Interleukin-8 Induces Proliferation of Ovarian Cancer Cells in 3D Spheroids

Uddin, Mohammad M.; Gaire, Bijaya; Vancurova, Ivana

doi:10.1007/978-1-0716-0247-8_10

Cited by 12 publications

(7 citation statements)

References 11 publications

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“…DPY30 is suggested as an oncogene for ovarian cancer and high expression of DPY30 is associated with reduced survival in patients [ 35 ]. Experimental evidence suggests that a higher expression of CXCL8 in ovarian cancer cells is associated with metastasis and angiogenesis [ 36 , 37 ]. TSPAN1 is reported to be overexpressed in both ovarian cancer tissue and cell lines [ 38 ].…”

Section: Discussionmentioning

confidence: 99%

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Gyllensten

Hedlund-Lindberg

Svensson

et al. 2022

Cancers

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Background: Ovarian cancer is the eighth most common cancer among women and has a 5-year survival of only 30–50%. The survival is close to 90% for patients in stage I but only 20% for patients in stage IV. The presently available biomarkers have insufficient sensitivity and specificity for early detection and there is an urgent need to identify novel biomarkers. Methods: We employed the Explore PEA technology for high-precision analysis of 1463 plasma proteins and conducted a discovery and replication study using two clinical cohorts of previously untreated patients with benign or malignant ovarian tumours (N = 111 and N = 37). Results: The discovery analysis identified 32 proteins that had significantly higher levels in malignant cases as compared to benign diagnoses, and for 28 of these, the association was replicated in the second cohort. Multivariate modelling identified three highly accurate models based on 4 to 7 proteins each for separating benign tumours from early-stage and/or late-stage ovarian cancers, all with AUCs above 0.96 in the replication cohort. We also developed a model for separating the early-stage from the late-stage achieving an AUC of 0.81 in the replication cohort. These models were based on eleven proteins in total (ALPP, CXCL8, DPY30, IL6, IL12, KRT19, PAEP, TSPAN1, SIGLEC5, VTCN1, and WFDC2), notably without MUCIN-16. The majority of the associated proteins have been connected to ovarian cancer but not identified as potential biomarkers. Conclusions: The results show the ability of using high-precision proteomics for the identification of novel plasma protein biomarker candidates for the early detection of ovarian cancer.

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Section: Discussionmentioning

confidence: 99%

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Gyllensten

Hedlund-Lindberg

Svensson

et al. 2022

Cancers

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“…In bladder cancer, it was demonstrated that CM derived from TAM‐like PBMC macrophages is high in CXCL8 and increased bladder cancer cell migration via upregulation of MMP9 and VEGF (Wu et al 2020a). In separate studies, CXCL8 treatment of HCCs (Bi et al 2019) and OCCs (Uddin et al 2020) promoted migration, proliferation, and invasion of both cancer types. The overexpression of CXCL8 in the LoVo CRC cell line increases proliferation and leads to an EMT phenotype via activation of the PI3K/AKT/NFKß pathways, and could be the mechanism responsible in the previous two studies (Shen et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Chemokine signaling in cancer-stroma communications

Singh

Gray

2021

J. Cell Commun. Signal.

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Cancer is a multi-faceted disease in which spontaneous mutation(s) in a cell leads to the growth and development of a malignant new organ that if left undisturbed will grow in size and lead to eventual death of the organism. During this process, multiple cell types are continuously releasing signaling molecules into the microenvironment, which results in a tangled web of communication that both attracts new cell types into and reshapes the tumor microenvironment as a whole. One prominent class of molecules, chemokines, bind to specific receptors and trigger directional, chemotactic movement in the receiving cell. Chemokines and their receptors have been demonstrated to be expressed by almost all cell types in the tumor microenvironment, including epithelial, immune, mesenchymal, endothelial, and other stromal cells. This results in chemokines playing multifaceted roles in facilitating context-dependent intercellular communications. Recent research has started to shed light on these ligands and receptors in a cancer-specific context, including cell-type specificity and drug targetability. In this review, we summarize the latest research with regards to chemokines in facilitating communication between different cell types in the tumor microenvironment.

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“…CXCL4 insufficiency was involved in specific inflammatory microenvironment of ovarian cancers arising in endometriosis [28]. Recombinant CXCL8 (rIL-8) attenuated si-JMJD2A-suppressed malignancy of OC cells(OCC) and CXCL8 induced proliferation of OCC in 3D Spheroids [29,30]. In a mouse model of high-grade serous ovarian cancer, CXCL10 altered the tumor immune microenvironment and facilitated disease progression [31].…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis of Potential Therapeutic Targets and Prognostic Biomarkers amid CXC Chemokines in Ovarian Carcinoma Microenvironment

Jin

Lin

et al. 2021

Journal of Oncology

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Background. Ovarian cancer (OC) is one of the leading lethal gynecologic cancers of women around the world. More than 70% of patients are diagnosed with stage III or IV with poor outcome. This is partly because of lacking early effective screening techniques and potential biomarkers of OC. CXC chemokines in tumor microenvironment (TME) and their interaction with relative receptors can excite the downstream signaling pathways to influence tumor progression. However, the role of CXC chemokines in OC has not been identified. Methods. ONCOMINE, GEPIA, Kaplan–Meier plotter, cBioPortal, TIMER, Metascape, and LinkedOmics were applied in our study. Results. The transcriptional levels of CXCL1/8/9/10/11/12/13/14/16/17 were significantly elevated while CXCL3 was obviously reduced in OC vs normal ovarian tissue. CXCL8/9/11/13 were correlated with clinic pathological stage. Patients with low expression of CXCL8/9/11/13 were associated with better prognosis. We also found that CXCL3 and CXC12 could be used as potential prognostic markers of OC through Kaplan–Meier plotter. Patients with high expression of CXCL3/12 had a significantly better prognosis. Their functions focus on locomotion, signaling, response to stimulus, undergoing the process of multiorganism, immune system, biological regulation, etc. The differentiated CXC chemokines mainly participate in cytokine-cytokine receptor interaction, chemokine signaling pathway, IL-17 signaling pathway, and toll-like receptor signaling pathway. Our results showed that CXC chemokines were highly correlated with infiltration of immune cells. The kinase targets of differentially expressed CXC chemokines are mainly in ATM, LYN, LCK, PLK1, FYN, CDK2, and ATR. Conclusions. Our results may provide a new insight for selecting precision biomarkers of targeted therapy of OC.

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Interleukin-8 Induces Proliferation of Ovarian Cancer Cells in 3D Spheroids

Cited by 12 publications

References 11 publications

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Chemokine signaling in cancer-stroma communications

Bioinformatics Analysis of Potential Therapeutic Targets and Prognostic Biomarkers amid CXC Chemokines in Ovarian Carcinoma Microenvironment

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