Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 09 March 2023
Sec. Molecular and Cellular Oncology
This article is part of the Research Topic Lipids, Lipid Oxidation, and Cancer: From Biology to Therapeutics View all 7 articles

The increased antioxidant action of HDL is independent of HDL cholesterol plasma levels in triple-negative breast cancer

Amarilis de Lima CamposAmarilis de Lima Campos1Maria Isabela Bloise Alves Caldas Sawada,,Maria Isabela Bloise Alves Caldas Sawada1,2,3Monique Ftima de Mello SantanaMonique Fátima de Mello Santana4Rodrigo Tallada IborraRodrigo Tallada Iborra5Sayonara Ivana Santos de AssisSayonara Ivana Santos de Assis4Mozania Reis,Mozania Reis1,6Jacira Xavier de Carvalho,Jacira Xavier de Carvalho1,6Luiz Henrique GebrimLuiz Henrique Gebrim2Marisa Passarelli,*Marisa Passarelli1,4*
  • 1Programa de Pós-Graduação em Medicina, Universidade Nove de Julho (UNINOVE), São Paulo, Brazil
  • 2Centro de Referência da Saúde da Mulher (Hospital Pérola Byington), São Paulo, Brazil
  • 3Hospital de Força Aérea de São Paulo, São Paulo, Brazil
  • 4Laboratório de Lípides (LIM10), Hospital das Clínicas (HCFMUSP) da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
  • 5Physical Education Program, Universidade São Judas Tadeu, São Paulo, São Paulo, Brazil
  • 6Unidade Básica de Saúde Dra. Ilza Weltman Hutzler, São Paulo, Brazil

Introduction: The association between high-density lipoprotein cholesterol (HDLc) with the incidence and progression of breast cancer (BC) is controversial. HDL removes excess cholesterol from cells and acts as an antioxidant and anti-inflammatory. BC is a heterogeneous disease, and its molecular classification is important in the prediction of clinical and therapeutic evolution. Triple-negative breast cancer (TNBC) presents higher malignancy, lower therapeutic response, and survival rate. In the present investigation, the composition and antioxidant activity of isolated HDL was assessed in women with TNBC compared to controls.

Methods: Twenty-seven women with a recent diagnosis of TNBC, without prior treatment, and 27 healthy women (control group) paired by age and body mass index (BMI) were included in the study. HDL and low-density lipoprotein (LDL) were isolated from plasma by discontinuous density gradient ultracentrifugation. Plasma lipid profile and HDL composition (total cholesterol, TC; triglycerides, TG; HDLc; phospholipids, PL) were determined by enzymatic colorimetric methods. ApoB and apo A-I were quantified by immunoturbidimetry. The antioxidant activity of HDL was determined by measuring the lag time phase for LDL oxidation and the maximal rate of conjugated dienes formation in LDL incubated with copper sulfate solution. The absorbance (234 nm) was monitored at 37°C, for 4 h, at 3 min intervals.

Results: The control group was similar to the TNBC concerning menopausal status, concentrations, and ratios of plasma lipids. The composition of the HDL particle in TC, TG, PL, and apo A-I was also similar between the groups. The ability of HDL to retard LDL oxidation was 22% greater in the TNBC group as compared to the control and positively correlated with apoA-I in HDL. Moreover, the antioxidant activity of HDL was greater in the advanced stages of TNBC (stages III and IV) compared to the control group. The maximum rate of formation of conjugated dienes was similar between groups and the clinical stages of the disease.

Discussion: The results highlight the role of HDL as an antioxidant defense in TNBC independently of HDLc plasma levels. The improved antioxidant activity of HDL, reflected by retardation in LDL oxidation, could contribute to limiting oxidative and inflammatory stress in advanced stages of TNBC.

1 Introduction

Breast cancer (BC) is the most commonly diagnosed malignant tumor in women and contributes to 69% of deaths associated with cancer. Considering its heterogeneous nature, the histological classification of BC based on the expression of receptors for estrogen, progesterone, and HER-2 helps to predict therapy and prognosis (1). Triple-negative BC (TNBC) is negative for hormone receptors and HER2 accounting for about 10-20% of all BC. It differs from other types of invasive cancer by being more prevalent in women younger than age 40, growing and spreading faster with fewer oncological therapeutic options, and tending to have a worse prognosis and survival (2).

Alterations in plasma lipid and lipoprotein profiles are contributors to BC, considering the role of lipids, particularly cholesterol, in tumor proliferation and metastasis (3, 4). Solid tumors accumulate cholesterol by increasing its synthesis and the uptake of native and modified forms of low-density lipoproteins (LDL). In TNBC, plasma lipids are reported as increased, probably helping to supply lipids to the tumor and supporting its aggressiveness. Potential lipid biomarkers (ceramides, phosphatidylcholine, lysophosphatidylcholine, and diacylglycerol) were detected in TNBC (5), reinforcing the change in lipid profile in this more aggressive tumor (2).

On the other hand, high-density lipoproteins (HDL) are considered protectors since they remove excess cholesterol from cells and minimize oxidation and inflammation (6). Nonetheless, the association of HDL cholesterol (HDLc) with BC development and progression is still controversial, largely due to the concomitant presence of metabolic comorbidities that influence the levels of HDLc in plasma, ongoing oncological therapies and intrinsic differences among hormone-sensitive tumors, and TNBC (7). Moreover, it is conceivable that, at the resemblance of the prediction of cardiovascular disease, HDLc measurement utilized as a protection metric is not sufficiently discriminating, considering the interplay of functions promoted by HDL. Markers of lipid peroxidation are enhanced in BC pointing to a role in HDL dysfunction (8). In the present investigation, the composition and the antioxidant role of HDL particles isolated from TNBC women´s plasma were measured in comparison to healthy control women.

2 Material and methods

Two-hundred and one women newly diagnosed with BC between 18 and 80 years old in stages I to IV of the disease, not receiving any treatment were recruited at Hospital Pérola Byington. The molecular classification of tumors was performed according to the American College of Pathologists (9, 10) in breast samples obtained by percutaneous biopsy or surgery submitted to immunohistochemistry. From this large casuistic, a convenience sample of TNBC was obtained corresponding to the 16% frequency of TNBC in population. Then, 27 TNBC women were included in the protocol. Twenty-seven health women paired by age and body mass index (BMI) were recruited at Unidade Básica de Saúde Dra. Ilza Weltman Hutzler and included as a control group. Women with diabetes mellitus, autoimmune diseases, hypothyroidism, chronic kidney disease (estimated glomerular filtration rate < 60mL/min/1.73m2), smokers, alcoholics, in use of antioxidants, anti-inflammatory drugs, hormone replacement therapy or contraceptives, and with a previous history of cancer, and in situ breast disease or actual pregnancy were not included in the study. All participants have signed an informed written consent approved by institutional Ethics Committees in accordance with the Declaration of Helsinki.

3 Isolation of HDL from TNBC and control women

Blood was obtained by a venous puncture after 12h fasting and the plasma was immediately isolated by refrigerated centrifugation (3,000 rpm, 4°C, 15 min). HDL (D = 1.063-1.21 g/mL) was isolated from BC and control women´s plasma by discontinuous density ultracentrifugation and immediately frozen at -80°C in a 5% saccharose solution. Plasma and HDL composition in lipids [total cholesterol (TC), triglycerides (TG), and phospholipids (PL)] was determined by enzymatic techniques. ApoB (plasma) and apo A-I (isolated HDL) were quantified by immunoturbidimetry (Randox Lab. Ltd. Crumlin, UK). HDLc plasma levels were determined after precipitation of apoB in plasma treated with dextran sulfate/magnesium chloride. Low-density lipoprotein cholesterol (LDLc) was determined by the Friedewald formula (11). Isolated HDL was extensively dialyzed against phosphate buffer saline (PBS) without EDTA immediately prior to the experiments of LDL oxidation.

3.1 Isolation of LDL from a healthy donor

LDL (D = 1.019-1.063 g/mL) was obtained by sequential ultracentrifugation of plasma from a unique healthy volunteer and was purified by discontinuous density ultracentrifugation. After dialysis against PBS with EDTA and sterilization, protein quantification was performed by the Lowry technique (12) and LDL kept at 4°C was utilized for experiments within 2 weeks. Samples were dialyzed against PBS without EDTA immediately before the experiments of LDL oxidation.

3.2 Measurement of cooper-induced LDL oxidation in the presence of HDL isolated from TNBC and control women

The antioxidant role of HDL was accessed by determining the lag time phase for LDL oxidation and the maximal rate of conjugated dienes formation induced by copper sulfate (CuSO4) as previously described (13). Briefly, 40 µg of LDL protein (diluted in 500 µL of water) obtained from a single donor were incubated with 1mL of 10 μmol/L CuSO4 alone (final concentration) as a control incubation or in the presence of 80 µg of HDL protein from control or TNBC women at 37 °C. The absorbance at 234 nm was continuously monitored in 3 min intervals for 4 h. The time (min) of LDL resistance against oxidation (lag time phase) was calculated between the beginning of the reaction and the time interval with the extrapolated line of the propagation phase, and the maximum ratio of formation of conjugated dienes, determined by the absorbance maximum/minute (Δ absorbance/Δ min between the initiation phase and the maximal absorbance phase). The inter-assay coefficient of variation was 7.8%.

4 Statistical analysis

Non-parametric data were represented by the median with lower and upper quartiles The Mann-Whitney test was used for comparisons between two groups, and the Kruskal-Wallis test with the Bonferroni posttest for more than two groups. Correlation analysis was done by the Spearman test. A value of P < 0.05 was considered statistically significant. IBM® SPSS Statistics (version 27.0), GraphPad Prisma (version 5.04) for Windows, and Microsoft® Excel for Mac (version 16.52) software were used for data tabulation and analysis.

5 Results

Age, BMI, and menopausal status were similar between control and TNBC groups. Moreover, no differences were observed in plasma lipid profile and lipid ratios between groups (Table 1).

TABLE 1
www.frontiersin.org

Table 1 Age, BMI, menopausal status, and plasma lipid profile in control and TNBC women.

Women with BC were divided according to the clinical stages of the disease, as localized (stages I and II) and advanced disease (stages III and IV). There was no difference in age and BMI and plasma lipids by comparing these groups with the control group (Table 2).

TABLE 2
www.frontiersin.org

Table 2 Age, BMI, and plasma lipid profile in control and TNBC women categorized according to the clinical stage of the disease.

The composition of the HDL particle in TC, TG, PL, and apo A-I was similar between the control and BC groups (Table 3) and among clinical stages of BC (data not shown).

TABLE 3
www.frontiersin.org

Table 3 Composition of HDL in lipids and apoA-I in control and TNBC women.

As shown in Figure 1A, the lag time phase for the LDL oxidation was 22% higher in the presence of HDL from TNBC women as compared to HDL from control subjects, reflecting a better antioxidant of HDL in TNBC. The lag time phase for LDL oxidation was similar between localized (stages I and II) and advanced disease (stages III and IV) but was higher in advanced disease as compared to the control group (Figure 1B).

FIGURE 1
www.frontiersin.org

Figure 1 Lag time phase for CuSO4-induced LDL oxidation in the presence of HDL isolated from control and TNBC women. The lag time phase for LDL oxidation was determined by incubating LDL (from a unique plasma donor) with CuSO4 in the presence of HDL from control (n = 27) and TNBC (n = 27) women. Absorbance was monitored at 234 nm, every 3 min for 4h Comparisons were done between control and TNBC groups by the Mann-Whitney test (A), and among control and the stages of BC (B) by the Kruskal-Wallis test with the Bonferroni posttest.

The maximal rate of conjugated dienes formation was similar between control and TNBC groups and among control and BC cases according to the stage of the disease (Figures 2A, B).

FIGURE 2
www.frontiersin.org

Figure 2 Maximal rate of conjugated dienes formation in CuSO4-induced LDL oxidation in the presence of HDL isolated from control and TNBC women. The maximal rate of LDL oxidation was determined by incubating LDL (from a unique plasma donor) with CuSO4 in the presence of HDL from control (n = 27) and TNBC (n = 27) women. Absorbance was monitored at 234 nm, every 3 min for 4 h Comparisons were done between control and TNBC groups by the Mann-Whitney test (A), and among control and the stages of BC (B) by the Kruskal-Wallis test with the Bonferroni posttest.

The antioxidant role of HDL inferred by the lag time phase for LDL oxidation positively correlated with the concentration of apo A-I in the HDL particle (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3 Correlation between apoA-I in HDL and the lag time phase for LDL oxidation in TNBC women. The antioxidant role of HDL isolated from TNBC women (n =27) was determined by the lag time phase for LDL oxidation induced by CuSO4. The correlation was done by the Spearman test.

6 Discussion

In the present investigation, it was demonstrated that the antioxidant capacity of the HDL particle isolated from women with TNBC is greater when compared to that of control women, particularly in the more advanced stages of the disease. This event was observed despite similar concentration of HDLc, plasma lipids, and apo A-I between groups.

Alterations in the plasma lipid and lipoprotein profile are identified as independent contributors to the risk of BC in women, regardless of menopausal status (14). Findings from several major clinical studies suggest a direct association between LDLc and BC risk and an inverse relationship between circulating HDLc and the risk of developing BC. However, these results have not been replicated in some epidemiological studies (15). Despite the lack of epidemiological evidence, the growth of benign and malignant tumor tissues has been associated with changes in plasma concentrations of lipids and lipoproteins in patients with BC (16). Several studies have found that many cancer-causing signaling pathways affect cholesterol production, meaning that cholesterol plays a role in tumor formation (4).

Although small, the casuistry of the present study showed no difference in the profile of plasma lipids, particularly HDLc, and lipid ratios between women in the control and BC groups, unlike what has been described in other studies (15, 16). Women in both groups were also similar in terms of age, BMI, and menopausal status. Even when subdivided according to the clinical stage of the disease, no differences were observed in anthropometric characteristics, menopausal status, and plasma lipids. However, components of the metabolic syndrome were not considered in this study due to the logistics of attendance and collection of samples from the participants.

HDL exerts several actions that appear to be protective against the development of many non-degenerative chronic diseases, although their association specifically with the prevention of BC is much discussed (17). This is due to the fact that the reduction of HDLc is associated with risk factors for cancer, such as menopause, diabetes mellitus, obesity, and insulin resistance (1719).

Reduced HDLc concentrations are associated with decreased overall survival, worse prognosis and survival for TNBC (8, 20, 21), and higher incidence of BC in postmenopausal women (22). A follow-up period of 11.5 years found an inverse association between HDLc and BC risk (23), and retrospectively collected clinical data showed that HDLc reduction had a significant association with the overall risk of BC (7). Furthermore, low HDLc has been associated with more aggressive tumor characteristics (16) although HDLc concentrations lower than 50 mg/dL were modestly associated with BC risk (24). There is also evidence that the elevation of HDLc, due to genetic or drug causes, is associated with a higher risk of BC (25).

It is important to consider that the metric for inferring protection conferred by HDL - by determining the cholesterol content in the particle (HDLc) - seems to fail in predicting risk, similar to what happens for atherosclerotic macrovascular disease. This event lies in the fact that HDLc does not invariably reflect the functionality of HDL, in particular its antioxidant, anti-inflammatory, and cellular cholesterol removal activities. The controversies regarding the association between HDL and BC also reside in the face of the different studied populations and sample sizes. Disease duration, histological and molecular types, as well as influences imposed by the presence of metabolic comorbidities linked to the risk of breast tumors, oncological therapies, and changes in lifestyle, can also add bias to the analyses (26).

The HDL particle composition in CT, TG, PL, and apo A-I was similar between women in the control and BC groups and between the early and advanced stages of the disease. Thus, the greater antioxidant activity observed in HDL from the BC group (22% increase in the delay time for LDL oxidation) and, more specifically, in the advanced stages of the disease, cannot be attributed to changes in classic components of its composition. However, it is known that HDL transport a range of proteins and bioactive lipids that make up their proteomics and lipidomics. These are not easily determined by simpler laboratory techniques, but may be determinants of their activity in modulating LDL and cell membranes oxidation.

HDL anchors several enzymes in its structure, particularly paraoxonase (PON-1), which acts in the hydrolysis of lipid peroxides, minimizing LDL oxidation and the consequent supply of cholesterol and oxysterols to tumor cells (27). PON-1 concentration and activity were not determined in the present study but may contribute to the observed antioxidant response. There are studies reporting a decrease in PON-1 activity in cancer patients (28, 29). This may indicate impaired defense property against oxidative stress with potential implications for cell proliferation, promotion of gene instability, and changes in cell susceptibility to chemotherapy. There is a consistent correlation between cancer and decreased serum PON1 activity (29).

In this study, the lag time for LDL oxidation was positively correlated with apo A-I content in the HDL particle. Apo A-I is one of the components of HDL that favors the antioxidant activity of this lipoprotein (30), as well as PON-1. However, a high concentration of apo-AI was associated with a high incidence of BC (31). On the other hand, the incidence of BC was lower among women with higher apoB concentration and higher apoB/apo-AI ratio (32). These findings were surprising across all regression models. However, until recently, the association between apolipoproteins and BC was not evaluated in larger studies.

Solid tumors contain a large amount of lipids due to their increased synthesis and lipoprotein uptake (33) through scavenger receptors. In particular, the greater expression of the scavenger receptor class B type 1 (SR-B1) is linked to the greater aggressiveness of tumors and their unfavorable prognosis (3436) while changes in its functionality, due to mutations, are related to the inhibition of tumor proliferation (37).

In a large sample of women with newly diagnosed BC, naïve to treatment, including all molecular types (n = 186), HDL composition was compared with healthy control women (n = 150). In BC, HDL was less enriched in TC, FL, and oxysterols (particularly 27-hydroxycholesterol) which may indicate less removal of cellular lipids. However, in vitro analysis of the intrinsic ability of HDL to remove cellular cholesterol demonstrated that cholesterol efflux from macrophages was similar between HDL isolated from BC and controls. On the other hand, in advanced stages of the disease (stages III and IV), despite the similar composition in apoA-I and lipids, HDL showed a lower ability to remove cholesterol from macrophages compared to HDL in the early clinical stages of BC (38).

Similarly to the present study, the anti-inflammatory activity of HDL was higher in BC (n = 38) compared to the control group (n = 9), regardless of the molecular type. However, in the more advanced stages of the disease (stages III and IV), the capacity of HDL to inhibit the secretion of inflammatory cytokines by macrophages was greater than in the initial stages (I and II) (unpublished data).

It is not possible, from these findings, to infer the exact contribution of HDL to tumor evolution, since it can also be modified in the tumor microenvironment. Thus, the results observed in HDL isolated from plasma may be due to reverse causation and may not necessarily reflect a causal effect on the genesis and evolution of cancer. The concept of HDL modulation by the tumor by reverse causation can unlink HDL as a direct determinant of tumor risk, being more related as a marker of tumor evolution than exactly protective or inducing its genesis. Inflammation and oxidation accompany the tumor bed and can modify HDL functionality. In this sense, inflammatory markers bind to HDL, detaching the apoA-I, which compromises its functionality (39, 40). Another limitation of the present investigation is the fact that dietary habits and physical activity were not recorded which may impact HDL generation and metabolization.

In the present study the results showed, for the first time, the role of HDL as an antioxidant defense in TNBC. This occurred independently of changes in HDL particle composition and plasma lipid profile. The greater antioxidant activity in advanced stages of TNBC, reflected by the delay in LDL oxidation even without changing the maximum ratio of conjugated dienes formation, could contribute to limiting oxidative and inflammatory stress in these tumors with worse clinical and therapeutic prognosis. By reducing LDL oxidation, HDL would reduce the supply of cholesterol and oxysterols to the tumor microenvironment, through oxidized LDL. Furthermore, it would limit the propagation of signaling pathways that result in processes of epithelial-mesenchymal transition and metastasis. Results reinforce that the determination of HDLc does not represent the best metric to infer the association of HDL with BC risk and, possibly, the evolution of the disease. Further investigation is required to better understand if the antioxidant function of HDL can contribute to the evolution of other histological types of BC. This is especially important considering the heterogeneous nature of BC, specifically related to the action of steroid hormones (estrogens and progesterone) that drives tumor evolution as well as HDL generation and metabolization.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Universidade Nove de Julho (#3.139.460; February/2019); Centro de Referência da Saúde da Mulher (Hospital Pérola Byington; #3.225.220; March/2019); e Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (#3.317.909, March/2019). The patients/participants provided their written informed consent to participate in this study.

Author contributions

Conceptualization, MP and LHG. Casuistic selection, MIBACS, MR, and JC. Methodology, ALC, MFMS, RTI, and SISA. Formal analysis, ALC, MIBACS, and MP. Investigation and data curation, ALC, MIBACS, and MP. Writing—original draft preparation, ALC and MP. Writing—review and editing, MP. Resources, MP. Project administration, MP. Funding acquisition, MP. All authors contributed to the article and approved the submitted version.

Funding

This research was funded by Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (grant # 2019/18431-4 to MP). MP is recipient of a research award from Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, Brazil.

Acknowledgments

The authors are thankful to Valéria Sutti Nunes and Kelly Gomes for laboratory assistance.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin (2021) 71(3):209–249. doi: 10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Almansour NM. Triple-negative breast cancer: A brief review about epidemiology, risk factors, signaling pathways, treatment and role of artificial intelligence. Front Mol Biosci (2022) 9:836417. doi: 10.3389/fmolb.2022.836417

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Guan X, Liu Z, Zhao Z, Zhang X, Tao S, Yuan B, et al. Emerging roles of low-density lipoprotein in the development and treatment of breast cancer. Lipids Health Dis (2019) 18:137. doi: 10.1186/s12944-019-1075-7

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Wei Y, Huang Y, Yang W, Huang K, Chen Y, Zeng K, et al. The significances and clinical implications of cholesterol components in human breast cancer. Sci Progress (2021) 104(3):368504211028395. doi: 10.1177/00368504211028395

CrossRef Full Text | Google Scholar

5. Eghlimi R, Shi X, Hrovat J, Xi B, Gu H. Triple negative breast cancer detection using LC–MS/MS lipidomic profiling. J Proteome Res (2020) 19(6):2367–78. doi: 10.1021/acs.jproteome.0c00038

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Nowak C, Ärnlöv JA. Mendelian randomization study of the effects of blood lipids on breast cancer risk. Nat Commun (2018) 9(1):3957. doi: 10.1038/s41467-018-06467-9

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Li X, Tang H, Wang J, Xie X, Liu P, Kong Y, et al. The effect of preoperative serum triglycerides and high-density lipoprotein-cholesterol levels on the prognosis of breast cancer. Breast (2017) 32:1–6. doi: 10.1016/j.breast.2016.11.024

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Mazzuferi G, Bacchetti T, Islam MO, Ferretti G. High density lipoproteins and oxidative stress in breast cancer. Lipids Health Dis (2021) 20(1):143. doi: 10.1186/s12944-021-01562-1

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wolff AC, Hammond ME, Hicks DG, Dowsett M, McShane LM, Allison KH, et al. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American society of clinical Oncology/College of American pathologists clinical practice guideline update. J Clin Oncol (2013) 31(31):3997–4013. doi: 10.1200/JCO.2013.50.9984

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Hammond ME, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, et al. American Society of clinical Oncology/College of American pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version). Arch Pathol Lab Med (2010) 134(7):e48–72. doi: 10.5858/134.7.e48

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. (1972) 18(6):499–502.

PubMed Abstract | Google Scholar

12. Lowry OH, Rosenbrough NJ, Farr AL, Randall RJ. Protein measurement with the folin-phenol reagent. J Biol Chem (1951) 193:265–75. doi: 10.1016/S0021-9258(19)52451-6

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Iborra RT, Ribeiro IC, Neves MQ, Charf AM, Lottenberg SA, Negrão CE, et al. Aerobic exercise training improves the role of high-density lipoprotein antioxidant and reduces plasma lipid peroxidation in type 2 diabetes mellitus. Scand J Med Sci Sports (2008) 18(6):742–50. doi: 10.1111/j.1600-0838.2007.00748.x

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kim Y, Park SK, Han W, Kim DH, Hong YC, Ha EH, et al. Serum high-density lipoprotein cholesterol and breast cancer risk by menopausal status, body mass index, and hormonal receptor in Korea. Cancer Epidemiol Biomarkers Prev (2009) 18(2):508–15. doi: 10.1158/1055-9965

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Pandrangi SL, Chittineedi P, Chikati R, Mosquera JAN, Llaguno SNS, Mohiddin GJ, et al. Role of lipoproteins in the pathophysiology of breast cancer. Membranes (2022) 12:532. doi: 10.3390/membranes12050532

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Lofterød T, Mortensen ES, Nalwoga H, Wilsgaard T, Frydenberg H, Risberg T, et al. Impact of pre-diagnostic triglycerides and HDL-cholesterol on breast cancer recurrence and survival by breast cancer subtypes. BMC Cancer (2018) 18(1):654. doi: 10.1186/s12885-018-4568-2

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Samadi S, Ghayour-Mobarhan M, Mohammadpour A, Farjami Z, Tabadkani M, Hosseinnia M, et al. High-density lipoprotein functionality and breast cancer: A potential therapeutic target. J Cell Biochem (2019) 120(4):5756–65. doi: 10.1002/jcb.27862

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Borgquist S, Butt T, Almgren P, Shiffman D, Stocks T, Orho-Melander M, et al. Apolipoproteins, lipids and risk of cancer. Int J Cancer (2016) 138(11):2648–56. doi: 10.1002/ijc.30013

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ganjali S, Ricciuti B, Pirro M, Butler AE, Atkin SL, Banach M, et al. High-density lipoprotein components and functionality in cancer: State-of-the-Art. Trends Endocrinol Metab (2019) 30(1):12–24. doi: 10.1016/j.tem.2018.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Bobin-Dubigeon C, Nazih H, Blanchard V, Croyal M, Bard JM. Circulating HDL and Non-HDL Associated Apolipoproteins and Breast Cancer Severity. J Clin Med. (2022) 11(5):1345. doi: 10.3390/jcm11051345.

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Fan Y, Ding X, Wang J, Ma F, Yuan P, Li Q, et al. Decreased serum HDL at initial diagnosis correlates with worse outcomes for triple-negative breast cancer but not non-TNBCs. Int J Biol Markers (2015) 30(2):e200–7. doi: 10.5301/jbm.5000143

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Ha M, Sung J, Song YM. Serum total cholesterol and the risk of breast cancer in postmenopausal Korean women. Cancer Causes Control (2009) 20:1055–60. doi: 10.1007/s10552-009-9301-7

PubMed Abstract | CrossRef Full Text | Google Scholar

23. His M, Zelek L, Deschasaux M, Pouchieu C, Kesse-Guyot E, Hercberg S, et al. Prospective associations between serum biomarkers of lipid metabolism and overall, breast and prostate cancer risk. Eur J Epidemiol (2014) 29(2):119–32. doi: 10.1007/s10654-014-9884-5.

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Kucharska-Newton AM, Rosamond WD, Mink PJ, Alberg AJ, Shahar E, Folsom AR. HDL-cholesterol and incidence of breast cancer in the ARIC cohort study. Ann Epidemiol (2008) 18:671–7. doi: 10.1016/j.annepidem.2008.06.006

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Nowak C, Ärnlöv J. A Mendelian randomization study of the effects of blood lipids on breast cancer risk. Nat Commun (2018) 9(1):3957. doi: 10.1038/s41467-018-06467-9.

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Cedó L, Reddy ST, Mato E, Blanco-Vaca F, Escolà-Gil JC. HDL and LDL: Potential new players in breast cancer development. J Clin Med (2019) 8(6):853. doi: 10.3390/jcm8060853

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Furlong CE, Suzuki SM, Stevens RC, Marsillach J, Richter RJ, Jarvik GP, et al. Human PON1, a biomarker of risk of disease and exposure. Chem Biol Interact ) (2010) 187(1-3):355–61. doi: 10.1016/j.cbi.2010.03.033

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Thompson EW, Demissei BG, Smith AM, Brahmbhatt P, Wang J, Clark A, et al. Paraoxonase-1 activity in breast cancer patients treated with doxorubicin with or without trastuzumab. JACC Basic Transl Sci (2021) 7(1):1–10. doi: 10.1016/j.jacbts.2021.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Medina-Díaz IM, Ponce-Ruíz N, Rojas-García AE, Zambrano-Zargoza JF, Bernal-Hernández YY, González-Arias CA, et al. The relationship between cancer and paraoxonase 1. Antioxidants (Basel) (2022) 11(4):697. doi: 10.3390/antiox11040697

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Georgila K, Vyrla D, Drakos E. Apolipoprotein A-I (ApoA-I), Immunity, Inflammation and Cancer. Cancers (Basel) (2019) 11(8):1097. doi: 10.3390/cancers11081097.

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Martin LJ, Melnichouk O, Huszti E, Connelly PW, Greenberg CV, Minkin S, et al. Serum lipids, lipoproteins, and risk of breast cancer: a nested case-control study using multiple time points. J Natl Cancer Inst (2015) 107(5):djv032. doi: 10.1093/jnci/djv032.

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mazidi M, Katsiki N, Mikhailidis DP, Radenkovic D, Pella D, Banach M. Apolipoprotein B/Apolipoprotein a-I ratio is a better predictor of cancer mortality compared with c-reactive protein: Results from two multi-ethnic US populations. J Clin Med (2020) 9(1):170. doi: 10.3390/jcm9010170

PubMed Abstract | CrossRef Full Text | Google Scholar

33. de Gonzalo-Calvo D, López-Vilaró L, Nasarre L, Perez-Olabarria M, Vázquez T, Escuin D, et al. Intratumor cholesteryl ester accumulation is associated with human breast cancer proliferation and aggressive potential: a molecular and clinicopathological study. BMC Cancer (2015) 15:460. doi: 10.1186/s12885-015-1469-5

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Gutierrez-Pajares JL, Ben Hassen C, Chevalier S, Frank PG. SR-BI: Linking Cholesterol and Lipoprotein Metabolism with Breast and Prostate Cancer. Front Pharmacol (2016) 7:338. doi: 10.3389/fphar.2016.00338

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Danilo C, Gutierrez-Pajares JL, Mainieri MA, Mercier I, Lisanti MP, Frank PG. Scanvenger receptor class b type I regulates cellular cholesterol metabolism and cell signaling associated with breast cancer development. Breast Cancer Res (2013) 15:R87. doi: 10.1186/bcr3483

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Yuan B, Wu C, Wang X, Wang D, Liu H, Guo L, et al. High scavenger receptor class b type I expression is related to tumor aggressiveness and poor prognosis in breast cancer. Tumor Biol (2016) 37:33581–3588. doi: 10.1007/s13277-015-4141-4

CrossRef Full Text | Google Scholar

37. Cao WM, Murao K, Imachi H, Yu X, Abe H, Yamauchi A, et al. A mutant high-density lipoprotein receptor inhibits proliferation of human breast cancer cells. Cancer Res (2004) 64:1515–21. doi: 10.1158/0008-5472.can-03-0675

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sawada MIBAC, Santana MFM, Reis M, Pereira L, Santos DR, Nunes VS, et al. Increased plasma lipids in triple-negative breast cancer and impairment in HDL functionality in advanced stages of tumors. (2022) PREPRINT (Version 1). Available at Research Square . doi: 10.21203/rs.3.rs-1663300/v1

CrossRef Full Text | Google Scholar

39. Van Lenten BJ, Hama SY, de Beer FC, Stafforini DM, McIntyre TM, Prescott SM, et al. Anti-inflammatory HDL becomes pro-inflammatory during the acute phase response. Loss of protective effect of HDL against LDL oxidation in aortic wall cell cocultures. J Clin Invest (1995) 96(6):2758–67. doi: 10.1172/JCI118345.

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Namiri-Kalantari R, Gao F, Chattopadhyay A, Wheeler AA, Navab KD, Farias-Eisner R, et al. The dual nature of HDL: Anti-Inflammatory and pro-Inflammatory. Biofactors (2015) 41(3):153–9. doi: 10.1002/biof.1205.

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: breast cancer, triple-negative breast cancer, HDL, LDL oxidation, antioxidant

Citation: Campos AdL, Sawada MIBAC, Santana MFdM, Iborra RT, de Assis SIS, Reis M, de Carvalho JX, Gebrim LH and Passarelli M (2023) The increased antioxidant action of HDL is independent of HDL cholesterol plasma levels in triple-negative breast cancer. Front. Oncol. 13:1111094. doi: 10.3389/fonc.2023.1111094

Received: 29 November 2022; Accepted: 13 February 2023;
Published: 09 March 2023.

Edited by:

Marc Poirot, INSERM U1037 Centre de Recherche en Cancérologie de Toulouse, France

Reviewed by:

Michael W. Lee, Dartmouth College, United States
Joan Carles Escolà-Gil, Sant Pau Institute for Biomedical Research, Spain

Copyright © 2023 Campos, Sawada, Santana, Iborra, de Assis, Reis, de Carvalho, Gebrim and Passarelli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Marisa Passarelli, m.passarelli@uni9.pro.br

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.