Patient age, tumor appearance and tumor size are risk factors for early recurrence of cervical cancer

Vaginal microbial profile of cervical cancer patients receiving chemoradiotherapy: the potential involvement of Lactobacillus iners in recurrence

The vaginal microbiome is an immune defense against reproductive diseases and can serve as an important biomarker for cervical cancer. However, the intrinsic relationship between the recurrence and the vaginal microbiome in patients with cervical cancer before and after concurrent chemoradiotherapy is poorly understood. Here, we analyzed 125 vaginal microbial profiles from a patient cohort of stage IB-IVB cervical cancer using 16S metagenomic sequencing and deciphered the microbial composition and functional characteristics of the recurrent and non-recurrent both before and after chemoradiotherapy. We demonstrated that the abundance of beneficial bacteria and stability of the microbial community in the vagina decreased in the recurrence group, implying the unique characteristics of the vaginal microbiome for recurrent cervical cancer. Moreover, using machine learning, we identified Lactobacillus iners as the most important biomarker, combined with age and other biomarkers (such as Ndongobacter massiliensis, Corynebacterium pyruviciproducens ATCC BAA-1742, and Prevotella buccalis), and could predict cancer recurrence phenotype before chemoradiotherapy. This study prospectively employed rigorous bioinformatics analysis and highlights the critical role of vaginal microbiota in post-treatment cervical cancer recurrence, identifying promising biomarkers with prognostic significance in the context of concurrent chemoradiotherapy for cervical cancer. The role of L. iners in determining chemoradiation resistance in cervical cancer warrants further detailed investigation. Our results expand our understanding of cervical cancer recurrence and help develop better strategies for prognosis prediction and personalized therapy.

A prognostic model using FIGO 2018 staging and MRI-derived tumor volume to predict long-term outcomes in patients with uterine cervical squamous cell carcinoma who received definitive radiotherapy

BACKGROUND

Uterine cervical carcinoma is a severe health threat worldwide, especially in China. The International Federation of Gynecology and Obstetrics (FIGO) has revised the staging system, emphasizing the strength of magnetic resonance imaging (MRI). We aimed to investigate long-term prognostic factors for FIGO 2018 stage II-IIIC2r uterine cervical squamous cell carcinoma following definitive radiotherapy and establish a prognostic model using MRI-derived tumor volume.

METHODS

Patients were restaged according to the FIGO 2018 staging system and randomly grouped into training and validation cohorts (7:3 ratio). Optimal cutoff values of squamous cell carcinoma antigen (SCC-Ag) and tumor volume derived from MRI were generated for the training cohort. A nomogram was constructed based on overall survival (OS) predictors, which were selected using univariate and multivariate analyses. The performance of the nomogram was validated and compared with the FIGO 2018 staging system. Risk stratification cutoff points were generated, and survival curves of low-risk and high-risk groups were compared.

RESULTS

We enrolled 396 patients (training set, 277; validation set, 119). The SCC-Ag and MRI-derived tumor volume cutoff values were 11.5 ng/mL and 28.85 cm³, respectively. A nomogram was established based on significant prognostic factors, including SCC-Ag, poor differentiation, tumor volume, chemotherapy, and FIGO 2018 stage. Decision curve analysis indicated that the net benefits of our model were higher. The high-risk group had significantly shorter OS than the low-risk group in both the training (p < 0.0001) and validation sets (p = 0.00055).

CONCLUSIONS

Our nomogram predicted long-term outcomes of patients with FIGO 2018 stage II-IIIC2r uterine cervical squamous cell carcinoma. This tool can assist gynecologic oncologists and patients in treatment planning and prognosis.

Influencing factors and risk prediction model for cervical cancer recurrence

OBJECTIVES

Cervical cancer is the most common malignant tumor in the female reproductive system worldwide. The recurrence rate for the treated cervical cancer patients is high, which seriously threatens women's lives and health. At present, the risk prediction study of cervical cancer has not been reported. Based on the influencing factors of cervical cancer recurrence, we aim to establish a risk prediction model of cervical cancer recurrence to provide a scientific basis for the prevention and treatment of cervical cancer recurrence.

METHODS

A total of 4 358 cervical cancer patients admitted to the Hunan Cancer Hospital from January 1992 to December 2005 were selected as research subjects, and the recurrence of cervical cancer patients after treatment was followed up. Univariate analysis was used to analyze the possible influencing factors. Variables that were significant in univariate analysis or those that were not significant in univariate analysis but may be considered significant were included in multivariate Cox regression analysis to establish a cervical cancer recurrence risk prediction model. Line graphs was used to show the model and it was evaluated by using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis.

RESULTS

Univariate analysis showed that the recurrence rates of cervical cancer patients with different age, age of menarche, parity, miscarriage, clinical stage, and treatment method were significantly different (all P<0.05). Multivariate Cox regression analysis showed that RR=-0.489×(age≥55 years old)+0.481×(age at menarche >15 years old)+0.459×(number of miscarriages≥3)+0.416×(clinical stage II)+0.613×(clinical stage III/IV)+0.366×(the treatment method was surgery + chemotherapy) + 0.015×(the treatment method was chemotherapy alone). The area under the ROC curve (AUC) of the Cox risk prediction model for cervical cancer recurrence constructed was 0.736 (95% CI 0.684 to 0.789), the best prediction threshold was 0.857, the sensitivity was 0.576, and the specificity was 0.810. The accuracy of the Cox risk model constructed by this model was good. From the clinical decision curve, the net benefit value was high and the validity was good.

CONCLUSIONS

Patient age, age at menarche, miscarriages, clinical stages, and treatment methods are independent factors affecting cervical cancer recurrence. The Cox proportional hazards prediction model for cervical cancer recurrence constructed in this study can be better used for predicting the risk of cervical cancer recurrence.

Cervical cancer prognosis and related risk factors for patients with cervical cancer: a long-term retrospective cohort study

This study aims to explore the recurrence rate and overall survival for patients with cervical cancer after the first treatment and the related risk factors. A retrospective cohort study was conducted on cervical cancer patients enrolled in a cancer specialist hospital in Hunan Province, China from January 1992 to December 2005 and followed up until December 2010. Kaplan–Meier survival analysis was used to estimate the cumulative recurrence rate, and Cox proportional hazards model was utilized to identify risk factors associated with prognosis. A total of 4358 patients were enrolled with a median follow-up of 7.4 years (range 5–19 years), and 372 (8.5%) patients had cancer recurrence. The cumulative recurrence rate showed a rapid increase from 3.8% in the first year after discharge to 8.0% in the fifth year, and the recurrence rate remained relatively stable afterward reaching 9.7% and 10.8% in the 10th and the 15th year, respectively. The median time to recurrence was 15.5 months with an IQR of 5.5–40.0 months. The Cox regression showed that miscarriage, clinical stage, and treatment received were significantly associated with cervical cancer recurrence after adjustment for confounders. Patients with recurrence showed a significantly higher risk for mortality than those without recurrence (HR 2.79, 95% CI 2.42–3.22). This study depicted the long-term recurrence rate and survival after recurrence for patients with cervical cancer after the first treatment, and reported time to recurrence and risk factors related to recurrence. These findings may provide important evidence for designing targeted interventions for the treatment of cervical cancer.

Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network

Background:

Evaluating the risk of metastasis and recurrence of a cervical cancer patient is critical for appropriate adjuvant therapy. However, current risk assessment models usually involve the testing of tens to thousands of genes from patients’ tissue samples, which is expensive and timeconsuming. Therefore, computer-aided diagnosis and prognosis prediction based on Hematoxylin and Eosin (H&E) pathological images have received much attention recently.

Objective:

The prognosis of whether patients will have metastasis and recurrence can support accurate treatment for patients in advance and help reduce patient loss. It is also important for guiding treatment after surgery to be able to quickly and accurately predict the risk of metastasis and recurrence of a cervical cancer patient.

Method:

To address this problem, we propose a hybrid method. Transfer learning is used to extract features, and it is combined with traditional machine learning in order to analyze and determine whether patients have the risks of metastasis and recurrence. First, the proposed model retrieved relevant patches using a color-based method from H&E pathological images, which were then subjected to image preprocessing steps such as image normalization and color homogenization. Based on the labeled patched images, the Xception model with good classification performance was selected, and deep features of patched pathological images were automatically extracted with transfer learning. After that, the extracted features were combined to train a random forest model to predict the label of a new patched image. Finally, a majority voting method was developed to predict the metastasis and recurrence risk of a patient based on the predictions of patched images from the whole-slide H&E image.

Results:

In our experiment, the proposed model yielded an area under the receiver operating characteristic curve of 0.82 for the whole-slide image. The experimental results showed that the high-level features extracted by the deep convolutional neural network from the whole-slide image can be used to predict the risk of recurrence and metastasis after surgical resection and help identify patients who might receive additional benefit from adjuvant therapy.

Conclusion:

This paper explored the feasibility of predicting the risk of metastasis and recurrence from cervical cancer whole slide H&E images through deep learning and random forest methods.

Nomogram Predicting Overall Survival in Patients with FIGO II to III Squamous Cell Cervical Carcinoma Under Radical Radiotherapy: A Retrospective Analysis Based on 2018 FIGO Staging

Purpose

To present a nomogram to predict overall survival in patients with FIGO-2018 II to III squamous cell cervical carcinoma undergoing radical radiotherapy.

Patients and Methods

Patients diagnosed with FIGO-2018 II to III squamous cell cervical cancer between December 2013 and December 2014 were analyzed retrospectively. The optimal cutoff point for tumor length and width were determined by R package. We identified prognostic factors by univariate and multivariate Cox proportional-hazard regression, then built a nomogram to visualize the prediction model. Our model was compared to the 2018 FIGO staging prediction model. Harrell’s concordance index, receiver operating characteristic curve, calibration plot were used to evaluate the discriminability and accuracy of the predictive models, and decision curve analysis (DCA) was used to show the net benefits.

Results

Data from 469 patients were included in the final analyses. The cutoff values of tumor length and width were 5.10 cm and 4.13 cm, respectively. Four independent prognostic variables—tumor length, tumor width, lower one-third vaginal involvement, and lymph node metastases—were used to establish the nomogram. The C-index of the nomogram was 0.71 (95%, CI = 0.66–0.77), which was better than that of the 2018 FIGO stage prediction model (C-index: 0.62, 95% CI = 0.58–0.66, p = 0.009). The calibration plot of the nomogram was a good fit for both 3-year and 5-year overall survival predictions. And DCA curves showed that net benefits for our model were higher than FIGO-2018 staging system.

Conclusion

A clinically useful nomogram for calculating overall survival probability in FIGO-2018 II to III squamous cell cervical cancer patients who had received radical radiotherapy was developed. Tumor length, tumor width, lower one-third vaginal involvement, and lymph node metastases were found to be independent prognostic factors. Our model performed better than the 2018 FIGO staging model. The findings could help clinicians in China to predict the survival of these patients in clinical care and research.

Prognostic Nomogram for Overall Survival of Patients Aged 50 Years or Older with Cervical Cancer

Objective

The prognostic factors of cervical cancer in elderly patients have not been researched systematically. We aimed to investigate the clinicopathological characteristics of patients with cervical cancer aged ≥50 years and establish a nomogram for evaluating their prognoses for overall survival.

Methods

From the Surveillance, Epidemiology, and End Results database, we obtained data of 8538 patients with pathology-confirmed cervical cancer between 2004 and 2015. Patients were divided into training (n = 5941) and validation (n = 2597) cohorts. A nomogram was constructed to evaluate the prognostic prediction value for disease progression. The concordance index, receiver operating characteristic curve, and calibration chart were used to evaluate the model's prediction accuracy and discriminative ability. Survival condition was analyzed using the Kaplan-Meier method.

Results

In the training cohort, age at diagnosis, race, histology, grade, stage, tumor size, number of examined lymph nodes, and treatment significantly correlated with outcome and were used to develop the nomogram. The calibration curve for survival probability showed an excellent agreement between the nomogram-predicted and actual survival in the training cohort.

Conclusion

Our nomogram has less bias and gives better accuracy than the International Federation of Gynecology and Obstetrics staging system and can help set up a more individualized feasible follow-up plan.

MiR-106b-5p Promotes Malignant Behaviors of Cervical Squamous Cell Carcinoma Cells by Targeting TIMP2

The objective of this study was to investigate modulatory mechanism of miR-106b-5p and tissue inhibitor of metalloproteinases 2 (TIMP2) on cervical squamous cell carcinoma cells. Differentially expressed genes in CSCC were analyzed via bioinformatics analysis. The targeting impact of miR-106b-5p on TIMP2 was validated through dual-luciferase assay and RNA immunoprecipitation assay. MiR-106b-5p level and TIMP2 mRNA level were assessed via qRT-PCR. TIMP2 protein level was measured via western blot. Malignant behaviors of CSCC cells were evaluated by functional experiments. The EMT and apoptosis-related proteins were determined via western blot. MiR-106b-5p was noticeably elevated in CSCC cells. Its downstream target was TIMP2. MiR-106b-5p and TIMP2 levels were inversely correlated. MiR-106b-5p overexpression fostered malignant phenotypes of CSCC cells, and vice versus. TIMP2 overexpression weakened the promotive impact of forced expression of miR-106b-5p on CSCC cell growth. EMT was facilitated by forced expression of miR-106b-5p. MiR-106b-5p regulates the progression of CSCC cells via targeting TIMP2, which may provide novel value for development of therapeutic targets for CSCC.

Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer

Background: To evaluate the prognostic value of the systemic inflammatory score (SIS) in cervical cancer patients.

Methods: A total of 264 patients with FIGO stage (2009) IB-IIA cervical cancer undergoing radical resection from January 2014 to December 2017 were recruited. The optimal cutoff values for inflammatory biomarkers were calculated by X-tile software. The prognostic factors were investigated using univariate and multivariate Cox analyses. Time-dependent receiver operating characteristic (time-ROC) analysis and the concordance index (C-index) were used to compare the prognostic impact of factors.

Results: In total, 264 patients with cervical cancer were included in the study. The optimal cutoff value for lymphocyte-to-monocyte ratio (LMR) was 4.1. In multivariate analysis, FIGO stage, lymphovascular invasion, lymph node metastasis, preoperative serum albumin (Alb), and LMR were independent prognostic factors (P<0.05). Then, we combined preoperative Alb and LMR to establish the SIS. Multivariate analysis showed that the SIS was an independent factor that affected survival (P<0.05). When stratified by FIGO stage, significant differences in survival were also found for patients with different SISs (P<0.05). When the SIS and FIGO stage were combined, the time-ROC curve was superior to that of FIGO stage only. The C-index of the model combining the SIS and FIGO stage was 0.786 (95% CI 0.699-0.873), which was significantly higher than that of the model with FIGO stage only (0.676, 95% CI 0.570-0.782, P=0.0049).

Conclusions: The preoperative SIS is a simple and useful prognostic factor for postoperative survival in patients with cervical cancer. It might assist in the identification of high-risk patients among patients with the same FIGO stage.

Utility of a metabolic-associated nomogram to predict the recurrence-free survival of stage I cervical cancer

Aims: To identify metabolism-associated genes (MAGs) that serve as biomarkers to predict prognosis associated with recurrence-free survival (RFS) for stage I cervical cancer (CC). Patients & methods: By analyzing the Gene Expression Omnibus (GEO) database for 258 cases of stage I CC via univariate Cox analysis, LASSO and multivariate Cox regression analysis, we unveiled 11 MAGs as a signature that was also validated using Kaplan-Meier and receiver operating characteristic analyses. In addition, a metabolism-related nomogram was developed. Results: High accuracy of this signature for prediction was observed (area under the curve at 1, 3 and 5 years was 0.964, 0.929 and 0.852 for the internal dataset and 0.759, 0.719 and 0.757 for the external dataset). The high-risk score group displayed markedly worse RFS than did the low-risk score group. The indicators performed well in our nomogram. Conclusions: We identified a novel signature as a biomarker for predicting prognosis and a nomogram to facilitate the individual management of stage I CC patients.

En bloc resection of cervical adenocarcinoma with late recurrence to the iliopsoas

This is a case of a 50-year-old woman diagnosed with recurrent cervical adenocarcinoma presenting with chronic and persistent low back pain. She underwent myomectomy for myoma uteri 8 years prior. Histopathology report revealed cervical cancer. She underwent chemotherapy, brachytherapy and external beam radiotherapy. All surveillance work-up, over the years, were negative until she was found to have a solitary recurrent lesion in the right iliopsoas muscle on CT scan. A multidisciplinary team of surgeons collaborated to perform wide excision of pelvic recurrence en bloc right internal hemipelvectomy, right hemicolectomy en bloc resection of external iliac artery and vein, external ilio-iliac artery interposition graft and external iliac vein-common femoral vein bypass. Final histopathologic results showed adenocarcinoma with endometrioid features with associated poorly differentiated high-grade carcinoma involving the iliopsoas, cecum and terminal ileum. Two months postoperatively, the patient is ambulating with minimal assistance.

Molecular landscape of recurrent cervical cancer

Cervical cancer (CC) is a major gynecological problem in developing and underdeveloped countries. Despite the significant advancement in early detection and treatment modalities, several patients recur. Moreover, the molecular mechanisms responsible for CC recurrence remains obscure. The patients with CC recurrence often show poor prognosis and significantly high mortality rates. The clinical management of recurrent CC depends on treatment history, site, and extent of the recurrence. Owing to poor prognosis and limited treatment options, recurrent CC often presents a challenge to the clinicians. Several in vitro, in vivo, and patient studies have led to the identification of the critical molecular changes responsible for CC recurrence. Both aberrant genetic and epigenetic modifications leading to altered cell signaling pathways have been reported to impact CC recurrence. Researchers are currently trying to dissect the molecular pathways in CC and translate these findings for better management of disease. This article attempts to review the existing knowledge of disease relapse, accompanying challenges, and associated molecular players in CC.

Exosomal microRNAs: novel players in cervical cancer

Cervical cancer ranks fourth for both mortality and morbidity in women globally. Exosomes are considered as extracellular vesicles, secreted continuously by many cells with a size range from 30 to 150 nm. Exosomes can encapsulate microRNAs (miRNAs) and release them for cellular communications. This exosome-induced miRNA transfer is a novel strategy for genetic exchange among cells. This trafficking modality affects many pathological as well as physiological conditions. Moreover, exosomes can protect the miRNAs against harsh environments and keep them very stable. Given that a variety of exosomal miRNAs derived from cervical cancer cells can be targeted to recipient cells and contribute to tumorgenesis, it has been documented that exosomal miRNAs could be applied as diagnostic and therapeutic biomarkers in the treatment of cervical cancer. Herein, we summarize the pathologic and diagnostic roles of exosomal miRNAs in the cervical cancer. Moreover, we highlight the roles of exosomal miRNAs in other cancers.

Kindlin‑2 suppresses cervical cancer cell migration through AKT/mTOR‑mediated autophagy induction

Kindlin‑2 plays a carcinogenic or tumor‑suppressor role in various tumors. However, its role in cervical cancer remains unclear. In the present study, kindlin‑2 expression was first analyzed using public expression data and clinical specimens. It was revealed that kindlin‑2 was downregulated in cervical cancer tissues, and low expression of kindlin‑2 was associated with poor disease‑free survival. In addition, kindlin‑2 was overexpressed and knocked down in two cell lines to study its effect in cervical cancer cells. The results revealed that kindlin‑2 promoted cell autophagy and inactivated AKT/mTOR signaling. Rescue experiments indicated that the regulation of autophagy by kindlin‑2 was dependent on the AKT/mTOR signaling pathway. Furthermore, it was revealed that kindlin‑2 inhibited cell migration, and autophagy was required for this process. Collectively, these findings revealed the role and mechanism of kindlin‑2 in the autophagy and migration of cervical cancer cells.

Pulmonary recurrence after radical hysterectomy for uterine cervical carcinoma

Pulmonary spread from carcinoma of the uterine cervix, though uncommon, has been reported in 2.2-9.1% of all cervical cancers. The aim of this study was to evaluate the surgical, clinical, pathological factors and clinical outcomes of cervical cancer patients with pulmonary recurrence (PR).This study included 17 cervical cancer patients with PR after radical hysterectomy. The entire cohort consisted of 413 patients whose surgeries (type III radical hysterectomy + pelvic ± para-aortic lymphadenectomy) had been performed in our Gynaecologic Oncology Clinic between 1993 and 2018. Tumour size, lymph node metastasis and receiving adjuvant therapy were found to be effective for PR on univariate analyses in the main cohort (p = .042, p < .001 and p = .001, respectively). Therefore, performing adjuvant therapy to reduce the PR must be assessed properly with the information of lymph node status and tumour size obtained from the final pathology reports.Impact StatementWhat is already known on this subject? Pulmonary spread from carcinoma of the uterine cervix has been reported in 2.2-9.1% of all cervical cancers. Data related to clinico-pathological features of patients with pulmonary recurrence (PR) is limited. Diagnosis of a PR is considered to worsen the prognosis.What do the results of this study add? Tumour size, lymph node metastasis and receiving adjuvant therapy were found to be effective for PR on univariate analyses.What are the implications of these findings for clinical practice and/or further research? Performing adjuvant therapy to reduce the PR must be assessed properly with the information of lymph node status and tumour size obtained from the final pathology reports in patients with uterine cervical carcinoma.

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.

Cervical squamous cell carcinoma-secreted exosomal miR-221-3p promotes lymphangiogenesis and lymphatic metastasis by targeting VASH1

Cancer-secreted exosomal miRNAs are emerging mediators of cancer-stromal cross-talk in the tumor environment. Our previous miRNAs array of cervical squamous cell carcinoma (CSCC) clinical specimens identified upregulation of miR-221-3p. Here, we show that miR-221-3p is closely correlated with peritumoral lymphangiogenesis and lymph node (LN) metastasis in CSCC. More importantly, miR-221-3p is characteristically enriched in and transferred by CSCC-secreted exosomes into human lymphatic endothelial cells (HLECs) to promote HLECs migration and tube formation in vitro, and facilitate lymphangiogenesis and LN metastasis in vivo according to both gain-of-function and loss-of-function experiments. Furthermore, we identify vasohibin-1 (VASH1) as a novel direct target of miR-221-3p through bioinformatic target prediction and luciferase reporter assay. Re-expression and knockdown of VASH1 could respectively rescue and simulate the effects induced by exosomal miR-221-3p. Importantly, the miR-221-3p-VASH1 axis activates the ERK/AKT pathway in HLECs independent of VEGF-C. Finally, circulating exosomal miR-221-3p levels also have biological function in promoting HLECs sprouting in vitro and are closely associated with tumor miR-221-3p expression, lymphatic VASH1 expression, lymphangiogenesis, and LN metastasis in CSCC patients. In conclusion, CSCC-secreted exosomal miR-221-3p transfers into HLECs to promote lymphangiogenesis and lymphatic metastasis via downregulation of VASH1 and may represent a novel diagnostic biomarker and therapeutic target for metastatic CSCC patients in early stages.

Outcome and prognostic factors in cervical cancer patients treated with surgery and concurrent chemoradiotherapy: a retrospective study

Background

The objective of this study is to analyze the treatment outcome and secondary reactions in 98 patients with stage I–III cervical carcinoma who underwent postoperative radiotherapy.

Methods

From 2006 to 2014, 98 patients with stage I–III cervical carcinoma were treated with postoperative radiotherapy. The major histological type, found in 92.86% of the patients (91 cases), was squamous cell carcinoma. Patients were staged according to the 2002 TNM guidelines. The postoperative radiotherapy methods included two-field irradiation (16 patients, 16.32%), four-field box irradiation (16 patients, 16.32%), and intensity-modulated radiotherapy (IMRT; 66 patients, 67.36%). The survival rates were represented using Kaplan-Meier curves, and prognosis analyses were performed using Cox multivariate analyses.

Results

The 5-year overall survival and progression-free survival rates were 82.0 and 76.0%, respectively. Only one patient (1.02%) developed a grade 3 acute radiation enteritis, while grade 3 and 4 myelosuppression was noted in 17 patients (17.35%) and one patient (1.02%), respectively. Multivariate analyses showed that anemia before radiotherapy and tumor size were predictors of the OS (P = 0.008, P = 0.045) rates.

Conclusions

Postoperative radiotherapy for patients with risk factors of cervical cancer procured good efficacy levels with mild side effects. Anemia and tumor size were important OS predictors.

Chemoradiotherapy in combination with radical surgery is associated with better outcome in cervical cancer patients

Objectives

To retrospectively assess the influence of radical surgery following concurrent chemoradiotherapy (CCRT) on outcomes in cervical cancer (CC) patients.

Methods

Patients diagnosed with cervical squamous cell carcinoma or adenocarcinoma (FIGO stages IB2 to IIB) at the Yinbin Second People's Hospital between September 2008 and September 2013, were included in this study. Patients were classified into 2 groups based on the treatment received: surgery group (CCRT plus radical surgery) and non-surgery groups (CCRT only). In addition to clinical information, inter-group differences with respect to local control rate (LCR), local recurrence rate (LRR), metastasis rate, overall survival (OS), progress free survival(PFS) and complications were assessed.

Results

A total of 314 patients were included in the analysis. Parametrial invasion, pelvic lymph node metastasis, tumor diameter > 4 cm and presence of residual disease were risk factors for recurrence in the non-surgery group. In patients with risk factors, radical surgery significantly improved their clinical outcome. The 3-year/5-year LCR in the surgery and non-surgery groups was 88.3%/87.4% and 82.3%/77.5%, respectively (P = 0.04). The 3-year/5-year OS rate in the two groups was 87.1%/81.7% and 72.8%/67.3%, respectively (P = 0.001). The 3-year/5-year LRR in the two groups were 11.7%/12.6% and 17.7%/22.5%, respectively (P = 0.04). The metastasis rates in the two groups were 19.9% and 24.8%, respectively (P = 0.09).

Conclusions

Surgery following CCRT could improve overall survival and progressfree survival. Radical surgery following CCRT appears to confer significant benefits including an increase in LCRs and decrease in LRR in CC patients with risk factors.

Recurrence of Early Stage Cervical Cancer After Laparoscopic Versus Open Radical Surgery

OBJECTIVE

The aim of the study was to compare site and time to recurrence in patients affected by early stage cervical cancer (CC) treated with laparoscopy radical hysterectomy (LRH) versus abdominal radical hysterectomy (ARH).

METHODS

This retrospective study was conducted in a university teaching, tertiary referral center hospital. We included patients undergoing either LRH or open ARH to treat CC.

RESULTS

One hundred fifty patients were included, 82 submitted to LRH and 68 submitted to ARH. Baseline characteristics of the 2 groups were comparable, except for body mass index higher in ARH group. Patients undergoing LRH experienced less blood loss (100 vs 400 mL, P < 0.0001), less lymph nodes removed (20 vs 31, P = 0.001), and shorter recovery (4 vs 8 days, P = 0.0005) in comparison with the ARH group. No significant differences were found regarding recurrence rate (9 vs 13, P = 0.17) and time to recurrence (8 vs 17 months, P = 0.066) between LRH and ARH group.Sites of recurrence were also comparable between the 2 groups: 2/9 versus 2/13 (P = 1) local recurrence, 4/9 versus 8/13 (P = 0.66) pelvic recurrence, 4/9 versus 7/13 (P = 1) distant recurrence in LRH and ARH groups, respectively. The most frequent sites of recurrence were pelvic and distant (44.4%) in LRH group and pelvic (61.5%) in ARH group.

CONCLUSIONS

Our data demonstrate that early stage CC can be treated with LRH with similar recurrence rates and patterns in comparison with ARH, reassuring its continuing clinical use.

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

Objective

To evaluate the effects of age and the clinical response to neoadjuvant chemotherapy (NACT) in patients with cervical cancer who received neoadjuvant chemotherapy followed by radical surgery.

Methods

A total of 1,014 patients with advanced cervical cancer who received NACT followed by radical surgery were retrospectively selected. Patients were divided into young (aged ≤35 years, n = 177) and older (aged >35 years, n = 837) groups. We compared the short-term responses and survival rates between the groups. The five-year disease-free survival (DFS) and overall survival (OS) rates were stratified by age, NACT response, and FIGO stage.

Results

The overall response rate was 86.8% in the young group and 80.9% in the older group. The young patients had an earlier FIGO stage (P<0.001), a higher rate of adenocarcinoma (P = 0.022), and more lymph node metastasis (P = 0.033) than the older patients. The presence of adenocarcinoma as the histological type (P = 0.024) and positive lymph node metastasis (P<0.001) were identified as independent risk factors for survival. When stratified by age and clinical response, young patients with no response to NACT had a worse clinicopathological condition compared with the other subgroups. Compared with non-responders, responders to NACT had a higher five-year DFS rate (80.1% versus 71.8%; P = 0.019) and OS rate (82.6% versus 71.8%; P = 0.003) among the young patients but not among the older patients.

Conclusions

Responders to NACT aged 35 years or younger benefitted the most from NACT, while the young non-responders benefitted the least. Age might represent an important factor to consider when performing NACT in patients with cervical cancer.