1. Introduction
There is a broad range of accepted therapeutic approaches to treat breast cancer. The treatments employed in breast cancer aim to reduce cell proliferation, tumor growth, and the risk of metastasis development [
1]. Among these therapies, estrogen antagonists, tamoxifen, and aromatase inhibitors are used as adjuvant therapy to treat hormone receptor-positive breast cancer. However, toxicity associated with these treatments is related to low response rates and long-term side effects [
2]. Additionally, patients with triple-negative breast cancer (TNBC) do not benefit from anti-estrogenic therapy [
3].
Aside from estrogenic antagonists, other steroid compounds, such as dehydroepiandrosterone (DHEA), have been proven to inhibit the proliferation and migration of breast cancer cell lines in vitro and prevent the development of breast cancer after mutagen administration [
4,
5]. Another steroid with a potent antiproliferative effect is the DHEA-analogue named 5-Androstene-3β, 17α-diol (α-AED). This hormone is more effective in inhibiting MCF-7 and MDA-MB231 breast cancer cell lines [
4,
6]. Regarding α-AED, its antiproliferative effect is independent of α- estrogen or androgen receptors [
7].
Androstene α-AED is an epimer of 5-Androstene-3β, 17β-diol (α-AED), which has been shown to upregulate immune activity [
8]. Both steroids occur naturally, α-AED being found to be secreted in the spermatic vein of human testes [
9]. This steroid is also found in amniotic fluid and fetal-placenta circulation of normally-expected pregnancies. Low levels were related to pathological pregnancies linked to diabetes, toxemia, and placental insufficiency [
10].
Even though androstenes are related to immune regulation, the main effect of α-AED is on the proliferation of tumor cells. Their effects have been widely studied in in vitro experiments to evaluate changes in immune system cells and the development of tumor cells, which have been done independently. Thus, the resulting interaction between the immune system and the cancer context remains unknown. The interaction aforementioned is relevant, knowing that immune cells influence the tumor’s microenvironment and can determine if the tumor development halts or progresses [
11,
12].
In addition to immune cell proportions and phenotypes, other important drivers in the tumor microenvironment are the soluble factors that play an essential role in the immune tumor milieu. In this sense, angiogenesis is associated with tumor nutrient supply and metastasis through the stimulation of the vascular endothelial growth factor (VEGF) [
13]. Hence, elevated levels of VEGF correlate with an increase in lymph node metastasis and worse prognosis in patients with breast tumors [
14]. All things considered, it is possible to directly modify the tumor microenvironment by directly administering pharmacological agents [
15]. Thus, to address the local microenvironmental modifications of the tumor and immune cells by α-AED, this compound was administered directly into mice tumors induced by 4T1 mammary tumor cells.
3. Discussion
The steroid α-AED has been widely tested as a proliferation inhibitor in different cancer cell lines, and its inhibitory concentrations vary according to the type of cell line. The inhibitory effect of α-AED has been proved in breast cancer cell lines in vitro. Examples include breast adenocarcinoma (MCF-7, MDA-MB231) and mammary ductal carcinoma (T-47D and TTU-1) with a lethal dose (LD50) established between 8 and 15 μM [
6]. It is important to mention that, even though the LD50 found in our results it is high, it does not exceed that found in human cancer cell lines. Thus, we are on the safe side in that regard.
The biphasic proliferative effect induced by the treatment of α-AED that was observed in our results is similar to that found in other cell models, where higher concentrations of the 17β-AED and 17α-AED steroid compounds induced cell proliferation in higher concentrations, unlike the inhibitory cell effect shown at lower concentrations [
16]. It is important to highlight that, as in previous reports, our results did not significantly increase the proliferative rate. Moreover, the biphasic effect of different hormones in the proliferation of cancer cells has been widely reported [
17,
18]. In addition, a biphasic proliferative response has been observed associated with the α-AED effect. First, the proliferation is increased in 4T1 cells treated with lower concentrations (1 pM–10 nM of α-AED). This effect has also been observed in murine macrophage-like cell line RAW 264.7 (concentration lower than 6.25 nM) cultured for 48 h and in human breast ductal carcinoma cells ZR75-1, as well as MDA-MB231 breast tumor cells (lower than 12.5 nM) cultured during six days [
8]. Second, at high doses, cell proliferation is suppressed (100 µM) and raised again (200 and 500 µM). This biphasic phenomenon is associated with androgens and reported in the LNCaP human prostatic cancer cell line treated with dihydrotestosterone (DHT). Therefore, it is proposed that high physiologic doses could be a tumor treatment [
19,
20].
In agreement with the results of Graf et al., we also observed that the triple-negative breast cancer cell line HCC1937 displayed low sensitivity to the inhibitory cell viability effect of the α-AED. The authors evaluated the effects of α-AED in the MDA-MB-231 triple-negative breast cancer cell line, showing its best result at 10–15 μM when compared with the MCF-7 cell line (IC
50 around 8.0 µM). The antiproliferative effects modulate eukaryotic initiation factor 2 (eIF2) more than ERα status. Regarding the mechanism of action of α-AED, a weakness of this work is that different mechanisms by which the compound acts in triple-negative breast cancer cells have yet to be elucidated in future studies. Therefore, we extended the insights evoked previously by dehydroepiandrosterone in other breast cancer cells similar to α-AED, where a reduction in cell proliferation has been achieved with high doses of the adrenal hormone dehydroepiandrosterone [
4,
6,
21]. Besides, we hypothesize that these findings also open the study for searching different cell targets with alternative techniques that allow exploring what mechanisms are due to the sensitivity of cancer cells to α-AED. Our research group has recently reported that although it was not declared, a direct proliferative effect of different estrogenic compounds in human triple-negative breast cancer cells, several crucial molecular factors involved in epithelial transition or hypoxia processes, among others, were modulated after their exposure [
22].
In line with the reduction of 4T1 cell density treated with α-AED 100 μM and 200 μM concentrations (
p ≤ 0.01 and
p ≤ 0.05) (
Figure 1A,B), we assessed if this effect was associated with the inhibition of the proliferation through the BrdU incorporation in proliferating cells. After 72 h of treatment with 100 μM and 200 μM, we observed a dramatic reduction in the percentage of proliferating cells BrdU+ (
p ≤ 0.01 and
p ≤ 0.05, respectively) (
Figure 1C,D). These results suggest that the reduction in cell density detected through SRB assay was associated with decreased proliferation of 4T1cells treated with α-AED [
7].
After assessing the size reduction of tumors treated with 100 μM and 200 μM of α-AED, we determined the effect of intratumoral treatment on immune cell infiltration in the 4T1 tumor model. According to Loria, 2002, immune regulation is associated with β-AED exposure, which is chemically identical to α-AED; meanwhile, the anti-tumoral effect is linked with the α-AED treatment [
8,
23]. However, because of the structural similarities between androstenediol β and α, and the lack of information associated with the immune tumor cell microenvironment, we search for some immune components of this milieu to determine if α-AED intratumoral treatment exerts local immune changes.
Moreover, cancer is a complex disease that involves tumor development and cell metastasis from the tumor to other distant tissues. Primary tumor growth rarely causes the death of its carrier and is the metastatic disease that causes the vast majority (about 90%) of cancer-related deaths [
24]. In this sense, we observed that lungs from 4T1 group mice exhibited metastatic-like lesions on the lung surface. These macroscopic metastases disappeared when tumors were treated with α-AED (100 μM and 200 μM) (
Figure 3). For instance, NK cell proportion was augmented within the tumors treated with α-AED 100 μM (
Figure 4). NK cells are known as cytotoxic cells of the innate response and in tumors, are principal effectors of the cancer immunoediting by recognizing and destroying tumor cells directly through the exocytosis of granules with perforin and granzyme, apoptosis mediated by different death receptors (FasL, TRAIL, and TNF-α), and IFN-γ secretion [
12,
25,
26]. Another way NK cells exert their cytotoxic effect in solid tumors is by the antibody-dependent cell-mediated cytotoxicity activated by antibodies linked to target cells [
27].
With these findings in the present study, we also search for humoral-response components in the tumor milieu as follows. In treated tumors, the percentages of plasmatic CD138+ and plasmablast cells CD19+ +/CD138+ were higher in tumors injected with 100 μM of α-AED (
p ≤ 0.05 and
p ≤ 0.001, respectively) (
Figure 5A,B). Furthermore, the tumors injected with 200 μM of α-AED contained an elevated proportion of plasmablast and B cells CD19+ (
p ≤ 0.05) (
Figure 5B,C). To our knowledge, there is no report about the effect of α-AED on the humoral-related response. Thus, these findings are the beginning of a further investigation. Moreover, the presence of naïve or mature B cells within different types of breast tumors is related to a positive prognostic effect in 54 cohorts [
28]. Furthermore, B (CD19+) lymphocytes are associated with a favorable prognosis in the overall survival of patients with tongue squamous cell carcinoma [
29]. In a similar case, elevated plasma cell density is linked to a longer time to relapse in triple-negative breast cancer tumors (TNBC) [
30]. Consequently, according to this knowledge and the increased proportions of B and plasmatic cells in the milieu of α-AED-treated tumors, we determined the systemic humoral response of these tumor-bearing mice. Neither of the populations’ changes observed in the tumor was detected in the spleen or PLN (
Figure 6)
In addition to immune cell proportions, we search for complementary ways by which α-AED mediates the reduction of the tumor size. Thus, we determined tumor soluble factors that include angiogenic (VEGF), type 1 response (TNF-α, IFN-γ), type 2 response (IL-4, IL-5), and regulatory (IL-10) soluble factors. Notably, VEGF levels in α-AED-treated tumors were lower (100 μM =
p ≤ 0.01) than in the Vh group (
Figure 7). As previously mentioned, VEGF is related to vessel growth, nutrient supply, and tumor cell dispersion to other tissues; thus, its decrease within the tumor may reduce tumor growth and metastasis [
13]. The diminished concentration of VEGF level in α-AED 100-μM-treated tumors may be associated with a direct production inhibition of the tumor milieu cells or linked to other microenvironmental factors. The VEGF expression is modified by hypoxia, free radicals, pH imbalance, and nutrient deficiency, which increase when the tumor grows. Therefore, the inhibition of the proliferation of the 4T1 cells mediated by α-AED could reduce these pro-angiogenic factors within the treated tumors and, consequently, the VEGF production [
31]. Further studies to unveil these mechanisms are needed. Since local treatment with α-AED 200 μM did not have the same effect on the reduction of tumor size compared with the intratumoral administration of α-AED 100 μM, we chose to exclude this group from this determination (
Figure 8). No type 1, type 2, and regulatory response interleukins were different in α-AED-injected tumors (
Figure 6 and
Figure 8E).
Intratumor drug delivery is not a common practice in breast cancer patients, with intravenous systemic chemotherapy being the most common administration route. However, only a tiny fraction of the anticancer drug reaches the tumor; therefore, high doses of the medicament must be administrated, increasing the undesirable side effects of chemotherapeutic compounds that affect healthy tissues [
32]. A leading objective in cancer research is to avoid or reduce the toxicity of conventional cytotoxic treatments. A promising method is the local delivery of the anticancer drug [
33], which may be used as a neoadjuvant or combinatory therapy before tumor removal. For that reason, different studies on diverse cancer types have focused on other intratumoral alternatives that have been proposed and applied in some cases in clinical and palliative cancer therapy [
34,
35], highlighting the translational impact of this work. Thus, in this study, we injected the antiproliferative steroid α-AED into the tumor. Besides its local immunological changes, we looked for its systemic immune effect in secondary lymphoid organs, such as the spleen and PLN. Following the previous findings, the reduction in tumor size accompanied by changes in humoral-related responses within the tumor treated with α-AED, suggests these cells’ role in tumor growth control. This could be explained because the B lymphocytes promote T-cell responses in the tumor microenvironment by producing cytokines and chemokines; and that they also differentiate into antibody-producing plasmatic cells [
28]. Specific antibodies may recognize tumor-associated antigens and act directly on target proteins or, through their Fc receptor, trigger antibody-dependent cellular cytotoxicity (ADCC) and improve antigen presentation and activation of T cells [
28]. Thus, to improve our understanding of humoral-related mechanisms in the 4T1 tumor mice model treated with α-AED, we determined the unspecific IgG and anti-4T1 IgG levels in mice serum. As well as B, plasmatic, and plasmablasts cells, we found no changes in unspecific antibodies (IgG). In contrast, the 4T1-specific IgG levels were elevated in mice treated with 100 μM and 200 μM of α-AED (
Figure 6).
Furthermore, cancer immunotherapy strategies may activate the immune system, but they can also lead it into supraphysiological levels with a subsequent risk of increasing immune-related adverse events. That is why targeted or localized drug delivery should be a major goal of chemotherapy. In general, intratumoral immunotherapies aim to initiate local recruitment of immune cells into the tumor microenvironment and subsequently prime T cells for a systemic polyclonal antitumor response and enhance this response, however, they can also directly attack the transformed cells, thus the natural immune control can be restored, and tumor growth contained. The intratumoral strategy offers enhanced regional efficacy and reduced systemic toxicity by enabling high bioavailability of the agent at the injected tumor sites while limiting systemic exposure and possibly systemic toxicity. Despite there being some information available for several types of cancer, the use of these new strategies in breast cancer have been poorly explored and the translation of proved strategies, as well as the development of new specific ones, remains urgent. Our results demonstrated that with a single local intratumoral injected dose of AED, tumors were reduced significatively as well as lung metastasis. Nevertheless, more studies are needed to determine the number of doses needed for a complete tumor growth inhibition and 100% metastasis inhibition as well.
Intratumoral immunotherapy treatments definitely reduce toxic effects and enhance the aimed responses. One of the main concerns about intratumoral injections was the possibility to “open the door” to metastasis; nevertheless, the evidence points to the fact that our intratumoral treatment avoids metastasis. The contact time between the therapy and the tumor cells seems to be critical in order to trigger specific immunity against tumors. Effectiveness of single intratumoral injections is related to the tumor size, the number, and sites of given doses. That is why a homogenized distribution and long-lasting delivery must be achieved in further research in order to increase the success of the intratumoral treatments. In order to achieve this goal, the combination of the administration technologies with the delivery strategies will be critical. It will also be desirable to personalize the treatments as much as possible, since not all patients respond to the same strategies, even if they bear the same type of breast cancer. This is the beginning of the translational study, and thus our results are very exciting in the context of the clinical presentation of the disease. Despite the significant advances in medicine, breast cancer remains one of the leading causes of death, and the number of breast cancer cases is still increasing worldwide. Moreover, it would be important to evaluate the combination of the α-AED-based therapy with other kinds of already available ones, or new promising drugs, to try out to interrupt the co-evolution of the immune system and tumor cells. Thus, the present contribution holds the basis to use α-AED alone or as a combined therapy with those already in use or in clinical tests to decrease the burden of breast cancer.
4. Materials and Methods
4.1. Reagents
The α-AED was supplied by Dr. Roger Loria (Virginia Commonwealth University). All additional reagents used were acquired as described below. All procedures were performed at the Instituto de Investigaciones Biomédicas (IIB) from the Universidad Nacional Autónoma de México (UNAM).
4.2. Ethics Statement
The Institutional Care and Animal Use Committee (CICUAL) reviewed and approved the animal study. All the experimental procedures and animal studies were performed within the standards established by CICUAL (permit number 2017-208), under Mexican regulation (NOM-062-ZOO-1999), and with the Guide for the Care and Use of Laboratory Animals of the National Institute of Health (NIH) of the United States of America. Animal procedures were performed at the IIB, UNAM, in the Biological Models Unit (Unidad de Modelos Biológicos, UMB, IIB, UNAM, Mexico, City).
4.3. Animals
Female 8-week-old BALB/c AnN mice (MGI Cat# 5654849, RRID: MGI:5654849) were obtained from Envigo México (Facultad de Química, UNAM, México). The animals were housed 4–5 per cage with 12 h of alternating light at 22 °C. Water and food (Envigo LabDiet 5015-Cat# 0001328 Purina, St. Louis, MO, USA) were delivered ad libitum in sterile conditions.
4.4. Cell Culture
The 4T1 murine mammary carcinoma cell line and the HCC1937 and a human breast cancer cell line (ATCC Cat# CRL-2539, RRID: CVCL_0125) were cultured in RMPI 1640 medium (Sigma, St. Louis, MO, USA) supplemented with 10% fetal bovine serum (FBS) for murine cells and 5% FBS for the human cell line (ByProducts, Guadalajara, Mexico), 1.0 mM sodium pyruvate, 100 units/mL penicillin, and 100 mg/mL streptomycin. 4T1 cells were maintained at 37 °C, with 95% humidity and 5% CO2 atmosphere.
4.5. Cell Viability Assay and IC50 Determination
To determine the dose of this steroid required to reduce 50% of the cell proliferation compared to cells treated with the vehicle (IC50), the SRB assay was used to quantify the cell density by determining cellular protein content. For the Sulforhodamine B (SRB) assay (Sigma, St. Louis, MO, USA), 4T1 and the triple-negative breast cancer cell line and HCC1937 cells were seeded in 96-well culture plates (1 × 10
3–2 × 10
3 cells per well) in media supplemented with 5 or 10% heat-inactivated and charcoal treated-FBS, 100 units/mL penicillin plus 100 μg/mL streptomycin, and maintained with a 5% atmosphere of CO
2 at 37 °C and 95% humidity. Twenty-four hours after seeding, cells were treated once with vehicle (0.1%
v/
v EtOH) or with increasing concentrations of α-AED and incubated for 72 h. Next, cell viability was obtained using an SRB assay that determines cell density by measuring protein content, performed according to [
36], with modifications. In brief, cells were fixed with 100 μL of cold trichloroacetic acid (10%) for 1 h, washed three times with water, and air-dried overnight. Afterwards, cells were stained with 100 μL of SRB 0.057% in 1% acetic acid for 30 min, washed with 150 μL of acetic acid (1%), and air-dried for 2 h. Next, 100 μL of 10 mM Tris base solution (pH 10) was aggregated to solubilize the protein-bound dye, and the plates were agitated for 30 min. Plates were read at 492 nm in a Stat Fax 4200 microplate reader (Awareness Technology, Costa Mesa, CA, USA). Data were normalized to run between 0 and 100% and 0 and 1 as follows: Cell viability = optical density (OD) 492 in treatment wells/OD492 in control wells, respectively. Experiments were performed in triplicate on three different occasions, organized as an XY tab, and charted as a dose-response curve fitted to determine the IC50; calculated with Prism 6 software (GraphPad Software Inc., San Diego, CA, USA).
4.6. Cell Proliferation Assay
To quantify 4T1 cell proliferation, we determined the bromodeoxyuridine (BrdU) incorporation during DNA synthesis. This assay was performed in cells maintained in the same culture conditions as those for the SRB assay and treated with vehicle, 100 μM, and 200 μM, for 72 h. Procedures were performed according to the manufacturer’s protocol (BD Apoptosis, DNA Damage and Cell Proliferation Kit, Cat 15821759, Thermo Fischer Scientific, Waltham, MA, USA) with PerCP-Cy5.5 Mouse Anti-BrdU. Briefly, cells were incubated with BrdU at a final concentration of 10 μM in cell culture medium (106 cells/mL). The treated cells were then incubated for 2 h. Then, 4T1 cells were fixed and permeabilized in sequence with BD Cytofix/Cytoperm Buffer, BD, and BD Cytofix/Cytoperm Buffer. Finally, cells were treated with DNase before incubation with the anti-BrdU-FITC antibody. Cell analysis was performed with BD FACSCaliburTM (BD Biosciences, Switzerland Sàrl) flow cytometer and the data were analyzed with FlowJo software (Treestar Inc., Switzerland Sàrl). Compensation was assessed in BD FACSCaliburTM and FlowJo software 3 with unstained samples.
4.7. Orthotopic Tumor Cell Induction
After a second subculture at 80% confluency, 4T1 cells were harvested and suspended in sterile 0.9% NaCl solution at a concentration of 250,000 cells/mL. They were conserved in ice until injection into the mice. For the mammary tumor induction, mice were anesthetized with sevoflurane 5% (Abbot, Mexico City, Mexico), and the abdominal area was cleaned with EtOH 70%. In the fat pad under the second last right nipple, 1 × 104 4T1 cells were injected subcutaneously. Mice recovery was supervised.
4.8. Tumor Model and α-AED Treatment
To test the intratumoral effect of α-AED on tumor growth, female mice were randomized into the following experimental groups: (1) Intact group of animals (n = 11); (2) 4T1 group of animals with untreated tumors (n = 12); (3) Vh group with tumors injected with 40 μL of corn oil vehicle (n = 14); (4) α-AED 100 μM group of mice with intratumoral injection of 580 ng of α-AED in 40 µL of corn oil (n = 15), and (5) α-AED 200 μM group of animals injected with 1160 ng of α-AED in 40 μL of corn oil into the tumor (n = 12). Tumor growth was observed for 28 days. Finally, the tumor weight was obtained at the moment of the euthanasia on day 28 post-inoculation.
4.9. Flow Cytometry
General tumors were excised and minced with a scalpel. The left and right peripheral (inguinal) lymph nodes (PLNs) and the spleen were excised and mechanically disaggregated through a 50 μm nylon mesh with PBS. After the PBS wash, the cells of the lymph nodes were resuspended in FACS buffer (PBS, 2% FBS, 0.02% NaN3). Splenic erythrocytes were lysed with ACK buffer (150 mM NH4Cl, 10 mM KHCO3, 0.1 mM Na2 EDTA, pH 7.3) for 10 min, washed with PBS, and resuspended in FACS buffer. The minced tumors were incubated in a digestion medium (RPMI 1640, 10 U/mL DNase, Roche, Mannheim, Germany; 0.5 mg/mL type IV Collagenase, Sigma, St. Louis, MO, USA) for 20 min. To stop the tumor digestion, 50 μL FBS was added, and the mechanical disruption in a 50 μm nylon mesh was performed. After the PBS wash, the cells were resuspended in FACS buffer. Approximately 1 × 106 cells were incubated (20 min at 4 °C) with anti-CD16/CD32 (TruStain, Cat# 101319, Clone 93, RRID:AB_1574973, BioLegend, San Diego, CA, USA) and washed. Then, they were stained with the following panels. For T lymphocyte: AlexaFluor 488-conjugated anti-CD3ε (Cat# 100321, Clone 145-2C11, RRID:AB_389301) 1:100, PE-conjugated anti-CD4 (Cat# 100407, Clone GK1.5, RRID:AB_2075573) 1:300, PerCP-conjugated anti-CD8 (Cat# 100732, Clone 53–6.7, RRID:AB_893423) 1:100, and AlexaFluor 647-conjugated anti-Foxp3 (Cat# 320013, Clone 150D, RRID:AB_439750) 1:100. For macrophage and NK: AlexaFluor 647-conjugated anti-F4/80 (Cat# 123122, Clone BM8, RRID:AB_893492) and PE-conjugated anti-NKp46 (Cat# 137604, Clone 29A1.4, RRID:AB_2235755). To B lymphocyte: PE-conjugated anti-CD19 (Cat# 115507, Clone 6D5, RRID:AB_313642), 1:200, and plasmatic cells: Brilliant Violet 421TM anti-mouse CD138 (Syndecan-1) (Cat# 142507, Clone 281-2, RRID: AB_2565621). Antibodies from BioLegend, San Diego, CA, USA, and the Foxp3/Transcription Factor Staining Buffer kit (Cat# TNB-0607-KIT, Tonbo Biosciences, San Diego, CA, USA) were used for intracellular Foxp3 staining, according to the manufacturer’s protocol.
Cell analysis was performed with the BD FACSCaliburTM (BD Biosciences) flow cytometer. The data were analyzed with FlowJo software (Treestar Inc.). Compensation was assessed in BD FACSCaliburTM and FlowJo software with unstained samples, single stain controls, and FMO for Foxp3+ (CD3+/CD4+).
4.10. Cytokine Determination
The tumors from the mice were stored in TRIzolTM reagent (Cat# 15596026, Invitrogen, Waltham, MA, USA) at −70 °C until use. Protein isolation was performed according to the procedural guidelines for TRIzolTM reagent use. Protein quantification was performed with a NanoDrop 1000 spectrophotometer (Thermo Scientific, Waltham, MA, USA). To determine cytokine tissue levels, 10 µg of protein was used.
Tumor cytokines were measured with ABTS ELISA kits (PeproTech, Waltham, MA, USA) and the antibodies: TNF-α (Cat# 500-P64bt, RRID:AB_147984), IFN-γ (Cat# 500-P119bt, RRID:AB_148087), IL-4 (Cat# 500-P54bt, RRID:AB_147636), IL-5 (Cat#500-P55), and IL-10 (Cat# 500-P60, RRID:AB_147978). The same unconjugated antibodies were used for cytokine capture, according to the manufacturer´s instructions. Briefly, coated plates (96-well plate, MaxiSorp Nunc Cat# NNC#442404) with 50 µL (2 µg/mL) of different antibodies were incubated overnight. After 3 three washes (wash buffer, PeproTech), the plates were blocked (block buffer: PeproTech) and washed again. Samples were added by duplicate as follows: 50 µL of sera (1:2 dilution) or tissue protein (10 µg) (in diluent solution, PeproTech), incubated at 4 °C for 2 h and washed three times. An enzyme-substrate reaction was developed with ABTS liquid substrate (PeproTech). The plates were read at 405 nm wavelength with a wavelength correction set at 650 nm at different time points in a Stat Fax 4200 microplate reader (Awareness Technology). All solutions were from the ABTS ELISA buffer kit (Cat# 900-K00).
4.11. VEGF Quantification
The VEGF concentrations were calculated by interpolation from a standard curve (0.001–1 ng/mL) performed with the mouse VEGF protein, VEGF mBA-165 (Cat# sc-4571, Santa Cruz Biotechnology, Santa Cruz, CA USA). Tumor protein was obtained and quantified through the same protocol implemented for cytokine determination.
The polystyrene wells (96-well plate, MaxiSorp Nunc Cat# NNC#442404) were coated with 50 µL of tumor protein (10 µg) or with the different concentrations of the standard curve, all diluted in bicarbonate buffer (pH 9.6), coated per duplicate, and incubated at 4 °C overnight. The plate was washed and blocked with 200 µL of PBS/bovine serum albumin (BSA) 1%/Tween 20 0.05% for 1 h at 4 °C and washed again. Furthermore, 50 µL of anti-VEGF/C-1 antibody (Cat# sc-7269, RRID:AB_628430, Santa Cruz Biotechnology) in a 1:200 dilution was added and incubated for 1 h at 4 °C. After washing, 50 µL of m-IgGκ/BP-HRP (Cat# sc-516102, RRID:AB_2687626, Santa Cruz Biotechnology) (1:400) was added and maintained for 2 h at room temperature. An enzyme-substrate reaction was developed with 50 µL of substrate solution and stopped after 15 min with 50 µL 2N sulfuric acid. The plates were read at a wavelength of 492 nm in a Stat Fax 4200 microplate reader (Awareness Technology). Cytokine and VEGF concentrations were calculated by interpolation from a standard curve.
4.12. IgG Detection
Polystyrene wells (96-well plate, MaxiSorp Nunc Cat# NNC#442404) were coated with 50 µL of mice sera/bicarbonate buffer (pH 9.6) (1:1000) or with 1 µg/1 mL of 4T1 crude extract, overnight at 4 °C. The plate was washed three times with PBS/Tween 20 0.05% and blocked with 200 µL of 3% BSA and washing solution for 30 min at room temperature. The plate was washed as mentioned. For the anti-4T1 IgG determination, plates were incubated with mice sera (1:200) for 2 h at room temperature and washed. In both cases, 50 µL of peroxidase goat anti-mouse IgG (Jackson, PA, USA RRID:AB_2338511) at 1:10,000 dilution was added over 90 min at room temperature. An enzyme-substrate reaction was developed by adding 50 µL of freshly prepared substrate solution (0.05% o-phenylenediamine/0.01% H2O2/0.1 M sodium citrate/0.1 M citric acid) and stopped with 50 µL 2N sulfuric acid after 10 min. The plate was read at a wavelength of 492 nm in a Stat Fax 4200 microplate reader (Awareness Technology). Cytokine, VEGF, and antibody determination were performed after proper ELISA standardization.
4.13. Histological Analysis of Lungs
According to the Mexican Official Guide, all mice were sacrificed by isoflurane overdoses. To prevent alveolar collapse, whole lungs were fixed through intratracheal perfusion with 500 µL of 4% paraformaldehyde diluted in isotonic saline solution. After thoracotomy, lungs were dissected and then submerged in the same fixative solution for a minimum of 24 h. Furthermore, the lungs were rinsed in tap water, dehydrated through ascending ethanol grades, cleared in xylene, and embedded in paraffin with an orientation to obtain transversal sections from both lungs. Sixteen lung histological sections from each group of mice (4 μm thick and separated from each other by 100 μm) were stained with hematoxylin-eosin and analyzed using a BX50 Olympus microscope equipped with a digital camera and Infinity Analyze software, v6.3.0.
4.14. Statistical Analysis
Data were charted as mean ± SD. A non-parametrical Kruskall–Wallis test and Tukey test for multiple comparisons were applied. The differences were considered significant when p ≤ 0.05. All the analyses were calculated with Prism 6 software (GraphPad Software Inc.).