent risk factor | week 4 |
| Age at Menarche | Identify the estrogen-dependent risk factor | week 4 |
| Age at Menopause | Identify the estrogen-dependent risk factor | week 4 |
| Age at First Live Birth | Identify the estrogen-dependent risk factor | week 4 |
| Nulliparity |
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Inclusion Criteria of cases :
Inclusion Criteria of controls :
Exclusion Criteria of cases :
Exclusion Criteria of controls :
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Patients included in this study will be identified from the COLLEMARA database, used within the Hospices Civils de Lyon. This database, specifically dedicated to rare diseases, provides a structured registry of patients followed for rare pituitary disorders, such as prolactinomas.
For the purpose of this study, the COLLEMARA database will be used solely to identify eligible patients, based on the coded diagnosis of "prolactinoma." The study population will consist of female patients whose diagnosis was made between 2013 and 2023 and who meet the other inclusion criteria.
A total of 180 patients will be included: 60 in the case group ("macroprolactinomas") and 120 in the control group ("microprolactinomas").
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gerald RAVEROT, Pr | Contact | 04 27 85 66 66 | +33 | gerald.raverot@chu-lyon.fr |
| Mathilde BLARY | Contact | mathilde.blary@chu-lyon.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hopital Louis Pradel | Recruiting | Bron | Rhone | 69500 | France |
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| ID | Term |
|---|---|
| D015175 | Prolactinoma |
| D010911 | Pituitary Neoplasms |
| ID | Term |
|---|---|
| D000236 | Adenoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
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|
Identify the estrogen-dependent risk factor |
| week 4 |
| Number of Pregnancies Carried to Viability | Identify the estrogen-dependent risk factor | week 4 |
| Exposure to Breastfeeding defined as the total cumulative duration of breastfeeding across all pregnancies, expressed in months. • None: 0-1 month • Moderate: 1-12 months • High: >12 months | Identify the estrogen-dependent risk factor | week 4 |
| D004701 |
| Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D010900 | Pituitary Diseases |
| D007027 | Hypothalamic Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D004700 | Endocrine System Diseases |
| D007029 | Hypothalamic Neoplasms |
| D015173 | Supratentorial Neoplasms |
| D001932 | Brain Neoplasms |
| D016543 | Central Nervous System Neoplasms |
| D009423 | Nervous System Neoplasms |