Nomogram for Predicting Survival in Locally Advanced Cervical Cancer with Concurrent Chemoradiotherapy plus or Not Adjuvant Chemotherapy: A Retrospective Analysis Based on 2018 FIGO Staging.

Background: The comprehensive treatment mode of combining concurrent chemoradiotherapy (CCRT) with adjuvant chemotherapy (AC) is a commonly used mainstream model in the clinical practice of locally advanced cervical cancer (LACC). However, the necessity for AC after CCRT lacks sufficient evidence-based medical support. This study constructs a predictive model for the survival time dependence of CCRT ± AC for LACC based on the 2018 International Federation of Gynecology and Obstetrics (FIGO) staging with internal validation, the prognosis was assessed with intensity-modulated radiotherapy (IMRT) and concurrent cisplatin, and provides guidance for future stratified treatment. Materials and Methods: The retrospective analysis included 482 patients with LACC who CCRT from January 2016 to January 2023. Patients who used the 2009 FIGO staging were all standardized for the 2018 FIGO staging. The 482 patients with LACC were divided into a training set (n = 290) and a validation set (n = 192) at a ratio of 6:4. COX multivariate regression model and LASSO regression were used to screen for independent prognostic factors affecting progression-free survival (PFS) and overall survival (OS), and a nomogram clinical prediction model was constructed based on these factors. Evaluate the effectiveness of the model through the receiver operating characteristic curve, calibration curve, decision curve, risk heat map, and survival curves for risk stratification. Results: The PFS and OS independent prognostic risk factors affecting the 2018 FIGO staging of LACC during CCRT were validated to be similar to the 2009 FIGO staging prediction model reported in previous literature. In the training cohort, area under the curve (AUC) values at 1, 3, and 5 years were 0.941, 0.882, and 0.885 for PFS, and 0.946, 0.946, and 0.969 for OS, respectively. When applied to a test cohort, the model also showed accurate prediction result (AUC at 1, 3, and 5 years were 0.869, 0.891, and 0.899 for PFS, and 0.891, 0.941 and 0.878 for OS, respectively). Subgroup analysis suggests that patients with LACC, adenocarcinoma, stage IVA, pelvic lymph node metastasis, pretreatment hemoglobin ≤100 g/l and residual tumor diameter >2 cm, who received CCRT in the 2018 FIGO stage, may benefit more from adjuvant chemtherapy. Conclusions: Based on the 2018 FIGO staging, a nomogram prediction model for PFS and OS in patients with LACC undergoing CCRT was developed. The model, established by combining weighted clinical and pathological factors, can provide more personalized treatment predictions in clinical practice. For patients with high-risk factors such as residual tumor diameter > 2 cm after CCRT for LACC, AC may bring benefits.

Endometrial carcinoma: 10 years of TCGA (the cancer genome atlas): A critical reappraisal with comments on FIGO 2023 staging.

The Cancer Genome Atlas (TCGA) Research Network described 4 molecular subgroups of endometrial carcinomas with different outcome: 1) POLE ultramutated endometrioid carcinomas which have an indolent behavior; 2) microsatellite instability hypermutated endometrioid carcinomas associated with intermediate prognosis; 3) copy-number low endometrioid carcinomas also with intermediate prognosis; and 4) copy-number high predominantly serous (non-endometrioid) but also serous-like endometrioid carcinomas, almost always carrying TP53 mutations, with poor clinical outcome. After 10 years of comprehensive analysis, it appears that the only real contribution of TCGA to the clinical management of these patients would be limited to the infrequent high-grade, early-stage endometrioid carcinomas with POLE exonuclease domain mutations, as these patients could benefit from a de-escalating treatment; knowledge about the other three subgroups has not changed significantly. The copy-number low (or non-specific genetic profile) which is the most frequent subgroup, is a mixture subgroup where investigators are currently trying to establish prognostic markers; for example, unexpected variations in a relatively small percentage of cases (i.e., CTNNB1 mutated or p53 aberrant low-grade and low-stage endometrioid carcinomas associated with unfavorable prognosis). On the other hand, TCGA has underlined that a small number of grade 3 endometrioid carcinomas, all TP53 mutated, overlap with copy-number high serous carcinomas. Recently, TCGA molecular subgroups have been integrated into the 2023 International Federation of Gynecology and Obstetrics (FIGO) staging classification which incorporates other non-anatomic parameters like histotype, tumor grade, and lymphovascular space invasion. The result is a complicated and non-intuitive classification that makes its clinical application difficult and does not facilitate correspondence with the 2009 FIGO staging.

Validation of the 2018 FIGO staging system for stage IIIC cervical cancer by determining the metabolic and radiomic heterogeneity of primary tumors based on 18F-FDG PET/CT.

PURPOSE: This study aimed to validate the 2018 FIGO staging system of cervical cancer (CC) by determining the metabolic and radiomic heterogeneity of primary tumors between stage IIIC1 and IIIC2. METHODS: 168 patients with squamous cell CC underwent pre-treatment fluorine-18 fluorodeoxyglucose positron emission computed tomography (18F-FDG PET/CT) and were randomly allocated to training and testing cohorts with a 7:3 ratio. Radiomics features were extracted from the primary tumors based on CT and PET data. Ten metabolic parameters of the primary tumors were also assessed. After feature selection, three logistic regression radiomics models, involving (1) 2 CT features, (2) 3 PET features, and (3) 2 CT features + 3 PET features, respectively, and one random forest model were established. Finally, area under the curve (AUC) values and calibration curves were used to evaluate the 4 models. RESULTS: The IIIC1 and IIIC2 groups did not differ significantly in age, weight, height, or the 10 major metabolic parameters (P > 0.05). The AUCs of the 4 models were 0.577, 0.639, 0.763, and 0.506, respectively, in the training cohort, and 0.789, 0.699, 0.761, and 0.538, respectively, in the testing cohort. The model fit of the logistic regression model based on CT + PET data was good in both the training and testing cohorts. CONCLUSION: Our study offers additional diagnostic options for PALN metastasis, which could impact treatment decisions. Our results indirectly support the conclusions of previous studies recommending that primary tumors should be considered during IIIC staging.

Correlation between plasma PSGL-1 and FIGO stage, tumor metastasis, and survival in epithelial ovarian cancer.

Plasma circulating P-selectin glycoprotein ligand-1 (PSGL-1) levels and its clinical correlation in patients with epithelial ovarian cancer (EOC) are unknown. The study determined plasma PSGL-1 levels in EOC patients and investigated its relationship with clinicopathological factors and prognosis. Plasma PSGL-1 levels were measured using ELISA in 69 patients with EOC, 34 patients with benign ovarian cystadenoma, and 36 healthy controls. Subsequently, the relationship between PSGL-1 levels and clinicopathological characteristics of patients, as well as the prognosis of EOC patients, was examined. Additionally, the specificity and sensitivity of plasma PSGL-1 were assessed through ROC curve analysis. Plasma PSGL-1 was upregulated in EOC patients compared with healthy subjects and/or patients with benign ovarian cystadenoma (p < 0.01). Elevated levels of PSGL-1 in the plasma were positively associated with advanced FIGO stage (p < 0.001), tumor size (p = 0.001), tumor metastasis (p = 0.036), and tumor recurrence (p = 0.013), while was negatively correlated with residual tumor size (p < 0.001). Kaplan-Meier survival analysis showed that high plasma PSGL-1 levels were associated with progression-free survival (p = 0.0345). In univariate and multivariate Cox regression analyses, PSGL-1 (HR = 1.456, p = 0.009) was an independent prognostic marker. Plasma PSGL-1 levels distinguished EOC patients and healthy individuals (AUC = 0.905), patients at late and early FIGO stages (AUC = 0.886), and metastatic and non-metastatic EOC (AUC = 0.722). The expression of plasma PSGL-1 is significantly increased in patients with EOC, serving as a reliable biomarker to differentiate between healthy individuals and those with EOC. Furthermore, PSGL-1 in patients is correlated with prognostic indicators, such as advanced FIGO stage, tumor lymph node metastasis, and progression-free survival.

Utility of CT Scan in Detecting Bladder Involvement Among Patients With Cervical Carcinoma.

Background Cervical cancer is a widespread health issue in India, particularly affecting women as the second most common cancer. The burden of cervical cancer in the country necessitates accurate staging for treatment optimization. The revised International Federation of Gynecology and Obstetrics (FIGO) staging system is vital for this purpose, emphasizing the extent of parametrial and pelvic sidewall involvement. Cervical cancer's propensity to infiltrate neighboring pelvic organs, including the bladder, necessitates precise staging. In India, traditional methods like cystoscopy have been relied upon, but they have limitations. Recent advancements in medical imaging, notably the increased use of computed tomography (CT) scans, provide a non-invasive alternative for staging and evaluating bladder involvement. This study aimed to evaluate the utility and accuracy of CT scans in assessing bladder involvement. Methods This cross-sectional study examined 127 newly diagnosed cervical carcinoma cases in women over a two-year period from August 2021 to July 2023. Patients underwent CT scans (plain) and cystoscopy, and bladder involvement was determined following the revised FIGO staging. Data collected comprised patient demographics, medical history, clinical symptoms, and FIGO staging. Cystoscopy was performed using an Olympus CYF-5 flexible cystoscope, and CT scans utilized a 64-slice multidetector CT scanner. Radiological reports detailed primary tumor characteristics and proximity to the bladder. Statistical analysis encompassed descriptive statistics, and calculation of sensitivity, specificity, positive predictive value, and negative predictive value for CT scans in comparison to cystoscopy. Statistical significance was considered at p < 0.05. Results In our study, the mean participant age was 45.3 years, with 61.4% falling in the 40-60 years age group. Socioeconomic status (SES) varied, with 37.8% classified as low SES, 48.8% as middle SES, and 13.4% as high SES. Parity data showed that 76.4% had three or more pregnancies. Among presenting symptoms, abnormal vaginal bleeding (65.4%) was the most prevalent, and squamous cell carcinoma (78.7%) was the predominant histological type. The prevalence of bladder involvement was 9.4% by cystoscopy and 30.7% by CT scans. CT scan demonstrated a high sensitivity (100%) but lower specificity (76.52%), with 78.80% overall accuracy. Conclusion A combined approach, using CT scans as a screening tool and cystoscopy as a confirmatory method, could provide the most comprehensive and reliable assessment of bladder involvement in cervical carcinoma patients, ultimately contributing to improved patient care and management.

Number of Positive Lymph Nodes and Survival in Endometrial Carcinoma: A Proposal for a Modified Staging.

Purpose: To construct a new clinical staging system including the number of lymph node metastases to supplement the International Federation of Gynecology and Obstetrics (FIGO) staging for the prognosis of endometrial carcinoma patients. Methods: This cohort study retrieved the data of 28,824 patients confirmed as endometrial carcinoma between 2010 and 2015 in the surveillance, epidemiology, and end results (SEER) database. COX risk proportional model was established to evaluate the association between FIGO staging with the all-cause mortality of endometrial carcinoma. The diagnostic value of FIGO staging and the new staging for the mortality of patients were evaluated by receiver operator characteristic curve (ROC). Hazard ratio (HR) and 95% confidence interval (CI) were effect size. Results: The 5-year survival rate of all participants was 77.21%. The median follow-up time was 60.00 (60.00,60.00) months. Patients at FIGO staging IB (HR=1.75, 95% CI: 1.62-1.90), FIGO staging II (HR=2.22, 95% CI: 2.00-2.47), FIGO staging IIIA (HR=2.74, 95% CI: 2.43-3.09), FIGO staging IIIB (HR=4.07, 95% CI: 3.48-4.76), FIGO staging IIIC1 (HR=3.84, 95% CI: 3.52-4.20), FIGO staging IIIC2 (HR=4.52, 95% CI: 4.09-4.99), FIGO staging IVA (HR=5.56, 95% CI: 4.58-6.74), and FIGO staging IVB (HR=7.62, 95% CI: 6.94-8.36) were associated with increased risk of all-cause mortality of endometrial carcinoma patients. After adding positive lymph nodes as another covariate in Model 3, the effect on of FIGO staging survival was reduced when the FIGO staging was higher than stage III/IV. The C-index of the new staging 0.781 (95% CI: 0.774-0.787) was higher than FIGO staging 0.776 (95% CI: 0.770-0.783). Conclusion: Our new staging using the number of positive lymph nodes supplement to the FIGO staging was superior than the FIGO staging for predicting the prognosis of endometrial cancer patients, which might help more accurately identify endometrial carcinoma patients who were at high risk of mortality and offer timely treatments in these patients.

Significance of tumor size and number of positive nodes in patients with FIGO 2018 stage IIIC1 cervical cancer.

OBJECTIVE: This study aimed to investigate the prognostic significance of tumor size and number of positive pelvic lymph nodes (PLN) in International Federation of Gynecology and Obstetrics (FIGO) 2018 stage IIIC1 cervical cancer patients. METHODS: Clinical data from 626 women with cervical cancer treated at Osaka International Cancer Center in 2010-2020 were retrospectively reviewed. Using the cutoff value obtained on the receiver operating characteristic analysis, the prognostic significance of tumor size and number of positive PLN in stage IIIC1 patients was first evaluated via uni- and multivariate analyses. Then, the impact of incorporating tumor size and number of positive PLN into the FIGO staging system was investigated using the Kaplan-Meier method. RESULTS: Among 196 women with Stage IIIC1 disease, larger tumors (>4 cm) and multiple PLN metastases (≥4) were independent predictors of progression-free survival (PFS) in patients with stage IIIC1 cervical cancer. The PFS of patients with stage IIIC1 disease was inversely associated with the number of risk factors. Although patients with stage IIIC1 disease had significantly increased survival rates compared to those with stage IIIA or IIIB disease in the original FIGO 2018 staging system, this reversal phenomenon was resolved by incorporating larger tumors (>4 cm) and multiple PLN metastases (≥4) into the revised staging system. CONCLUSIONS: Incorporating tumor size and number of metastatic lymph nodes into the FIGO staging system allows additional risk stratification for women with stage IIIC1 cervical cancer and improves survival prediction performance.

The Impact of Patient Characteristics, Risk Factors, and Surgical Intervention on Survival in a Cohort of Patients Undergoing Neoadjuvant Treatment for Cervical Cancer.

Introduction: Cervical cancer is among the most frequent types of neoplasia worldwide and remains the fourth leading cause of cancer death in women, a fact that raises the necessity for further development of therapeutic strategies. NCCN guidelines recommend radiation therapy with or without chemotherapy as the gold standard for locally advanced cervical cancer. Also, some studies claim that performing surgery after chemo-radiation therapy does not necessarily improve the therapeutic outcome. This study aims to determine the impact of the risk factors, various characteristics, and surgical treatment for patients in different stages of the disease on survival rate. Material and methods: Our study started as a retrospective, observational, unicentric one, carried out on a cohort of 96 patients diagnosed with cervical cancer from the surgical department of the Bucharest Oncological Institute, followed from 1 January 2019 for a period of 3 years. After the registration of the initial parameters, however, the study became prospective, as the patients were closely monitored through periodical check-ups. The end-point of the study is either the death of the participants or reaching the end of the follow-up period, and, therefore, we divided the cohort into two subgroups: the ones who survived after three years and the ones who did not. All 96 patients, with disease stages ranging from IA2 to IIIB, underwent radio-chemotherapy followed by adjuvant surgery. Results: Among the 96 patients, 45 (46%) presented residual tumor after radio-chemotherapy. Five patients (5%) presented positive resection margins at the post-operative histopathological examination. The presence of residual tumor, the FIGO stage post-radiotherapy, positive resection margins, and lympho-vascular and stromal invasions differed significantly between the subgroups, being more represented in the subgroup that reached the end-point. Variables correlated with the worst survival in Kaplan-Meier were the pelvic lymph node involvement-50% at three years (p-0.015)-and the positive resection margins-only 20% at three years (p < 0.001). The univariate Cox model identified as mortality-associated risk factors the same parameters as above, but also the intraoperative stage III FIGO (p < 0.001; HR 9.412; CI: 2.713 to 32.648) and the presence of post-radiotherapy adenopathy (p-0.031; HR: 3.915; CI: 1.136 to 13.487) identified through imagistic methods. The independent predictors of the overall survival rate identified were the positive resection margins (p-0.002; HR: 6.646; CI 2.0 to 22.084) and the post-radiotherapy stage III FIGO (p-0.003; HR: 13.886; CI: 2.456 to 78.506). Conclusions: The most important predictor factors of survival rate are the positive resection margins and the FIGO stage after radiotherapy. According to the NCCN guidelines in stages considered advanced (beyond stages IB3, IIA2), the standard treatment is neoadjuvant chemoradiotherapy. In our study, with radical surgery after neoadjuvant therapy, 46% of patients presented residual tumor at the intraoperative histopathological examination, a fact that makes the surgical intervention an important step in completing the treatment of these patients. In addition, based on the patient's features/comorbidities and the clinical response to chemotherapy/radiotherapy, surgeons could carefully tailor the extent of radical surgery, thus resulting in a personalized surgical approach for each patient. However, a potential limitation can be represented by the relatively small number of patients (96) and the unicentric nature of our study.

Survival outcomes of 2018 FIGO stage IIIC versus stages IIIA and IIIB in cervical cancer: A systematic review with meta-analysis.

OBJECTIVE: To assess the difference in survival outcomes between stage IIIC and stages IIIA and IIIB in the 2018 FIGO cervical cancer staging system. METHODS: The PubMed, EMBASE, MEDLINE and Web of Science were searched for articles published from November 1, 2018 to January 31, 2023. Articles published in English were considered. The included studies compared the survival outcomes of patients with cervical cancer in FIGO 2018 stage IIIC with those in stages IIIA and IIIB. Studies focused on rare histopathological types were excluded. The statistical analyses were performed using Stata 17 software. The endpoints were overall survival (OS) and progression-free survival (PFS). RESULTS: Ten retrospective cohort studies were eligible, involving 2113 (6.2%), 9812 (28.6%), 44 (0.1%), 10 171 (29.7%), 11 677 (34.1%) and 445 (1.3%) patients in stage IIIA, IIIB, IIIA&B, IIIC, IIIC1, and IIIC2, respectively. In the OS group, stage IIIC/C1 was significantly associated with superior survival compared with stage IIIA (hazard risk [HR] 0.62, 95% confidence interval [CI] 0.41-0.93, P = 0.022; I2 = 92.9%) and stage IIIB(A&B) (HR 0.56, 95% CI 0.44-0.71, P < 0.001; I2 = 94.0%). The FIGO 2018 stage IIIC2 was not associated with an increased mortality risk compared with stage IIIA and stage IIIB(A&B). In the PFS group, the outcome of FIGO 2018 stage IIIC/C1 was similar to stage IIIA (HR 0.66, 95% CI 0.27-1.64, P = 0.371; I2 = 65.6%), but better than stage IIIB(A&B) (HR 0.75, 95% CI 0.68-0.83, P < 0.001; I2 = 0.0%). The FIGO 2018 stage IIIC2 has similar PFS outcomes to stage IIIA and stage IIIB(A&B). CONCLUSION: Our findings demonstrate that survival outcomes of stage IIIC are no worse than those of stage IIIA and stage IIIB in the 2018 FIGO cervical cancer staging system. In cervical cancer, FIGO 2018 stage IIIC1 has significantly better OS outcomes than stage IIIA and stage IIIB.

MRI-based radiomics features for the non-invasive prediction of FIGO stage in cervical carcinoma: A multi-center study.

PURPOSE: To develop and validate a model based on MRI radiomics modals for predicting surgical high FIGO(IB3 and ≥ IIA2) and low FIGO(IB1, IB2, and IIA1) stages in patients with cervical carcinoma (CC) . METHODS: A total of 296 early-stage patients with CC (preoperative FIGO stages IB-IIA) confirmed by surgery and pathology were included in this retrospective study from two institutions For each patient,we extracted radiomics features from spectral attenuated inversion-recovery T2-weighted (SPAIR-T2W) and contrast-enhanced T1-weighted (CE-T1W) images.Manual segmentation was performed using the 3D Slicer software, while radiomics features were extracted, screened using the R software. A 2-stage feature extraction strategy involving univariate analysis and the Least Absolute Shrinkage Selection Operator technique was performed. A support vector machine-based model was eventually constructed. Predictive accuracy of the training and validation datasets was assessed in terms of area under the ROC curve (AUC). RESULTS: A total of 1130 features were extracted from SPAIR-T2WI and CET1WI images respectively, in which 8 and 7 features significantly were associated with FIGO staging. AUCs of the SPAIR-T2W and CE-T1W models were were 0.803 and 0.790, respectively, in the internal validation group. In the external validation group, the AUCs were 0.767 and 0.749, respectively, which increased to 0.771 in the combined model. CONCLUSION: Our study demonstrated the feasibility of radiomics features from SPAIR-T2W and CE-T1W images for the prediction of surgical FIGO stage in CC. Our proposed model thereby carries the potential as a non-invasive tool for the staging and treatment planning of this disease. ADVANCES IN KNOWLEDGE: A radiomics model provide a non-invasive and objective method for the detection of FIGO staging in patients with cervical cancer before surgery, thus providing a reference for the selection of treatment options for patients.

An Update on the Role of MRI in Treatment Stratification of Patients with Cervical Cancer.

Cervical cancer is the fourth most common cancer in women worldwide and the most common gynaecological malignancy. The FIGO staging system is the most commonly utilised classification system for cervical cancer worldwide. Prior to the most recent update in the FIGO staging in 2018, the staging was dependent upon clinical assessment alone. Concordance between the surgical and clinical FIGO staging decreases rapidly as the tumour becomes more advanced. MRI now plays a central role in patients diagnosed with cervical cancer and enables accurate staging, which is essential to determining the most appropriate treatment. MRI is the best imaging option for the assessment of tumour size, location, and parametrial and sidewall invasion. Notably, the presence of parametrial invasion precludes surgical options, and the patient will be triaged to chemoradiotherapy. As imaging is intrinsic to the new 2018 FIGO staging system, nodal metastases have been included within the classification as stage IIIC disease. The presence of lymph node metastases within the pelvis or abdomen is associated with a poorer prognosis, which previously could not be included in the staging classification as these could not be reliably detected on clinical examination. MRI findings corresponding to the 2018 revised FIGO staging of cervical cancers and their impact on treatment selection will be described.

Verification of the prognostic precision of the new 2023 FIGO staging system in endometrial cancer patients - An international pooled analysis of three ESGO accredited centres.

BACKGROUND: Recently, the new 2023 International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer (EC) critically integrating new pathological and molecular features was published. The present study evaluated the clinical impact of the new 2023 FIGO staging system by comparing it to the previous 2009 system. METHODS: This is an international, pooled retrospective study of 519 EC patients who underwent primary treatment (and molecular characterisation) at three European Society of Gynaecological Oncology (ESGO) accredited centres in Austria/Italy. Patients were categorised according to the 2009 and the 2023 FIGO staging systems. Stage shifts were analysed and (sub)stage specific 5-year progression-free (PFS) and overall survival (OS) rates were calculated and compared. Different statistical tests were applied to evaluate the prognostic precision of the two FIGO staging systems and to compare them to each other. RESULTS: (Sub)stage shifts occurred in 143/519 (27.6%) patients: 123 upshifts (23.7%) and 20 (3.9%) downshifts. 2023 FIGO staging system identified a stage I cohort with a notably higher 5-year PFS rate compared to 2009 (93.0% versus 87.4%, respectively). For stage II disease, the 5-year PFS rate was similar in the 2023 and the 2009 FIGO staging systems (70.2% versus 71.2%, respectively). The two new molecularly defined 2023 FIGO substages IAmPOLEmut and IICmp53abn displayed distinct, particularly favourable and adverse oncologic outcomes within early stage disease, respectively. A remarkably lower 5-year PFS rate for stage III patients was revealed in the 2023 FIGO staging system compared to 2009 (44.4% versus 54.1%, respectively). All applied statistical tests confirmed a more accurate prediction of PFS and OS by the 2023 FIGO staging system compared to 2009. CONCLUSION: The new 2023 FIGO stating system led to a substantial stage shift in about one quarter of patients leading to a higher prognostic precision. In early stage disease, the new substages added further prognostic granularity and identified treatment relevant subgroups.

Molecular Classification of Endometrial Cancer and the 2023 FIGO Staging: Exploring the Challenges and Opportunities for Pathologists.

This commentary explores the complexities of the FIGO 2023 staging system and the inclusion of The Cancer Genome Atlas's (TCGA) molecular classification in the management of endometrial cancer. It highlights the importance of histology as a prognostic tool, while scrutinizing the merits and demerits of its application to aggressive endometrial cancers. The commentary review sheds light on the recent introductions of lymphovascular space invasion (LVSI) and lymph node metastasis size in cancer staging. It outlines the difficulties in differentiating between synchronous and metastatic endometrial and ovarian cancers, underlining their implications on treatment strategies. Furthermore, the commentary discusses the integration of molecular classifications within the FIGO 2023 framework, emphasizing the pivotal yet challenging implementation of the pathogenic POLE mutation test. The commentary concludes by reaffirming the vital role of pathologists in executing the FIGO 2023 staging system.

Rationality of FIGO 2018 IIIC restaging of cervical cancer according to local tumor size: A cohort study.

INTRODUCTION: FIGO 2018 IIIC remains controversial for the heterogeneity of its prognoses. To ensure a better management of cervical cancer patients in Stage IIIC, a revision of the FIGO IIIC version classification is required according to local tumor size. MATERIAL AND METHODS: We retrospectively enrolled cervical cancer patients of FIGO 2018 Stages I-IIIC who had undergone radical surgery or chemoradiotherapy. Based on the tumor factors from the Tumor Node Metastasis staging system, IIIC cases were divided into IIIC-T1, IIIC-T2a, IIIC-T2b, and IIIC-(T3a+T3b). Oncologcial outcomes of all stages were compared. RESULTS: A total of 63 926 cervical cancer cases were identified, among which 9452 fulfilled the inclusion criteria and were included in this study. Kaplan-Meier pairwise analysis showed that: the oncology outcomes of I and IIA were significantly better than of IIB, IIIA+IIIB, and IIIC; the oncology outcome of IIIC-(T1-T2b) was significantly better than of IIIA+IIIB and IIIC-(T3a+T3b); no significant difference was noted between IIB and IIIC-(T1-T2b), or IIIC-(T3a+T3b) and IIIA+IIIB. Multivariate analysis indicated that, compared with IIIC-T1, Stages T2a, T2b, IIIA+IIIB and IIIC-(T3a+T3b) were associated with a higher risk of death and recurrence/death. There was no significant difference in the risk of death or recurrence/death between patients with IIIC-(T1-T2b) and IIB. Also, compared with IIB, IIIC-(T3a+T3b) was associated with a higher risk of death and recurrence/death. No significant differences in the risk of death and recurrence/death were noted between IIIC-(T3a+T3b) and IIIA+IIIB. CONCLUSIONS: In terms of oncology outcomes of the study, FIGO 2018 Stage IIIC of cervical cancer is unreasonable. Stages IIIC-T1, T2a, and T2b may be integrated as IIC, and it might be unnecessary for T3a/T3b cases to be subdivided by lymph node status.

Clinical Outcomes of Uterine Body Cancers Treated in a Tertiary Cancer Center.

K. MuthulingeshkumarObjectives This article reports the clinical outcomes of uterine body cancers in South Indian population. The primary outcome of our study was overall survival (OS). The secondary outcomes were disease-free survival (DFS), patterns of recurrence, toxicities of radiation treatment, and the association of patient, disease, and treatment characteristics with survival and recurrence. Materials and Methods Records of the patients diagnosed as malignancy in uterus and treated with surgery alone or with adjuvant treatment from January 2013 to December 2017 were retrieved after Institute Ethics Committee approval. Demographic, surgical, histopathology, and adjuvant treatment details were retrieved. Patients of endometrial adenocarcinoma were stratified according to the European Society of Medical Oncology/European Society of Gynaecological Oncology/European Society for Radiotherapy and Oncology consensus for analysis and overall outcomes irrespective of histology were also analyzed. Statistical Analysis For the survival analysis, Kaplan-Meier survival estimator was used. Cox regression was used to test the significance of association of factors with outcomes in terms of hazard ratio (HR). Results A total of 178 patient records were retrieved. The median follow-up of all patients was 30 months (0.5-81 months). The median age of the population was 55 years. Most common histology was endometrioid type of adenocarcinoma (89%), sarcomas comprised only 4%. The mean OS of all patients was 68 months ( n = 178), median was not reached. Five-year OS was 79 %. Five-year OS rates observed in low, intermediate, high-intermediate, and high-risk were 91, 88, 75, and 81.5%, respectively. The mean DFS was 65 months, median not reached. The 5-year DFS was 76%. The 5-year DFS rates observed were 82, 95, 80, and 81.5% for low, intermediate, high-intermediate, and high-risk, respectively. Univariate analysis using Cox regression showed increase in hazard for death in case of node positivity, HR 3.96 ( p 0.033). The HR for disease recurrence was 0.35 ( p = 0.042) in patients who had received adjuvant radiation therapy. No other factors had any significant impact on death or disease recurrence. Conclusion The survival outcomes in terms of DFS and OS were comparable with other Indian and Western data reported in the published literature.

Prognostic significance of FIGO 2018 staging of loco-regionally advanced cervical cancer (LRACC) with the use of MRI and PET and implications for treatment selection.

INTRODUCTION: The FIGO 2018 staging of cervix cancer recognizes a total of 11 categories of loco-regionally advanced cervix cancer (LRACC). Whilst incorporating imaging is an improvement over clinical staging (FIGO 2009), this had led to more categories of disease which are not prognostically discrete groups. We aimed to analyze survival according to 2018 FIGO stages of cervix cancer and identify isoprognostic groups of patients based on primary tumor volume and nodal status. METHODS: Patients referred for radiotherapy with curative intent between 1996 and 2014 were eligible. Baseline clinico-pathological and follow up information was retrieved from an ethics-approved institutional prospective database. Patients were classified according to FIGO 2018 staging based on histo-pathology, MRI (tumor volume and local compartmental spread assessment) and PET results (nodal spread). Kaplan-Meier method was used to estimate survival at five years. Following survival analysis using recognized prognostic factors, isoprognostic categories were identified and merged to form 5 isoprognostic groups. RESULTS: Seven hundred and forty-four LRACC patients were included. The median (IQR) follow-up was 5.1 (2.6-8.4) yrs. Stage migration occurred in most patients, showing heterogeneous 5 years survival according to 2018 FIGO stages. In contrast progressively worsening prognosis could be demonstrated in the 5 observed isoprognostic clusters (p < 0.002). CONCLUSION/IMPLICATIONS: Prognosis in LRACC depends on the interplay between primary tumor characteristics, type of local spread and nodal disease. A prospective study of survival and patterns of failure according to isoprognostic clusters would be useful to determine the most appropriate treatment modality and estimate survival as well as better patient selection for clinical trials.

Invisible cervical cancers on MRI: Can the type of histology (SCC versus non-SCC) influence surgical planning?

Background: Invisible cervical cancers on MRI can indicate less invasive surgery. Cervical cancers consist of squamous cell carcinoma (SCC) and non-SCC, each with different long-term outcomes. It is still unclear if surgical planning should be changed according to the histologic type of cervical cancer when it is not visible on MRI. Purpose: The purpose of the study was to determine if surgical planning for cervical cancer that is not visible on MRI is influenced by the histologic type. Materials and methods: Between January 2007 and December 2016, 155 women had Federation of Gynecology and Obstetrics (FIGO) stage 1B1 cervical cancer that was not visible on preoperative MRI. They underwent radical hysterectomies and pelvic lymph node dissections. Among them, 88 and 67 were histologically diagnosed with SCC and non-SCC, respectively. The size of the residual tumor, depth of stromal invasion, parametrial invasion, vaginal invasion, lymphovascular invasion, and lymph node metastasis were compared between these patients using the t-test, Mann-Whitney U test, Chi-squared test, or Fisher's exact test. The recurrence-free and overall 10-year survival rates were compared between the groups by Kaplan-Meier analysis. Results: The mean sizes of residual tumors were 8.4 ± 10.4 mm in the SCC group and 12.5 ± 11.9 mm in the non-SCC group (p = 0.024). The mean depth of stromal invasion in the SCC group was 12.4 ± 21.2% (0%-100%), whereas that in the non-SCC group was 22.4 ± 24.4 (0%-93%) (p = 0.016). However, there was no difference in parametrial or vaginal invasion, lymphovascular invasion, or lymph node metastasis (p = 0.504-1.000). The recurrence-free and overall 10-year survival rates were 98.9% (87/88) and 95.5% (64/67) (p = 0.246), and 96.6% (85/88) and 95.5% (64/67) (p = 0.872), respectively. Conclusions: The non-SCC group tends to have larger residual tumors and a greater depth of stromal invasion than the SCC group, even though neither is visible on MRI. Therefore, meticulous care is necessary for performing parametrectomy in patients with non-SCC cervical cancer.

Long-term follow-up on HIV infected and non-infected women with cervical cancer from Tanzania: staging, access to cancer-directed therapies and associated survival in a real-life remote setting.

BACKGROUND: Worldwide 85% of cervical cancer (CC) related deaths occur in low- and middle-income countries. Sub-Saharan Africa is burdend by an overlapping high incidence of CC as well as HIV infection, a risk factor for HPV associated disease progression. Recent upscaling of CC screening activities increased the number of CC diagnoses in a previous unscreened population. The aim of the 2H study was to follow up on women with CC in the context of available health care services in Tanzania in relation to their HIV infection status. METHODS: This longitudinal observational cohort study included women with histological confirmed CC from Mbeya, Tanzania, between 2013-2019. All women were referred for CC staging and cancer-directed therapies (CDT), including surgery and/or radio-chemotherapy, or palliative care. Annual follow-up focused on successful linkage to CDT, interventions and survival. We assessed factors on compliance, used Kaplan-Meier-Survivor functions to evaluate survival time and poisson regression models to calculate incidence rate ratios on mortality (IRR) two years after diagnosis. RESULTS: Overall, 270 women with CC (123 HIV infected) were included. Staging information, available in 185 cases, showed 84.9% presented with advanced stage disease (FIGO ≥ IIB), no difference was seen in respect to HIV status. HIV-infected women were 12 years younger at the time of cancer diagnosis (median age 44.8 versus 56.4 years, p < 0.001). Median follow up period was 11.9 months (range 0.2-67.2). Survival information, available in 231 cases, demonstrated for women diagnosed in early-stage disease a median survival time of 38.3 months, in advanced-stage 16.0 months and late-stage disease 6.5 months after diagnosis. Of all women, 42% received CDT or palliative support. HIV co-infection and education were associated with higher health care compliance. CDT was significantly associated with lower 2-year mortality rates (IRR 0.62, p = 0.004). HIV coinfection did not impact mortality rates after diagnosis. CONCLUSION: High numbers of advanced and late staged CC were diagnosed, compliance to CDT was low. A beneficial impact of CDT on CC mortality could be demonstrated for local health care services. This study indicates challenges for successful linkage and supports an effective scale up of cancer care and treatment facilities.

Does the New FIGO 2018 Staging System Allow Better Prognostic Differentiation in Early Stage Cervical Cancer? A Dutch Nationwide Cohort Study.

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.

Vulvar Cancer: 2021 Revised FIGO Staging System and the Role of Imaging.

Vulvar cancer is a rare gynecological malignancy. It constitutes 5-8% of all gynecologic neoplasms, and squamous cell carcinoma is the most common variant. This article aims to review the etiopathogenesis revised 2021 International Federation of Gynecology and Obstetrics (FIGO) classification and emphasize imaging in the staging of vulvar cancer. The staging has been regulated by FIGO since 1969 and is subjected to multiple revisions. Previous 2009 FIGO classification is limited by the prognostic capability, which prompted the 2021 revisions and issue of a new FIGO classification. Although vulvar cancer can be visualized clinically, imaging plays a crucial role in the staging of the tumor, assessing the tumor extent, and planning the management. In addition, sentinel lymph node biopsy facilitates the histopathological staging of the draining lymph node, thus enabling early detection of tumor metastases and better survival rates.