Skip to main content

The expression of miRNA-152-3p and miRNA-185 in tumor tissues versus margin tissues of patients with chemo-treated breast cancer

Abstract

Objective

Breast cancer (BC) is the most significant and lethal type of cancer in women. Although there are many newly develop chemotherapy drugs for patients with BC treating at various stages, drug resistance is the most important obstacle in their effectiveness for BC treatment. On the other hand, microRNAs are considered key regulators of genes involved in carcinogenesis and chemoresistance in cancers. The purpose of this study was to evaluate the role of miR-152-3p and miR-185 in intrinsic chemoresistance and proliferation of BC. In addition, the potential role of these miRNAs during chemoresistance was evaluated through possible signaling pathways.

Results

Here, miR-152-3p was significantly downregulated in tumor tissues compared to the corresponding margin tissues in patients with BC (p-value ≥ 0.04407 and fold change = − 2.0552). In contrast, no statistically significant difference was observed in the miR-185 expression between the two groups. Furthermore, no significant correlation was found between the expression of these two miRNAs and subfactors, including cancer family history, abortion, and age. Downregulation of miR-152-3p could be considered a promising regulator of BC chemoresistance.

Introduction

Breast cancer (BC) is the most common malignancy among women worldwide and the main cause of cancer-related mortality [1,2,3]. According to the world health organization (WHO) reports, the incidence rates are approximately 1.7 million new cases and more than 520,000 annual deaths [4].

During the past few decades, new treatment approaches for BC have significantly developed, which not only decreased the mortality rate but also improved patients’ quality of life [5,6,7]. Recent studies revealed several intricate mechanisms that are involved in intrinsic and acquired chemoresistance [8,9,10]. There are two forms of drug resistance in cancer: intrinsic resistance and acquired resistance. Intrinsic resistance refers to resistance prior to prescribing the drug, and this is due to the innate ability of cancer cells to survive in drug-related clinical concentrations. Poor initial response to treatment indicates that a patient has intrinsic drug resistance. According to Verheul and Pinedo, more than 50% of all cancer patients are resistant to chemotherapy before starting treatment (intrinsic resistance), and other patients also resist during treatment (acquired resistance) [11]. Intrinsic and acquired resistance to chemotherapeutic agents is considered the main obstacle to successful treatment in patients with BC [12]. Thus, investigation of the molecular mechanisms of drug resistance in BC may help reach better-targeted treatment by significantly improving therapeutic outcomes and prognosis for patients with chemo-resistant BC.

Increasing evidence shows that aberrant activation of the phosphatidylinositol-3-kinase (PI3K)/AKT signaling pathway is common in various types of neoplasms. Furthermore, PTEN plays a negative regulatory role in the PI3K/AKT signaling. It is involved in many important processes such as cell growth and apoptosis and drug resistance/sensitivity. Thus, targeting PI3K/AKT and its downstream pathways may provide new hope for therapeutic interventions of cancers [13,14,15,16]. MicroRNAs (miRNAs) are a family of noncoding-RNAs, playing a crucial role in post-transcriptionally gene expression modulation [17]. Recently, it has been determined that miRNAs can play key roles during cancer development and resistance to chemotherapy by acting as oncogenes or tumor suppressors [18,19,20].

A bulk of evidence indicated that both miR-152-3p and miR-185 as tumor suppressors and induced progression of multidrug resistance in different human tumors, including osteosarcoma [21], epithelial ovarian cancer [22], colorectal [23], liver cancer stem cells[24], NSCLC cells [25, 26], gastric [27], melanoma [28], nasopharyngeal carcinoma [29], and BC [26]. Hence, the association of miR-152-3p and miR-185 expression levels with chemoresistance could help better understanding the molecular and biological processes involved in response to chemotherapy in various types of cancers, especially BC.

In the current study, the expression level of miR-152-3p and miR-185 was evaluated in tumor and margin tissues of patients with BC. Moreover, in combination with bioinformatics analysis, the potential role of these miRNAs during chemoresistance was evaluated through possible signaling pathways.

Main text

Material and methods

Tissue specimens

Two hundred tumor tissues and corresponding normal margin of tumor tissues were collected from patients with BC from 2018 to 2019 who underwent surgery at Noor Nejat Hospital, Tabriz, Iran. The collected tissues were dissected by a pathologist for diagnosing BC foci as well as margin tissues. After chemotherapy courses, it was determined- by the oncologist- that eighty tumor tissues have shown initial resistance to chemotherapy. This study was approved by the Ethics Committee of Clinical Research of Tabriz University of Medical Sciences (Ethical code: IR.TBZMED.REC.1397.1048). Demographic and clinical characteristics were collected from the patients' records (Additional file 1: 1). The specimens were obtained from mastectomy immediately frozen and stored at − 80 °C before RNA isolation.

RNA isolation

Tissue samples were cut in 20 μm-thick sections then were homogenized in liquid nitrogen. Each of the samples was directly immersed in TRIzol reagent (GeneAll, South Korea). The purity of extracted total RNAs was evaluated by the NanoDrop spectrometer (Thermo Scientific, USA) and gel electrophoresis. Finally, isolated RNAs were eluted in 30 μL of RNase-free water and stored at − 80 °C until use.

cDNA synthesis and Real-time PCR

Complementary DNA (cDNA) was synthesized using reverse-transcriptase enzyme (Thermo Fisher, US), buffer (Thermo Fisher, US), dNTP, and miRNA- specific stem-loop-primers (Sinacolon Co. Iran, Tehran) for miR-185-5p and miR-152-3p. The U6 snRNA was also considered the reference gene. This mix of cDNA synthesis was carried out by BIO-RAD-Gradient thermocycler PCR (Germany) at the temperature program of 30 min at 16 °C, 30 min at 42 °C and the last step to inactivate the enzyme the reaction was incubated at 5 min at 75 °C. Ampliqon SYBR® Green master mix (Denmark) and miR-185-5p, miR-152-5p, and U6 specific forward primers and common reverse primers were used for quantitative Real-time PCR (qRT-PCR). All qPCR reactions were performed in triplicate. Real-time-PCR was done by LightCycler® 96 Real-time PCR Cycler (Roche) system, in two steps as follows: for miR-185-5p: 10 min at 94 °C, 40 cycles of 15 s at 94 °C and 30 s at 54 °C. For miR-152-5p: 10 min at 94 °C, 40 cycles of 15 s at 94 °C, and 30 s at 60 °C. Then, for RNU6 amplification:10 min at 94 °C, 40 cycles in 15 s at 94 °C and 20 s at 56 °C. The relative expression levels of miRNAs were calculated using the 2−ΔΔCt method relative to U6. The results were shown by LightCycler® 96 v1.1.0 Software. The primer sequences are shown in Table 1.

Table 1 Stem-loop primer (cDNA synthesis) and real-time primer sequences

Statistical analysis

Data analysis

Shapiro–Wilk test was performed to assess the normality of data. Next, the gene expression differences were compared between tumor tissues and margins using paired t-test and delta-CTs. Two-sample paired t-test was performed to compare the miRNA expression levels with subsets of the study, including cancer family history, abortion history, and age. The gene expression levels in subsets of the study, including abortion history, age, and cancer family were compared. A t-test for the logarithm2 of fold changes was applied to compare gene expression levels among subsets of the study. Statistical analyses were done by R software version 0.5.1, and P-value of ≤ 0.05 was considered statistically significant. The results were presented as mean ± standard error of mean (SEM).

In silico analysis of miR-152-3p targets and related molecular signaling pathways

To validate targetome of miR-152-3p, miRTarBase 7.0 [29] database was applied. Further, in silico analysis was employed to achieve the vision of biological procedures that are controlled by miR-152. All target genes of miR-152-3p experimentally verified were extracted from the miRTarBase 7.0 database. Finally, to enrich related signaling pathways to miR-152-3p dysregulation, target genes were investigated in the WEB-based Gene Set Analysis Toolkit (webgestalt) database (http://www.webgestalt.org/), and the Over-Representation enrichment (ORA) was selected and pathways were enriched based on Reactome database. The reference gene list was set to "genome-protein-coding," and the adjustment p-value was set as Benjamini-Hochberg. Other parameters were set as defaults.

Results

MiR-152-5p and miR-185-5p expression levels

Paired T-test results revealed that the miR-152-3p expression level decreased in tumor tissues compared to the corresponding margins (p-value ≥ 0.04407 and fold change = -2.0552) (Fig. 1A). On the contrary to miR-152-3p, no statistically significant change was observed in the miR-185-5p expression levels between tumor tissues and the corresponding margins (p-value ≤ 0.1017 and fold change = -1.6621) (Fig. 1B).

Fig. 1
figure1

The expression of miRNAs in tumor tissues and corresponding margin tissues. A The miR-152-3p expression in tumor tissues and corresponding margins. B The miR-185-5p expression in tumor tissues and corresponding margins. In both figures, ΔCTs were used to show the expression level normalized to U6 snRNA in tumor and normal tissues

Subgroup analysis

The results of two-sample t-test demonstrated that firstly, there was no significant different expression levels of miR-152-5p and miR-185-5p among patients with and without abortion history in the past (p-value ≤ 0.4864, fold change = 0.70113) (Additional file 1: 2.a), (p-value ≤ 0.6572, fold change = 0.44646) (Additional file 1: 3.a). Moreover, there was no significant difference in the expression level of miR-152-5p (p-value ≤ 0.2623) (fold change = -1.1361) (Additional file 1: 2.b) and miR-185-5p (p-value ≤ 0.9613, fold change = 0.048805) between patients ≤ 50 and > 50 ages, respectively (Additional file 1: 3.b). However, there was no significant difference in the expression level of miR-152-5p between patients with and without cancer family history (Cancer family history means that a close relative has BC) (p-value ≤ 0.09579, fold change = -1.6964) (Additional file 1: 2.c). The miR-185-5p expression level was significantly different between the patients with and without cancer family history (p-value ≤ 0.02586, fold change = -2.293) (Additional file 1: 3.c).

In silico analysis

The 158 experimentally validated gene targets of miR-152-3p were obtained by the miRTarBase 7.0 database. The miRNA-gene interaction was depicted by Cytoscape V 3.7.1 (Additional file 1: 4). ORA database revealed that ten categories of the biological processes were enriched among miR-152-3p target genes. All 10 of these biological processes are shown in (Additional file 1: 5). Moreover, the ORA analysis discovered ten significant signaling pathways in which the targets of miR-152 are involved (Table 2).

Table 2 Pathways that are enriched among target genes of miRNA-152-3p

Discussion

Therapeutic resistance to chemotherapy is considered the most important global health challenge for patients with cancers, especially patients with BC [6, 30, 31]. Recently, numerous experimental and clinical studies have shown that miRNAs participate in several cellular events, particularly in resistance/sensitivity to drugs and cancer progression [32, 33]. Therefore, identifying drug resistance-specific miRNAs and their target genes is critical for understanding their role in BC chemotherapy. Further, they could be potential candidates for therapeutic intervention [34, 35].

In the current study, based on previous studies and in silico analysis, it was predicted that miR-152-3p and miR-185 could be involved in BC chemoresistance. For this reason, we evaluate and compare the expression of the aforementioned miRNAs in tumor tissues relative to the margins from BC-resistant patients to chemotherapy. As mentioned in the results, we found that the expression level of miR-152-3p was significantly downregulated in BC tumor tissues compared to margin tissues. According to the previous studies, concerning chemoresistance and proliferation in various types of cancers, it has been shown that there is a significant relationship between miR-152-3p with chemoresistance and proliferation. For example, A Maimaitiming et al. proved the tumor-suppressive role of miR-152 by significantly downregulation in BC tissues relative to paired adjacent noncancerous tissues. Besides, he found that miR-152 overexpression significantly inhibited proliferation, migration, and invasion of BC cells [36].

Wen, Y.-Y et al. reported that miR-152 downregulation is associated with BC development. Moreover, induction of miR-152 could sensitize BC cells to the paclitaxel therapy by targeting β-catenin and PKM2 repression [37]. Shuke Ge et al. found that miR-152 plays a tumor-suppressive role in BC through negative regulation of PIK3CA expression and AKT and RPS6 inhibition, which leads to suppression of BC cell proliferation [38].

Moreover, Xu Chen et al. [26] found that the miR-148/152 family attenuates Adriamycin resistance of BC cells and tissues by downregulating the SPIN1, which is a protein highly expressed in human cancers, especially BC. [39, 40]. Therefore, downregulation of miR-152-3p in tumors relative to adjacent tissues may result in an elevated expression level of SPIN1 and resistance to chemotherapy.

According to bioinformatics results, among important molecular pathways enriched by the webgestalt database, PI3K-Akt signaling pathway and regulation of PTEN mRNA translation are important enriched signaling pathways in which the targets of miR-152-3p are involved, and there may be a relationship between miR-152-3p expression and BC chemoresistance. The PI3K-Akt signaling is an intracellular signaling pathway involved in pivotal processes such as proliferation, cell survival, and angiogenesis [41]. PTEN acts as a tumor-suppressor gene and negatively regulates PI3K-Akt signaling [42]. In the upstream of Akt, PTEN blocks the formation of phosphatidylinositol-3, 4, 5-trisphosphate (PIP3) from phosphatidylinositol-4, 5-bisphosphate (PIP2), thereby inhibiting PI3 kinase (PI3K) activity. Several human tumor cell lines have been reported to evade apoptosis through the excessive activation of the PI3K/Akt pathway, which is the result of a mutation or downregulation of PTEN [43]. Additionally, it has been demonstrated that constitutive activation of PI3K-Akt signaling causes cell resistance to many chemotherapy agents by promoting proliferation and inhibiting apoptosis of cancer cells [44]. M Alam et al. showed the significant loss of PTEN expression in 26.4% BC cases, suggesting loss of PTEN expression could play a key role in breast carcinogenesis, due to lack of control of the signaling pathways such as likely PI3K-Akt signaling that mediates cellular processes like apoptosis and migration [45].

Finally, demographic characteristics of the current study showed that no significant difference was seen between the miR-152 and miR-185 expression levels. Some demographic factors such as cancer, family history, or abortion history need further studies to be clarified.

Conclusion

The findings of the current study suggested miR-152-3p as a potential biomarker in BC chemoresistance patients. Besides, the PI3K/Akt signaling was predicted as a possible key modulator during BC chemoresistance. Further studies are needed to elucidate these findings.

Limitations

The small sample size was considered the limitation of this study. Also, applying only one miRNA-target database could be mentioned as another limitation.

Availability of data and materials

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Abbreviations

BC:

Breast Cancer

MicroRNA:

MiRNA

HCC:

Hepatocellular carcinoma

NSCLC:

Non-small cell lung cancer

PI3K/AKT:

Phosphatidylinositol-3- kinase

SPIN1:

Spindlin1

MCL:

Mantle cell lymphoma

PTEN:

Phosphatase and tensin homolog

References

  1. 1.

    Zhang M, et al. lncRNA NEAT1 is closely related with progression of breast cancer via promoting proliferation and EMT. Eur Rev Med Pharmacol Sci. 2017;21(5):1020–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Key TJ, Verkasalo PK, Banks E. Epidemiology of breast cancer. Lancet Oncol. 2001;2(3):133–40.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  3. 3.

    Delgir S, et al. The pathways related to glutamine metabolism, glutamine inhibitors and their implication for improving the efficiency of chemotherapy in triple-negative breast cancer. Mutat Res Rev Mutat Res. 2021;787:108366.

    CAS  Article  Google Scholar 

  4. 4.

    Ullah M, et al. Mesenchymal stem cells confer chemoresistance in breast cancer via a CD9 dependent mechanism. Oncotarget. 2019;10(37):3435.

    PubMed  PubMed Central  Article  Google Scholar 

  5. 5.

    O’Driscoll L, Clynes M. Biomarkers and multiple drug resistance in breast cancer. Curr Cancer Drug Targets. 2006;6(5):365–84.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  6. 6.

    Gonzalez-Angulo AM, Morales-Vasquez F, Hortobagyi GN. Overview of resistance to systemic therapy in patients with breast cancer. In: Breast cancer chemosensitivity. New York: Springer; 2007. p. 1–22.

    Google Scholar 

  7. 7.

    Ilkhani K, et al. The engaged role of tumor microenvironment in cancer metabolism: focusing on cancer-associated fibroblast and exosome mediators. Anticancer Agents Med Chem. 2021;21(2):254–66.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  8. 8.

    Longley D, Johnston P. Molecular mechanisms of drug resistance. J Pathol. 2005;205(2):275–92.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. 9.

    Knuefermann C, et al. HER2/PI-3K/Akt activation leads to a multidrug resistance in human breast adenocarcinoma cells. Oncogene. 2003;22(21):3205–12.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  10. 10.

    Kutanzi KR, et al. MicroRNA-mediated drug resistance in breast cancer. Clin Epigenetics. 2011;2(2):171.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  11. 11.

    Lippert TH, Ruoff H-J, Volm M. Intrinsic and acquired drug resistance in malignant tumors. The main reason for therapeutic failure. Arzneimittelforschung. 2008;58(6):261–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Florea A-M, Büsselberg D. Cisplatin as an anti-tumor drug: cellular mechanisms of activity, drug resistance and induced side effects. Cancers. 2011;3(1):1351–71.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    Wu Z-H, et al. MiRNA-21 induces epithelial to mesenchymal transition and gemcitabine resistance via the PTEN/AKT pathway in breast cancer. Tumor biology. 2016;37(6):7245–54.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  14. 14.

    Du J, et al. MicroRNA-221 targets PTEN to reduce the sensitivity of cervical cancer cells to gefitinib through the PI3K/Akt signaling pathway. Tumor Biology. 2016;37(3):3939–47.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  15. 15.

    Zheng L, et al. MiR-106b induces cell radioresistance via the PTEN/PI3K/AKT pathways and p21 in colorectal cancer. J Transl Med. 2015;13(1):252.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  16. 16.

    Ilkhani K, et al. Clinical and in silico outcomes of miR-130a-5p and miR-615–3p expression in tumor compared with non-tumor adjacent tissues of patients with BC. ACAMC. 2020. https://doi.org/10.2174/1871520620666200924105352.

    Article  Google Scholar 

  17. 17.

    Iorio MV, Croce CM. MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review. EMBO Mol Med . 2012;4(3):143–59.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  18. 18.

    Du F, et al. miR-137 alleviates doxorubicin resistance in breast cancer through inhibition of epithelial-mesenchymal transition by targeting DUSP4. Cell Death Dis. 2019;10(12):1–10.

    Google Scholar 

  19. 19.

    Jiang J, et al. MiR-128 reverses the gefitinib resistance of the lung cancer stem cells by inhibiting the c-met/PI3K/AKT pathway. Oncotarget. 2016;7(45):73188.

    PubMed  PubMed Central  Article  Google Scholar 

  20. 20.

    Safi A, et al. miRNAs modulate the dichotomy of cisplatin resistance or sensitivity in breast cancer: an update of therapeutic implications. Anticancer Agents Med Chem. 2021;21(9):1069–81.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  21. 21.

    Sun Z-Y, et al. lncRNAPVT1 targets miR-152 to enhance chemoresistance of osteosarcoma to gemcitabine through activating c-MET/PI3K/AKT pathway. Pathol Res Pract. 2019;215(3):555–63.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  22. 22.

    Wang Y, et al. miR-98-5p contributes to cisplatin resistance in epithelial ovarian cancer by suppressing miR-152 biogenesis via targeting Dicer1. Cell Death Dis. 2018;9(5):1–17.

    Google Scholar 

  23. 23.

    Li B, Xie Z, Li B. miR-152 functions as a tumor suppressor in colorectal cancer by targeting PIK3R3. Tumor Biology. 2016;37(8):10075–84.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  24. 24.

    Huang H, et al. Mir-152 inhibits cell proliferation and colony formation of CD133+ liver cancer stem cells by targeting KIT. Tumor Biol . 2015;36(2):921–8.

    Article  CAS  Google Scholar 

  25. 25.

    Pei K, et al. MicroRNA-185-5p modulates chemosensitivity of human non-small cell lung cancer to cisplatin via targeting ABCC1. Eur Rev Med Pharmacol Sci. 2016;20(22):4697–704.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Zhou CW, et al. MiR-185 inhibits tumor growth and enhances chemo-resistance via targeting SRY-related high mobility group box transcription factor 13 in non-small-cell carcinoma. Am J Trans Res. 2018;10(8):2600.

    CAS  Google Scholar 

  27. 27.

    Li Q, et al. MicroRNA-185 regulates chemotherapeutic sensitivity in gastric cancer by targeting apoptosis repressor with caspase recruitment domain. Cell Death Dis. 2014;5(4):e1197–e1197.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Ning N, et al. Curcumol inhibits the proliferation and metastasis of melanoma via the miR-152–3p/PI3K/AKT and ERK/NF-κB signaling pathways. J Cancer. 2020;11(7):1679–92.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Liu C, et al. miR-185-3p regulates the invasion and metastasis of nasopharyngeal carcinoma by targeting WNT2B in vitro. Oncol Lett. 2017;13(4):2631–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Feng B, Wang R, Chen L-B. Review of miR-200b and cancer chemosensitivity. Biomed Pharmacother. 2012;66(6):397–402.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  31. 31.

    Lehne G, et al. Challenging drug resistance in cancer therapy: review of the first nordic conference on chemoresistance in cancer treatment, October 9th and 10th, 1997. Acta Oncol. 1998;37(5):431–9.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  32. 32.

    Chen D, et al. miR-27b-3p inhibits proliferation and potentially reverses multi-chemoresistance by targeting CBLB/GRB2 in breast cancer cells. Cell Death Dis. 2018;9(2):1–13.

    Google Scholar 

  33. 33.

    Ru P, et al. Anti-miR-203 upregulates SOCS3 expression in breast cancer cells and enhances cisplatin chemosensitivity. Genes Cancer. 2011;2(7):720–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  34. 34.

    van Schooneveld E, et al. Dysregulation of microRNAs in breast cancer and their potential role as prognostic and predictive biomarkers in patient management. Breast Cancer Res. 2015;17(1):21.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  35. 35.

    Kaboli PJ, et al. MicroRNA-based therapy and breast cancer: a comprehensive review of novel therapeutic strategies from diagnosis to treatment. Pharmacol Res. 2015;97:104–21.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  36. 36.

    Maimaitiming A, et al. MicroRNA-152 inhibits cell proliferation, migration, and invasion in breast cancer. Oncol Res. 2020;28(1):13–9.

    PubMed  PubMed Central  Article  Google Scholar 

  37. 37.

    Wen Y-Y, et al. IGF-1-mediated PKM2/β-catenin/miR-152 regulatory circuit in breast cancer. Sci Rep. 2017;7(1):1–10.

    Article  CAS  Google Scholar 

  38. 38.

    Ge S, et al. Function of miR-152 as a tumor suppressor in human breast cancer by targeting PIK3CA. Oncol Res. 2017;25(8):1363.

    PubMed  PubMed Central  Article  Google Scholar 

  39. 39.

    Chen X, et al. Suppression of SPIN1-mediated PI3K–Akt pathway by miR-489 increases chemosensitivity in breast cancer. J Pathol. 2016;239(4):459–72.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  40. 40.

    Yue W, et al. Screening and identification of ovarian carcinomas related genes. Ai Zheng. 2004;23(2):141.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Katso R, et al. Cellular function of phosphoinositide 3-kinases: implications for development, immunity, homeostasis, and cancer. Annu Rev Cell Dev Biol. 2001;17(1):615–75.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  42. 42.

    Leslie NR, Biondi RM, Alessi DR. Phosphoinositide-regulated kinases and phosphoinositide phosphatases. Chem Rev. 2001;101(8):2365–80.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  43. 43.

    Fujiwara Y, et al. Inhibition of the PI3 kinase/Akt pathway enhances doxorubicin-induced apoptotic cell death in tumor cells in a p53-dependent manner. Biochem Biophys Res Commun. 2006;340(2):560–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  44. 44.

    West KA, Castillo SS, Dennis PA. Activation of the PI3K/Akt pathway and chemotherapeutic resistance. Drug Resist Updates. 2002;5(6):234–48.

    CAS  Article  Google Scholar 

  45. 45.

    Alam M, et al. Promoter methylation and loss of expression of PTEN gene in breast cancer patients from Saudi population. J Clin Exp Oncol. 2017;6:2.

    Google Scholar 

Download references

Acknowledgements

We would like to express our gratitude to personnel of medical genetic lab at department of Medical Genetics and Clinical Research Development Unit.

Funding

This study was supported by Clinical Research Development Unit (grant No.61435) of Tabriz University of Medical Sciences, Tabriz, Iran.

Author information

Affiliations

Authors

Contributions

AS designed the study. MRA wrote the first draft of the manuscript. MB, SD, KI, ZZK, and SRM. gathered the data. AS revised the manuscript for important intellectual content. MB and MRA supervised the study. All authors read and approved the final manuscript .

Corresponding authors

Correspondence to Milad Bastami or Mohammad Reza Alivand.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of Tabriz University of Medical Sciences, Tabriz, Iran with Ethics code IR.TBZMED.REC.1397.1048. The written informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1. 1.

Demographic characteristics of the breast cancer patients. 2. The correlation of miR-152-3p expression level with subgroup analysis. a The expression of miR-152-3p in patients with and without abortion history. b The miR-152-3p expression in patients ≤50 and >50 ages. c The miR-152-3p expression in patients with and without cancer family history. In both figures, LFC was used to show the expression level was normalized to U6 snRNA in the two groups. LFC means base the logarithm2 of fold change. 3. The correlation of miR-185-5p expression level with subgroup analysis. a The miR-185-5p expression in patients with and without abortion history. b The expression of miR-185-5p in patients ≤50 and >50 ages. c The miR-185-5p expression in patients with and without cancer family history. In both figures, LFC was used to show the expression level normalized to U6 snRNA in the two groups. LFC means base the logarithm2 of fold change. 4. The miR-152 target interaction depicted by Cytoscape 3.7. 5. Top 10 enriched biological processes among target genes of miR-152-3p. GO Gene Ontology, FDR false discovery rate.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Safi, A., Delgir, S., Ilkhani, K. et al. The expression of miRNA-152-3p and miRNA-185 in tumor tissues versus margin tissues of patients with chemo-treated breast cancer. BMC Res Notes 14, 234 (2021). https://doi.org/10.1186/s13104-021-05647-z

Download citation

Keywords

  • Breast cancer
  • Chemoresistance
  • microRNAs
  • miR-152
  • PI3K/AKT pathway
  • Drug resistance