Outcomes Of Cervical Cancer Patients Research Articles

Patient-reported sexual health outcomes of cervical cancer patients treated with definitive chemoradiation and MRI-guided brachytherapy

BackgroundSexual health is an important survivorship issue in cervical cancer. We assessed patient-reported sexual health outcomes and correlations with oncologist-assessed vaginal toxicity (VT). MethodsThis was a prospective, cross-sectional study of stage IB-IVA cervical cancer patients treated with definitive chemoradiation, who completed a socio-demographic questionnaire and the following patient-reported-outcomes (PROs): Female Sexual Function Index (FSFI), Female Sexual Distress Scale-Revised (FSDS-R), Menopause Rating Scale (MRS), Hospital Anxiety and Depression Scale (HADS). VT was assessed using the CTCAE v4.0. Sociodemographic, clinical data, PROs and VT were summarized using descriptive statistics; correlations were evaluated using linear regression analyses. ResultsBetween August 2018 and April 2022, 73 patients were analyzed. Median age was 49 (range 25–81), 57.5% had vaginal involvement at diagnosis and 76.9% were partnered. Sexual dysfunction (FSFI score ≤ 26), sexual distress (FSDS-R ≥ 11), severe menopausal symptoms (MRS ≥ 17), anxiety (HAD-Anxiety >7) and depression (HAS-Depression >7) were reported in 86.3%, 54.5%, 36.2%, 46.6% and 24.7%, respectively. Grade 2+ VT was reported in 27.4%. No significant associations were found between PROs and VT. On multivariable analysis, non-partnered status, use of hormone replacement therapy, and International Commission on Radiation Units and Measurements – rectovaginal dose (ICRU-RV) >65Gy were associated with worse sexual health (p < 0.005). ConclusionCervical cancer patients self-report high rates of sexual distress, dysfunction and menopause symptoms. Discordance between oncologist-assessed VT and PROs highlights the importance of evaluating the patient's experience. Proactive treatment of menopausal symptoms and attention to radiotherapy doses to the vagina should be considered.

Barriers to the Completion of Radiation Therapy in Cervical Cancer Treatment in Nigeria: A Review of Socioeconomic, Geographical, and Psychosocial Factors.

Cervical cancer is a major health concern in Nigeria, where it is one of the primary causes of cancer-related deaths among women. Despite the crucial role of radiation therapy in treating cervical cancer, many patients in Nigeria do not complete their prescribed treatment courses. This review examines the barriers contributing to this issue. Factors such as low awareness and utilization of Pap smears, inadequate HPV vaccination, financial constraints, insufficient radiotherapy infrastructure, and the psychological burden of cancer treatment are explored. Limited screening and vaccination efforts exacerbate the high incidence of cervical cancer in Nigeria. Financial barriers are a primary obstacle, with many patients unable to afford the high cost of radiotherapy. Nigeria's radiotherapy infrastructure is severely lacking leading to significant treatment delays and cancellations. Geographical barriers further complicate access, as many patients must travel long distances to reach treatment centers. Psychosocial issues, including anxiety and depression, significantly impact treatment adherence and completion. These psychological factors, coupled with the physical side effects of radiotherapy, contribute to high rates of treatment interruption. To address these challenges, the review suggests enhancing cervical cancer prevention through increased human papillomavirus (HPV) vaccination and screening, expanding radiotherapy capacity by increasing the number of treatment centers, and providing comprehensive support systems to address financial and psychosocial barriers. By implementing these strategies, it is possible to improve treatment adherence and outcomes for cervical cancer patients in Nigeria.

Hematological Parameters at Baseline: A Novel Prognostic Factor for Cervical Cancer Patients Undergoing Concurrent Chemoradiotherapy in South India.

Introduction In cervical cancer treatment, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and albumin-globulin ratio (AGR) are being studied as potential prognostic markers for predicting the effectiveness of concurrent chemoradiotherapy (CCRT). This study aims to investigate the relationship between these biomarkers and survival outcomes in cervical cancer patients undergoing CCRT. Materials and methods This retrospective study was conducted at Amrita Institute of Medical Sciences between January 2016 and December 2019. It included patients at any stage who received definitive CCRT and were followed for at least two years post-treatment. Patients who had initial surgery and those lost to follow-up were excluded. Results The study included 123 patients with a median age of 68. Most patients had stage IIB (39%) and squamous cell carcinoma (76.4%). With a median follow-up of 56 months, the five-yearoverall survival (OS) was 66.8%, progression-free survival (PFS) was 94%, and recurrence-free survival (RFS) was 81.2%.AGR (p = 0.001), NLR (p = 0.0001), and PLR (p = 0.001) were found to be significantly associated with OS, NLR (p = 0.002) and AGR (p = 0.001) significantly affected RFS, while only PLR (p = 0.02) significantly affected PFSon univariate analysis. NLRsignificantly impacted OS (p = 0.003) and RFS(p = 0.03) on multivariate analysis. Conclusion The results of our study showed that increased NLR and elevated levels of albumin indicate a higher likelihood of mortality. Furthermore, a higher NLR was linked to an increased probability of recurrence in patients with cervical cancer who received primary treatment with CCRT. Therefore, the identification of predictive biomarkers could significantly improve the assessment of progression risk, aiding in the selection of the most suitable treatment and personalized therapy.

Comparing oncological outcomes of robotic versus open surgery in the treatment of endometrial cancer.

Robotic surgery has been incorporated in the treatment of endometrial cancer, with evidence suggesting that minimal access surgery offers advantages over laparotomy including less blood loss, lower rate of perioperative complications, and accelerated postoperative recovery. The laparoscopic approach to cervical cancer (LACC) study has recently demonstrated inferior survival outcomes in cervical cancer patients treated with minimal access surgery including robotic surgery. It is, therefore, imperative that further evaluation of the latter in endometrial cancer is performed. A retrospective analysis of clinical data was performed. We compared two different types of surgery performed for the treatment of FIGO stage 1 to 3 endometrial cancer; open surgery performed in the years 2013-2015 vs robotic surgery performed in 2017-2019, after the implementation of the robotic program in our institution. Main outcome measures were recurrence-free survival and overall survival, with secondary outcomes including surgical morbidity and postoperative recovery. We compared 123 patients who had open surgery with 104 patients who underwent robotic surgery. One case from the second group was converted to open surgery due to the inability to complete it robotically. After a median follow-up of 68months, there was no difference in recurrence-free survival or overall survival between the two groups. Length of stay after an operation was significantly different with mean hospital stay of 1.6days after robotic surgery and 5days after open surgery (p = 0.001). No significant difference was identified in the rate of complications (p = 0.304). Our analysis has demonstrated that robotic surgery offers better perioperative outcomes without compromising the oncological safety.

Long-term analysis of hematological parameters as predictors of recurrence patterns and treatment outcomes in cervical cancer patients undergoing definitive chemoradiotherapy

PurposeThis study sought to determine the predictive and prognostic value of clinicopathological parameters and neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and hemoglobin (Hgb) level in predicting recurrence patterns and locoregional relapse-free survival (LRFS) and distant metastasis-free survival (DMFS) in cervical cancer patients receiving definitive chemoradiotherapy (ChRT).MethodsThis study included 261 cervical cancer patients treated with ChRT. The primary endpoints were the predictors of local recurrence (LR) and distant metastasis (DM), whereas the secondary endpoints were LRFS and DMFS. The association of survival with potential prognostic factors was analyzed using Cox regression analysis, and the predictors of LR and DM were identified using logistic regression analysis.ResultsThe median follow-up time was 10.9 years. Recurrences occurred in 132 patients (50.6%) within a median of 11.2 months after definitive ChRT. NLR and PLR values were significantly higher in patients with LR and DM than in those without, with no significant differences in Hgb levels in patients with or without LR and DM. In the multivariable logistic regression analysis, lymph node metastasis, elevated NLR, and low Hgb level were significantly correlated with LR and DM. In the multivariable analysis, large tumor size, presence of lymph node metastasis, and elevated NLR were the independent predictors for poor LRFS and DMFS, and Hgb level was an additional prognostic factor for DMFS.ConclusionHematological markers, particularly NLR and Hgb, may serve as cost-effective and readily accessible indicators for predicting recurrence and survival in cervical cancer patients, contributing to their practical use in routine assessments.

Long term clinical outcomes of cervical cancer patients who were recommended surgery but did not undergo it: A SEER database study

BackgroundThis study analyzed the long-term clinical outcomes of cervical cancer patients recommended surgery but who did not undergo it using the Surveillance, Epidemiology, and End Results (SEER) database. The aim was to identify the subgroups with comparable overall survival (OS) and cancer-specific survival (CSS) through stratified analysis. MethodsCases of cervical cancer were retrieved from SEER database using SEER*Stat software. This included patients in the non-surgery group (recommended surgery but did not undergo it), and a reference surgery group. Propensity score matching balanced differences between the non-surgery and surgery groups. Stratified analysis and log-rank tests were used to identify subgroups within the non-surgery group with comparable OS and CSS to the surgery group. ResultsA total of 30,807 cervical cancer patients were included in the OS and CSS analysis. In the matched cohort (n = 1278), patients in the non-surgery group had significantly lower 5-year CSS (63.2 % vs. 80.1 %, P < 0.001) and 5-year OS (59.0 % vs. 78.0 %, P < 0.001). However, within the matched cohort, there was no statistically significant difference in OS and CSS between the non-surgery and surgery groups in subgroups diagnosed during 2010–2014 (P = 0.064, P = 0.182), 2015–2020 (P = 0.122, P = 0.518), T2 stage (P = 0.139, P = 0.052), T3 stage (P = 0.502, P = 0.317), or with distant metastasis (M1) (P = 0.411, P = 0.520). ConclusionPatients in the non-surgery group generally exhibited lower long-term clinical outcomes compared to those in the surgery group. However, with advancements in non-surgical treatment techniques, particularly notable in patients with T2, T3, and M1 stages, these differences are gradually diminishing.

Clinical Outcomes of 3 Versus 4 Fractions of Magnetic Resonance Image-Guided Brachytherapy in Cervical Cancer

PURPOSEMRI-guided brachytherapy (MRgBT) is essential in the management of locally advanced cervical cancer. This study compares disease and toxicity outcomes in cervical cancer patients treated with 24 Gy/3 fractions (Fr) versus the conventional 28 Gy/4 Fr. METHODS AND MATERIALSThis retrospective study included 241 consecutive patients with FIGO 2018 stage IB-IVA cervical cancer treated with definitive chemoradiation between April 2014 - March 2021. Disease-free survival (DFS) was estimated using the Kaplan-Meier method and compared using the log-rank test. Cumulative incidence of local failure (LF), distant failure (DF) and G2+ gastrointestinal (GI), urinary (GU) and vaginal toxicity were estimated using the cumulative incidence function with death as a competing risk and compared using the Gray's test. RESULTSOf the 241 patients, 42% received 24 Gy/3 Fr and 58% received 28 Gy/4 Fr. With a median follow up of 3.2 (range 0.2-9.2) years, there were 14 local, 41 regional nodal and 51 distant failures in 63 (26%) patients. No significant differences were found between the 24 Gy/3 Fr vs 28 Gy/4 Fr group in 3-year DFS (77% vs 68%, P = 0.21), 3-year cumulative incidence of LF (5% vs 7%, P = 0.57), DF (22% vs 25%, P = 0.86), G2+ GI toxicity (11% vs 20%, P = 0.13), or G2+ vaginal toxicity (14% vs 17%, P = 0.48), respectively. The 3-year cumulative G2+ urinary toxicity rate was lower in the 24 Gy/3 Fr group (9% vs 23%, P = 0.03). CONCLUSIONCervical cancer patients treated with 24 Gy/3 Fr had similar DFS, LF, DF, GI and vaginal toxicity rates, and a trend towards lower G2+ urinary toxicity rate compared to those treated with 28 Gy/4 Fr. A less resource-intensive brachytherapy fractionation schedule of 24 Gy/3 Fr is a safe alternative to 28 Gy/4 Fr for definitive treatment of cervical cancer.

Immune cell infiltration and prognostic index in cervical cancer: insights from metabolism-related differential genes.

Cervical cancer remains a significant gynecologic malignancy in both China and the United States, posing a substantial threat to women's lives and health due to its high morbidity and mortality rates. Altered energy metabolism and dysregulated mitochondrial function play crucial roles in the development, growth, metastasis, and recurrence of malignant tumors. In this study, we aimed to predict prognosis and assess efficacy of anti-tumor therapy in cervical cancer patients based on differential genes associated with mitochondrial metabolism. Transcriptomic data and clinical profiles of cervical cancer patients were retrieved from the TCGA and GEO databases. Differential gene-related cellular pathways were identified through GO, KEGG, and GSEA analyses. Prognostic indices were constructed using LASSO regression analysis. Immune cell infiltration was assessed using CIBERSORT and ssGSEA, and the correlation between immune checkpoint inhibitor genes and differential genes was examined. Tumor mutation load (TMB) and its association with prognostic indices were analyzed using nucleotide variant data from the TCGA database. Patient response to immunotherapy and sensitivity to antitumor drugs were determined using the TIDE algorithm and the oncoPredic algorithm, respectively. A prognostic index based on metabolism-related differential genes was developed to predict the clinical outcome of cervical cancer patients, enabling their classification into two distinct subtypes. The prognostic index emerged as an independent risk factor for unfavorable prognosis. The high-index group exhibited a significantly worse overall prognosis, along with elevated tumor mutation burden (TMB), increased immune cell infiltration, and lower TIDE scores, indicating a potential benefit from immunotherapy. Conversely, the low-index group demonstrated increased sensitivity to metabolism-related antitumor agents, specifically multikinase inhibitors. The aim of this study was to develop a prognostic index based on differential genes associated with mitochondrial metabolism, which could be used to predict cervical cancer patients' prognoses. When combined with TIDE and TMB analyses, this prognostic index offers insights into the immune cell infiltration landscape, as well as the potential efficacy of immunotherapy and targeted therapy. Our analysis suggests that the Iron-Sulfur Cluster Assembly Enzyme (ISCU) gene holds promise as a biomarker for cervical cancer immunotherapy.

Machine learning-based radiomics for predicting outcomes in cervical cancer patients undergoing concurrent chemoradiotherapy

PurposesTo investigate the value of machine learning-based radiomics for predicting disease-free survival (DFS) and overall survival (OS) undergoing concurrent chemoradiotherapy (CCRT) for patients with locally advanced cervical cancer (LACC). Materials and methodsIn this multicentre study, 700 patients with IB2-IVA cervical cancer who underwent CCRT with ongoing follow-up were retrospectively analyzed. Three-dimensional radiomics features of primary lesions and its surrounding 5 mm region in T2WI sequences were collected. Six machine learning methods were used to construct the optimal radiomics model for accurate prediction of DFS and OS after CCRT in LACC patients. Eventually, TCGA and GEO databases were used to explore the mechanisms of radiomics in predicting the progression and survival of cervical cancer. This study adhered CLEAR for reporting and its quality was assessed using RQS and METRICS. ResultsIn the prediction of DFS, the RSF model combined tumor and peritumor radiomics demonstrated the best predictive efficacy, with the AUC for predicting 1-year, 3-year, and 5-year DFS in the training, validation, and test sets of 0.986, 0.989, 0.990, and 0.884, 0.838, 0.823, and 0.829, 0.809, 0.841, respectively. In the prediction of OS, the GBM model best performer, with AUC of 0.999, 0.995, 0.978, and 0.981, 0.975, 0.837, and 0.904, 0.860, 0.905. Differential genes in TCGA and GEO suggest that the prediction of radiomics model may be associated with KDELR2 and HK2. ConclusionMachine learning-based radiomics models help to predict DFS and OS after CCRT in LACC patients, and the combination of tumor and peritumor information has higher predictive efficacy, which can provide a reliable basis for therapeutic decision-making in cervical cancer patients.

710: Body composition and inflammation affect outcome of cervical cancer patients under radiochemotherapy

710: Body composition and inflammation affect outcome of cervical cancer patients under radiochemotherapy

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.

A survival nomogram involving nutritional-inflammatory indicators for cervical cancer patients receiving adjuvant radiotherapy.

Objective: The combined impact of nutritional and inflammatory status on survival of cervical cancer patients remained unclear. This study aimed to construct a survival nomogram involving both nutritional and inflammatory indicators and evaluate their potential correlation. Methods: This retrospective study included 325 cervical cancer patients who received adjuvant radiotherapy between September 2010 and September 2020. Baseline nutritional indicators such as body mass index (BMI), controlling nutritional status (CONUT) and serum albumin were assessed. Inflammatory indicators of platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), systemic immune inflammation index (SII) and system inflammation response index (SIRI) were evaluated respectively. The LASSO regression and Cox regression models were applied for variable selection and nomogram building. The predictive accuracy and superiority of prognostic model were assessed by area under curve (AUC), C-index, decision curve analysis (DCA), integrated discrimination improvement (IDI) and net reclassification improvement (NRI). Results: Patients with high inflammatory indicators (PLR, NLR and SII) and poor nutritional status (CONUT scores > 2) suffered poorer prognosis compared to these with well nutritional status and lower inflammation levels. Our study unveiled a positive correlation between malnutrition and hyperinflammation. Even after accounting for baseline inflammatory level, malnutrition remained a significant risk factor for patients. Notably, the inflammatory level and nutritional status were further modulated by the clinical features of patients. Patients with poorer nutritional status exhibited higher levels of PLR, NLR, SII and SIRI, particularly for those in advanced clinical stages and with non-squamous cell carcinoma. In addition, our study found elevated levels of circulating basophil and serum carbohydrate antigen 125 (CA125) were associated with the poor prognosis. The prognostic nomogram which incorporated the nutritional-inflammatory indicators of PLR and CONUT showed a favorable performance with the AUC value of 0.76 at 5-year survival prediction. The DCA, IDI and NRI consistently demonstrated the favorable superiority of the model. Moreover, the nomogram-based risk stratification system could effectively classify patients into three mortality risks subgroups. Conclusions: Poorer nutritional and high inflammatory status collectively contributed to the poorer prognosis. The prognostic nomogram which incorporated nutritional-inflammatory indicators significantly improved the prediction of long-term outcomes of cervical cancer patients undergoing adjuvant radiotherapy.

Alantolactone Induced Apoptosis and DNA Damage of Cervical Cancer through ATM/CHK2 Signaling Pathway.

Traditional Chinese Medicine, known for its minimal side effects and significant clinical efficacy, has attracted considerable interest for its potential in cancer therapy. In particular, Inula helenium L. has demonstrated effectiveness in inhibiting a variety of cancers. This study focuses on alantolactone (ALT), a prominent compound from Inula helenium L., recognized for its anti-cancer capabilities across multiple cancer types. The primary objective of this study is to examine the influence of ALT on the proliferation, apoptosis, cell cycle, and tumor growth of cervical cancer (CC) cells, along with its associated signaling pathways. To determine protein expression alterations, Western blot analysis was conducted. Furthermore, an in vivo model was created by subcutaneously injecting HeLa cells into nude mice to assess the impact of ALT on cervical cancer. Our research thoroughly investigates the anti-tumor potential of ALT in the context of CC. ALT was found to inhibit cell proliferation and induce apoptosis in SiHa and HeLa cell lines, particularly targeting ataxia-telangiectasia mutated (ATM) proteins associated with DNA damage. The suppression of DNA damage and apoptosis induction when ATM was inhibited underscores the crucial role of the ATM/cell cycle checkpoint kinase 2 (CHK2) axis in ALT's anti-tumor effects. In vivo studies with a xenograft mouse model further validated ALT's effectiveness in reducing CC tumor growth and promoting apoptosis. This study offers new insights into how ALT combats CC, highlighting its promise as an effective anti-cervical cancer agent and providing hope for improved treatment outcomes for CC patients.

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.