Analysis of CXCL8 and its receptors CXCR1/CXCR2 at the mRNA level in neoplastic tissue, as well as in serum and peritoneal fluid in patients with ovarian cance
- Authors:
- Published online on: August 2, 2022 https://doi.org/10.3892/mmr.2022.12812
- Article Number: 296
-
Copyright: © Smycz‑Kubańska et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Ovarian cancer is ranked as one of the most dangerous gynecological cancers, which is associated with a high rate of mortality (1). According to the World Health Organization, ~313,959 cases of ovarian cancer are diagnosed annually and >207,252 deaths are recorded, making ovarian cancer the seventh most common type of cancer and the fifth most common cause of cancer-associated death worldwide (2–5). Notably, >70% of all ovarian cancer cases are diagnosed at a late clinical stage (stage III or IV) according to the International Federation of Gynecology and Obstetrics (FIGO) classification (1,6,7). The reason for the late diagnosis of ovarian cancer is the asymptomatic course of the disease in the early stages, the non-specificity of clinical symptoms and the lack of parameters useful for early diagnosis. The incidence of ovarian cancer is increasing, particularly in developed countries; therefore, there is a need for further research to better understand the mechanisms involved in the pathogenesis of this disease (5,8,9).
An important role in the formation and development of ovarian cancer is attributed to disturbances in the immune system, particularly involving interactions between immune cells and tumor cells. Interactions occurring in the tumor microenvironment include both direct interactions and indirect actions involving soluble mediators, including chemokines and their receptors. Numerous studies have reported the involvement of chemokines and their receptors in several physiological and pathological processes, including tumorigenesis and chronic inflammation (10–13). In the body, inflammatory mediators aim to eliminate pathogenic agents and restore homeostasis; however, excessive inflammation can lead to overproduction of cytokines and chemokines, which result in the formation of a network of interrelationships that can directly affect tumor development. Through these networks, the signaling process is disrupted, surrounding cells are stimulated, new blood vessels are formed and, consequently, tumors can grow (14–16). Furthermore, it has been shown that in the course of a number of malignancies, cancer cells have the ability to secrete the chemokine C-X-C motif chemokine ligand 8 (CXCL8, also Interleukin 8-IL-8) in an autocrine or paracrine manner (13). Chemokines can also be produced by tumor-infiltrating leukocytes and tumor-associated fibroblasts. Cancer cells are also capable of taking control of host cell signaling and regulatory mechanisms responsible for the synthesis of various growth factors using chemokine and receptor pathways (17).
The CXCL8 chemokine is regulated through two specific receptors, C-X-C chemokine receptor (CXCR)1 and CXCR2, and has an important role in the pathological mechanism of ovarian cancer. Notably, via its autocrine action on cells, CXCL8 can affect ovarian cancer cell proliferation, invasion and angiogenesis (18). CXCL8 is a chemokine that belongs to the CXC family. Its function is to activate neutrophil granulocytes and recruit granulocytes to sites of inflammation (19). CXCL8 is secreted by a large group of cells, including circulating monocytes in the blood, macrophages present in the alveoli, fibroblasts, endothelial cells and epithelial cells. CXCL8 synthesis occurs under the influence of several factors, including: tumor necrosis factor-α, interleukin (IL)-1, IL-6, and stressors of environmental and chemical origin, such as hypoxia and reactive oxygen species (20,21).
CXCL8-mediated signaling depends on the extracellular binding of the chemokine to CXCR1 or CXCR2, which are both coupled to G protein (20). In addition, CXCR1 has a high specificity to the chemokine CXCL8 compared with CXCR2, which can bind to other ILs (22). CXCR1 and CXCR2 are found on the surface of a variety of cells, both normal and cancerous (23). The interaction between CXCL8 and CXCR1 or CXCR2 has a significant function in the development of the inflammatory process and thus affects different stages of carcinogenesis, leading to the promotion, progression and metastasis of cancer, including ovarian cancer (11–13,24). Notably, the CXCL8-CXCR1/2 signaling axis may serve an important role in tumorigenesis and the formation of secondary tumor foci by controlling the proliferation and self-renewal of cancer stem cells (20). Furthermore, the CXCL8-CXCR1 signaling pathway has been reported to primarily enhance cancer cell proliferation, whereas the CXCL8-CXCR2 pathway can affect angiogenesis (19).
Disturbances in the immune system serve an important role in the formation and development of ovarian cancer, particularly those involving chemokines and their receptors. Understanding the relationship between the coexistence of inflammatory and neoplastic processes may help to elucidate the involvement of the studied parameters in tumor pathogenesis and could lead to improved clinical applications. Therefore, the aim of the present study was to analyze the levels of CXCL8, and its receptors CXCR1 and CXCR2, in the serum and peritoneal fluid of women with ovarian cancer. In addition, the association between the expression levels of CXCL8, CXCR1 and CXCR2, and the degree of histological differentiation, was assessed in ovarian cancer.
Materials and methods
Patients
The present study included 32 patients aged 28–89 years (mean age, 61.3415.55 years), who were hospitalized at the Gynecology and Obstetrics Department with Pregnancy Pathology and Gynecology Oncology Subdivisions, Provincial Specialist Hospital Blessed Virgin Mary (Częstochowa, Poland) and were diagnosed with ovarian serous cystadenocarcinoma III C according to FIGO. In 12 patients, the neoplasm was of G1 histological differentiation grade, in 10 patients it was of G2 histological differentiation grade, and in the remaining 10 patients it was of G3 histological differentiation grade. Patients and control individuals were recruited between May 2019 and February 2022.
The clinical staging classification of ovarian cancer was established based on the FIGO guidelines. The degree of histological differentiation of cancer was graded according to the following criteria: G1, highly differentiated; G2, moderately differentiated; G3, poorly differentiated. The diagnosis was based on clinical symptoms, results of gynecological and histopathological examinations, laboratory tests and exclusion of the coexistence of other diseases of reproductive organs. The women that qualified to the studied group were clinically diagnosed with ovarian tumors confirmed with a histopathological examination. None of the examined women were administered pharmacological treatments in the previous 3 months.
Serum, peritoneal fluid and tumor tissue were examined for all of the recruited patients. In the study group, blood was taken from women after establishing the clinical diagnosis and before surgery. Blood was taken in the morning from the cubital vein and was added to tube containing a clot activator, in order to obtain serum; 30 min after blood collection, it was centrifuged at 1,500 × g for 15 min at room temperature the serum was obtained and maintained at −80°C until further use. Tumor tissue intended for molecular examination was collected during the planned surgery and frozen at −80°C until analyses were performed. Peritoneal fluid was collected during laparoscopy for bacteriological examination, was centrifuged at 1,500 × g for 10 min at 4°C, and the obtained supernatant was partitioned and frozen at −80°C until the remaining determinations were made.
The control group consisted of 15 women aged between 22 and 77 years (mean age, 52.08±18.00 years) who were diagnosed with a benign lesion (serous cystadenoma). Serum samples were used as control.
The present study was conducted according to the guidelines of the Declaration of Helsinki, and was approved by the Ethics Committee of Medical University of Silesia in Katowice (Sosnowiec, Poland; protocol code KNW/0022/KB1/49/19). All patients agreed to participate in the present study and provided written informed consent.
ELISA analyses
The concentration of CXCL8 in the serum and peritoneal fluid was determined by sandwich ELISA using the Human Interleukin-8 ELISA kit (cat. no. RD194558200R; BioVendor LM), according to the manufacturer's instructions. The sensitivity of the assay was 0.5 pg/ml. The concentration of CXCR1 and CXCR2 was determined by sandwich ELISA using the CLOUD-CLONE ELISA kit (cat. nos. SEA019Hu and SEC006Hu; Cloud-Clone Corp.), according to the manufacturer's instructions. The sensitivity of the assay for CXCR1 was 0.054 ng/ml, whereas for CXCR2 it was 0.057 ng/ml.
Reverse transcription-quantitative PCR (RT-qPCR)
Total RNA was extracted from tissue samples using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.), according to the manufacturer's instructions. Quantitative analysis of RNA was performed using a nanospectrophotometer (MaestroNano MN-913; MaestroGen, Inc.). Qualitative analysis was performed by electrophoresis on a 1% agarose gel. The mRNA expression levels of CXCL8, CXCR1 and CXCR2 were evaluated using RT-qPCR. The quantitative analysis was carried out using LightCycler® 480 System (Roche Diagnostics) and GoTaq® 1-Step RT-qPCR System (Promega GmbH), according to the manufacturers' instructions, under the following conditions: RT at 37°C for 15 min; RT inactivation/Hot-start activation at 95°C for 10 min; followed by 40 cycles of denaturation at 95°C for 10 sec, annealing at 60°C for 30 sec, elongation at 72°C for 30 sec. Amplification was performed using KiCqStart SYBR Green oligonucleotide primers (Sigma-Aldrich; Merck KGaA), as follows: CXCL8, forward (F) 5-'TGTAAACATGACTTCCAAGC-3′, reverse (R) 5′-AAAACTGCACCTTCACAC-3′; CXCR1, F 5′-TTAAGTCACTCTGATCTCTGAC-3′, R 5′-TGGTTTGATCTAACTGAAGC-3′; CXCR2, F 5′GTGATAGCTGAGAATATGCAG-3′, R 5′-ACTTAAATCCTGACTGGGTC-3′; and β-actin, F 5′-GACGACATGGAGAAAATCTG-3′ and R 5′-ATGATCTGGGTCATCTTCTC-3′. Melting curve analysis and 2% agarose gel electrophoresis were used to confirm the specificity of amplification and the absence of primer dimers. RT-qPCR data were analysed by the 2−ΔΔCq method using β-actin as an internal control (25).
Statistical analysis
The obtained results were statistically analysed using Statistica 13.3 software (StatSoft Polska Sp. z o.o.). The normality of the distribution of the studied variables was assessed using the Shapiro-Wilk test. The significance of differences between two groups was determined with Mann-Whitney U-test. The significance of differences between more than two groups was determined by Kruskal-Wallis test, followed by Dunn's post-hoc analysis. P<0.05 was considered to indicate a statistically significant difference. Correlation was assessed using Pearson correlation for logarithmic data (r).
Results
Concentration of CXCL8, and its receptors CXCR1 and CXCR2, in serum
The levels of CXCL8, and its receptors CXCR1 and CXCR2, in the serum of women with serous ovarian cystadenocarcinoma were evaluated according to histological differentiation stage. It was revealed that the concentration of CXCL8 was significantly increased between G1, G2 and G3 grades (P<0.0001). Analysis of the concentration of the examined parameter in successive grades of histological differentiation in comparison with the control group showed a statistically significant difference only in the G2 and G3 grades (P<0.0001) (Fig. 1A). Further analysis included evaluation of serum CXCR1 levels according to histological differentiation stage. There was a statistically significant difference in these concentrations between grades G1 and G3 (P<0.001), and between G2 and G3 (P<0.05). Furthermore, when compared with the control group, a statistically significant difference was shown only in grade G3 (P<0.001) (Fig. 1B). Regarding serum CXCR2 levels, there were no statistically significant differences between the different degrees of histological differentiation, nor between G1-G3 grades and the control group (Fig. 1C). The obtained results are also shown in Table I.
Table I.Serum concentrations of CXCL8 and its receptors in women with ovarian cancer and the control group. |
Concentration of CXCL8, and its receptors CXCR1 and CXCR2, in peritoneal fluid
The concentrations of CXCL8, and its receptors CXCR1 and CXCR2, in the peritoneal fluid of women with ovarian cancer were evaluated according to histological differentiation stage. CXCL8 levels in the peritoneal fluid were only significantly different between grades G2 and G3 (P<0.05; Fig. 1D). Notably, there were no statistically significant differences between the concentration of CXCR1 in the peritoneal fluid between patients with different degrees of histological differentiation of ovarian cancer (Fig. 1E). By contrast, analysis of CXCR2 concentration in the peritoneal fluid revealed a statistically significant difference between G1 and G2 grades (P<0.001), and between G2 and G3 grades (P<0.05) (Fig. 1F).
mRNA expression levels of CXCL8, and its receptors CXCR1 and CXCR2, in tumor tissue
The highest mRNA expression levels of CXCL8, and its receptors CXCR1 and CXCR2, were detected in the tumor tissues obtained from patients with G3 grade ovarian cancer. However, no statistically significant differences were found (P>0.05; Fig. 2).
Positive statistically significant correlations were detected between serum and peritoneal fluid levels of CXCL8, CXCR1 and CXCR2 in women with ovarian cancer (Fig. 3). There were no statistically significant correlations detected between the serum and tissue levels, and between the peritoneal fluid and tissue levels, with regard to CXLC8, CXCR1 and CXCR2 (data not shown).
Discussion
Previous studies have predicted that mortality from ovarian cancer will continue to increase until 2040 (3,26); therefore, research into the biology of ovarian cancer continues, with the aim of understanding the mechanisms involved in its pathogenesis, which may prove useful in developing new diagnostic and therapeutic regimens. Previous studies have reported that the process of ovarian tumorigenesis is accompanied by chronic inflammation (27,28). In this process, an important role is attributed to the CXCL8 chemokine system, along with its receptors CXCR1 and CXCR2, which serve an important role in tumor formation and development by affecting the different stages of carcinogenesis, consequently leading to ovarian cancer progression (10–13).
The aim of the present study was to analyze the expression of the CXCL8 chemokine, and its receptors CXCR1 and CXCR2, in tumor tissue, and to evaluate the levels of these parameters in serum and peritoneal fluid from women diagnosed with ovarian cancer, taking into account the histological differentiation of ovarian cancer. The analysis of CXCL8 revealed that the levels were significantly higher in the serum of patients diagnosed with ovarian cancer compared with those in the control group (P<0.01), which may indicate the involvement of the studied cytokine in the pathogenesis of ovarian cancer. Moreover, statistical significance was demonstrated between the G1, G2 and G3 grades (P<0.0001). These findings indicated that a relationship may exist between CXCL8 secretion and the degree of histological differentiation of ovarian cancer. However, when analyzing CXCL8 concentration in the peritoneal fluid, a statistically significant difference was only found between differentiation grades G2 and G3 (P<0.05). A similar tendency was observed regarding CXCL8 mRNA expression in tumor tissue, where the highest expression levels were detected in the G3 grade; however, no statistically significant differences were noted between the studied groups.
In the pathological mechanism of ovarian cancer development, an important role has been attributed to the proinflammatory chemokine CXCL8, which has chemotactic effects on cells expressing CXCR1 and CXCR2. Moreover, CXCL8 interacting with the tumor microenvironment can positively influence tumor growth, stimulate new blood vessel formation and promote the formation of secondary tumor foci (29). Browne et al (30) detected significantly elevated levels of CXCL8 in each histological subtype of ovarian cancer, and demonstrated the existence of a relationship between CXCL8 chemokine levels and the clinical stage of ovarian cancer. Analogous results were obtained by Crispim et al (31); significantly elevated serum levels of CXCL8 were detected in women diagnosed with ovarian malignancy and benign tumors compared with those detected in a group of women without reproductive system conditions. In addition, the authors revealed that the prognosis of patients with ovarian cancer was worse when higher levels of the chemokine persisted during the course of the disease. Furthermore, Zhang et al (32) analyzed chemokine levels in the course of ovarian cancer and observed that the stage of ovarian cancer was correlated with the levels of CXCL8. In addition, significantly higher serum levels of CXCL8 were detected in women with stage III and IV ovarian cancer compared with those in women with stage I and II ovarian cancer, according to the FIGO classification.
An important protumor role has been attributed to tumor-associated cells, mainly fibroblasts, neutrophils and macrophages, which can contribute to tumor growth and invasiveness, and can promote the formation of secondary cancer foci by secreting pro-inflammatory cytokines. Yang et al (33) evaluated the relationship between IL-8 and neutrophils during cancer development. Their study showed that the expression of numerous chemokines, particularly IL-8, was significantly higher in ovarian cancer with stronger neutrophil infiltration compared with that in ovarian cancer with little infiltration of these cells. Additionally, the study revealed that higher levels of IL-8 were correlated with an increase in tumor-associated neutrophils; therefore, IL-8 may be involved in attracting neutrophils toward the tumor microenvironment. Thongchot et al (34) demonstrated that tumor-associated fibroblasts have an important role in the pathological mechanism of ovarian cancer by mobilizing ovarian cancer cells to form metastases. Moreover, these cells could secrete CXCL8 more intensively compared with physiological fibroblasts. This previous study also revealed that increased serum CXCL8 levels were correlated with disease progression and negatively affected patient prognosis, and increased CXCL8 levels in the peritoneal fluid were correlated with ovarian cancer progression. Furthermore, over-secreted CXCL8 has been reported to act as a chemotactic factor for ovarian cancer cells, facilitating the formation of metastasis (34). Alfaro et al (35) reported that CXCL8 was also capable of attracting other cells that express its specific receptors CXCR1 and CXCR2 on their surface. In addition, Ha et al (20), showed that stimulated cells, for example those stimulated by various cytokines, were able to produce and secrete CXCL8 10 to 100 times more than under normal conditions, in which CXCL8 was mostly undetectable.
In the present study, CXCR1 levels were further evaluated in the serum and peritoneal fluid. The existence of a statistically significant difference in serum concentrations was demonstrated between grades G1 and G3 (P<0.001), and between grades G2 and G3 (P<0.05), which may indicate the involvement of CXCR1 in autocrine and paracrine signaling associated with CXCL8 in tumor development. Further tests, including assessment of patients with different ovarian cancer stages according to the FIGO classification, may provide more information on the association between serum concentration of CXCR1 and the condition of the patient. In addition, the mRNA expression levels of CXCR1 in the tumor tissue were highest at G3 grade; however, this difference was not statistically significant.
Browne et al (30) observed a correlation between the expression levels of IL-8Ra and cancer stage. By analyzing the levels of IL-8Rb, no significant association was identified in the levels of this IL-8 receptor between the study group and the control group. Their study also revealed that there was a significant association between the levels of IL-8 and IL-8R and the type of cancer. The concentration of these compounds was significantly higher in serous carcinoma, as opposed to the other histological types of ovarian cancer. Furthermore, increased expression levels of IL-8, IL-8Ra and IL-8Rb were detected in benign serous ovarian tumors and benign mucinous tumors. Comparing the levels of IL-8 and its receptors in benign and malignant ovarian tumors showed significantly decreased levels during benign tumor development.
The present study also analyzed the levels of CXCR2; no statistically significant differences were detected in the serum levels of CXCR2 between the histological grades. Similarly, differences at mRNA level were also not statistically significant. However, in the peritoneal fluid, a statistically significant difference in CXCR2 levels was identified between the G1 and G2 grades (P<0.001), and between the G2 and G3 grades (P<0.05).
Notably, Henriques et al (36) evaluated the role of CXCR2 in the pathogenesis of ovarian cancer. The results of this study revealed that CXCR2 was upregulated in patients diagnosed with ovarian cancer. Furthermore, CXCL8 and CXCL2 chemokines regulated by CXCR2, which is located on ovarian cancer cells, showed autocrine activity. Elevated levels of both chemokines in the course of ovarian cancer have been associated with the occurrence of tumor progression, formation of secondary cancer foci and chemoresistance to the applied treatment (13,37,38). In addition, Taki et al (39) indicated a significant role of CXCR2 in ovarian cancer progression, as determined using mouse models. The authors demonstrated that CXCR2 not only affected CXCL8, but also interacted with CXCL1 and CXCL2, resulting in the observed chemotaxis of myeloid-derived suppressor cells. These cells in turn may promote tumor metastasis by inducing epithelial-mesenchymal transition, consequently leading to disease progression.
The role of CXCL8-CXCR1 and CXCL8-CXCR2 signaling axes is one of several mechanisms involved in the regulation of the immune system during the antitumor response (40). According to Liu et al (19), this pathway may have an important role not only in the pathogenesis of ovarian cancer, but also in the formation of numerous other types of cancer, including breast, prostate, lung, colorectal and gastric cancer, and melanoma. Researchers have suggested that in breast cancer, CXCL8 can directly affect tumor formation; CXCL8 synthesized by cancer cells may initiate the process of neovascularization by stimulating vascular endothelial growth factor. The newly formed blood vessels can thus initiate the process of breast cancer development, and may also supply nutrients to distant metastases (19). Liubomirski et al (41) evaluated the role of the inflammatory process and the involvement of inflammatory mediators, including the chemokine CXCL8, in the pathological mechanism of breast cancer development. This previous study showed that CXCL8 directly interacted with cancer cells in triple-negative breast cancer (TNBC), resulting in increased invasiveness and aggressiveness. Using a mouse model of TNBC, it was demonstrated that CXCL8 regulated by CXCR2, and C-C motif chemokine ligand 2 regulated by receptor for chemokine CCL2, interacted with tumor-associated neutrophils and macrophages, affecting their migration to the tumor site where they promoted disease course.
In conclusion, local and systemic disturbances of immune and inflammatory responses involving the CXCL8 chemokine and its receptors indicate the involvement of these studied parameters in the pathogenesis of ovarian cancer. Moreover, immunoregulation of the CXCL8-CXCR1 system may influence the course of the inflammatory process accompanying ovarian cancer development and may have a clinical application; however, further studies are required.
Acknowledgements
Not applicable.
Funding
This research was funded by the Medical University of Silesia in Katowice, Poland (grant no. PCN-1-069/K/1/O).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
AMP was involved in conceptualization, supervision of immunology research, investigation and writing (original draft preparation, review and editing). JMG was involved in conceptualization, supervision of molecular research, investigation, and writing, reviewing and editing. MSK and SS designed and performed immunological research. CKR designed and performed molecular research. MSK, SS, CKR, DW, PKD and AS performed the experiments, and participated in data analysis and interpretation. JS, WS and AW were involved in clinical research conceptualization and data interpretation. AMP and JMG confirm the authenticity of all the raw data. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The study was conducted according to the guidelines of the Declaration of Helsinki, and was approved by the Ethics Committee of Medical University of Silesia in Katowice, Poland (protocol code KNW/0022/KB1/49/19). All patients agreed to participate in the presnt study and provided written informed consent.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Jin Y, Lin Q, Fei H, Xue L, Li L, Xi Q and Jiang H: Bioinformatics analysis of potential therapeutic targets and prognostic biomarkers amid CXC chemokines in ovarian carcinoma microenvironment. J Oncol. 2021:88595542021. View Article : Google Scholar | |
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A and Bray F: Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 71:209–249. 2021. View Article : Google Scholar : PubMed/NCBI | |
Keyvani V, Farshchian M, Esmaeili SA, Yari H, Moghbeli M, Nezhad SK and Abbaszadegan MR: Ovarian cancer stem cells and targeted therapy. J Ovarian Res. 12:1202019. View Article : Google Scholar : PubMed/NCBI | |
Yang C, Xia BR, Zhang ZC, Zhang YJ, Lou G and Jin WL: Immunotherapy for ovarian cancer: Adjuvant, combination, and neoadjuvant. Front Immunol. 11:5778692020. View Article : Google Scholar | |
Gaona-Luviano P, Medina-Gaona LA and Magaña-Pérez K: Epidemiology of ovarian cancer. Chin Clin Oncol. 9:472020. View Article : Google Scholar | |
Cortez AJ, Tudrej P, Kujawa KA and Lisowska KM: Advances in ovarian cancer therapy. Cancer Chemother Pharmacol. 81:17–38. 2018. View Article : Google Scholar | |
Bogani G, Lopez S, Mantiero M, Ducceschi M, Bosio S, Ruisi S, Sarpietro G, Guerrisi R, Brusadelli C, Dell'Acqua A, et al: Immunotherapy for platinum-resistant ovarian cancer. Gynecol Oncol. 158:484–488. 2020. View Article : Google Scholar | |
Arora T, Mullangi S and Lekkala MR: Ovarian cancer. StatPearls [Internet]. StatPearls Publishing; Treasure Island, FL: 2022 | |
Zhang M, Cheng S, Jin Y, Zhao Y and Wang Y: Roles of CA125 in diagnosis, prediction, and oncogenesis of ovarian cancer. Biochim Biophys Acta Rev Cancer. 1875:1885032021. View Article : Google Scholar : PubMed/NCBI | |
Atallah GA, Abd Aziz NH, Teik CK, Shafiee MN and Kampan NC: New predictive biomarkers for ovarian cancer. Diagnostics (Basel). 11:4652021. View Article : Google Scholar : PubMed/NCBI | |
Gonzalez-Aparicio M and Alfaro C: Significance of the IL-8 pathway for immunotherapy. Hum Vaccin Immunother. 16:2312–2317. 2020. View Article : Google Scholar : PubMed/NCBI | |
Marchewka Z, Gielniak M and Piwowar A: The role of selected mediators of inflammation in the pathogenesis of cancer. Postepy Hig Med Dosw. 72:175–183. 2018. View Article : Google Scholar | |
Łukaszewicz-Zając M, Pączek S, Mroczko P and Kulczyńska-Przybik A: The significance of CXCL1 and CXCL8 as Well as their specific receptors in colorectal cancer. Cancer Manag Res. 12:8435–8443. 2020. View Article : Google Scholar | |
Turnquist C, Ryan BM, Horikawa I, Harris BT and Harris CC: Storms in cancer and COVID-19. Cancer Cell. 38:598–601. 2020. View Article : Google Scholar | |
Kumar S, O'Malley J, Chaudhary AK, Inigo JR, Yadav N, Kumar R and Chandra D: Hsp60 and IL-8 axis promotes apoptosis resistance in cancer. Br J Cancer. 121:934–943. 2019. View Article : Google Scholar : PubMed/NCBI | |
Friedman A and Liao KL: The role of the cytokines IL-27 and IL-35 in cancer. Math Biosci Eng. 12:1203–1217. 2015. View Article : Google Scholar : PubMed/NCBI | |
Groblewska M, Litman-Zawadzka A and Mroczko B: The role of selected chemokines and their receptors in the development of gliomas. Int J Mol Sci. 21:37042020. View Article : Google Scholar | |
Lane D, Matte I, Rancourt C and Piché A: Prognostic significance of IL-6 and IL-8 ascites levels in ovarian cancer patients. BMC Cancer. 11:2102011. View Article : Google Scholar : PubMed/NCBI | |
Liu Q, Li A, Tian Y, Wu JD, Liu Y, Li T, Chen Y, Han X and Wu K: The CXCL8-CXCR1/2 pathways in cancer. Cytokine Growth Factor Rev. 31:61–71. 2016. View Article : Google Scholar : PubMed/NCBI | |
Ha H, Debnath B and Neamati N: Role of the CXCL8-CXCR1/2 axis in cancer and inflammatory diseases. Theranostics. 7:1543–1588. 2017. View Article : Google Scholar : PubMed/NCBI | |
Waugh DJ and Wilson C: The interleukin-8 pathway in cancer. Clin Cancer Res. 14:6735–6741. 2008. View Article : Google Scholar : PubMed/NCBI | |
Antonosante A, Brandolini L, d'Angelo M, Benedetti E, Castelli V, Maestro MD, Luzzi S, Giordano A, Cimini A and Allegretti M: Autocrine CXCL8-dependent invasiveness triggers modulation of actin cytoskeletal network and cell dynamics. Aging (Albany NY). 12:1928–1951. 2020. View Article : Google Scholar : PubMed/NCBI | |
Gales D, Clark C, Manne U and Samuel T: The chemokine CXCL8 in carcinogenesis and drug response. ISRN Oncol. 2013:8591542013. | |
Nolen BM and Lokshin AE: Biomarker testing for ovarian cancer: Clinical utility of multiplex assays. Mol Diagn Ther. 17:139–146. 2013. View Article : Google Scholar : PubMed/NCBI | |
Schmittgen TD and Livak KJ: Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 3:1101–1108. 2008. View Article : Google Scholar | |
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA and Jemal A: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 68:394–424. 2018. View Article : Google Scholar : PubMed/NCBI | |
Jia D, Nagaoka Y, Katsumata M and Orsulic S: Inflammation is a key contributor to ovarian cancer cell seeding. Sci Rep. 8:123942018. View Article : Google Scholar : PubMed/NCBI | |
Savant SS, Sriramkumar S and O'Hagan HM: The role of inflammation and inflammatory mediators in the development, progression, metastasis, and chemoresistance of epithelial ovarian cancer. Cancers (Basel). 10:2512018. View Article : Google Scholar | |
Wen J, Zhao Z, Huang L, Wang L, Miao Y and Wu J: IL-8 promotes cell migration through regulating EMT by activating the Wnt/β-catenin pathway in ovarian cancer. J Cell Mol Med. 24:1588–1598. 2020. View Article : Google Scholar : PubMed/NCBI | |
Browne A, Sriraksa R, Guney T, Ramac N, Van Noordena S, Curryc E, Gabrac H, Stronachc E and El-Bahrawy M: Differential expression of IL-8 and IL-8 receptors in benign, borderline and malignant ovarian epithelial tumours. Cytokine. 64:413–421. 2013. View Article : Google Scholar : PubMed/NCBI | |
Crispim PCA, Jammal MP, Antão PKA, Micheli DC, Tavares-Murta BM, Murta EFC and Nomelini RS: IL6, IL8, and IL10 in the distinction of malignant ovarian neoplasms and endometriomas. Am J Reprod Immunol. 84:e133092020. View Article : Google Scholar | |
Zhang L, Liu W, Wang X, Wang X and Sun H: Prognostic value of serum IL-8 and IL-10 in patients with ovarian cancer undergoing chemotherapy. Oncol Lett. 17:2365–2369. 2019. | |
Yang M, Zhang G, Wang Y, He M, Xu Q, Lu J, Liu H and Xu C: Tumour-associated neutrophils orchestrate intratumoural IL-8-driven immune evasion through Jagged2 activation in ovarian cancer. Br J Cancer. 123:1404–1416. 2020. View Article : Google Scholar : PubMed/NCBI | |
Thongchot S, Jamjuntra P, Therasakvichya S, Warnnissorn M, Ferraresi A, Thuwajit P, Isidoro C and Thuwajit C: Interleukin-8 released by cancer-associated fibroblasts attenuates the autophagy and promotes the migration of ovarian cancer cells. Int J Oncol. 58:142021. View Article : Google Scholar | |
Alfaro C, Teijeira A, Oñate C, Pérez G, Sanmamed MF, Andueza MP, Alignani D, Labiano S, Azpilikueta A, Rodriguez-Paulete A, et al: Tumor-produced interleukin-8 attracts human myeloid-derived suppressor cells and elicits extrusion of neutrophil extracellular traps (NETs). Clin Cancer Res. 22:3924–3936. 2016. View Article : Google Scholar : PubMed/NCBI | |
Henriques TB, Dos Santos DZ, Dos Santos Guimarães I, Tessarollo NG, Lyra-Junior PCM, Mesquita P, Pádua D, Amaral AL, Cavadas B, Pereira L, et al: Inhibition of CXCR2 plays a pivotal role in re-sensitizing ovarian cancer to cisplatin treatment. Aging (Albany NY). 13:13405–13420. 2021. View Article : Google Scholar : PubMed/NCBI | |
Duckworth C, Zhang L, Carroll SL, Ethier SP and Cheung HW: Overexpression of GAB2 in ovarian cancer cells promotes tumor growth and angiogenesis by upregulating chemokine expression. Oncogene. 35:4036–4047. 2016. View Article : Google Scholar : PubMed/NCBI | |
Stronach EA, Cunnea P, Turner C, Guney T, Aiyappa R, Jeyapalan S, de Sousa CH, Browne A, Magdy N, Studd JB, et al: The role of interleukin-8 (IL-8) and IL-8 receptors in platinum response in high grade serous ovarian carcinoma. Oncotarget. 6:31593–31603. 2015. View Article : Google Scholar | |
Taki M, Abiko K, Baba T, Hamanishi J, Yamaguchi K, Murakami R, Yamanoi K, Horikawa N, Hosoe Y, Nakamura E, et al: Snail promotes ovarian cancer progression by recruiting myeloid-derived suppressor cells via CXCR2 ligand upregulation. Nat Commun. 9:16852018. View Article : Google Scholar : PubMed/NCBI | |
Han ZJ, Li YB, Yang LX, Cheng HJ, Liu X and Chen H: Roles of the CXCL8-CXCR1/2 axis in the tumor microenvironment and immunotherapy. Molecules. 27:1372021. View Article : Google Scholar : PubMed/NCBI | |
Liubomirski Y, Lerrer S, Meshel T, Rubinstein-Achiasaf L, Morein D, Wiemann S, Körner C and Ben-Baruch A: Tumor-stroma-inflammation networks promote pro-metastatic chemokines and aggressiveness characteristics in triple-negative breast cancer. Front Immunol. 10:7572019. View Article : Google Scholar |