Intravascular leiomyomatosis with extension into the pulmonary artery

Identification of novel serum protein biomarkers in the context of 3P medicine for intravenous leiomyomatosis: a data-independent acquisition mass spectrometry-based proteomics study

Background

Intravenous leiomyomatosis (IVL) is a rare endocrine-associated tumor with unique characteristics of intravascular invasion. This study aimed to identify reliable biomarkers to supervise the development or recurrence of IVL in the context of predictive, preventive, and personalized medicine (PPPM/3PM).

Methods

A total of 60 cases were recruited to detect differentially expressed proteins (DEPs) in serum samples from IVL patients. These cases included those with recurrent IVL, non-recurrent IVL, uterine myoma, and healthy individuals without uterine myoma, with 15 cases in each category. Then, weighted gene co-expression network analysis (WGCNA), lasso-penalized Cox regression analysis (Lasso), trend clustering, and a generalized linear regression model (GLM) were utilized to screen the hub proteins involved in IVL progression.

Results

First, 93 differentially expressed proteins (DEPs) were determined from 2582 recognizable proteins, with 54 proteins augmented in the IVL group, and the remaining proteins declined. These proteins were enriched in the modulation of the immune environment, mainly by activating the function of B cells. After the integrated analyses mentioned above, a model based on four proteins (A0A5C2FUE5, A0A5C2GPQ1, A0A5C2GNC7, and A0A5C2GBR3) was developed to efficiently determine the potential of IVL lesions to progress. Among these featured proteins, our results demonstrated that the risk factor A0A5C2FUE5 was associated with IVL progression (OR = 2.64). Conversely, A0A5C2GPQ1, A0A5C2GNC7, and A0A5C2GBR3 might act in a protective manner and prevent disease development (OR = 0.32, 0.60, 0.53, respectively), which was further supported by the multi-class receiver operator characteristic curve analysis.

Conclusion

Four hub proteins were eventually identified based on the integrated bioinformatics analyses. This study potentiates the promising application of these novel biomarkers to predict the prognosis or progression of IVL by a 3PM approach.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13167-023-00338-0.

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.