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Desmoid tumors (DT) are rare disease of intermediate malignancy with variable and often unpredictable clinical course. There is a growing interest in defining potential risk of recurrence or progression during or after pregnancy and in identifying potential obstetrical risks and infertility rate of desmoid patients.
Aim of the study:
Full description
Background. Desmoid tumors (DT) are rare disease of intermediate malignancy with variable and often unpredictable clinical course.
A significant proportion of female patients with a diagnosis of DT have a recent pregnancy history and on the contrary, the diagnosis of DT is often made during gestation or shortly thereafter. Understanding the behavior of desmoids during or after pregnancy is crucial to define the safest management of the tumor itself and of the pregnancy.
Moreover, analyzing the impact of DT on decisions regarding the pregnancy (and in turn fertility), we will be able to implement new tools assisting and counselling women with DT.
Aim of the study.
Study design. International multicentric retrospective observational study. Histology. Only patients with histology-proven desmoids will be included. DT will be defined according to the WHO classification. Patients with FAP-related DT will be included and analyzed separately, while those affected by infantile fibromatosis or palmar/plantar fibromatosis will be excluded.
Data collection.
The following questions will be included in a questionnaire in order to define the possible effects of DT on pregnancy:
Statistical analysis. Discrete variables will be described as medians with interquartile range (IQR). Categorical variables will be described as totals and frequencies. Univariate comparisons will be assessed using the chi-squared or Wilcoxon-rank sum test as appropriate. Univariate and multivariate logistic regression models will be assessed to determine the association of relevant baseline clinicopathological factors with pregnancy. Variables with univariate significance (p<0.20) will be entered into the multivariate model in combination with important clinical variables and confounders. "Disease progression during pregnancy" will include both PD according to RECIST within 1 year after delivery in patients with previous SD, and local recurrence detected during pregnancy or within 1 year after delivery. "Time to progression during pregnancy" will be calculated from estimated date of beginning of pregnancy (based on date of delivery or abortion) and first evidence of PD/LR. "Spontaneous regression after PD during pregnancy" will be defined as RECIST MR or PR in the absence of any active treatment after delivery regardless of previous "Disease progression during pregnancy". For the purpose of the following outcomes "Disease progression during pregnancy","Time to progression during pregnancy", "Spontaneous regression after PD during pregnancy" estimates will be calculated based on the overall number of recorded pregnancies, meaning that for a single patients it will be calculated for each pregnancy following the diagnosis of DF. Survival adjusted for censoring will be calculated using the Kaplan-Meier method and medians compared using the log-rank test.
All analyses will be carried out with STATA version 13.0 (StataCorp, College Station, TX), and a P-value of <0.05 (two-tailed) will be considered statistically significant.
Expected Results. Although DT tend to grow during pregnancy, patients followed in specialized sarcoma centers are safely managed. DT should not be considered a contraindication to pregnancy, however patients need to be enrolled in a close follow-up program. The impact of DT (and of the related management) on pregnant women and new mothers can translate in anxiety for a new pregnancy, desire to avoid pregnancy, and other symptoms which will be recorded as PRO.
Data Quality Control. Data quality will be guarantee by local Principal Investigators. In particular a specific kickoff meeting will be organized providing instruction for all Investigators. Data entry will be centralized by means of an online CRF, who will be accessible to Investigators after a data transfer and use agreement (DTUA) between the Promoter and the participating centers.
As far as data of patients enrolled by Desmoid Foundation Italia, data quality check will be guarantee by supervision of the study PI.
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400 participants in 2 patient groups
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Central trial contact
Marco Fiore, MD
Data sourced from clinicaltrials.gov
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