Adjuvant chemotherapy after radiotherapy or concurrent chemoradiotherapy for pelvic lymph node-positive patients with locally advanced cervical cancer: a propensity score matching analysis

Radiomics feature is a risk factor for locally advanced cervical cancer treated using concurrent chemoradiotherapy based on magnetic resonance imaging: a retrospective study

BACKGROUND

Although concurrent chemoradiotherapy (CCRT) is the standard treatment strategy for locally advanced cervical squamous carcinoma (LACSC), there are still individual differences. It is of vital importance to establish a radiomics-based model for predicting overall survival (OS) of LACSC patients treated using CCRT, and evaluating the feasibility of adjuvant chemotherapy (ACT).

METHODS

122 LACSC patients were retrospectively analyzed who underwent pelvic MRI before standard CCRT between January 2013 and September 2016, including 85 patients in training set and 37 patients in testing set. 3D Slicer was used to segment images and extract features. IPMs software was used to select features and construct radscore. We selected the group with the largest area under the curves as the best result from 150 feature subsets and corresponding radscore. A nomogram was established using univariate and multivariate Cox analyses. We used Shapley Additive Explanations (SHAP) for further interpretation of the nomogram. Kaplan-Meier curves demonstrated the associations of radscore and clinical characteristics with OS and ACT.

RESULTS

Radscore was a prognostic factor (P = 0.001) which constructed using 10 radiomics features influencing the OS of patients with LACSC treated using CCRT. The radiomics-clinical model estimated OS (training, C-index: 0.761; testing, C-index: 0.718) more accurately than the clinical (training, C-index: 0.745; testing, C-index: 0.708) and radiomics models (training, C-index: 0.702; testing, C-index: 0.671). Radscore has the greatest impact on the prognosis of LACSC patients. We combined radscore and clinical factors to obtain risk scores. There was a better OS rate among low-risk patients than among high-risk patients (training, P = 0.034; testing, P = 0.003). Compared with CCRT, ACT + CCRT did not improve prognosis (high-risk patients, P = 0.703; all patients, P = 0.425).

CONCLUSIONS

Radscore independently predicted OS in LACSC. The radiomics-clinical nomogram improved individualized OS estimation. Patients did not benefit from ACT.

Clinical practice guidelines for cervical cancer: the Korean Society of Gynecologic Oncology guidelines

This fifth revised version of the Korean Society of Gynecologic Oncology practice guidelines for the management of cervical cancer incorporates recent research findings and changes in treatment strategies based on version 4.0 released in 2020. Each key question was developed by focusing on recent notable insights and crucial contemporary issues in the field of cervical cancer. These questions were evaluated for their significance and impact on the current treatment and were finalized through voting by the development committee. The selected key questions were as follows: the efficacy and safety of immune checkpoint inhibitors as first- or second-line treatment for recurrent or metastatic cervical cancer; the oncologic safety of minimally invasive radical hysterectomy in early stage cervical cancer; the efficacy and safety of adjuvant systemic treatment after concurrent chemoradiotherapy in locally advanced cervical cancer; and the oncologic safety of sentinel lymph node mapping compared to pelvic lymph node dissection. The recommendations, directions, and strengths of this guideline were based on systematic reviews and meta-analyses, and were finally confirmed through public hearings and external reviews. In this study, we describe the revised practice guidelines for the management of cervical cancer.

Efficacy of treatment patterns based on concurrent chemoradiotherapy in patients with stage IIB cervical squamous cell carcinoma

PURPOSE

To assess survival of treatment patterns based on concurrent chemoradiotherapy (CCRT) in patients with stage IIB cervical squamous cell carcinoma (CSCC).

MATERIALS AND METHODS

Patients with stage IIB CSCC receiving CCRT were investigated from June 2012 to June 2019 in Guangxi Medical University Cancer Hospital. Baseline characteristics and treatment patterns were described. Survival between treatment patterns were compared using Kaplan-Meier methods.

RESULTS

A total of 232 patients were included: 39.7% of patients received CCRT alone, 6.5% of patients received neoadjuvant chemotherapy (NACT) + CCRT, 45.6% of patients received CCRT + adjuvant chemotherapy (AC), and 8.2% of patients received NACT + CCRT + AC. CCRT + AC showed similar overall survival (OS; hazard ratio [HR] = 0.95, 95% confidence interval [CI]: 0.41-2.17; P = 0.894) and locoregional-free survival (LRFS; HR = 2.39, 95% CI: 0.45-12.63; P = 0.303) compared with CCRT. However, CCRT + AC had a worse distant metastasis-free survival (DMFS; HR = 5.39, 95% CI: 1.14-25.57; P = 0.034). After propensity score matching, CCRT + AC had comparable OS (HR = 0.89, 95% CI: 0.29-2.70; P = 0.833), LRFS (HR = 3.26, 95% CI: 0.30-35.38; P = 0.331), and DMFS (HR = 4.80, 95% CI: 0.55-42.26; P = 0.157) compared to CCRT.

CONCLUSION

AC did not improve survival in patients with stage IIB CSCC receiving CCRT.

Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images

BACKGROUND

Lymph node metastasis (LNM) significantly impacts the prognosis of individuals diagnosed with cervical cancer, as it is closely linked to disease recurrence and mortality, thereby impacting therapeutic schedule choices for patients. However, accurately predicting LNM prior to treatment remains challenging. Consequently, this study seeks to utilize digital pathological features extracted from histopathological slides of primary cervical cancer patients to preoperatively predict the presence of LNM.

METHODS

A deep learning (DL) model was trained using the Vision transformer (ViT) and recurrent neural network (RNN) frameworks to predict LNM. This prediction was based on the analysis of 554 histopathological whole-slide images (WSIs) obtained from Qilu Hospital of Shandong University. To validate the model's performance, an external test was conducted using 336 WSIs from four other hospitals. Additionally, the efficiency of the DL model was evaluated using 190 cervical biopsies WSIs in a prospective set.

RESULTS

In the internal test set, our DL model achieved an area under the curve (AUC) of 0.919, with sensitivity and specificity values of 0.923 and 0.905, respectively, and an accuracy (ACC) of 0.909. The performance of the DL model remained strong in the external test set. In the prospective cohort, the AUC was 0.91, and the ACC was 0.895. Additionally, the DL model exhibited higher accuracy compared to imaging examination in the evaluation of LNM. By utilizing the transformer visualization method, we generated a heatmap that illustrates the local pathological features in primary lesions relevant to LNM.

CONCLUSION

DL-based image analysis has demonstrated efficiency in predicting LNM in early operable cervical cancer through the utilization of biopsies WSI. This approach has the potential to enhance therapeutic decision-making for patients diagnosed with cervical cancer.

The Therapeutic Value of Adjuvant Chemotherapy after Concurrent Chemoradiotherapy for Locally Advanced Cervical Cancer

OBJECTIVE

The aim of this study was to evaluate the therapeutic value and treatment-related complications of adjuvant chemotherapy after concurrent chemoradiotherapy (CCRT) for locally advanced cervical cancer (LACC).

DESIGN

The medical records of LACC patients who underwent CCRT were reviewed retrospectively.

METHODS

A total of 1,138 patients with LACC who had been treated at our hospital between January 2013 and December 2017 were included in the study and classified into two groups: the CCRT group, comprising 726 patients who had received only CCRT, and the CCRT + adjuvant chemotherapy (ACT) group, comprising 412 patients who had received three cycles of adjuvant chemotherapy after CCRT. 39 patients in the CCRT group and 50 patients in the CCRT + ACT group had undergone lymphadenectomy, which revealed pathology-positive lymph nodes in 22 patients and 35 patients, respectively. Progression-free survival (PFS), overall survival (OS), and adverse events were compared.

RESULTS

The median follow-up time was 61 months (range: 2-96 months). No significant differences in PFS and OS were found between the two groups (p > 0.05), but more grade 3-4 acute hematologic toxicities were observed in the CCRT + ACT group than in the CCRT group (24.8% vs. 31.8%, p = 0.01). A subgroup analysis of patients with pathology-positive lymph nodes showed that the 5-year PFS and OS rates were 76.5% and 74.9%, respectively, for the CCRT + ACT group and 45.0% and 49.2%, respectively, for the CCRT group; the differences were statistically significant (p = 0.015 and 0.042, respectively).

LIMITATIONS

First, the sample size of the subgroup of patients with pathology-positive lymph nodes was too small for a confirmative conclusion. The heterogeneous population and the selection bias resulting from the retrospective design were the other flaws of our study.

CONCLUSION

The application of adjuvant chemotherapy after CCRT may be worth investigating further for women with LACC and pathology-positive lymph nodes, but this approach is associated with an increase in acute hematology toxicities.

Efficacy and safety of adjuvant chemotherapy for locally advanced cervical cancer: A systematic review and meta-analysis

BACKGROUND

Locally advanced cervical cancer (LACC) is generally treated using concurrent chemo-radiotherapy (CCRT); yet, the effectiveness of adjuvant chemotherapy (ACT) following CCRT remains controversial.

METHODS

The databases Embase, Web of Science, and PubMed were analyzed for relevant research. Primary endpoints included overall survival (OS) and progression-free survival (PFS).

RESULTS

Fifteen trials with 4041 patients were included. Pooled HRs for PFS and OS were 0.81 (95 % CI: 0.67-0.96) and 0.69 (95 % CI: 0.51-0.93), respectively. However, subgroup analyses indicated that in randomized trials and trials with larger sample sizes (n > 100) as well as ACT cycles ≤ 3, ACT was not linked with improved PFS and OS. Moreover, ACT induced a greater rate of hematologic toxicities (P < 0.05).

CONCLUSION

Higher quality of evidence suggests that ACT could not yield additional survival benefits for LACC; however, identifying high-risk patients who may benefit from ACT is required to design further clinical trials and better inform treatment decisions.

Establishment of a risk stratification model based on the combination of post-treatment serum squamous cell carcinoma antigen levels and FIGO stage of cervical cancer for treatment and surveillance decision-making

OBJECTIVE

To develop a risk stratification model based on the International Federation of Gynecology and Obstetrics (FIGO) staging combined with squamous cell carcinoma antigen (SCC-Ag) for the classification of patients with cervical squamous cell carcinoma (CSCC) into different risk groups.

METHODS

We retrospectively reviewed the data of 664 women with stage IIA-IVB CSCC according to the 2018 FIGO staging system who received definitive radiotherapy from March 2013 to December 2017 at the department of radiation oncology of Sun Yat-sen University Cancer Center. Cutoff values for continuous variables were estimated using receiver operating characteristic curve analysis. Using recursive partitioning analysis (RPA) modeling, overall survival was predicted based on the prognostic factors determined via Cox regression analysis. The predictive performance of the RPA model was assessed using the consistency index (C-index). Intergroup survival differences were determined and compared using Kaplan-Meier analysis and the log-rank test.

RESULTS

Multivariate Cox regression analysis identified post-treatment SCC-Ag (< 1.35 ng/mL and > 1.35 ng/mL; hazard ratio (HR), 4.000; 95% confidence interval (CI), 2.911-5.496; P < 0.0001) and FIGO stage (II, III, and IV; HR, 2.582, 95% CI, 1.947-3.426; P < 0.0001) as the independent outcome predictors for overall survival. The RPA model based on the above prognostic factors divided the patients into high-, intermediate-, and low-risk groups. Significant differences in overall survival were observed among the three groups (5-year overall survival: low vs. intermediate vs. high, 91.3% vs. 76.7% vs. 29.5%, P < 0.0001). The predictive performance of the RPA model (C-index, 0.732; 95% CI, 0.701-0.763) was prominently superior to that of post-treatment SCC-Ag (C-index, 0.668; 95% CI, 0.635-0.702; P < 0.0001) and FIGO stage (C-index, 0.663; 95% CI, 0.631-0.695; P < 0.0001).

CONCLUSIONS

The RPA model based on FIGO staging and post-treatment SCC-Ag can predict the overall survival of patients with CSCC, thereby providing a guide for the formulation of risk-adaptive treatment and individualized follow-up strategies.

Relative importance of individual insurance status and hospital payer mix on survival for women with cervical cancer

OBJECTIVE

To assess the relative contributions of individual insurance status and hospital payer mix (safety net status) to quality of care and survival for patients with cervical cancer.

METHODS

We used the National Cancer Database to identify patients with cervical cancer diagnosed from 2004 to 2017. Patients were classified by insurance (uninsured/Medicaid/private/Medicare/other) and hospitals were grouped into quartiles based on the proportion of uninsured/Medicaid patients (payer mix) (top quartile defined as safety-net hospital (SNHs) and lowest as Q1 hospitals). Quality-of-care was assessed by adherence to evidence-based metrics. Individual contributions of insurance status and payer mix to survival was assessed with a proportional hazards Cox model.

RESULTS

A total of 124,339 patients including 11,338 uninsured (9.1%) and 27,281 Medicaid (21.9%) recipients treated at 1156 hospitals were identified. Quality-of-care was not significantly different across hospital quartiles. Adjusting for patients' clinical/demographic characteristics, treatment at a SNH was associated with a 14% higher mortality (HR = 1.14; 95% CL, 1.08-1.20) than at Q1 hospitals. Testing for individual insurance, uninsured patients had 32% increased mortality (HR = 1.32; 95% CI,1.26-1.38) and Medicaid recipients 40% increased (HR = 1.40; 95%CI,1.35-1.44) compared to privately insured patients. Examining both payer mix and insurance, only individual insurance retained a significant impact on mortality.

CONCLUSIONS

Individual insurance may be a more important predictor of survival than site-of-care and hospital payer mix for women with cervical cancer. There is substantial variation in outcomes within hospitals based on individual insurance, regardless of hospital payer mix.

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.

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.

Impact of lymph node ratio in patients with stage IIIC endometrial carcinoma treated with postoperative radiotherapy

Aim: To evaluate the prognostic value of the lymph node ratio (LNR) and other clinicopathological factors in patients with stage IIIC endometrial cancer. Methods: Factors affecting overall survival (OS) and progression-free survival (PFS) were assessed in 397 patients with stage IIIC endometrial cancer treated with postoperative radiotherapy. Patients undergoing the removal of at least ten lymph nodes were included in the study. Results: The 5-year OS and PFS rates were 58% and 52%, respectively, with a median follow-up time of 35.7 months. The LNR cutoff value was 9.6%. In the multivariate analysis, advanced age (≥60 years), grade III tumor, presence of cervical stromal invasion, higher LNR and lack of adjuvant chemotherapy were independent predictors for worse OS and PFS. Conclusion: The LNR is an independent predictor for OS and PFS in patients with stage IIIC endometrial cancer treated with postoperative radiotherapy.

Clinicopathological characteristics and prognostic factors of cervical adenocarcinoma

We aimed to assess the clinicopathological features and to determine the prognostic factors of cervical adenocarcinoma (AC). Relevant data were extracted from surveillance, epidemiology and end results database from 2004 to 2015. The log-rank test and Cox proportional hazard analysis were subsequently utilized to identify independent prognostic factors. A total of 3102 patients were identified. The enrolled patients were characterized by higher proportion of early FIGO stage (stage I: 65.9%; stage II: 14.1%), low pathological grade (grade I/II: 49.1%) and tumor size ≤ 4 cm (46.8%). The 5- and 10-year cancer-specific survival rates of these patients were 74.47% and 70.00%, respectively. Meanwhile, the 5- and 10-year overall survival (OS) rates were 71.52% and 65.17%, respectively. Multivariate analysis revealed that married status, surgery as well as chemotherapy were independent favorable prognostic indicators. Additionally, aged > 45, tumor grade III/IV, tumor size > 4 cm, advanced FIGO stage and pelvic lymph node metastasis (LNM) were unfavorable prognostic factors (all P < 0.01). Stratified analysis found that patients without surgery could significantly benefit from chemotherapy and radiotherapy. In addition, chemotherapy could significantly improve the survival in stage II–IV patients and radiotherapy could only improve the survival in stage III patients (all P < 0.01). Marital status, age, grade, tumor size, FIGO stage, surgery, pelvic LNM and chemotherapy were significantly associated with the prognosis of cervical AC.

A Multi-Institutional Retrospective Analysis of Oncologic Outcomes for Patients With Locally Advanced Cervical Cancer Undergoing Platinum-Based Adjuvant Chemotherapy After Concurrent Chemoradiotherapy

Objective:

To evaluated the oncologic outcomes associated with platinum-based adjuvant chemotherapy following concurrent chemoradiotherapy (CCRT) in the management of patients with locally advanced cervical cancer (LACC).

Methods:

A total of 695 patients with FIGO stage IB2, IIA2, IIB-IVA LACC treated at 6 medical facilities were enrolled and divided into 2 groups: 478 were assigned to CCRT alone (CCRT group) and 217 to adjuvant chemotherapy after CCRT (CCRT-ACT group). The treatment outcomes were retrospectively compared and reported after the propensity score matching (PSM) analysis.

Results:

With a median follow-up of 56.4 months, no statistically significant differences were found in overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and distance metastasis-free survival (DMFS) between 2 groups. In CCRT-ACT group, patients with lymph nodes involvement or squamous cell carcinoma (SCC) had significantly longer DMFS, but no significant benefit in survival outcomes were observed with more than 2 cycles of adjuvant chemotherapy. Moreover, patients with a high level of CA125 (>20.5U/mL) or SCC-Ag (>22.8μg/L) had a relatively better DFS or PFS, and grade 3-4 acute hematological toxicity, late urinary and lower gastrointestinal complications and diarrhea symptom were more frequent in CCRT-ACT group.

Conclusions:

Adjuvant chemotherapy after CCRT has a potential role in further improving disease control for LACC patients with lymph nodal-metastasis or SCC with a high level of CA125 or SCC-Ag. Due to increased treatment-related complications and diarrhea symptom affecting the quality of life, post-CCRT adjuvant chemotherapy with excessive cycles was not be considered as the most appropriate choice in general.