Cervical Cancer Patients Research Articles

Real world data on cervical cancer treatment patterns, healthcare access and resource utilization in the Brazilian public healthcare system.

The aim of the study is to evaluate the treatment patterns, time to start treatment, and healthcare resources utilization (HCRU) of cervical cancer (CC) patients within the Brazilian public health system (SUS). This is an observational retrospective study using SUS administrative database (DATASUS). Data from January-2014 to December-2020 was gathered from patients with the ICD-10 C53 codes. From 2014 to 2020, 206,861 women were included, among whom 90,073 (43.5%) had stage information. Of staged patients, 60.7% (54,719) had advanced disease (stages III and IV) and the most performed treatments were chemoradiotherapy (CRT) (41.6%), surgery + CRT (19.1%), radiotherapy (RT) only (16.8%) and chemotherapy (CT) only (13.3%). The proportion of patients submitted to CT in advanced stages was higher than in non-advanced stages (I and II), in contrast to RT, which was more frequent in stage I than stage IV. Median time to initiate treatment surpassed two months in approximately 30% of the cases, regardless of stage. Conization was the most performed surgical procedure. The hospitalization rate per patient per month for stage IV was twice as high as stage I (0.05 [95%CI 0.05-0.05] and 0.11 [0.11-0.11], respectively). The same trend was observed for outpatient visits (0.54 [95%CI 0.53-0.55] and 0.96 [0.93-0.98], respectively). This study demonstrated a high proportion of advanced CC at diagnosis in Brazil. The treatment pattern showed that chemoradiotherapy was the most frequent regimen overall and the use of chemotherapy and HCRU increased with staging. These results could provide information to improve public policies towards access to prevention, diagnosis, and treatment of CC in Brazil.

Locally advanced cervical cancer: Neoadjuvant chemotherapy plus radical surgery an alternative approach to chemo-radiation in a low-income setting: A descriptive study.

To describe the treatment outcomes of locally advanced cervical cancer managed with neoadjuvant chemotherapy (NACT) plus radical surgery at a gynecology oncology center in Ethiopia. This was a retrospective descriptive study of management of locally advanced cervical cancer (LACC) at St. Paul's Hospital Millennium Medical College (Ethiopia) over 5 years. Data were collected by reviewing patient records. Data were analyzed using SPSS version 23. Simple descriptive analysis was employed to analyze clinical, histologic, and treatment outcomes of LACC managed with NACT+ radical surgery. Frequency and proportions were used to present the results' significance. A total of 98 patients were analyzed. One-third (31.6%) of cervical cancer patients with locally advanced disease were operable after neoadjuvant chemotherapy. Out of this, nodal metastasis was found in 2 patients (all pelvic lymph node metastasis). Disease recurrence within 2 years was 3% (1 recurrence within 6-12 months and 2 recurrences at 12-24 months). This study supports utilization of NACT plus radical surgery for locally advanced cervical cancer, where chemoradiation is not readily available. Our findings imply that this treatment modality is a life-saving alternative treatment in a low-income setting, which is often married by shortage or unavailability of radiotherapy at the needed time before disease progression ensues.

The intra-tumoral microbiome as a potential biomarker of response to external beam radiation therapy in cervical cancer

BackgroundWe aimed to determine the potential predictive value of the intra-tumoral microbiome as a marker of the response to external beam radiation therapy (EBRT) in cervical cancer (CC).MethodsA prospective longitudinal trial of 36 CC patients receiving pelvic radiotherapy was designed to investigate microbial characteristic signatures and diversity (alpha and beta) of multiple sites (tumor, vaginal, gut, urethral, and oral) in the superior response (SR) and inferior response (IR) groups of CC patients by 16S rRNA sequencing. Utilized the least absolute shrinkage and selection operator (LASSO) logistic regression method to analyze clinicopathological factors that potentially influenced the efficacy of EBRT. LEfSe analysis highlighted the microbiome features that best distinguished the categorized patient samples. Selected parameters were validated with Spearman correlation analysis, receiver operating characteristic (ROC) area under the curve (AUC) analysis and Kaplan-Meier survival analysis.ResultsFirstly, in our cohort, LASSO logistic regression analysis revealed no association between clinicopathological factors and EBRT efficacy. Subsequently, we employed 16S rRNA sequencing to compare microbiome differences across multiple sites and their correlations with major clinicopathological factors. We discovered that the intra-tumoral microbiome was independent of clinicopathologic features and represented the most direct and reliable reflection of the microbial differences between the SR and IR groups. We found lower alpha diversity in the tumor microbiome of SR group and identified the most relevant microbiome taxa (Bifidobacteriaceae, Beijerinckiaceae, and Orbaceae) associated with the efficacy of the response to EBRT in CC patients. We then conducted ROC analysis, finding that specific microbial taxa had an AUC of 0.831 (95% CI, 0.667–0.995), indicating the potential of these taxa as biomarkers for predicting EBRT efficacy. Kaplan-Meier survival analysis showed a better prognosis for patients with lower alpha diversity and higher relative abundance of Bifidobacteriaceae.ConclusionsOur data suggested that intra-tumoral specific microbiome taxa and lower alpha diversity may play an important role in the CC patient sensitivity to EBRT and offer novel potential biomarkers for predicting the response to EBRT efficacy.

Intraoperative Radiation Therapy for Recurrent Cervical and Endometrial Cancer: Predicting Morbidity and Mortality in a Contemporary Cohort

Background/Objectives: Our objective was to describe the use of intraoperative radiation therapy (IORT) for the treatment of recurrent/persistent cervical or endometrial cancer and assess predictors of postoperative complications and 3-year mortality. Methods: In this multi-site retrospective study, data were abstracted for recurrent/persistent endometrial or cervical cancer patients who underwent IORT from June 2004 to May 2021. Complications were graded on the six-point Accordion scale. Variables associated with complications were analyzed with univariate logistic regression, while variables associated with death within 3 years were analyzed with Cox proportional hazards modeling. Survival was analyzed with the Kaplan–Meier method. Results: Eighty patients had planned IORT for recurrent/persistent endometrial (n = 35) or cervical cancer (n = 45). The mean age of the cohort was 56.8 years (SD = 13.7), and the median disease-free interval from primary disease to recurrence was 20.0 months (IQR 10.0–63.1). The overall survival at 3 years was 48.6% (95% CI: 38.3–61.6%) with a median survival of 2.8 years. Within 30 days postoperative, 16 patients (20.1%) had grade 3–5 complications and one death (1.3%) occurred. Factors associated with grade 3+ complication included ECOG PS 2–3 (OR 18.00, p = 0.04), neoadjuvant chemotherapy and/or immunotherapy (OR 6.98, p < 0.01), and pelvic sidewall involvement (OR 8.80, p = 0.04). Factors associated with death within 3 years of surgery included ECOG PS 2–3 (HR 8.97, p < 0.01), neoadjuvant chemotherapy and/or immunotherapy (HR 2.34, p = 0.03), whether exenteration was performed (HR 2.64, p = 0.01), and positive resection margin (HR 3.37, p < 0.01). Conclusions: In well-selected patients, IORT is a feasible and safe option for the treatment of recurrent/persistent gynecologic malignancy with an appreciable survival benefit.

Developing HPV Vaccination Communication Strategies: Assessing Knowledge, Attitudes, and Barriers Among Healthcare Professionals in Kazakhstan

Background: Cervical cancer, predominantly caused by human papillomavirus, remains a major public health issue globally and in Kazakhstan, where it ranks among the most common cancers in women. A pilot HPV vaccination programme in Kazakhstan was suspended in 2017 due to mass parental refusals, and it is planned to be restarted in the coming years. This study aims to assess the knowledge, attitudes, barriers, and sources of information about HPV and the HPV vaccine among healthcare professionals in Kazakhstan. Methods: A cross-sectional study (December 2022–May 2023) involving 1189 healthcare professionals in Kazakhstan used a self-administered questionnaire. Statistical analysis included descriptive statistics, mean knowledge score, between-group comparisons, and binary logistic regression to identify factors linked to higher knowledge and vaccine recommendation. Results: The study found that the average knowledge score for HPV and the HPV vaccine among participants was 11 out of a possible 18. Correct answers to the questionnaire were observed more frequently among physicians than among nurses (p < 0.001). In our study, 72.6% of healthcare professionals expressed a positive intention to recommend the HPV vaccine. The likelihood of recommending the HPV vaccine was significantly higher among those with higher knowledge of HPV and its vaccine (OR 1.8; 95% CI 1.3–2.5; p < 0.001), those familiar with cervical cancer patients (OR 2.0; 95% CI 1.5–2.8; p < 0.001), and those with positive attitudes towards the COVID-19 vaccine and childhood vaccination (OR 2.3 and 1.5, respectively). Healthcare professionals identified key barriers to HPV vaccination, including public mistrust (49.4%), fear of side effects (45.9%), and insufficient knowledge among healthcare professionals themselves (30.3%). Information from the internet, including articles and journals, was the most commonly used source of information, followed by social media and colleagues. Conclusions: The disparities identified call for a tailored, multifaceted communication strategy that addresses the diverse needs of health professionals to address the differences in awareness between different groups, in order to ensure successful implementation and coverage of HPV vaccination across Kazakhstan.

Artificial Intelligence-Based Sentinel Lymph Node Metastasis Detection in Cervical Cancer

Background/objectives: Pathological ultrastaging, an essential part of sentinel lymph node (SLN) mapping, involves serial sectioning and immunohistochemical (IHC) staining in order to reliably detect clinically relevant metastases. However, ultrastaging is labor-intensive, time-consuming, and costly. Deep learning algorithms offer a potential solution by assisting pathologists in efficiently assessing serial sections for metastases, reducing workload and costs while enhancing accuracy. This proof-of-principle study evaluated the effectiveness of a deep learning algorithm for SLN metastasis detection in early-stage cervical cancer. Methods: We retrospectively analyzed whole slide images (WSIs) of hematoxylin and eosin (H&E)-stained SLNs from early-stage cervical cancer patients diagnosed with an SLN metastasis with either H&E or IHC. A CE-IVD certified commercially available deep learning algorithm, initially developed for detection of breast and colon cancer lymph node metastases, was employed off-label to assess its sensitivity in cervical cancer. Results: This study included 21 patients with early-stage cervical cancer, comprising 15 with squamous cell carcinoma, five with adenocarcinoma, and one with clear cell carcinoma. Among these patients, 10 had macrometastases and 11 had micrometastases in at least one SLN. The algorithm was applied to evaluate H&E WSIs of 47 SLN specimens, including 22 that were negative for metastasis, 13 with macrometastases, and 12 with micrometastases in the H&E slides. The algorithm detected all H&E macro- and micrometastases with 100% sensitivity. Conclusions: This proof-of-principle study demonstrated high sensitivity of a deep learning algorithm for detection of clinically relevant SLN metastasis in early-stage cervical cancer, despite being originally developed for adenocarcinomas of the breast and colon. Our findings highlight the potential of leveraging an existing algorithm for use in cervical cancer, warranting further prospective validation in a larger population.

Comparative Diagnostic Value of 18F-FDG–PET–CT and Intraoperative Examination in Cervical Cancer Staging

Background and Objectives: The primary objective of this study is to assess the effectiveness of 18F-FDG–PET–CT in preoperative staging of cervical cancer, focusing on determining surgical operability and exploring the correlation between its quantitative parameters and clinicopathological characteristics. Materials and Methods: This retrospective study included 62 cervical cancer patients treated at the Department of Gynecology, Clinic for Operative Oncology at the Institute of Oncology Vojvodina between January 2016 and January 2020, where preoperative clinical examinations and 18F-FDG–PET–CT were performed to assess the extent of cancer, followed by intraoperative and pathohistological examinations of surgically removed specimens to provide a comprehensive evaluation. Results: The mean tumor size measured by 18F-FDG–PET–CT was slightly greater than that obtained through clinical examination (26.4 mm vs. 26.0 mm), with a strong linear correlation (r = 0.678, p < 0.001) observed between the two measurement methods. The overall prediction accuracy of 18F-FDG–PET–CT for primary tumors is 88.7% (55/62) [sensitivity 86.8%, specificity 100.0%, PPV 100.0%, NPV 56.2%] and for intraoperative examination is 88.7% (55/62) [sensitivity 98.1%, specificity 33.3%, PPV 89.7%, NPV 75.0%]. The agreement with histopathological examination was good for 18F-FDG–PET–CT and moderate for intraoperative examination for primary tumors. Regarding lymph nodes, the overall prediction accuracy of 18F-FDG–PET–CT is 82.2% (51/62) [sensitivity 53.8%, specificity 89.8%, PPV 58.3%, NPV 88.8%] and for intraoperative examination 66.1% (41/62) [sensitivity 76.9%, specificity 63.3%, PPV 35.7%, NPV 91.2%]. The agreement with histopathological examination was moderate for 18F-FDG–PET–CT and poor for intraoperative examination for lymph node metastasis, highlighting that the overall accuracy of 18F-FDG–PET–CT (82.1%) was significantly higher than that of intraoperative examination (66.1%) (p = 0.002). Conclusions: In conclusion, 18F-FDG–PET–CT provides high accuracy in detecting primary tumors and superior predictive value for lymph node metastases compared to intraoperative examination, highlighting the importance of incorporating this imaging modality into the preoperative evaluation process to enhance diagnostic precision and inform treatment decisions.

Germline Variants in Proto-Oncogenes and Tumor Suppressor Genes in Women with Cervical Cancer

Background/Objectives: Cervical cancer (CC) remains a significant global health challenge, characterized by genetic heterogeneity and a complex molecular landscape, both of which contribute to its pathogenesis. This study aimed to investigate germline variants in proto-oncogenes and tumor suppressor genes in cervical cancer patients, with the objective of clarifying their potential role in disease development. Methods: We utilized a custom next-generation sequencing (NGS) panel targeting 48 genes implicated in oncogenesis. Germline DNA samples from cervical cancer patients were analyzed in order to identify nucleotide sequence alterations. Variants were classified according to pathogenicity and clinical relevance, based on established guidelines. Results: A total of 148 nucleotide variants were detected within the cohort. Of these, 35 variants (23.6%) were classified as benign. In contrast, 105 variants (70.9%) were identified as variants of uncertain significance (VUSs). Moreover, seven pathogenic or likely pathogenic mutations were discovered, along with the polymorphic variant rs1042522 in the TP53 gene, which has been associated with an increased risk of cervical cancer. Conclusions: Our findings contribute to expanding our understanding of the molecular genetic landscape of cervical cancer. They emphasize the potential contribution of rare germline mutations to its development and progression. These results highlight the importance of comprehensive genetic screening in order to improve diagnostic and therapeutic approaches for cervical cancer patients.

Detection of Protein Markers From Blood Samples of Cervical Cancer Patients

Detection of Protein Markers From Blood Samples of Cervical Cancer Patients

GSOR10 Presentation Time: 12:15 PM: The Impact of Telemedicine Integration on the Time to Definitive Chemoradiation Completion for Cervical Cancer Patients Receiving External Beam Radiation and Brachytherapy at Different Facilities

GSOR10 Presentation Time: 12:15 PM: The Impact of Telemedicine Integration on the Time to Definitive Chemoradiation Completion for Cervical Cancer Patients Receiving External Beam Radiation and Brachytherapy at Different Facilities

PO0218: MR Based Image Guided Adaptive Brachytherapy versus CT Based Contouring in Cervical Cancer Patients Treated with Definitive Chemoradiation and Brachytherapy

PO0218: MR Based Image Guided Adaptive Brachytherapy versus CT Based Contouring in Cervical Cancer Patients Treated with Definitive Chemoradiation and Brachytherapy

MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy

ObjectiveThis study aims to develop and validate a predictive model that integrates clinical features, MRI radiomics, and nutritional-inflammatory biomarkers to forecast progression-free survival (PFS) in cervical cancer (CC) patients undergoing concurrent chemoradiotherapy (CCRT). The goal is to identify high-risk patients and guide personalized treatment.MethodsWe performed a retrospective analysis of 188 patients from two centers, divided into training (132) and validation (56) sets. Clinical data, systemic inflammatory markers, and immune-nutritional indices were collected. Radiomic features from three MRI sequences were extracted and selected for predictive value. We developed and evaluated five models incorporating clinical features, nutritional-inflammatory indicators, and radiomics using C-index. The best-performing model was used to create a nomogram, which was validated through ROC curves, calibration plots, and decision curve analysis (DCA).ResultsModel 5, which integrates clinical features, Systemic Immune-Inflammation Index (SII), Prognostic Nutritional Index (PNI), and MRI radiomics, showed the highest performance. It achieved a C-index of 0.833 (95% CI: 0.792–0.874) in the training set and 0.789 (95% CI: 0.679–0.899) in the validation set. The nomogram derived from Model 5 effectively stratified patients into risk groups, with AUCs of 0.833, 0.941, and 0.973 for 1-year, 3-year, and 5-year PFS in the training set, and 0.812, 0.940, and 0.944 in the validation set.ConclusionsThe integrated model combining clinical features, nutritional-inflammatory biomarkers, and radiomics offers a robust tool for predicting PFS in CC patients undergoing CCRT. The nomogram provides precise predictions, supporting its application in personalized patient management.

Automated planning of curved needle channels in 3D printed patient-tailored applicators for cervical cancer brachytherapy.

Purpose&#xD;Patient-tailored intracavitary/interstitial (IC/IS) brachytherapy (BT) applicators may increase dose conformity in cervical cancer patients. Current configuration planning methods in these custom applicators rely on manual specification or a small set of (straight) needles. This work introduces and validates a two-stage approach for establishing channel configurations in the 3D printed patient-tailored ARCHITECT applicator. &#xD;&#xD;Methods&#xD;For each patient, the patient-tailored applicator shape was based on the first BT application with a commercial applicator and integrated connectors to a commercial (Geneva) intrauterine tube and two lunar ring channels. First, a large candidate set was generated of channels that steer the needle to desired poses in the target region and are contained in the applicator. The channels' centrelines were represented by Bézier curves. Channels running between straight target segments and entry points were optimised and refined to ensure (dynamic) feasibility. Second, channel configurations were selected using geometric coverage optimisation. This workflow was applied to establish patient-tailored geometries for twenty-two patients previously treated using the Venezia applicator. Treatment plans were automatically generated using the in-house developed algorithm BiCycle. Plans for the clinically used configuration, TPclin, and patient-tailored configuration, TParch, were compared.&#xD;&#xD;Results&#xD;Channel configurations could be generated in clinically feasible time (median: 2651s, range 1826-3812s). All TParchand TPclinplans were acceptable, but planning aims were more frequently attained with patient-tailored configurations (115/132 versus 100/132 instances). Median CTVIRD98and bladderD2cm3doses significantly improved (p< 0.001 andp< 0.01 respectively) in TParchplans in comparison with TPclinplans, and in approximately half of the patients dosimetric indices improved. &#xD;&#xD;Conclusion&#xD;Automated patient-tailored BT channel configuration planning for 3D printed applicators is clinically feasible. A treatment planning study showed that all plans met planning limits for the patient-tailored configurations, and in selected cases improved the plan quality in comparison with commercial applicator configurations.&#xD.

Clinical trial comparing the use of Orcellex® Brush versus Cervex-Brush® on vaginal vault smear cytology adequacy rate in patients treated with radiotherapy for cervical cancer.

This study aims to evaluate and compare the Cervex-Brush® and Orcellex® Brush as sampling devices for vaginal vault smear cytology in cervical cancer patients treated primarily with radiotherapy. A randomized crossover trial was conducted at a gynecological oncology center in Hong Kong to compare the Cervex-Brush® and Orcellex® Brush in terms of their vault smear adequacy rate in cervical cancer patients who underwent radiotherapy. One hundred sixty cervical cancer patients treated with primary radiotherapy and undergoing follow-up surveillance by vaginal vault cytology were recruited. The smear adequacy rate was 90.6% for Cervex-Brush® and 91.9% for Orcellex® Brush. The rates of low cellularity for both brushes were similar (76.8% for Cervex-Brush® vs. 76.1% for Orcellex® Brush). The detection rates of abnormal smears were also not significantly different (2.8% for Cervex-Brush® vs. 4.2% for Orcellex® Brush). The 2 brushes were also not significantly different in terms of pain score and degree of bleeding. It was further observed that the second smear collection was more painful and patients who were on hormonal replacement therapy demonstrated less bleeding. There was no difference between the Orcellex® brush and the Cervex-Brush® in terms of smear adequacy rate, rate of high cellularity and the detection of abnormal smears. There was also no significant difference between the 2 brushes in terms of pain and the degree of bleeding. Therefore, the Orcellex® Brush can be considered a suitable alternative sampling device for vault smear collection in patients who have undergone radiotherapy for cervical cancer. ClinicalTrials.gov Identifier: NCT04461574.

Application of WeChat-based cognitive behavioural stress management for early-stage cervical cancer patients: a randomised controlled study

Background This randomised controlled study was aimed at investigating the effects of WeChat-based cognitive behavioural stress management (WB-CBSM) on the mental health of patients with early-stage cervical cancer treated with surgical resection. Methods A total of 184 patients with early-stage cervical cancer were randomised to receive either WB-CBSM (n = 92) or normal care (NC) (n = 92) for 8 weeks. Results Compared with the NC group, the WB-CBSM group exhibited reduced Hospital Anxiety and Depression Scale (HADS)–anxiety scores at months (M)1 (t = 2.022, P = 0.045), M3 (t = 2.575, P = 0.011), and M6 (t = 2.709, P = 0.007); anxiety rates at M3 (χ2 = 4.834, P = 0.028) and M6 (χ2 = 5.182, P = 0.023); HADS–depression scores at M3 (t = 2.069, P = 0.040) and M6 (t = 2.449, P = 0.015); and depression rates at M6 (χ2 = 4.268, P = 0.039). Moreover, the WB-CBSM group showed increased Functional Assessment of Chronic Illness Therapy–Spiritual Well-Being scale scores at M1 (t = −2.001, P = 0.047), M3 (t = −2.281, P = 0.024), and M6 (t = −3.501, P = 0.001); the Quality of Life Questionnaire-Core 30 (QLQ-C30) global health score at M3 (t = −2.034, P = 0.043) and M6 (t = −2.426, P = 0.016); and QLQ-C30 function score at M3 (t = −2.009, P = 0.046). However, the groups exhibited decreased EuroQol-5 dimension scores at M3 (t = 2.056, P = 0.041) and M6 ((t = 2.242, P = 0.026) and QLQ-C30 symptom scores at M1 (t = 2.026, P = 0.044) and M3 (t = 2.210, P = 0.028). Conclusion WB-CBSM reduced anxiety and depression and improved the spiritual well-being and quality of life of patients with early-stage cervical cancer treated with surgical resection.

SwinUNeCCt: bidirectional hash-based agent transformer for cervical cancer MRI image multi-task learning

Cervical cancer is the fourth most common malignant tumor among women globally, posing a significant threat to women’s health. In 2022, approximately 600,000 new cases were reported, and 340,000 deaths occurred due to cervical cancer. Magnetic resonance imaging (MRI) is the preferred imaging method for diagnosing, staging, and evaluating cervical cancer. However, manual segmentation of MRI images is time-consuming and subjective. Therefore, there is an urgent need for automatic segmentation models to identify cervical cancer lesions in MRI scans accurately. All MRIs in our research are from cervical cancer patients diagnosed by pathology at Tongren City People’s Hospital. Strict data selection criteria and clearly defined inclusion and exclusion conditions were established to ensure data consistency and accuracy of research results. The dataset contains imaging data from 122 cervical cancer patients, with each patient having 100 pelvic dynamic contrast-enhanced MRI scans. Annotations were jointly completed by medical professionals from Universiti Putra Malaysia and the Radiology Department of Tongren City People’s Hospital to ensure data accuracy and reliability. Additionally, a novel computer-aided diagnosis model named SwinUNeCCt is proposed. This model incorporates (i) A bidirectional hash-based agent multi-head self-attention mechanism, which optimizes the interaction between local and global features in MRI, aiding in more accurate lesion identification. (ii) Reduced computational complexity of the self-attention mechanism. The effectiveness of the SwinUNeCCt model has been validated through comparisons with state-of-the-art 3D medical models, including nnUnet, TransBTS, nnFormer, UnetR, UnesT, SwinUNetR, and SwinUNeLCsT. In semantic segmentation tasks without a classification module, the SwinUNeCCt model demonstrates excellent performance across multiple key metrics: achieving a 95HD of 6.25, an IoU of 0.669, and a DSC of 0.802, all of which are the best results among the compared models. Simultaneously, SwinUNeCCt strikes a good balance between computational efficiency and model complexity, requiring only 442.7 GFLOPs of computational power and 71.2 M parameters. Furthermore, in semantic segmentation tasks that include a classification module, the SwinUNeCCt model also exhibits powerful recognition capabilities. Although this slightly increases computational overhead and model complexity, its performance surpasses other comparative models. The SwinUNeCCt model demonstrates excellent performance in semantic segmentation tasks, achieving the best results among state-of-the-art 3D medical models across multiple key metrics. It balances computational efficiency and model complexity well, maintaining high performance even with the inclusion of a classification module.

N6-methyladenosine (m6A) reader HNRNPA2B1 accelerates the cervical cancer cells aerobic glycolysis.

N6-methyladenosine (m6A) modification is, a more common epigenetic modification, mainly found in mRNA. More and more researches have shown the important functions of m6A on human cancers. This study seeks to explore the role of hnRNPA2B1 and m6A-dependent mechanism in cervical cancer. Elevated hnRNPA2B1 indicated the poor prognosis of cervical cancer patients. Enforced hnRNPA2B1 reduced the apoptosis, and accelerated the proliferation and migration of cervical cancer cells in vitro. Besides, hnRNPA2B1 promoted the aerobic glycolysis of cervical cancer cells, including the lactate secretion, glucose uptake, ATP production, extracellular acidification rate (ECAR) and oxygen consumption rate (OCR). LDHA was found as the downstream target of hnRNPA2B1 by m6A site. Moreover, hnRNPA2B1 enhanced the mRNA stability of LDHA through m6A-dependent manner. LDHA inhibitor (FX-11) could reverse the effect of hnRNPA2B1. Taken together, the data revealed that hnRNPA2B1 promoted the proliferation, migration and aerobic glycolysis of cervical cancer cells by m6A/LDHA-dependent manner. These findings might bring a new idea for cervical cancer treatment.

MRI-based assessment of residual disease after neoadjuvant chemotherapy in pregnant women with cervical cancer

PurposeThis study explores the performance of MRI in detecting residual disease after platinum-based neoadjuvant chemotherapy (NACT) in pregnant cervical cancer (CC) patients, which would serve as a surrogate of treatment response. MethodsIn this retrospective single-centre study, consecutive pregnant cervical cancer patients treated with NACT and undergoing MRI examination before and at the end of the therapeutic protocol between 2010 and 2021 were included. Tumour maximum diameter and nodal status were evaluated in MRI at staging and after NACT. Patients exhibiting increased tumor burden post-NACT were excluded. On post-NACT the presence or absence of residual disease was recorded and the MRI diagnostic performance for assessing residual disease was calculated using histopathology at radical hysterectomy as the reference standard. ResultsThe study included 12 pregnant patients (median age 36 years, 27–42). At post-NACT MRI, residual disease was absent in 2/12 patients (16.7 %) while present in 10/12 (83.3 %). Histopathology was concordant in all patients without MRI residual disease and in 9/10 patients with MRI residual disease, while discordant in 1/10. MRI sensitivity, specificity, positive predictive value, negative predictive and accuracy for detecting residual disease were 100.0 % (95 %CI: 1.00, 1.00), 66.7 % (95 %CI: 0.13, 1.00), 90 % (95 %CI: 0.71, 1.00), 100 % (95 %CI: 1.00, 1.00), and 91.7 % (95 %CI: 0.76, 1.00) respectively (p = 0.045). ConclusionsThis study suggests that MRI has good diagnostic performance to detect residual disease after NACT in pregnant CC patients, and potentially assess response to treatment in this setting.

Cost-effectiveness analysis of simple hysterectomy compared to radical hysterectomy for early cervical cancer: analysis from the GCIG/CCTG CX.5/SHAPE trial.

SHAPE (Simple Hysterectomy And PElvic node assessment) was an international phase III trial demonstrating that simple hysterectomy was non-inferior to radical hysterectomy for pelvic recurrence risk, but superior for quality of life and sexual health. The objective was to conduct a cost-effectiveness analysis comparing simple vs. radical hysterectomy for low-risk early-stage cervical cancer. Markov model compared the costs and benefits of simple vs. radical hysterectomy for early cervical cancer over a 5-year time horizon. Quality-adjusted life years (QALYs) were estimated from health utilities derived from EQ-5D-3L surveys. Sensitivity analyses accounted for uncertainty around key parameters. Monte Carlo simulation estimated complication numbers according to surgical procedure. Simple hysterectomy was more effective and less costly than radical hysterectomy. Average overall costs were $11,022 and $12,533, and average gains were 3.56 and 3.54 QALYs for simple and radical hysterectomy, respectively. Baseline health utility scores were 0.81 and 0.83 for simple and radical hysterectomy, respectively. By year 3, these scores improved for simple hysterectomy (0.82) but not for radical hysterectomy (0.82). Assuming 800 early cervical cancer patients annually in Canada, the model estimated 3 vs. 82 patients with urinary retention, and 49 vs. 86 patients with urinary incontinence persisting 4 weeks after simple vs. radical hysterectomy, respectively. Results were most sensitive to variability in health utilities after surgery, but stable through wide ranges of costs and recurrence estimates. Simple hysterectomy is less costly and more effective in terms of quality-adjusted life expectancy compared to radical hysterectomy for early cervical cancer. ClinicalTrials.gov Identifier: NCT01658930.

Plasma-based proteomic and metabolomic characterization of lung and lymph node metastases in cervical cancer patients

Metastasis is the leading cause of mortality in cervical cancer (CC), with a particular prevalence of lymph node and lung metastases. Patients with CC who have developed distant metastases typically face a poor prognosis, and there is a scarcity of non-invasive strategies for predicting CC metastasis. In this study, we utilized label-free proteomics and untargeted metabolomics to analyze plasma samples from 25 non-metastatic, 14 with lung metastasis, and 15 with lymph node metastasis CC patients. Pathway enrichment analysis revealed a shared inflammatory process between the two metastatic groups, while the central carbon metabolism in cancer showed distinct features in the lung metastasis cohort. Additionally, cholesterol metabolism, hypoxia-inducible factor 1, and ferroptosis signaling pathways were specifically altered in the lymph node metastasis group. Utilizing the receiver operating characteristic curve analysis and Random Forest algorithm, we identified two distinct biomarker panels for the prediction of lung metastasis and lymph node metastasis, respectively. The lung metastasis panel includes properdin, neural cell adhesion molecule 1, and keratin 6 A, whereas the lymph node metastasis panel consists of quiescin sulfhydryl oxidase 1, paraoxonase 1, and keratin 6 A. Each panel exhibited significant diagnostic potential, with high area under the curve (AUC) values for lung metastasis (training set: 0.989, testing set: 0.789) and lymph node metastasis (training set: 0.973, testing set: 0.900). This study conducted an integrated proteomic and metabolomic analysis to clarify the factors contributing to lung and lymph node metastases in CC and has successfully established two biomarker panels for their prediction.