Current progress in the inflammatory background of angiogenesis in gynecological cancers

CX3CL1 (Fractalkine)-CX3CR1 Axis in Inflammation-Induced Angiogenesis and Tumorigenesis

The chemotactic cytokine fractalkine (FKN, chemokine CX3CL1) has unique properties resulting from the combination of chemoattractants and adhesion molecules. The soluble form (sFKN) has chemotactic properties and strongly attracts T cells and monocytes. The membrane-bound form (mFKN) facilitates diapedesis and is responsible for cell-to-cell adhesion, especially by promoting the strong adhesion of leukocytes (monocytes) to activated endothelial cells with the subsequent formation of an extracellular matrix and angiogenesis. FKN signaling occurs via CX3CR1, which is the only known member of the CX3C chemokine receptor subfamily. Signaling within the FKN-CX3CR1 axis plays an important role in many processes related to inflammation and the immune response, which often occur simultaneously and overlap. FKN is strongly upregulated by hypoxia and/or inflammation-induced inflammatory cytokine release, and it may act locally as a key angiogenic factor in the highly hypoxic tumor microenvironment. The importance of the FKN/CX3CR1 signaling pathway in tumorigenesis and cancer metastasis results from its influence on cell adhesion, apoptosis, and cell migration. This review presents the role of the FKN signaling pathway in the context of angiogenesis in inflammation and cancer. The mechanisms determining the pro- or anti-tumor effects are presented, which are the cause of the seemingly contradictory results that create confusion regarding the therapeutic goals.

Role of Tumor-Associated Macrophages in Cervical Cancer: Integrating Classical Perspectives with Recent Technological Advances

Tumor-associated macrophages (TAMs) play a pivotal role in the tumor microenvironment, influencing cancer progression and contributing to poor prognosis. However, in cervical cancer (CC), their significance and involvement are relatively less studied than in other gynecological cancers such as ovarian and endometrial cancer. This review aims to provide an overview of TAMs, covering their origins and phenotypes and their impact on CC progression, along with major TAM-targeted therapeutic approaches. Furthermore, we advocate for the integration of cutting-edge research methodologies, such as single-cell RNA sequencing and spatial RNA sequencing, to enable in-depth and comprehensive investigations into TAMs in CC, which would be beneficial in leading to more personalized and effective immunotherapy strategies for patients with CC.

Dysregulated Expression Patterns of Circular RNAs in Cancer: Uncovering Molecular Mechanisms and Biomarker Potential

Circular RNAs (circRNAs) are stable, enclosed, non-coding RNA molecules with dynamic regulatory propensity. Their biogenesis involves a back-splicing process, forming a highly stable and operational RNA molecule. Dysregulated circRNA expression can drive carcinogenic and tumorigenic transformation through the orchestration of epigenetic modifications via extensive RNA and protein-binding domains. These multi-ranged functional capabilities have unveiled extensive identification of previously unknown molecular and cellular patterns of cancer cells. Reliable circRNA expression patterns can aid in early disease detection and provide criteria for genome-specific personalized medicine. Studies described in this review have revealed the novelty of circRNAs and their biological ss as prognostic and diagnostic biomarkers.

Prognostic performance of pretreatment systemic immune-inflammation index in women with epithelial ovarian cancer

Purpose

This study investigated the prognostic performance of the systemic immune-inflammation index (SII) in patients with epithelial ovarian cancer (EOC) in Lagos, Nigeria.

Methods

We performed a secondary analysis of the data of 91 women who had treatment for EOC between 2009 and 2018. The associations between pretreatment SII and survivals were tested.

Results

Pretreatment SII more than 610.2 was a significant independent predictor of reduced progression-free survival (HR = 2.68; 95% CI, 1.17 to 6.09) while SII greater than 649.0 was a significant independent predictor of reduced 3-year overall survival (HR = 2.01; 95% CI, 1.01 to 3.99).

Conclusion

These findings suggest that high SII may be a potential prognostic indicator and useful marker for more intensive surveillance and design of personalized treatment in patients with EOC.

Predictive significance of lymphocyte level and neutrophil-to-lymphocyte ratio values during radiotherapy in cervical cancer treatment

OBJECTIVE

The objective of this research was to analyze the prognostic significance of the minimum count of lymphocytes (LY) and the corresponding ratio of neutrophil-to-lymphocyte (NLR) in cervical cancer (CC) patients receiving radiotherapy.

METHODS

We retrospectively collected data from 202 CC patients who received concurrent chemoradiotherapy or radiotherapy alone at our hospital. Statistical methods including the Kaplan-Meier method, log-rank test and the Cox proportional hazards model were included to examine survival differences and identify independent factors that may affect overall survival (OS) and progression-free survival (PFS).

RESULTS

The research enrolled a total of 202 patients. Patients with higher LY levels and lower NLR values during radiotherapy had significantly better survival prognosis than those with lower LY levels and higher NLR values. Multivariate COX regression analysis revealed that FIGO stage I, pathological types of SqCC, absence of lymph node metastasis, concurrent chemoradiotherapy, higher LY levels during radiotherapy, and lower NLR values before radiotherapy were independently associated with poorer PFS. Similarly, FIGO stage I, absence of lymph node metastasis and lower NLR values during and before radiotherapy were independently linked with poorer OS.

CONCLUSION

Minimum LY value and its corresponding NLR during radiotherapy serve as prognostic factors for CC.

Biological Activity of fac-[Re(CO)3(phen)(aspirin)], fac-[Re(CO)3(phen)(indomethacin)] and Their Original Counterparts against Ishikawa and HEC-1A Endometrial Cancer Cells

Nonsteroidal anti-inflammatory drugs (NSAIDs) are inhibitors of cyclooxygenase enzyme (COX) and were found to have positive effects in reducing the risk of developing gynecological cancers. However, long-term administration of NSAIDs carries the risk of various side effects, including those in the digestive and circulatory systems. Therefore, there is a constant need to develop new NSAID derivatives. In this work, we investigated rhenium NSAIDs, comparing their effects on endometrial cancer cells with original NSAIDs, demonstrating the high activity of aspirin and indomethacin derivatives. The cytotoxic activity of rhenium derivatives against the Ishikawa and HEC-1A cancer cell lines was higher than that of the original NSAIDs. The IC50 after 24-h incubation of Ishikawa and HEC-1A were 188.06 µM and 394.06 µM for rhenium aspirin and 228.6 µM and 1459.3 µM for rhenium indomethacin, respectively. At the same time, IC50 of aspirin and indomethacin were 10,024.42 µM and 3295.3 µM for Ishikawa, and 27,255.8 µM and 5489.3 µM for HEC-1A, respectively. Moreover, these derivatives were found to inhibit the proliferation of both cell lines in a time- and state-dependent manner. The Ishikawa cell proliferation was strongly inhibited by rhenium aspirin and rhenium indomethacin after 72-h incubation (*** = p < 0.001), while the HEC-1A proliferation was inhibited by the same agents already after 24-h incubation (*** = p < 0.001). Furthermore, the ROS level in the mitochondria of the tested cells generated in the presence of rhenium derivatives was higher than the original NSAIDs. That was associated with rhenium indomethacin exclusively, which had a significant effect (*** = p < 0.001) on both Ishikawa and HEC-1A cancer cells. Rhenium aspirin had a significant effect (*** = p < 0.001) on the mitochondrial ROS level of Ishikawa cells only. Overall, the research revealed a high potential of the rhenium derivatives of aspirin and indomethacin against endometrial cancer cells compared with the original NSAIDs.

Identification of the Immune Signatures for Ovarian Cancer Based on the Tumor Immune Microenvironment Genes

Ovarian cancer (OV) is a deadly gynecological cancer. The tumor immune microenvironment (TIME) plays a pivotal role in OV development. However, the TIME of OV is not fully known. Therefore, we aimed to provide a comprehensive network of the TIME in OV. Gene expression data and clinical information from OV patients were obtained from the Cancer Genome Atlas Program (TCGA) database. Non-negative Matrix Factorization, NMFConsensus, and nearest template prediction algorithms were used to perform molecular clustering. The biological functions of differentially expressed genes (DEGs) were identified using Metascape, gene set enrichment analysis (GSEA), gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The copy number variations (CNVs), single nucleotide polymorphisms (SNPs) and tumor mutation burden were analyzed using Gistic 2.0, R package maftools, and TCGA mutations, respectively. Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data and CIBERSORT were utilized to elucidate the TIME. Moreover, external data from the International Cancer Genome Consortium (ICGC) and ArrayExpress databases were used to validate the signature. All 361 samples from the TCGA OV dataset were classified into Immune Class and non-Immune Class with immune signatures. By comparing the two classes, we identified 740 DEGs that accumulated in immune-related, cancer-related, inflammation-related biological functions and pathways. There were significant differences in the CNVs between the Immune and non-Immune Classes. The Immune Class was further divided into immune-activated and immune-suppressed subtypes. There was no significant difference in the top 20 genes in somatic SNPs among the three groups. In addition, the immune-activated subtype had significantly increased proportions of CD4 memory resting T cells, T cells, M1 macrophages, and M2 macrophages than the other two groups. The qRT-PCR results indicated that the mRNA expression levels of RYR2, FAT3, MDN1 and RYR1 were significantly down-regulated in OV compared with normal tissues. Moreover, the signatures of the TIME were validated using ICGC cohort and the ArrayExpress cohort. Our study clustered the OV patients into an immune-activated subtype, immune-suppressed subtype, and non-Immune Class and provided potential clues for further research on the molecular mechanisms and immunotherapy strategies of OV.

Systemic immune-inflammation index is a promising non-invasive biomarker for predicting the survival of urinary system cancers: a systematic review and meta-analysis

OBJECTIVE

Systemic immune-inflammation index (SII) has been reported in numerous studies to effectively predict the survival outcomes of urinary system cancers; however no agreement has been reached. This meta-analysis aimed to explore the prognostic significance of pre-treatment SII in tumours of the urinary system.

METHODS

Relevant published articles were selected from Web of Science, PubMed, Embase, and the Cochrane Library up to 30 August 2020. The hazard ratios (HRs) with 95% confidence intervals (CIs) were computed to estimate the associations of pre-treatment SII with overall survival (OS), progression-free survival (PFS), cancer-specific survival (CSS) in urinary system cancers.

RESULTS

13 papers were included in our meta-analysis. From the combined data, we found that a high pre-treatment SII indicated a markedly worse OS (HR = 1.98; 95% CI: 1.75-2.23; p < .001), PFS (HR: 2.08; 95% CI: 1.32-3.26; p = .002), and CSS (HR: 2.41, 95% CI: 1.73-3.35, p < .001). Additionally, patients with an elevated SII value might have undesirable pathological characteristics, including a large tumour size, a poor differentiation grade, and an advanced tumour stage (all p < .001).

CONCLUSIONS

Pre-treatment SII could be used as a non-invasive and promising biomarker to indicate the prognosis of urinary system cancer patients.KEY MESSAGES:This meta-analysis evaluates the predictive value of systemic immune-inflammation index (SII) for patients with urinary system cancer.A high pre-treatment SII indicates a poor prognosis.SII can serve as a promising non-invasive biomarker to help clinicians assess the prognosis and develop treatment strategies for urinary system cancer patients.

Silencing YKL-40 gene can inhibit inflammatory factor expression and affects the effect of THP-1 cells on endometrial cancer

PURPOSE

To investigate the effect of silencing the YKL-40 gene on the expression of inflammatory factors and the effect of silencing the YKL-40 gene of THP-1 cells on endometrial cancer.

METHODS

We used a siRNA targeting a sequence in YKL-40 (si-YKL-40) to transfect HEC-1A and THP-1 cells. Quantitative real-time polymerase chain reaction assay was performed to investigate the mRNA levels of YKL-40, IL-8 and MMP-9 in HEC-1A and THP-1 cells. Migration, and invasion assays were performed to identify the effects of co-culture with THP-1 cells that silenced YKL-40 gene on the migration and invasion capacity of HEC-1A cells. Tube formation ability were detected by Matrigel-based angiogenesis assay.

RESULTS

We successfully transfected HEC-1A and THP-1 cells with lentivirus to silence the YKL-40 gene. Compared with the blank control group and NC group, the expression of YKL-40, IL-8 and MMP-9 which were examined by qRT-PCR in YKL-40-siRNA group was significantly reduced in the two cell lines; after co-cultured with the supernatant of transfected THP-1 cells, the migration and invasion ability of HEC-1A cells in YKL-40-siRNA group was significantly reduced; the number of tubes in the YKL-40-siRNA group was significantly reduced, the spacing between the tubes was significantly increased, and the structure of tubes was incomplete.

CONCLUSION

Silencing the YKL-40 gene in THP-1 cells can inhibit the expression of inflammatory factors, the invasion and migration of human endometrial cancer cells and the capacity of vitro angiogenic. And YKL-40 gene as a marker of inflammation may be an effective therapeutic target for endometrial cancer.

RBM10 Regulates Tumor Apoptosis, Proliferation, and Metastasis

The RNA-binding motif protein 10 (RBM10) is involved in alternative splicing and modifies mRNA post-transcriptionally. RBM10 is abnormally expressed in the lung, breast, and colorectal cancer, female genital tumors, osteosarcoma, and other malignant tumors. It can inhibit proliferation, promote apoptosis, and inhibit invasion and metastasis. RBM10 has long been considered a tumor suppressor because it promotes apoptosis through the regulation of the MDM2-p53 negative feedback loop, Bcl-2, Bax, and other apoptotic proteins and inhibits proliferation through the Notch signaling and rap1a/Akt/CREB pathways. However, it has been recently demonstrated that RBM10 can also promote cancer. Given these different views, it is necessary to summarize the research progress of RBM10 in various fields to reasonably analyze the underlying molecular mechanisms, and provide new ideas and directions for the clinical research of RBM10 in various cancer types. In this review, we provide a new perspective on the reasons for these opposing effects on cancer biology, molecular mechanisms, research progress, and clinical value of RBM10.

The Interaction Between Microorganisms, Metabolites, and Immune System in the Female Genital Tract Microenvironment

The female reproductive tract microenvironment includes microorganisms, metabolites, and immune components, and the balance of the interactions among them plays an important role in maintaining female reproductive tract homeostasis and health. When any one of the reproductive tract microorganisms, metabolites, or immunity is out of balance, it will affect the other two, leading to the occurrence and development of diseases and the appearance of corresponding symptoms and signs, such as infertility, miscarriage, premature delivery, and gynecological tumors caused by infectious diseases of the reproductive tract. Nutrients in the female reproductive tract provide symbiotic and pathogenic microorganisms with a source of nutrients for their own reproduction and utilization. At the same time, this interaction with the host forms a variety of metabolites. Changes in metabolites in the host reproductive tract are related not only to the interaction between the host and microbiota under dysbiosis but also to changes in host immunity or the environment, all of which will participate in the pathogenesis of diseases and lead to disease-related phenotypes. Microorganisms and their metabolites can also interact with host immunity, activate host immunity, and change the host immune status and are closely related to persistent genital pathogen infections, aggravation of infectious diseases, severe pregnancy outcomes, and even gynecological cancers. Therefore, studying the interaction between microorganisms, metabolites, and immunity in the reproductive tract cannot only reveal the pathogenic mechanisms that lead to inflammation of the reproductive tract, adverse pregnancy outcomes and tumorigenesis but also provide a basis for further research on the diagnosis and treatment of targets.

Neutrophil-to-lymphocyte ratio is an independent predictor for survival outcomes in cervical cancer: a systematic review and meta-analysis

This updated meta-analysis sought to explore whether pretreatment neutrophil-to-lymphocyte ratio (NLR) could serve as an independent predictor for survival outcomes in patients with cervical cancer. We searched PubMed, Embase, Web of science and Scopus for studies on the association of pretreatment serum NLR with overall survival (OS) and progression-free survival (PFS) among patients with cervical cancer. Included studies with a hazard ratio (HR) and 95% confidence interval (CI) or a p-value were weighted by generic inverse-variance and pooled in a random effects meta-analysis. Subgroup analyses were conducted according to regions, NLR cut-off values and treatments. Publication bias was analyzed by Egger’s and Begg’s tests. A total of 14 studies comprising 6041 patients were included. The median cut-off value for NLR was 2.46 (range from 1.60 to 3.80). The higher NLR was associated to worse OS (HR 1.86, 95% CI 1.44–2.40) and PFS (HR 1.67, 95% CI 1.25–2.23), compared with lower NLR. This association still exited when analyzed according to regions, NLR cut-off values. Moreover, Significant association between NLR and OS was observed in studies which included patients with early stage disease and receiving radical surgeries. High NLR is independently associated with decreased OS and PFS in patients with cervical cancer. Pretreatment NLR is of independent value to predict the survival outcomes in patients with cervical cancer, regardless of regions and primary treatments.

Prognostic utility of serum YKL-40 in patients with cervical cancer

Inflammation is one of the hallmarks of cancer and plays a crucial role in the development and progression. The objective of the present study was to investigate if high serum YKL-40 is related to poor prognosis in cervical cancer (CC) patients. A prospective biomarker study of 116 patients with CC (FIGO stage Ia: n = 4; Ib: n = 55; II: n = 26; III: n = 26; IV: n = 5) and 152 patients with cervical intraepithelial neoplasia (CIN). The patients received primary surgery, radiotherapy and chemotherapy according to standard guidelines during the period 2001-2004. Seventy patients died during the follow-up period (median 117 months, range 104-131). Serum concentrations of YKL-40 were measured by ELISA. Serum concentrations of YKL-40 were increased (p < .001) in CC patients (median 76 µg/L, IQR 45-148) compared to CIN patients (44 µg/L, IQR 30-61) and healthy women (41 µg/L, IQR 29-58). YKL-40 was elevated (>age-corrected 95th percentile of YKL-40 in healthy women) in 30 (26%) of the CC patients. Univariate Cox analysis demonstrated that YKL-40 (included as a log-transformed continuous variable (base 2)) was associated with recurrence-free survival (RFS) (HR = 1.48, 95% CI: 1.11-1.98, p = .008) and overall survival (OS) (HR = 1.74, 1.44-2.10, p < .0001). Multivariate Cox analysis showed that stage (II + III vs. I: HR = 2.92, 1.37-6.20, p = .005), YKL-40 (HR = 1.35, 1.06-1.73, p = .018) and age (HR = 1.56, 1.21-1.99, p = .0005) were independent prognostic variables of OS. During treatment, a 2-fold increase in YKL-40 compared to baseline level was associated with short RFS (HR = 1.87, 1.27-2.77, p = .0016) and OS (HR = 1.78, 1.26-2.50, p = .0010). Serum YKL-40 is an independent biomarker of OS in patients with cervical cancer.

Markers of Angiogenesis, Lymphangiogenesis, and Epithelial-Mesenchymal Transition (Plasticity) in CIN and Early Invasive Carcinoma of the Cervix: Exploring Putative Molecular Mechanisms Involved in Early Tumor Invasion

The establishment of a proangiogenic phenotype and epithelial-to-mesenchymal transition (EMT) are considered as critical events that promote the induction of invasive growth in epithelial tumors, and stimulation of lymphangiogenesis is believed to confer the capacity for early dissemination to cancer cells. Recent research has revealed substantial interdependence between these processes at the molecular level as they rely on common signaling networks. Of great interest are the molecular mechanisms of (lymph-)angiogenesis and EMT associated with the earliest stages of transition from intraepithelial development to invasive growth, as they could provide the source of potentially valuable tools for targeting tumor metastasis. However, in the case of early-stage cervical cancer, the players of (lymph-)angiogenesis and EMT processes still remain substantially uncharacterized. In this study, we used RNA sequencing to compare transcriptomes of HPV(+) preinvasive neoplastic lesions and early-stage invasive carcinoma of the cervix and to identify (lymph-)angiogenesis- and EMT-related genes and pathways that may underlie early acquisition of invasive phenotype and metastatic properties by cervical cancer cells. Second, we applied flow cytometric analysis to evaluate the expression of three key lymphangiogenesis/EMT markers (VEGFR3, MET, and SLUG) in epithelial cells derived from enzymatically treated tissue specimens. Overall, among 201 differentially expressed genes, a considerable number of (lymph-)angiogenesis and EMT regulatory factors were identified, including genes encoding cytokines, growth factor receptors, transcription factors, and adhesion molecules. Pathway analysis confirmed enrichment for angiogenesis, epithelial differentiation, and cell guidance pathways at transition from intraepithelial neoplasia to invasive carcinoma and suggested immune-regulatory/inflammatory pathways to be implicated in initiation of invasive growth of cervical cancer. Flow cytometry showed cell phenotype-specific expression pattern for VEGFR3, MET, and SLUG and revealed correlation with the amount of tumor-infiltrating lymphocytes at the early stages of cervical cancer progression. Taken together, these results extend our understanding of driving forces of angiogenesis and metastasis in HPV-associated cervical cancer and may be useful for developing new treatments.

Prognostic prediction of systemic immune-inflammation index for patients with gynecological and breast cancers: a meta-analysis

BACKGROUND

Systemic immune-inflammation index (SII) has been suggested to be effective to reflect the inflammatory status and thus may be an underlying biomarker for prognosis prediction. This hypothesis has been demonstrated in meta-analyses on several cancer types. However, there was no study to confirm the prognostic roles of SII for gynecological and breast cancers, which was the goal of our study.

METHODS

PubMed, EMBASE, and Cochrane Library databases were searched to collect the articles exploring the associations of SII with prognostic outcomes [overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), lymph node metastasis (LNM), and lymphovascular invasion (LVI)] in gynecological and breast cancers. The prognostic value of SII was estimated by hazard ratio (HR) or relative risk (RR) with 95% confidence interval (CI).

RESULTS

Nine articles involving 2724 patients in 11 datasets were included. Meta-analysis showed that a high SII index was significantly associated with poor OS (HR = 2.12, 95% CI, 1.61-2.79, P < 0.001), DFS/PFS (HR = 2.28, 95% CI 1.52-3.41, P < 0.001) and an increased risk for LNM (RR = 1.34, 95% CI 1.20-1.50, P < 0.001) in patients with gynecological and breast cancers. Subgroup analysis confirmed the prognostic role of SII for OS was applicable to all cancer types, but the association with DFS/PFS and LNM was only significant for ovarian cancer and breast cancer, especially triple-negative breast cancer. No significant association was detected between SII and LVI.

CONCLUSION

High SII may be a promising indicator for the prediction of poor prognosis in patients with gynecological and breast cancers, especially ovarian cancer and triple-negative breast cancer.