Carcinosarcomas of the Uterus: Prognostic Factors and Impact of Adjuvant Treatment

Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients

OBJECTIVES

Endometrial carcinosarcoma is a rare, aggressive high-grade endometrial cancer, accounting for about 5% of all uterine cancers and 15% of deaths from uterine cancers. The treatment can be complex, and the prognosis is poor. Its increasing incidence underscores the urgent requirement for personalized approaches in managing such challenging diseases.

METHOD

In this work, we designed an explainable machine learning approach to predict recurrence-free survival in patients affected by endometrial carcinosarcoma. For this purpose, we exploited the predictive power of clinical and histopathological data, as well as chemotherapy and surgical information collected for a cohort of 80 patients monitored over time. Among these patients, 32.5% have experienced the appearance of a recurrence.

RESULTS

The designed model was able to well describe the observed sequence of events, providing a reliable ranking of the survival times based on the individual risk scores, and achieving a C-index equals to 70.00% (95% CI, 59.38-84.74).

CONCLUSION

Accordingly, machine learning methods could support clinicians in discriminating between endometrial carcinosarcoma patients at low-risk or high-risk of recurrence, in a non-invasive and inexpensive way. To the best of our knowledge, this is the first study proposing a preliminary approach addressing this task.

Malignant mixed mullerian tumors: a SEER database review of rurality and treatment modalities on disease outcome

Introduction

Malignant Mixed Mullerian Tumors (MMMT) are rare and poorly understood sarcomas with limited research on risk factors, pathogenesis, and optimal treatments. This study aimed to address this knowledge gap and explore the impact of community size, patient characteristics, disease characteristics, and treatment modalities on MMMT outcomes.

Methods

Using the Surveillance, Epidemiology, and End Results database (SEER), the largest SEER cohort to date of 3,352 MMMT patients was analyzed for demographic factors, treatment modalities, and histologic characteristics. Data was processed, including the removal of incomplete entries, and analyzed in Python 3.1 using packages scikit-learn, lifelines, and torch; log-rank analysis and Cox proportional hazards models were used to evaluate a number of demographic characteristics and disease characteristics for significance in regard to survival.

Results

Our study found adjuvant radiotherapy and chemotherapy significantly improved survival, with modest benefits from neoadjuvant chemotherapy. Our findings also suggest age at diagnosis, disease grade, and suburban versus rural geographic locations may play key roles in patient prognosis. On multivariable analysis both disease Grade and surgical treatment were significant factors.

Discussion

MMMTs remain challenging, but appropriate treatment appears to enhance survival. The present findings suggest opportunities for improved outcomes and treatment strategies for patients with MMMTs.

Influence of Clinical and Surgical Factors on Uterine Carcinosarcoma Survival

BACKGROUND

The aim of this study was to assess the impact of prognostic factors on the survival of patients diagnosed with uterine carcinosarcoma.

METHODS

A sub-analysis of the SARCUT study, a multicentric retrospective European study, was carried out. We selected 283 cases of diagnosed uterine carcinosarcoma for the present study. Prognosis factors influencing survival were analyzed.

RESULTS

Significant prognostic factors for overall survival were: incomplete cytoreduction (HR = 4.02; 95%CI = 2.68-6.18), FIGO stages III and IV (HR = 3.21; 95%CI = 1.83-5.61), tumor persistence after any treatment (HR = 2.90; 95%CI = 1.97-4.27), presence of extrauterine disease (HR = 2.62; 95%CI = 1.75-3.92), a positive resection margin (HR = 1.56; 95%CI = 1.05-2.34), age (HR = 1.02; 95%CI = 1.00-1.05), and tumor size (HR = 1.01; 95%CI = 1.00-1.01). Significant prognostic factors for disease-free survival were: incomplete cytoreduction (HR = 3.00; 95%CI = 1.67-5.37), tumor persistence after any treatment (HR = 2.64; 95%CI = 1.81-3.86), FIGO stages III and IV (HR = 2.33; 95%CI = 1.59-3.41), presence of extrauterine disease (HR = 2.13; 95%CI = 1.44-3.17), administration of adjuvant chemotherapy (HR = 1.84; 95%CI = 1.27-2.67), a positive resection margin (HR = 1.65; 95%CI = 1.11-2.44), presence of LVSI (HR = 1.61; 95%CI = 1.02-2.55), and tumor size (HR = 1.00; 95%CI = 1.00-1.01).

CONCLUSIONS

Incomplete cytoreduction, presence of tumor residual after treatment, advanced FIGO stage, extrauterine disease, and tumor size are significant prognostic factors decreasing disease-free survival and overall survival of patients with uterine carcinosarcoma.

Endometrial carcinosarcoma

Endometrial carcinosarcoma is a rare and aggressive high-grade endometrial carcinoma with secondary sarcomatous trans-differentiation (conversion theory). The clinical presentation and diagnostic work-up roughly align with those of the more common endometrioid counterpart, although endometrial carcinosarcoma is more frequently diagnosed at an advanced stage. Endometrial carcinosarcoma is not a single entity but encompasses different histological subtypes, depending on the type of carcinomatous and sarcomatous elements. The majority of endometrial carcinosarcomas are characterized by p53 abnormalities. The proportion of POLE and microsatellite instablity-high (MSI-H) is directly related to the epithelial component, being approximately 25% and 3% in endometrioid and non-endometrioid components.The management of non-metastatic disease is based on a multimodal approach with optimal surgery followed by (concomitant or sequential) chemotherapy and radiotherapy, even for early stages. Palliative chemotherapy is recommended in the metastatic or recurrent setting, with carboplatin/paclitaxel doublet being the first-line regimen. Although the introduction of immunotherapy plus/minus a tyrosine kinase inhibitor shifted the paradigm of treatment of patients with recurrent endometrial cancer, patients with endometrial carcinosarcoma were excluded from most studies evaluating single-agent immunotherapy or the combination. However, the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) approved the use of pembrolizumab and lenvatinib in endometrial cancer (all histotypes) after progression on chemotherapy and single-agent immunotherapy in MSI-H cancers. In the era of precision medicine, emerging knowledge on molecular endometrial carcinosarcoma is opening new promising therapeutic options for more personalized treatment. The present review outlines state-of-the-art knowledge and future directions for patients with endometrial carcinosarcoma.

Exploring biomarkers and prognostic factors in uterine carcinosarcoma: An insight into L1CAM, CDX2, p53, and MSI status

BACKGROUND

Uterine Carcinosarcomas (UCS) are a rare type of cancer composed of an admixture of high-grade carcinomatous and sarcomatous elements. Clinicopathological prognostic factors in UCS are well established, but studies that approach the impact of biomarkers in this unusual disease are scarce. The study objective was to evaluate the prevalence and prognostic impact of a panel of prominent biomarkers in uterine carcinosarcoma (UCS) using an immunohistochemical characterization with four biomarkers.

METHODS AND FINDINGS

The internal database of a single Brazilian institution was carefully explored to select women diagnosed with UCS who were submitted to surgery and postoperative chemotherapy with carboplatin and paclitaxel between January 2012 and December 2017. Tissue microarrays containing UCS samples were evaluated by immunohistochemistry for L1CAM, CDX2, p53 and microsatellite instability markers. A total of 57 cases were included. The mean age was 65.3 years (standard deviation, SD 7.0). L1CAM was negative (score 0, no staining) in 27 (47.4%) patients. Of L1CAM-positive, 10 (17.5%) showed weak (score 1, <10%), 6 (10.5%) showed moderate (score 2, between 10-50%), and 14 (24.6%) showed strong L1CAM staining (score 3, ≧50%). dMMR occurred in 3 (5.3%) cases. The p53 was aberrantly expressed in 15 (26.3%) tumors. CDX2 was positive in 3 (5.3%) patients. The three-year progression-free survival (PFS) rate in the general population of the study was 21.2% (95% CI: 11.7-38.1) and the three-year overall survival (OS) rate was 29.4% (95% CI: 18.1-47.6). By multivariate analysis, the presence of metastases and CDX2-positive were significantly associated with poorer PFS (p < 0.001 and p = 0.002, respectively) and OS (p < 0.001 and p = 0.009, respectively).

CONCLUSION

The strong influence of CDX2 on prognosis requires further investigation. Biological or molecular variability may have impaired the assessment of the impact of the other markers on survival.

The role of multimodal adjuvant therapy for FIGO I-II carcinosarcoma of the uterus: a systematic review

The uterine carcinosarcoma (UCS) is a rare entity with poor prognosis. Treatment of FIGO I-II UCS usually consists of surgery with or without adjuvant treatment. Due to the high metastatic potential, aggressive combined modality adjuvant treatment approaches, consisting of chemo- and radiotherapy, have been of interest. Our systematic review aims to compare survival, disease control and toxicity profiles in patients receiving adjuvant chemoradiation to other adjuvant strategies (e.g.observation, chemotherapy or radiotherapy). A total of ten studies were included for a combined cohort size of 6,520 patients. Generally, the studies showed a trend towards improved disease control and survival in patients undergoing adjuvant multimodal treatment, although statistical significance was often not reached. Selection bias and non-randomized treatment allocation pose serious challenges to extrapolate these outcomes to clinical practice. We recommend additional prospective research on the role of adjuvant chemoradiation in FIGO I-II UCS.