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Featured researches published by Petra Biewenga.


Cancer | 2011

Prognostic Model for Survival in Patients With Early Stage Cervical Cancer

Petra Biewenga; Jacobus van der Velden; Ben Willem J. Mol; Lukas J.A. Stalpers; Marten S. Schilthuis; Jan Willem van der Steeg; Matthe P. M. Burger; Marrije R. Buist

In the management of early stage cervical cancer, knowledge about the prognosis is critical. Although many factors have an impact on survival, their relative importance remains controversial. This study aims to develop a prognostic model for survival in early stage cervical cancer patients and to reconsider grounds for adjuvant treatment.


Gynecologic Oncology | 2008

Gene expression in early stage cervical cancer

Petra Biewenga; Marrije R. Buist; Perry D. Moerland; Emiel Ver Loren van Themaat; Antoine H. C. van Kampen; Fiebo J. ten Kate; Frank Baas

OBJECTIVE Pelvic lymph node metastases are the main prognostic factor for survival in early stage cervical cancer, yet accurate detection methods before surgery are lacking. In this study, we examined whether gene expression profiling can predict the presence of lymph node metastasis in early stage squamous cell cervical cancer before treatment. In addition, we examined gene expression in cervical cancer compared to normal cervical tissue. METHODS Tumour samples of 35 patients with early stage cervical cancer who underwent radical hysterectomy and pelvic lymph node dissection, 16 with and 19 without lymph node metastasis, were analysed. Also five normal cervical tissues samples were analysed. We investigated differential expression and prediction of patient status for lymph node positive versus lymph node negative tumours and for healthy versus cancer tissue. Classifiers were built by using a multiple validation strategy, enabling the assessment of both classifier accuracy and variability. RESULTS Five genes (BANF1, LARP7, SCAMP1, CUEDC1 and PEBP1) showed differential expression between tumour samples from patients with and without lymph node metastasis. Mean accuracy of class prediction is 64.5% with a 95% confidence interval (CI) of 40-90%. For healthy cervical tissue versus early stage cervical cancer, the mean accuracy of class prediction is 99.5% (95% CI of 90-100%). A subset of genes involved in cervical cancer was identified. CONCLUSION No accurate class prediction for lymph node status in early stage cervical cancer was obtained. Replication studies are needed to determine the relevance of the differentially expressed genes according to lymph node status. Early stage cervical cancer can be perfectly differentiated from healthy cervical tissue by means of gene expression profiling.


International Journal of Gynecological Cancer | 2010

Can We Predict Vesicovaginal or Rectovaginal Fistula Formation in Patients With Stage IVA Cervical Cancer

Petra Biewenga; Meike A. Q. Mutsaerts; Lukas J.A. Stalpers; Marrije R. Buist; Marten S. Schilthuis; Jacobus van der Velden

Introduction: Patients with cervical carcinoma that invade the bladder or rectum (International Federation of Obstetrics and Gynecology stage IVA) have a high risk to develop vesicovaginal and/or rectovaginal fistulae. If we could identify pretreatment factors that predict fistula formation, these patients could be offered less debilitating treatment. Materials and Methods: Data were retrieved from the database of consecutive patients diagnosed with stage IVA cervical cancer from 1992 to 2008. Overall survival and fistula-free survival were calculated using the Kaplan-Meier method. Univariate and multivariate Cox regression analyses were used to study the association between pretreatment prognostic variables and fistula formation. Results: Thirty patients with stage IVA cervical cancer were diagnosed. Extension to the bladder was present in 27 patients; three patients had only rectal involvement. Twenty-three patients (77%) had curative radiotherapy with or without chemotherapy and/or hyperthermia. Seven patients (23%) received only palliative therapy or no treatment at all. The 5-year overall survival in the curatively treated group was 42%. Five (22%) of these 23 patients developed one or more fistulae: 3 vesicovaginal, 1 rectovaginal, and 1 vesicovaginal and rectovaginal fistulae. The 5-year fistula-free survival of this group was 64%. No significant association was found between the prognostic variables and fistula formation. Conclusions: The risk to develop vesicovaginal and/or rectovaginal fistulae is high after curative radiotherapy with or without chemotherapy and/or hyperthermia in patients with stage IVA cervical cancer. We could not identify further pretreatment factors that might have predicted fistula formation.


Gynecologic Oncology | 2009

Validation of existing prognostic models in patients with early-stage cervical cancer

Petra Biewenga; Jacobus van der Velden; Ben Willem J. Mol; Lukas J.A. Stalpers; Marten S. Schilthuis; Jan Willem van der Steeg; Matthé P.M. Burger; Marrije R. Buist

OBJECTIVE Models that predict survival and recurrence in patients with early-stage cervical cancer are important tools in patient management. We validated 12 existing prognostic models in an independent population of patients with early-stage cervical cancer. MATERIALS AND METHODS We searched the literature for prognostic models in patients with surgically treated early-stage cervical cancer. The prognostic performance of these models was assessed in a consecutive group of surgically treated patients with early-stage cervical cancer treated in our hospital between 1982 and 2004. The performance of the models was visually assessed with calibration plots, which display the relation between the predicted and observed survival. RESULTS Twelve published prognostic models met the inclusion criteria. The models categorized the patients into two to four risk groups. Prognostic factors most frequently used in these models were depth of invasion, lymph node metastasis, vascu/vascular space involvement, and tumor size. The models were validated in 563 consecutive patients with early-stage cervical cancer. All of the models underestimated the recurrence-free survival or disease-specific survival in our patients. Only two models performed reasonably well in our population. The use of more than three prognostic categories in the models was not meaningful. CONCLUSION In general, the models underestimated the survival. Only 2 of the 12 prognostic models for patients with early-stage cervical cancer were valid for the prediction of the recurrence-free or disease-specific survival in our patient population.


Acta Obstetricia et Gynecologica Scandinavica | 2016

Results of radical surgery in women with stage IB2/IIA2 cervical cancer

Marloes Derks; Petra Biewenga; Jacobus van der Velden; Gemma G. Kenter; Lukas J.A. Stalpers; Marrije R. Buist

There is ongoing discussion about the primary treatment of women with bulky early‐stage cervical cancer. Because of the high number of patients who need adjuvant (chemo)radiotherapy after initial surgical treatment, some state that primary (chemo)radiotherapy should be the treatment of choice to prevent morbidity. The aim of our study is to assess the results of radical surgery for women with bulky early‐stage cervical cancer in terms of recurrence patterns and survival.


Gynecologic Oncology | 2004

Does diagnostic hysteroscopy in patients with stage I endometrial carcinoma cause positive peritoneal washings

Petra Biewenga; Sjoerd de Blok; Erwin Birnie


British Journal of General Practice | 2003

The natural course of spontaneous miscarriage: analysis of signs and symptoms in 188 expectantly managed women.

Margreet Wieringa-de Waard; Willem M. Ankum; Gouke J. Bonsel; Jeroen Vos; Petra Biewenga; Patrick J. E. Bindels


Ejc Supplements | 2007

P71 Gene signature and early stage cervical cancer

Marrije R. Buist; Petra Biewenga; Perry D. Moerland; E. Ver Loren van Themaat; A. H. C. van Kampen; F. J. W. Ten Kate; Frank Baas


Ejc Supplements | 2007

P67 Gene signature and lymph node metastasis in patients with early stage cervical cancer

Petra Biewenga; Marrije R. Buist; Perry D. Moerland; E. Ver Loren van Themaat; A. H. C. van Kampen; F. J. W. Ten Kate; Frank Baas


Carcinogenesis | 2003

The natural course of spontaneous miscarriage: analysis of signs and symptoms in 188 expectantly managed women

Margreet Wieringa-de Waard; Willem M. Ankum; Gouke J. Bonsel; Jan C. Vos; Petra Biewenga; Patrick J. E. Bindels

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Frank Baas

Leiden University Medical Center

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F. J. W. Ten Kate

Erasmus University Rotterdam

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Gouke J. Bonsel

Erasmus University Rotterdam

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