Outcomes Of Cervical Cancer Patients Research Articles

MKRN1 regulates the expression profiles and transcription factor activity in HeLa cells inhibition suppresses cervical cancer cell progression

Cervical cancer is one of the most common gynecologic malignancies worldwide, necessitating the identification of novel biomarkers and therapeutic targets. This study aimed to investigate the significance of MKRN1 in cervical cancer and explore its potential as a diagnostic marker and therapeutic target. The results indicated that MKRN1 expression was up-regulated in cervical cancer tissues and correlated with advanced tumor stage, higher grade, and poor patient survival. Functional studies demonstrated that targeting MKRN1 effectively inhibited cell proliferation, migration, and invasion, highlighting its critical role in tumor progression and metastasis. Moreover, the knockdown of MKRN1 resulted in altered expression patterns of six transcription factor-encoding genes, revealing its involvement in gene regulation. Co-expression network analysis unveiled complex regulatory mechanisms underlying the effects of MKRN1 knockdown on gene expression. Furthermore, the results suggested that MKRN1 might serve as a diagnostic marker for personalized treatment strategies and a therapeutic target to inhibit tumor growth, metastasis, and overcome drug resistance. The development of MKRN1-targeted interventions might hold promise for advancing personalized medicine approaches in cervical cancer treatment. Further research is warranted to validate these findings, elucidate underlying mechanisms, and translate these insights into improved management and outcomes for cervical cancer patients.

Incidence, prognostic factors, and a nomogram of cervical cancer with lung metastasis: A SEER-based study

AimsThe purpose of this study was to investigate the incidence, survival and prognostic factors of cervical cancer with lung metastasis at the initial diagnosis and to develop a visual nomogram to predict the prognosis of these patients. MethodsWe used the Surveillance, Epidemiology and End Results (SEER) database to screen patients diagnosed with cervical cancer from 2010 to 2015. After strict inclusion and exclusion, the chi-square test was used to evaluate the differences in the clinical characteristics of patients with cervical cancer, and then we used Kaplan–Meier method to perform survival analysis among cervical cancer patients with lung metastasis. Next, univariate and multivariate Cox proportional hazard regression models were used to estimate prognostic factors of these patients and we developed a visualized and novel nomogram to judge the prognosis. Results476 patients with lung metastasis and 12,016 patients without lung metastasis were included in this study. The incidence of lung metastasis was higher in unmarried white cervical cancer patients between the ages of 40 and 60, and grade III cervical squamous cell carcinoma patients were more likely to have lung metastasis. In addition, grade, surgery, radiotherapy, sequence of surgery and radiotherapy and chemotherapy were significantly related to the outcomes of cervical cancer patients with lung metastasis. Furthermore, our nomogram could predict the 3-year and 5-year overall survival (OS) of these patients. Finally, the AUC of 3-year OS and 5-year OS were confirmed to be 0.969 and 0.939 respectively by ROC curves, with good consistency. ConclusionsAge at diagnosis, race, marital status, and characteristics of the tumor can influence the incidence of lung metastasis in cervical cancer patients. Besides, grade, surgery, radiotherapy, sequence of surgery and radiotherapy and chemotherapy may deeply affect the prognosis of cervical cancer patients with lung metastasis. The nomogram built in this study may help clinicians to formulate individualized treatment strategies and encourage the development of more and more comprehensive and accurate predictive models.

WITHDRAWN: LncRNA MIR497HG inhibits cervical cancer by upregulating BCL6B to block PI3K/AKT signaling

BackgroundLong noncoding RNAs (lncRNAs) play key roles in cancer development. The lncRNA miR-497 host gene (MIR497HG) has been identified to slow tumor progression in several cancers. This study aims to identify the effect of MIR497HG on cervical cancer (CC) progression and explore the underlying mechanism. MethodsThe effect of MIR497HG on CC cell growth, apoptosis, migration, and invasion were examined by CCK-8, colony formation, flow cytometry, wound healing, and transwell assays. Western blotting, RT-qPCR, and luciferase reporter assays as well as bioinformatics prediction websites were used to explore the molecular mechanism how MIR497HG modulates B cell CLL/lymphoma 6 member B (BCL6B) expression to regulate PI3K/AKT pathway. The clinical specimens of CC were collected to test the gene expression and prognostic values of MIR497HG, BCL6B, and miR-7-5p. The xenograft CC model was established by subcutaneous transplantation of human CC cell lines. Xenograft tumors were used to detect the expression of BCL6B and PI3K/AKT signaling by immunohistochemistry. ResultsMIR497HG expression was downregulated in CC tissues and cells. MIR497HG overexpression inhibited cell proliferation, migration, and invasion, and facilitated apoptosis. MIR497HG blocked PI3K/AKT signaling pathway by upregulating BCL6B expression in CC cells. MIR497HG upregulated BCL6B expression by sponging miR-7-5p. BCL6B knockdown, or miR-7-5p overexpression reversed the antitumor effect of MIR497HG on CC. Additionally, abnormal expressions of MIR497HG, BCL6B, and miR-7-5p were all associated with the survival outcomes of CC patients. The results in in vivo xenograft tumor models showed that MIR497HG overexpression inhibited CC growth via the miR-7-5p/BCL6B/PI3K/AKT axis. ConclusionOverall, MIR497HG inhibits CC development and progression by upregulating BCL6B to block PI3K/AKT pathway, implicating that MIR497HG might be an effective therapeutic target for CC.

CNKSR2 expression is correlated with immune infiltrates in Cervical Cancer as a favorable prognostic factor.

Connector enhancer of kinase suppressor of Ras 2 (CNKSR2) is a scaffold protein that mediates mitogen-activated protein kinase pathways. However, the molecular function of CNKSR2 in cervical squamous cell carcinoma (CESC) remains unknown. This study aimed to characterize the role of CNKSR2 in patients with CESC. Immunohistochemistry revealed that the expression of CNKSR2 in CESCs is relatively low compared with that in normal cells. We also explored the gene expression profile of high- and low-CNKSR2 expression in patients with cervical cancer. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the expression of CNKSR2 was upregulated in synapse assembly, which was coordinately regulated using the cAMP signaling pathway and calcium signaling pathway. The correlation between CNKSR2 and cancer immune cell infiltration was investigated via single-sample gene set enrichment analysis (ssGSEA). High CNKSR2 expression was associated with better overall survival (OS) and disease-free survival (DFS). Interestingly, high CNKSR2 expression was a good predictor of the survival outcome in cervical cancer patients. Additionally, CNKSR2 expression was strongly correlated with diverse immune cells in CESCs, including NK cells and T cells. These findings suggest that CNKSR2 is correlated with prognosis and immune infiltration, laying the foundation for future studies on the functional role of CNKSR2 in CESC.

The association between the serum concentration of CXC subfamily chemokine 13 and post-surgical clinical outcomes in cervical cancer patients.

This study aimed to investigate the relationship between serum levels of CXC subfamily chemokine 13 (CXCL13) and clinical outcomes following radical surgery for cervical cancer. A total of 70 cervical cancer patients admitted to our hospital between August 2021 and December 2022 were selected as the study group, while 30 healthy individuals who underwent regular physical examinations during the same period were selected as the control group. The levels of CXCL13 were measured in both groups, and a comparison was made between pre- and post-operative CXCL13 levels in the study group and the control group. Follow-up data on clinical outcomes were collected for the study group, and clinical data were compared between the recurrence/metastasis group and the non-recurrence/metastasis group. Logistic regression analysis was performed to identify factors influencing recurrence and metastasis by incorporating variables showing significant differences. Additionally, Pearson's correlation analysis was used to examine the relationship between CXCL13 and clinical data. Postoperative levels of CXCL13 in the study group showed a significant decrease compared to preoperative levels, and they were lower than those in the control group (p<0.05). Among the 70 patients in the study group, 23 experienced recurrence or metastasis, while 47 did not. Significant differences were observed between the recurrence/metastasis group and the non-recurrence/metastasis group in terms of histological grade, depth of cervical invasion, FIGO stage, parametrial infiltration, lymph node metastasis, and CXCL13 (p<0.05). Logistic regression analysis revealed that CXCL13, histological grade, depth of cervical invasion, FIGO stage, parametrial infiltration, and lymph node metastasis were all factors influencing recurrence and metastasis. There was a positive correlation between CXCL13 and histological grade, depth of cervical invasion, FIGO stage, parametrial infiltration, and lymph node metastasis (p<0.05). The level of CXCL13 is closely associated with the clinical outcome of cervical cancer after radical surgery and can serve as an important indicator for predicting clinical outcomes. Its application in clinical practice is highly recommended.

Comparison of the survival outcomes of laparoscopic, abdominal and gasless laparoscopic radical hysterectomy for early-stage cervical cancer: trial protocol of a multicenter randomized controlled trial (LAGCC trial).

Radical hysterectomy (RH) is considered a cornerstone in the treatment of early-stage cervical cancer. However, the debate surrounding the optimal surgical approach, whether minimally invasive or open surgery, remains controversial. The objective of this trial is to evaluate the survival outcomes of cervical cancer patients who undergo different surgical approaches. This study is designed as a prospective, multicenter, open, parallel, and randomized controlled trial. A total of 500 patients diagnosed with stage IA1 with LVSI, IA2, IB1, or IB2 (2018 FIGO) will be recruited. Recruitment of participants started in November 2020. The participants will be randomly assigned to one of three groups: conventional laparoscopic RH, gasless laparoscopic RH, or abdominal RH. The primary endpoint of this trial is the 2-year disease-free survival (DFS) rate. The secondary endpoints will include the 2-year overall survival (OS) rate, 5-year DFS/OS, recurrence rates, operation time, intraoperative blood loss, surgery-related complications, and impact on quality of life (QoL). We expect this trial to provide compelling and high-quality evidence to guide the selection of the most appropriate surgical approach for early-stage cervical cancer. Chinese Clinical Trial Register, identifier ChiCTR2000035515.

Efficacy of high-dose-rate brachytherapy with different radiation source activities among cervical cancer patients and risk factors for long-term outcomes: A 6-year retrospective study

PURPOSEThis study aimed to assess the impact of dose rates due to natural decay of Iridium-192 sources and the risk factors of clinical outcomes for cervical cancer patients treated with high-dose-rate (HDR) brachytherapy. METHODS AND MATERIALSFour ninety-four patients were divided into relatively-high-radioactive (rHR), relatively-medium-radioactive (rMR), and relatively-low-radioactive (rLR) groups for retrospective treatment response comparison. The short-term outcomes were evaluated using the 1-month /3-month follow-up results based on RECIST 1.1. Local recurrence-free survival (LRFS) and metastatic recurrence-free survival (MRFS) were selected as long-term outcomes. A class of transformation models with adaptive lasso was applied to assess the risk factors of long-term outcomes. RESULTSNo significant difference was identified in short- or long-term outcomes of different radioactive groups. Subgroup analyses demonstrated similar findings. In multivariate factor analysis, advanced stage was significantly associated with higher risk of local recurrence and metastatic recurrence (HR = 1.66, 95%confidence interval [CI] = 1.14–2.43, p = 0.008; HR = 1.57, 95%CI = 1.23–2.00, p < 0.001). Significant associations were observed between local recurrence and pathology, and between metastatic recurrence and pre-treatment serum indices, respectively (HR = 8.62, 95%CI = 2.28–32.60, p = 0.002; HR = 1.98, 95%CI=1.20–2.26, p = 0.008). CONCLUSIONSOverall, there was no significant difference in long- or short-term efficacy of the HDR brachytherapy among the groups with different levels of activity of radiation sources. Stage, pathology, and pretreatment serum indices were crucial factors that affected the long-term outcomes.

Introducing a novice surgeon to an experienced robotic gynaecological oncology team: An observational cohort study on the impact of a structured curriculum on outcomes of cervical cancer surgery

ObjectiveTo evaluate the effect on patient outcomes when introducing a novice robotic surgeon, trained in accordance with a structured learning curriculum, to an experienced robotic surgery team treating cervical cancer patients. MethodsPatients with early-stage cervical cancer who were treated with primary robot-assisted surgery between 2007 and 2019 were retrospectively included. In addition to the 165 patients included in a former analysis, we included a further 61 consecutively treated patients and divided all 226 patients over three groups: early learning phase of 61 procedures without structured training (group 1), experienced phase of 104 procedures (group 2), and the 61 procedures during introduction of a novice with structured training (group 3). Risk-adjusted cumulative sum (RA-CUSUM) analysis was performed to assess the learning curve effect. Patient outcomes between the groups were compared. ResultsBased on RA-CUSUM analysis, no learning curve effect was observed for group 3. Regarding surgical outcomes, mean operation time in group 3 was significantly shorter than group 1 (p < 0.001) and similar to group 2 (p = 0.96). Proportions of intraoperative and postoperative adverse events in group 3 were not significantly different from the experienced group (group 2). Regarding oncological outcomes, the 5-year disease-free survival, disease-specific survival, and overall survival in group 3 were not significantly different from the experienced group. ConclusionsIntroducing a novice robotic surgeon, who was trained in accordance with a structured learning curriculum, resulted in similar patient outcomes as by experienced surgeons suggesting novices can progress through a learning phase without compromising outcomes of cervical cancer patients.

Extent of disease and oncologic outcomes in cervical cancer patients undergoing minimally invasive and open radical hysterectomy (172)

Extent of disease and oncologic outcomes in cervical cancer patients undergoing minimally invasive and open radical hysterectomy (172)

PO42: Impact of Race and Socioeconomic Factors on Clinical Outcomes in Cervical Cancer Patients Treated with Brachytherapy

PO42: Impact of Race and Socioeconomic Factors on Clinical Outcomes in Cervical Cancer Patients Treated with Brachytherapy

The association of cervical cancer screening and quality of care: A systematic analysis of the Global Burden of Disease Study 2019.

Improving the quality of care is vital to enhance outcomes for cervical cancer patients. However, the inequality of cervical cancer care was seldomly assessed. We collected the data of cervical cancer burden from the Global Burden of Disease 2019 database, and constructed the Quality of Care Index (QCI) using principle component analysis. Then the disparity of QCI across regions and populations were evaluated. The association between cervical cancer screening coverage and QCI weas also explored. Quality of cervical cancer care was of disparity across regions with different development levels, with a widening gap between low-income regions and others. Cervical cancer QCI dropped rapidly after the age of 35. Cervical cancer screening coverage was positively associated with QCI, and this association was stronger in countries with low- and middle-development levels. Regions with a low development level and the middle-aged women were vulnerable in QCI improvement. Higher screening coverage was associated with better cervical cancer QCI, implying that expanding cervical cancer screening coverage may be an effective strategy to improve the quality of cervical cancer care.

Correlation of Hematological Parameters With Clinical Outcomes in Cervical Cancer Patients Treated With Radical Radio(chemo)therapy: A Retrospective Study

Variations in the levels of systemic inflammatory biomarker levels have been linked with outcomes in various malignancies including cervical cancer. In this study, we investigated prognostic implications of pretreatment hematological factors/indices in locally advanced cervical cancers treated with radical radio(chemo)therapy. Electronic medical records of 1051 patients with cervical cancer of FIGO (International Federation of Gynecology and Obstetrics) stage IB2-IVA treated in various prospective trials at our institute between 2003 and 2017 were reviewed. All clinical parameters such as age (dichotomized at the median), stage (IB2-IIB vs III-IVA), histologic type (squamous vs others), and hematological parameters (hemoglobin, platelets, absolute neutrophil count, absolute lymphocyte count, absolute monocyte count) were recorded. Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and prognostic nutritional index (PNI; defined as 10×albumin concentration [g/dL]+0.005×total lymphocyte count [μL]) were calculated. Univariate and multivariate (Cox regression) analyses were performed to evaluate these factors with disease-free survival (DFS) and overall survival (OS). With a median follow-up of 69 months, the 5-year DFS and OS were 65% and 69%, respectively. On multivariate analysis, FIGO stage (hazard ratio [HR], 1.9; P=.000) and PLR (HR, 1.002; P=.008) significantly affected DFS while FIGO stage (HR, 1.804; P=.000), LMR (HR, 0.92; P=.018), PNI (HR, 0.96; P=.013), and PLR (HR, 1.002; P=.006) significantly affected OS. Apart from FIGO stage, PLR significantly affected both DFS and OS. This correlation of hematological parameters is stronger in stage IIIB cervical cancer. Hematological indices, including PNI, PLR, and LMR, can serve as reliable prognostic indicators for patients with cervical cancer. By incorporating these indices into routine assessment and monitoring, clinicians can better stratify patients, personalize treatment plans, and more accurately predict outcomes, ultimately improving patient care and management.

ZXDC enhances cervical cancer metastasis through IGF2BP3-mediated activation of RhoA/ROCK signaling

Metastasis in cervical cancer (CC) has a significant negative impact on patient survival, highlighting the urgent need for investigation in this area. In this study, we identified significant overexpression of zinc finger, X-linked, duplicated family member C (ZXDC) in CC tissue with metastasis, which correlates with poor outcomes for CC patients. We observed that overexpression of ZXDC promotes, while silencing of ZXDC inhibits the metastasis of CC cells both invitro and invivo. Additionally, our research demonstrated that ZXDC activated RhoA/ROCK signaling pathway, leading to enhanced cytoskeleton remodeling in CC cells. Besides, we found that IGF2BP3 plays an essential role in the activation of ZXDC on the RhoA/ROCK signaling pathway by stabilizing RhoA mRNA. These findings reveal a mechanism whereby ZXDC promotes the cervical cancer metastasis by targeting IGF2BP3/RhoA/ROCK pathway.

Elevated pretreatment squamous cell Carcinoma Antigen indicates unfavorable treatment outcomes in cervical cancer patients receiving definitive radiotherapy

AbstractObjectiveTo investigate the prognostic value of pretreatment squamous cell carcinoma antigen (SCC Ag) levels for treatment failure prediction in patients with cervical cancer.MethodsA quantity of 985 patients satisfying the eligibility criteria were included, with a median follow‐up duration of 63.7 months. The optimal cutoff value for pretreatment SCC Ag levels was verified by the receiver operating characteristic (ROC) curve. Five‐year disease‐free survival (DFS), overall survival (OS), and local control (LC) rates were evaluated utilizing the Kaplan‐Meier method. Log‐rank test and Cox proportional hazards model was implemented to recognize independent prognostic predictors.ResultsThe optimal pretreatment SCC Ag cutoff value was 8.85 ng/mL. Patients with pretreatment SCC Ag levels ≥ 8.85 ng/mL presented significantly inferior 5‐year DFS (63.8% vs. 81.8%), OS (71.7% vs. 88.7%), and LC (80.5% vs. 91.0%) compared to those with levels &lt; 8.85 ng/mL (all p &lt; 0.001). The results of the multivariate analysis indicated that the pretreatment SCC Ag level was an independent predictor of treatment failure (HR,1.772; 95% CI, 1.366 to 2.299; p &lt; 0.001).ConclusionPretreatment SCC Ag is an effective prognostic factor in patients with cervical cancer undergoing definitive radiotherapy, with a ROC‐identified cutoff value of 8.85 ng/mL and elevated SCC Ag indicates unfavorable outcomes.

Identification of cuproptosis-related lncRNA for predicting prognosis and immunotherapeutic response in cervical cancer

Patients diagnosed with advanced cervical cancer (CC) have poor prognosis after primary treatment, and there is a lack of biomarkers for predicting patients with an increased risk of recurrence of CC. Cuproptosis is reported to play a role in tumorigenesis and progression. However, the clinical impacts of cuproptosis-related lncRNAs (CRLs) in CC remain largely unclear. Our study attempted to identify new potential biomarkers to predict prognosis and response to immunotherapy with the aim of improving this situation. The transcriptome data, MAF files, and clinical information for CC cases were obtained from the cancer genome atlas, and Pearson correlation analysis was utilized to identify CRLs. In total, 304 eligible patients with CC were randomly assigned to training and test groups. LASSO regression and multivariate Cox regression were performed to construct a cervical cancer prognostic signature based on cuproptosis-related lncRNAs. Afterwards, we generated Kaplan–Meier curves, receiver operating characteristic curves and nomograms to verify the ability to predict prognosis of patients with CC. Genes for assessing differential expression among risk subgroups were also evaluated by functional enrichment analysis. Immune cell infiltration and the tumour mutation burden were analysed to explore the underlying mechanisms of the signature. Furthermore, the potential value of the prognostic signature to predict response to immunotherapy and sensitivity to chemotherapy drugs was examined. In our study, a risk signature containing eight cuproptosis-related lncRNAs (AL441992.1, SOX21-AS1, AC011468.3, AC012306.2, FZD4-DT, AP001922.5, RUSC1-AS1, AP001453.2) to predict the survival outcome of CC patients was developed, and the reliability of the risk signature was appraised. Cox regression analyses indicated that the comprehensive risk score is an independent prognostic factor. Moreover, significant differences were found in progression-free survival, immune cell infiltration, therapeutic response to immune checkpoint inhibitors, and IC50 for chemotherapeutic agents between risk subgroups, suggesting that our model can be well employed to assess the clinical efficacy of immunotherapy and chemotherapy. Based on our 8-CRLs risk signature, we were able to independently assess the outcome and response to immunotherapy of CC patients, and this signature might benefit clinical decision-making for individualized treatment.

Risk factors for lymph node metastasis and clinical outcomes in cervical cancer patients following primary radical hysterectomy: A single-center analysis of 1495 patients.

e17525 Background: Histopathological information obtained from surgical specimen is important to identify patients at increased risk for disease relapse and mortality. Lymph node metastasis (LNM) carries the highest impact on decreased survival in suspected early-stage cervical cancer. To further identify risk factors for LNM and prognosis in early stage cervical cancer patients is definitely necessary owing to the findings from different centers are inconsistent. Methods: A total 1495 cervical cancer patients were diagnosed with stage IA2-IIA cervical cancer according to clinical stage and underwent radical hysterectomy between April 2009 and December 2020. The stage of all the patients were reclassified after surgery according to FIGO 2018. We analyzed their clinicopathologic data to identify the risk factors for LNM. Among all the patients, the progression-free survival (PFS) and overall survival (OS) of 1109 patients between 2015 and 2020 were collected and analyzed. Results: The incidence of LNM is 18.8% in all 1495 patients, which increases with depth of cervical stromal invasion, tumor size, lymphovascular space involvement (LVSI) and vaginal wall invasion in univariate analysis. Multivariable analysis shows only stromal invasion (OR, 3.0; 95% CI, 1.7–5.3; P &lt; 0.001) and LVSI (OR, 4.9; 95% CI, 3.6-6.7; P&lt;0.001) are to be independent risk factors for LNM. In addition, the clinical parameters age is a protective factor against LNM in both univariate and multivariable analysis(P&lt;0.001). Among the 1109 patients, the median follow-up time is 49.7 months. Multivariate analyses using the Cox proportional hazards model show that LNM (HR, 8.5; 95% CI, 3.0-23.9; P&lt;0.001), stromal invasion (HR, 3.4; 95% CI, 2.2-5.4;P&lt;0.001) and special histologic type (HR, 3.2; 95% CI, 1.4-7.6; P=0.006) are independent prognostic factors for OS as well as PFS in early stage cervical cancer. Conclusions: The pattern of cervical stromal invasion and presence LVSI, but not the primary tumor size, predict risk of nodal metastasis. Cervical stromal invasion, LNM and special histologic type (non-squamous cell carcinoma; non-Adenocarcinoma) are independent prognostic factors for OS as well as PFS in early stage cervical cancer. [Table: see text]

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

BackgroundThe 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.PurposeThe 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 MethodsPretreatment 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 final 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.ResultsThe 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.ConclusionOur study shows the promising predictive performance of robust radiomic signature to predict 5-year overall survival in cervical cancer patients.

Reproductive and Obstetric Outcomes after Fertility-Sparing Treatments for Cervical Cancer: Current Approach and Future Directions

Cervical cancer is one of the leading causes of cancer-related death in women of reproductive age. The established fertility-sparing approaches for the management of early-stage cervical cancer for women who plan pregnancy are associated with a decline in fecundity and an increased risk of pregnancy complications. This article aims to offer an overview of fertility-sparing approaches and the management of potential subfertility and pregnancy complications after these treatments. An extensive search for the available data about infertility and cervical cancer, fertility-sparing techniques in patients with cervical cancer, fertility treatment, obstetrical complications, and pregnancy outcomes in cervical cancer patients was completed. Fertility-preserving procedures such as loop electrosurgical excision procedure (LEEP), cold-knife conization, and trachelectomy in women diagnosed with cervical cancer can be considered as safe and effective treatments that preserve reproductive potential. Current fertility-preserving procedures, based on the balance of the oncological characteristics of patients as well as their desire for reproduction, allow one to obtain acceptable reproductive and obstetric outcomes in women treated for cervical cancer. Nevertheless, careful monitoring of pregnancies obtained after fertility-preserving procedures is recommended, since this cohort of patients should be considered at higher risk compared with a healthy population.

Incidence, prognostic factors and a nomogram of cervical cancer with distant organ metastasis: a SEER-based study

This study was to investigate the incidence, survival and prognostic factors of cervical cancer with distant organ metastasis, and to develop a nomogram to predict the prognosis of cervical cancer. We used the Surveillance, Epidemiology and End Results (SEER) database to screen patients diagnosed with cervical cancer from 2010 to 2014. The chi-squared test was used to analyse the differences in clinical characteristics, and we used Kaplan–Meier methods to perform survival analysis. Univariate and multivariate Cox proportional hazard regression models were used to estimate prognostic factors, and we developed a visual nomogram to judge the prognosis. We found that lung metastasis was the most common in cervical cancer patients with distant organ metastasis. Age, race, characteristics of the tumour, and therapy should be considered when analysing the prognosis of cervical cancer patients. The findings of this study may help clinicians to formulate individualised treatment strategies. Impact Statement What is already known on this subject? Distant organ metastasis of cervical cancer mainly involves lung, bone, liver and brain. Once it occurs, the survival and prognosis will be threatened seriously. What the results of this study add? 4176 patients were included, and lung metastasis was the most common in cervical cancer with distant organ metastasis (3.5%). Additionally, age, race, tumour grade, histological type, T-stage, N-stage, lung, liver and bone metastasis and the treatment mode are significantly related to the outcomes of cervical cancer patients. Furthermore, we developed a nomogram that could predict the probability of three-year and five-year OS. What the implications are of these findings for clinical practice and/or further research? The findings of this study may drive more and more studies focussing on the comprehensive prognostic assessment, diagnosis, and treatment of distant metastasis of cervical cancer. Besides, clinicians can utilise these findings to formulate individualised treatment strategies.

Expression of Progesterone Receptor A as an Independent Negative Prognosticator for Cervical Cancer.

The role of progesterone receptor A (PRA) for the survival outcome of cervical cancer patients is ambiguous. In mouse models, it has been shown that PRA plays a rather protective role in cancer development. The aim of this study was to assess its expression by immunohistochemistry in 250 cervical cancer tissue samples and to correlate the results with clinicopathological parameters including patient survival. PRA expression was positively correlated with the International Federation of Gynecology and Obstetrics (FIGO) classification scores. PRA was significantly overexpressed in adenocarcinomas compared to squamous epithelial carcinoma subtypes. Correlation analyses revealed a trend association with the HPV virus protein E6, a negative correlation with p16 and a positive correlation with EP3. PRA expression was also associated with the expression of RIP140, a transcriptional coregulator that we previously identified as a negative prognostic factor for survival in cervical cancer patients. Univariate survival analyses revealed PRA as a negative prognosticator for survival in patients with cervical adenocarcinoma. Multivariate analyses showed that simultaneous expression of RIP140 and PRA was associated with the worst survival, whereas with negative RIP140, PRA expression alone was associated with the best survival. We can therefore assume that the effect of nuclear PRA on overall survival is dependent upon nuclear RIP140 expression.