Omentin-1 is associated with the expression of proliferation, migration, and PI3K/AKT-related genes in breast cancer cells
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16 June 2026

Omentin-1 is associated with the expression of proliferation, migration, and PI3K/AKT-related genes in breast cancer cells

Trakya Univ J Nat Sci. Published online 16 June 2026.
1. İstanbul Aydın University Faculty of Medicine, Department of Medical Biology, İstanbul, Türkiye
No information available.
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Received Date: 05.02.2026
Accepted Date: 11.05.2026
E-Pub Date: 16.06.2026
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Abstract

Background

Breast cancer (BC) progression is regulated not only by intrinsic tumor characteristics but also by the tumor microenvironment, including adipose tissue-derived adipokines. Omentin-1 (intelectin-1) is a visceral adipokine implicated in metabolic regulation and inflammation; however, its role in BC remains controversial and insufficiently defined.

Aims

This study aimed to evaluate the effects of omentin-1 on the proliferation, adhesion, and migration of BC cells and to investigate its association with the expression of PIK3CA/AKT1-related and migration-associated genes.

Methods

MCF-7 (estrogen receptor-positive, weakly invasive) and MDA-MB-231 (estrogen receptor-negative, highly invasive) BC cell lines were treated with 100 and 200 ng/mL of recombinant omentin-1 for 24 and 48 h. Cell proliferation was assessed using the XTT assay, adhesion by an XTT-based method after washing, and migration via a wound-healing assay. The expression levels of PIK3CA, AKT1, and MMP-9 were analyzed by quantitative real-time polymerase chain reaction. Statistical significance was set at p < 0.05.

Results

Omentin-1 significantly reduced proliferation in MCF-7 cells at 48 h by 20%–30% relative to control (p < 0.001), whereas no significant effect was observed in MDA-MB-231 cells (p > 0.05). Adhesion remained unchanged in the two cell lines (94%–100% across all groups, p > 0.05). Migration was significantly inhibited in MCF-7 cells at 72 h, with gap closure declining from 85.71% to 62.98% and 58.98% (p = 0.031; p = 0.001). In contrast, MDA-MB-231 cells responded in a limited, time-dependent manner, with enhanced migration at 24 h and with no variations at 72 h due to complete closure. Gene expression analysis revealed dose- and time-dependent changes in transcription of PIK3CA, AKT1, and MMP-9, with each cell line showing distinct patterns.

Conclusion

Omentin-1 is associated with differential effects on BC cell behavior in a cell line-, dose-, and time-dependent manner, which are observed in parallel with alterations in the expression of PIK3CA/AKT1- and cell migration-related genes.

Keywords:
Omentin-1, breast cancer, PIK3CA, AKT1, MMP-9

Introduction

Breast cancer (BC) is one of the most common tumors among women and remains a leading cause of cancer-related mortality, primarily due to recurrence and metastasis (Riggio et al., 2021). Although advances in diagnosis and treatment have improved patient outcomes, the molecular mechanisms underlying tumor progression and metastasis are incompletely understood. Identifying factors that regulate BC cell proliferation and migration is, therefore, essential for improving prognostic assessment and developing novel therapeutic strategies.

Tumor behavior is influenced by intrinsic gene-level alterations and interactions with the tumor microenvironment (TME) (Dec et al., 2023). The adipose tissue of the breasts is a major component of this microenvironment and functions as an active endocrine organ by secreting adipokines that regulate inflammation, metabolism, angiogenesis, and cell signaling (Kothari et al., 2020). An increasing body of evidence suggests that adipokines can modulate key processes, including cell proliferation, adhesion, and migration, involved in carcinogenesis (Dec et al., 2023; Kothari et al., 2020). Obesity-associated adipose tissue dysfunction has been linked to chronic low-grade inflammation, insulin resistance, and altered adipokine profiles, which may promote the initiation and progression of breast tumors. Specific adipokines, such as leptin and adiponectin, have been extensively implicated in BC biology, with leptin generally exerting pro-tumorigenic effects by promoting proliferation, angiogenesis, and migration; in contrast, adiponectin is more often associated with anti-proliferative and pro-apoptotic impacts. Therefore, the imbalance of adipokine signaling within the obese breast TME is considered an important contributor to BC aggressiveness and determinant of clinical outcomes (Lamabadusuriya et al., 2025; Ma et al., 2025; Verras et al., 2023).

Omentin-1, also known as intelectin-1 (ITLN1), is a visceral adipose tissue-derived adipokine with reported anti-inflammatory, antioxidant, and endothelial-protective properties (Gu et al., 2019; Maruyama et al., 2012; Mylonakis et al., 2025; Yamawaki et al., 2011). At the molecular level, it is associated with the PIK3CA/AKT1 signaling pathway, which plays a central role in regulating cell growth, survival, and motility and is frequently dysregulated in BC. This pathway is one of the most commonly altered signaling cascades in BC, with activating mutations in PIK3CA and aberrant AKT signaling contributing to tumor progression, epithelial–mesenchymal transition (EMT), metastasis, and resistance to endocrine and targeted therapies. Furthermore, its activation leads to downstream signaling through mTOR, forming the PI3K/AKT/mTOR axis, which supports tumor cell growth, survival, and metabolic adaptation (Khorasani et al., 2024; Ortega et al., 2020). Alterations in this pathway have been associated with tumor aggressiveness and metastatic potential (Dec et al., 2023; Li et al., 2015b; Ortega et al., 2020).

Experiments investigating the role of omentin-1 in cancer have yielded inconsistent results. Omentin-1 promotes proliferation, invasion, migration, and angiogenesis in colorectal cancer cells, whereas tumor-suppressive impacts, including reduced proliferation and enhanced apoptosis, have been described in gastric cancer, neuroblastoma, and hepatocellular carcinoma cells (Li et al., 2015a; Li et al., 2015b; Mylonakis et al., 2025; Ye et al., 2019; Zhang & Zhou, 2013; Zhang et al., 2020).

These divergent findings support the notion that the bioeffects of omentin-1 are highly context-dependent and vary according to cancer type and cell environment.

Clinical studies evaluating circulating omentin-1 levels in BC have reported conflicting findings, and in vitro data addressing its impacts on BC cell behavior remain limited (Abas et al., 2022; Christodoulatos et al., 2021; Panagiotou et al., 2021; Tahmasebpour et al., 2020). In line with this observation, clinical investigations of breast neoplasms have demonstrated altered circulating omentin-1 contents compared with healthy controls, suggesting a role of this adipokine in BC biology that has not yet been fully clarified. Moreover, the potential impacts of omentin-1 on the expression of PIK3CA/AKT1-related and migration-associated genes in BC cells remain poorly elucidated.

Therefore, the present study aimed to investigate the influence of omentin-1 on proliferation, adhesion, and migration in BC cell lines with distinct phenotypic characteristics. In addition, it evaluated the expression of PIK3CA/AKT1- and migration-associated genes, including PIK3CA, AKT1, and MMP-9, to provide insights into the molecular associations underlying the cell-level responses to omentin-1.

Materials and Methods

Cell Culture

MCF-7 (weakly invasive, estrogen positive) and MDA-MB-231 (highly invasive, estrogen negative) BC cell lines were obtained from the American Type Culture Collection (USA) and cultured in 75 cm2 flasks containing Dulbecco’s Modified Eagle’s Medium containing 10% (v/v) fetal bovine serum, penicillin/streptomycin (100 units/mL), and 2 mM L-glutamine at 5% CO2 and 37 °C temperature. The cultured cells were treated with 100 and 200 ng/mL recombinant omentin-1 (Catalog no: 9137-IN-050, R&D Systems) to evaluate its molecular effects.

Cell Proliferation

Cell proliferation was determined using the 2,3-Bis(2-Methoxy-4-Nitro-5-Sulfophenyl)-2H-Tetrazolium-5-Carboxanilide (XTT) method, which relies on the suppression of mitochondrial enzymes in metabolically active cells. Briefly, 7 × 103 cells were seeded into each well of a 96-well plate. Following the incubation period, 50 μL of XTT solution was added to each well containing 100 μL of medium, and A450 was measured after 2 h using a Multiskan GO ELISA reader (Thermo Scientific) following the kit instructions to quantify cell proliferation. Each experiment was repeated at least three times, six wells per repetition.

Adhesion Assay

To evaluate adhesion, 7 × 103 cells were seeded into each well of a 96-well plate. For each experimental group, including adhesion and corresponding control wells, eight wells were allocated. After allowing cell adherence for 24 h, omentin-1 was administered at the previously indicated concentrations. Following incubation, non-adherent cells were removed by washing the wells three times with PBS. Cell adhesion was then quantified via the XTT assay, and absorbance was measured with an ELISA reader. All experiments were performed in triplicate.

Migration Assay

Cell migration was assessed employing a wound-healing assay. Cells were seeded into 35-mm tissue culture dishes at a density of 5 × 10⁵ cells per dish and allowed to attach for 24 h. Subsequently, linear wounds were created by scratching the cell monolayer with a sterile 1-mL pipette tip. Detached cells were removed by washing with fresh culture medium, after which omentin-1 was added. Following 1 h of incubation, baseline images were obtained, and wound widths at all line intersections were measured at 24, 48, and 72 h using an inverted microscope equipped with a μm-level scale. Cell migration was quantified by measuring wound closure in 45 randomly selected areas per sample at each time point. Each experiment was repeated independently three times.

Determination of Gene Expression Levels by Real-Time Polymerase Chain Reaction (PCR)

Total RNA Isolation

Cultured cells were detached from the flask with trypsin and seeded into 6-well culture dishes at a density of 5 × 105 cells per well. After a 24 h incubation period, recombinant omentin-1 was added at 100 and 200 ng/mL, and cells were treated for 24 and 48 h. At the end of each incubation, cells were trypsinized, harvested from the flask bottom, and total RNA was isolated using the Biobasic EZ-10 kit following the manufacturer’s protocol. RNA concentration was determined using a spectrophotometer. RNA samples were stored at −80 °C until use.

cDNA Synthesis

cDNA was synthesized using 200 ng of total RNA with the OneScript® cDNA Synthesis Kit (abm) per the manufacturer’s protocol. Briefly, random primers, RT buffer, dNTPs, nuclease-free water, and reverse transcriptase were employed under optimized PCR conditions (Techne). The synthesized cDNAs were then stored at −20 °C until further use in qPCR analysis.

qRT-PCR

Expression patterns of the target genes PIK3CA (Hs00907957_m1), AKT1 (Hs00178289_m1), MMP-9 (Hs00957562_m1), and 18S RNA (Hs99999901_s1) were analyzed using real-time PCR (Stratagene Mx3000p, California, USA). The qPCR reaction mix was prepared by mixing cDNAs with appropriate primer probes (TaqMan® Gene Expression Assay, 20X), PCR master mix (TaqMan® Gene Expression Master Mix), and nuclease-free water. Gene expression in cells was quantified using gene-specific primer-probe sets and normalized employing the 18S RNA housekeeping gene. The fold change in transcription was calculated using the 2^-ΔΔCT method (Schmittgen & Livak, 2008).

Statistical Analysis

All experiments were performed in at least three independent biological replicates, each including technical triplicates. Data are presented as the mean ± standard deviation. Normality of data distribution was assessed using the Shapiro–Wilk test, and homogeneity of variance was evaluated utilizing Levene’s test before parametric analyses. For proliferation and adhesion assays involving two independent variables—dose and time—within each cell line, two-way analysis of variance (ANOVA) was applied to evaluate main and synergistic effects. For migration and gene expression analyses, which included three independent variables—cell line, dose, and time—three-way ANOVA was used to assess the effects of these factors and their interactions. Post hoc comparisons were performed employing Tukey’s Honestly Significant Difference test. A level of p < 0.05 was considered statistically significant. All analyses were performed utilizing IBM SPSS Statistics software.

Results

Cell Proliferation

At 24 h, proliferation of MCF-7 cells did not differ significantly between the control group and 100 ng/mL (p = 0.914) or 200 ng/mL (p = 0.958) omentin-1 treated groups, and between the 100 and 200 ng/mL groups (p = 0.992). However, unlike between the treatment groups (p = 0.998), proliferation declined significantly in the 100 ng/mL (p < 0.001) or 200 ng/mL (p < 0.001) groups compared to the control at 48 h (Figure 1a). Similarly, at 24 h, proliferation in MDA-MB-231 did not differ statistically between the 100 ng/mL (p = 0.960) or 200 ng/mL (p = 0.972) groups compared to the control, and between the treated groups (p = 0.999). Although a slight decrease was observed at 48 h, there was no variation between the treated groups (p = 0.472) (Figure 1b).

Adhesion

The effects of omentin-1 on adhesion in MCF-7 and MDA-MB-231 cell lines were evaluated at 24 and 48 h (Figure 1c–d). In MCF-7 cells, adhesion levels were relatively stabilized across treatment groups. At 24 h, these were 98.45% in the control, 98.88% at 100 ng/mL (p = 0.989), and 97.50% at 200 ng/mL (p = 0.947); at 48 h, these were 95.46%, 96.25% (p = 0.952), and 97.82% (p = 0.654), respectively. However, no notable differences were observed between the treatment groups, indicating that omentin-1 did not markedly affect adhesion capacity (Figure 1c). In MDA-MB-231 cells, adhesion values were also high and fluctuated only minimally following treatment. At 24 h, adhesion decreased slightly from 100% (control) to 97.17% (100 ng/mL) (p = 0.630) and 98.08% (200 ng/mL) (p = 0.783). At 48 h, the values were 98.19%, 94.12% (p = 0.587), and 98.04% (p = 0.999) (Figure 1d). Although 100 ng/mL induced a modest reduction, particularly at 48 h, overall changes remained limited.

Migration

Omentin-1 was more effective in suppressing the migration of MCF-7 than MDA-MB-231 cells (Figure 1e–f). In the control group MCF-7 cells, gap closure increased over time—24 h: 25.65%, 48 h: 58.86%, and 72 h: 85.71%. Omentin-1 did not significantly alter migration at early time points; at 24 h, closure rates were 27.14% (100 ng/mL) (p = 0.962) and 27.52% (200 ng/mL) (p = 0.941); at 48 h, these were 45.81% and 46.32%, respectively (p = 0.189; p = 0.213). However, at 72 h, omentin-1 markedly reduced migration, with gap closure decreasing to 62.98% (100 ng/mL; p = 0.031) and 58.98% (200 ng/mL; p = 0.001) compared to the control (Figure 1e). The control group MDA-MB-231 cells showed enhanced baseline migration levels: 24 h, 30.24%; 48 h, 56.47%; and 72 h, 100%. Omentin-1 caused a more variable response. At 24 h, migration reached 37.67% (100 ng/mL) and 47.79% (200 ng/mL), with statistical significance (p = 0.047 and p < 0.001, respectively). At 48 h, closure was further increased at 200 ng/mL (68.93%; p = 0.017), but did not alter significantly at 100 ng/mL (55.87%; p = 0.189). At 72 h, all groups reached 100% closure, indicating no detectable impacts at this time point (Figure 1f).

Gene Expression Levels

The effect of omentin-1 on the expression levels of PIK3CA, AKT1, and MMP-9 was investigated (Figure 2). In MCF-7 cells, treatment with 100 ng/mL omentin-1 induced statistically significant decreases in the transcription of PIK3CA (p < 0.001), AKT1 (p < 0.001), and MMP-9 (p < 0.001) at 24 h, but with all genes enhanced at 48 h (p < 0.001). Conversely, with 200 ng/mL omentin-1, the expression of PIK3CA (p < 0.05), AKT1 (p < 0.001), and MMP-9 (p < 0.01) was elevated at 24 h; however, transcription of all genes declined significantly at 48 h (p < 0.001). Additionally, transcription of all three genes increased at 24 h and then decreased at 48 h in the 100 and 200 ng/mL groups (p < 0.001).

In MDA-MB-231 cells treated with 100 ng/mL omentin-1, AKT1 (p < 0.05) and MMP-9 (p < 0.001) expression declined significantly at 24 h, whereas the transcription of all three increased significantly at 48 h (p < 0.01; p < 0.001; and p < 0.001). In cells treated with 200 ng/mL omentin-1, PIK3CA expression was elevated (p < 0.05). Additionally, MMP-9 expression was reduced at 24 h (p < 0.001); transcription of all three genes increased significantly at 48 h (p < 0.001). Notably, at 24 h, the expression of PIK3CA (p < 0.01) and AKT1 (p < 0.05) was higher with 200 ng/mL omentin-1 than with 100 ng/mL; at 48 h, transcription of all genes was significantly greater with 200 ng/mL omentin-1 (p < 0.001).

Discussion

The present study identified omentin-1 to be associated with differential effects on BC behavior depending on cell type, concentration, and exposure time. The most prominent findings were the inhibition of omentin-1 on proliferation and migration in MCF-7 cells, which were limited or absent in the more invasive MDA-MB-231 cells. These observations suggest that biological responses to omentin-1 may vary according to the molecular characteristics of BC cells. One possible explanation may involve estrogen receptor (ER) status. MCF-7 cells are ER-positive, whereas MDA-MB-231 cells are ER-negative, representing distinct subtypes of BC (Ford et al., 2011). The unique responses of these cell lines may be associated with variations in signaling environments linked to ER status (Khatpe et al., 2021; Lee et al., 2005; Mohamood, 1995). ERα interacts with the PI3K/AKT/mTOR axis through genomic and non-genomic mechanisms. In particular, membrane-associated ERα can interact with the p85 regulatory subunit of PI3K, leading to AKT activation independent of transcriptional regulation (Lee et al., 2005; Simoncini et al., 2000). Such ligand-sensitive regulation may maintain the PI3K/AKT/mTOR axis in a more dynamic and modulatable state in ER-positive cells, potentially rendering MCF-7 cells more responsive to external stimuli, such as omentin-1 (Gil, 2014; Khatpe et al., 2021). In contrast, ER-negative BC cells exhibit a more constitutive activation of PI3K/AKT signaling, which may suppress their responsiveness to upstream regulatory inputs. In line with this result, the limited response in MDA-MB-231 cells observed in the present study may reflect a less modulatable signaling environment associated with this phenotype (Fruman et al., 2017; Glaviano et al., 2023; Lee et al., 2005). Together, these findings suggest that ER status may contribute to a framework associated with PI3K/AKT/mTOR signaling dynamics and adipokine responsiveness in BC cells.

The PI3K/AKT/mTOR axis represents a central signaling network in BC, regulating cell growth, survival, and metastasis. Its dysregulation, frequently driven by alterations such as PIK3CA mutations and PTEN loss, contributes to tumor progression and therapeutic resistance. Moreover, the bidirectional crosstalk between ER signaling and the PI3K/AKT/mTOR pathway further highlights its role in subtype-specific tumor behavior and treatment response. In this context, the differential impacts of omentin-1 in MCF-7 and MDA-MB-231 cells may be associated with ER-related variations in PI3K/AKT signaling dynamics (Dec et al., 2023; Dong et al., 2021; Gil, 2014; Glaviano et al., 2023; Khatpe et al., 2021; Khorasani et al., 2024; Li et al., 2015b; Ortega et al., 2020; Zhang et al., 2024).

A complementary mechanism may involve ER-associated differences in adipokine signaling. Adiponectin, an adipokine of the same functional class as omentin, exerts ER-dependent effects in BC, demonstrating predominantly antiproliferative and pro-apoptotic actions in ER-negative cells; in contrast, its role in ER-positive cells remains controversial and may involve growth-promoting impacts through ERα signaling crosstalk (Naimo et al., 2020). In addition, variations in adipokine receptor expression across BC subtypes have been reported, with lower receptor levels associated with ER-negative and more aggressive phenotypes (Llanos et al., 2020). Although a direct relationship between ER status and omentin receptor (ITLN1) expression has not been clearly established, adipokine signaling may vary with cell context, and ER status may influence this response. In this context, the differential reactions to omentin-1 observed in this study may reflect ER-associated variations in adipokine signaling and downstream pathway responsiveness.

The antiproliferative influence of omentin-1 was evident in MCF-7 cells at 48 h, whereas no marked changes were observed at earlier time points or in MDA-MB-231 cells. This finding was consistent with previous reports demonstrating that omentin-1 exerts divergent effects on proliferation depending on cancer type (Li et al., 2015a; Li et al., 2015b; Mylonakis et al., 2025; Ye et al., 2019; Zhang & Zhou, 2013; Zhang et al., 2020). Such a limited response in MDA-MB-231 cells may be associated with sustained activation of oncogenic pathways, particularly PI3K/AKT, which can reduce sensitivity to upstream regulatory signals (Fruman et al., 2017; Glaviano et al., 2023).

Omentin-1 did not prominently affect adhesion in either cell line, suggesting a limited role in early attachment-associated processes. In contrast, migration assays demonstrated that omentin-1 reduced migratory capacity more prominently in MCF-7 than in MDA-MB-231 cells, particularly at later time points. However, in addition to potential changes in migratory capacity, remarkably reduced wound closure observed at 72 h in MCF-7 cells may partly reflect decreased proliferative activity at earlier time points. Studies have reported inhibitory or promotive effects of omentin-1 on migration depending on cancer type, supporting a context-dependent response (Dec et al., 2023; Li et al., 2015a; Li et al., 2015b; Ye et al., 2019; Zheng et al., 2012).

To further evaluate the molecular associations underlying these responses, the expression patterns of PIK3CA, AKT1, and MMP-9 were analyzed. In the present study, omentin-1 was associated with concentration- and time-dependent changes in gene expression in the two cell lines. Lower or higher concentrations of omentin-1 resulted in opposite temporal expression patterns in MCF-7 cells, whereas the responses were less uniform and increased at later time points in MDA-MB-231 cells.

Clinical evidence suggests a possible involvement of omentin-1 in PIK3CA/AKT1-related processes, indicating a potential association between omentin-1 and tumor behavior in a cancer-type-dependent manner (Borowski & Siemińska, 2020). In addition, clinical studies investigating circulating omentin-1 levels in patients with BC have reported inconsistent findings, with increased or decreased contents observed depending on disease stage and metabolic status (Abas et al., 2022; Christodoulatos et al., 2021; Panagiotou et al., 2021; Tahmasebpour et al., 2020). These discrepancies may reflect the heterogeneous nature of BC and suggest that the bioeffects of omentin-1 are influenced by tumor subtype and cell context.

In line with these observations, our findings suggest that omentin-1 is associated with cell line-specific and time-dependent changes in BC cell behavior. The alterations observed in the expression of proliferation, migration, and PIK3CA/AKT1-related genes suggest a context-dependent association rather than a uniform effect. Collectively, these results support the notion that omentin-1 may modulate the transcription of genes related to tumor progression. Thus, changes in the expression of PI3K/AKT/mTOR-related genes may contribute to the variable effects of adipokines in BC.

Study Limitations

This study has several drawbacks that must be acknowledged. First, the findings are based on in vitro experiments conducted in two BC cell lines, which may not fully reflect the complexity of tumor behavior in vivo. Second, molecular analysis was limited to the transcription of select PIK3CA/AKT1- and migration-associated genes, without translation-level validation. Additionally, circulating or tissue levels of omentin-1 and functional pathway inhibition were not included. Furthermore, cell migration may be influenced by concurrent effects on proliferation, particularly in MCF-7 cells, where reduced proliferative activity may have suppressed wound closure at later time points. Therefore, these results should be interpreted within the context of these experimental constraints, and further in vivo and mechanistic studies are warranted to confirm and extend their universality.

Conclusion

In conclusion, the present study demonstrates that omentin-1 exerts cell line-specific and time-dependent effects on BC cell behavior. Omentin-1 reduced proliferation and migration predominantly in MCF-7 cells, whereas its effects were limited in the more invasive MDA-MB-231 cells, accompanied by differential changes in PIK3CA/AKT1-related and migration-associated gene expression. These findings suggest that omentin-1 may be associated with the contextual modulation of BC cell behavior. However, further in vivo and in vitro studies, as well as comprehensive investigations of tissue and circulating omentin-1 levels specific to cancer type and disease stage, are needed to clarify its diagnostic, prognostic, and therapeutic relevance.

Ethics

Ethics Committee Approval: Since this study was conducted using commercially available cell lines and did not involve human participants or experimental animals, ethics committee approval was not required.
Data Sharing Statement: All data are available within the study.
Authorship Contributions: Conceptualization: A.S.; Design/methodology: A.S.; Execution/investigation: A.S.; Resources/materials: A.S.; Data analysis/interpretation: A.S. and Gü.K.; Writing – original draft: A.S.; Writing – review & editing/critical revision: A.S., Gü.K., and Gö.K.
Conflict of Interest: The author(s) have no conflicts of interest to declare.
Funding: This work was supported by a grant from the Research Fund of İstanbul Aydın University (Project No: 2018/08).

References

1
Abas, A.-S. M., Sherif, M. H., & Elmoneam Farag, S. A. (2022). Diagnostic and prognostic role of serum omentin and NGAL levels in Egyptian breast cancer patients. International Journal of Breast Cancer, 2022 , Article 5971981. https://doi.org/10.1155/2022/5971981
2
Borowski, A., & Siemińska, L. (2020). Serum omentin levels in patients with prostate cancer and associations with sex steroids and metabolic syndrome. Journal of Clinical Medicine, 9 (4), Article 1179. https://doi.org/10.3390/jcm9041179
3
Christodoulatos, G. S., Antonakos, G., Karampela, I., Psallida, S., Stratigou, T., Vallianou, N., Lekka, A., Marinou, I., Vogiatzakis, E., & Kokoris, S. (2021). Circulating omentin-1 as a biomarker at the intersection of postmenopausal breast cancer occurrence and cardiometabolic risk: An observational cross-sectional study. Biomolecules, 11 (11), Article 1609. https://doi.org/10.3390/biom11111609
4
Dec, P., Poniewierska-Baran, A., Modrzejewski, A., & Pawlik, A. (2023). The role of omentin-1 in cancers development and progression. Cancers, 15 (15), Article 3797. https://doi.org/10.3390/cancers15153797
5
Dong, C., Wu, J., Chen, Y., Nie, J., & Chen, C. (2021). Activation of PI3K/AKT/mTOR pathway causes drug resistance in breast cancer. Frontiers in Pharmacology, 12 , Article 628690. https://doi.org/10.3389/fphar.2021.628690
6
Ford, C. H. J., Al-Bader, M., Al-Ayadhi, B., & Francis, I. (2011). Reassessment of estrogen receptor expression in human breast cancer cell lines. Anticancer Research, 31 (2), 521-527.
7
Fruman, D. A., Chiu, H., Hopkins, B. D., Bagrodia, S., Cantley, L. C., & Abraham, R. T. (2017). The PI3K pathway in human disease. Cell, 170 (4), 605-635. https://doi.org/10.1016/j.cell.2017.07.029
8
Gil, E. M. C. (2014). Targeting the PI3K/AKT/mTOR pathway in estrogen receptor-positive breast cancer. Cancer Treatment Reviews, 40 (7), 862-871. https://doi.org/10.1016/j.ctrv.2014.03.004
9
Glaviano, A., Foo, A. S. C., Lam, H. Y., Yap, K. C. H., Jacot, W., Jones, R. H., Eng, H., Nair, M. G., Makvandi, P., & Geoerger, B. (2023). PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer. Molecular Cancer, 22 (1), Article 138. https://doi.org/10.1186/s12943-023-01827-6
10
Gu, N., Wang, J., Di, Z., Liu, Z., Jia, X., Yan, Y., Chen, X., Zhang, Q., & Qian, Y. (2019). The effects of intelectin-1 on antioxidant and angiogenesis in HUVECs exposed to oxygen glucose deprivation. Frontiers in Neurology, 10 , Article 383. https://doi.org/10.3389/fneur.2019.00383
11
Khatpe, A. S., Adebayo, A. K., Herodotou, C. A., Kumar, B., & Nakshatri, H. (2021). Nexus between PI3K/AKT and estrogen receptor signaling in breast cancer. Cancers, 13 (3), Article 369. https://doi.org/10.3390/cancers13030369
12
Khorasani, A. B. S., Hafezi, N., Sanaei, M., Jafari-Raddani, F., Pourbagheri-Sigaroodi, A., & Bashash, D. (2024). The PI3K/AKT/mTOR signaling pathway in breast cancer: Review of clinical trials and latest advances. Cell Biochemistry and Function, 42 (3), Article e3998. https://doi.org/10.1002/cbf.3998
13
Kothari, C., Diorio, C., & Durocher, F. (2020). The importance of breast adipose tissue in breast cancer. International Journal of Molecular Sciences, 21 (16), Article 5760. https://doi.org/10.3390/ijms21165760
14
Lamabadusuriya, D. A., Jayasena, H., Bopitiya, A. K., De Silva, A. D., & Jayasekera, P. (2025). Obesity-driven inflammation and cancer risk: A comprehensive review. Seminars in Cancer Biology. Advance online publication. https://doi.org/10.1016/j.semcancer.2025.01.001
15
Lee, Y.-R., Park, J., Yu, H.-N., Kim, J.-S., Youn, H. J., & Jung, S. H. (2005). Up-regulation of PI3K/Akt signaling by 17β-estradiol through activation of estrogen receptor-α, but not estrogen receptor-β, and stimulates cell growth in breast cancer cells. Biochemical and Biophysical Research Communications, 336 (4), 1221-1226. https://doi.org/10.1016/j.bbrc.2005.08.256
16
Li, D., Mei, H., Pu, J., Xiang, X., Zhao, X., Qu, H., Huang, K., Zheng, L., & Tong, Q. (2015a). Intelectin 1 suppresses the growth, invasion and metastasis of neuroblastoma cells through up-regulation of N-myc downstream regulated gene 2. Molecular Cancer, 14 , Article 93. https://doi.org/10.1186/s12943-015-0320-6
17
Li, D., Zhao, X., Xiao, Y., Mei, H., Pu, J., Xiang, X., Jiao, W., Song, H., Qu, H., & Huang, K. (2015b). Intelectin 1 suppresses tumor progression and is associated with improved survival in gastric cancer. Oncotarget, 6 (18), 16168-16182. https://doi.org/10.18632/oncotarget.3753
18
Llanos, A. A. M., Lin, Y., Chen, W., Yao, S., Norin, J., Chekmareva, M. A., Omene, C., Cong, L., Omilian, A. R., & Khoury, T. (2020). Immunohistochemical analysis of adipokine and adipokine receptor expression in the breast tumor microenvironment: Associations of lower leptin receptor expression with estrogen receptor-negative status and triple-negative subtype. Breast Cancer Research, 22 (1), Article 18. https://doi.org/10.1186/s13058-020-1252-4
19
Ma, X., Yang, S., & Li, D. (2025). New insights into adipokines and the tumor microenvironment in breast cancer. Cancer Control, 32 , Article 10732748251347916. https://doi.org/10.1177/10732748251347916
20
Maruyama, S., Shibata, R., Kikuchi, R., Izumiya, Y., Rokutanda, T., Araki, S., Kataoka, Y., Ohashi, K., Daida, H., & Kihara, S. (2012). Fat-derived factor omentin stimulates endothelial cell function and ischemia-induced revascularization via endothelial nitric oxide synthase-dependent mechanism. Journal of Biological Chemistry, 287 (1), 408-417. https://doi.org/10.1074/jbc.M111.261818
21
Mohamood, A. S. (1995). Estrogen receptor, growth factor receptor and protooncogene protein activities and possible signal transduction crosstalk in estrogen dependent and independent breast cancer cell lines [Doctoral dissertation, Howard University].
22
Mylonakis, A., Frountzas, M., Lidoriki, I., Kozadinos, A., Koloutsou, M. E., Margoni, A., Kalfoutzou, A., Theodorou, D., Toutouzas, K. G., & Schizas, D. (2025). The role of omentin in gastrointestinal cancer: Diagnostic, prognostic, and therapeutic perspectives. Metabolites, 15 (10), Article 649. https://doi.org/10.3390/metabo15100649
23
Naimo, G. D., Gelsomino, L., Catalano, S., Mauro, L., & Ando, S. (2020). Interfering role of ERα on adiponectin action in breast cancer. Frontiers in Endocrinology, 11 , Article 66. https://doi.org/10.3389/fendo.2020.00066
24
Ortega, M. A., Fraile-Martínez, O., Asúnsolo, Á., Buján, J., García-Honduvilla, N., & Coca, S. (2020). Signal transduction pathways in breast cancer: The important role of PI3K/Akt/mTOR. Journal of Oncology, 2020 , Article 9258396. https://doi.org/10.1155/2020/9258396
25
Panagiotou, G., Triantafyllidou, S., Tarlatzis, B. C., & Papakonstantinou, E. (2021). Serum levels of irisin and omentin-1 in breast neoplasms and their association with tumor histology. International Journal of Endocrinology, 2021 , Article 5519607. https://doi.org/10.1155/2021/5519607
26
Riggio, A. I., Varley, K. E., & Welm, A. L. (2021). The lingering mysteries of metastatic recurrence in breast cancer. British Journal of Cancer, 124 (1), 13-26. https://doi.org/10.1038/s41416-020-01161-4
27
Schmittgen, T. D., & Livak, K. J. (2008). Analyzing real-time PCR data by the comparative Ct method. Nature Protocols, 3 (6), 1101-1108. https://doi.org/10.1038/nprot.2008.73
28
Simoncini, T., Hafezi-Moghadam, A., Brazil, D. P., Ley, K., Chin, W. W., & Liao, J. K. (2000). Interaction of oestrogen receptor with the regulatory subunit of phosphatidylinositol-3-OH kinase. Nature, 407 (6803), 538-541. https://doi.org/10.1038/35035131
29
Tahmasebpour, N., Feizi, M. A. H., Ziamajidi, N., Pouladi, N., Montazeri, V., Farhadian, M., & Abbasalipourkabir, R. (2020). Association of omentin-1 with oxidative stress and clinical significances in patients with breast cancer. Advanced Pharmaceutical Bulletin, 10 (1), 106-113. https://doi.org/10.15171/apb.2020.013
30
Verras, G.-I., Tchabashvili, L., Chlorogiannis, D.-D., Mulita, F., & Argentou, M.-I. (2023). Updated clinical evidence on the role of adipokines and breast cancer: A review. Cancers, 15 (5), Article 1572. https://doi.org/10.3390/cancers15051572
31
Yamawaki, H., Kuramoto, J., Kameshima, S., Usui, T., Okada, M., & Hara, Y. (2011). Omentin, a novel adipocytokine inhibits TNF-induced vascular inflammation in human endothelial cells. Biochemical and Biophysical Research Communications, 408 (2), 339-343. https://doi.org/10.1016/j.bbrc.2011.04.039
32
Ye, H., Luo, H., Tu, Y., & Cui, L. (2019). Omentin-1 promotes the proliferation, invasion, migration and angiogenesis of colorectal cancer cells. Journal of Biomaterials and Tissue Engineering, 9 (5), 673-678. https://doi.org/10.1166/jbt.2019.2056
33
Zhang, H., Jiang, R., Zhu, J., Sun, K., Huang, Y., Zhou, H., Zheng, Y., & Wang, X. (2024). PI3K/AKT/mTOR signaling pathway: An important driver and therapeutic target in triple-negative breast cancer. Breast Cancer, 31 (4), 539-551. https://doi.org/10.1007/s12282-024-01558-4
34
Zhang, Y.-Y., & Zhou, L.-M. (2013). Omentin-1, a new adipokine, promotes apoptosis through regulating Sirt1-dependent p53 deacetylation in hepatocellular carcinoma cells. European Journal of Pharmacology, 698 (1-3), 137-144. https://doi.org/10.1016/j.ejphar.2012.11.016
35
Zhang, Y., Zhao, X., & Chen, M. (2020). Autocrine action of adipokine omentin-1 in the SW480 colon cancer cell line. Oncology Letters, 19 (1), 892-898. https://doi.org/10.3892/ol.2019.11152
36
Zheng, L., Weng, M., Qi, M., Qi, T., Tong, L., Hou, X., & Tong, Q. (2012). Aberrant expression of intelectin-1 in gastric cancer: Its relationship with clinicopathological features and prognosis. Journal of Cancer Research and Clinical Oncology, 138 (1), 163-172. https://doi.org/10.1007/s00432-011-1084-y