Write your message
Volume 16, Issue 2 (May 2022)                   IJT 2022, 16(2): 113-124 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Roshankhah S, Ghanbari A, Salahshoor M R, Esmaeli M. Sambucus Nigra Synergizes Cisplatin to Improve Apoptosis and Metabolic Disorders, and Reduce Drug Resistance in Two Human Breast Cancer Cell Lines. IJT 2022; 16 (2) :113-124
URL: http://ijt.arakmu.ac.ir/article-1-1042-en.html
1- Department of Anatomy, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
2- Department of Anatomy, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran. , mojtaba.esmaeily@bums.ac.ir
Full-Text [PDF 2339 kb]   (523 Downloads)     |   Abstract (HTML)  (1646 Views)
Full-Text:   (649 Views)
Introduction 
Amajor concern of health organizations is the spread of breast cancer in women under 40 years old, which accounts for approximately 22.9% of the world’s population [12]. To control and reduce this type of cancer, various strategies such as radiotherapy, surgery and chemotherapy have been suggested and implemented [3]. But so far, these methods have not provided a cure for the disease. One of the strategies that have recently been considered by researchers is the use of adjuvant agents combined with conventional chemotherapy drugs.
Cisplatin (CDDP) is an example of the most common chemotherapy drug used in the treatment of various cancer tumors [4]. A major problem of using chemotherapy for various human cancers is the drug resistance that follows the treatment. Thus, the efficacy of the drug is gradually decreased due to the developed resistance while treating various cancer tumors [5]. Thus, the sensitivity and response of tumor cells to CDDP is greatly affected by the suppression or recurrence of cancer. Many studies have shown that the combination of CDDP with other chemotherapeutic agents has led to unsuccessful treatment of cancer cells and even causing increased toxicity in patients [6].
Sambucus nigra (SNA) is used in traditional medicine, and different species of this plant have been utilized for the treatment of various diseases [7, 8]. Many pharmacological studies have been conducted on this plant, demonstrating its antioxidant, anthocyanidin, antibiotic, and anti-inflammatory effects [8, 9, 10, 11, 12, 13]. In addition, many investigations have confirmed that SNA has strong anticancer activity on various cancer cells [1415]. However, not many studies have been undertaken on the toxicity and therapeutic activities of SNA on human cancer cells combined with CDDP. 
One of the strategies that seems to enhance the efficacy of CDDP is the use of natural compounds. Therefore, finding a new and suitable combination of potential compounds with CDDP is important to minimize the adverse effects of this drug on patients. According to previous studies [7, 8, 9, 10, 11, 12, 13, 1415], SNA may be a candidate agent to improve the cisplatin efficacy. For this purpose, the effective and synergistic doses of SNA and CDDP were determined and the necessary cellular and molecular techniques were performed to demonstrate the effect of the two drugs individually and concurrently.
Materials and Methods
Cell Culture: Human cell lines, MDA-MB-231 and MCF-7, were obtained from the Pasteur Institute in Tehran, Iran. Culture medium Dulbecco’s Modified Eagle’s Medium (DMEM) (Sigma-Aldrich, Germany), required for these cells contained 10% fetal bovine serum (Sigma-Aldrich), 100μg/ml streptomycin 100IU/ml penicillin, amphotericin B (Sigma, USA) and 2mM glutamine. The cells were incubated at 37°C, under 95% humidity and 5% CO2.
Drug sensitivity assays
After culturing the cell samples for 24hr, varying concentrations of CDDP and SNA (0-100μM) (Sigma-Aldrich, Germany) were added to the serum-free culture medium for 1 hour and then replaced with the usual culture medium containing FBS. The cell culture medium was drained 72hr later, and 20μL MTT (5mg/ml) was added and the incubation continued for another 4hr. The medium was removed, and 200μL DMSO was added to the culture media. Finally, the optical densities of the samples were read on an ELISA reader (Hyperion MPR4, Germany) at 570nm. The obtained values were used to plot the inhibitory concentration to produce 50% cell death (IC50) based on the dose-responses.
Determination of malondialdehyde level
To measure the malondialdehyde (MDA) levels after 24hr of incubation of the cell lines, the following cell groups were treated with varying concentrations of CDDP, SNA, and CDDP+SNA, based on the IC50 data for 1hr:
0.001% DMSO+MCF-7 cell line
10 µM SNA+MCF-7 
2.5 µM CDDP+MCF-7 
1.25 µM SNA+1.25 µM CDDP+MCF-7 
0.001% DMSO+MDA-MB-231 
10 µM SNA+MDA-MB-231 
5 µM CDDP+MDA-MB-231 
2.5 µM SNA+2.5 µM CDDP+MDA-MB-231 
After 72hr of incubation, the MDA concentrations for both cell lines were determined based on the instructions from the supplier’s kit (Kiazist, Iran). The MDA levels were measured for each of the cell samples at 532nm, using a UV-vis spectrophotometer (Jenway-6505, UK). 
Real‑time quantitative polymerase chain reaction
Initially, the RNA samples were extracted from the cells by TRIzol reagent (Invitrogen, USA) and the RNA concentrations were estimated on a spectrophotometer at 260-280 nm. The cDNA synthesis was also performed by the revert aid first strand cDNA synthesis kit (Takara Bio, Japan) based on the supplier’s protocol. The relative expressions of the genes were measured, using GAPDH primer as the internal control and Maxima SYBR Green Reaction Kit (Takara Bio, Japan) method (2-ΔΔCt). All of the primer sequences that were used in the real-time PCR are shown in Table 1


For each gene, three replications were used. Finally, the microtubes were transferred to the StepOne/Plus real time PCR device, using the following protocol. First, the gene denaturation was performed at 95°C for 10 minutes. Next, the denaturation was achieved at 95°C for 15sec, followed by annealing at 60°C and extension at 72°C for one minute each. These processes were repeated for 40 cycles [16]. Finally, the melting curves were prepared and analyzed.
Apoptosis assay by flow cytometry
The apoptosis in the cell lines, MDA-MB-231 and MCF-7, was measured with flow cytometer, using Annexin V/PI Apoptosis Assay Kit (Roche Company, Switzerland). 
Statistical analysis
We used SPSS software, v. 23 to statistically analyze the data. One way analysis of variance (ANOVA) and Tukey’s post hoc tests were utilized for the quantitative data analyses. The data were expressed as the means (±SEM), and P-values less than 0.05 were considered as being statistically significant.
Results
Cell viability

The survival rates of the cancer cell lines after exposure to CDDP and SNA alone and the combinations were determined by MTT assay. First, we determined the IC50 levels of CDDP and SNA, and the combinations for the cell lines (Figure 1).


At concentrations above 20µM SNA, the survival rate of both MDA-MB-231 and MCF-7 cell lines showed a significant decrease (Figure 1A). Accordingly, the IC50 value for SNA in both cancer cell lines, was found to be 10µM. Figure 1B shows the IC50 level for CDDP in both cancer cell lines. The IC50 for CDDP in MDA-MB-231 and MCF-7 cancer cell lines, 2.5 and 5µM were obtained, respectively. Then, we evaluated the combined effect of CDDP and SNA on the survival of the cancer cell lines. As shown in Figure 1C, the IC50 for CDDP and SNA for MDA-MB-231 and MCF-7 cell lines, were approximately 2.5µM and 1.25µM, respectively.
SNA stimulated lipid peroxidation
The data from this study revealed that the level of MDA in various groups treated with SNA and CDDP had a meaningful increase compared to the control group (Figure 2).

However, the level of MDA in MDA MB-231 cell lines was higher and linked to the MCF-7 cell lines. Also, the levels of MDA in both cell lines treated with combined SNA cand CDDP were higher than those treated with either CDDP or SNA alone. Also, this group showed significant differences in other parameters in both cell lines compared to other groups (P <0.05).
The impression of SNA on ATP binding cassette subfamily gene B member 4 (ABCB4)
We observed that the expression of this gene in both cell lines was predominantly higher in the treated groups compared to the untreated groups (Figure 3A).


In addition, compared with the CDDP-treated group in both cell lines, the expression of ABCB4 decreased in both cell lines when the combined SNA and CDDP was applied. Also, the groups treated with SNA+CDDP in both cell lines significantly different from other groups with respect to the above parameters (P<0.05).
Apoptosis genes
The expression of the p53 gene in both cell lines showed overexpression (Figure 3B). The increased expression of the p53 gene in the MCF-7 cell line was higher than that of the MDA-MB-231 cell line. However, the p53 gene expression in the groups treated with SNA+CDDP showed higher values compared to the groups treated with either CDDP or SNA alone (p<0.05). The Bax gene expression was higher than the Bcl-2 gene in both cell lines (Figures 3C & 3D). However, the Bax gene expression was higher in SNA+CDDP-treated groups in both cell lines than those in other groups. However, the expression of this gene decreased in the CDDP-treated group compared to that in the SNA+CDDP-treated groups (P<0.05). Also, the expression of the Bax gene in both cell lines treated with combined SNA and CDDP was notably different from other groups (P<0.05). On the other hand, the expression of the Bcl-2 gene in the group treated with SNA+CDDP showed a lower expression than in other groups (P<0.05). However, the expression of the Bcl-2 gene in the SNA-treated group showed a higher expression compared to other groups (P<0.05).
Further, we determined the expression ratio of Bax/Bcl-2 genes (Figure 3E). The highest values for Bax/Bcl-2 ratios were observed in SNA+CDDP-treated groups in both cancer cell lines. The increased gene expression in SNA+CDDP-treated groups for both cell lines was associated to their increased apoptosis (P<0.05). The expression of caspases 3 and 8 genes in both cancer cell lines increased significantly for the SNA+CDDP-treated groups (P<0.05) (Figures 3F & 3G). On the other hand, the expression of these genes in the MCF-7 cell line was higher compared to that for MDA‑MB-231 cancer cell line. However, the expressions of these genes were lower in the group treated with either SNA or CDDP alone compared to the groups treated with combined SNA and CDDP (P<0.05).
Monocarboxylate transporters 1 and 4 (MCT1 & MCT4) genes
Significant increases in the expression of MCT1 and MCT4 genes were observed for both cancer cell lines (Figures 3H & 3I). However, the expression of MCT1 genes in the MDA‑MB-231 cancer cell line was much higher than that of MCF-7. However, the expression of the MCT1 gene in both cancer cell lines when treated with SNA+CDDP was lower than those of all other groups (P<0.05). The expression of the MCT4 gene was the opposite of that for MCT1, i.e., the expression of the MCF-7 gene was higher than that of MDA‑MB-231 cancer cell line. The similarity in the gene expressions for MCT1 and MCT4 when treated with SNA+CDDP were lower than in other treated and untreated groups (P<0.05). Therefore, the combined SNA and CDDP had affected their metabolic pathways more than those observed in other groups.
Apoptosis assessment
The data from the flow cytometry indicated that cells, either treated or untreated with media containing different compounds, were grouped into four quarters (Q1-Q4). The percentages of the intact, early or late apoptotic/necrotic, and completely necrotic cells are illustrated as histograms for MCF-7 (Figure 4A) and MDA MB-231 cells (Figure 4B), respectively.

The results showed that SNA, similarly to CDDP, had apoptotic effects on the cell lines. The two dyes, PI and Annexin V used for the flow cytometry, showed that the predominant cause of cell death in both MCF-7 and MDAMB-231 cell lines that were treated with SNA, were related to necrosis or early apoptosis (Figures 4A & B). While treatment of both cell lines with CDDP had the highest percentage of late apoptosis for MCF-7 and necrosis for MDAMB-231 cell lines, respectively. In both cell lines treated with SNA+CDDP, the most common types of cell death were early apoptosis and cell necrosis (Figures 4A, B). 
Discussion
Based on the findings, this study demonstrated that SNA suppressed the growth of human cancer cell lines and induced cellular apoptosis, with the effect being similar to that of chemotherapy drug, cisplatin. Also, the therapeutic effects of SNA were demonstrated on both estrogen positive and negative breast cancer cells (MDA-MB-231). The SNA agent exerted its chemotherapeutic properties in a dose-dependent manner. Also, based on the IC50 data for SNA and cisplatin, we found that the combined mixture had a synergistic effect on the cisplatin performance. In terms of the mechanism of SNA action, the results suggest that SNA synergizes the cisplatin’s effect on human breast cancer cells, by reducing their drug resistance and metabolic processes.
The Effect of SNA and CDDP on Genes Involved in Resistance Pathways: A known reason that a variety of chemotherapy drugs, especially CDDP, cause drug resistance in cancer cells is the expression of ATP binding cassette (ABC) transporter genes [17]. In this context, various plant-derived agents and extracts have been shown to inhibit the expression of these genes [18]. Hence, the tendency to use natural compounds together with chemotherapy drugs that are suggested often for cancer research [1920]. 
There has been ample research on SNA in support of its antineoplastic properties on a variety of cancer cells [1415]. The results from the current study also confirmed the effect of SNA combined with CDDP on the two cell lines (MCF‑7 & MDA‑MB‑231). Specifically, they inhibited the ABCB4 gene expression, which is the cause of drug resistance. Other studies have also shown that the increased expression of ABCB4 gene in cells treated with other chemotherapeutic drugs has led to increased drug resistance presumably regulated through the methylation of promoters [21]. In addition, the regulation of ABCB4 gene expression is also influenced by chemotherapy drugs [21]. 
The Effect of SNA and CDDP on Cell Death: A major mechanism of action of chemotherapeutic drugs is the induction of apoptosis in various cancer cells [22]. Therefore, examining the signaling pathways responsible for apoptosis and understanding the associated events are the necessary steps in the investigation of new and potential anti-cancer compounds [23]. Evidently, SNA exerts its effects on such molecules as p53, Bcl-2, and Bax in cancer cells that are involved in the regulation of apoptosis through interaction with caspases 3 and 8, and other associated genes [2425].
Studies have reported that the reduction in p53 expression leads to a rise in the growth of cancer cells [26, 27]. In the current study; however, the expression of the p53 gene was increased in both cell lines. This is likely to be due to increased oxidative stress effect of SNA on the cells. Other studies have also reported that the Bcl-2 family and pro-apoptotic proteins, such as Bax, function by altering the permeability of mitochondrial membrane by caspases 3, 8 and 9, the activation of which induces apoptosis secondary to the fatal damages [2829]. Therefore, it may be suggested that the mitochondrial pathway for apoptosis is applied due to the potentially therapeutic effect of SNA on human breast cancer cells. Results from a previous study that evaluated the same effect of SNA are consistent with our findings [14].
The Effect of SNA and CDDP Agents on Genes Involved in Metabolic Pathways: One of the roles of monocarboxylate transporters (MCTs) in cancer cells is to maintain the homeostasis, which preserves the glycolytic and acid-resistant phenotypes [30, 31]. This is an essential function responsible for the growth of malignant cells. The most common isoforms of MCT found in cancer cells include monocarboxylate transporters 1 and 4 (MCT1, MCT4) [3233, 34, 3536]. However, these cell lines showed significant metabolic changes, through the expression of the MCT1 and MCT4 genes, associated with SNA and CDDP treatments. The reason for the reduced gene expression may be explained by results from studies that investigated the flavonoids compounds found in SNA and their ability to inhibit the expression of cancer genes [3738]. It has been confirmed that estrogen-negative receptors in human breast cancer cells, such as MDA‑MB-231 are more aggressive and lead to a worse prognosis than the estrogen-positive cells, such as MCF-7. Therefore, we may assume that the transfer of SNA, CDDP, and their combination in MDA‑MB-231 cell line occurs through channels located in the plasma and cytosolic membranes, while in the MCF-7 cell line, it occurs through channels in the plasma membrane [39].
The Effect of SNA and CDDP Agents on Malondialdehyde (MDA) Production: Oxidative stress induces apoptosis in tumor cells and is considered an effective mechanism for the treatment of cancer cells [40, 41]. Since MDA results from lipid peroxidation, the use of SNA, CDDP, and the combination against tumor cell lines may lead to a significant rise in the oxidative stress around them. Our data also suggest that the highest rate of cell membrane damage is directly related to the MDA level, as measured post treatment. 
Finally, the results of the flow cytometry clearly demonstrated that apoptosis occurred in the treated cancer cell lines, as compared to those seen in the controls. Another study on an ovarian cancer cell line has shown that SNA is likely to promote cellular apoptosis through DNA fragmentation [14]. These findings provide further mechanistic support for our results, indicating that SNA induces apoptosis rather than necrosis.
Conclusions
The outcomes of this study propose that SNA is able to cause apoptosis in the two human cancer cell lines by disrupting the various metabolic pathways. In addition, SNA may increase the permeability of cancer cells to chemotherapy drugs, such as CDDP and promote better therapeutic outcomes in the cells via opening membrane channels. Further, SNA is likely to function as an anti-proliferative agent, especially in estrogen-negative cells, inhibiting the drug resistance effectively in various human cancer cells. Finally, it may be hypothesized that this herbal compound may be used as a therapeutic adjunct to further enhance the effects of chemotherapy drugs against resistant breast cancer cells.

Ethical Considerations
Compliance with ethical guidelines

The protocol for conducting this in-vitro research was reviewed and approved by the Office of Vice Chancellor for Research, Kermanshah University of Medical Sciences, Kermanshah (IR.KUMS.REC.1399.1075).

Funding
Funding for this research was provided by Kermanshah University of Medical Sciences, Kermanshah.

Author's contributions
SR, and AG designed the experiments. ME performed the experiments and collected the data. MRS and AG performed the analyses and interpreted the results. SR supervised, directed and managed the study. All authors reviewed the various drafts of the manuscript and approved of its final version prior to submission to this journal for publication.

Conflict of interest
The authors declared no conflict of interests.

Acknowledgments
The authors express their appreciation to the Vice Chancellor for Research, at Kermanshah University of Medical Sciences for the approval of the study protocol and provision of funds in support of conducting this research project.

References
  1. Ribnikar D, Ribeiro JM, Pinto D, Sousa B, Pinto AC, Gomes E, et al. Breast cancer under age 40: A different approach. Curr Treat Options Oncol. 2015; 16(4):16. [DOI:10.1007/s11864-015-0334-8] [PMID]
  2. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010; 127(12):2893-917. [DOI:10.1002/ijc.25516] [PMID]
  3. Miller KD, Siegel RL, Lin CC, Mariotto AB, Kramer JL, Rowland JH, et al. Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin. 2016; 66(4):271-89. [DOI:10.3322/caac.21349] [PMID]
  4. Monneret C. Platinum anticancer drugs. From serendipity to rational design. Ann Pharm Fr. 2011; 69(6):286-95. [DOI:10.1016/j.pharma.2011.10.001] [PMID]
  5. Shen DW, Pouliot LM, Hall MD, Gottesman MM. Cisplatin resistance: A cellular self-defense mechanism resulting from multiple epigenetic and genetic changes. Pharmacol Rev. 2012; 64(3):706-21. [DOI:10.1124/pr.111.005637] [PMID] [PMCID]
  6. Holohan C, Van Schaeybroeck S, Longley DB, Johnston PG. Cancer drug resistance: An evolving paradigm. Nat Rev Cancer. 2013; 13(10):714-26. [DOI:10.1038/nrc3599] [PMID]
  7. Ebrahimzadeh M, Mahmoudi M, Saiednia S, Pourmorad F, Salimi E. [Anti-inflammatory and anti-nociceptive properties of fractionated extracts in different parts of Sambucus ebulus (Persian)]. J Mazandaran Univ Med Sci. 2006; 16(54):35-47. http://jmums.mazums.ac.ir/article-1-132-en.html
  8. Ebrahimzadeh MA, Nabavi SF, Nabavi SM. Antioxidant activities of methanol extract of Sambucus ebulus L. flower. Pak J Biol Sci. 2009; 12(5):447-50. [DOI:10.3923/pjbs.2009.447.450] [PMID]
  9. Ebrahimzadeh MA, Enayatifard R, Khalili M, Ghaffarloo M, Saeedi M, Yazdani Charati J. Correlation between sun protection factor and antioxidant activity, phenol and flavonoid contents of some medicinal plants. Iran J Pharm Res. 2014; 13(3):1041-7. [PMID]
  10. Mikulic-Petkovsek M, Schmitzer V, Slatnar A, Todorovic B, Veberic R, Stampar F, et al. Investigation of anthocyanin profile of four elderberry species and interspecific hybrids. J Agric Food Chem. 2014; 62(24):5573-80. [DOI:10.1021/jf5011947] [PMID]
  11. Ding M, Feng R, Wang SY, Bowman L, Lu Y, Qian Y, et al. Cyanidin-3-glucoside, a natural product derived from blackberry, exhibits chemopreventive and chemotherapeutic activity. J Biol Chem. 2006; 281(25):17359-68. [DOI:10.1074/jbc.M600861200] [PMID]
  12. Karami M, Ale-Nabi SS, Nosrati A, Naimifar A. The protective effect of Sambucus ebulus against lung toxicity induced by gamma irradiation in mice. Pharm Biomed Res. 2015; 1(1):48-54. [DOI:10.18869/acadpub.pbr.1.1.48]
  13. Lak E, Ranjbar R, Najafzadeh H,  Morovvati H, Khaksary M. Protective effect of sambucus elbus extract on teratogenicity of albendazole. Middle-East J Sci Res. 2011; 8(3):606-10. https://www.idosi.org/mejsr/mejsr8(3)11/12.pdf
  14. Chowdhury SR, Ray U, Chatterjee BP, Roy SS. Targeted apoptosis in ovarian cancer cells through mitochondrial dysfunction in response to Sambucus nigra agglutinin. Cell Death Dis. 2017; 8(5):e2762. [DOI:10.1038/cddis.2017.77] [PMID] [PMCID]
  15. Olejnik A, Olkowicz M, Kowalska K, Rychlik J, Dembczyński R, Myszka K, et al. Gastrointestinal digested Sambucus nigra L. fruit extract protects in vitro cultured human colon cells against oxidative stress. Food Chem. 2016; 197(Pt A):648-57. [DOI:10.1016/j.foodchem.2015.11.017] [PMID]
  16. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001; 25(4):402-8. [DOI:10.1006/meth.2001.1262] [PMID]
  17. Chen Z, Shi T, Zhang L, Zhu P, Deng M, Huang C, et al. Mammalian drug efflux transporters of the ATP binding cassette (ABC) family in multidrug resistance: A review of the past decade. Cancer Lett. 2016; 370(1):153-64. [DOI:10.1016/j.canlet.2015.10.010] [PMID]
  18. Li W, Zhang H, Assaraf YG, Zhao K, Xu X, Xie J, et al. Overcoming ABC transporter-mediated multidrug resistance: Molecular mechanisms and novel therapeutic drug strategies. Drug Resist Updat. 2016; 27:14-29. [DOI:10.1016/j.drup.2016.05.001] [PMID]
  19. Ye MX, Zhao YL, Li Y, Miao Q, Li ZK, Ren XL, et al. Curcumin reverses cis-platin resistance and promotes human lung adenocarcinoma A549/DDP cell apoptosis through HIF-1α and caspase-3 mechanisms. Phytomedicine. 2012; 19(8-9):779-87. [DOI:10.1016/j.phymed.2012.03.005] [PMID]
  20. Yoshida K, Toden S, Ravindranathan P, Han H, Goel A. Curcumin sensitizes pancreatic cancer cells to gemcitabine by attenuating PRC2 subunit EZH2, and the lncRNA PVT1 expression. Carcinogenesis. 2017; 38(10):1036-46. [DOI:10.1093/carcin/bgx065] [PMID] [PMCID]
  21. Hontecillas-Prieto L, Garcia-Dominguez DJ, Vaca DP, Garcia-Mejias R, Marcilla D, Ramirez-Villar GL, et al. Multidrug resistance transporter profile reveals MDR3 as a marker for stratification of blastemal Wilms tumour patients. Oncotarget. 2017; 8(7):11173-86. [DOI:10.18632/oncotarget.14491] [PMID] [PMCID]
  22. Green DR, Kroemer G. The pathophysiology of mitochondrial cell death. Science. 2004; 305(5684):626-9. [DOI:10.1126/science.1099320] [PMID]
  23. Hengartner MO. The biochemistry of apoptosis. Nature. 2000; 407(6805):770-6. [DOI:10.1038/35037710] [PMID]
  24. Cheah YH, Azimahtol HL, Abdullah NR. Xanthorrhizol exhibits antiproliferative activity on MCF-7 breast cancer cells via apoptosis induction.Anticancer Res. 2006; 26(6B):4527-34. [PMID]
  25. Gao Z, Shao Y, Jiang X. Essential roles of the Bcl-2 family of proteins in caspase-2-induced apoptosis.J Biol Chem. 2005; 280(46):38271-5. [DOI:10.1074/jbc.M506488200] [PMID]
  26. Feng Z, Hu W, Rajagopal G, Levine AJ. The tumor suppressor p53: Cancer and aging. Cell cycle. 2008; 7(7):842-7.  [PMID]
  27. Haldar S, Negrini M, Monne M, Sabbioni S, Croce CM. Down-regulation of bcl-2 by p53 in breast cancer cells. Cancer Res. 1994; 54(8):2095-7. [PMID]
  28. Krishna S, Low IC, Pervaiz S. Regulation of mitochondrial metabolism: Yet another facet in the biology of the oncoprotein Bcl-2. Biochem J. 2011; 435(3):545-51. [DOI:10.1042/BJ20101996] [PMID]
  29. Slee EA, Harte MT, Kluck RM, Wolf BB, Casiano CA, Newmeyer DD, et al. Ordering the cytochrome c-initiated caspase cascade: Hierarchical activation of caspases-2,-3,-6,-7,-8, and-10 in a caspase-9-dependent manner. J Cell Biol. 1999; 144(2):281-92. [DOI:10.1083/jcb.144.2.281] [PMID] [PMCID]
  30. Dhup S, Dadhich RK, Porporato PE, Sonveaux P. Multiple biological activities of lactic acid in cancer: Influences on tumor growth, angiogenesis and metastasis. Curr Pharm Des. 2012; 18(10):1319-30. [DOI:10.2174/138161212799504902] [PMID]
  31. Corbet C, Draoui N, Polet F, Pinto A, Drozak X, Riant O, F, et al. The SIRT1/HIF2α axis drives reductive glutamine metabolism under chronic acidosis and alters tumor response to therapy.  Cancer Res. 2014; 74(19):5507-19. [DOI:10.1158/0008-5472.CAN-14-0705] [PMID]
  32. Sonveaux P, Végran F, Schroeder T, Wergin MC, Verrax J, Rabbani ZN, et al. Targeting lactate-fueled respiration selectively kills hypoxic tumor cells in mice. J Clin Invest. 2008; 118(12):3930-42. [DOI:10.1172/JCI36843] [PMID] [PMCID]
  33. Kennedy KM, Dewhirst MW. Tumor metabolism of lactate: The influence and therapeutic potential for MCT and CD147 regulation. Future Oncol. 2010; 6(1):127-48.  [PMID] [PMCID]
  34. Pinheiro C, Longatto-Filho A, Azevedo-Silva J, Casal M, Schmitt FC, Baltazar F. Role of monocarboxylate transporters in human cancers: State of the art. J Bioenerg Biomembr. 2012; 44(1):127-39. [DOI:10.1007/s10863-012-9428-1] [PMID]
  35. Miranda-Gonçalves V, Honavar M, Pinheiro C, Martinho O, Pires MM, Pinheiro C, et al. Monocarboxylate transporters (MCTs) in gliomas: Expression and exploitation as therapeutic targets. Neuro Oncol. 2013; 15(2):172-88. [DOI:10.1093/neuonc/nos298] [PMID] [PMCID]
  36. Afonso J, Santos LL, Miranda-Gonçalves V, Morais A, Amaro T, Longatto-Filho A, et al. CD147 and MCT1potential partners in bladder cancer aggressiveness and cisplatin resistance. Mol Carcinog. 2015; 54(11):1451-66. [DOI:10.1002/mc.22222] [PMID]
  37. Jones RS, Parker MD, Morris ME. Quercetin, morin, luteolin, and phloretin are dietary flavonoid inhibitors of monocarboxylate transporter 6. Mol Pharm. 2017; 14(9):2930-6. [DOI:10.1021/acs.molpharmaceut.7b00264] [PMID] [PMCID]
  38. Shim CK, Cheon EP, Kang KW, Seo KS, Han HK. Inhibition effect of flavonoids on monocarboxylate transporter 1 (MCT1) in Caco2 cells. J Pharm Pharmacol. 2007; 59(11):1515-9. [DOI:10.1211/jpp.59.11.0008] [PMID]
  39. Pinheiro C, Albergaria A, Paredes J, Sousa B, Dufloth R, Vieira D, et al. Monocarboxylate transporter 1 is upregulated in basallike breast carcinoma. Histopathology. 2010; 56(7):860-7. [DOI:10.1111/j.1365-2559.2010.03560.x] [PMID]
  40. Buttke TM, Sandstrom PA. Oxidative stress as a mediator of apoptosis. Immunol Today. 1994; 15(1):7-10. [DOI:10.1016/0167-5699(94)90018-3]
  41. Chandra J, Samali A, Orrenius S. Triggering and modulation of apoptosis by oxidative stress. Free Radic Biol Med. 2000; 29(3-4):323-33. [DOI:10.1016/S0891-5849(00)00302-6]
 
Type of Study: Research | Subject: Special

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Toxicology

Designed & Developed by : Yektaweb