Model of Watershed Segmentation in Deep Learning Method to Improve Identification of Cervical Cancer at Overlay Cells DOI Open Access
Dwiza Riana,

Muh Jamil,

Sri Hadianti

et al.

TEM Journal, Journal Year: 2023, Volume and Issue: unknown, P. 813 - 819

Published: May 29, 2023

Cervical cancer is a disease that very scary for women because it the cause of death among women. To be aware this to do an early examination through Pap Smear (PS) test. In terms identifying overlapping cells, still has low accuracy. Therefore, research was carried out with aim getting level cell separation high This study uses model develop Watershed segmentation technique in Deep Learning Method. The data tested comes from RepomedUNM dataset. amount 420 images formulation 1,260 test images. results can well separate each average Intersection over Union (IoU) score 0.9061. Each result divided fully by whole its area, so final cells were successfully separated 0.945. used as reference cervical cells.

Language: Английский

Basic Knowledge About Cervical Cancer and its Screening Tests Among Secondary School Teachers in Baghdad City DOI Creative Commons
Susan Abed Zaidan

Al-Rafidain Journal of Medical Sciences ( ISSN 2789-3219 ), Journal Year: 2025, Volume and Issue: 8(1), P. 215 - 220

Published: March 17, 2025

Background: Cervical cancer is a well-defined and preventable major health problem. The main cause behind it persistent human papillomavirus (HPV) infection. There are more than 200 HPV subtypes, but only minority of them oncogenic. mode transmission this infection by sexual intercourse. It can be prevented regular checking for premalignant states taking cervical smears (Pap smears) vaccinating young girls. In Iraq, there no official policies the preventive measures, personal awareness way to make women seek screening tests or vaccines. Objectives: To explore general information secondary school teachers in Baghdad city/Iraq who college graduates about cancer. Methods: A cross-sectional study was done, including 232 female were interviewed asked fill out written questionnaire. Results: Only 5.6% respondents mentioned viral as cancer, 14.2% answered sexually transmitted disease. 14.7% included recognize smear test. one teacher (0.4%) knows vaccine prevent Teaching material mostly has significant association with teacher’s information. source social media (76.7%). Conclusions: poor knowledge among educated class, teachers, affect rate occurrence disease future. Social used disseminate regarding Iraqi women.

Language: Английский

Citations

0

DNA methyltransferase 1/miR-342-3p/Forkhead box M1 signaling axis promotes self-renewal in cervical cancer stem-like cells in vitro and nude mice models DOI

Xiaozheng Cao,

Yaofeng Zhang, Yuwei Song

et al.

World Journal of Stem Cells, Journal Year: 2025, Volume and Issue: 17(3)

Published: March 19, 2025

Cervical cancer (CC) stem cell-like cells (CCSLCs), defined by the capacity of differentiation and self-renewal proliferation, play a significant role in progression CC. However, molecular mechanisms regulating their are poorly understood. Therefore, elucidation epigenetic that drive cell will enhance our ability to improve effectiveness targeted therapies for cells. To explore how DNA methyltransferase 1 (DNMT1)/miR-342-3p/Forkhead box M1 (FoxM1), which have been shown abnormal expression CCSLCs, signaling pathways could stimulate self-renewal-related stemness CCSLCs. Sphere-forming derived from CC lines HeLa, SiHa CaSki served as Self-renewal-related was identified determining sphere colony formation efficiency, CD133 CD49f protein level, SRY-box transcription factor 2 octamer-binding 4 mRNA level. The microRNA profiles between HeLa HeLa-derived CCSLCs or were transfected with without miR-342-3p mimic compared using quantitative PCR analysis. levels DNMT1 mRNA, miR-342-3p, FoxM1 examined real-time western blotting. In vivo carcinogenicity assessed mouse xenograft model. functional effects DNMT1/miR-342-3p/FoxM1 axis vitro gain-of-activity loss-of-activity assessments. Interplay among DNMT1, tested methylation-specific respective luciferase reporter assay. established displayed higher stemness, including enhanced increased heightened transcriptional quantity stemness-related factors well stronger tumorigenic potential parental Moreover, showed level downregulated Its significantly decreased Knockdown transfection suppressed expression, promoter demethylation, inhibited CCSLC self-renewal. Inhibition shRNA also resulted attenuation but had little effect on activity expression. Furthermore, loss exerted inverted overexpression FoxM1. recognized straight targets Our findings suggested novel signal promotes presented target treatment through suppression this pathway has previously implicated CC, evidenced prior studies showing miR-342-3p-mediated downregulation cervical Additionally, research liver further supports involvement suppressing While study contributed body knowledge, we did not present completely reinforced therapeutic targeting suppress treatment.

Language: Английский

Citations

0

Decoding cancer dynamics: Hypergraph analysis of stem cell marker interactions through O-information and community detection DOI
David H. Margarit, Marcela V. Reale, Gustavo Paccosi

et al.

Physical review. E, Journal Year: 2025, Volume and Issue: 111(5)

Published: May 19, 2025

Language: Английский

Citations

0

A risk prediction model mediated by genes of APOD/APOC1/SQLE associates with prognosis in cervical cancer DOI Creative Commons
Ya Zhang,

Yuan-Kun Qin,

Danqing Li

et al.

BMC Women s Health, Journal Year: 2022, Volume and Issue: 22(1)

Published: Dec. 19, 2022

Abstract Cervical cancer is one of the most common gynecological malignancies. Due to high heterogeneity cervical accelerating progression, it necessary identify new prognostic markers and treatment regimens for improve patients’ survival rates. We purpose construct verify a risk prediction model patients. Based on analysis data from Gene Expression Omnibus database (GEO) The Cancer Genome Atlas (TCGA), differences genes in normal samples were analyzed then used WGCNA along with consistent clustering single-factor + multi-factor models. After regression analysis, target obtained as models constructed, validity was confirmed using receiver operating characteristic curve (ROC) Kaplan–Meier curve. Subsequently, above verified GSE44001 validation followed by independent analysis. Enrichment conducted grouping low risks model. In addition, immune (immune infiltration, immunotherapy), drug sensitivity, other levels counted groups. our study, three including APOD, APOC1, SQLE obtained, constructed based above-mentioned According model, correlation immunotherapy analyses carried out, which will provide theoretical basis reference value exploration cancer.

Language: Английский

Citations

15

Timosaponin AIII Inhibits Migration and Invasion Abilities in Human Cervical Cancer Cells through Inactivation of p38 MAPK-Mediated uPA Expression In Vitro and In Vivo DOI Open Access
Hung‐Ju Chien,

Chung‐Jung Liu,

Tsung‐Ho Ying

et al.

Cancers, Journal Year: 2022, Volume and Issue: 15(1), P. 37 - 37

Published: Dec. 21, 2022

Cervical cancer is one of the most common gynecologic cancers globally that require novel approaches. Timosaponin AIII (TSAIII) a steroidal saponin displays beneficial effects in antitumor activities. However, effect TSAIII on human cervical remains unknown. In this study, we found showed no influence cell viability, cytotoxicity, cycle distribution and apoptosis induction cells. was revealed to have significant inhibitory migration invasion through downregulation invasion-related uPA expression p38 MAPK activation both cells stem (CCSCs), indicating MAPK-uPA axis mediated TSAIII-inhibited capacity cellular invasion. synergistic inhibition assay, plus siRNA cotreatment greater expression, an immunodeficient mouse model, significantly inhibited lung metastases from SiHa without TSAIII-induced toxicity. These findings first progression its activation. Therefore, might provide potential strategy for auxiliary therapy cancer.

Language: Английский

Citations

15

Understanding the role of miRNAs in cervical cancer pathogenesis and therapeutic responses DOI Creative Commons
Prashant Chauhan, Sreepoorna Pramodh,

Arif Hussain

et al.

Frontiers in Cell and Developmental Biology, Journal Year: 2024, Volume and Issue: 12

Published: Aug. 28, 2024

Cervical cancer (CC) is the most common in women and poses a serious threat to health. Despite familiarity with factors affecting its etiology, initiation, progression, treatment strategies, even resistance therapy, it considered significant problem for women. However, several have greatly affected previous aspects of CC progression recent decades. miRNAs are short non-coding RNA sequences that regulate gene expression by inhibiting translation target mRNA. play crucial role pathogenesis promoting stem cell (CSC) proliferation, postponing apoptosis, continuing cycle, invasion, angiogenesis, metastasis. Similarly, influence important CC-related molecular pathways, such as PI3K/AKT/mTOR signaling pathway, Wnt/β-catenin system, JAK/STAT MAPK pathway. Moreover, affect response patients chemotherapy radiotherapy. Consequently, this review aims provide an acquainted summary onco tumor suppressor (TS) their potential therapy responses focusing on pathways drive them.

Language: Английский

Citations

3

PD-L1+ CD49f+ CD133+ Circulating tumor cells predict outcome of patients with vulvar or cervical cancer after radio- and chemoradiotherapy DOI Creative Commons

Selina Gies,

Patrick Melchior,

István Molnár

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: March 13, 2025

Abstract Background Monitoring individual therapy responses of patients with cancer represents a major clinical challenge providing the basis to early identify metastases and relapse. We previously demonstrated that radio- or chemoradiotherapy affects systemic cellular milieu vulvar cervical creates post-therapeutic environments associated Circulating tumor cells (CTCs) in are related relapse; however, their quantitative phenotypic characteristics during still unknown. Methods In this prospective, longitudinal study, we verified presence CTCs via immunofluorescence systemically characterized by flow cytometry from blood 40 115 receiving surgery, adjuvant radiotherapy (aRT), (aCRT) primary (pCRT) linked different CTC subpopulations outcome disease. Results Pre-therapeutic cytokeratin + CD45 − numbers significantly correlated FIGO stages, lymph node While surgery only did not alter occurrence, aRT aCRT as well pCRT differentially decreased increased both entities compared baseline levels. Therapy-mediated were directly subsequent recurrence on follow-up. Phenotypic characterization revealed enhanced expression stem cell marker CD133 integrin α6 (CD49f) after aRT, pCRT. Furthermore, cohorts exhibited proportions Programmed Cell Death Protein Ligand (PD-L1) expressing among CTCs. Notably, PD-L1 CD49f ≥ 5/ml 2/ml reduced recurrence-free survival Conclusion Our study unravels therapy-induced changes occurrence patients’ association results may help explain differences courses disease suggest PD-L1, targets for immunotherapy cancer.

Language: Английский

Citations

0

The role and diagnostic value of deregulated miRNAs in cervical cancer DOI Creative Commons

Mojtaba Parvizi,

Maryam Vaezi, Farhad Jeddi

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 25, 2025

Language: Английский

Citations

0

Machine learning for genetic prediction of chemotherapy toxicity in cervical cancer DOI Creative Commons
Lu Guo, Wei Wang, Xiaodong Xie

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2023, Volume and Issue: 161, P. 114518 - 114518

Published: March 10, 2023

Locally advanced cervical cancer (LACC) is frequently treated with neoadjuvant chemotherapy (NACT), which includes paclitaxel and platinum. However, the development of severe toxicity a barrier to successful NACT. Phosphatidylinositol 3-kinase (PI3K)/serine/threonine kinase (AKT) pathway related occurrence chemotherapeutic toxicity. In this research work, we employ random forest (RF) machine learning model forecast NACT (neurological, gastrointestinal, hematological reactions). Twenty-four single nucleotide polymorphisms (SNPs) in PI3K/AKT from 259 LACC patients were used construct dataset. Following data preprocessing, RF was trained. The Mean Decrease Impurity approach adopted evaluate relevance 70 selected genotypes' importance by comparing grades 1–2 vs. 3. analysis, neurological much more likely occur homozygous AA Akt2 rs7259541 than those AG or GG genotypes. CT genotype PTEN rs532678 Akt1 rs2494739 increased risk top three loci rs4558508, rs17431184, rs1130233, attributed an elevated gastrointestinal who had heterozygous exhibited obviously greater And for CC rs926091 showed tendency increase suffering rs532678, are associated different toxic effects during treatment LACC.

Language: Английский

Citations

8

MicroRNA-21 in gynecological cancers: From molecular pathogenesis to clinical significance DOI

Ni-Jie Jiang,

Yanan Yin,

Lin Jiao

et al.

Pathology - Research and Practice, Journal Year: 2023, Volume and Issue: 248, P. 154630 - 154630

Published: June 21, 2023

Language: Английский

Citations

8