Efficacy and safety of bevacizumab in neoadjuvant and concurrent chemoradiotherapy for refractory cervical cancer patients.

A platinum-based concurrent chemoradiotherapy (CCRT) is the standard treatment for refractory cervical cancer (CC). However, the recurrence of disease and the occurrence of metastasis remain prevalent. We observed the long-term efficacy and safety of bevacizumab combined with neoadjuvant chemotherapy (NACT) and CCRT in refractory CC. A total of 62 patients with refractory CC were enrolled in this study from January 2016 to December 2019. The NACT regimen included bevacizumab (7.5 mg/kg), docetaxel (75 mg/m2), and cisplatin (75 mg/m2), administered tri-weekly for 2 cycles. The CCRT regimen included bevacizumab (7.5 mg/kg) and cisplatin (75 mg/m2), administered tri-weekly for 2 cycles. A dose of 45-50 Gy was prescribed for external beam radiotherapy (EBRT), while 30-35 Gy in 4-5 fractions was prescribed for brachytherapy (BT). Among the patients, 21 patients (33.9%) were at stages IIB-IIIB, 8 patients (12.9%) were at stage IIIC1, 19 patients (30.6%) were at stage IIIC2, and 14 patients (22.6%) were at stage IVB. Pelvic, para-aortic, supraclavicular, and inguinal lymph node metastases were discovered in 41 patients (66.1%). The median follow-up was 49.8 months (12.3-82.7 months). The median tumor volumes pre-treatment, after NACT, and before BT were 84.64 ± 53.15 cm3, 1.64 ± 13.15 cm3, and 0 ± 1.5 cm3, respectively. Complete clinical response (cCR) rates after NACT and EBRT were 35.5% and 66.1%, respectively. Four years after the diagnosis, the overall survival (OS) rate was 78.6%, the local region-free survival (LRFS) rate was 91.3%, the disease-free survival (DFS) rate was 70.6%, and the distant metastasis-free survival (DMFS) rate was 81.4%. A total of 29 patients (46.8%) experienced grade 3/4 hematological toxicity, 3 patients (4.8%) experienced grade 3 gastrointestinal toxicities, and none experienced grade 5 adverse events. Bevacizumab combined with NACT and CCRT significantly improved cCR and OS in refractory CC with acceptable toxicity.

A survey on brachytherapy training of gynecological cancer focusing on the competence of residents in China.

BACKGROUND: The brachytherapy is an indispensable treatment for gynecological tumors, but the quality and efficiency of brachytherapy training for residents is still unclear. METHODS: An anonymous questionnaire was designed to collect information on gynecological brachytherapy (GBT) training for radiation oncology residents from 28 training bases in China. The questionnaire content was designed based on the principle of competency based medical education (CBME). The Likert scale was employed to evaluate self-reported competence and comprehension regarding GBT. A total of 132 senior residents were included in the final analysis. RESULTS: 53.79% (71/132) of senior residents had experience in performing image-guided GBT, whereas 76.52% (101/132) had observed the procedure during their standardized residency training. The proportion of senior residents who reported having the self-reported competence to independently complete the GBT was 78.03% for intracavity GBT, 75.00% for vaginal stump GBT, and 50.03% for interstitial GBT, respectively. The number of successful completion of Interstitial, intracavity and vaginal GBT was correlated with the self- confidence of trainees after standardized training. In particular, the independent completion of interstitial GBT for more than 20 cases was an independent factor for the self-reported competence of senior residents. During the training period, 50.76% and 56.82% of the residents had not participated in the specialized examinations and professional GBT courses. CONCLUSIONS: The study revealed that the self-confidence of residents to independently complete brachytherapy was relatively high, and the specialized curriculum setting and training process assessment for brachytherapy training still need to be strengthened in the future.

Efficacy and safety of PEG-rhG-CSF in preventing chemoradiotherapy-induced neutropenia in patients with locally advanced cervical cancer.

The standard of care for locally advanced cervical cancer is concurrent chemoradiotherapy, which is associated with significant toxicity, especially hematologic toxicity. To evaluate the efficacy and safety of pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) in preventing neutropenia during radical chemoradiotherapy for cervical cancer, 40 patients receiving prophylaxis from February 2018 to July 2019 were randomly divided into two arms in a 1:1 ratio. Patients in the study arm (N = 21) received PEG-rhG-CSF, while patients in the control arm (N = 19) received short-acting rhG-CSF. The primary endpoint was the incidence of grade 3-4 neutropenia, and the secondary endpoints were the incidence of febrile neutropenia, chemotherapy delay, and radiotherapy interruption. In addition, dynamic changes in absolute neutrophil count during radical chemoradiotherapy and adverse events were compared between the two groups. There were 0 and 4 cycles of grade 3-4 neutropenia in the PEG-rhG-CSF and rhG-CSF groups, respectively. The incidence of neutropenia of all grades was lower in patients on PEG-rhG-CSF than on rhG-CSF [24.05% (19/79) vs. 56.94% (41/72); p < 0.001]. No patient developed neutropenic fever. The lowest values of neutropenia during concurrent chemoradiotherapy cycles were 2.73 ± 1.02 and 1.91 ± 0.79 × 10 9/ml in the PEG-rhG-CSF and rhG-CSF groups, respectively (p < 0.001). In the PEG-rhG-CSF and rhG-CSF groups, 0 and 8 (11.11%) cycles of chemotherapy were delayed due to neutropenia, respectively (p = 0.01). There was no delay of radiotherapy by more than one week in either group. Prophylactic use of PEG-rhG-CSF during chemoradiotherapy for cervical cancer can effectively prevent neutropenia and associated adverse events. PEG-rhG-CSF may be an effective strategy to provide uninterrupted radical chemoradiotherapy for cervical cancer.

Automated Prediction of Neoadjuvant Chemoradiotherapy Response in Locally Advanced Cervical Cancer Using Hybrid Model-Based MRI Radiomics.

BACKGROUND: This study aimed to develop a model that automatically predicts the neoadjuvant chemoradiotherapy (nCRT) response for patients with locally advanced cervical cancer (LACC) based on T2-weighted MR images and clinical parameters. METHODS: A total of 138 patients were enrolled, and T2-weighted MR images and clinical information of the patients before treatment were collected. Clinical information included age, stage, pathological type, squamous cell carcinoma (SCC) level, and lymph node status. A hybrid model extracted the domain-specific features from the computational radiomics system, the abstract features from the deep learning network, and the clinical parameters. Then, it employed an ensemble learning classifier weighted by logistic regression (LR) classifier, support vector machine (SVM) classifier, K-Nearest Neighbor (KNN) classifier, and Bayesian classifier to predict the pathologic complete response (pCR). The area under the receiver operating characteristics curve (AUC), accuracy (ACC), true positive rate (TPR), true negative rate (TNR), and precision were used as evaluation metrics. RESULTS: Among the 138 LACC patients, 74 were in the pCR group, and 64 were in the non-pCR group. There was no significant difference between the two cohorts in terms of tumor diameter (p = 0.787), lymph node (p = 0.068), and stage before radiotherapy (p = 0.846), respectively. The 109-dimension domain features and 1472-dimension abstract features from MRI images were used to form a hybrid model. The average AUC, ACC, TPR, TNR, and precision of the proposed hybrid model were about 0.80, 0.71, 0.75, 0.66, and 0.71, while the AUC values of using clinical parameters, domain-specific features, and abstract features alone were 0.61, 0.67 and 0.76, respectively. The AUC value of the model without an ensemble learning classifier was 0.76. CONCLUSIONS: The proposed hybrid model can predict the radiotherapy response of patients with LACC, which might help radiation oncologists create personalized treatment plans for patients.