Paradoxical Tumor Embolism and Recurrent Intracardiac Mass From Uterine Intravenous Leiomyomatosis

Clinical features and prognostic factors analysis of intravenous leiomyomatosis

Background

The treatment and prognostic factors of intravenous leiomyomatosis (IVL) remain lacking systematic evidence.

Methods

A retrospective study was conducted on IVL patients from the Qilu Hospital of Shandong University, and IVL cases were published in PubMed, MEDLINE, Embase and Cochrane Library databases. Descriptive statistics were used for the basic characteristics of patients. The Cox proportional hazards regression analysis was used to assess the high-risk factors related to the progression-free survival (PFS). The comparison of survival curves was performed by Kaplan-Meier analysis.

Results

A total of 361 IVL patients were included in this study, 38 patients from Qilu Hospital of Shandong University, and 323 patients from the published literature. Age ≤45 years was observed in 173 (47.9%) patients. According to the clinical staging criteria, stage I/II was observed in 125 (34.6%) patients, and stage III/IV was observed in 221 (61.2%) patients. Dyspnea, orthopnea, and cough were observed in 108 (29.9%) patients. Completed tumor resection was observed in 216 (59.8%) patients, and uncompleted tumor resection was observed in 58 (16.1%) patients. Median follow-up period was 12 months (range 0-194 months), and 68 (18.8%) recurrences or deaths were identified. The adjusted multivariable Cox proportional hazard analysis showed age ≤45 years (vs. >45) (hazard ratio [HR] = 2.09, 95% confidence interval [CI] 1.15-3.80, p = 0.016), and uncompleted tumor resection (vs. completed tumor resection) (HR = 22.03, 95% CI 8.31-58.36, p < 0.001) were high-risk factors related to the PFS.

Conclusion

Patients with IVL have a high probability of recurrence after surgery and a poor prognosis. Patients younger than 45 years and with uncompleted tumor resection are at higher risk of postoperative recurrence or death.

Identification of Novel Serum Metabolic Biomarkers as Indicators in the Progression of Intravenous Leiomyomatosis: A High Performance Liquid Chromatography-Tandem Mass Spectrometry-Based Study

Background

Intravenous leiomyomatosis (IVL) is a rare estrogen-dependent neoplasm. However, identifiable and reliable biomarkers are still not available for clinical application, especially for the diagnosis and prognosis of the disease.

Methods

In the present study, 30 patients with IVL and 30 healthy controls were recruited. Serum samples were isolated from these participants for further high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) analysis to study metabolomics alterations and identify differentially expressed metabolites based on orthogonal partial least-squares discriminant analysis (OPLS-DA). Subsequently, lasso regression analysis and a generalized linear regression model were applied to screen out hub metabolites associated with the progression of IVL.

Results

First, 16 metabolites in the positive ion mode were determined from the 240 identifiable metabolites at the superclass level, with ten metabolites upregulated in the IVL group and the remaining six metabolites downregulated. Our data further proved that four metabolites [hypoxanthine, acetylcarnitine, glycerophosphocholine, and hydrocortisone (cortisol)] were closely related to the oncogenesis of IVL. Hypoxanthine and glycerophosphocholine might function as protective factors in the development of IVL (OR = 0.19 or 0.02, respectively). Nevertheless, acetylcarnitine and hydrocortisone (cortisol), especially the former, might serve as risk indicators for the disease to promote the development or recurrence of IVL (OR = 18.16 or 2.10, respectively). The predictive accuracy of these hub metabolites was further validated by the multi-class receiver operator characteristic curve analysis (ROC) with the Scikit-learn algorithms.

Conclusion

Four hub metabolites were finally determined via comprehensive bioinformatics analysis, and these substances could potentially serve as novel biomarkers in predicting the prognosis or progression of IVL.