Risk Assessment Tool for Distant Recurrence After Platinum-Based Concurrent Chemoradiation in Patients With Locally Advanced Cervical Cancer: A Korean Gynecologic Oncology Group Study

Prognostic value of HPV circulating tumor DNA detection and quantification in locally advanced cervical cancer

Background

Cervical cancers are mainly caused by an oncogenic HPV. For locally advanced stages, the standard treatment is radio-chemotherapy (RTCT) followed by brachytherapy. Nevertheless, the prognosis remains highly heterogeneous between patients.

Objective

We investigated the prognostic value of HPV circulating tumor DNA (ctDNA) in locally advanced cervical cancers alongside that of Squamous Cell Carcinoma Antigen (SCC-A).

Methods

This single-center retrospective study included patients treated in curative intent for an IB3 to IVA squamous cell cervical cancer. Quantification of HPV ctDNA in serum collected at diagnosis was performed using a multiplex digital PCR assay for the simultaneous detection of 8 HPV genotypes.

Results

Among the 97 patients included, 76 patients (78.4%) were treated by RTCT, followed by brachytherapy for 57 patients (60%). HPV ctDNA was detected in 59/97 patients at diagnosis (60.8%). This detection was associated with lymph node invasion (p=0.04) but not with tumor stage. A high level of SCC-A at diagnosis was associated with tumor stage (p=0.008) and lymph node invasion (p=0.012). In univariate analysis, better disease-free survival (DFS) was associated with optimal RTCT regimen (p=0.002), exposure to brachytherapy (p=0.0001) and a low SCC-A at diagnosis (continuous analysis, p=0.002). Exploratory analysis revealed that 3/3 patients (100%) whose HPV ctDNA was still detectable at the end of treatment relapsed, while 6/22 patients (27.3%) whose HPV ctDNA was negative at the end of treatment relapsed.

Conclusion

HPV ctDNA detection at diagnosis of locally advanced cervical squamous cell carcinomas is frequent and related to node invasion, but not to DFS. The prognostic value of HPV ctDNA detection after treatment warrants specific studies.

East Asian Gynecologic Oncology Trial Group (EAGOT): founding history and future perspective

Racial and regional differences exist in morbidity, histology, drug response, toxicity, and prognosis of gynecologic cancer. However, most large-scale phase III studies have been conducted in Western countries, and these data on Asians, who account for more than half of the world's population, are limited. To build a global clinical trial network in Asia, four clinical trial groups with high expertise and international competitiveness in East Asia, namely the Japanese Gynecologic Oncology Group in Japan, the Korean Gynecologic Oncology Group in Korea, the Taiwanese Gynecologic Oncology Group in Taiwan, and the Chinese Gynecologic Cancer Society in the People's Republic of China, established a new group called the East Asia Gynecologic Oncology Trial Group (EAGOT) on November 19, 2021. It includes four committees: the Cervical Cancer Committee, Uterine Corpus Cancer Committee, Ovarian Cancer Committee, and Translational Research Committee. The purpose of EAGOT is to conduct international clinical trials in an effort to provide the best treatments for Asian women affected by gynecologic cancer. Discussions on new collaborative clinical trials have already begun. The first Annual EAGOT Meeting was held on May 25-27, 2023 in Niigata, Japan. EAGOT, the largest healthcare/investigational innovation network in Asia in the area of gynecologic cancers, will become a platform for establishing standards of care and lead to guidelines for Asian women suffering from gynecologic cancer. The harmonization of regulatory/investigator-initiated clinical trials, simultaneous approval of unapproved drugs in the four countries under a common protocol, and expansion of indications will improve the prognosis of gynecologic cancers in Asia in the near future.

Role of squamous cell carcinoma antigen in prognostication, monitoring of treatment response, and surveillance of locally advanced cervical carcinoma

Introduction

Squamous cell carcinoma antigen (SCC Ag) is a sub-fraction of the tumor antigen TA-4, first isolated by Kato and Torigoe, the most commonly used tumor marker in cervical cancer. It can be used as a serum marker to detect residual disease, early local recurrence, or distant metastasis in locally advanced cervical cancer even before the clinical symptoms of recurrence or metastasis.

Methods and Materials

Between January 2018 and August 2018, 30 patients with squamous cell carcinoma cervix (FIGO) stages IB2-IVA, who received concurrent chemoradiation, followed by brachytherapy, were included in the study. Serum SCC Ag levels were collected at four time points during the course of the treatment, and their correlation with tumor and treatment factors were analyzed.

Results

As the FIGO stage increases, mean pre-treatment SCC Ag also increases. Node-positive patients had higher pre-treatment SCC Ag as compared to those who were negative (P = 0.05). There was a statistically significant decreasing trend in the mean SCC Ag at the end of EBRT (P = 0.015). After completion of treatment, 78% had a complete response, 8% had a partial response, and 14% had progressive disease with statistically significant elevation of SCC Ag at 6 weeks of follow-up (P = 0.01). Patients who progressed or had the residual disease at follow-up were found to have high pre-treatment SCC Ag values.

Conclusion

SCC Ag can be potentially used as a reference indicator of biological behavior of cervical cancer, to monitor the treatment response, and as a prognostic marker, especially in those with node-positive disease.

Development and validation of radiomic signature for predicting overall survival in advanced-stage cervical cancer

Background

The role of artificial intelligence and radiomics in prediction model development in cancer has been increasing every passing day. Cervical cancer is the 4th most common cancer in women worldwide, contributing to 6.5% of all cancer types. The treatment outcome of cervical cancer patients varies and individualized prediction of disease outcome is of paramount importance.

Purpose

The purpose of this study is to develop and validate the digital signature for 5-year overall survival prediction in cervical cancer using robust CT radiomic and clinical features.

Materials and Methods

Pretreatment clinical features and CT radiomic features of 68 patients, who were treated with chemoradiation therapy in our hospital, were used in this study. Radiomic features were extracted using an in-house developed python script and pyradiomic package. Clinical features were selected by the recursive feature elimination technique. Whereas radiomic feature selection was performed using a multi-step process i.e., step-1: only robust radiomic features were selected based on our previous study, step-2: a hierarchical clustering was performed to eliminate feature redundancy, and step-3: recursive feature elimination was performed to select the best features for prediction model development. Four machine algorithms i.e., Logistic regression (LR), Random Forest (RF), Support vector classifier (SVC), and Gradient boosting classifier (GBC), were used to develop 24 models (six models using each algorithm) using clinical, radiomic and combined features. Models were compared based on the prediction score in the internal validation.

Results

The average prediction accuracy was found to be 0.65 (95% CI: 0.60-0.70), 0.72 (95% CI: 0.63-0.81), and 0.77 (95% CI: 0.72-0.82) for clinical, radiomic, and combined models developed using four prediction algorithms respectively. The average prediction accuracy was found to be 0.69 (95% CI: 0.62-0.76), 0.79 (95% CI: 0.72-0.86), 0.71 (95% CI: 0.62-0.80), and 0.72 (95% CI: 0.66-0.78) for LR, RF, SVC and GBC models developed on three datasets respectively.

Conclusion

Our study shows the promising predictive performance of a robust radiomic signature to predict 5-year overall survival in cervical cancer patients.

Controversies in the Staging of Patients with Locally Advanced Cervical Cancer

Approximately 10-25% of patients with locally advanced cervical cancer harbor metastases to the para-aortic lymph nodes. Staging of patients with locally advanced cervical cancer can be performed with imaging techniques, such as PET-CT; however, false negative rates can be as high as 20%, especially for patients with pelvic lymph node metastases. Surgical staging can identify patients with microscopic lymph nodes metastases and aid in accurate treatment planning with the administration of extended-field radiation therapy. Data from retrospective studies investigating the impact of para-aortic lymphadenectomy on the oncological outcomes of patients with locally advanced cervical cancer are mixed, while data from randomized controlled trials do not demonstrate a progression-free survival benefit. In the present review, we explore controversies in the staging of patients with locally advanced cervical cancer and summarize the available literature.

Systematic review and meta-analysis of prediction models used in cervical cancer

BACKGROUND

Cervical cancer is one of the most common cancers in women with an incidence of around 6.5 % of all the cancer in women worldwide. Early detection and adequate treatment according to staging improve the patient's life expectancy. Outcome prediction models might aid treatment decisions, but a systematic review on prediction models for cervical cancer patients is not available.

DESIGN

We performed a systematic review for prediction models in cervical cancer following PRISMA guidelines. Key features that were used for model training and validation, the endpoints were extracted from the article and data were analyzed. Selected articles were grouped based on prediction endpoints i.e. Group1: Overall survival, Group2: progression-free survival; Group3: recurrence or distant metastasis; Group4: treatment response; Group5: toxicity or quality of life. We developed a scoring system to evaluate the manuscript. As per our criteria, studies were divided into four groups based on scores obtained in our scoring system, the Most significant study (Score > 60 %); Significant study (60 % > Score > 50 %); Moderately Significant study (50 % > Score > 40 %); least significant study (score < 40 %). A meta-analysis was performed for all the groups separately.

RESULTS

The first line of search selected 1358 articles and finally 39 articles were selected as eligible for inclusion in the review. As per our assessment criteria, 16, 13 and 10 studies were found to be the most significant, significant and moderately significant respectively. The intra-group pooled correlation coefficient for Group1, Group2, Group3, Group4, and Group5 were 0.76 [0.72, 0.79], 0.80 [0.73, 0.86], 0.87 [0.83, 0.90], 0.85 [0.77, 0.90], 0.88 [0.85, 0.90] respectively. All the models were found to be good (prediction accuracy [c-index/AUC/R²] >0.7) in endpoint prediction.

CONCLUSIONS

Prediction models of cervical cancer toxicity, local or distant recurrence and survival prediction show promising results with reasonable prediction accuracy [c-index/AUC/R² > 0.7]. These models should also be validated on external data and evaluated in prospective clinical studies.

Development and validation of a prognostic prediction model including the minor lymphatic pathway for distant metastases in cervical cancer patients

To develop and validate a prognostic model, including the minor lymphatic pathway (internal iliac and presacral nodes). Study design: Retrospective cohort. Participants: Locally advanced cervical cancer underwent concurrent chemoradiotherapy. Sample size: 397 and 384 patients in the development and validation data set. Predictors: Our new nodal staging system with the minor lymphatic pathway. Outcome: Distant metastases. Statistical analysis: Cox regression; net reclassification improvement (NRI) and decision curve analysis (DCA). Our new nodal system was the strongest predictor. The predictors in the final model were new nodal system, tumor stage, adenocarcinoma, initial hemoglobin, tumor size and age. The nodal system and the pretreatment model had concordance indices of 0.661 and 0.708, respectively, with good calibration curves. Compared to the OUTBACK eligibility criteria, the nodal system showed NRI for both cases (22%) and controls (16%). The pretreatment model showed NRI for cases (31%) and controls (18%). DCA in both models showed threshold probability of 15% and 12%, respectively, when compared with 24% in OUTBACK eligibility criteria. Our new nodal staging system and the pretreatment model could differentiate between high-risk and low-risk patients, thus facilitating decisions to provide more aggressive treatment to prevent distant metastases.

Usefulness of Short-Term Imaging and Squamous Cell Carcinoma Antigen to Early Predict Response to Concurrent Chemoradiotherapy in Patients With Cervical Cancer

OBJECTIVE

The objective is to investigate the factors that can predict early treatment response in patients receiving concurrent chemoradiotherapy (CCRT) for cervical cancer.

METHODS

We assessed clinical factors and treatment response in patients who underwent CCRT for cervical cancer at four time points: initial, 2.5 weeks, 6 weeks after starting CCRT, and 3 months after completing CCRT. The final treatment response was determined by positron emission tomography-computed tomography (PET-CT) 3 months after completion of CCRT. Patients were divided into two groups according to the final treatment response: complete response (CR) group or non-CR group. And the early CCRT response prediction model was developed using stepwise multivariate logistic regression analysis.

RESULTS

Of the 62 patients who underwent CCRT for cervical cancer, 57 patients who completed all 4 time points examinations were included in the analyses and classified as CR (n = 32) and non-CR (n = 25) group. Tumor volume and serum squamous cell carcinoma antigen (SCC Ag) of the initial, 2.5 weeks, and 6 weeks after CCRT were significantly associated with the final treatment response. For the early treatment response prediction model, we selected patient age, tumor volume, and SCC Ag measured at initial and 2.5 weeks of CCRT as variables, and the equation of the final model was yielded. Using a cutoff of 0.433, this model had a sensitivity of 72.0%, a specificity of 84.4%, and a probability of 0.8225 (P < .0001).

CONCLUSION

Short-term (at 2.5 weeks after starting CCRT) measurements of tumor volume and serum SCC Ag were significant predictors of response to CCRT in patients with cervical cancer.

Clinical value of serum biomarkers, squamous cell carcinoma antigen and apolipoprotein C-II in follow-up of patients with locally advanced cervical squamous cell carcinoma treated with radiation: A multicenter prospective cohort study

There are currently no reliable, established serum biomarkers to predict the prognosis of radiotherapy for advanced cervical cancer. We aimed to identify serum biomarkers for survival after radiotherapy for cervical cancer. In this multicenter prospective cohort study, the usefulness of pre- and posttreatment serum protein levels of potential biomarkers, including squamous cell carcinoma antigen (SCC-Ag), apolipoprotein C-II (ApoC-II), matrix metalloproteinase (MMP)1, and MMP2, were evaluated together with clinical factors in 145 cervical cancer patients in order to determine their suitability to predict survival. Progression-free survival (PFS) was the primary endpoint, and overall survival (OS), pelvic PFS (PPFS), and distant metastasis-free survival (DMFS) were the secondary endpoints. Blood samples were collected before and 1 month after radiotherapy to measure serum biomarker levels. ApoC-II was measured using a monoclonal antibody-based enzyme-linked immunosorbent assay, which was developed for this purpose. Kaplan-Meier method, log-rank test, and univariate and multivariate Cox proportional hazards models were used for statistical analyses. In multivariate analysis, larger tumor size was independently associated with shorter PFS, OS, PPFS, and DMFS, while longer overall treatment time was independently associated with shorter PPFS. Higher pretreatment SCC-Ag (P < 0.001) was associated with shorter DMFS. Higher posttreatment SCC-Ag (P = 0.017) was also associated with shorter DMFS. Pretreatment ApoC-II was associated with PPFS in univariate analysis (P = 0.048), but not in multivariate analysis. Patients with pretreatment ApoC-II levels ≤ 25.8 μg/ml had shorter PPFS than those with pretreatment ApoC-II levels > 25.8 μg/ml (P = 0.023, log-rank test). Pre- and posttreatment serum SCC-Ag and pretreatment serum ApoC-II levels may be important biomarkers to predict survival outcomes of patients with cervical cancer after radiotherapy. Pre- and posttreatment SCC-Ag and pretreatment ApoC-II might be useful in clinical settings for screening patients to improve treatment strategies in cervical cancer.

Predicting the risk of the distant recurrence of cervical cancer after concurrent chemoradiation: A validation study of the Korean Gynecologic Oncologic Group (KGOG)-1024 model

BACKGROUND

This study aimed to validate the performance of the Korean Gynecologic Oncologic Group (KGOG)-1024 risk model in predicting the risk of distant failure after chemoradiation in patients with locally advanced cervical cancer (LACC).

METHODS

In a retrospective cohort of 297 patients who received concurrent chemoradiation for advanced cervical cancer, individual risk was calculated using the KGOG-1024 risk model. The cohort was categorized into three risk groups (low-, intermediate-, and high-risk groups) according to the calculated risk. The means of the calculated and observed risks were compared within each group.

RESULTS

The study population was classified into low-, intermediate-, and high-risk groups according to the KGOG-1024 risk model (27.2%, 49.3%, and 23.5% of patients, respectively). The calculated and observed 5-year cumulative incidence rates were 12.4% vs. 16.4% in the low-risk group, 23.2% vs. 25.9% in the intermediate-risk group, and 50.7% vs. 36.3% in the high-risk group. Overall, the calculated and observed risk was 26.7% vs. 25.6%.

CONCLUSIONS

The KGOG-1024 risk assessment model accurately predicted distant recurrence after chemoradiation in patients with LACC, especially in the low- and intermediate-risk groups. The model may be helpful for identifying patients for future trials assessing the possible benefit of adjuvant systemic treatment after chemoradiation.

Pretreatment Squamous Cell Carcinoma Antigen (SCC-Ag) as a Predictive Factor for the Use of Consolidation Chemotherapy in Cervical Cancer Patients After Postoperative Extended-Field Concurrent Chemoradiotherapy

Objective: The goal of this study was to confirm the clinical value of pretreatment serum squamous cell carcinoma antigen (SCC-Ag) in the administration of consolidation chemotherapy in patients with cervical cancers undergoing postoperative extended-field radiotherapy (EFRT) and concurrent chemotherapy (CCRT). Methods: Between 2007 and 2018, a total of 113 patients were treated with postoperative extended-field intensity-modulated radiotherapy (EF-IMRT) and CCRT. There were 63 patients receiving extended-field concurrent chemoradiotherapy (EF-CCRT) and consolidation chemotherapy, while another 50 patients underwent EF-CCRT alone. For the planning target volume, the prescribed dose was 45 to 50.4Gy/25 to 28 fractions. The consolidation chemotherapy regimen contained docetaxel and cisplatin. Results: For the patients with high pretreatment SCC-Ag, the addition of consolidation chemotherapy significantly improved their treatment outcomes and they had better 5-year overall survival (OS) (81.02% vs 63.44%, P = .018) and disease-free survival (DFS) (76.95% vs 61.12%, P = .007) than those without it. Meanwhile, the patients with consolidation chemotherapy had a lower rate of distant metastasis (8.8% vs 34.8%, P = .001). For the patients with low pretreatment SCC-Ag, there was no difference in prognosis between patients receiving consolidation chemotherapy and those not receiving consolidation. In multivariate analysis, consolidation chemotherapy was found to be a factor significantly associated with DFS (P = .035, 95% confidence interval (CI): 0.304-0.977) and distant metastasis (P = .009, 95% CI: 0.125-0.841). Conclusion: The patients who received consolidation chemotherapy showed significantly better DFS. Furthermore, pretreatment serum SCC-Ag > 6.5 ng/mL may be a predictive factor for the use of consolidation chemotherapy in cervical cancer patients treated with postoperative EF-CCRT.

A study on the clinical value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography combined with serum squamous cell carcinoma antigen in diagnosing recurrence/metastases in patients with early metaphase cervical cancer

Cervical cancer (CC) is the most common female genital tract malignancy, with repercussions on the psychophysiological health of female patients. Patients with CC are faced with a high risk of postoperative recurrence and metastases. The present study aimed to evaluate the clinical value of 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) combined with serum squamous cell carcinoma antigen (SCC-Ag) in the diagnosis of postoperative recurrence/metastases in patients with early stage CC. This was a prospective follow-up study on 246 patients who received surgery for early stage CC. The results of clinical follow-up and pathological examination were taken as the gold standard. The diagnostic sensitivity, specificity, positive predictive value, negative predictive value and area under the receiver operating characteristic (ROC) curve were calculated for PET/CT, serum SCC-Ag determination and the combined PET/CT and serum SCC-Ag method. Results demonstrated that 90.11% patients completed the follow-up, and the median follow-up time was 22 months (range, 7–42 months). Tumor recurrence or metastasis was confirmed in a total of 137 patients (55.7%), including 18 deaths. The diagnostic sensitivity of PET/CT scan combined with serum SCC-Ag determination for postoperative metastases/recurrence in patients with early stage CC was 93.43% (95% CI, 0.875–0.967). The specificity was 92.67% (95% CI, 0.856–0.965), the positive predictive value was 94.12% (95% CI, 0.884–0.972), the negative predictive value was 91.81% (95% CI, 0.846–0.959) and the area under the ROC curve was 0.930±0.019 (95% CI, 0.893–0.968; P<0.001). The results also revealed that the serum SCC-Ag level was positively correlated with SUVmax (r=0.458; P<0.001). The results from the present study demonstrated that for patients with early metaphase CC, PET/CT scan combined with serum SCC-Ag determination during the follow-up was capable of earlier, more comprehensive and more accurate detection of recurrence/metastatic lesions, which is of high clinical application value.

Prediction Models for Prognosis of Cervical Cancer: Systematic Review and Critical Appraisal

Objective: This work aims to systematically identify, describe, and appraise all prognostic models for cervical cancer and provide a reference for clinical practice and future research. Methods: We systematically searched PubMed, EMBASE, and Cochrane library databases up to December 2020 and included studies developing, validating, or updating a prognostic model for cervical cancer. Two reviewers extracted information based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies checklist and assessed the risk of bias using the Prediction model Risk Of Bias ASsessment Tool. Results: Fifty-six eligible articles were identified, describing the development of 77 prognostic models and 27 external validation efforts. The 77 prognostic models focused on three types of cervical cancer patients at different stages, i.e., patients with early-stage cervical cancer (n = 29; 38%), patients with locally advanced cervical cancer (n = 27; 35%), and all-stage cervical cancer patients (n = 21; 27%). Among the 77 models, the most frequently used predictors were lymph node status (n = 57; 74%), the International Federation of Gynecology and Obstetrics stage (n = 42; 55%), histological types (n = 38; 49%), and tumor size (n = 37; 48%). The number of models that applied internal validation, presented a full equation, and assessed model calibration was 52 (68%), 16 (21%), and 45 (58%), respectively. Twenty-four models were externally validated, among which three were validated twice. None of the models were assessed with an overall low risk of bias. The Prediction Model of Failure in Locally Advanced Cervical Cancer model was externally validated twice, with acceptable performance, and seemed to be the most reliable. Conclusions: Methodological details including internal validation, sample size, and handling of missing data need to be emphasized on, and external validation is needed to facilitate the application and generalization of models for cervical cancer.

Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study

PURPOSE

To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).

METHODS AND MATERIALS

Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.

RESULTS

Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage₂₀₀₉, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume_, volume of CTV at the first brachytherapy [CTV_HRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage₂₀₀₉, lymph node involvement, concurrent chemotherapy, CTV_HRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion-selected factors (age, corpus involvement, FIGO Stage₂₀₀₉, lymph node involvement, concurrent chemotherapy, CTV_HRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).

CONCLUSIONS

This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO₂₀₀₉ stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment.

Could Adjuvant Chemotherapy Improve Prognosis for Cervical Cancer Patients with Elevated Pretreatment Serum Squamous-Cell Carcinoma Antigen?

Objective

The aim of this study was to explore whether adjuvant chemotherapy could improve prognosis for cervical cancer patients with elevated pretreatment serum squamous-cell carcinoma antigen (SCC-Ag).

Methods

Propensity-score matching and inverse probability of treatment weighting (IPTW) were used to ensure balanced groups for patients with (arm A) and without adjuvant chemotherapy (arm B). All patients were treated between January 2012 and December 2014 at a single center. Study outcomes were disease-free survival (DFS) and overall survival (OS).

Results

In total, 81 patients were included in this study. By propensity-score matching, 35 patients were included in each group (arm A and arm B). Median follow-up was 60 months in arm A and 66 months in arm B. Overall, 85.7% of patients in arm A and 71.4% of those in arm B received adjuvant radiotherapy. DFS and OS curves were similar between arms A and B (P=0.971 and 0.633, respectively). With IPTW, arm A was not associated with prognosis in terms of DFS (HR 0.946, 95% CI 0.237–3.784; P=0.938) or OS (HR 1.020, 95%CI 0.357–2.913; P=0.970).

Conclusion

For patients with elevated pretreatment SCC-Ag, adjuvant chemotherapy was not found to improve prognosis. Also, a considerable proportion of these patients had postoperative indications for adjuvant radiotherapy. For these cervical cancer patients with elevated pretreatment SCC-Ag, the choice of radical hysterectomy and adjuvant chemotherapy should be prudent.

Log Odds of Positive Lymph Node- (LODDS-) Based Competing-Risk Nomogram for Predicting Prognosis of Resected Rectal Cancer: A Development and Validation Study

Background and Aims. Cancer-specific survival (CSS) of rectal cancer (RC) is associated with several factors. We aimed to build an efficient competing-risk nomogram based on log odds of positive lymph nodes (LODDS) to predict RC survival. Methods. Medical records of 8754 patients were collected from the Surveillance, Epidemiology, and End Results (SEER) database, of 4895 patients from SEER during 2011–2014 and of 478 patients from an Eastern center as a development cohort, validation cohort, and test cohort, respectively. Univariate and multivariate competing-risk analyses were performed to build competing-risk nomogram for predicting the CSS of RC patients. Prediction efficacy was evaluated and compared with reference to the 8th TNM classification using the factor areas under the receiver operating characteristic curve (AUC) and Brier score. Results. The competing-risk nomogram was based on 6 variables: size, M stage, LODDS, T stage, grade, and age. The competing-risk nomogram showed a higher AUC value in predicting the 5-year death rate due to RC than the 8th TNM stage in the development cohort (0.81 vs. 0.76), validation cohort (0.85 vs. 0.82), and test cohort (0.71 vs. 0.66). The competing-risk nomogram also showed a higher Brier score in predicting the 5-year death rate due to RC than the 8th TNM stage in the development cohort (0.120 vs. 0.127), validation cohort (0.123 vs. 0.128), and test cohort (0.202 vs. 0.226). Conclusion. We developed and validated a competing-risk nomogram for RC death, which could provide the probability of survival averting competing risk to facilitate clinical decision-making.

A preoperative radiomics model for the identification of lymph node metastasis in patients with early-stage cervical squamous cell carcinoma

OBJECTIVES

To develop and validate a radiomics model for preoperative identification of lymph node metastasis (LNM) in patients with early-stage cervical squamous cell carcinoma (CSCC).

METHODS

Total of 190 eligible patients were randomly divided into training (n = 100) and validation (n = 90) cohorts. Handcrafted features and deep-learning features were extracted from T2W fat suppression images. The minimum redundancy maximum relevance algorithm and LASSO regression with 10-fold cross-validation were used for key features selection. A radiomics model that incorporated the handcrafted-signature, deep-signature, and squamous cell carcinoma antigen (SCC-Ag) levels was developed by logistic regression. The model performance was assessed and validated with respect to its calibration, discrimination, and clinical usefulness.

RESULTS

Three handcrafted features and three deep-learning features were selected and used to build handcrafted- and deep-signature. The model, which incorporated the handcrafted-signature, deep-signature, and SCC-Ag, showed satisfactory calibration and discrimination in the training cohort (AUC: 0.852, 95% CI: 0.761-0.943) and the validation cohort (AUC: 0.815, 95% CI: 0.711-0.919). Decision curve analysis indicated the clinical usefulness of the radiomics model. The radiomics model yielded greater AUCs than either the radiomics signature (AUC = 0.806 and 0.779, respectively) or the SCC-Ag (AUC = 0.735 and 0.688, respectively) alone in both the training and validation cohorts.

CONCLUSION

The presented radiomics model can be used for preoperative identification of LNM in patients with early-stage CSCC. Its performance outperforms that of SCC-Ag level analysis alone.

ADVANCES IN KNOWLEDGE

A radiomics model incorporated radiomics signature and SCC-Ag levels demonstrated good performance in identifying LNM in patients with early-stage CSCC.

Prophylactic Extended-Field Irradiation in Patients With Cervical Cancer: A Literature Review

Currently, the standard radiation field for locally advanced cervical cancer patients without evidence of para-aortic lymph node (PALN) metastasis is the pelvis. Due to the low accuracy of imaging in the diagnosis of PALN metastasis and the high incidence of PALN failure after pelvic radiotherapy, prophylactic pelvic and para-aortic irradiation, also called extended-field irradiation (EFI), is performed for patients with cervical cancer. In the era of concurrent chemoradiotherapy, randomized controlled trials are limited, and whether patients with cervical cancer can benefit from prophylactic EFI is still controversial. With conformal or intensity-modulated radiation therapy, patients tolerate prophylactic EFI very well. The severe toxicities of prophylactic EFI are not significantly higher than those of pelvic radiotherapy. We recommend delivering prophylactic EFI to cervical cancer patients with common iliac lymph nodes metastasis. Clinical trials are needed to investigate whether patients with ≥3 positive pelvic lymph nodes and FIGO stage IIIB disease can benefit from prophylactic EFI. According to the distribution of PALNs, it is reasonable to use the renal vein as the upper border of the radiation therapy field for patients treated with prophylactic EFI. The clinical target volume expansion of the node from the vessel should be smaller in the right para-caval region than in the left lateral para-aortic region. The right para-caval region above L2 or L3 may be omitted from the PALN target volume to reduce the dose to the duodenum. More clinical trials on prophylactic EFI in cervical cancer are needed.

Risk factors associated with Para-Aortic Lymph Node Failure after pelvic irradiation in patients with Cervical Cancer

Objective: Previous studies have shown that prophylactic extended-field irradiation can reduce para-aortic lymph node failure (PALNF) rates in patients with cervical cancer. As such, this type of irradiation may particularly benefit patients with a high risk of PALNF. In the present study, we analyzed the risk factors for PALNF in patients with cervical cancer treated with pelvic irradiation in order to identify potential indications of prophylactic extended-field irradiation.

Methods: We evaluated patients with 2018 FIGO stage IB3-IIIC1 cervical cancer who were treated with definitive pelvic radiotherapy or concurrent chemoradiotherapy at our institution between 2011 and 2014. Univariate and multivariate analyses were performed to identify risk factors for PALNF.

Results: We included 572 patients in the study. The median follow-up period was 37.9 months. Eighteen patients (3.1%) first site of tumor relapse was the para-aortic lymph nodes, and thus showed PALNF. Using multivariate Cox regression analysis, we identified two significant risk factors for PALNF: tumor extension to the pelvic wall (hazard ratio, HR 3.60, p=0.026) and ≥ 2 pelvic MLNs (HR 5.30, p=0.005). For patients with and without risk factors, the 3-year overall survival, disease-free survival, and PALNF rates were 77.3% and 90.1% (p<0.001), 56.4% and 83.1% (p<0.001), and 12.0% and 2.3% (p<0.001), respectively.

Conclusion: Tumor extension to the pelvic wall and ≥ 2 pelvic MLNs are positively associated with PALNF after pelvic irradiation in patients with cervical cancer. Further trials will be required to validate whether patients with these two risk factors may benefit from prophylactic extended-field irradiation.

Cisplatin-based chemotherapy with or without bevacizumab for Chinese postmenopausal women with advanced cervical cancer: a retrospective observational study

Background

The purpose of this study was to assess the efficacy and safety of cisplatin-based chemotherapy with or without bevacizumab (BEV) in Chinese women with advanced cervical cancer (ACC).

Methods

For this observational study, we analysed the data of 316 Chinese women with ACC who were treated at the Henan provincial people’s hospital between Jan 1, 2014, and Dec 31, 2018, with cisplatin-based chemotherapy plus BEV (CB) or cisplatin-based chemotherapy alone (CA) until disease progression, unacceptable toxicity, or death. The co-primary endpoints were overall survival (OS) and progression-free survival (PFS); the secondary endpoint was the occurrence of adverse events (AEs).

Results

A total of 264 patients with ACC were included in the assessment (CB, n = 130 and CA, n = 134). At a median follow-up of 38 months (IQR 36–40), the median OS in the CB cohort was significantly longer than that in the CA cohort (hazard ratio [HR] 1.21, 95% confidence interval[CI] 1.14–1.73; p = 0.002); additionally, the median PFS was 345 days (95% CI, 318–372) for CB and 261 days (95% CI, 165–357) for CA(HR 1.61, 95% CI 1.12–2.17; p = 0.000). Significant differences were noted between groups in terms of thrombosis/embolism, neutropenia, and febrile neutropenia.

Conclusions

In Chinese women with ACC, cisplatin-based chemotherapy plus BEV is associated with improved survival compared to cisplatin-based chemotherapy alone. This finding suggests a positive survival benefit of anti-angiogenesis therapy in this population.

Pretreatment Lymph Node Metastasis as a Prognostic Significance in Cervical Cancer: Comparison between Disease Status

PURPOSE

Lymph node metastasis (LNM) is the most significant prognostic factor in cervical cancer that was recently incorporated into the International Federation of Gynecology and Obstetrics (FIGO) staging system. This study was performed to evaluate whether the prognostic significance of LNM differs according to disease status.

MATERIALS AND METHODS

Patients with FIGO stage IB or higher cervical cancer who had pretreatment computed tomography and/or magnetic resonance imaging studies as well as long-term follow-up were enrolled in this retrospective study. The hazard ratio (HR) of Cox regression was used to determine the prognostic significance of LNM. The HRs were compared between the different tumor groups (based on stage, histology, tumor size, primary treatment, age, parametrium involvement, and lymphovascular space invasion).

RESULTS

A total of 970 patients treated between January 1999 and December 2007 were included. The pretreatment LNM had prognostic significance in patients with stage IB1/IIA (HR for progression-free survival 2.10, p=0.001; HR for overall survival 1.99, p=0.005). However, the significance gradually decreased or disappeared with advancing stages. Similarly, the prognostic significance of the pretreatment LNM decreased with advancing disease status, including old age, parametrial involvement or lymphovascular space involvement. In contrast, the tumor size was associated with the prognostic significance of LNM with advancing status. The significance of the clinical LNM did not reflect the significance of the clinical stage. In contrast, the tumor size, parametrial involvement, and significance of the pathologic LNM reflected the clinical stage.

CONCLUSION

In patients with cervical cancer, pretreatment LNM on imaging has different clinical significance depending on the tumor status.

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

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.

The role of squamous cell carcinoma antigen (SCC Ag) in outcome prediction after concurrent chemoradiotherapy and treatment decisions for patients with cervical cancer

At present, the standard treatment approach for locally advanced cervical cancer is concurrent chemoradiotherapy (CCRT). An elevated pretreatment squamous cell carcinoma antigen (SCC Ag) level is associated with extensive tumors and poor survival for patients with cervical cancer treated with definitive CCRT. SCC Ag levels can be used to help physicians make decisions regarding surgery, avoiding the complications of double treatment modalities. Elevated SCC Ag is associated with radiotherapy resistance, and the rate of SCC Ag reduction during CCRT can predict tumor response after treatment. Moreover, the failure of SCC Ag levels to normalize posttreatment can predict tumor relapse, with a specificity higher than 70%, and adjuvant therapies should be considered for these patients. SCC Ag also plays an important role in the early detection of tumor relapse in patients with cervical cancer during follow-up after CCRT, with high sensitivity and good cost-effectiveness.

Prophylactic Extended-Field Irradiation for Patients With Cervical Cancer Treated With Concurrent Chemoradiotherapy: A Propensity-Score Matching Analysis

Supplemental digital content is available in the text.

Objective

The aim of the study was to evaluate the efficacy and toxicity of prophylactic extended-field radiation therapy (RT) for cervical cancer patients treated with concurrent chemoradiotherapy (CCRT).

Methods

Records of patients with cervical cancer without para-aortic metastatic lymph nodes who were treated with definitive RT or CCRT between January 2011 and December 2014 were reviewed. Patients were classified into the pelvic RT and extended-field RT groups. An additional dose of 50.4 Gy in 28 fractions was delivered to para-aortic lymph node regions for patients in the extended-field RT group. Cox regression and propensity-score matching (1:1) were used to compare the overall survival (OS), disease-free survival (DFS), distant failure, and para-aortic lymph node failure (PALNF) between the pelvic RT and extended-field RT groups.

Results

A total of 778 patients were analyzed. Of them, 624 patients were treated with pelvic RT and 154 patients received extended-field RT. The median follow-up period was 37.5 months. In multivariate analysis, extended-field RT was an independent prognostic factor of distant failure (hazard ratio [HR] = 0.49, 95% confidence interval [CI] = 0.26–0.90, P = 0.023) and PALNF (HR = 0.012, 95% CI = 0.00–0.49, P = 0.019). However, it was not significant in predicting OS (P = 0.546) and DFS (P = 0.187). With propensity-score matching, 108 pairs of patients were selected. The 3-year OS, DFS, local control, distant failure, and PALNF rates in the pelvic RT and extended-field RT groups were 87.1% and 85.7% (P = 0.681), 71.0% and 80.6% (P = 0.199), 86.6% and 85.0% (P = 0.695), 21.7% and 7.0% (P = 0.016), and 6.6% and 0% (P = 0.014), respectively. The incidences of grade 3 or greater chronic toxicities were 3.5% and 6.5% in the pelvic RT and extended-field RT groups, respectively (P = 0.097).

Conclusions

Prophylactic extended-field RT was associated with decreased distant failure and PALNF and showed a trend in improving DFS in patients with cervical cancer treated with CCRT.

Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [18F]-fluorodeoxyglucose positron emission tomography/computed tomography

BACKGROUND

We designed a deep learning model for assessing ¹⁸F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.

METHODS

All 142 patients with cervical cancer underwent ¹⁸F-FDG PET/CT for pretreatment staging and received allocated treatment. To augment the amount of image data, each tumor was represented as 11 slice sets each of which contains 3 2D orthogonal slices to acquire a total of 1562 slice sets. In each round of k-fold cross-validation, a well-trained proposed model and a slice-based optimal threshold were derived from a training set and used to classify each slice set in the test set into the categories of with or without local or distant failure. The classification results of each tumor were aggregated to summarize a tumor-based prediction result.

RESULTS

In total, 21 and 26 patients experienced local and distant failures, respectively. Regarding local recurrence, the tumor-based prediction result summarized from all test sets demonstrated that the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 71%, 93%, 63%, 95%, and 89%, respectively. The corresponding values for distant metastasis were 77%, 90%, 63%, 95%, and 87%, respectively.

CONCLUSION

This is the first study to use deep learning model for assessing ¹⁸F-FDG PET/CT images which is capable of predicting treatment outcomes in cervical cancer patients.

KEY POINTS

• This is the first study to use deep learning model for assessing ¹⁸ F-FDG PET/CT images which is capable of predicting treatment outcomes in cervical cancer patients. • All 142 patients with cervical cancer underwent ¹⁸ F-FDG PET/CT for pretreatment staging and received allocated treatment. To augment the amount of image data, each tumor was represented as 11 slice sets each of which contains 3 2D orthogonal slices to acquire a total of 1562 slice sets. • For local recurrence, all test sets demonstrated that the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 71%, 93%, 63%, 95%, and 89%, respectively. The corresponding values for distant metastasis were 77%, 90%, 63%, 95%, and 87%, respectively.

Nomograms predicting survival and patterns of failure in patients with cervical cancer treated with concurrent chemoradiotherapy: A special focus on lymph nodes metastases

Objective

To construct nomograms predicting survival and patterns of failure in patients with cervical cancer treated with concurrent chemoradiotherapy (CCRT).

Methods

A total of 833 patients with cervical cancer treated with definitive radiotherapy or CCRT in our institute from January 2011 to December 2014 were included. Cox proportional hazard regression models were used in univariate and multivariate analysis. The following variables were included in the univariate analysis: histology, FIGO stage, lymph node metastases (para-aortic, pelvic, common iliac, binary pelvic, and binary common iliac LNMs), the number of pelvic metastatic lymph nodes (MLNs), and the diameter of pelvic MLNs. Nomograms predicting the 3- and 5-year overall survival (OS), disease-free survival (DFS), local control (LC) and distant metastasis-free (DMF) were constructed. The nomograms were internally validated with respect to discrimination and calibration.

Results

The median follow-up period was 36.4 months (range,1.0 to 76.2 months). After univariate and multivariate analysis, histology, FIGO stage, para-aortic LNM, pelvic LNM, number of MLNs and diameter of pelvic MLNs significantly predicted OS, DFS, LC or DMF. Nomograms predicting the 3- and 5-year OS, DFS, LC and DMF were constructed incorporating these significant variables. These nomograms showed good discrimination and calibration, with a concordance index of 0.73 for predicting OS, 0.71 for DFS, 0.73 for LC and 0.67 for DMF.

Conclusion

We constructed nomograms predicting survival and patterns of failure with a special focus on regional LNM in patients with cervical cancer treated with concurrent chemoradiotherapy.

The Impact of Addition of Consolidation Chemotherapy to Standard Cisplatin-Based Chemoradiotherapy in Uterine Cervical Cancer: Matter of Distant Relapse

BACKGROUND

Treatment of advanced uterine cervical cancer has advanced little in the last 15 years. Although two phase III trials showed survival benefit with the addition of consolidation chemotherapy (CT) after cisplatin-based chemoradiotherapy (RTCT), it is not considered standard of care. We aimed to evaluate the benefit of consolidation CT compared to no additional treatment in patients treated with RTCT.

METHODS

This is a retrospective study including 186 patients with FIGO stage IB2, IIA2, or IIB to IVB (paraaortic lymph nodes only) uterine cervical cancer who were treated with standard RTCT alone or RTCT followed by consolidation CT. Overall survival (OS), progression free survival (PFS), and the risk of distant and local relapses were compared between the two treatment groups.

RESULTS

At 3 years OS was 91% versus 82.3% (p=0.027), PFS 84.3% versus 54.4% (p=0.047), and distant metastasis free survival (DMFS) 80.4% versus 62.5% (p=0.027) in favor of the consolidation CT group. Multivariate analysis confirmed the benefit of consolidation CT. There was no difference in locoregional free survival (LRFS). Positive lymph node was related to a higher risk of distant relapse. In the lymph node positive subgroup consolidation CT resulted in longer OS (p=0.050), PFS (p=0.014), and DMFS (p=0.022); in the lymph node negative subgroup there was no benefit from consolidation CT.

CONCLUSIONS

Use of consolidation CT resulted in longer OS and PFS, mostly due to control of distant relapses. Patients at higher risk of distant relapse showed the greatest benefit. This data generates a hypothesis that could help to better select patients to consolidation CT.

Risk factors for pelvic and distant recurrence in locally advanced cervical cancer

OBJECTIVE

Despite the benefits of concomitant radiotherapy and cisplatin for locally advanced cervical cancer, recurrence rates remain high. New treatment strategies such as consolidation chemotherapy and different concomitant chemotherapy combinations have been tested in recent years. Identification of the best candidates for each treatment strategy could optimize results.

STUDY DESIGN

A retrospective review of data from 127 patients with locally advanced cervical cancer (International Federation of Gynecology and Obstetrics Stages IIB-IVA), treated at a single institution from 2005 to 2014. Risk factors for loco-regional and systemic recurrence, and prognostic factors for overall survival (OS) were analysed using Cox regression. Survival of patients treated with consolidation chemotherapy was compared with survival of patients not treated with consolidation chemotherapy in the role cohort and in a propensity-score-matched cohort.

RESULTS

With a median follow-up time of 48.7 months, loco-regional-recurrence-free survival (LRFS), distant-metastasis-free survival (DMFS) and OS at 5 years were 76.6%, 54.0% and 63.0%, respectively. On multivariate analysis, tumour size ≥6 cm was associated with shorter LRFS [hazard ratio (HR) 5.18; 95% confidence interval (CI) 1.45-18.45; p = 0.011], and adenocarcinoma (HR 2.48; 95% CI 1.10-5.57; p = 0.028) and positive lymph nodes (HR 2.21; 95% CI 1.303-4.72; p = 0.041) were associated with shorter DMFS. Tumour size ≥6 cm was associated with shorter OS (HR 2.64; 95% CI 1.09-6.35; p = 0.031). Twenty-two patients were treated with consolidation chemotherapy; on univariate analysis, these patients had longer OS compared with patients who were not treated with consolidation chemotherapy (p = 0.043). In a propensity-score-matched cohort, patients treated with consolidation chemotherapy had longer DMFS and OS compared with patients who were not treated with consolidation chemotherapy, although the difference was not significant.

CONCLUSIONS

Different risk factors are associated with loco-regional and distant metastases in patients with locally advanced cervical cancer, and could potentially lead to particular therapeutic strategies. Although the number of patients treated with consolidation chemotherapy in the study cohort was small, they seemed to live longer and to have better control of distant relapse then patients who were not treated with consolidation chemotherapy.

Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy

We retrospectively reviewed the records of 142 patients with stage IB–IIIB cervical cancer who underwent ¹⁸F-FDG-PET/CT before external beam radiotherapy plus intracavitary brachytherapy and concurrent chemotherapy. The patients were divided into training and validation cohorts to confirm the reliability of predictors for recurrence. Kaplan–Meier analysis was performed and a Cox regression model was used to examine the effects of variables on overall survival (OS), progression-free survival (PFS), distant metastasis-free survival (DMFS), and pelvic relapse-free survival (PRFS). High gray-level run emphasis (HGRE) derived from gray-level run-length matrix most accurately and consistently predicted the presence of pelvic residual or recurrent tumors for both cohorts. In multivariate analysis, stages IIIA–IIIB (P = 0.001, hazard ratio [HR] = 4.07) and a low HGRE (P < 0.0001, HR = 4.34) were prognostic factors for low OS, whereas a low HGRE (P = 0.001, HR = 2.86) and nonsquamous cell histology (P = 0.003, HR = 2.76) were prognostic factors for inferior PFS. The nonsquamous cell histology (P < 0.0001, HR = 9.19) and a low HGRE (P = 0.001, HR = 4.69) were predictors for low PRFS. In cervical cancer patients receiving definitive chemoradiotherapy, pretreatment textural features on ¹⁸F-FDG-PET/CT can supplement the prognostic information.

Prognostic significance of lymph node ratio in node-positive cervical cancer patients

To determine whether the pelvic lymph node ratio (LNR) has significant prognostic value for survival and disease recurrence in node-positive, early stage cervical cancer patients.The medical records of 872 consecutive women who received postoperative adjuvant chemoradiotherapy were reviewed. Of these, 397 women with pathologically proven lymph nodal metastasis were included in this analysis and categorized into 3 groups according to their LNR: low (<0.1, n = 251), intermediate (0.1-0.4, n = 121), and high (>0.4, n = 25). The association between LNR and oncological outcome was evaluated using the Kaplan-Meier method and multivariate analysis.A total of 13,491 LNs were retrieved from 397 women, with a median harvest of 32 nodes per patient. There was a strong positive correlation between the number of metastatic LNs and LNR (r = 0.83, P < .01). With a median follow-up duration of 48 months, the 5-year overall survival (OS) and disease-free survival (DFS) rates were 73% and 67%, respectively. The OS and DFS curves among the pelvic LNR groups significantly differed: the 5-year OS rates of the low, intermediate, and high pelvic LNR groups were 83%, 66%, and 17% (P < .01), and the 5-year DFS rates were 77%, 56%, and 20% (P < .01), respectively.LNR is an important prognostic factor for survival outcomes in patients with uterine cervical cancer who underwent radical hysterectomy followed by adjuvant chemoradiotherapy.

Prognostic Value of Fluorine-18 Fluorodeoxyglucose Uptake of Bone Marrow on Positron Emission Tomography/Computed Tomography for Prediction of Disease Progression in Cervical Cancer

OBJECTIVE

This study aimed to evaluate the prognostic value of fluorine-18 fluorodeoxyglucose (FDG) uptake of bone marrow (BM) on positron emission tomography (PET)/computed tomography in patients with uterine cervical cancer.

METHODS

One hundred forty-five patients with cervical cancer who underwent staging FDG PET/computed tomography and subsequent surgical resection or chemoradiotherapy were retrospectively enrolled in the study. Mean BM FDG uptake (BM standardized uptake value [SUV]) and BM-to-liver uptake ratio of FDG uptake (BLR) were measured. Relationships of BM SUV and BLR with hematologic and inflammatory markers were evaluated. Prognostic values of PET parameters for predicting disease progression-free survival and distant recurrence-free survival (DRFS) were assessed with a Cox proportional hazards regression model.

RESULTS

Bone marrow SUV and BLR were significantly correlated with white blood cell count and neutrophil-to-lymphocyte ratio. In the multivariate Cox regression analysis, International Federation of Gynecology and Obstetrics stage (P = 0.048), neutrophil-to-lymphocyte ratio (P = 0.028), platelet-to-lymphocyte ratio (PLR; P = 0.004), maximum SUV of cervical cancer (P = 0.030), and BLR (P = 0.031) were significantly associated with progression-free survival, whereas lymph node metastasis (P = 0.041), PLR (P = 0.002), and BLR (P = 0.025) were significantly associated with DRFS. In a patient subgroup with chemoradiotherapy, BLR (P = 0.044) was still an independent prognostic factor for predicting DRFS in multivariate analysis along with PLR (P = 0.004).

CONCLUSIONS

In patients with cervical cancer, BLR is associated with an increased risk of disease progression and distant recurrence.

Prognostic models for locally advanced cervical cancer: external validation of the published models

OBJECTIVE

To externally validate the prognostic models for predicting the time-dependent outcome in patients with locally advanced cervical cancer (LACC) who were treated with concurrent chemoradiotherapy in an independent cohort.

METHODS

A historical cohort of 297 women with LACC who were treated with radical concurrent chemoradiotherapy from 1999 to 2014 at the 12 de Octubre University Hospital (H12O), Madrid, Spain. The external validity of prognostic models was quantified regarding discrimination, calibration, measures of overall performance, and decision curve analyses.

RESULTS

The review identified 8 studies containing 13 prognostic models. Different (International Federation of Gynecology and Obstetrics [FIGO] stages, parametrium involvement, hydronephrosis, location of positive nodes, and race) but related cohorts with validation cohort (5-year overall survival [OS]=70%; 5-year disease-free survival [DFS]=64%; average age of 50; and over 79% squamous cell) were evaluated. The following models exhibited good external validity in terms of discrimination and calibration but limited clinical utility: the OS model at 3 year from Kidd et al.'s study (area under the receiver operating characteristic curve [AUROC]=0.69; threshold of clinical utility [TCU] between 36% and 50%), the models of DFS at 1 year from Kidd et al.'s study (AUROC=0.64; TCU between 24% and 32%) and 2 years from Rose et al.'s study (AUROC=0.70; TCU between 19% and 58%) and the distant recurrence model at 5 years from Kang et al.'s study (AUROC=0.67; TCU between 12% and 36%).

CONCLUSION

The external validation revealed the statistical and clinical usefulness of 4 prognostic models published in the literature.

The prognostic value of dynamic contrast-enhanced MRI contrast agent transfer constant Ktrans in cervical cancer is explained by plasma flow rather than vessel permeability

BACKGROUND

The microvascular contrast agent transfer constant Ktrans has shown prognostic value in cervical cancer patients treated with chemoradiotherapy. This study aims to determine whether this is explained by the contribution to Ktrans of plasma flow (Fp), vessel permeability surface-area product (PS), or a combination of both.

METHODS

Pre-treatment dynamic contrast-enhanced MRI (DCE-MRI) data from 36 patients were analysed using the two-compartment exchange model. Estimates of Fp, PS, Ktrans, and fractional plasma and interstitial volumes (vp and ve) were made and used in univariate and multivariate survival analyses adjusting for clinicopathologic variables tumour stage, nodal status, histological subtype, patient age, tumour volume, and treatment type (chemoradiotherapy vs radiotherapy alone).

RESULTS

In univariate analyses, Fp (HR=0.25, P=0.0095) and Ktrans (HR=0.20, P=0.032) were significantly associated with disease-free survival while PS, vp and ve were not. In multivariate analyses adjusting for clinicopathologic variables, Fp and Ktrans significantly increased the accuracy of survival predictions (P=0.0089).

CONCLUSIONS

The prognostic value of Ktrans in cervical cancer patients treated with chemoradiotherapy is explained by microvascular plasma flow (Fp) rather than vessel permeability surface-area product (PS).

A postoperative scoring system for distant recurrence in node-positive cervical cancer patients after radical hysterectomy and pelvic lymph node dissection with para-aortic lymph node sampling or dissection

OBJECTIVE

To identify risk factors for distant recurrence in node-positive cervical cancer patients who underwent radical hysterectomy and pelvic lymph node dissection (PLND) with para-aortic lymph node sampling (PALNS) or para-aortic lymph node dissection (PALND).

METHODS

A total of 299 patients in whom lymph node metastasis was confirmed after radical surgery at Asan Medical Center for stage IA2 to IIB cervical cancer from February 2001 to December 2012 were identified. In all, 72 (24.1%) patients underwent PLND only and 227 (75.9%) underwent PLND with PALNS or PALND. Four patients were excluded due to diagnosed with small cell carcinoma. The clinicopathologic data of 223 patients were retrospectively analyzed. Distant recurrence was defined as recurrence at a site over the pelvic radiation field.

RESULTS

Among all 223 study patients, the mean number of positive lymph nodes was 4.46. There were 54 (24.2%) patients with distant metastasis. Multivariate analyses using the Cox proportional hazards model showed that histologic types (HR=3.031, P≤0.001 for adenocarcinoma, HR=2.302, P=0.066 for adenosquamous carcinoma), number of positive lymph nodes (HR=1.077, P≤0.001), and surgical stage (HR=1.264, P=0.022) were independent risk factors for distant recurrence of cervical cancer. A scoring system for the prediction of distant recurrence was generated by incorporating these factors and showed good discrimination and calibration (concordance index of 0.753). In an internal validation set, this scoring system showed good discrimination with a C-statistics of 0.777. According to the Hosmer-Lemeshow test, the chi-square was 0.650 and the P-value was 0.723.

CONCLUSIONS

We have developed a robust scoring system that can predict the risk of distant recurrence in node-positive cervical cancer patients after radical operation. This scoring system was used to identify a group of patients who required systemic control of distant micrometastasis. This group of patients is an appropriate target for consolidation chemotherapy after concurrent chemoradiation therapy.

Multimodality imaging of locally recurrent and metastatic cervical cancer: emphasis on histology, prognosis, and management

The management of recurrent and metastatic cervical cancer is evolving in concert with the available advanced imaging techniques and molecular targeted therapy. The purpose of this review is to provide an overview of imaging and treatment of cervical cancer patients with locoregional recurrence and metastatic disease, with emphasis on characteristic patterns of spread based on histology (squamous cell carcinoma and other subtypes), prognostic factors, diagnosis, and treatment response assessment, as well as updated therapeutic options.

Complementary Prognostic Value of Pelvic Magnetic Resonance Imaging and Whole-Body Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in the Pretreatment Assessment of Patients With Cervical Cancer

OBJECTIVE

The aim of this study was to evaluate the incremental prognostic value of pelvic magnetic resonance imaging (MRI) and whole-body F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) findings compared with clinical-histopathologic factors in patients with newly diagnosed cervical cancer.

METHODS

The institutional review board approved this retrospective study of 114 patients (median age, 40.6 years) with International Federation of Gynecology and Obstetrics (FIGO) stage I-IVB cervical cancer who underwent pretreatment MRI and PET/CT. All scans were reviewed for locoregional tumor extent, pelvic or/and para-aortic lymphadenopathy, and distant metastases. Univariate Cox proportional hazard regression was performed to evaluate associations between clinical-histopathologic factors, imaging findings, and progression-free survival (PFS). Multivariate models were built using independent predictors for PFS. Harrell C was used to measure concordance (C index).

RESULTS

Forty patients progressed within a median time of 10.4 months (range, 0.4-40.3 months). At univariate analysis, age, FIGO stage, tumor histology, tumor grade, and all MRI and PET/CT features were significantly associated with PFS (P < 0.0001 to P = 0.0474). A multivariate model including clinical and imaging parameters (parametrial invasion on MRI and para-aortic lymphadenopathy/distant metastases on PET/CT) had significantly higher concordance for predicting PFS than a model including clinical parameters only (C index: 0.81 [95% confidence interval, 0.75-0.87] vs 0.68 [95% confidence interval, 0.59-0.78]; P < 0.001). The comparison of C indices for the combined clinical and imaging model approached significance when compared with a FIGO stage model (C index: 0.81 [95% confidence interval, 0.75-0.87] vs 0.75 [95% confidence interval, 0.69-0.82]; P = 0.058).

CONCLUSIONS

In patients with newly diagnosed cervical cancer, a prognostic model including combined MRI and PET/CT findings provides information that complements clinical and histopathologic factors.

Expression of VEGF and HIF-1α in locally advanced cervical cancer: potential biomarkers for predicting preoperative radiochemotherapy sensitivity and prognosis

Locally advanced cervical cancer (LACC) is an early-stage cervical cancer characterized by a local tumor diameter of ≥4 cm. Patients with LACC have a relatively poor prognosis. Although preoperative radiochemotherapy (PRCT) might offer a valuable opportunity for subsequent radical surgery, surgeons should also consider the nonresponsive rate, the adverse effects of PRCT, and the surgical complications before designing a treatment plan. Therefore, biomarkers for predicting PRCT sensitivity and prognosis in patients with LACC are of high importance. We investigated the prognostic significance of vascular endothelial growth factor (VEGF) and hypoxia inducible factor-1α (HIF-1α) in patients with LACC. A total of 43 patients with LACC who underwent PRCT (one course each of intravenous chemotherapy and after-loading intracavitary brachytherapy followed by a radical hysterectomy) during the period 2009-2014 were included in this study. VEGF and HIF-1α expression levels were evaluated by immunohistochemistry in LACC lesions before and after PRCT. In addition, we analyzed the association of these proteins with the clinical response and pathological findings of pelvic lymph node metastasis (PLNM) after the subsequent surgery. The total clinical response rate was 81.39% after PRCT, including five complete responses and 30 partial responses. VEGF and HIF-1α expression before PRCT was significantly higher than after PRCT (VEGF: 85.71% vs 66.67%; HIF-1α: 83.33% vs 59.52%, P<0.05). In addition, the same trend was found in patients with PLNM compared to those without PLNM (VEGF: 100% vs 77.78%; HIF-1α: 100% vs 74.07%, P<0.05). The areas under the receiver operating characteristic curves were 0.896 and 0.835 when using pre-PRCT VEGF and HIF-1α expression levels, respectively, to diagnose PLNM in patients with LACC. Serial detection of VEGF and HIF-1α demonstrated a sensitivity of 66.67% and specificity of 88.89%. These findings suggest that VEGF and HIF-1α expressions are potential biomarkers for PRCT and have great clinical significance for the prediction of PRCT response and prognosis in patients with LACC.

A nomogram predicting the risks of distant metastasis following postoperative radiotherapy for uterine cervical carcinoma: a Korean radiation oncology group study (KROG 12-08)

PURPOSE

To develop a nomogram predicting the risks of distant metastasis following postoperative adjuvant radiation therapy for early stage cervical cancer.

MATERIALS AND METHODS

We reviewed the medical records of 1069 patients from ten participating institutions. Patients were divided into two cohorts: a training set (n=748) and a validation set (n=321). The demographic, clinical, and pathological variables were included in the univariate Cox proportional hazards analysis. Clinically established and statistically significant prognostic variables were utilized to develop a nomogram.

RESULTS

The model was constructed using four variables: histologic type, pelvic lymph node involvement, depth of stromal invasion, and parametrial invasion. This model demonstrated good calibration and discrimination, with an internally validated concordance index of 0.71 and an externally validated c-index of 0.65. Compared to FIGO staging, which showed a broad range in terms of distant metastasis, the developed nomogram can accurately predict individualized risks based on individual risk factors.

CONCLUSIONS

The devised model offers a significantly accurate level of prediction and discrimination. In clinical practice it could be useful for counseling patients and selecting the patient group who could benefit from more intensive/further chemotherapy, once validated in a prospective patient cohort.

Clinical efficacy of alternating chemoradiotherapy by conformal radiotherapy combined with intracavitary brachytherapy for high-risk cervical cancer

OBJECTIVE

The purpose of this study was to assess the outcome of alternating chemoradiotherapy in patients with high-risk cervical cancer.

METHODS

We performed definitive alternating chemoradiotherapy in cervical cancer patients with at least one high-risk factor such as International Federation of Gynecology and Obstetrics III or IVA disease, primary tumor diameter ≥50 mm, positive pelvic node, and positive para-aortic node. Our chemoradiotherapy protocol was as follows: (i) alternating chemoradiotherapy with 5-fluorouracil and nedaplatin; (ii) whole pelvic radiotherapy with the dynamic conformal technique combined with intracavitary brachytherapy; (iii) prophylactic irradiation to the para-aortic region for International Federation of Gynecology and Obstetrics III/IVA or positive pelvic node and full-dose radiotherapy for positive para-aortic node. Between 1998 and 2010, 121 patients were treated with this protocol.

RESULTS

The median follow-up period was 53.7 months (7.6-162.2). International Federation of Gynecology and Obstetrics stages were IB; (9.1%), IIA; 6 (5.0%), IIB; 53 (43.8%), IIIA; 7 (5.8%), IIIB; 37 (30.6%) and IVA; 7 (5.8%), respectively. Nodal involvement was reported in 77 patients (63.6%) at the pelvis and 25 (20.7%) at the para-aortic region. The 5-year overall survival and progression-free survival rates were 80.0 and 63.4%, respectively. Regarding Grade ≥3 late toxicities, three patients developed urinary and three developed intestinal toxicities. We encountered no treatment-related death.

CONCLUSIONS

The clinical results of our alternating chemoradiotherapy protocol for high-risk cervical cancer are promising.

Individualized prediction of overall survival after postoperative radiation therapy in patients with early-stage cervical cancer: a Korean Radiation Oncology Group study (KROG 13-03)

PURPOSE

A nomogram is a predictive statistical model that generates the continuous probability of a clinical event such as death or recurrence. The aim of the study was to construct a nomogram to predict 5-year overall survival after postoperative radiation therapy for stage IB to IIA cervical cancer.

METHODS AND MATERIALS

The clinical data from 1702 patients with early-stage cervical cancer, treated at 10 participating hospitals from 1990 to 2011, were reviewed to develop a prediction nomogram based on the Cox proportional hazards model. Demographic, clinical, and pathologic variables were included and analyzed to formulate the nomogram. The discrimination and calibration power of the model was measured using a concordance index (c-index) and calibration curve.

RESULTS

The median follow-up period for surviving patients was 75.6 months, and the 5-year overall survival probability was 87.1%. The final model was constructed using the following variables: age, number of positive pelvic lymph nodes, parametrial invasion, lymphovascular invasion, and the use of concurrent chemotherapy. The nomogram predicted the 5-year overall survival with a c-index of 0.69, which was superior to the predictive power of the International Federation of Gynecology and Obstetrics (FIGO) staging system (c-index of 0.54).

CONCLUSIONS

A survival-predicting nomogram that offers an accurate level of prediction and discrimination was developed based on a large multi-center study. The model may be more useful than the FIGO staging system for counseling individual patients regarding prognosis.

Analysis of 30 patients with persistent or recurrent squamous cell carcinoma of the cervix within one year after concurrent chemoradiotherapy

OBJECTIVE

To investigate the recurrence sites, risk factors, and prognosis of patients with persistent or recurrent squamous cell carcinoma (SCC) of the cervix within one year after undergoing concurrent chemoradiotherapy (CCRT).

METHODS

Clinical data of 30 patients with persistent or recurrent SCC of the cervix within one year after CCRT between July 2006 and July 2011 were analyzed retrospectively. These data were compared with those of 35 SCC cases with no signs of recurrence after complete remission. These 35 patients were treated during the same period (between 2006 and 2011) and selected randomly.

RESULTS

Among these 30 patients, 25 exhibited distant metastases of which 14 were observed within 6 months after CCRT. Univariate analysis showed higher incidence of pelvic or para-aortic lymphadenectasis and SCC-ag >10 ng/mL in the group with persistent or recurrent disease before treatment (P<0.01). Multivariate analysis by logistic regression revealed that the pre-therapeutic pelvic or para-aortic lymph node enlargement and SCC-ag >10 ng/mL were the independent risk factors. Palliative chemotherapy was the main treatment option for patients with persistent or recurrent disease. The 2-year survival rate was 21.7%, and the median survival time was 17 months.

CONCLUSION

Patients with persistent or recurrent SCC of the cervix after CCRT exhibited a high rate of distant metastasis with poor prognosis. The pre-therapeutic pelvic or para-aortic lymph node enlargement and SCC-ag >10 ng/mL were identified as the independent risk factors for persistent or recurrent SCC within 1 year after CCRT.

Development and validation of a prognostic model in patients with metastatic renal cell carcinoma treated with sunitinib: a European collaboration

BACKGROUND

Accurate prediction of outcome for metastatic renal cell carcinoma (mRCC) patients receiving targeted therapy is essential. Most of the available models have been developed in patients treated with cytokines, while most of them are fairly complex, including at least five factors. We developed and externally validated a simple model for overall survival (OS) in mRCC. We also studied the recently validated International Database Consortium (IDC) model in our data sets.

METHODS

The development cohort included 170 mRCC patients treated with sunitinib. The final prognostic model was selected by uni- and multivariate Cox regression analyses. Risk groups were defined by the number of risk factors and by the 25th and 75th percentiles of the model's prognostic index distribution. The model was validated using an independent data set of 266 mRCC patients (validation cohort) treated with the same agent.

RESULTS

Eastern Co-operative Oncology Group (ECOG) performance status (PS), time from diagnosis of RCC and number of metastatic sites were included in the final model. Median OS of patients with 1, 2 and 3 risk factors were: 24.7, 12.8 and 5.9 months, respectively, whereas median OS was not reached for patients with 0 risk factors. Concordance (C) index for internal validation was 0.712, whereas C-index for external validation was 0.634, due to differences in survival especially in poor-risk populations between the two cohorts. Predictive performance of the model was improved after recalibration. Application of the mRCC International Database Consortium (IDC) model resulted in a C-index of 0.574 in the development and 0.576 in the validation cohorts (lower than those recently reported for this model). Predictive ability was also improved after recalibration in this analysis. Risk stratification according to IDC model showed more similar outcomes across the development and validation cohorts compared with our model.

CONCLUSION

Our model provides a simple prognostic tool in mRCC patients treated with a targeted agent. It had similar performance with the IDC model, which, however, produced more consistent survival results across the development and validation cohorts. The predictive ability of both models was lower than that suggested by internal validation (our model) or recent published data (IDC model), due to differences between observed and predicted survival among intermediate and poor-risk patients. Our results highlight the importance of external validation and the need for further refinement of existing prognostic models.