Prognostic model for survival in patients with early stage cervical cancer

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

doi:10.1002/cncr.25658

Cited by 132 publications

(98 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multiple models were made by matching of different clinicopathological variables and/or different weighting of the score in each variable, including modifications of previously reported models or predicting systems for early-stage cervical cancer (Delgado et al, 1990;Yuan et al, 1998;Sedlis et al, 1999;Grisaru et al, 2003;Van de Putte et al, 2005;Biewenga et al, 2009;2011). Each variable was scored ranging from 1 to 3; score 1 representing one end with the lowest adverse probability, and score 2 or 3 for the other end with the higher adverse probability.…”

Section: Methodsmentioning

confidence: 99%

“…histologic type, histologic grade, tumor size, depth of stromal invasion, LVSI, venous invasion, parametrial involvement, lymph node metastasis, vaginal involvement, or invasive pattern), or ancillary investigation results (i.e. DNA index by flow cytometry or HPV18 detection) (Kamura et al, 1992;Sevin et al, 1996;Lai et al, 1999;Trattner et al, 2001;Takeda et al, 2002;Grisaru et al, 2003;Ayhan et al, 2004;Ho et al, 2004;Shinohara et al, 2004;Lai et al, 2007;Metindir and Bilir, 2007;Sartori et al, 2007;Behtash et al, 2009;Biewenga et al, 2009;2011). When applied to our patient population, only two of these prognostic models by Shinohara et al (2004) and Ho et al (2004) could identify the patient group with a significantly higher recurrence rate than the remaining cases (p<0.05).…”

Section: Prognostic Model In Patients With Early-stage Squamous Cell mentioning

confidence: 99%

“…Several pathologic features have been extensively studied and recognized as standard prognostic features such as extent of tumor invasion, presence of lymphovascular space invasion (LVSI), parametrial involvement, and lymph node metastasis (Biewenga et al, 2009;2011;Suprasert et al, 2010). The pathologic characteristics at the invasive margin (tumor front) were found to provide prognostic information in several types of cancers, including the uterine cervix (Bryne et al, 1998;Kristensen et al, 1999;Horn et al, 2006a;Eggen et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prognostic Model in Patients with Early-stage Squamous Cell Carcinoma of the Uterine Cervix: A Combination of Invasive Margin Pathological Characteristics and Lymphovascular Space Invasion

Khunamornpong

Lekawanvijit²,

Settakorn³

et al. 2013

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

Background: This study aimed to develop a prognostic model in patients with early-stage cervical squamous cell carcinoma based on clinicopathological features, including invasive margin characteristics. Materials and Methods: Clinicopathological features and outcomes of 190 patients with FIGO stage IB-IIA cervical squamous cell carcinoma treated by surgery were collected and analyzed for factors associated with tumor recurrence. In addition to well-recognized pathological risk factors, the pathological characteristics of invasive margin (type of invasive pattern and degree of stromal desmoplasia and peritumoral inflammatory reaction) were also included in the analysis. Multiple scoring models were made by matching different clinicopathological variables and/ or different weighting of the score for each variable. The model with the best performance in the prediction of recurrence and decreased survival was selected. Results: The model with the best performance was composed of a combined score of invasive pattern, lymphovascular space invasion (LVSI), and degree of inflammatory reaction and stromal desmoplasia (total score =10). Compared to those with score ≤8, the patients with score 9-10 had a significantly higher recurrence rate in the overall group (p<0.001) and the subgroup without adjuvant therapy (p<0.001), while the significance was marginal in the subgroup with adjuvant therapy (p=0.069). In addition, the patients with score 9-10 had a higher rate of tumor recurrence at distant sites (p=0.007). The disease-free survival was significantly lower in the patients with score 9-10 than those with score ≤8 among the overall patients (p<0.001), in the subgroup without adjuvant therapy (p<0.001), and the subgroup with adjuvant therapy (p=0.047). Conclusions: In this study, a prognostic model based on a combination of pathological characteristics of invasive margin and LVSI proved to be predictive of tumor recurrence and decreased disease-free survival in patients with early-stage cervical squamous cell carcinoma.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Prognostic Model In Patients With Early-stage Squamous Cell mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prognostic Model in Patients with Early-stage Squamous Cell Carcinoma of the Uterine Cervix: A Combination of Invasive Margin Pathological Characteristics and Lymphovascular Space Invasion

Khunamornpong

Lekawanvijit²,

Settakorn³

et al. 2013

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

show abstract

“…Chemotherapy is often used to treat tumours that have spread or have reappeared after treatment 4. Therefore, there is an urgent need for more effective and less toxic therapies that could be represented by molecular target‐directed drugs.…”

Section: Introductionmentioning

confidence: 99%

HMQ‐T‐F2 exert antitumour effects by upregulation of Axin in human cervical HeLa cells

Dai

Yang

Yin

et al. 2018

J Cellular Molecular Medi

View full text Add to dashboard Cite

Looking for novel, effective and less toxic therapies for cervical cancer is of significant importance. In this study, we reported that HMQ‐T‐F2(F2) significantly inhibited cell proliferation and transplantable tumour growth. Mechanistically, HMQ‐T‐F2 inhibited HeLa cell growth through repressing the expression and nuclear translocation of β‐catenin, enhancing Axin expression, as well as downregulating the Wnt downstream targeted proteins. Knock‐down of a checkpoint β‐catenin by siRNA significantly attenuated HeLa cell proliferation. Furthermore, XAV939, an inhibitor of β‐catenin, was used to treat HeLa cells and the results demonstrated that HMQ‐T‐F2 inhibited proliferation and migration via the inhibition of the Wnt/β‐catenin pathway.

show abstract

“…Although the International Federation of Gynecology and Obstetrics (FIGO) staging system does not include lymph node (LN) status 2, presence of lymph node metastasis (LNM) is considered the most important prognostic factor 3, 4, 5 in cervical cancer patients.…”

Section: Introductionmentioning

confidence: 99%

Beyond sentinel node algorithm. Toward a more tailored surgery for cervical cancer patients

et al. 2016

View full text Add to dashboard Cite

Nowadays cervical cancer is frequently diagnosed at early stage. For these patients lymph node metastasis (LNM) is considered the most important prognostic factor. During the last decade many efforts have been made to reduce rate of complications associated with lymphadenectomy (LND). A great interest has arisen in sentinel lymph node (SLN) biopsy as a technique able to decrease number of LND performed and, at the same time, to assess lymph nodal status. High diagnostic performances have been reached thanks to SLN surgical algorithm. However, despite the efforts, about 25% of these patients undergo at least unilateral LND to meet NCCN recommendations. Data of women with International Federation of Gynecology and Obstetrics stage IA1‐IB1/IIA1 cervical carcinoma were retrospectively collected by six Italian institutions. All patients underwent complete preoperative staging workup and were primarily treated by radical hysterectomy and pelvic bilateral LND. A total of 368 patients with early‐stage cervical cancer were identified. Among them 333 (90.5%) showed no suspicious enlarged nodes at the preoperative magnetic resonance imaging (MRI). In this subset, tumor diameter ≥20 mm was the only independent predictor of LN status (P = 0.003). None of the 106 patients with negative MRI nodal assessment, with squamous and adenosquamous histotype and a tumor diameter less than 2 cm had LNM. Based on these results we propose a new modified SLN surgical algorithm that could safely reduce LND performed in patients with very low‐risk early‐stage cervical cancer.

show abstract

Prognostic model for survival in patients with early stage cervical cancer

Cited by 132 publications

References 35 publications

Prognostic Model in Patients with Early-stage Squamous Cell Carcinoma of the Uterine Cervix: A Combination of Invasive Margin Pathological Characteristics and Lymphovascular Space Invasion

Prognostic Model in Patients with Early-stage Squamous Cell Carcinoma of the Uterine Cervix: A Combination of Invasive Margin Pathological Characteristics and Lymphovascular Space Invasion

HMQ‐T‐F2 exert antitumour effects by upregulation of Axin in human cervical HeLa cells

Beyond sentinel node algorithm. Toward a more tailored surgery for cervical cancer patients

Contact Info

Product

Resources

About