Young Cervical Cancer Patients May Be More Responsive than Older Patients to Neoadjuvant Chemotherapy Followed by Radical Surgery

Successful neoadjuvant chemotherapy plus sintilimab for locally advanced cervical cancer: case series and review of the literature

BACKGROUND

The locally advanced cervical cancer (LACC) of FIGO stage IB3-IIA2 is characterized by large local mass, poor prognosis and survival rate. Tumor response to neoadjuvant chemotherapy for LACC, utilized as a surrogate endpoint, is urgently needed to improve. Given that the antitumor immune response can be suppressed by programed death-1 axis, the treatment paradigm of neoadjuvant chemotherapy combined with immunotherapy has been explored as one of the prognostic treatments in a variety of solid carcinoma. So far, the application of sintilimab, a domestic immune checkpoint inhibitor, combined with neoadjuvant chemotherapy is still limited in LACC, especially in large lesions.

CASE DESCRIPTION

We present three postmenopausal women diagnosed with FIGO stage IB3-IIA2 cervical squamous cell carcinoma with lesions larger than 5 cm. Demographic, clinical, histopathological, laboratory and imaging data were record. At the completion of the neoadjuvant therapy with paclitaxel plus carboplatin combined with sintilimab, all patients underwent hysterectomy. After neoadjuvant treatment, a pathologic complete response in case 1 and partial responses in case 2 and case 3 were achieved, and neither patient showed any relapse during the follow-up period of 16 to 22 months.

CONCLUSIONS

This report provide evidence to support the combination of sintilimab with neoadjuvant chemotherapy in cervical cancer, which has yet to be validated in prospective studies. More clinical data are needed to verify the effectiveness of the combined regimens. This literature review also collected studies involving potential predictors of response to NACT and immunotherapy, which would be helpful in stratifying patients for future trials.

Risk factors for additional postoperative adjuvant therapy in patients with locally advanced cervical cancer and construction of a risk model

OBJECTIVE

To investigate the influencing factors of postoperative adjuvant therapy for stage IB1-IIA2 cervical cancer, and establish a nomogram model to predict the risk of postoperative adjuvant therapy for locally advanced cervical cancer (LACC).

METHODS

A retrospective analysis was conducted on 144 patients with stage IB1-IIA2 cervical squamous cell carcinoma treated in Wuhan No.1 Hospital from June 2015 to January 2017, and their clinical data were analyzed. The clinical application value of the nomogram risk model was evaluated by receiver operating characteristic curve (ROC).

RESULTS

Through logistic regression analysis, we found that squamous cell carcinoma antigen (SCC-Ag), International Federation of Gynecology and Obstetrics (FIGO) stage ≥ IIA1, and laparoscopic surgery were independent influencing factors for additional adjuvant therapy after laparoscopic surgery. The nomogram model for predicting the risk of postoperative adjuvant therapy for cervical cancer constructed according to the selected variables had good predictive performance (with C-index of 0.798) and conformity. The area under the curve of established model in predicting 1-, 3- and 5-year survival time was 0.730, 0.810 and 0.830, respectively, indicating that the model has good performance.

CONCLUSION

History of diabetes, tumor size, FIGO stage ≥ IIA1, and SCC-Ag >1.5 are independent influencing factors for additional adjuvant therapy after laparoscopic surgery of LACC patients. In addition, the constructed risk model is effective in predicting the postoperative risk of additional adjuvant therapy, which is expected to provide a reference for clinical treatment selection.

Concurrent chemoradiotherapy followed by adjuvant chemotherapy versus concurrent chemoradiotherapy alone in locally advanced cervical cancer: A systematic review and meta-analysis

OBJECTIVE

This study aimed to assess the efficacy and safety of adjuvant chemotherapy (ACT) after concurrent chemoradiation (CCRT) in patients with locally advanced cervical cancer (LACC) via meta-analysis.

METHODS

A systematic literature search of MEDLINE, PubMed, Web of Science, EMBASE, and the Cochrane Central Register of Controlled Trials was conducted from January 10, 1966 to May 20, 2022. Randomized controlled trials and observational studies comparing the CCRT alone with CCRT plus ACT were included. The literature search, quality assessment, and data extraction were conducted by two reviewers independently. The primary endpoints were 3-year rates of overall survival (OS) and progression-free survival (PFS). Complete response rate, local recurrence, distant metastasis, and adverse events were secondary outcomes. The hazard ratios (HRs) and relative risk (RR) were pooled.

RESULTS

Nine studies with a total of 2732 patients were included in this meta-analysis, including 1411 patients in the CCRT group and 1321 in the CCRT plus ACT group. The HR for 3-year rates of OS and PFS of the CCRT group compared with the CCRT plus ACT group was 0.72 [95%confidence interval (CI) = 0.44-1.17] and 0.78 (95%CI = 0.5-1.75), respectively. No significant differences were observed between the two groups in the complete response rate (RR = 1.06, 95%CI = 0.96-1.16). However, local recurrence and distant metastasis were significantly lower in the CCRT plus ACT group than in the CCRT group (RR = 0.63, 95%CI = 0.44 -0.91 and RR = 0.64, 95%CI = 0.47-0.88). Grade 3-4 acute toxicities were more frequent in the CCRT plus ACT group (RR = 1.73, 95%CI =1.19-2.52).

CONCLUSION

Although associated with a decreased risk of local recurrence and distant metastasis, ACT did not significantly improve the survival rate and the complete response rate with increasing grade 3-4 acute toxicities in patients with LACC. Thus, this ACT regimen cannot be recommended for patients with LACC.

SYSTEMATIC REVIEW REGISTRATION

https://inplasy.com/inplasy-2022-9-0089/, identifier INPLASY202290089.

Dioscorea nipponica Makino suppresses TPA-induced migration and invasion through inhibition of matrix metalloproteinase-9 in human cervical cancer cells

Dioscorea nipponica Makino has been used for the treatment of chronic bronchitis, rheumatoid arthritis, cough, and asthma. Several studies have established the antitumor effect of D. nipponica Makino extract (DNE). However, no investigations have considered the antimetastatic potential of DNE in cervical cancer cells. The present study examined the effects of DNE on cervical cancer cells treated with 12-O-tetradecanoylphorbol-13-acetate and characterized the possible molecular mechanisms. MTT assay results indicated that DNE exhibited very low cytotoxicity, and DNE significantly reduced the invasion and migration abilities of cervical cancer cells. Gelatin zymography analysis revealed that DNE significantly inhibited matrix metalloproteinase-9 (MMP-9) activity. Reverse transcription-polymerase chain reaction assay results revealed that DNE treatment inhibited the MMP-9 mRNA levels of HeLa and SiHa cells. Western blot results revealed that DNE significantly diminished the ERK1/2 phosphorylation. In conclusion, we revealed that the antimetastatic effects of DNE on cervical cancer cells are due to its inhibition of MMP-9 expression through the ERK1/2 pathway.

Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis

Objective: To investigate whether pre-treatment CT-derived radiomic features could be applied for prediction of clinical response to neoadjuvant chemotherapy (NACT) in locally advanced cervical cancer (LACC). Patients and Methods: Two hundred and seventy-seven LACC patients treated with NACT followed by surgery/radiotherapy were included in this multi-institution retrospective study. One thousand and ninety-four radiomic features were extracted from venous contrast enhanced and non-enhanced CT imaging for each patient. Five combined methods of feature selection were used to reduce dimension of features. Radiomics signature was constructed by Random Forest (RF) method in a primary cohort of 221 patients. A combined model incorporating radiomics signature with clinical factors was developed using multivariable logistic regression. Prediction performance was then tested in a validation cohort of 56 patients. Results: Radiomics signature containing pre- and post-contrast imaging features can adequately distinguish chemotherapeutic responders from non-responders in both primary and validation cohorts [AUCs: 0.773 (95% CI, 0.701-0.845) and 0.816 (95% CI, 0.690-0.942), respectively] and remain relatively stable across centers. The combined model has a better predictive performance with an AUC of 0.803 (95% CI, 0.734-0.872) in the primary set and an AUC of 0.821 (95% CI, 0.697-0.946) in the validation set, compared to radiomics signature alone. Both models showed good discrimination, calibration. Conclusion: Newly developed radiomic model provided an easy-to-use predictor of chemotherapeutic response with improved predictive ability, which might facilitate optimal treatment strategies tailored for individual LACC patients.

Cervical cancer patients presentation and survival in the only oncology referral hospital, Ethiopia: a retrospective cohort study

Background

Women infected with Human Immune Deficiency Virus (HIV) are assumed to be at higher risk of developing Cervical Cancer (CC). This is due to a rapid progression of pre-invasive to invasive lesions. However, evidences suggest, due to the availability of antiretroviral therapy (ART) and care services; an improved survival and treatment outcome of CC patients (CCPs) with HIV infection is expected.

Objective

The aim of this study is to examine the clinical characteristics and survival of of CCPs registered at the radiotherapy center of Tikur Anbessa Specialized Hospital (TASH), Addis Ababa University, Ethiopia.

Methods

We conducted a retrospective cohort study. Data from 1655 CCPs diagnosed between September 2008 and September 2012 were included. The primary endpoint was death from any cause. Kaplan-Meier estimates were compared using the log-rank test. Cox proportional hazards regression model was used to identify predictors of death. Data were analyzed using STATA version IC/14.

Results

The mean age of all patients was 49 years (SD = 11.6 years). Of all CCPs, 139 (8.4%) were HIV positive, 372 (22.5%) patients had a known negative HIV status and 1144 (69.1%) patients were asymptomatic with unknown HIV status. Due to late stage and waiting times, only 13.5% of the patients received curative radiotherapy doses. HIV-positive CCPs presented more often with advanced disease compared to HIV negative CCPs ((44.6%) versus 39.7%, p = 0.007). There was no significant difference in survival between HIV-positive and HIV-negative CCPs. Older age (HR = 2.01; 95% CI, 1.01,-4.05), advanced disease (HR = 2.6; 95% CI, 1.67-4.04) and baseline anemia (HR = 1.65; 95% CI, 1.24, 2.20) were independent predictors for higher risk of death.

Conclusion

Survival rates of CCPs did not differ according to HIV status. The risk of death was higher for patients with older age, advanced disease and anemia. HIV patients should be screened for CC according to guidelines to avoid late presentation.