Current FIGO Staging for Carcinoma of the Cervix Uteri and Treatment of Particular Stages

Sehnal, Borek; Kmoníčková, Emanuela; Sláma, Jiří; Tomancová, Věra; Zikán, Michal

doi:10.14735/amko2019224

Cited by 4 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present study was conducted to validate the new FIGO 2018 staging system by assessing the stage migration and survival outcomes. In the revised staging, Stage IB tumors are classified into three substages (IB1-IB3) based upon the tumor's size: IB1 < 2 cm, IB2 between 2 to 4 cm, and IB3 > 4 cm [ 2 , 8 ]. Patients with positive lymph nodes are classified as stage IIIC1 (pelvic lymph nodes) or IIIC2 (positive para-aortic nodes with or without pelvic lymph nodes) [ 2 , 9 - 10 ].…”

Section: Discussionmentioning

confidence: 99%

Stage Migration in Cervical Cancer Using the FIGO 2018 Staging System: A Retrospective Survival Analysis Using a Single-Institution Patient Cohort

Thomas¹,

Reddy²,

Gandhi³

et al. 2021

Cureus

View full text Add to dashboard Cite

Introduction The International Federation of Gynecology and Obstetrics (FIGO) changed the staging system for cervical cancer in 2018 and formally allowed cross-sectional imaging for staging purposes. Stage IB is now divided into three substages based on tumor size (IB1 < 2 cm, IB2 2-4 cm and IB3 > 4 cm). The presence of lymph nodes in the pelvis or para-aortic region will upstage the patient to stage IIIC. The purpose of this study was to evaluate the extent of stage migration using the FIGO 2018 staging system for cervical cancer and validate the new staging system by assessing the survival outcomes. Methods An Institutional Review Board-approved and Health Insurance Portability and Accountability Act-compliant retrospective analysis was performed on 158 patients from the cervical cancer database at the University of Mississippi Medical Center, USA. Patients had been treated between January 2010 and December 2018, and they were all staged according to the FIGO 2009 staging system previously. We collected data regarding tumor size, lymph node presence, and extent of metastatic disease in the pretreatment CT, positron emission tomography (PET), or MRI scans and restaged the patients using the FIGO 2018 system. The extent of stage migration was evaluated using the new staging system. We analyzed the three-year overall survival (OS) using both FIGO 2009 and 2018 staging systems for validation purposes. Kaplan-Meier analyses were performed using SPSS version 24. Results Fifty-nine percent of the patients were upstaged when they were restaged using the FIGO 2018 staging system. In the current 2018 staging system, Stage IB3 accounted for 4%, and Stage IIIC accounted for 48% of the patient cohort, while other stages accounted for the rest. The median overall survival of the entire cohort was 20.5 months. There was a change in the survival curves using FIGO 2018 stages compared to those of FIGO 2009. There was a numerical improvement in three-year OS in stages IB and III among the two staging systems; however, it was not statistically significant. Interestingly, the three-year overall survival of Stage IIIC patients was better when compared to Stages III A& B combined (61% vs. 25%, p=0.017). Conclusion The increased availability of cross-sectional imaging across the world has led to recent changes in the FIGO staging system for cervical cancer, which allowed imaging in staging. We identified a significant stage migration in our patient cohort with the FIGO 2018 staging system, but no difference in the three-year overall survival was observed. Local tumor extent may be a worse prognostic indicator than nodal metastasis among stage III patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Stage Migration in Cervical Cancer Using the FIGO 2018 Staging System: A Retrospective Survival Analysis Using a Single-Institution Patient Cohort

Thomas¹,

Reddy²,

Gandhi³

et al. 2021

Cureus

View full text Add to dashboard Cite

show abstract

“…Current clinically relevant and evidence-based guidelines mainly suggest use of the FIGO staging system for selection of the treatment regimen and prediction of prognosis [ 9 ]. This system has been revised periodically based on clinical risk factors to improve staging and differentiation of prognostic outcomes [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a 18F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study

Liu,

Cui,

Chang

et al. 2024

BMC Cancer

View full text Add to dashboard Cite

Background The existing staging system cannot meet the needs of accurate survival prediction. Accurate survival prediction for locally advanced cervical cancer (LACC) patients who have undergone concurrent radiochemotherapy (CCRT) can improve their treatment management. Thus, this present study aimed to develop and validate radiomics models based on pretreatment 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)-computed tomography (CT) images to accurately predict the prognosis in patients. Methods The data from 190 consecutive patients with LACC who underwent pretreatment 18F-FDG PET-CT and CCRT at two cancer hospitals were retrospectively analyzed; 176 patients from the same hospital were randomly divided into training (n = 117) and internal validation (n = 50) cohorts. Clinical features were selected from the training cohort using univariate and multivariate Cox proportional hazards models; radiomic features were extracted from PET and CT images and filtered using least absolute shrinkage and selection operator and Cox proportional hazard regression. Three prediction models and a nomogram were then constructed using the previously selected clinical, CT and PET radiomics features. The external validation cohort that was used to validate the models included 23 patients with LACC from another cancer hospital. The predictive performance of the constructed models was evaluated using receiver operator characteristic curves, Kaplan Meier curves, and a nomogram. Results In total, one clinical, one PET radiomics, and three CT radiomics features were significantly associated with progression-free survival in the training cohort. Across all three cohorts, the combined model displayed better efficacy and clinical utility than any of these parameters alone in predicting 3-year progression-free survival (area under curve: 0.661, 0.718, and 0.775; C-index: 0.698, 0.724, and 0.705, respectively) and 5-year progression-free survival (area under curve: 0.661, 0.711, and 0.767; C-index, 0.698, 0.722, and 0.676, respectively). On subsequent construction of a nomogram, the calibration curve demonstrated good agreement between actually observed and nomogram-predicted values. Conclusions In this study, a clinico-radiomics prediction model was developed and successfully validated using an independent external validation cohort. The nomogram incorporating radiomics and clinical features could be a useful clinical tool for the early and accurate assessment of long-term prognosis in patients with LACC patients who undergo concurrent chemoradiotherapy.

show abstract

“…Aggressive surgical debulking of the tumor and chemotherapy are the widely used treatment strategies 1 , 2 . However, due to chemoresistance, the five-year survival rate of ovarian cancer is around 47% for all stages 3 , 4 . Notably, the progression of tumor chemoresistance is a complex process involving multigenes, proteins, and factors 5 .…”

Section: Introductionmentioning

confidence: 99%

Reduced O-GlcNAcylation of SNAP-23 promotes cisplatin resistance by inducing exosome secretion in ovarian cancer

Qian

Yang

et al. 2021

Cell Death Discov.

View full text Add to dashboard Cite

Exosomes have been associated with chemoresistance in various cancers, but such a role in ovarian cancer is not yet clear. Here, using in vitro cell-based and in vivo mouse model experiments, we show that downregulation of O-GlcNAcylation, a key post-translational protein modification, promotes exosome secretion. This increases exosome-mediated efflux of cisplatin from cancer cells resulting in chemoresistance. Mechanistically, our data indicate that downregulation of O-GlcNAclation transferase (OGT) reduces O-GlcNAclation of SNAP-23. Notably, O-GlcNAcylation of SNAP-23 is vital for regulating exosome release in ovarian cancer cells. Reduced O-GlcNAclation of SNAP-23 subsequently promotes the formation of soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) complex consisting of SNAP-23, VAMP8, and Stx4 proteins. This enhances exosome release causing chemoresistance by increasing the efflux of intracellular cisplatin.

show abstract

Current FIGO Staging for Carcinoma of the Cervix Uteri and Treatment of Particular Stages

Cited by 4 publications

References 11 publications

Stage Migration in Cervical Cancer Using the FIGO 2018 Staging System: A Retrospective Survival Analysis Using a Single-Institution Patient Cohort

Stage Migration in Cervical Cancer Using the FIGO 2018 Staging System: A Retrospective Survival Analysis Using a Single-Institution Patient Cohort

Development and validation of a 18F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study

Reduced O-GlcNAcylation of SNAP-23 promotes cisplatin resistance by inducing exosome secretion in ovarian cancer

Contact Info

Product

Resources

About