Publications by authors named "MP Snijders"

Objective: The prognostic relevance of hormonal biomarkers in endometrial cancer (EC) has been well-established. A refined three-tiered risk model for estrogen receptor (ER)/progesterone receptor (PR) expression was shown to improve prognostication. This has not been evaluated in relation to the molecular subgroups.

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Article Synopsis
  • In a study about endometrial cancer, doctors looked at how preoperative health issues like anemia (low red blood cells), thrombocytosis (high platelets), and leucocytosis (high white blood cells) affect patient survival and treatment response.
  • They checked medical data from 894 patients from 10 hospitals over about 4.5 years and found that anemia and thrombocytosis linked to higher risk levels for the disease.
  • The results showed that anemia made survival rates worse, especially for patients getting radiation therapy, meaning those with anemia had a harder time fighting the cancer.
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  • Patients with high-grade endometrial carcinoma (EC) have a higher likelihood of tumor spread and lymph node metastasis (LNM), with preoperative imaging and CA125 levels aiding in their assessment.
  • A study involving 333 high-grade EC patients found that elevated CA125 levels significantly correlated with advanced disease stages and poorer survival outcomes.
  • Logistic regression analysis indicated that elevated CA125, non-endometrioid histology, deep myometrial invasion, and cervical involvement are strong predictors of LNM, while CT findings alone were less predictive.
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Background: Uterine clear cell carcinoma (CCC) consists of either pure clear cell histology but can also display other histological components (mixed uterine CCCs). In this study, the molecular and immunohistochemical background of pure and mixed uterine CCC was compared. Secondly, it was evaluated whether histological classification and molecular background affected clinical outcome.

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Importance: Patients with low-grade (ie, grade 1-2) endometrial cancer (EC) are characterized by their favorable prognosis compared with patients with high-grade (ie, grade 3) EC. With the implementation of molecular profiling, the prognostic relevance of tumor grading might lose attention. As most patients present with low-grade EC and have an excellent outcome, the value of molecular profiling for these patients is unclear.

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Objective: Ovarian cancer is known for its poor prognosis, which is mainly due to the lack of early symptoms and adequate screening options. In this study we evaluated whether mutational analysis in cervicovaginal and endometrial samples could assist in the detection of ovarian cancer.

Methods: In this prospective multicenter study, we included patients surgically treated for either (suspicion of) ovarian cancer or for a benign gynecological condition (control group).

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Objective: To evaluate whether the amount of preoperative endometrial tissue surface is related to the degree of concordance with final low- and high-grade endometrial cancer (EC). In addition, to determine whether discordance is influenced by sampling method and impacts outcome.

Methods: A retrospective cohort study within the European Network for Individualized Treatment of Endometrial Cancer (ENITEC).

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Study Question: What are clinical predictors for successful medical treatment in case of early pregnancy loss (EPL)?

Summary Answer: Use of mifepristone, BMI, number of previous uterine aspirations and the presence of minor clinical symptoms (slight vaginal bleeding or some abdominal cramps) at treatment start are predictors for successful medical treatment in case of EPL.

What Is Known Already: Success rates of medical treatment for EPL vary strongly, between but also within different treatment regimens. Up until now, although some predictors have been identified, no clinical prediction model has been developed yet.

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Background: In case of early pregnancy loss (EPL) women can either choose for expectant, medical or surgical management. One week of expectant management is known to lead to spontaneous abortion in approximately 50% of women. Medical treatment with misoprostol is known to be safe and less costly than surgical management, however less effective in reaching complete evacuation of the uterus.

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Preoperative histopathological classification determines the primary surgical approach in endometrial carcinoma (EC) patients but has only moderate agreement between preoperative and postoperative diagnosis. The aim of the PIpelle Prospective ENDOmetrial carcinoma (PIPENDO) study is to determine whether histopathological assessment and a small panel of diagnostic biomarkers decreases discrepancies between preoperative and postoperative diagnosis in EC. Preoperative endometrial tissue of 378 included patients with EC was stained with 15 different antibodies.

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Introduction: Numerous studies have been performed assessing optimal treatment regimens for evacuating (retained) products of conception from the uterus, but standardized criteria for diagnosing retained products of conception (RPOC) are still lacking. We aim to provide an overview of diagnostic criteria in current literature, used to diagnose RPOC after induced first-trimester abortion or early pregnancy loss.

Material And Methods: Pubmed, EMBASE, and the Cochrane library were searched systematically up until March 2020 for English articles reporting on induced abortion or early pregnancy loss.

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Background: Approximately 20% of women with endometrial cancer have advanced-stage disease or suffer from a recurrence. For these women, prognosis is poor, and palliative treatment options include hormonal therapy and chemotherapy. Lack of predictive biomarkers and suboptimal use of existing markers for response to hormonal therapy have resulted in overall limited efficacy.

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Objective: Pre-operative immunohistochemical (IHC) biomarkers are not incorporated in endometrial cancer (EC) risk classification. We aim to investigate the added prognostic relevance of IHC biomarkers to the ESMO-ESGO-ESTRO risk classification and lymph node (LN) status in EC.

Methods: Retrospective multicenter study within the European Network for Individualized Treatment of Endometrial Cancer (ENITEC), analyzing pre-operative IHC expression of p53, L1 cell-adhesion molecule (L1CAM), estrogen receptor (ER) and progesterone receptor (PR), and relate to ESMO-ESGO-ESTRO risk groups, LN status and outcome.

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There is no consensus on the cutoff for positivity of estrogen receptor (ER) and progesterone receptor (PR) in endometrial cancer (EC). Therefore, we determined the cutoff value for ER and PR expression with the strongest prognostic impact on the outcome. Immunohistochemical expression of ER and PR was scored as a percentage of positive EC cell nuclei.

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Background: Oestrogen receptor (ER) expression is a prognostic biomarker in endometrial cancer (EC). However, expression does not provide information about the functional activity of the ER pathway. We evaluated a model to quantify ER pathway activity in EC, and determined the prognostic relevance of ER pathway activity.

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Background: Bayesian networks (BNs) are machine-learning-based computational models that visualize causal relationships and provide insight into the processes underlying disease progression, closely resembling clinical decision-making. Preoperative identification of patients at risk for lymph node metastasis (LNM) is challenging in endometrial cancer, and although several biomarkers are related to LNM, none of them are incorporated in clinical practice. The aim of this study was to develop and externally validate a preoperative BN to predict LNM and outcome in endometrial cancer patients.

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Objective: Uterine serous carcinoma (USC) is presumed to arise from endometrial intra-epithelial carcinoma (EIC), whereas tubo-ovarian high-grade serous carcinomas have similar precursor lesions in the Fallopian tube, i.e. serous tubal intra-epithelial carcinoma (STIC).

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Synchronous primary endometrial and ovarian cancers (SEOs) represent 10% of all endometrial and ovarian cancers and are assumed to develop as independent entities. We investigated the clonal relationship between endometrial and ovarian carcinomas in a large cohort classified as SEOs or metastatic disease (MD). The molecular profiles were compared to The Cancer Genome Atlas (TCGA) data to explore primary origin.

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Background: Early pregnancy failure (EPF) is a common complication of pregnancy. If women do not abort spontaneously, they will undergo medical or surgical treatment in order to remove the products of conception from the uterus. Curettage, although highly effective, is associated with a risk of complications; medical treatment with misoprostol is a safe and less expensive alternative.

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Endometrial carcinoma (EC) is traditionally diagnosed by a histopathological assessment of an endometrial biopsy, leaving up to 30% of patients undiagnosed due to technical failure or an inadequate amount of tissue. The aim of the current study is to assess whether mutational analysis of cervical cytology or pipelle endometrial biopsies improves the diagnostic accuracy of traditional histopathological diagnosis of EC. This prospective multicentre cohort study included patients surgically treated for EC or a benign gynaecological condition (control group).

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Objectives: The global obesity epidemic has great impact on the prevalence of low-grade endometrial carcinoma. The preoperative tumor serum marker cancer antigen 125 (CA-125) might contribute to improved identification of high-risk patients within this group. The study aimed to investigate the prognostic value of CA-125 in relation to established preoperative prognosticators, with a focus on identifying patients with poor outcome in low-grade endometrial carcinoma (EC) patients.

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To investigate the current and future addition of mifepristone to misoprostol treatment in case of early pregnancy failure (EPF), a digital questionnaire was distributed to a representative sample of all Dutch hospitals (25/79). In non-teaching centres, the presence of a local protocol was significantly lower compared to academic and teaching hospitals (=.012).

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Background: In endometrial carcinoma (EC), preoperative classification is based on histopathological criteria, with only moderate diagnostic performance for the risk of lymph node metastasis (LNM). So far, existing molecular classification systems have not been evaluated for prediction of LNM. Optimized use of clinical biomarkers as recommended by international guidelines might be a first step to improve tailored treatment, awaiting future molecular biomarkers.

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Background: Mismatch repair (MMR) deficiency is found in 20 to 40% of endometrial cancers (ECs) and was recently identified as a discerning feature of one of the four prognostic subgroups identified by The Cancer Genome Atlas. There is accumulating evidence that MMR proteins are involved in the DNA repair processes following radiotherapy. We investigated the predictive value of MMR status for response to adjuvant radiotherapy in patients with stage IB/II, grade 3 endometrioid endometrial cancer (EEC).

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Discrimination between low- and high-grade endometrial carcinomas (ECs) is clinically relevant but can be challenging for pathologists, with moderate interobserver agreement. Insulin-like growth factor-II mRNA-binding protein 3 (IMP3) is an oncofoetal protein that is associated with nonendometrioid endometrial carcinomas but has been limited studied in endometrioid carcinomas. The aim of this study is to investigate the diagnostic and prognostic value of IMP3 in the discrimination between low- and high-grade ECs and its added value to L1CAM.

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