Validation of the 2018 FIGO cervical cancer staging system.
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ABSTRACT:
SUBMITTER: Matsuo K
PROVIDER: S-EPMC7528458 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Publications
Validation of the 2018 FIGO cervical cancer staging system.
Matsuo Koji K Machida Hiroko H Mandelbaum Rachel S RS Konishi Ikuo I Mikami Mikio M
Gynecologic oncology 20181030 1
<h4>Objective</h4>To validate the revised 2018 International Federation of Gynecology and Obstetrics (FIGO) staging system for cervical cancer, with a particular focus on stage IB and stage III disease.<h4>Methods</h4>Two retrospective cohort studies were conducted using The Surveillance, Epidemiology, and End Results Program between 1988 and 2014. The stage IB cohort consisted of node-negative FIGO stage IB1 (tumor size <2 cm), IB2 (2-3.9 cm), and IB3 (≥4 cm) cervical cancer. The stage III coho ...[more]
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Project description:BackgroundIn 2018, a revised staging system was released for cervical cancer, which defined pelvic and paraaortic lymph node metastasis as stages IIIC1 and IIIC2, respectively. In this study, we constructed and validated nomograms to predict the 3- and 5-year survival of patients with cervical cancer based on the revised International Federation of Gynecology and Obstetrics (FIGO) staging system.MethodsWe retrospectively examined patients with 2009 FIGO stage IB-IVA cervical cancer who were treated at our institute between 2011 and 2015. Patients were randomized into the model development and validation cohorts (2:1). Univariate and multivariate analyses were conducted for the model development cohort to identify prognostic factors. In the multivariate analysis, nomograms were built to predict overall survival (OS) and disease-free survival (DFS) using significant variables. The nomograms were assessed based on the discrimination and calibration in both cohorts. Discrimination was assessed using the concordance index. Calibration was performed by comparing the mean nomogram estimated survival and the mean observed survival.ResultsWe included 1,192 patients, with 795 and 397 patients in the model development and validation cohorts, respectively. In the model development cohort, the median follow-up period was 49.2 months. After multivariate analysis, age, histology, 2018 FIGO stage, and pelvic lymph node number were independent factors for OS. Histology, 2018 FIGO stage, squamous cell carcinoma antigen, and pelvic lymph node number were significant predictors of DFS. The nomograms constructed to predict OS and DFS were based on these factors. In both model cohorts, the concordance index for the nomogram-predicted OS and DFS was 0.78 and 0.75 and 0.74 and 0.67, respectively. The calibration curve revealed good agreement between the nomogram predictions and actual values.ConclusionWe constructed robust nomograms to predict the OS and DFS of patients with cervical cancer undergoing treatment with concurrent chemoradiotherapy based on the 2018 FIGO staging system.
| S-EPMC9130963 | biostudies-literature
Project description:The FIGO 2018 staging system was introduced to allow better prognostic differentiation in cervical cancer, causing considerable stage migration and affecting treatment options. We evaluated the accuracy of the FIGO 2018 staging in predicting recurrence free (RFS) and overall survival (OS) compared to FIGO 2009 staging in clinically early stage cervical cancer. We conducted a nationwide retrospective cohort study, including 2264 patients with preoperative FIGO (2009) IA1, IA2 and IB1 cervical cancer between 2007-2017. Kaplan-Meier analyses were used to assess survival outcomes. Logistic regression was used to assess risk factors for lymph node metastasis and parametrial invasion. Stage migration occurred in 48% (22% down-staged, 26% up-staged). Survival data of patients down-staged from IB to IA1/2 disease were comparable with FIGO 2009 IA1/2 and better than patients remaining stage IB1. LVSI, invasion depth and parametrial invasion were risk factors for lymph node metastases. LVSI, grade and age were associated with parametrial invasion. In conclusion, the FIGO 2018 staging system accurately reflects prognosis in early stage cervical cancer and is therefore more suitable than the FIGO 2009 staging. However subdivision in IA1 or IA2 based on presence or absence of LVSI instead of depth of invasion would have improved accuracy. For patients down-staged to IA1/2, less radical surgery seems appropriate, although LVSI and histology should be considered when determining the treatment plan.
| S-EPMC9265081 | biostudies-literature
Project description:Satinder KaurPurpose The aim of this article was to study survival outcomes of early-stage cervical cancer patients and impact on survival after restaging them as per International Federation of Gynecology and Obstetrics (FIGO) 2018. Materials and Methods A retrospective study was conducted from June 1, 2013 to May 31, 2018 in a tertiary care hospital in North India. One-hundred patients of early-stage cervical cancer (as per FIGO 2009 staging) who had been treated by surgery followed by risk based tailored adjuvant therapy in our hospital were evaluated. The clinicopathological features and survival outcomes of these patients were analyzed. These patients were then restaged as per new FIGO 2018 staging and survival outcomes between two FIGO classifications were compared. Results The median age of the study population was 52.5 years with median follow-up of 62.1 months. Ninety percent of our patients had more than 2 years follow-up and 59% had more than 5 years follow-up. The overall survival and relapse-free survival were 87.5 and 91.4%, respectively. The study population was then reclassified according to new FIGO 2018 staging. It was seen that the patients with stage IB1and IB2 cervical cancer had overall survival of 91.1 and 90%, respectively. The overall survival of stage IB3 was 80% and the survival of stage IIIC1 was only 60%. Conclusion The new FIGO 2018 classification has a significant effect on survival outcome and in prognostication of patients with cervical cancer.
| S-EPMC9803530 | biostudies-literature
Project description:Recent widespread use of three-dimensional image-guided brachytherapy (3D-IGBT) has improved radiotherapy outcomes of cervical cancer dramatically. In 2018, the International Federation of Gynecology and Obstetrics (FIGO) staging system for cervical cancer was revised. However, the influence of the revisions on the stage distribution and outcomes of cervical cancers treated with 3D-IGBT remains unclear. Here, we retrospectively analyzed 221 patients with cervical squamous cell carcinoma treated with definitive radiotherapy using 3D-IGBT (median follow-up, 60 months). The stage distribution and outcomes were compared between the 2009 and 2018 schemas. Stage migration occurred in 52.9% of the patients. Patients classified with the 2018 criteria as stage IIICr had the highest proportion (43.8%) of migration, and were mainly from the 2009 stages IIB and IIIB. The 2009 and 2018 schemas showed comparable performance at stratifying 5-year overall survival (OS) and 5-year progression-free survival (PFS) for patients in stages IB-IVA. The 2018 criteria effectively stratified 5-year OS and PFS in the stage III substages. The 5-year OS and PFS for stage IIIC1r patients varied according to tumor T stage. These data provide evidence for the utility of the revised 2018 FIGO staging system in the clinical management of cervical cancers in the 3D-IGBT era.
| S-EPMC7408064 | biostudies-literature
Project description:Lymph node status has become part of the new staging system for cervical cancer (CC). It has been shown that patients staged as IIIC1 had heterogeneous prognoses and, in some cases, experienced better outcomes than patients with lower stages. We evaluated the impact of the number of metastatic pelvic lymph nodes (MPLNs) among patients with stage IIIC1 cervical cancer. Survival analyses were conducted in order to identify the best cut-off prognostic value relative to the number of MPLNs. Disease free survival (DFS) was considered the main outcome. 541 patients were included in the study. Eighty-nine patients were of stage IIIC1. The best prognostic cut-off value of the number of MPLNs was 2. Patients with >2 MPLNs (n > 2 group) had worse DFS compared with those having <2 (N1-2 group) (5 yr DFS: 54.7% vs 78.1%, p value = 0.006). Multivariate analyses demonstrated that the extent of MPLNs had little impact on DFS and that replacement of IIIC1 staging with N1-2 and n > 2 grouping provided a better, statistically significant model (p value = 0.006). Using a cut-off value of 2, the number of MPLNs could better predict prognostic outcomes within stage IIIC1 cervical cancer and have potential implications for therapeutic decision-making in the treatment of patients with stage IIIC1 CC.
| S-EPMC7352475 | biostudies-literature
Project description:BackgroundTo compare the oncological outcomes of patients with FIGO 2018 stage IIIC cervical cancer (CC) involving different local tumor factors who underwent abdominal radical hysterectomy (ARH), neoadjuvant chemotherapy and radical surgery (NACT), or radical chemoradiotherapy (R-CT).MethodsBased on tumor staging, patients with stage IIIC were divided into T1, T2a, T2b, and T3 groups. Kaplan-Meier and Cox proportional hazards regression analysis were used to compare their overall survival (OS) and disease-free survival (DFS) of 5 years.ResultsWe included 4,086 patients (1,117, 1,019, 869, and 1,081 in the T1, T2a, T2b, and T3 groups, respectively). In the T1 group, NACT was correlated with a decrease in OS (hazard ratio [HR] = 1.631, 95% confidence interval [CI]: 1.150-2.315, P = 0.006) and DFS (HR = 1.665, 95% CI: 1.255-2.182, P < 0.001) than ARH. ARH and NACT were not correlated with OS (P = 0.226 and P = 0.921) or DFS (P = 0.343 and P = 0.535) than R-CT. In the T2a group, NACT was correlated with a decrease in OS (HR = 1.454, 95% CI: 1.057-2.000, P = 0.021) and DFS (HR = 1.529, 95% CI: 1.185-1.974, P = 0.001) than ARH. ARH and NACT were not correlated with OS (P = 0.736 and P = 0.267) or DFS (P = 0.714 and P = 0.087) than R-CT. In the T2b group, NACT was correlated with a decrease in DFS (HR = 1.847, 95% CI: 1.347-2.532, P < 0.001) than R-CT nevertheless was not correlated with OS (P = 0.146); ARH was not correlated with OS (P = 0.056) and DFS (P = 0.676). In the T3 group, the OS rates of ARH (n = 10), NACT (n = 18), and R-CT (n = 1053) were 67.5%, 53.1%, and 64.7% (P = 0.941), and the DFS rates were 68.6%, 45.5%, and 61.1%, respectively (P = 0.761).ConclusionR-CT oncological outcomes were not entirely superior to those of NACT or ARH under different local tumor factors with stage IIIC. NACT is not suitable for stage T1, T2a, and T2b. Nevertheless ARH is potentially applicable to stage T1, T2a, T2b and T3. The results of stage T3 require confirmation through further research due to disparity in case numbers in each subgroup.
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Project description:ObjectiveTo compare the prognostic value of International Federation of Gynecology and Obstetrics (FIGO) 2009 and 2018 staging systems in surgical patients with small cell neuroendocrine carcinoma of the cervix (SCNEC).MethodsWe re-staged 64 surgical IB-IIA (FIGO 2009) SCNEC patients according to the FIGO 2018 system and refined stage IIIC of FIGO 2018 based on tumor local invasion. The prognostic factors were analyzed, and the advantages of FIGO 2018 were compared with 2009.ResultsThe 5-year overall survival rate (OS) was 78.5% for stage I and 22.2% for stage II (FIGO 2009). In FIGO 2018, there was no difference between stage I and II, and the 5-year OS was 74.1%, 60.2%, and 0% for stage I/II, IIIC1, and IIIC2. After combining stage IIIC with the local invasion stage (T1 was limited to the cervix and vagina; T2 involved the parametrium; T3 involved the pelvic or abdominal cavity), the 5-year OS for stage IIICT1, IIICT2, and IIICT3 was 83.3%, 30.0%, and 0%, respectively.ConclusionsFor stage II SCNEC patients, FIGO 2009 underestimated the prognosis, while FIGO 2018 was more accurate. For stage IIIC, FIGO 2018 might be more individualized and accurate after combining stage IIIC with tumor local invasion.
| S-EPMC8753085 | biostudies-literature
Project description:BackgroundMost cervical cancer patients worldwide receive surgical treatments, and yet the current International Federation of Gynecology and Obstetrics (FIGO) staging system do not consider surgical-pathologic data. We propose a more comprehensive and prognostically valuable surgical-pathologic staging and scoring system (SPSs).MethodsRecords from 4,220 eligible cervical cancer cases (Cohort 1) were screened for surgical-pathologic risk factors. We constructed a surgical-pathologic staging and SPSs, which was subsequently validated in a prospective study of 1,104 cervical cancer patients (Cohort 2).ResultsIn Cohort 1, seven independent risk factors were associated with patient outcome: lymph node metastasis (LNM), parametrial involvement, histological type, grade, tumor size, stromal invasion, and lymph-vascular space invasion (LVSI). The FIGO staging system was revised and expanded into a surgical-pathologic staging system by including additional criteria of LNM, stromal invasion, and LVSI. LNM was subdivided into three categories based on number and location of metastases. Inclusion of all seven prognostic risk factors improves practical applicability. Patients were stratified into three SPSs risk categories: zero-, low-, and high-score with scores of 0, 1 to 3, and ?4 (P=1.08E-45; P=6.15E-55). In Cohort 2, 5-year overall survival (OS) and disease-free survival (DFS) outcomes decreased with increased SPSs scores (P=9.04E-15; P=3.23E-16), validating the approach. Surgical-pathologic staging and SPSs show greater homogeneity and discriminatory utility than FIGO staging.ConclusionsSurgical-pathologic staging and SPSs improve characterization of tumor severity and disease invasion, which may more accurately predict outcome and guide postoperative therapy.
| S-EPMC4991512 | biostudies-literature
Project description:BackgroundNomograms are predictive tools widely used for estimating cancer prognosis. We aimed to develop/validate a nomogram to predict the postsurgical 5-year overall survival (OS) and disease-free survival (DFS) probability for patients with stages IB1, IB2, and IIA1 cervical cancer [2018 International Federation of Gynecology and Obstetrics (FIGO 2018)].MethodsWe retrospectively enrolled cervical cancer patients at 47 hospitals with stages IB1, IB2, and IIA1 disease from the Clinical Diagnosis and Treatment for Cervical Cancer in China database. All patients were assigned to either the development or validation cohort (75% of patients used for model construction and 25% used for validation). OS and DFS were defined as the clinical endpoints. Clinicopathological variables were analyzed based on the Cox proportional hazards regression model. A nomogram was established and validated internally (with bootstrapping) and externally, and its performance was assessed according to the concordance index (C-index), receiver-operating characteristic curve, and calibration plot.ResultsIn total, 4,065 patients were enrolled and assigned to the development cohort (n=3,074) or validation cohort (n=991). The OS nomogram was constructed based on age, FIGO stage, stromal invasion, and lymphovascular space invasion (LVSI). The DFS nomogram was constructed based on the FIGO stage, histological type, stromal invasion, and LVSI. Both nomograms showed greater discrimination than the FIGO 2018 staging system in the development cohort [OS nomogram vs. FIGO 2018: C-index =0.69 vs. 0.61, area under the curve (AUC): 69.8 vs. 60.3; DFS nomogram vs. FIGO 2018: C-index =0.64 vs. 0.57, AUC: 62.6 vs. 56.9], and the same results were observed the definition in the validation cohort. Calibration plots demonstrated good agreement between the predicted and actual probabilities of 5-year OS/DFS in the development and validation cohorts. We stratified the patients into 3 subgroups with differences in OS/DFS. Each risk subgroup presented a distinct prognosis.ConclusionsWe successfully developed a robust and powerful model for predicting 5-year OS/DFS in stages IB1, IB2, and IIA1 cervical cancer (FIGO 2018) for the first time. Internal and external validation showed that the model had great prediction performance and was superior to the currently utilized FIGO staging system.
| S-EPMC8848419 | biostudies-literature
Project description:BackgroundPrimary peritoneal serous carcinoma (PPSC) is a rare tumor that lacks a prognostic prediction model. Our study aims to develop a nomogram to predict overall survival (OS) of PPSC patients.MethodsPatients confirmed to have PPSC between 2004 and 2012 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. LASSO and multivariate Cox regression analyses were used to screen for meaningful independent prognostic factors to construct a nomogram model for 3-, 5-, and 10-year OS among patients with PPSC. The nomogram compared the discrimination, calibration, and net benefits with the International Federation of Gynecology and Obstetrics (FIGO) staging system of PPSC patients.ResultsEight variables were selected to establish the nomogram for PPSC. The established nomogram performed significantly better than the FIGO staging system (p < 0.05). The 3-, 5-, and 10-year OS of PPSC was 0.498, 0.306, and 0.152, respectively. Patients of old age, widowed marital status, grade high, FIGO IIIB, IIIC, or IV, lymph node metastasis, no lymphadenectomy, no surgery, and no chemotherapy got higher score which corresponds with higher risk and lower OS. In the multivariate Cox regression analysis, age, histological grade, FIGO staging, lymph node metastasis, and lymphadenectomy (four or more) were identified as independent prognostic factors for PPSC.ConclusionsPPSC patients have distinct characteristics with respect to their presentation and survival outcomes. A prognostic nomogram constructed by various clinical indicators can provide better and more accurate predictions for patients with PPSC.
| S-EPMC8417239 | biostudies-literature