Screening for Cervical Cancer

A combination of cuproptosis and lncRNAs predicts the prognosis and tumor immune microenvironment in cervical cancer

BACKGROUND

Cuproptosis induces proteotoxic stress and eventually leads to cell death. However, the relationship between cuproptosis and lncRNAs in cervical cancer has not been fully elucidated. Therefore, we aim to explore the association among lncRNAs, cuproptosis and clinical features in cervical cancer.

METHODS

RNA sequencing, genetic mutations, and clinical data of CESC patients were obtained from TCGA. Cuproptosis-associated genes were gathered. WGCNA was used to cluster important modules, and KEGG, GO, GSEA and GSVA were used to explore functional and pathway enrichment. The association between immune microenvironment and cuproptosis-related lncRNAs was performed by using cibersort algorithm and other platforms, including XCELL, TIMER, QUANTISEQ, MCPCOUNTER and EPIC. Fluorescence quantitative PCR was employed to detect the expression of LINC01833 and LINC02321, and CCK-8 and cell scratch assays were used to assess cell proliferation and migration capabilities after LINCRNA interference.

RESULTS

202 upregulated and 45 downregulated lncRNAs were selected. The survival analysis showed that there was a statistically significant difference in survival rates between the high-risk and low-risk groups. The prognosis of tumour mutation burden and the degree of immune infiltration were differed noticeably between the high-risk and low-risk groups. BHG712, TL-2-105, FR-180204, Masitinib, TAK-715, ODI-027, JW-7-24-2, and OSI-930 had substantially higher IC50 values in the high-risk group. Notably, we found AL360178.1 was associated with RNF44 E3 ubiquitin ligase expression. In cervical cancer cell lines, LINC01833 and LINC02321 displayed significant upregulation. Efficient siRNA transfection led to a decreased expression of LINC01833 and LINC02321. This knockdown significantly hindered both cell proliferation and migration capabilities in cervical cancer cells compared to the negative control.

CONCLUSION

In conclusion, we constructed five cuprotosis-related lncRNA prognostic models, which may be new tumor therapeutic targets for the prevention and treatment of cervical cancer.

Incidence of pre-neoplastic and neoplastic lesions of the cervix before and after the COVID-19 pandemic

OBJECTIVE

The COVID-19 pandemic had significant effects on healthcare systems worldwide, including the disruption of routine screening programs for cervical cancer. This study aimed to compare the incidence of cervical intra-epithelial neoplasia (CIN)2 and CIN3 lesions, adenocarcinoma, and squamous carcinoma of the cervix before and after the COVID-19 pandemic.

METHODS

A retrospective analysis was performed using archive data from the Policlinico di Bari, Unit of Gynecology and Obstetrics. The study included patients who tested positive for high-risk human papillomavirus (HPV) at the level I screening test (HPV test) and were subsequently referred to level II screening, which involves the Papanicolaou (Pap) test and colposcopic examination. We excluded individuals who did not comply with the recommended follow-up, patients with low-risk HPV infection, those with autoimmune diseases, oncologic diseases, or those undergoing immunosuppressive therapies. The time period spanned from January 2020 to December 2022. The incidence of CIN2/CIN3 lesions, adenocarcinoma, and squamous carcinoma of the cervix was compared between the pre-screening period (2017-2019) and the post-screening period (2020-2022).

RESULTS

The study comprised a cohort of 1558 consecutive European sexually active women with a median age of 34 years (range 25-65) who underwent colposcopic evaluation of the uterine cervix as a level II screening program. The comparison between the pre-screening and post-screening periods showed an increase in the incidence of CIN2/CIN3 lesions, rising from 23.9 to 63.3 per 100 000 (HR 2.62, 95% CI 1.64 to 4.20; p<0.001). Additionally, although there was an absolute increase in the incidence of cervical carcinoma and adenocarcinoma, the comparison did not reach statistical significance (squamous carcinoma: 2017-2019, 2.5 per 100 000; 2020-2022 3.4 per 100 000, p=0.72; adenocarcinoma: 2017-2019, 3.5 per 100 000; 2020-2022 7.6 per 100 000, p=0.24).

CONCLUSION

This study showed a significant increase in the incidence rate of CIN2/CIN3 lesions after the COVID-19 pandemic. Our findings may be attributed to the temporary suspension of follow-up programs during the pandemic, although the study does not rule out direct effects of SARS-CoV-2 on the risk of pre-neoplastic and neoplastic conditions of the cervix.

A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation

Background

Artificial intelligence (AI) algorithms are capable of automatically detecting contouring boundaries in medical images. However, the algorithms impact on clinical practice of cervical cancer are unclear. We aimed to develop an AI-assisted system for automatic contouring of the clinical target volume (CTV) and organs-at-risk (OARs) in cervical cancer radiotherapy and conduct clinical-based observations.

Methods

We first retrospectively collected data of 203 patients with cervical cancer from West China Hospital. The proposed method named as SegNet was developed and trained with different data groups. Quantitative metrics and clinical-based grading were used to evaluate differences between several groups of automatic contours. Then, 20 additional cases were conducted to compare the workload and quality of AI-assisted contours with manual delineation from scratch.

Results

For automatic CTVs, the dice similarity coefficient (DSC) values of the SegNet trained with incorporating multi-group data achieved 0.85 ± 0.02, which was statistically better than the DSC values of SegNet independently trained with the SegNet(A) (0.82 ± 0.04), SegNet(B) (0.82 ± 0.03) or SegNet(C) (0.81 ± 0.04). Moreover, the DSC values of the SegNet and UNet, respectively, 0.85 and 0.82 for the CTV (P < 0.001), 0.93 and 0.92 for the bladder (P = 0.44), 0.84 and 0.81 for the rectum (P = 0.02), 0.89 and 0.84 for the bowel bag (P < 0.001), 0.93 and 0.92 for the right femoral head (P = 0.17), and 0.92 and 0.91 for the left femoral head (P = 0.25). The clinical-based grading also showed that SegNet trained with multi-group data obtained better performance of 352/360 relative to it trained with the SegNet(A) (334/360), SegNet(B) (333/360) or SegNet(C) (320/360). The manual revision time for automatic CTVs (OARs not yet include) was 9.54 ± 2.42 min relative to fully manual delineation with 30.95 ± 15.24 min.

Conclusion

The proposed SegNet can improve the performance at automatic delineation for cervical cancer radiotherapy by incorporating multi-group data. It is clinically applicable that the AI-assisted system can shorten manual delineation time at no expense of quality.

"Four-in-One" Nanozyme and Natural Enzyme Symbiotic System of Cu2-x Se-GOx for Cervical Cancer Therapy

Cervical cancer, as a common malignant tumor of the reproductive system, seriously threatens women's life and health, and is difficult to be cured by traditional treatments, such as surgery, chemotherapy and radiotherapy. Fortunately, tumor microenvironment (TME)-activated catalytic therapy with high efficiency and reduced off-target toxicity has emerged as a novel treatment model. Herein, we designed a "four-in-one" nanozyme and natural enzyme symbiotic system of Cu_2-x Se-GOx for TME-triggered cascaded catalytic enhanced cancer treatment. In response to unique TME, Cu_2-x Se with catalase activity could effectively catalyze over-expressed H₂ O₂ in cancer cells into O₂ . Subsequently, the glucose oxidase (GOx) could deplete intracellular glucose with the assistance of O₂ ; this not only achieves starvation therapy, but also regenerates H₂ O₂ to boost the generation of highly cytotoxic ^. OH due to the peroxidase activity of Cu_2-x Se. Moreover, although the free-radical scavenger glutathione (GSH) is overexpressed in tumor cells, Cu_2-x Se with glutathione oxidase activity could effectively consume GSH for enhanced ROS production. Thus, the "four-in-one" nanozyme@natural enzyme symbiotic system of Cu_2-x Se-GOx could induce significant ROS accumulation at the tumor regions, thus providing a potential approach for the treatment of cervical cancer.

Clinical utility of a newly developed microfluidic device for detecting circulating tumor cells in the blood of patients with pancreatico-biliary malignancies

BACKGROUND

The development of an optimal screening method is required to improve the prognosis of pancreatico-biliary (PB) cancers. A recently developed microfluidic device achieved a high diagnostic yield by detecting circulating tumor cells (CTCs) in the blood of cancer patients. We conducted this study to investigate the clinical utility of measuring CTCs in peripheral venous blood to diagnose PB cancer.

METHODS

Sixty-three subjects were enrolled in this study (29 with pancreatic cancer [PC], 19 with biliary cancer [BC] and 16 non-tumor controls). Using a microfluidic chip device and image analyzer, circulating blood cells were selected based on their size and immunocytochemistry staining pattern. The primary endpoint was the diagnostic accuracy of CTCs with regard to distinguishing between PB cancer patients and controls. We divided all cases into the training set (n = 32) and validation set (n = 31). The diagnostic accuracy of CTCs, carcinoembryonic antigen (CEA) and cancer antigen 19-9 (CA19-9) were analyzed.

RESULTS

In both the training set and validation set, CTCs showed the highest diagnostic accuracy (training set: CTCs 90.6%, CA19-9 90.6%, CEA 65.6%, validation set: CTCs 87.5%, CA19-9 78.1%, CEA 81.2). Regarding non-metastatic PC (cStage I-III, n = 11), CTCs also had the highest diagnostic accuracy among the three markers tested (CTCs: 84.6%, CA19-9:80.7%, CEA 73.0%).

CONCLUSIONS

A newly developed microfluidic device could diagnose PB cancers by detecting CTCs. This trial was registered with the UMIN Clinical Trials Registry, no. UMIN000029808.

Clinical characteristics and risk of second primary lung cancer after cervical cancer: A population-based study

Background

Lung cancer is increasingly common as a second primary malignancy. However, the clinical characteristics of second primary non-small cell lung cancer after cervical cancer (CC-NSCLC) compared with first primary non-small cell lung cancer (NSCLC1) is unknown.

Methods

The Surveillance, Epidemiology, and End Results (SEER) cancer registry between 1998 and 2010 was used to conduct a large population-based cohort analysis. The demographic and clinical characteristics, as well as prognostic data, were systematically analyzed. The overall survival (OS) in the two cohorts was further compared. The risk factors of second primary lung cancer in patients with cervical cancer were also analyzed.

Results

A total of 557 patients (3.52%) developed second primary lung cancer after cervical cancer, and 451 were eligible for inclusion in the final analyses. Compared with NSCLC1, patients with CC-NSCLC had a higher rate of squamous cell carcinoma (SCC) (36.59% vs 19.07%, P < 0.01). The median OS was longer for CC-NSCLC than for NSCLC1 before propensity score matching (PSM) (16 months vs. 13 months) but with no significant difference after PSM (16 months vs. 17 months). The high-risk factors for the development of cervical cancer to CC-NSCLC include age 50–79 years, black race [odds ratio (OR) 1.417; 95% confidence interval (CI) 1.095–1.834; P < 0.05], and history of radiotherapy (OR 1.392; 95% CI 1.053–1.841; P < 0.05).

Conclusion

Age 50–79 years, black race, and history of radiotherapy were independent risk factors for second primary lung cancer in patients with cervical cancer. Patients with CC-NSCLC had distinctive clinical characteristics and better prognosis compared with patients with NSCLC1.

Intensity-modulated radiation therapy for definitive treatment of cervical cancer: a meta-analysis

Background

To compare the efficacies and toxicities of intensity-modulated radiotherapy (IMRT) with three-dimensional conformal radiotherapy (3D-CRT) or conventional two-dimensional radiotherapy (2D-RT) for definitive treatment of cervical cancer.

Methods

A meta-analysis was performed using search engines, including PubMed, Cochrane Library, Web of Science, and Elsevier. In the meta-analysis, odds ratios (ORs) were compared for overall survival (OS), disease-free survival (DFS), and acute and chronic toxicities.

Results

Included data were analysed using RevMan 5.2 software. Six studies encompassing a total of 1008 patients who received definitive treatment (IMRT = 350, 3-DCRT/2D-RT = 658) were included in the analysis. A comparison of 3-year OS and 3-year DFS revealed no significant differences between IMRT and 3D-CRT or 2D-RT (3-year OS: OR = 2.41, 95% confidence interval [CI]: 0.62–9.39, p = 0.21; 3-year DFS: OR = 1.44, 95% CI: 0.69–3.01, p = 0.33). The incidence of acute gastrointestinal (GI) toxicity and genitourinary (GU) toxicity in patients who received IMRT was significantly lower than that in the control group (GI: Grade 2: OR = 0.5, 95% CI: 0.28–0.89, p = 0.02; Grade 3 or higher: OR = 0.55, 95% CI: 0.32–0.95, p = 0.03; GU: Grade 2: OR = 0.41, 95% CI: 0.2–0.84; p = 0.01; Grade 3 or higher: OR = 0.31, 95% CI: 0.14–0.67, p = 0.003). Moreover, the IMRT patients experienced fewer incidences of chronic GU toxicity than did the control group (Grade 3: OR = 0.09, 95% CI: 0.01–0.67, p = 0.02).

Conclusion

IMRT and conventional radiotherapy demonstrated equivalent efficacy in terms of 3-year OS and DFS. Additionally, IMRT significantly reduced acute GI and GU toxicities as well as chronic GU toxicity in patients with cervical cancer.