scholarly journals The Prostaglandin EP3 Receptor Is an Independent Negative Prognostic Factor for Cervical Cancer Patients

2017 ◽  
Vol 18 (7) ◽  
pp. 1571 ◽  
Author(s):  
Helene Heidegger ◽  
Sebastian Dietlmeier ◽  
Yao Ye ◽  
Christina Kuhn ◽  
Aurelia Vattai ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Negative Prognostic Factor ◽  
Ep3 Receptor ◽  
Independent Negative Prognostic Factor

scholarly journals Circulating Tumor Cells Counting Act as a Potential Prognostic Factor in Cervical Cancer

2020 ◽  
Vol 19 ◽  
pp. 153303382095700 ◽  
Author(s):  
Kunpeng Du ◽  
Qian Huang ◽  
Junguo Bu ◽  
Jieling Zhou ◽  
Zijian Huang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prognostic Factor ◽  
Progression Free Survival ◽  
Disease Stage ◽  
Histological Differentiation ◽  
Free Survival ◽  
Pathological Type ◽  
Negative Prognostic Factor ◽  
The Relationship ◽  
Independent Negative Prognostic Factor

Background: Circulating tumor cells (CTCs) hold huge potential for both clinical applications and basic research into the management of cancer, but the relationship between CTC count and cervical cancer prognosis remains unclear. Therefore, research on this topic is urgently required. Objective: This study investigated whether CTCs were detectable in patients with cervical cancer and whether CTC count was an indicator of prognosis. Methods: We enrolled 107 patients with pathologically confirmed cervical cancer. CTCs were detected after radiotherapy or concurrent cisplatin-containing chemotherapy in all patients. We evaluated all medical records and imaging data as well as follow-up information to calculate progression-free survival (PFS). PFS was defined as the time until first diagnosis of tumor progression or death. We also analyzed the relationship between CTC count and patient age, disease stage, histological differentiation, tumor size, and pathological type. Results: CTCs were identified in 86 of 107 patients (80%), and the CTC count ranged from 0 to 27 cells in 3.2 mL blood. The median progression-free survival (PFS) was 43.1 months. Patients in which CTCs were detected had a significantly shorter PFS than CTC-negative patients (P = 0.018). Multivariate analysis indicated that CTC count was an independent negative prognostic factor for survival. However, no correlation was observed between CTC count and patient age, disease stage, histological differentiation, tumor size, and pathological type. Conclusion: CTC count is an independent negative prognostic factor for cervical cancer.

scholarly journals Prognosis-Predicting Model Based on [18F]fluorodeoxyglucose PET Metabolic Parameters in Locally Advanced Cervical Cancer Patients Treated with Concurrent Chemoradiotherapy: Multi-Center Retrospective Study

2020 ◽  
Vol 9 (2) ◽  
pp. 427
Author(s):  
Won Kee Lee ◽  
Gun Oh Chong ◽  
Shin Young Jeong ◽  
Hyun Jung Lee ◽  
Shin-Hyung Park ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Concurrent Chemoradiotherapy ◽  
Locally Advanced ◽  
Advanced Cervical Cancer ◽  
Predicting Model ◽  
Locally Advanced Cervical Cancer ◽  
Model Based ◽  
Negative Prognostic Factor

This study aimed to develop a prognosis-predicting model based on [18F]fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and clinicopathologic factors in locally advanced cervical cancer patients treated with concurrent chemoradiotherapy (CCRT). The medical records of 270 locally advanced cervical cancer patients who were treated with CCRT were collected from three institutions and reviewed retrospectively. A nomogram was used for predicting 2-year disease-free survival (DFS) and 5-year overall survival (OS) based on Cox proportional hazards regression. Predictor variables included nodal maximum standardized uptake value (SUVmax), primary tumor SUVmax, age, tumor size, stage, serum squamous cell carcinoma antigen level, and human papillomavirus status. Internal nomogram validation was performed. A nomogram for predicting the 2-year DFS and 5-year OS was constructed using six and seven parameters, respectively. With a focus on 2-year DFS, our model found nodal SUVmax to be the highest weighted negative prognostic factor. With a focus on 5-year OS, young age was the highest weighted negative prognostic factor. The concordance index was 0.75 and 0.78 for the 2-year DFS and 5-year OS, respectively. This nomogram is a predictive tool that can be used to counsel patients for predicting survival outcomes. Moreover, our prognosis-predicting model may make it possible to personalize treatment.

scholarly journals EMMPRIN Is an Independent Negative Prognostic Factor for Patients with Astrocytic Glioma

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e58069 ◽  
Author(s):  
Li Tian ◽  
Yang Zhang ◽  
Yu Chen ◽  
Min Cai ◽  
Hailong Dong ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Astrocytic Glioma ◽  
Negative Prognostic Factor ◽  
Independent Negative Prognostic Factor

scholarly journals Nuclear Expression of Snail Is an Independent Negative Prognostic Factor in Human Breast Cancer

2013 ◽  
Vol 35 ◽  
pp. 337-344 ◽  
Author(s):  
S. Muenst ◽  
S. Däster ◽  
E. C. Obermann ◽  
R. A. Droeser ◽  
W. P. Weber ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factor ◽  
Human Cancer ◽  
Lymph Node Status ◽  
Intrinsic Subtypes ◽  
Snail Expression ◽  
Mesenchymal Transition ◽  
Luminal B ◽  
Negative Prognostic Factor ◽  
Independent Negative Prognostic Factor

Background. Snail is a key regulator of epithelial-mesenchymal transition of tumor cells. Several studies have shown nuclear Snail expression to be a negative prognostic factor in human cancer, where it is generally associated with more aggressive tumor behavior and worse survival.Objectives and Methods. To further explore the role of Snail expression in breast cancer, we conducted a study on a tissue microarray, encompassing 1043 breast cancer cases.Results. A total of 265 (25.4%) breast cancers were positive for Snail. Snail expression was significantly associated with greater tumor size, higher tumor stage and grade, positive lymph node status, and hormone receptor negative status and was differently expressed in the intrinsic subtypes of breast cancer, being the highest in the basal-like subtype and the lowest in the luminal A subtype. In multivariate analysis, Snail proved to be an independent negative prognostic factor for OS. In the intrinsic subtypes, Snail expression was a negative prognostic factor for OS in the luminal B HER2−, the luminal B HER2+, and the basal-like subtype.Conclusions. This is the first study demonstrating that nuclear Snail expression is an independent negative predictor of prognosis in breast cancer, thus suggesting that it may represent a potential therapeutic target.

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