Magnetic resonance imaging-based validation of the 2018 FIGO staging system in patients treated with definitive radiotherapy for locally advanced cervix cancer

Re-evaluating prognostic factors for cervical cancer with lymph node metastasis: a Japanese multicenter cohort study based on FIGO 2018

BACKGROUND

In 2018, the International Federation of Gynecology and Obstetrics (FIGO) revised its cervical cancer staging system to enhance clinical relevance, notably by categorizing lymph node metastases (LNM) as an independent stage IIIC. This multicenter study evaluates the prognostic implications of the FIGO 2018 classification within a Japanese cohort.

METHODS

This study included 1468 patients with cervical cancer. Initial FIGO 2009 stages were restaged under FIGO 2018. Stage IIIC was further compared based on the location of LNM (pelvic or para-aortic, i.e., IIIC1 and IIIC2, respectively), local tumor stage, and histology.

RESULTS

A total of 345 cases (27.4%) were upstaged to stage IIIC, which exhibited a poorer prognosis compared to stage II (HR, 2.12; 95% CI 1.29 - 3.48; p = 0.004) and better than stage IIIAB (HR, 0.46; 95% CI 0.27 - 0.78; p = 0.004). Notably, stage IIIC2 showed a significantly worse prognosis than IIIC1 (HR, 2.32; 95% CI 1.37 - 3.93; p = 0.003). Subdivisions of stage IIIC1 (T1, T2, and T3AB) displayed significantly varied prognoses, with the prognosis for IIIC1-T3AB similar to that of stage IIIAB. In contrast, all subdivisions of IIIC2 showed uniformly poor outcomes. Multivariate analysis of stage IIIC patients revealed that para-aortic LNM, adenocarcinoma and adenosquamous carcinoma histology, and local T3AB tumor remained significant.

CONCLUSIONS

The classification of para-aortic LNM as stage IIIC2 has proven to be of critical relevance in the Japanese cohort. However, the prognostic impact of stage IIIC1 remains influenced by local tumor factors and histological subtypes.

Exploring the role of disulfidptosis-related signatures in immune microenvironment, prognosis and therapeutic strategies of cervical cancer

BACKGROUND

Cervical cancer is characterized by a complex immunosuppressive tumor microenvironment (TME). Disulfidptosis is a recently identified form of programmed cell death that has emerged as a crucial factor in tumorigenesis. However, the research on the specific involvement of disulfidptosis within the TME is still in its early stages.

METHODS

Under glucose starvation, SiHa and HeLa cells underwent experiments employing diverse cell death inhibitors and SLC7A11 knockdown to observe their impact on cell survival. TCGA-CESC cohort was subjected to consensus clustering for disulfidptosis-related clusters. Prognosis, function, immune infiltration, and differentially expressed genes (DEGs) evaluations among clusters were compared. A prognostic model based on DEGs and disulfidptosis regulator genes (DRGs) was constructed and internally and externally validated. The correlation between YWHAG and clinicopathological characteristics in cervical cancer patients was investigated at both the mRNA and protein levels. Proliferation and migration assays were performed to uncover the roles of YWHAG in cervical cancer.

RESULTS

Experimental validation confirmed disulfidptosis in cervical cancer cell lines. Cervical cancer patients were classified into three clusters based on DRGs, showing notably improved prognosis and increased immune infiltration in cluster B. The developed disulfidptosis-related prognostic model effectively stratified patients into high- and low-risk groups. Low-risk patients exhibited more favorable responses to immunotherapy and improved overall prognosis. Additionally, YWHAG, recognized as a tumor-promoting gene, demonstrated active roles in enhancing the growth, migration, and invasion of cervical cancer cells.

CONCLUSION

Our research proposed a prognostic model for cervical cancer, probably contributing to tumor microenvironment traits and more potent immunotherapy strategy exploration.

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.

The prognostic value of radiological and pathological lymph node status in patients with cervical cancer who underwent neoadjuvant chemotherapy and followed hysterectomy

To investigate the prognostic value of lymph node status in patients with cervical cancer (CC) patients who underwent neoadjuvant chemotherapy (NACT) and followed hysterectomy. Patients in two referral centers were retrospectively analyzed. The baseline tumor size and radiological lymph node status (LNr) were evaluated on pre-NACT MRI. Tumor histology, differentiation and pathological lymph node status (LNp) were obtained from post-operative specimen. The log-rank test was used to compare survival between patient groups. Cox proportional hazards regression models were employed to estimate the hazard ratio (HR) of various factors with progression-free survival (PFS) and overall survival (OS). A total of 266 patients were included. Patients with 2018 FIGO IIIC showed worse PFS compared to those with FIGO IB-IIB (p < 0.001). The response rate in patients with LNp(-) was 64.1% (134/209), significantly higher than that of 45.6% (26/57) in patients with LNp( +) (p = 0.011). Multivariate Cox analysis identified the main independent predictors of PFS as LNp( +) (HR = 3.777; 95% CI 1.715-8.319), non-SCC (HR = 2.956; 95% CI 1.297-6.736), poor differentiation (HR = 2.370; 95% CI 1.130-4.970) and adjuvant radiation (HR = 3.266; 95% CI 1.183-9.019). The interaction between LNr and LNp regarding PFS were significant both for univariate and multivariate (P = 0.000171 and 1.5357e-7 respectively). In patients with LNr( +), a significant difference in PFS was observed between patients with LNp(-) and LNp( +) (p = 0.0027). CC patients with FIGO 2018 stage IIIC who underwent NACT and followed hysterectomy had worse PFS compared to those with IB-IIB. LNp( +), non-SCC, poor differentiation and adjuvant radiation were independent risk factors for PFS. The adverse prognostic value of LNp( +) was more significant in patients with LNr( +).

Clinical Outcomes and Prognostic Factors in Stage III C Cervical Cancer Patients Treated with Radical Radiotherapy or Radiochemotherapy

Objective: Since the update of the 2018 International Federation of Gynecology and Obstetrics (FIGO) staging criteria, there have been few reports on the prognosis of stage III C cervical cancer. Moreover, some studies have drawn controversial conclusions, necessitating further verification. This study aims to evaluate the clinical outcomes and determine the prognostic factors for stage III C cervical cancer patients treated with radical radiotherapy or radiochemotherapy. Methods: The data of 117 stage III C cervical cancer patients (98 III C1 and 19 III C2) who underwent radical radiotherapy or radiochemotherapy were retrospectively analyzed. We evaluated 3-year overall survival (OS) and disease-free survival (DFS) using the Kaplan-Meier method. Prognostic factors were analyzed using the Log-rank test and Cox proportional hazard regression model. The risk of para-aortic lymph node metastasis (LNM) in all patients was assessed through Chi-squared test and logistic regression analysis. Results: For stage III C1 and III C2 patients, the 3-year OS rates were 77.6% and 63.2% (P = .042), and the 3-year DFS rates were 70.4% and 47.4% (P = .003), respectively. The pretreatment location of pelvic LNM, histological type, and FIGO stage was associated with OS (P = .033, .003, .042, respectively); the number of pelvic LNM and FIGO stage were associated with DFS (P = .015, .003, respectively). The histological type was an independent prognostic indicator for OS, and the numbers of pelvic LNM and FIGO stage were independent prognostic indicators for DFS. Furthermore, a pelvic LNM largest short-axis diameter ≥ 1.5 cm and the presence of common iliac LNM were identified as high-risk factors influencing para-aortic LNM in stage III C patients (P = .046, .006, respectively). Conclusions: The results of this study validated the 2018 FIGO staging criteria for stage III C cervical cancer patients undergoing concurrent chemoradiotherapy. These findings may enhance our understanding of the updated staging criteria and contribute to better management of patients in stage III C.

Machine Learning of Dose-Volume Histogram Parameters Predicting Overall Survival in Patients with Cervical Cancer Treated with Definitive Radiotherapy

Purpose

To analyze the effects of dosimetric parameters and clinical characteristics on overall survival (OS) by machine learning algorithms.

Methods and Materials

128 patients with cervical cancer were treated with definitive pelvic radiotherapy with or without chemotherapy followed by image-guided brachytherapy. The elastic-net models with integrating DVH parameters and baseline clinical factors, only DVH parameters and only baseline clinical factors were constructed in 5-folds cross-validations for 100 iteration bootstrapping, and then were compared using concordance index (C-index) criteria. Finally, the selected important factors were used to build multivariable Cox-pH models for OS and also shown in nomograms for clinical usage.

Results

The median OS occurred was 25.78 months with 25 (19.53%) deaths. The elastic-net models integrating clinical and DVH factors had the best prediction performances (C-index 0.76 in the train set and C-index 0.74 in the test set). Three important factors were selected, including baseline hemoglobin level as the protective factor, primary tumor volume (GTV_P) volume, and body V5 as the risk factors. The final multivariable Cox-pH models were constructed using these important factors and had prediction performance (C-index: 0.78, 95%CI: 0.73–0.81).

Conclusions

This is the first attempt to establish elastic-net models to study the contributions of DVH parameters for predicting OS in patients with cervical cancer. These results can facilitate individualized tailoring of radiation treatment in cervical cancer patients.

Nomograms Predicting Survival of Cervical Cancer Patients Treated With Concurrent Chemoradiotherapy Based on the 2018 FIGO Staging System

Background

In 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.

Methods

We 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.

Results

We 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.

Conclusion

We 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.

Clinical Impact of Pathologic Residual Tumor in Locally Advanced Cervical Cancer Patients Managed by Chemoradiotherapy Followed by Radical Surgery: A Large, Multicenter, Retrospective Study

BACKGROUND

Exclusive chemoradiation (E-CT/RT) represents the standard of treatment for locally advanced cervical cancer (LACC). Chemoradiation (CT/RT) followed by radical surgery (RS) may play a role for patients with a suboptimal response to CT/RT or in low-income countries with limited access to radiotherapy. Histologic assessment of residual tumor after CT/RT and RS allows accurate definition of prognostic categories.

METHODS

Data on patients with FIGO stages 1B2 to 4A cervical cancer managed by CT/RT and RS from June 1996 to March 2020 were retrospectively analyzed. Pathologic response on the cervix was defined as complete (pCR), microscopic (persistent tumor foci ≤ 3 mm) (pmicroR), or macroscopic (persistent tumor foci > 3 mm) (pmacroR). Lymph node (LN) residual tumor was classified as absent or present.

RESULTS

The 701 patients in this study underwent CT/RT and RS. Of the 701 patients, 293 (41.8%) had pCR, 188 (26.8%) had pmicroR, and 220 (31.4%) had pMacroR. Residual tumor was found in the pelvic lymph nodes of 66 (9.4%) patients and the aortic lymph nodes of 29 (4.1%) patients. The 5-year DFS and OS were respectively 86.6% and 92.5% in the pCR cases, 80.3% and 89.1% in the pmicroR cases, and 56.2% and 68.8% in the pmacroR cases. Among the patients with lymph node residual tumor, the 5-year DFS and OS were respectively 16.7% and 40% in the pCR cases, 35.4% and 53.3% in the pmicroR cases, and 31.7% and 31.1% in the pmacroR cases. Cervical residual tumor,, positive pelvic LNs, and positive aortic LNs were associated with worse DFS and OS in both the uni- and multivariate analyses.

CONCLUSIONS

Persistence of pathologic residual tumor on the cervix and LNs after CT/RT are reliable predictors of survival for LACC patients undergoing CT/RT and adjuvant surgery.

Prognostic value of the 2018 FIGO staging system for cervical cancer

OBJECTIVE

To compare the prognostic performance of the FIGO 2009 and FIGO 2018 staging systems for cervical cancer (CC) in regards to risk stratification, survival and treatment outcome.

METHODS

A total of 4461 CC patients diagnosed in Denmark during 2005-2018 were identified through the Danish Gynaecological Cancer Database and restaged from the 2009 FIGO to the 2018 FIGO staging system. 5-year survival estimates were made for each group. Also, association between lymphovascular space invasion (LVSI) and lymph node metastasis (LNM) was assesed for tumors with a horizontal spread >7 mm and depth of invasion ≤5 mm.

RESULTS

Overall, stage migration was observed in 41.4% of our cases due to the introduction of stage IIIC (20.1%), refined tumor size criteria within stage I (76.2%), and use of radiological findings to define stage IV (3.7%). 5-year overall survival increased for all stages except IA2, IIA2, IIIA and IIIB. Restaging of 2009 IB1 to 2018 FIGO resulted in significant stage allocations. Furthermore, an association between LVSI and LNM was observed in squamous cell carcinomas with a depth of invasion of 3-5 mm and a horizontal spread >7 mm (p = 0.03).

CONCLUSION

The 2018 FIGO staging system provided improved discriminatory ability for stage I and IV. Grouping all patients with positive pelvic or paraortal lymph nodes to stage IIIC led to pronounced heterogenous survival rates within these stages. Lymph node assessment was proven imperative in FIGO 2018 IA2 squamous cell carcinomas with a depth of invasion of 3-5 mm, a horizontal spread >7 mm and LVSI.

Treatment Strategies and Prognostic Factors of 2018 FIGO Stage IIIC Cervical Cancer: A Review

Cervical cancer is the fourth most common malignant tumor globally in terms of morbidity and mortality. The presence of lymph node metastasis (LNM) is an independent prognostic factor for progression-free survival (PFS) and overall survival (OS) in cervical cancer patients. The International Federation of Gynecology and Obstetrics (FIGO) staging system was revised in 2018. An important revision designates patients with regional LNM as stage IIIC, pelvic LNM only as stage IIIC1, and para-aortic LNM as stage IIIC2. However, the current staging system is only based on the anatomical location of metastatic lymph nodes (LNs). It does not consider other LN status parameters, which may limit its prognostic significance to a certain extent and needs further exploration and confirmation in the future. The purpose of this review is to summarize the choice of treatment for stage IIIC cervical cancer and the effect of different LN status parameters on prognosis.

A novel gene signature associated with poor response to chemoradiotherapy in patients with locally advanced cervical cancer

Objective

We aimed to investigate the distinct transcriptional landscape in poor responders to concurrent chemoradiotherapy (CCRT) and to gain mechanistic insights into treatment resistance in cervical cancer.

Methods

RNA sequencing was performed in patients with locally advanced cervical cancer treated with platinum-based CCRT. Transcriptome data of no durable benefit (NDB; progression-free period <3 years) and durable clinical benefit (DCB; progression-free period >5 years) patients were compared. The NDB score was estimated for each patient using differentially expressed genes between NDB and DCB patients. The potential response to programmed death-1 blockade was estimated using the tumor immune dysfunction and exclusion (TIDE) score and T-cell-inflamed gene expression profile (GEP).

Results

NDB patients exhibited a distinct transcriptional profile compared to DCB patients, such as higher signatures of extracellular matrix organization and epithelial-to-mesenchymal transition. The fraction of cancer-associated fibroblasts (CAFs) within the tumor was significantly higher in NDB patients than in DCB patients. High NDB scores were significantly associated with poor survival in the Cancer Genome Atlas cervical cancer cohort (n=274; p=0.015) but only in patients who received curative aim radiotherapy (p=0.002). Patients with high NDB scores displayed significantly higher TIDE prediction scores and lower T-cell-inflamed GEP scores than those with low NDB scores.

Conclusion

Patients with cervical cancer having poor CCRT or RT outcomes exhibited a distinct gene signature that could predict treatment outcomes. For poor responders, immune checkpoint inhibitors may be less effective whereas CAF-targeting treatments may be a promising approach.

• A subgroup of patients with locally advanced cervical cancer exhibit no durable benefit (NDB) after chemoradiotherapy.

• NDB patients exhibited a distinct transcriptional profile

• NDB signature score predicted poor outcome in independent cohorts.

• NDB patients may have poor response to immune checkpoint blockade.