New Advances in Cervical Cancer: From Bench to Bedside

Novel strategies in HPV‑16‑related cervical cancer treatment: An in vitro study of combined siRNA-E5 with oxaliplatin and ifosfamide chemotherapy

BACKGROUND

Cervical cancer, primarily caused by HPV infection, remains a global health concern. Current treatments face challenges including drug resistance and toxicity. This study investigates combining E5-siRNA with chemotherapy drugs, Oxaliplatin and Ifosfamide, to enhance treatment efficacy in HPV-16 positive cervical cancer cells, targeting E5 oncoprotein to overcome limitations of existing therapies.

METHODS

The CaSki cervical cancer cell line was transfected with E5-siRNA, and subsequently treated with Oxaliplatin/Ifosfamide. Quantitative real-time PCR was employed to assess the expression of related genes including p53, MMP2, Nanog, and Caspases. Cell apoptosis, cell cycle progression, and cell viability were evaluated using Annexin V/PI staining, DAPI staining, and MTT test, respectively. Furthermore, stemness ability was determined through a colony formation assay, and cell motility was assessed by wound healing assay.

RESULTS

E5-siRNA transfection significantly reduced E5 mRNA expression in CaSki cells compared to the control group. The MTT assay revealed that monotherapy with E5-siRNA, Oxaliplatin, or Ifosfamide had moderate effects on cell viability. However, combination therapy showed synergistic effects, reducing the IC50 of Oxaliplatin from 11.42 × 10-8 M (45.36 μg/ml) to 6.71 × 10-8 M (26.66 μg/ml) and Ifosfamide from 12.52 × 10-5 M (32.7 μg/ml) to 8.206 × 10-5 M (21.43 μg/ml). Flow cytometry analysis demonstrated a significant increase in apoptosis for combination treatments, with apoptosis rates rising from 11.02 % (Oxaliplatin alone) and 16.98 % (Ifosfamide alone) to 24.8 % (Oxaliplatin + E5-siRNA) and 34.9 % (Ifosfamide + E5-siRNA). The sub-G1 cell population increased from 15.7 % (Oxaliplatin alone) and 18 % (Ifosfamide alone) to 21.9 % (Oxaliplatin + E5-siRNA) and 27.1 % (Ifosfamide + E5-siRNA), indicating cell cycle arrest. The colony formation assay revealed a substantial decrease in the number of colonies following combination treatment. qRT-PCR analysis showed decreased expression of stemness-related genes CD44 and Nanog, and migration-related genes MMP2 and CXCL8 in the combination groups. Apoptosis-related genes Casp-3, Casp-9, and pP53 showed increased expression following combination therapy, while BAX expression increased and BCL2 expression decreased relative to the control.

CONCLUSION

The study demonstrates that combining E5-siRNA with Oxaliplatin or Ifosfamide enhances the efficacy of chemotherapy in HPV-16 positive cervical cancer cells. This synergistic approach effectively targets multiple aspects of cancer cell behavior, including proliferation, apoptosis, migration, and stemness. The findings suggest that this combination strategy could potentially allow for lower chemotherapy doses, thereby reducing toxicity while maintaining therapeutic efficacy. This research provides valuable insights into targeting HPV E5 as a complementary approach to existing therapies focused on E6 and E7 oncoproteins, opening new avenues for combination therapies in cervical cancer treatment.

Overexpression of SLC2A1, ALDOC, and PFKFB4 in the glycolysis pathway drives strong drug resistance in 3D HeLa tumor cell spheroids

The 3D multicellular tumor spheroid (MTS) model exhibits enhanced fidelity in replicating the tumor microenvironment and demonstrates exceptional resistance to clinical drugs compared to the 2D monolayer model. In this study, we used multiomics (transcriptome, proteomics, and metabolomics) tools to explore the molecular mechanisms and metabolic differences of the two culture models. Analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathways revealed that the differentially expressed genes between the two culture models were mainly enriched in cellular components and biological processes associated with extracellular matrix, extracellular structural organization, and mitochondrial function. An integrated analysis of three omics data revealed 11 possible drug resistance targets. Among these targets, seven genes, AKR1B1, ALDOC, GFPT2, GYS1, LAMB2, PFKFB4, and SLC2A1, exhibited significant upregulation. Conversely, four genes, COA7, DLD, IFNGR1, and QRSL1, were significantly downregulated. Clinical prognostic analysis using the TCGA survival database indicated that high-expression groups of SLC2A1, ALDOC, and PFKFB4 exhibited a significant negative correlation with patient survival. We further validated their involvement in chemotherapy drug resistance, indicating their potential significance in improving prognosis and chemotherapy outcomes. These results provide valuable insights into potential therapeutic targets that can potentially enhance treatment efficacy and patient outcomes.

Stanniocalcin Protein Expression in Female Reproductive Organs: Literature Review and Public Cancer Database Analysis

Stanniocalcin (STC) 1 and 2 serve as antihyperglycemic polypeptide hormones with critical roles in regulating calcium and phosphate homeostasis. They additionally function as paracrine and/or autocrine factors involved in numerous physiological processes, including female reproduction. STC1 and STC2 contribute to the pathophysiology of several diseases, including female infertility- and pregnancy-associated conditions, and even tumorigenesis of reproductive organs. This comprehensive review highlights the dynamic expression patterns and potential dysregulation of STC1 and STC2, restricted to female fertility, and infertility- and pregnancy-associated diseases and conditions, such as endometriosis, polycystic ovary syndrome (PCOS), abnormal uterine bleeding, uterine polyps, and pregnancy complications, like impaired decidualization, preeclampsia, and preterm labor. Furthermore, the review elucidates the role of dysregulated STC in the progression of cancers of the reproductive system, including endometrial, cervical, and ovarian cancers. Additionally, the review evaluates the expression patterns and prognostic significance of STC in gynecological cancers by utilizing existing public datasets from The Cancer Genome Atlas to help decipher the multifaceted roles of these pleiotropic hormones in disease progression. Understanding the intricate mechanisms by which STC proteins influence all these reviewed conditions could lead to the development of targeted diagnostic and therapeutic strategies in the context of female reproductive health and oncology.

Efficacy and Diagnostic Reliability of Intraoperative Frozen Section in the Surgical Management of Early-Stage Cervical Cancer

OBJECTIVES

The aim of this study of this study was to evaluate preoperative radiology and histopathology findings in cervical cancer lymphadenopathy detection, allowing targeted frozen section examination (FSE).

DESIGN

A retrospective analysis was conducted of 203 early-stage cervical cancer patients between 2010 and 2019 in a tertiary centre.

PARTICIPANTS/MATERIALS, SETTING, AND METHODS

All patients had histologically confirmed cervical cancer and underwent magnetic resonance imaging (MRI) prior to intraoperative FSE. The primary objectives of the study were to determine the diagnostic accuracy of intraoperative FSE in the identification of lymph node metastases (LNM) in early-stage cervical cancer by correlation with final results obtained using standard histopathology techniques and to examine different preoperative, intraoperative, demographic, radiological, and histopathological factors that could identify those at greatest risk of nodal disease and hence predict those most likely to benefit from FSE, enabling more selective and targeted use.

RESULTS

Nineteen patients were found to have LNM (9.36%) at FSE. Patients were at increased risk of LNM by 6-fold with positive LVSI, 3-fold with MRI lymphadenopathy, and 3.5-fold with MRI-visible disease. The presence of lymphadenopathy on MRI and positive LVSI in combination increased the risk of LNM by 19-fold.

LIMITATIONS

We acknowledge that FSE is expensive and time intensive, exposing patients to increased surgery duration and associated risk. We also recognize that it may not be feasible for all patients. Finally, the analysis is limited by retrospective nature of the study.

CONCLUSIONS

By application of the preoperative risk stratification algorithm, we may suggest that FSE can be a useful tool in high-risk patients.

In vitro cancer cell line luminescence-based validation of anticancer phytocompounds obtained from Leucas biflora against HELA cervical and A549 lung cancer cells

Current research aims to screen the anticancer prospective of Leucas biflora phytocompounds against apoptotic regulator target protein essential for cancer progression. In gas chromatography-mass spectrometry analysis major phytocompounds such as tetracosahexaene, squalene, phytol, 22-stigmasten-3-one, stigmasterol, fluorene, and 1,4-dihydro were identified in ethanolic leaf extract of Leucas biflora. In vitro, the free radical scavenging potential of ethanolic leaf extract of Leucas biflora was examined through its DPPH and ABTS radical scavenging potential IC50 value 15.35 and 13.20 μg/ml, respectively. Dose-dependent cytotoxicity was monitored against both A549 lung cancer and HELA cervical cancer cells. Leucas biflora ethanolic leaf extract highly reduces the cell viability of both HELA and A549 cells in in vitro cytotoxicity assays. Leucas biflora ethanolic extract produces 23.76% and 29.76% viability rates against A549 lung and HELA cervical cancer cell lines, and their IC50 values differ slightly at 95.80 and 90.40 μg/ml, respectively. In molecular docking analysis lung cancer target protein-ligand complex 5Y9T-16132746 showed a maximum score of -14 kcal/mol by exhibiting stable binding affinity and interactions among all screened complexes. Based on docking score nine phytocompounds from Leucas biflora and two reference standard drugs were chosen for further analysis. Further validation reveals that the fluorene, 1,4-dihydro possess good ADMET, Bioactivity and density functional theory indices.

IRAK1 deficiency potentiates the efficacy of radiotherapy in repressing cervical cancer development

IRAK1 has been implicated in promoting development of various types of cancers and mediating radioresistance. However, its role in cervical cancer tumorigenesis and radioresistance, as well as the potential underlying mechanisms, remain poorly defined. In this study, we evaluated IRAK1 expression in radiotherapy-treated cervical cancer tissues and found that IRAK1 expression is negatively associated with the efficacy of radiotherapy. Consistently, ionizing radiation (IR)-treated HeLa and SiHa cervical cancer cells express a lower level of IRAK1 than control cells. Depletion of IRAK1 resulted in reduced activation of the NF-κB pathway, decreased cell viability, downregulated colony formation efficiency, cell cycle arrest, increased apoptosis, and impaired migration and invasion in IR-treated cervical cancer cells. Conversely, overexpressing IRAK1 mitigated the anti-cancer effects of IR in cervical cancer cells. Notably, treatment of IRAK1-overexpressing IR-treated HeLa and SiHa cells with the NF-κB pathway inhibitor pyrrolidine dithiocarbamate (PDTC) partially counteracted the effects of excessive IRAK1. Furthermore, our study demonstrated that IRAK1 deficiency enhanced the anti-proliferative role of IR treatment in a xenograft mouse model. These collective observations highlight IRAK1's role in mitigating the anti-cancer effects of radiotherapy, partly through the activation of the NF-κB pathway. SUMMARY: IRAK1 enhances cervical cancer resistance to radiotherapy, with IR treatment reducing IRAK1 expression and increasing cancer cell vulnerability and apoptosis.

Unraveling Differences in Molecular Mechanisms and Immunological Contrasts between Squamous Cell Carcinoma and Adenocarcinoma of the Cervix

This study aims to refine our understanding of the inherent heterogeneity in cervical cancer by exploring differential gene expression profiles, immune cell infiltration dynamics, and implicated signaling pathways in the two predominant histological types of cervix carcinoma, Squamous Cell Carcinoma (SCC) and Adenocarcinoma (ADC). Targeted gene expression data that were previously generated from samples of primary cervical cancer were re-analyzed. The samples were grouped based on their histopathology, comparing SCC to ADC. Each tumor in the study was confirmed to be high risk human papilloma virus (hrHPV) positive. A total of 21 cervical cancer samples were included, with 11 cases of SCC and 10 of ADC. Data analysis revealed a total of 26 differentially expressed genes, with 19 genes being overexpressed in SCC compared to ADC (Benjamini-Hochberg (BH)-adjusted p-value < 0.05). Importantly, the immune checkpoint markers CD274 and CTLA4 demonstrated significantly higher expression in SCC compared to ADC. In addition, SCC showed a higher infiltration of immune cells, including B and T cells, and cytotoxic cells. Higher activation of a variety of pathways was found in SCC samples including cytotoxicity, interferon signaling, metabolic stress, lymphoid compartment, hypoxia, PI3k-AKT, hedgehog signaling and Notch signaling pathways. Our findings show distinctive gene expression patterns, signaling pathway activations, and trends in immune cell infiltration between SCC and ADC in cervical cancer. This study underscores the heterogeneity within primary cervical cancer, emphasizing the potential benefits of subdividing these tumours based on histological and molecular differences.

Emerging biomarkers and molecular targets for precision medicine in cervical cancer

Cervical cancer remains a significant global health burden, necessitating innovative approaches for improved diagnostics and personalized treatment strategies. Precision medicine has emerged as a promising paradigm, leveraging biomarkers and molecular targets to tailor therapy to individual patients. This review explores the landscape of emerging biomarkers and molecular targets in cervical cancer, highlighting their potential implications for precision medicine. By integrating these biomarkers into comprehensive diagnostic algorithms, clinicians can identify high-risk patients at an earlier stage, enabling timely intervention and improved patient outcomes. Furthermore, the identification of specific molecular targets has paved the way for the development of targeted therapies aimed at disrupting key pathways implicated in cervical carcinogenesis. In conclusion, the evolving landscape of biomarkers and molecular targets presents exciting opportunities for advancing precision medicine in cervical cancer. By harnessing these insights, clinicians can optimize treatment selection, enhance patient outcomes, and ultimately transform the management of this devastating disease.

Recent advances in photodynamic therapy combined with chemotherapy for cervical cancer: a systematic review

INTRODUCTION

Despite the evidence that photodynamic therapy (PDT) associated with chemotherapy presents great potential to overcome the limitations of monotherapy, little is known about the current status of this combination against cervical cancer. This systematic review aimed to address the currently available advances in combining PDT and chemotherapy in different research models and clinical trials of cervical cancer.

METHODS

We conducted a systematic review based on PRISMA Statement and Open Science Framework review protocol using PubMed, Web of Science, Embase, Scopus, LILACS, and Cochrane databases. We selected original articles focusing on 'Uterine Cervical Neoplasms' and 'Photochemotherapy and Chemotherapy' published in the last 10 years. The risk of bias in the studies was assessed using the CONSORT and SYRCLE tools.

RESULTS

Twenty-three original articles were included, focusing on HeLa cells, derived from endocervical adenocarcinoma and on combinations of several chemotherapeutics. Most of the combinations used modern drug delivery systems for improved simultaneous delivery and presented promising results with increased cytotoxicity compared to monotherapy.

CONCLUSION

Despite the scarcity of animal studies and the absence of clinical studies, the combination of chemotherapy with PDT presents a potential option for cervical cancer therapy requiring additional studies.

OSF REGISTRATION

https://doi.org/10.17605/OSF.IO/WPHN5 [Figure: see text].

Real-world outcomes of first-line maintenance therapy for recurrent or metastatic cervical cancer: A multi-center retrospective study

BACKGROUND

Maintenance therapy (MT) for recurrent or metastatic cervical cancer remains non-standardized. This study assessed MT effectiveness using a comprehensive approach and identifies prognosis factors inpatients with recurrent or metastatic cervical cancer.

METHODS

From January 2019 and December 2021, over 6000 patients from six Chinese institutions were retrospectively examined. Patients had recurrent/metastatic cervical cancer and underwent first-line chemotherapy with or without MT. We calculated overall and progression-free survival using Kaplan-Meier analysis, comparing via log-rank test, and conducted Cox regression for prognostic factors.

RESULTS

Overall, 274 patients were stratified into an MT group (n = 77) and a non-MT group (n = 197). The 3-year OS rates were 52.5 % and 28.0 % for the MT and non-MT groups, respectively. The MT group had significantly enhanced median OS (37 vs. 21 months; HR, 0.43; 95 % CI, 0.30-0.61; P < 0.001) and PFS (21 vs. 14 months; HR, 0.65; 95 % CI, 0.47-0.90; P = 0.014) compared with the non-MT group. No significant differences in efficacy were observed among the various MT regimens, whether PD-1 monoclonal antibody, targeted therapeutic agents, or a combination of both. Extended PFS and OS were observed in patients receiving > 8 MT cycles. Multivariate analyses revealed that oligometastasis, MT, exclusive prior surgery (as opposed to combined surgery and radiotherapy), and extended interval before recurrence were independent OS predictors (P = 0.045, P < 0.001, P = 0.010, and P = 0.005, respectively); oligometastasis, concurrent radiotherapy, MT, and extended interval before recurrence were independent PFS predictors (P = 0.004, P = 0.007, P = 0.009, and P = 0.003).

CONCLUSIONS

The MT integration markedly extended PFS and OS in patients diagnosed with recurrent or metastatic cervical cancer.

Virtual Screening, Molecular Docking, and Dynamic Simulations Revealed TGF-β1 Potential Inhibitors to Curtail Cervical Cancer Progression

Cervical cancer is one of the main causes of cancer death in women globally, and its epidemiology is similar to that of a low-infectious venereal illness. Many sexual partners and early age at first intercourse have been demonstrated to have a significant influence on risk. TGF-β1 is a multifunctional cytokine that is required for cervical carcinoma metastasis, tumor development, progression, and invasion. The TGF-β1 signaling system plays a paradoxical function in cancer formation, suppressing early-stage tumor growth while increasing tumor progression and metastasis. Importantly, TGF-β1 and TGF-β receptor 1 (TGF-βR1), two components of the TGF-β signaling system, are substantially expressed in a range of cancers, including breast cancer, colon cancer, gastric cancer, and hepatocellular carcinoma. The current study aims to investigate possible inhibitors targeting TGF-β1 using molecular docking and dynamic simulations. To target TGF-β1, we used anti-cancer drugs and small molecules. MVD was utilized for virtual screening, and the highest scoring compound was then subjected to MD simulations using Schrodinger software package v2017-1 (Maestro v11.1) to identify the most favorable lead interactions against TGF-β1. The Nilotinib compound has shown the least XP Gscore of -2.581 kcal/mol, 30ns MD simulations revealing that the Nilotinib- TGF-β1 complex possesses the lowest energy of -77784.917 kcal/mol. Multiple parameters, including Root Mean Square Deviation, Root Mean Square Fluctuation, and Intermolecular Interactions, were used to analyze the simulation trajectory. Based on the results; we conclude that the ligand nilotinib appears to be a promising prospective TGF-β1inhibitor for reducing TGF-β1 expression ad halting cervical cancer progression.

Circular RNAs and cervical cancer: friends or foes? A landscape on circRNA-mediated regulation of key signaling pathways involved in the onset and progression of HPV-related cervical neoplasms

Cervical cancer (CC) is a common gynecologic malignancy, accounting for a significant proportion of women death worldwide. Human papillomavirus (HPV) infection is one of the major etiological causes leading to CC onset; however, genetic, and epigenetic factors are also responsible for disease expansion. Circular RNAs (circRNAs), which are known as a particular subset of non-coding RNA (ncRNA) superfamily, with covalently closed loop structures, have been reported to be involved in the progression of diverse diseases, especially neoplasms. In this framework, abnormally expressed circRNAs are in strong correlation with CC pathogenesis through regulating substantial signaling pathways. Also, these RNA molecules can be considered as promising biomarkers and therapeutic targets for CC diagnosis/prognosis and treatment, respectively. Herein, we first review key molecular mechanisms, including Wnt/β-catenin, MAPK, and PI3K/Akt/mTOR signaling pathways, as well as angiogenesis and metastasis, by which circRNAs interfere with CC development. Then, diagnostic, prognostic, and therapeutic potentials of these ncRNA molecules will be highlighted in depth.

Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer

Deep stromal invasion is an important pathological factor associated with the treatments and prognosis of cervical cancer patients. Accurate determination of deep stromal invasion before radical hysterectomy (RH) is of great value for early clinical treatment decision-making and improving the prognosis of these patients. Machine learning is gradually applied in the construction of clinical models to improve the accuracy of clinical diagnosis or prediction, but whether machine learning can improve the preoperative diagnosis accuracy of deep stromal invasion in patients with cervical cancer was still unclear. This cross-sectional study was to construct three preoperative diagnostic models for deep stromal invasion in patients with early cervical cancer based on clinical, radiomics, and clinical combined radiomics data using the machine learning method. We enrolled 229 patients with early cervical cancer receiving RH combined with pelvic lymph node dissection (PLND). The least absolute shrinkage and selection operator (LASSO) and the fivefold cross-validation were applied to screen out radiomics features. Univariate and multivariate logistic regression analyses were applied to identify clinical predictors. All subjects were divided into the training set (n = 160) and testing set (n = 69) at a ratio of 7:3. Three light gradient boosting machine (LightGBM) models were constructed in the training set and verified in the testing set. The radiomics features were statistically different between deep stromal invasion < 1/3 group and deep stromal invasion ≥ 1/3 group. In the training set, the area under the curve (AUC) of the prediction model based on radiomics features was 0.951 (95% confidence interval (CI) 0.922-0.980), the AUC of the prediction model based on clinical predictors was 0.769 (95% CI 0.703-0.835), and the AUC of the prediction model based on radiomics features and clinical predictors was 0.969 (95% CI 0.947-0.990). The AUC of the prediction model based on radiomics features and clinical predictors was 0.914 (95% CI 0.848-0.980) in the testing set. The prediction model for deep stromal invasion in patients with early cervical cancer based on clinical and radiomics data exhibited good predictive performance with an AUC of 0.969, which might help the clinicians early identify patients with high risk of deep stromal invasion and provide timely interventions.

Cervical cancer: Novel treatment strategies offer renewed optimism

Cervical cancer poses a significant global public health issue, primarily affecting women, and stands as one of the four most prevalent cancers affecting woman globally, which includes breast cancer, colorectal cancer, lung cancer and cervical cancer. Almost every instance of cervical cancer is associated with infections caused by the human papillomavirus (HPV). Prevention of this disease hinges on screening and immunization of the patients, yet disparities in cervical cancer occurrence exist between developed and developing nations. Multiple factors contribute to cervical cancer, including sexually transmitted diseases (STDs), reproductive and hormonal influences, genetics, and host-related factors. Preventive programs, lifestyle improvements, smoking cessation, and prompt precancerous lesion treatment can reduce the occurrence of cervical cancer. The persistency and recurrence of the cases are inherited even after the innovative treatments available for cervical cancer. For patient's ineligible for curative surgery or radiotherapy, palliative chemotherapy remains the standard treatment. Novel treatment strategies are emerging to combat the limited effectiveness of chemotherapy. Nanocarriers offer the promise of concurrent chemotherapeutic drug delivery as a beacon of hope in cervical cancer research. The primary aim of this review study is to contribute to a thorough understanding of cervical cancer, fostering awareness and informed decision-making and exploring novel treatment methods such as nanocarriers for the treatment of cervical cancer. This manuscript delves into cutting-edge approaches, exploring the potential of nanocarriers and other innovative treatments. Our study underscores the critical need for global awareness, early intervention, and enhanced treatment options. Novel strategies, such as nanocarriers, offer renewed optimism in the battle against cervical cancer. This research provides compelling evidence for the investigation of these novel therapeutic approaches within the medical field. Cervical cancer remains a formidable adversary, but with ongoing advancements and unwavering commitment, we move closer to a future where it is a preventable and treatable disease, even in the most underserved regions.

Effectiveness of a culturally tailored text messaging program for promoting cervical cancer screening in accra, Ghana: a quasi-experimental trial

INTRODUCTION

Despite breakthroughs in cervical cancer detection, resource-constrained countries continue to have a disproportionately high incidence and death rate. Mhealth has been identified as an important tool for increasing cervical cancer screening rates in Sub-Saharan Africa. We determined whether sending Ghanaian women culturally tailored one-way mobile phone SMS text messages about cervical cancer would encourage the uptake of the human papillomavirus (HPV) test.

METHODS

From August to November 2016, 88 women aged 18 to 39 living or working in an urban community (Accra, Ghana) participated in a quasi-experimental study. For 8 weeks, 32 SMS messages regarding cervical cancer were developed and sent to the personal phones of intervention arm participants (n = 42). Women in the control group (n = 46) received SMS texts with general health and lifestyle advice. Fischer's exact tests were performed to assess cervical cancer screening uptake and associated reasons for non-uptake between the intervention and control groups (p < 0.05).

RESULTS

At the baseline, women differed in terms of ethnicity and wealth. After the intervention, participants' self-reported risk factors for cervical cancer, such as early menarche, usual source of medical treatment, family history of cancer, smoking, and alcohol history, changed. None of the women in the intervention group sought cervical cancer screening after the intervention, but only one (2.2%) of the control arm participants did. Almost all the women (> 95%) agreed that an HPV test was essential and that regular healthcare check-ups could help prevent cervical cancer. Some women believed that avoiding particular foods could help prevent cervical cancer (23.8% intervention vs. 58.7% control, p < 0.001). Time constraints and out-of-pocket expenses were significant barriers to cervical cancer screening.

CONCLUSION

A one-way SMS delivered to urban women did not increase cervical cancer screening attendance. The time spent in screening facilities and the lack of coverage by the National Health Insurance Scheme limited screening uptake. We urge for the establishment of screening centers in all healthcare facilities, as well as the inclusion of cervical cancer screening in healthcare programs through cost-sharing.

Essential Oils in Cervical Cancer: Narrative Review on Current Insights and Future Prospects

Cervical cancer is a prevalent and often devastating disease affecting women worldwide. Traditional treatment modalities such as surgery, chemotherapy, and radiation therapy have significantly improved survival rates, but they are often accompanied by side effects and challenges that can impact a patient's quality of life. In recent years, the integration of essential oils into the management of cervical cancer has gained attention. This review provides an in-depth exploration of the role of various essential oils in cervical cancer, offering insights into their potential benefits and the existing body of research. The review also delves into future directions and challenges in this emerging field, emphasizing promising research areas and advanced delivery systems. The encapsulation of essential oils with solid lipid nanoparticles, nanoemulsification of essential oils, or the combination of essential oils with conventional treatments showed promising results by increasing the anticancer properties of essential oils. As the use of essential oils in cervical cancer treatment or management evolves, this review aims to provide a comprehensive perspective, balancing the potential of these natural remedies with the challenges and considerations that need to be addressed.

Upregulation of miRNA-10a-5p promotes tumor progression in cervical cancer by suppressing UBE2I signaling

Cervical cancer (CC) is a common malignant neoplasm in gynecology. There is increasing evidence to suggest that microRNAs (miRNAs) act as crucial regulators of CC. However, whether miR-10a-5p plays a role in CC is under investigation. The aim of this stuy was to assess the miR-10a-5p expression pattern in the development of CC and investigate its downstream target. MiR-10a-5p inhibition decreased CC cell proliferation and impaired CC cell invasion and migration but enhanced apoptosis. UBE2I was a direct target of miR-10a-5p. QRT-PCR results showed a down-regulation of UBE2I in CC cells, opposing miR-10a-5p. Besides, overexpression of miR-10a-5p down-regulated UBE2I. Functional rescue experiments further indicated the miR-10a-5p-UBE2I axis was linked to CC cell growth, apoptosis and metastasis. MiR-10a-5p upregulation promotes cervical cancer development by inhibiting UBE2I. These results also predict that miR-10a-5p may be a potential target for the clinical treatment of CC.IMPACT STATEMENTWhat is already known on this subject? As a widely researched cancer-related miRNA, the overexpression of miR-10a-5p has been verified in various cancers. It has been described in a meta-analysis report that there were 42 miRNAs up-regulated and 21 miRNAs down-regulated in different stages of cervical cancer tissue versus healthy tissue.What do the results of this study add? We verified that miR-10a-5p initiates and promotes tumor cell development by decreasing UBE2I abundance. This miR-10a-5p-mediated post-transcriptional regulation of UBE2I is involved in the tumorigenesis, invasion and migration of human cervical cancer.What are the implications of these findings for clinical practice and/or further research? These findings provide mechanistic insights into how miR-10a-5p regulates cervical cancer hyper-proliferation and metastasis, as well as a new target for clinical treatment. Nevertheless, whether miR-10a-5p/UBE2I axis can be regulated by non-invasive methods need further exploration, which will be the focus of our future research.

Reactive oxygen species within the vaginal space: An additional promoter of cervical intraepithelial neoplasia and uterine cervical cancer development?

Uterine cervical intraepithelial abnormalities and cancer development may also depend upon biological problems that arise as a result of complex molecular disturbances within the vaginal space, in addition to the widely known causative effect of human papillomavirus (HPV) infection. Chronic oxidative stress is a consequence of oxygen reduction in the vaginal space. Reactive oxygen species (ROS) and free radicals are yet unrecognizable causative agents and are probably very important factors for cervical intraepithelial neoplasia (CIN) and cancer development. The intermediate compounds of oxygen reduction on these metabolic pathways are superoxide anion (O 2 ˙ - ), hydrogen peroxide (H2O2), hydroxide ions (OH-), and hydroxyl radical (HO˙). Considering these points, the aim of this work was to summarize how these compounds can damage all molecules, including DNA, of vulnerable metaplastic cervical epithelium. Finally, in some women with a poor immune defense system, ROS alone or accompanied by a high-risk HPV type may promote all levels of CIN and cancer development.

Beyond the Microscope: A Technological Overture for Cervical Cancer Detection

Cervical cancer is a common and preventable disease that poses a significant threat to women's health and well-being. It is the fourth most prevalent cancer among women worldwide, with approximately 604,000 new cases and 342,000 deaths in 2020, according to the World Health Organization. Early detection and diagnosis of cervical cancer are crucial for reducing mortality and morbidity rates. The Papanicolaou smear test is a widely used screening method that involves the examination of cervical cells under a microscope to identify any abnormalities. However, this method is time-consuming, labor-intensive, subjective, and prone to human errors. Artificial intelligence techniques have emerged as a promising alternative to improve the accuracy and efficiency of Papanicolaou smear diagnosis. Artificial intelligence techniques can automatically analyze Papanicolaou smear images and classify them into normal or abnormal categories, as well as detect the severity and type of lesions. This paper provides a comprehensive review of the recent advances in artificial intelligence diagnostics of the Papanicolaou smear, focusing on the methods, datasets, performance metrics, and challenges. The paper also discusses the potential applications and future directions of artificial intelligence diagnostics of the Papanicolaou smear.

Transcription factor Dp-1 knockdown downregulates thymidine kinase 1 expression to protect against proliferation and epithelial-mesenchymal transition in cervical cancer

Thymidine kinase 1 (TK1) level is an independent survival prognostic factor for both premalignant and malignant cervical pathologies. Herein, this study sought to probe the impacts of TK1 on cervical cancer (CC) progression and its underlying mechanism. Transcription factor Dp-1 (TFDP1) and TK1 expression was assessed using qRT-PCR in CC cell lines. After ectopic expression and knockdown experiments, cell counting kit-8 and colony formation assays were adopted to measure cell proliferation, western blot to examine the expression of epithelial-mesenchymal transition (EMT)-related proteins, and Transwell assays to assess cell invasion and migration. The binding of TFDP1 to TK1 was predicted by bioinformatic sites and verified by chromatin immunoprecipitation and dual-luciferase reporter assays. Tumor xenograft experiments in nude mice were performed to validate the influence of TFDP1/TK1 on CC progression in vivo. CC cells had high TK1 and TFDP1 expression. TFDP1 or TK1 knockdown restrained CC cell EMT, invasion, migration, and proliferation. TFDP1 facilitated TK1 expression in CC via transcription. Overexpression of TK1 counteracted the suppressive impacts of TFDP1 knockdown on CC cell malignant behaviors. Moreover, TFDP1 knockdown depressed CC growth in vivo by downregulating TK1. TFDP1 knockdown restricted proliferation and EMT in CC by downregulating TK1 expression.

Public Health Approach in the Elimination and Control of Cervical Cancer: A Review

Public health experts worldwide have emphasized cervical cancer since it is a substantial global health burden primarily affecting women. This article thoroughly reviews the public health approach to eradicating and managing cervical cancer. The public health community seeks to lower the prevalence, morbidity, and mortality linked to this preventable disease by integrating primary prevention by means of vaccination against the human papillomavirus (HPV), secondary prevention using screening and early identification, and tertiary prevention through improved therapy and supportive care. In order to accomplish broad vaccination coverage and ultimately effectively prevent cervical cancer, it remains crucial to address obstacles to vaccine accessibility, reluctance, and fair distribution. Early identification and subsequent treatments depend greatly on cervical cancer screening programs. This study explores several screening methods, such as Papanicolaou (Pap) tests based on cytology and cutting-edge technologies like molecular assays and HPV detection. The detection of precancerous lesions and early-stage malignancies, permitting prompt treatment, has shown significant promise when integrating these technologies into coordinated population-based screening programs. The study also underlines the significance of addressing cervical cancer burden inequities, particularly in resource-constrained areas where access to preventative and curative care is constrained. Innovative and affordable methods for addressing marginalized groups are studied, including community-based outreach programs, mobile health technology, and local healthcare practitioners and community leaders in awareness campaigns. The research also examines improvements in cervical cancer treatment procedures, such as surgery, radiation, chemotherapy, and immunotherapy. It improves therapeutic efficacy and patient survival rates by incorporating various modalities into a multidisciplinary strategy. Highlighted palliative care and psychological support are crucial for patients who have advanced cervical carcinoma.

AP2α negatively regulates PDHA1 in cervical cancer cells to promote aggressive features and aerobic glycolysis in vitro and in vivo

OBJECTIVE

As a gate-keeper enzyme link, pyruvate dehydrogenase E1 subunit alpha (PDHA1) functions as a key regulator during glycolysis and the mitochondrial citric acid cycle, which has been reported in several tumors. Nevertheless, the effects of PDHA1 on biological behaviors and metabolism remain unclear in cervical cancer (CC) cells. The study aims to explore the PDHA1 effects on glucose metabolism in CC cells and its possible mechanism.

METHODS

We first determined the expression levels of PDHA1 and activating protein 2 alpha (AP2α) as a PDHA1 potential transcription factor. The effects of PDHA1 in vivo were evaluated through a subcutaneous xenograft mouse model. Cell Counting Kit-8 assay, 5-ethynyl-2'-deoxyuridine (EdU) labeling assay, Transwell invasion assay, wound healing assay, Terminal deoxynucleotidyl transferase dUTP nick end labeling assay and flow cytometry were performed in CC cells. Oxygen consumption rate (OCR) levels were determined to reflect aerobic glycolysis level in gastric cancer cells. Reactive oxygen species (ROS) level was measured with 2', 7'-dichlorofluorescein diacetate kit. The relationship between PDHA1 and AP2α was examined by conducting chromatin immunoprecipitation assay and electrophoretic mobility shift assay.

RESULTS

In CC tissues and cell lines, PDHA1 was downregulated, while AP2α was upregulated. Overexpression of PDHA1 remarkedly inhibited the proliferation, invasion and migration of CC cells, and tumor growth in vivo, as well as promoted OCR, apoptosis and ROS production. Moreover, AP2α directly bound to PDHA1 within suppressor of cytokine signaling 3 promoter region to negatively regulate PDHA1 expression level. What is more, PDHA1 knockdown could effectively reversed the AP2α silencing-mediated suppressive effects on cell proliferation, invasion, migration, and the promotive effects of AP2α knockdown on OCR, apoptosis and ROS production.

CONCLUSIONS

Our findings demonstrate that AP2α negatively regulated PDHA1 via binding to PDHA1 gene promoter to promote malignant CC cell behaviors, which may provide a potential approach for CC therapeutics.

Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer

Cervical cancer is one of the most common types of malignant tumors in women. In addition, it causes death in the latter stages. Squamous cell carcinoma is the most common and aggressive form of cervical cancer and must be diagnosed early before it progresses to a dangerous stage. Liquid-based cytology (LBC) swabs are best and most commonly used for cervical cancer screening and are converted from glass slides to whole-slide images (WSIs) for computer-assisted analysis. Manual diagnosis by microscopes is limited and prone to manual errors, and tracking all cells is difficult. Therefore, the development of computational techniques is important as diagnosing many samples can be done automatically, quickly, and efficiently, which is beneficial for medical laboratories and medical professionals. This study aims to develop automated WSI image analysis models for early diagnosis of a cervical squamous cell dataset. Several systems have been designed to analyze WSI images and accurately distinguish cervical cancer progression. For all proposed systems, the WSI images were optimized to show the contrast of edges of the low-contrast cells. Then, the cells to be analyzed were segmented and isolated from the rest of the image using the Active Contour Algorithm (ACA). WSI images were diagnosed by a hybrid method between deep learning (ResNet50, VGG19 and GoogLeNet), Random Forest (RF), and Support Vector Machine (SVM) algorithms based on the ACA algorithm. Another hybrid method for diagnosing WSI images by RF and SVM algorithms is based on fused features of deep-learning (DL) models (ResNet50-VGG19, VGG19-GoogLeNet, and ResNet50-GoogLeNet). It is concluded from the systems' performance that the DL models' combined features help significantly improve the performance of the RF and SVM networks. The novelty of this research is the hybrid method that combines the features extracted from deep-learning models (ResNet50-VGG19, VGG19-GoogLeNet, and ResNet50-GoogLeNet) with RF and SVM algorithms for diagnosing WSI images. The results demonstrate that the combined features from deep-learning models significantly improve the performance of RF and SVM. The RF network with fused features of ResNet50-VGG19 achieved an AUC of 98.75%, a sensitivity of 97.4%, an accuracy of 99%, a precision of 99.6%, and a specificity of 99.2%.

Interventions to increase cervical screening uptake among immigrant women: A systematic review and meta-analysis

Numerous intervention studies have attempted to increase cervical screening uptake among immigrant women, nonetheless their screening participation remains low. This systematic review and meta-analysis aimed to summarise the evidence on interventions to improve cervical screening among immigrant women globally and identify their effectiveness. Databases PubMed, EMBASE, Scopus, PsycINFO, ERIC, CINAHL and CENTRAL were systematically searched from inception to October 12, 2021, for intervention studies, including randomised and clinical controlled trials (RCT, CCT) and one and two group pre-post studies. Peer-reviewed studies involving immigrant and refugee women, in community and clinical settings, were eligible. Comparator interventions were usual or minimal care or attention control. Data extraction, quality appraisal and risk of bias were assessed by two authors independently using COVIDENCE software. Narrative synthesis of findings was carried out, with the main outcome measure defined as the cervical screening uptake rate difference pre- and post-intervention followed by random effects meta-analysis of trials and two group pre-post studies, using Comprehensive Meta-Analysis software, to calculate pooled rate ratios and adjustment for publication bias, where found. The protocol followed PRISMA guidelines and was registered prospectively with PROSPERO (CRD42020192341). 1,900 studies were identified, of which 42 (21 RCTS, 4 CCTs, and 16 pre-post studies) with 44,224 participants, were included in the systematic review, and 28 with 35,495 participants in the meta-analysis. Overall, the uptake difference rate for interventions ranged from -6.7 to 96%. Meta-analysis demonstrated a pooled rate ratio of 1.15 (95% CI 1.03-1.29), with high heterogeneity. Culturally sensitive, multicomponent interventions, using different modes of information delivery and self-sampling modality were most promising. Interventions led to at least 15% increase in cervical screening participation among immigrant women. Interventions designed to overcome logistical barriers and use multiple channels to communicate culturally appropriate health promotion messages are most effective at achieving cervical screening uptake among immigrant women.

Early-stage cervical cancer treatment - what's new?

The gold standard of treatment for patients with early-stage cervical cancer is radical hysterectomy, in agreement with the entire scientific community. During the last decade, growing evidence has supported the minimally invasive approach. Several studies have suggested that the minimally invasive approach could improve surgical and perioperative outcomes. Because of these findings, ESCO/ESTRO/ESP guidelines state that a "minimally invasive approach is favoured" in comparison with open surgery, as a grade B recommendation. Because of the lack of a grade A recommendation, this randomized Laparoscopic Approach to Cervical Cancer trial evaluated open vs. minimally invasive approach in the early stage. It demonstrated an increase in mortality among patients treated with minimally invasive surgery, revolutionizing current thinking on the primary surgical approach to early cervical cancer. The aim of this study is to analyse which is the best treatment for early cervical cancer and which approach is the most effective at the moment. Further studies are needed to state with certainty the appropriateness of the treatments offered to patients with early cervical cancer.

High prevalence and co-infection of high-risk Human Papillomavirus genotypes among unvaccinated young women from Paraguay

Paraguay launched a human papillomavirus (HPV) vaccination program in 2013, so virological surveillance is important for measuring the impact of HPV vaccines. This study aimed to estimate the type-specific HPV frequency in unvaccinated sexually active women aged 18-25 years in the metropolitan area of Asuncion as a baseline for monitoring the HPV vaccination program. This study included 208 women, attending the Central Laboratory of Public Health between May 2020 and December 2021, were invited for testing through social networks and flyers at local health centers and higher education institutes. All participants who agreed to contribute to the study signed a free, prior, and informed consent form and answered a questionnaire that included basic demographic data and determining factors of HPV infection. Human papillomavirus detection and genotyping were conducted using the CLART HPV2 test (Genomica, Madrid, Spain) that allows the individual identification of 35 genotypes. 54.8% women were positive for any HPV type, with 42.3% positive for high-risk HPV (HR-HPV) types. Several factors were associated with HPV detection including the number of sexual partners, new sexual partners, non-use of condoms, and history of other sexual infections. Moreover, multiple infections were identified in 43.0% of the young women. We detected 29 different viral types present in both single and multiple infections. HPV-58 was the most commonly detected HPV type (14.9%), followed by HPV-16, HPV-51, and HPV-66 (12.3%). We estimated the prevalence of bivalent (16/18), quadrivalent (6/11/16/18), and nonavalent (6/11/16/18/31/33/45/52/58) vaccine types to be 8.2%, 13%, and 38%, respectively. These results reinforce the importance of surveillance studies and provide the first data regarding circulating HPV genotypes in the unvaccinated population in Paraguay, thus generating a baseline to compare future changes in the overall and type-specific HPV prevalence after HPV vaccination.

Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) Is Associated with Cervical Stromal Involvement in Endometrial Cancer Patients: A Cross-Sectional Study in South China

BACKGROUND

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a significant health issue closely associated with multiple extrahepatic cancers. The association between MAFLD and clinical outcomes of endometrial cancer (EC) remains unknown.

METHODS

We retrospectively included 725 EC patients between January 2012 and December 2020. The odds ratios (ORs) were calculated using logistic regression analyses. Kaplan-Meier survival curves were used for survival analysis.

RESULTS

Among EC patients, the prevalence of MAFLD was 27.7% (201/725, 95% confidence interval (Cl) = 0.245-0.311). MAFLD was significantly associated with cervical stromal involvement (CSI) (OR = 1.974, 95% confidence interval (Cl) = 1.065-3.659, p = 0.031). There was a significant correlation between overall survival (OS) and CSI (HR = 0.31; 95%CI: 0.12-0.83; p = 0.020), while patients with MAFLD had a similar OS to those without MAFLD (p = 0.952). Moreover, MAFLD was significantly associated with CSI in the type I EC subgroup (OR = 2.092, 95% confidence interval (Cl) = 1.060-4.129, p = 0.033), but not in the type II EC subgroup (p = 0.838). Further logistic regression analysis suggested that the hepatic steatosis index (HSI) was significantly associated with CSI among type I EC patients without type 2 diabetes mellitus (T2DM) (OR = 1.079, 95% confidence interval (Cl) = 1.020-1.139, p = 0.012).

CONCLUSIONS

About one-quarter of our cohort had MAFLD. MAFLD was associated with the risk of CSI in EC patients, and this association existed in type I EC patients but not in type II EC patients. Furthermore, the HSI can help predict CSI in type I EC patients without T2DM.

Cervicovaginal Microbiota Profiles in Precancerous Lesions and Cervical Cancer among Ethiopian Women

Although high-risk human papillomavirus infection is a well-established risk factor for cervical cancer, other co-factors within the local microenvironment may play an important role in the development of cervical cancer. The current study aimed to characterize the cervicovaginal microbiota in women with premalignant dysplasia or invasive cervical cancer compared with that of healthy women. The study comprised 120 Ethiopian women (60 cervical cancer patients who had not received any treatment, 25 patients with premalignant dysplasia, and 35 healthy women). Cervicovaginal specimens were collected using either an Isohelix DNA buccal swab or an Evalyn brush, and ribosomal RNA sequencing was used to characterize the cervicovaginal microbiota. Shannon and Simpson diversity indices were used to evaluate alpha diversity. Beta diversity was examined using principal coordinate analysis of weighted UniFrac distances. Alpha diversity was significantly higher in patients with cervical cancer than in patients with dysplasia and in healthy women (p < 0.01). Beta diversity was also significantly different in cervical cancer patients compared with the other groups (weighted UniFrac Bray-Curtis, p < 0.01). Microbiota composition differed between the dysplasia and cervical cancer groups. Lactobacillus iners was particularly enriched in patients with cancer, and a high relative abundance of Lactobacillus species was identified in the dysplasia and healthy groups, whereas Porphyromonas, Prevotella, Bacteroides, and Anaerococcus species predominated in the cervical cancer group. In summary, we identified differences in cervicovaginal microbiota diversity, composition, and relative abundance between women with cervical cancer, women with dysplasia, and healthy women. Additional studies need to be carried out in Ethiopia and other regions to control for variation in sample collection.

Analyses of human papillomavirus, Chlamydia trachomatis, Ureaplasma urealyticum, Neisseria gonorrhoeae, and co-infections in a gynecology outpatient clinic in Haikou area, China

BACKGROUND

The purpose of this study was to study the infection rates of Chlamydia trachomatis (CT), Ureaplasma urealyticum (UU), Neisseria gonorrhoeae (NG), and co-infections with human papillomavirus (HPV) in a hospital gynecology outpatient clinic in the Haikou region in 2021.

METHODS

From January to December 2021, the Women and Children Medical Center of Hainan Province collected 2389 samples of cervical exfoliated cells and vaginal swab specimens from gynecologic outpatients. The samples were then analyzed descriptively for data, and the detection rate of each pathogen was tallied. All vaginal swabs were obtained for CT, UU, and NG DNA testing, and cervical exfoliated cells for HPV genotyping. Analyses were performed on the detection rate of each group.

RESULTS

In 2389 samples, the frequencies of pathogen identification among the 2389 samples were as follows: UU (58.43%); HPV (17.29%); CT (7.99%); and NG (0.38%). HPV, CT, UU, and NG were detected in 33.33%, 22.55%, 77.45%, and 2.94% of individuals between 15 and 20 years of age, respectively. The detection rates of CT, UU, and NG were substantially greater in the HPV-positive group than the the HPV-negative group (P < 0.05).

CONCLUSION

Among gynecologic outpatients at a hospital in the Haikou area, the probability of mixed infections with genital tract pathogens in HPV-positive patients was higher compared to HPV-negative patients. Reproductive tract infections are becoming more prevalent in younger people, hence adolescent sexual health education needs improvement.

Predictors of CIN2+ in Patients with PAP III-P (ASC-H): A Cross-Sectional Study

Background: This study aims to investigate whether specific characteristics of the patient group with ASC-H (PAP III-p) findings increase the likelihood of clinically significant disease (CIN2+), offering implications for risk-adapted clinical management. Methods: 225 patients with an ASC-H smear presenting to our colposcopy unit between 2014 and 2021 were identified and examined retrospectively. A total of 203 patients were included in the cross-sectional study using multivariate logistic regression. Results: Of the 12 variables that entered the regression model, transformation zone (p = 0.045) and HPV infection (p = 0.005) contributed significantly to predicting CIN2+. A T3 transformation zone had a protective effect, reducing the likelihood of significant pathology. Infection with HPV high risk (non 16/18) or HPV high risk (16/18), on the contrary, increased the likelihood of CIN2+ four times and seven times, respectively, compared to the lower-risk category. Conclusion: A differential approach in the workup of ASC-H cytology is advisable. Younger, premenopausal patients with positive HPV high-risk findings are at a significantly higher risk for CIN2+ lesions than older postmenopausal women with negative high-risk HPV test results. As the risk increases from HPV high-risk non 16/18 to HPV 16/18 infections, using HPV PCR testing is advisable.

Clinical analysis of 312 patients with stage IB1-IIA2 cervical squamous cell carcinoma and research on the influencing factors of postoperative recurrence

OBJECTIVE

To investigate the influencing factors of the recurrence of IB1-IIA2 cervical squamous cell carcinoma after surgical treatment, and to explore the relationship between high-risk human papillomavirus (HR-HPV) infection and postoperative cervical squamous cell carcinoma recurrence.

METHODS

Patients (n = 312) diagnosed with stage IB1-IIA2 cervical cancer and treated by radical hysterectomy and lymphadenectomy at this hospital were accrued between January 2014 and December 2016. The clinical data of these patients were analysed, and the association among clinicopathological factors, the association among clinicopathological factors, HPV infection and recurrences was investigated through Cox regression.

RESULTS

The median follow-up time was 59.2 months (with a range of 14-77.9 months). The pre-operative HPV infection rate was 85.3% (266/312), and 74 patients had a high level of HPV-DNA (> 5 × 10⁶ copy number / 10⁴ cells). Twenty-nine patients had a postoperative persistent high level of HPV-DNA (9.3%). On multivariate analysis, deep 1/3 stromal invasion (hazard ratio [HR] 114.79, 95% confidence interval [CI] 2.821-4670.111, p = 0.012*) and postoperative persistence of high HPV-DNA levels within 12 months (HR 269.044, 95% CI 14.437-5013.754, p < 0.001*) and 24 months (HR 31.299, 95% CI 1.191-822.215, p = 0.039*) were associated with a higher local recurrence rate.

CONCLUSION

Continuous high HPV-DNA levels within 24 months of an operation and deep 1/3 interstitial infiltration were independent risk factors for local recurrences of cervical cancer.

Effect of annualized surgeon volume on major surgical complications for abdominal and laparoscopic radical hysterectomy for cervical cancer in China, 2004-2016: a retrospective cohort study

BACKGROUND

Previous studies have suggested that higher surgeon volume leads to improved perioperative outcomes for oncologic surgery; however, the effect of surgeon volumes on surgical outcomes might differ according to the surgical approach used. This paper attempts to evaluate the effect of surgeon volume on complications or cervical cancer in an abdominal radical hysterectomy (ARH) cohort and laparoscopic radical hysterectomy (LRH) cohort.

METHODS

We conducted a population-based retrospective study using the Major Surgical Complications of Cervical Cancer in China (MSCCCC) database to analyse patients who underwent radical hysterectomy (RH) from 2004 to 2016 at 42 hospitals. We estimated the annualized surgeon volumes in the ARH cohort and in the LRH cohort separately. The effect of the surgeon volume of ARH or LRH on surgical complications was examined using multivariable logistic regression models.

RESULTS

In total, 22,684 patients who underwent RH for cervical cancer were identified. In the abdominal surgery cohort, the mean surgeon case volume increased from 2004 to 2013 (3.5 to 8.7 cases) and then decreased from 2013 to 2016 (8.7 to 4.9 cases). The mean surgeon case volume number of surgeons performing LRH increased from 1 to 12.1 cases between 2004 and 2016 (P < 0.01). In the abdominal surgery cohort, patients treated by intermediate-volume surgeons were more likely to experience postoperative complications (OR = 1.55, 95% CI = 1.11-2.15) than those treated by high-volume surgeons. In the laparoscopic surgery cohort, surgeon volume did not appear to influence the incidence of intraoperative or postoperative complications (P = 0.46; P = 0.13).

CONCLUSIONS

The performance of ARH by intermediate-volume surgeons is associated with an increased risk of postoperative complications. However, surgeon volume may have no effect on intraoperative or postoperative complications after LRH.

Association between Tumor Mutational Burden, Stromal CD8+ Tumor-Infiltrating Lymphocytes, and Clinical Factors in Cervical Cancers Treated with Radiotherapy

BACKGROUND

Tumor mutational burden (TMB) and stromal CD8-positive tumor-infiltrating lymphocytes (CD8⁺TILs) serve important roles in antitumor immune responses to radiotherapy. This study aimed to elucidate the association between TMB, CD8⁺TILs, and clinical factors in patients with cervical cancer treated with radiotherapy.

METHODS

Patients with squamous cell carcinoma of the uterine cervix treated with definitive radiotherapy, and with available somatic mutation data and immunohistochemical staining data from identical tumor tissues, were enrolled retrospectively. The association between TMB and/or CD8⁺TIL density and patient characteristics, mutation profiles, and treatment outcome was analyzed.

RESULTS

The study analyzed 44 patients (median follow-up period, 61 months). There was no significant correlation between TMB and CD8⁺TIL density, or between TMB or CD8⁺TIL density and patient characteristics. TMB-high or CD8⁺TIL density-low status was associated with worse overall survival and distant metastasis-free survival; the predictive value of these factors became greater when used in combination. TMB-high or CD8⁺TIL density-high status was associated with ARID1A mutations.

CONCLUSIONS

These data indicate independence of TMB and CD8⁺TIL density and the involvement of ARID1A alterations in antitumor immune responses in patients with cervical cancers treated with radiotherapy, warranting further mechanistic research and prospective validation.

Learning Laparoscopic Radical Hysterectomy: Are We Facing an Emerging Situation?

Despite wide screening campaigns and early detection, cervical cancer remains the fourth most common cancer among women. Radical hysterectomy, whether by open, laparoscopic or by robotic-assisted techniques, is the mainstay treatment. However, for adequate surgical results and good oncological prognosis, a gynecological surgeon should be trained to perform those procedures. The learning curve of radical hysterectomy, especially by laparoscopy, is influenced by several factors. The LACC trial, the decrease in cervical cancer incidence and radical hysterectomy procedures have widely reduced the learning curve for surgeons. This article mainly discusses the learning curve of laparoscopic radical hysterectomy for cervical cancers, and how several factors are influencing it negatively, with the need to have medical authorities reset specific surgical training programs and allocate them to special oncological centers.

Prevalence of Precancerous Cervical Lesions among Nonvaccinated Kazakhstani Women: The National Tertiary Care Hospital Screening Data (2018)

OBJECTIVE

At the present time, cervical cancer remains the fourth most prevalent cancer among women worldwide. Most cervical cancer cases are attributed to high-risk human papillomavirus (HPV) infection. Because the natural history of cervical cancer takes decades, the disease could be prevented if premalignant conditions are identified and appropriately managed. The aim of this study is to identify the prevalence of precancerous lesions among non-vaccinated women attending the national tertiary care hospital in Kazakhstan.

METHODS

This was a retrospective study of the cervical cancer screening database (2018) from the national tertiary care hospital in Kazakhstan. Records of 6682 patients, who had cervical cytology tests by Papanicolaou (Pap test), were analyzed. Out of the revised cases, 249 patients had abnormal cervical cytology reports. The Pap test was performed using liquid-based cytology (LBC). The data were analyzed using the statistical software STATA 16. A p-value of less than 0.05 was considered statistically significant.

RESULTS

In this retrospective analysis of 6682 patients' records, we found 3.73% (249 patients) out of all Pap tests performed in 2018 were abnormal. The prevalence of high-grade squamous intraepithelial lesion (HSIL) was high at 19.28%, and the proportion of atypical squamous cells of undetermined significance (ASCUS) and atypical squamous cells (ASCs-H) was 18.47%, while low-grade squamous intraepithelial lesion (LSIL) were identified in 62.25% of the cases. Almost 25% of the women included in the study had concurrent lower and upper genital tract infections.

CONCLUSION

Although the overall rate of abnormal Pap test results was not high, the study shows the elevated prevalence of HSIL. It calls the attention of local policymakers and gynecology specialists and requires immediate actions to improve the prophylactic measures to decrease morbidity and mortality from cervical cancer in Kazakhstan.

Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images

Deep learning technology has been used in the medical field to produce devices for clinical practice. Deep learning methods in cytology offer the potential to enhance cancer screening while also providing quantitative, objective, and highly reproducible testing. However, constructing high-accuracy deep learning models necessitates a significant amount of manually labeled data, which takes time. To address this issue, we used the Noisy Student Training technique to create a binary classification deep learning model for cervical cytology screening, which reduces the quantity of labeled data necessary. We used 140 whole-slide images from liquid-based cytology specimens, 50 of which were low-grade squamous intraepithelial lesions, 50 were high-grade squamous intraepithelial lesions, and 40 were negative samples. We extracted 56,996 images from the slides and then used them to train and test the model. We trained the EfficientNet using 2,600 manually labeled images to generate additional pseudo labels for the unlabeled data and then self-trained it within a student-teacher framework. Based on the presence or absence of abnormal cells, the created model was used to classify the images as normal or abnormal. The Grad-CAM approach was used to visualize the image components that contributed to the classification. The model achieved an area under the curve of 0.908, accuracy of 0.873, and F1-score of 0.833 with our test data. We also explored the optimal confidence threshold score and optimal augmentation approaches for low-magnification images. Our model efficiently classified normal and abnormal images at low magnification with high reliability, making it a promising screening tool for cervical cytology.

Towards Novel Gene and Cell Therapy Approaches for Cervical Cancer

Cervical cancer is one of the most common malignancies in women, and the majority of cases are caused by infection with high-risk human papilloma virus (HPV) subtypes. Despite effective preventative measures, such as vaccinations against HPV, over 300,000 women die world-wide from cervical cancer each year. Once cervical cancer is diagnosed, treatment may consist of radial hysterectomy, or chemotherapy and radiotherapy, or a combination of therapies dependent upon the disease stage. Unfortunately, overall prognosis for patients with metastatic or recurrent disease remains poor. In these cases, immunotherapies may be useful based on promising preclinical work, some of which has been successfully translated to the clinic. For example, approaches using monoclonal antibodies directed against surface proteins important for control of immune checkpoints (i.e., immune checkpoint inhibitors) were shown to improve outcome in many cancer settings, including cervical cancer. Additionally, initial clinical studies showed that application of cytotoxic immune cells modified to express chimeric antigen receptors (CAR) or T cell receptors (TCR) for better recognition and elimination of tumor cells may be useful to control cervical cancer. This review explores these important topics, including strengths and limitations of standard and developing approaches, and how some novel treatment strategies may be optimally used to offer the best possible treatment for cervical cancer patients.

Papillary Squamotransitional Cell Carcinoma of the Uterine Cervix with Atypical Presentation: A Case Report with a Literature Review

Introduction: Cervical cancer is the fourth most prevalent malignancy and the fourth leading cause of cancer-related death in women around the world. Histologically, squamous cell carcinoma (SCC) is the most common form of cervical cancer. SCC has several subtypes, and one of the rarest is papillary squamotransitional cell carcinoma (PSCC). In general, PSCC is believed to have a similar course and prognosis to typical SCC, with a high risk of late metastasis and recurrence. Case report: We discuss the case of a 45-year-old patient diagnosed with PSCC who was admitted to our department in December 2021. The clinical manifestations were pelvic discomfort and lymphadenopathy throughout the body. On admission, all laboratory values, with the exception of C-Reactive Protein (CRP) at 22.35 mg/L and hemoglobin (HGB) at 87.0 g/L, were normal. The clinical and ultrasound examination revealed a painful formation with indistinct borders in the right portion of the small pelvis. Following dilation and curettage, a Tru-Cut biopsy of the inguinal lymph nodes was performed. The investigation histologically indicated PSCC. MRI of the small pelvis showed an endophytic tumor in the cervix with dimensions of 35/26 mm and provided data for bilateral parametrial infiltration; a hetero-intensive tumor originating from the right ovary and involving small intestinal loops measuring 90/58 mm; and generalized lymphadenopathy and peritoneal metastases in the pouch of Douglass. The FIGO classification for the tumor was IVB. The patient was subsequently referred for chemotherapy by the tumor board's decision. Discussion: Despite the generally good prognosis of SCC, PSCC is a rare and aggressive subtype. It is usually diagnosed at an advanced stage and has a poor prognosis. Conclusions: PSCC is a rare subtype of SCC, and its diagnosis and treatment are challenging.

Hysterectomy: Let's Step Up the Ladder of Evidence to Look Over the Horizon

Hysterectomy is one of the most common non-obstetric gynecological surgical procedures carried out in Western countries [...].

Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review

OBJECTIVE

The likelihood of timely treatment for cervical cancer increases with timely detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells were established because manual identification requires skilled pathologists and is time consuming and prone to error. The purpose of this systematic review is to evaluate the diagnostic performance of artificial intelligence (AI) technologies for the prediction, screening, and diagnosis of cervical cancer and pre-cancerous lesions.

MATERIALS AND METHODS

Comprehensive searches were performed on three databases: Medline, Web of Science Core Collection (Indexes = SCI-EXPANDED, SSCI, A & HCI Timespan) and Scopus to find papers published until July 2022. Articles that applied any AI technique for the prediction, screening, and diagnosis of cervical cancer were included in the review. No time restriction was applied. Articles were searched, screened, incorporated, and analyzed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines.

RESULTS

The primary search yielded 2538 articles. After screening and evaluation of eligibility, 117 studies were incorporated in the review. AI techniques were found to play a significant role in screening systems for pre-cancerous and cancerous cervical lesions. The accuracy of the algorithms in predicting cervical cancer varied from 70% to 100%. AI techniques make a distinction between cancerous and normal Pap smears with 80-100% accuracy. AI is expected to serve as a practical tool for doctors in making accurate clinical diagnoses. The reported sensitivity and specificity of AI in colposcopy for the detection of CIN2+ were 71.9-98.22% and 51.8-96.2%, respectively.

CONCLUSION

The present review highlights the acceptable performance of AI systems in the prediction, screening, or detection of cervical cancer and pre-cancerous lesions, especially when faced with a paucity of specialized centers or medical resources. In combination with human evaluation, AI could serve as a helpful tool in the interpretation of cervical smears or images.

ALDH1: A potential therapeutic target for cancer stem cells in solid tumors

Solid tumors can be divided into benign solid tumors and solid malignant tumors in the academic community, among which malignant solid tumors are called cancers. Cancer is the second leading cause of death in the world, and the global incidence of cancer is increasing yearly New cancer patients in China are always the first. After the concept of stem cells was introduced in the tumor community, the CSC markers represented by ALDH1 have been widely studied due to their strong CSC cell characteristics and potential to be the driving force of tumor metastasis. In the research results in the past five years, it has been found that ALDH1 is highly expressed in various solid cancers such as breast cancer, lung cancer, colorectal cancer, liver cancer, gastric cancer, cervical cancer, esophageal cancer, ovarian cancer, head,and neck cancer. ALDH1 can activate and transform various pathways (such as the USP28/MYC signaling pathway, ALDH1A1/HIF-1α/VEGF axis, wnt/β-catenin signaling pathway), as well as change the intracellular pH value to promote formation and maintenance, resulting in drug resistance in tumors. By targeting and inhibiting ALDH1 in tumor stem cells, it can enhance the sensitivity of drugs and inhibit the proliferation, differentiation, and metastasis of solid tumor stem cells to some extent. This review discusses the relationship and pathway of ALDH1 with various solid tumors. It proposes that ALDH1 may serve as a diagnosis and therapeutic target for CSC, providing new insights and new strategies for reliable tumor treatment.

Evaluation of Surgical Outcomes of Abdominal Radical Hysterectomy and Total Laparoscopic Radical Hysterectomy for Cervical Cancer: A Retrospective Analysis of Data Collected before the LACC Trial

Although a surgical approach is one of the key treatments for stages IA1-IIA2, results of the Laparoscopic Approach to Cervical Cancer (LACC) published in 2018 radically changed the field, since minimally invasive surgery was associated with a four-fold higher rate of recurrence and a six-fold higher rate of all-cause death compared to an open approach. We aimed to evaluate surgical outcomes of abdominal radical hysterectomy (ARH) and total laparoscopic radical hysterectomy (TLRH) for cervical cancer, including data collected before the LACC trial. In our retrospective analysis, operative time was significantly longer in TLRH compared to ARH (p < 0.0001), although this disadvantage could be considered balanced by lower intra-operative estimated blood loss in TLRH compared with ARH (p < 0.0001). In addition, we did not find significant differences for intra-operative (p = 0.0874) and post-operative complication rates (p = 0.0727) between ARH and TLRH. This was not likely to be influenced by age and Body Mass Index, since they were comparable in the two groups (p = 0.0798 and p = 0.4825, respectively). Finally, mean number of pelvic lymph nodes retrieved (p = 0.153) and nodal metastases (p = 0.774), as well as death rate (p = 0.5514) and recurrence rate (p = 0.1582) were comparable between the two groups. Future studies should be aimed at assessing whether different histology/grades of cervical cancer, as well as particular subpopulations, may have significantly different outcomes using minimally invasive surgery or laparotomy, with or without neoadjuvant chemotherapy.

Early Cervical Cancer and Recurrence after Minimally Invasive Surgery without Uterine Manipulator

Objective: Worldwide cervical cancer is the fourth most common cancer and is also the fourth leading cause of death among women, after breast cancer, colorectal cancer, and lung cancer. The aim of this study is to investigate the long-term oncological safety of laparoscopic treatment without the use of a uterine manipulator for patients with early stage cervical cancer. Materials and methods: A single-center retrospective study was conducted at the Department of Obstetrics and Gynecology of ARNAS Garibaldi Nesima on patients surgically treated for early cervical cancer from 2014 to 2017. Inclusion criteria included squamous or adenosquamous histotype, FIGO stage from Ia1 to Ib2, cancer size < 4 cm, ECOG status 0–1, and negative serum beta-HCG. The patients were divided into two groups: treatment with and without an intra-uterine manipulator. Results: Seventy patients were identified, but only thirty-one met the inclusion criteria and were enrolled. All patients underwent surgery: three patients with the uterine manipulator, twenty-eight without. Among the thirty-one patients enrolled, twelve women had cancer in situ (IA1), nineteen had an early stage cervical cancer, in particular two cases of cervical cancer stage IA2, ten cases of cervical cancer stage IB1, and seven cases of cervical cancer stage IB2, according to the FIGO classification. At follow-up, three cases of recurrence occurred, but the uterine manipulator was not used. Conclusion: After five years of follow-up, recurrence rates in patients treated with minimally invasive surgery are about 10%, but the use of a uterine manipulator is not related to a higher level of recurrence rates.

Advances on Prevention and Screening of Gynecologic Tumors: Are We Stepping Forward?

According to 2020 comprehensive global cancer statistics published by the International Agency for Research on Cancer, gynecologic malignancies accounted overall for 16 [...].