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PubMed2026

AGRN activates GPX4 via the Wnt/beta-catenin signaling pathway to suppress ferroptosis in cervical cancer cells.

Cervical cancer remains a leading cause of cancer-related deaths among women worldwide. Targeting ferroptosis, a regulated form of cell death driven by lipid peroxidation, has emerged as a promising therapeutic strategy. This study aimed to elucidate the mechanisms by which cervical cancer cells acquire resistance to ferroptosis. AGRN expression and its prognostic significance were analyzed in cervical cancer using TCGA and GTEx data. In vitro, AGRN levels were measured in HeLa, CaSki, and Ect1/E6E7 cells via qRT-PCR. mRNA and protein expression levels of AGRN, beta-catenin, and ferroptosis-related markers were evaluated by qRT-PCR and western blot (WB). Cell viability, RSL3 sensitivity (IC50), and lipid ROS were assessed via CCK-8 assay and flow cytometry. In a xenograft model, RSL3's effect on tumor growth was examined. Immunohistochemistry (IHC) and molecular analyses (qRT-PCR, WB, and flow cytometry) were performed on tumor tissues to evaluate AGRN, beta-catenin, Ki-67, ferroptosis-related genes, and lipid ROS. It is found through research that, AGRN was significantly upregulated in cervical cancer tissues and cell lines. Its overexpression activated Wnt/beta-catenin signaling, resulting in elevated GPX4 and SLC7A11 levels and reduced CHAC1 and PTGS2 expression levels. These alterations decreased lipid ROS accumulation and enhanced resistance to RSL3-induced ferroptosis, an effect further confirmed in xenograft models. In short, In short, AGRN promotes ferroptosis resistance in cervical cancer by activating the Wnt/beta-catenin signaling pathway and upregulating GPX4 expression. Targeting the AGRN-Wnt/beta-catenin-GPX4 axis may represent a novel therapeutic approach for cervical cancer.

Humans↗

PubMed2026

CTGF/CCN2 Promotes Invasive Growth in Cervical Cancer Spheroids and Is Associated With Metastatic Cervical Cancer Tissue.

BACKGROUND/AIM: Metastatic spread defines the lethality of cervical cancer (CC). Connective tissue growth factor (CTGF/CCN2) regulates cell- extracellular matrix interactions but its role in CC is not well-defined. This study investigates the role of CTGF in driving CC invasive growth and its prevalence in patient tissues. MATERIALS AND METHODS: CC spheroids (C33A, HT3) were treated with recombinant human CTGF (rhCTGF) or a function-blocking antibody (IgG CTGF). Invasive growth was assessed via 3D spheroid assay using a Celigo imaging cytometer. Cancer stem cell (CD133, CD44) and epithelial-mesenchymal transition (EMT) markers (E-cadherin, N-cadherin) were analyzed by immunofluorescence. CTGF expression was evaluated using a tissue microarray containing 69 cases in triplicate from pre-invasive, invasive (FIGO I-III), and metastatic cervical lesions, quantified via immunofluorescence scoring. RESULTS: Functional blockade of CTGF significantly reduced 3D spheroid invasive growth in C33A and HT3 cells (p<0.0001). Immunofluorescence revealed that CTGF modulation altered spatial distribution of key proteins: rhCTGF induced surface clustering of CD133 and peripheral N-cadherin enrichment, while CTGF blockade was associated with apparent nuclear/perinuclear enrichment of CD133 and E-cadherin and reduced N-cadherin signal. In patient tissue cores, metastatic samples exhibited the highest CTGF fluorescence intensity. High CTGF expression [immunoreactivity score (IRS) ≥ 6] was most prevalent in FIGO stage I (35.5%) compared to stage III (10.0%). Kaplan-Meier analysis revealed that high CTGF mRNA expression was associated with significantly reduced recurrence-free survival (log-rank p=0.0032). CONCLUSION: In 3D models of CC, CTGF appears to regulate an invasive phenotype, presumably by controlling aberrant localization of stemness and EMT markers. Its apparently elevated expression in early-stage cervical carcinomas and metastases, combined with its prognostic value for recurrence-free survival, suggests that CTGF may be involved in triggering the potential for metastasis and could therefore serve as an early prognostic biomarker.

Humans↗

PubMed2026

CEBPG demonstrates oncogene functions and modulates the expression of genes involved in cervical cancer related pathways.

BACKGROUND: Cervical cancer is a major cause of female cancer incidence and mortality globally. Targeted therapy shows promise with higher efficacy and fewer side effects, yet effective biomarkers are needed. CEBPG, a bZIP transcription factor, has attracted attention as a potential biomarker and therapeutic target. It promotes tumor growth in various cancers, but its role in cervical cancer is unclear. The aim of this study is to investigate the expression, biological function, and transcriptional regulatory mechanisms of CEBPG in cervical cancer. METHODS: This study analyzed CEBPG expression in cervical cancer using The Cancer Genome Atlas (TCGA) data, overexpressed it in HeLa cells, and conducted proliferation, apoptosis, migration, and invasion experiments. RNA sequencing (RNA-seq) revealed CEBPG's transcriptional regulatory network. RESULTS: Our findings revealed that CEBPG expression was significantly higher in cervical cancer than in normal tissues. Overexpression of CEBPG in HeLa cells significantly enhanced proliferation, migration, and invasion while repressing apoptosis. RNA-seq analysis identified numerous differentially expressed genes (DEGs) enriched in pathways critical for tumorigenesis and progression, such as angiogenesis, cell proliferation, and migration. Bioinformatics analysis identified 27 potential transcriptional targets of CEBPG, several of which were associated with poor prognosis and higher expression in cervical cancer tissues. CONCLUSIONS: CEBPG may contribute to malignant phenotypes in cervical cancer, potentially through the transcriptional regulation of specific target genes. The high expression of CEBPG in cervical cancer and its demonstrated role in promoting malignancy through transcriptional regulation provide novel insights into the molecular mechanisms of cervical carcinogenesis and progression. This offers directions for further exploration of CEBPG as a potential therapeutic target and biomarker.

CEBPG↗

PubMed2025

Serum, Cell-Free, HPV-Human DNA Junction Detection and HPV Typing for Predicting and Monitoring Cervical Cancer Recurrence.

Almost all cervical cancers are caused by human papillomaviruses (HPVs). In most cases, HPV DNA is integrated into the human genome. We found that tumor-specific, HPV-human DNA junctions are detectable in serum cell-free DNA of a fraction of cervical cancer patients at the time of initial treatment and/or at six months following treatment. Retrospective analysis revealed these junctions were more frequently detectable in women in whom the cancer later recurred. We also found that cervical cancers caused by HPV types outside of phylogenetic clade α9 had a higher recurrence frequency than those caused by α9 types in both our study and The Cancer Genome Atlas cervical cancer database, despite the higher prevalence of α9 types including HPV16 in cervical cancer. Thus, HPV-human DNA junction detection in serum cell-free DNA and HPV type determination in tumor tissue may help predict recurrence risk. Screening serum cell-free DNA for junctions may also offer an unambiguous, non-invasive means to monitor absence of recurrence following treatment.

DNA integration↗

PubMed2026

Serum, cell-free, HPV-human DNA junction detection and HPV typing for predicting and monitoring cervical cancer recurrence.

Almost all cervical cancers are caused by human papillomaviruses (HPVs). In most cases, HPV DNA is integrated into the human genome. We found that tumor-specific, HPV-human DNA junctions are detectable in serum cell-free DNA of a fraction of cervical cancer patients at the time of initial treatment and/or at 6 months following treatment. Retrospective analysis revealed these junctions were more frequently detectable in women in whom the cancer later recurred. We also found that cervical cancers caused by HPV types outside of phylogenetic clade α9 had a higher recurrence frequency than those caused by α9 types in both our study and The Cancer Genome Atlas cervical cancer database, despite the higher prevalence ofα9 types, including HPV16, in cervical cancer. Thus, HPV-human DNA junction detection in serum cell-free DNA and HPV type determination in tumor tissue may help predict recurrence risk. Screening serum cell-free DNA for junctions may also offer an unambiguous non-invasive means to monitor absence of recurrence following treatment.

Humans↗

PubMed2025

Expression patterns of plasma microRNAs in patients with cervical cancer from two teaching hospitals in Ghana.

AIM: Early cervical cancer diagnosis is a global challenge that needs to be addressed by the discovery of less invasive diagnostic and prognostic approaches. Circulating miRNAs are stable in plasma and their diagnostic potentials have been elucidated in some cancers. Therefore, in this cross-sectional study, we determined the patterns of expression of 7 selected circulating microRNAs that differ between patients with cervical cancer receiving therapy, patients with cervical not on therapy and healthy females. The goal was to investigate the diagnostic and prognostic potential of these selected miRNAs. METHODS: Total RNA was extracted from plasma samples collected from 53 participants recruited from Komfo Anokye Teaching Hospital and the Cape Coast Teaching Hospital, Ghana. Complementary DNA (cDNA) synthesis was performed, followed by quantitative polymerase chain reaction (qPCR) to amplify and quantify the expression levels of the target microRNAs. Expression levels of seven microRNAs-hsa-miR-146a, hsa-miR-29a, hsa-miR-29b, hsa-miR-34a, hsa-miR-233, hsa-miR-155, and hsa-miR-27a were compared among three groups: healthy controls (n = 27), patients with cervical cancer on therapy (n = 13), and those not on therapy (n = 13). RESULTS: miR-155 and miR-27a showed statistically significant differential expression between cancer patients and healthy controls. In addition, miR-29b expression levels differed significantly between stage 4b and stage 4a of patient with cervical cancer undergoing treatment. CONCLUSION: These findings suggest that circulating plasma miRNAs may serve as non-invasive biomarkers for the early detection of cervical cancer, monitoring disease progression, and evaluating treatment response.

Humans↗

PubMed2026

Hypoxia Response Is Associated with Reduced HPV Activity and Tumor Microenvironment Remodeling in Cervical Cancer.

Human papillomavirus (HPV) significantly influences cervical cancer progression and treatment, yet its interactions with the tumor microenvironment remain incompletely understood. We performed single-cell and spatial transcriptomic sequencing on cervical cancer samples to explore these interactions. By aligning sequencing reads to a merged HPV16-human reference genome, we characterized HPV16 heterogeneity and its association with host states at the single-cell and single-gene levels. E5 transcriptional activity was negatively associated with the host interferon response, indicating a role in immune evasion. A hypoxic environment was correlated with the downregulation of E5 activity and elevated MHC-I expression, which may contribute to stronger interactions between hypoxic cancer cells and cytotoxic CD8⁺ T cells. Additionally, HPV16 integration in host cells was associated with increased fatty acid metabolism. These findings suggest that combining anti-angiogenic drugs and fatty acid metabolism inhibitors has the potential to improve cervical cancer treatment.

Cervical cancer↗

PubMed2026

A three-gene radioresistance signature predicts tumor progression in cervical cancer.

BACKGROUND: As a primary curative treatment for locally advanced cervical cancer, radiotherapy is frequently undermined by radioresistant tumor cells that evade cell death and subsequently drive post-treatment tumor progression. This study aimed to identify candidate genes associated with radioresistance in cervical cancer and to explore their potential in predicting unfavorable outcomes among radioresistant patients, thereby providing a reference for future research. METHODS: We screened for co-expressed genes using transcriptomic data from radiation non-complete response (NCR) cervical cancer patients in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Cox regression analyses were conducted to identify the most significant radioresistance-associated genes for constructing a prognostic model. The predictive performance of this model was further validated through logistic regression, weighted gene co-expression network analysis (WGCNA), and pan-cancer analyses. Quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) was performed to quantify the expression levels of key genes in cervical cancer tissue samples from radiosensitive and radioresistant patients. RESULTS: The resulting prognostic model comprised three genes: MTMR11, VANGL1, and CD46. This gene panel was significantly associated with the prognosis of cervical cancer patients receiving radiotherapy and showed acceptable predictive performance across multiple cancer types. qRT-PCR analysis revealed that the expression patterns of MTMR11 and VANGL1 were generally consistent with radioresistance of cervical cancer, whereas CD46 exhibited an unexpected expression trend. CONCLUSIONS: Our findings indicate that MTMR11, VANGL1, and CD46 are associated with radioresistance and prognosis in cervical cancer. Their potential clinical utility, especially in predicting radiotherapy response at the individual patient level, requires further validation in larger, independent, and prospective cohorts.

Cervical cancer↗

PubMed2025

GATA2 promotes cervical cancer progression under the transcriptional activation of TRIP4.

The continued rise in recurrence and mortality rates of cervical cancer suggests the need to find novel therapeutic targets. Previous studies suggest that TRIP4 acts as a transcription factor to regulate cervical carcinogenesis and progression. Our aim was to explore whether the key downstream genes of TRIP4 functions same as TRIP4 in promoting cervical cancer development. We analyzed and confirmed the downstream targets of TRIP4 by RNA sequencing in cervical cancer cells with TRIP4 knockdown. The expression correlation between TRIP4 and GATA2 and the effect of GATA2 on cervical cancer cell growth were determined respectively by Western Blot, Scratch, Spheroid, and MTT analyses. Pulldown and ChIP experiments were performed to analyze the binding of TRIP4 to the promoter of GATA2. The clinical significance of GATA2 and TRIP4 expression in cervical cancer patients was analyzed by tissue microarray staining. GATA2 was highly expressed in cervical cancer tissues. Knockdown of GATA2 inhibited the growth, metastasis and stemness of cervical cancer cells and sensitized cervical cancer cells to radiation therapy. The inhibitory effect of TRIP4 knockdown on cervical cancer cells was rescued by GATA2 overexpression. Furthermore, TRIP4 could bind to the specific GATA2 promoter region, thereby activating its transcription. Clinical tissue microarray analysis indicated that the expression of TRIP4 and GATA2 was positively correlated, and high expression of both predicted a poor prognosis in cervical cancer patients. Our study demonstrated that GATA2 functions as the key downstream target of TRIP4 to promote cervical cancer progression and effective intervention of TRIP4/GATA2 signaling is expected to be developed as potential cervical cancer therapeutic strategy.

Humans↗

PubMed2026

Hypoxia-inducible factor-1α promotes the malignant progression of cervical cancer cells by regulating lactate dehydrogenase A-mediated glycolysis.

BACKGROUND: Enhanced glycolysis is a hallmark of metabolic reprogramming in cervical cancer and plays a key role in tumor progression. Hypoxia-inducible factor-1α (HIF-1α), a core regulator of glycolytic metabolism, remains incompletely characterized in cervical cancer. This study aimed to investigate the expression pattern and clinical significance of HIF-1α in cervical cancer, and to explore its association with malignant biological behavior and lactate dehydrogenase A (LDHA)-related glycolytic metabolism in cervical cancer cells. METHODS: The expression level, clinicopathological features, immune infiltration correlation, and prognostic value of HIF-1α in cervical cancer were analyzed based on the The Cancer Genome Atlas (TCGA) database. HIF-1α overexpression and knockdown models were established in HeLa and Caski cells. Cell viability and invasive ability were assessed by Cell Counting Kit-8 (CCK-8) and Transwell assays, respectively. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) and Western blot were used to detect changes in LDHA expression. Lactate production was measured using a lactate assay kit, and intracellular reactive oxygen species (ROS) levels were determined by flow cytometry. RESULTS: Bioinformatics analysis showed that HIF-1α was highly expressed in cervical cancer and was closely associated with patient age, menopausal status, immune cell infiltration, and poor prognosis. Kaplan-Meier survival analysis demonstrated that patients with high HIF-1α expression had significantly worse overall survival (OS) than those with low expression. In vitro functional experiments further confirmed that HIF-1α overexpression significantly enhanced the viability and invasive ability of HeLa and Caski cells, whereas HIF-1α knockdown produced the opposite effects. HIF-1α overexpression was associated with increased messenger RNA (mRNA) and protein expression levels of LDHA, a key glycolytic molecule, along with increased lactate production and elevated intracellular ROS levels. CONCLUSIONS: HIF-1α is aberrantly highly expressed in cervical cancer and may enhance glycolytic activity by upregulating LDHA expression, thereby promoting the proliferation and invasion of cervical cancer cells. These findings suggest that HIF-1α could serve as a potential diagnostic, prognostic, and therapeutic target biomarker for cervical cancer.

Hypoxia-inducible factor-1α (HIF-1α)↗

PubMed2025

Genome-Wide Association Analyses of HPV16 and HPV18 Seropositivity Identify Susceptibility Loci for Cervical Cancer.

Infection by high-risk human papillomavirus is known to exacerbate cervical cancer development. The host immune response is crucial in disease regression. Large-scale genetic association studies for cervical cancer have identified few susceptibility variants, mainly at the human leukocyte antigen locus on chromosome 6. We hypothesized that the host immune response modifies cervical cancer risk and performed three genome-wide association analyses for HPV16, HPV18 and HPV16/18 seropositivity in 7814, 7924, and 7924 samples from the UK Biobank, followed by validation genotyping in the German Cervigen case-control series of cervical cancer and dysplasia. In GWAS analyses, we identified two loci associated with HPV16 seropositivity (6p21.32 and 15q26.2), two loci associated with HPV18 seropositivity (5q31.2 and 14q24.3), and one locus for HPV16 and/or HPV18 seropositivity (at 6p21.32). MAGMA gene-based analysis identified HLA-DQA1 and HLA-DQB1 as genome-wide significant (GWS) genes. In validation genotyping, the genome-wide significant lead variant at 6p21.32, rs9272293 associated with overall cervical disease (OR = 0.86, p = 0.004, 95% CI = 0.78-0.95, n = 3710) and HPV16 positive invasive cancer (OR = 0.73, p = 0.005, 95% CI = 0.59-0.91, n = 1431). This variant was found to be a robust eQTL for HLA-DRB1, HLA-DQB1-AS1, C4B, HLA-DRB5, HLA-DRB6, HLA-DQB1, and HLA-DPB1 in a series of cervical epithelial tissue samples. We additionally genotyped twenty-four HPV seropositivity variants below the GWS threshold out of which eleven variants were found to be associated with cervical disease in our cohort, suggesting that further seropositivity variants may determine cervical disease outcome. Our study identifies novel genomic risk loci that associate with HPV type-specific cervical cancer and dysplasia risk and provides evidence for candidate genes at one of the risk loci.

Humans↗

PubMed2026

LiCl induces GSK-3β mediated autophagy, DNA damage, and cell cycle arrest in HPV driven cervical cancer cells.

High-risk HPV infections induce cervical cancer progression by disrupting cellular homeostasis and survival pathways, including autophagy. Targeting autophagy represents a promising therapeutic strategy. Lithium chloride (LiCl), extensively studied for its neuroprotective properties, can be investigated for its potential anticancer effects in HPV-driven cervical cancer cells. Treatment with 30 mM LiCl induced significant phosphorylation of glycogen synthase kinase-3β (GSK-3β) at Ser9, inducing functional inhibition and downstream signal alterations. This modulation of GSK-3β activity compromised genomic integrity, validated by increased double strand DNA breaks, increased oxidative and cellular stress, and reduced antioxidant enzyme activity. Consequently, LiCl treated cells exhibited significant G2/M phase arrest, indicating disruption in cell cycle progression. Interestingly, the observed cytotoxicity occurred independently of classical apoptotic pathways, suggesting the activation of alternative cell death mechanisms. Mechanistic studies revealed a robust autophagic flux, with GSK-3β mediated autophagy, validated through siRNA mediated knockdown experiments. These findings highlight a novel cytotoxic mechanism of LiCl and propose its potential repurposing from neurobiology to targeted cancer therapeutics.

Humans↗

PubMed2026

PIK3CA Polymorphisms in Cervical Cancer: Differential Impact of rs6443624 and rs141178472.

BACKGROUND: Cervical cancer remains a major cause of mortality in low- and middle-income settings. We assessed whether two PIK3CA single-nucleotide polymorphisms (SNPs) rs6443624 (A/C) and rs141178472 (C/T) are associated with disease risk, clinicopathological features, and survival. MATERIALS AND METHODS: In a prospective case control study at a tertiary center, 154 participants were enrolled (77 cases, 77 controls). Genomic DNA was isolated from FFPE cervical tumors (QIAamp DNA FFPE Tissue Kit) and genotyped using TaqMan allelic discrimination. Clinicopathological variables (FIGO stage, histology, grade, treatment, tumor-infiltrating lymphocytes [TILs]) were abstracted from records. Genotype distributions were compared by Pearson chi-square. Associations with clinicopathological features used chi-square/Fisher's exact as appropriate; ANOVA compared age across genotypes. Overall survival (OS) was estimated by Kaplan-Meier and compared with the log-rank test; mean OS with SE and 95% CI is reported. RESULTS: Cases were predominantly locally advanced at presentation and squamous histology; most were moderately differentiated. rs6443624 differed significantly between cases and controls (χ²=21.1, p<0.001), with CC over-represented in cases and CA less frequent. rs141178472 showed no significant case control difference (χ²=2.9, p=0.086). For OS, rs6443624 showed a significant genotype effect (log-rank χ²=23.45, p=0.001): AA had the poorest survival, CA the longest, CC intermediate. rs141178472 was not associated with OS (χ²=1.06, p=0.588). Genotype clinicopathological correlations for stage group, grade, TILs, and treatment were non-significant or inconsistent, with some comparisons limited by small sample sizes. CONCLUSION: The PIK3CA rs6443624 variant appears to influence both susceptibility and prognosis in cervical cancer, highlighting its potential as a biomarker for molecular risk stratification. Validation in larger, multi-center cohorts incorporating HPV/p16 assessment and extended follow-up is warranted to confirm its clinical relevance.

Humans↗

PubMed2025

CS Ratio is an immune-related prognostic biomarker for cervical cancer.

BACKGROUND: The tumor microenvironment (TME) plays a crucial role in cancer progression but its complex structure significant variability among patients present considerable challenges for research. Recent studies have demonstrated that macrophage polarization states defined by the expression levels of CXCL9 SPP1 (CS Ratio) are more prognostically relevant than traditional M1/M2 markers. The CS polarization state reflects a highly coordinated network of pro-tumor anti-tumor variables offering a simplified yet effective immune response indicator for the complex TME. The CS Ratio has been shown to correlate with the abundance of anti-tumor immune cells the gene expression programs of tumor-infiltrating cells responses to immunotherapy. Cervical cancer, one of the most common gynecological malignancies, still faces limited therapeutic options. CXCL9, a member of the CXC chemokine family, plays a critical role in immune regulation, inflammation, tumor growth, angiogenesis, and metastasis. Similarly, SPP1, a cytokine, influences immune-related pathways by regulating molecules such as interferon-γ and interleukin-12. However, no studies have systematically investigated the role of the CS Ratio in cervical cancer or its relationship with immunotherapy characteristics. Research in this area could provide critical insights into the role and clinical potential of the CS Ratio in cervical cancer and related tumors. METHODS: The expression ratio of CXCL9 to SPP1 was analyzed in cervical cancer patients using data from the Gene Expression Omnibus (GEO) database, which revealed significant differences. Data for cervical cancer patients were obtained from The Cancer Genome Atlas (TCGA) database. The optimal cutoff value for the CS Ratio was determined using the maxstat package in R, and Kaplan-Meier (KM) survival curves were constructed. Patients were categorized into High and Low groups based on the median CS Ratio. Immune scores were analyzed, and immune cell infiltration was assessed using CIBERSORT. Differences in the CS Ratio were evaluated across patients with varying pathological T stages and FIGO stages. Additionally, receiver operating characteristic (ROC) analysis was performed using the pROC package in R to calculate the area under the curve (AUC). Univariate and multivariate Cox regression analyses were performed to evaluate the potential of the CS Ratio as an independent prognostic factor in cervical cancer. A Cox regression-based nomogram integrating four key features was subsequently developed for the TCGA-CESC cohort. Nomogram performance was assessed using calibration curves and ROC analysis. RESULTS: The CS Ratio was significantly lower in cervical cancer patients compared to normal controls (P < 0.05). KM survival curves indicated that patients in the CS High group exhibited better prognoses. Immune score analysis revealed significantly higher immune scores (P < 0.05) and lower tumor purity (P < 0.05)in the CS High group compared to the Low group. CIBERSORT analysis revealed significantly higher proportions of CD8+ T cells (P < 0.05) and M1 macrophages (P < 0.05), and a significantly lower proportion of M2 macrophages (P < 0.05), in the CS High group compared to the Low group. The CS Ratio significantly decreased with advancing FIGO stage (P < 0.05). Both univariate (P < 0.05) and multivariate Cox regression analyses (P < 0.05) confirmed the CS Ratio as an independent prognostic factor. ROC analysis demonstrated that the CS Ratio had higher AUC values for predicting 1-year (AUC=0.69), 3-year (AUC=0.66), and 5-year OS (AUC=0.68) than CXCL9 or SPP1 alone. The Cox regression-based nomogram integrating four key features demonstrated predictive capability for 1-, 3-, and 5-year OS in CESC patients (Concordance Index = 0.751; 95% CI: 0.678-0.824; p = 1.50Í10-11). Significant survival differences were observed between the high-risk and low-risk groups based on the nomogram score. ROC analysis yielded high AUC values for survival prediction: 0.85 (95% CI: 0.94-0.75) at 1-year, 0.74 (95% CI:0.84-0.64) at 3-year, and 0.72 (95% CI:0.84-0.61) at 5-year. CONCLUSION: The CS Ratio may serve as a more effective prognostic biomarker for cervical cancer patients.

CXCL9↗

PubMed2025

Transcriptomic profile induced by calcitriol in CaSki human cervical cancer cell line.

The vitamin D endocrine system, primarily mediated by its main metabolite calcitriol and the vitamin D receptor (VDR), plays a critical role in numerous human physiological processes, ranging from calcium metabolism to the prevention of various tumors, including cervical cancer. In this study, we comprehensively investigated the genomic regulatory effects of calcitriol in a cervical cancer model. We examined the transcriptional changes induced by calcitriol in CaSki cells, a cervical cell line harboring multiple copies of HPV16, the primary causal agent of cervical cancer. Our microarray findings, revealed that calcitriol regulated over 1000 protein-coding genes, exhibiting a predominantly repressive effect on the CaSki cell transcriptome by suppressing twice as many genes as it induced. Calcitriol decreased EPHA2 and RARA expression while inducing KLK6 and CYP4F3 expression in CaSki cells, as validated by qPCR and Western blot. Functional analysis demonstrated that calcitriol effectively inhibited key processes involved in cancer progression, including cell proliferation and migration. This was further supported by the significant downregulation of MMP7 and MMP13 mRNA levels. Our microarray results also showed that, in addition to its effects on protein-coding genes, calcitriol significantly regulates non-coding RNAs, altering the expression of approximately 400 non-coding RNAs, including 111 microRNA precursors and 29 mature microRNAs, of which 17 were upregulated and 12 downregulated. Notably, among these calcitriol-regulated microRNAs are some involved in cervical cancer biology, such as miR-6129, miR-382, miR-655, miR-211, miR-590, miR-130a, miR-301a, and miR-1252. Collectively, these findings suggest that calcitriol exhibits a significant antitumor effect in this advanced cervical cancer model by blocking critical processes for tumor progression, underscoring the importance of maintaining adequate vitamin D nutritional status.

Humans↗

PubMed2026

Molecular epidemiology and phylogeographic architecture of oncogenic intracellular bacteria in cervical cancer patients across Northern China.

BACKGROUND: Oncogenic intracellular bacteria, including Chlamydia trachomatis, Mycoplasma genitalium, and Fusobacterium nucleatum, have emerged as significant contributors to cervical carcinogenesis. Despite growing interest in microbial oncology, the molecular epidemiological landscape and phylogeographic distribution of these pathogens in Northern China remain poorly characterized. This study aimed to determine the prevalence, co-infection patterns, genotypic diversity, and spatial phylogeographic clustering of oncogenic intracellular bacteria among cervical cancer patients across five provinces of Northern China. METHODS: A cross-sectional, multi-center study was conducted between March 2022 and November 2024 across Shaanxi, Heilongjiang, Beijing, Shandong, and Inner Mongolia. Cervical swab specimens were collected from 1247 confirmed cervical cancer patients. Pathogen detection was performed using multiplex real-time polymerase chain reaction, 16S rRNA gene amplicon sequencing, and whole-genome sequencing. Phylogeographic analyses employed maximum likelihood and Bayesian evolutionary inference frameworks. Statistical analyses included multivariate logistic regression and geographic information system-based spatial clustering. RESULTS: The overall prevalence of at least one oncogenic intracellular bacterium was 68.3% (n = 852). Chlamydia trachomatis was the most prevalent pathogen detected in 41.2% of participants. Co-infection with two or more bacteria was identified in 29.7% of cases and was independently associated with advanced-stage cervical cancer (adjusted odds ratio = 2.87; 95% confidence interval: 1.94 to 4.23; p < 0.001). Phylogeographic analysis revealed three distinct molecular clades with evidence of bidirectional gene flow between Shaanxi and Heilongjiang. Whole-genome sequencing identified 14 novel virulence gene variants not previously characterized in Chinese clinical isolates. CONCLUSIONS: Oncogenic intracellular bacteria are highly prevalent and genotypically diverse among cervical cancer patients in Northern China. The identified phylogeographic clustering and novel virulence variants have direct implications for regional screening programs, targeted antimicrobial strategies, and the development of region-specific molecular diagnostic panels.

Cervical cancer↗

PubMed2026

Human Wings Apart-Like Protein as a Serum Diagnostic Biomarker in Cervical Cancer: An Integrative Bioinformatics Analysis with Serum Validation.

Cervical cancer remains a major threat to women's health worldwide, and reliable serum biomarkers for early detection and therapeutic stratification remain limited. Human wings-apart-like (hWAPL) protein has been implicated in cervical carcinogenesis, but its diagnostic and clinical value has not been fully elucidated. To address this gap, this study integrated public multi-omics datasets, including The Cancer Genome Atlas, GEPIA2, the Human Protein Atlas, and single-cell transcriptomic data, to characterize hWAPL expression, clinicopathological associations, immune infiltration, co-expression networks, post-translational modifications, and drug sensitivity predictions. These findings were evaluated in an independent single-center serum cohort comprising 89 patients with histologically confirmed cervical squamous cell carcinoma and 89 healthy female controls. Serum hWAPL and squamous cell carcinoma antigen (SCC) levels were measured, and diagnostic performance was assessed by receiver operating characteristic curve analysis. In silico, hWAPL was broadly upregulated across multiple malignancies, particularly cervical cancer, enriched in malignant epithelial cells and monocytes/macrophages, and associated with shorter progression-free interval, predicted reduced sensitivity to cisplatin, paclitaxel, and 5-fluorouracil, and predicted sensitivity to MCL-1 and Wee1 inhibitors. In the serum cohort, hWAPL levels were significantly higher in patients than controls and discriminated cervical cancer with an area under the curve of 0.961, exceeding SCC alone. Combining hWAPL with SCC further improved diagnostic performance (area under the curve, 0.974; sensitivity, 93.3%; specificity, 95.5%). These findings suggest that serum hWAPL is a potential novel diagnostic biomarker for cervical squamous cell carcinoma whose performance is enhanced by SCC, whereas the observed associations with chemoresistance and immune microenvironment remodeling are hypothesis-generating and require experimental confirmation.

Humans↗

PubMed2026

Harnessing Id1 as a biomarker in a plasmid reporter system for cervical cancer.

Stagnancy of ten-year cervical cancer (CC) incidence in the U.S., despite screening advancements, suggests the need for new CC screening technologies. This study in preclinical CC models evaluated a diagnostic plasmid that induces expression of a reporter (secreted embryonic alkaline phosphatase, SEAP) through the control of cancer-specific promoter sequence (inhibitor of differentiation 1, Id1). The plasmid (pId1-SEAP) was used to transfect CC cells in vitro and characterize SEAP production based on Id1 expression. Western Blot and immunohistochemistry were used to establish Id1 expression in cell models and human tissues. Timed transfections in various conditions were used to correlate Id1 and SEAP expression. CC cell lines expressed increased normalized baseline Id1 (HeLa 3.0 ± 0.13, SiHa 2.9 ± 0.27, both P < 0.0001) compared to non-cancer 3T3 fibroblasts (1.0 ± 0.0). Normal cervical tissues had a mean Id1 staining value of 3E4 ± 3E4, while early- and late-stage CC tissues had increased mean Id1 staining (3E5 ± 1E5 P < 0.0001 and 2E5 ± 1E5 P = 0.0002, respectively). HeLa and SiHa lines produced increased normalized SEAP (0.63 ± 0.25 and 0.50 ± 0.10, P < 0.05) compared to 3T3 cells, both with pId1-SEAP (0.16 ± 0.058). As few as 12,500 pId1-SEAP transfected HeLa cells resulted in increased SEAP (3E4 ± 3E3 P = 0.004) compared to background (1E4 ± 4E2). SiHa xenograft ex vivo tumor transfected with 25 µg/µL pId1-SEAP produced significantly greater SEAP (21.7 ± 8.6, P = 0.0003) relative to muscle transfected in the same conditions (0.94 ± 0.24). pId1-SEAP can transfect CC cells to produce SEAP proportionally to endogenous Id1 expression, demonstrating its potential for additional studies in CC models.

Female↗