BioMed Research International

BioMed Research International / 2016 / Article

Research Article | Open Access

Volume 2016 |Article ID 2925657 |

Cláudia Danella Polli, Luciana Pereira Ruas, Luciana Chain Veronez, Thais Herrero Geraldino, Fabiana Rossetto de Morais, Maria Cristina Roque-Barreira, Gabriela Pereira-da-Silva, "Jacalin-Activated Macrophages Exhibit an Antitumor Phenotype", BioMed Research International, vol. 2016, Article ID 2925657, 12 pages, 2016.

Jacalin-Activated Macrophages Exhibit an Antitumor Phenotype

Academic Editor: Tzi Bun Ng
Received17 Dec 2015
Revised25 Jan 2016
Accepted23 Feb 2016
Published29 Mar 2016


Tumor-associated macrophages (TAMs) have an ambiguous and complex role in the carcinogenic process, since these cells can be polarized into different phenotypes (proinflammatory, antitumor cells or anti-inflammatory, protumor cells) by the tumor microenvironment. Given that the interactions between tumor cells and TAMs involve several players, a better understanding of the function and regulation of TAMs is crucial to interfere with their differentiation in attempts to skew TAM polarization into cells with a proinflammatory antitumor phenotype. In this study, we investigated the modulation of macrophage tumoricidal activities by the lectin jacalin. Jacalin bound to macrophage surface and induced the expression and/or release of mainly proinflammatory cytokines via NF-κB signaling, as well as increased iNOS mRNA expression, suggesting that the lectin polarizes macrophages toward the antitumor phenotype. Therefore, tumoricidal activities of jacalin-stimulated macrophages were evaluated. High rates of tumor cell (human colon, HT-29, and breast, MCF-7, cells) apoptosis were observed upon incubation with supernatants from jacalin-stimulated macrophages. Taken together, these results indicate that jacalin, by exerting a proinflammatory activity, can direct macrophages to an antitumor phenotype. Deep knowledge of the regulation of TAM functions is essential for the development of innovative anticancer strategies.

1. Introduction

Tumors are composed, besides the tumor cells, of a wide population of leukocytes and other types of infiltrating immune cells [1]. Immune cell infiltrates have been shown to significantly affect the malignant transformation [2] so that the interactions between immune and neoplastic cells are crucial in determining the course of tumorigenesis. Tumor-associated macrophages (TAMs) constitute a key component of the leukocytic infiltrate in tumors [3] and can exert different properties depending on the microenvironment. These cells act as fundamental inflammatory orchestrators in the development of different types of tumors.

Although TAMs are generally associated with tumor promoting roles in human cancers [4, 5], in certain types such as colorectal, stomach, and skin cancers, their presence correlates with good prognosis [6, 7]. TAMs are plastic cells that can exhibit a continuum of phenotypes [3, 810] and were characterized as M1 and M2 cells that represent the extremity of proinflammatory and anti-inflammatory phenotypes. Highly microbicidal and tumoricidal M1 macrophages are induced by IFN-γ alone or in concert with microbial stimuli, such as LPS or cytokines (e.g., TNF-α). These cells secrete high levels of proinflammatory cytokines (e.g., TNF-α, IL-12, IL-23, IL-6, and IL1-β), chemokines, and effector molecules, such as inducible nitric oxide synthase (iNOS) and MHCI/II. In contrast, immunosuppressive M2 macrophages are induced by IL-4 or IL-13 and are able to facilitate tumor progression. M2 macrophages express or secrete anti-inflammatory molecules, such as IL-10, TGF-β, and arginase-1 [10]. Given that TAMs can respond to different signals from the tumor microenvironment, there has been considerable effort to develop immunotherapies that skew their behavior to become cancer-suppressive.

Lectins, carbohydrate-binding proteins of nonimmune origin, can recognize aberrant glycosylation, a characteristic of all types of experimental and human cancers [11]. In cancer research, lectins were initially used as tumor recognition tools to differentiate malignant from benign tumors and the degree of glycosylation associated with metastasis [12]. In the last years, some plant lectins have been described for their potential therapeutic applications. Mistletoe lectins, ricin, and wheat germ agglutinin (WGA) have shown prominent antiproliferative and apoptosis-inducing activities toward cancer cells [1317]. Besides, binding of lectins such as Concanavalin A and Polygonatum cyrtonema to glycosylated receptors on cancer cell surface has been shown to trigger autophagic cell death [1821]. The number of studies evaluating the antitumor potential of plants lectins has increased, and some are at the preclinical and clinical levels [2224].

Jacalin, a noncytotoxic plant lectin extracted from the seeds of Artocarpus integrifolia, was first described as a general T cell mitogen [25] that modulates Th1/Th2 cytokine secretion [26] by binding CD45 on T cell surface. Jacalin also induces interferon-γ and IL-6 secretion by monocytes [27]. This lectin specifically recognizes human IgA [2830], D-galactose, and Thomsen-Friedenreich antigen (Galβ1-3GalNAc) [31], which is expressed in more than 85% of human carcinomas. In a recent study using mouse and rat bladder cancer models, jacalin showed strong discrimination between normal urothelium and neoplastic urothelium [32]. Due to the ability of jacalin to recognize TF antigens, its use as a carrier protein in cancer treatment has been considered [3336]. Jacalin has been identified as a suitable molecule to carry nanoparticles conjugated with anticancer biomolecules and to selectively deliver these conjugates to tumor cells [37, 38]. TF-specific lectins are gaining clinical implications as they are increasingly known to inhibit cancer cell proliferation and metastasis in TF expressing cells [39].

In the present study, we analyzed the modulation of macrophage tumoricidal activities by jacalin. We show that the lectin drives macrophage polarization toward a proinflammatory, antitumor phenotype.

2. Materials and Methods

2.1. Monocyte Purification and Generation of Monocyte-Derived Macrophages

Human mononuclear cells were isolated from EDTA anticoagulated blood obtained from healthy volunteers who signed informed consent forms. An initial centrifugation for 20 minutes at 120 g allowed recovering the platelet-rich plasma, which was further centrifuged for 10 minutes at 1000 g to remove platelets. Blood cells were resuspended in the platelet-poor plasma and monocytes isolated by one step density-gradient centrifugation on Ficoll-Hypaque according to the manufacturer’s instructions. Monocytes were seeded (106 per mL), and after 2 h nonadherent cells were removed by aspiration. Next day adherent cells were treated with 100 ng/mL of PMA for 24 h. Cells were maintained in RPMI during 6 days until completely differentiated.

2.2. Purification and Biotinylation of Jacalin

The lectin jacalin was purified by affinity chromatography on immobilized D-galactose agarose. The lectin purity was analyzed by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) (Figure 1), and protein concentration was determined by the bicinchoninic acid (BCA) assay (Pierce). Jacalin was biotinylated using Sulfo-NHS-LC-Biotin (Pierce) according to the manufacturer’s recommendations.

2.3. Binding Assay

Macrophages, HT-29 cells, and MCF-7 cells (106/mL) were incubated with biotinylated jacalin (20 μg/mL) for 30 min at 4°C. For some of the assays the lectin was previously incubated with 100 mM D-galactose for 30 min at 37°C. After incubation with streptavidin-Alexa-488 for 30 min at 4°C, cells were fixed with 1% formaldehyde and analyzed by flow cytometry. Results were analyzed using the software FACSDiva.

2.4. MTT Assay

Cell proliferation was analyzed using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. Briefly, cells were seeded in 96-well plates (1 × 104 cells/well) and were incubated with different concentrations of jacalin (2.5–40 μg/mL) or LPS (1 μg/mL) for 24–72 h. Supernatants from jacalin-stimulated macrophages were also tested. After washing twice with PBS, 20 μL of MTT solution (0.125 mg/mL) was added to the wells. After incubation for 4 h at 37°C, the resultant formazan crystals were dissolved in acid-isopropanol (50% of isopropanol, 0.4% of chloridric acid at 37%) containing triton 5% (100 μL) and the absorbance intensity was measured by a microplate reader at 490 nm with a reference wavelength of 570 nm. All experiments were performed in triplicate, and the relative cell viability (%) was expressed as a percentage relative to the untreated control cells.

2.5. Enzyme-Linked Immunosorbent Assays (ELISAs)

Macrophages were incubated with jacalin (2.5 to 40 μg/mL) or LPS (1 μg/mL) for 48 h. The supernatants were harvested and the concentrations of TNF, IL-6, IL-12p70, IL-10, IL-1β, and TGF-β were measured by ELISA, according to the manufacturer’s instructions (BD Biosciences).

2.6. Real-Time Quantitative PCR

For determination of relative mRNA expression, we utilized the method. Total RNA was extracted with TRIzol (Invitrogen, Carlsbad, CA, United States) according to the manufacturer’s instructions. Reverse transcription was performed with oligo dT primers. Real-time polymerase chain reaction (PCR) was carried out in a StepOnePlus Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) with SYBR Green PCR Master Mix (Promega). Gene expression levels were quantified relative to the expression of β-actin. Primers used for Real-Timer PCR (5′-3′) were as follows: β-actin, F-TGACGGGGTCACCCACACTGTGCCCATCTA, R-CTAGAAGCATTGCGGTGGACGATGGAGGG; TNF-α, F-GGAAGAGAACCTGCCTGGC, R-GGAAGAGAACCTGCCTGGC; IL-1β, F-CAAGGCACAACAGGCTGCT,  R-CATTTCACTGGCGAGCTCAG; MIP-1α, F-CCGACCGCCTGCTGCTTCA,  R-CTGCCGGCTTCGCTTGGTTAG; CXCL8, F-AGGGTTGCCAGATGCAATAC,  R-AAACCAAGGCACAGTGGAAC; CCL2, F-CAGCCAGATGCAATCAATGCC,  R-TGGAATCCTGAACCCACTTCT; iNOS, F-TCCGAGGCAAACAGCACATTCA,  R-GGGTTGGGGGTGTGGTGATGT; TRAIL, F-CTTCACAGTGCTCCTGCAGT,  R-TTAGCCAACTAAAAAGGCCCC.

2.7. NF-κB Activation

We used RAW 264.7 cell line, which expresses the luciferase reporter gene under the transcriptional control of an NF-κB response element. Briefly, 5 × 105 cells/wells were stimulated with jacalin (20 or 40 μg/mL) or LPS (1 μg/mL) for, respectively, 4 hours or 1 hour (LPS) at 37°C. After washing with PBS, cells were incubated with 40 μL of cell lysis buffer containing Tris-HCl pH 8.5, EDTA 5 mM, NaCl 200 mM, and triton 1% during 20 min at 4°C. Cell lysates were collected and centrifuged at 20000 ×g for 8 min at 4°C and 10 μL of supernatants was collected. After addition of substrate solution (luciferase assay system kit, Promega), luciferase activity was determined using a GloMax-Multi Jr (Promega) luminometer.

2.8. Apoptosis Assay

HT-29 and MCF-7 cells were cultured with supernatants from jacalin-activated macrophages for 72 hours. Cells were rinsed twice with PBS, harvested, and stained with Annexin V-FITC/Propidium Iodide (PI), according to the manufacturer’s instructions (BD Biosciences). Apoptosis was determined by fluorescence-activated cell sorting (FACSCanto, Becton Dickinson, CA, USA). The percentage of apoptotic cells (Annexin V-PI-positive) was calculated using the software FACSDiva.

2.9. Statistics

Results are expressed as the mean ± standard error of the mean (SEM). The differences between treatments were analyzed by Student’s -test. Statistical analyses were performed using GraphPad Prism 5 software (La Jolla, CA, USA). The differences were indicated as , , and compared to control cells.

3. Results

3.1. Purified Jacalin Has 11.4 and 14.7 kDa Protein Bands

Jacalin samples were submitted to reducing SDS-PAGE. After electrophoresis, purified jacalin showed two protein bands of apparent molecular weights of 11.4 and 14.7 kDa (Figure 1, lane B). Artin M, the other lectin from A. integrifolia which was used as the control of the purification procedure, showed a single protein band of apparent molecular weight of 13 kDa (Figure 1, lane A).

3.2. Jacalin Ligands Are Expressed on the Surface of Both Human Macrophages and Tumor Cells

We studied jacalin binding to the surface of human macrophages and HT-29 and MCF-7 tumor cell lines. Cells were incubated with biotinylated jacalin followed by Alexa-488-streptavidin and then analyzed by flow cytometry. As shown in Figure 2, all cells (100%) were surface labeled. Based on these data, we investigated whether jacalin binding to the cell surface is dependent on carbohydrate recognition. Addition of galactose (specific sugar) inhibited jacalin binding to macrophages (85%), HT-29 cells (40%), and MCF-7 cells (62%). As expected, glucose (nonspecific sugar) did not affect binding. These results suggest that jacalin binds to macrophage and tumor cell surface mainly via its carbohydrate recognition domains (CRDs).

3.3. Effects of Jacalin on HT-29 and MCF-7 Cell Viability

Since jacalin binds to HT-29 and MCF-7 cells, we performed MTT assays to investigate its potential cytotoxicity against these tumor cells. Cells were incubated with jacalin at the indicated concentrations for 24, 48, and 72 hours, and then cell viability was measured (Figure 3). Cell proliferation was not inhibited by any concentration of jacalin (Figure 3(a)). These results show that jacalin has no direct cytotoxic effect on these tumor cells.

3.4. Production of Mediators by Jacalin-Activated Macrophages

Next we investigated whether jacalin induces cytokine secretion by human macrophages. Macrophages were stimulated for 48 hours with jacalin (2.5 to 40 μg/mL) or LPS (1 μg/mL), and cytokine secretion was evaluated by ELISA (Figure 4). The lectin induced the production of high levels of TNF and IL-6. IL-6 secretion by jacalin-stimulated macrophages increased in a dose-dependent manner. The highest levels of TNF and IL-1β were obtained with 10 to 40 μg/mL of jacalin. Only the highest concentration (40 μg/mL) of jacalin induced IL-12p70 release. We also detected IL-10 in the supernatant of jacalin-stimulated macrophages. The lectin did not affect the basal production of TGF-β.

3.5. Effects of Jacalin on the Expression of Tumoricidal Macrophage Mediators

Next we studied the mRNA expression of mediators normally produced by M1 tumoricidal macrophages. RT-PCR analysis revealed a significant increase of TNF-α, IL-1β, MIP-1α, and iNOS mRNA levels in jacalin-stimulated macrophages (Figure 5). On the other hand, we did not detect changes in CXCL8, CCL2, and TRAIL (TNF-related apoptosis-inducing ligand) mRNA expression after cell stimulation (data not shown). These results support the hypothesis that jacalin drives macrophages toward the tumoricidal phenotype.

3.6. Jacalin Activates the NF-κB Signaling Pathway in Macrophages

Given that NF-κB activation is critically involved in the production of proinflammatory mediators, we investigated whether jacalin is able to activate this signaling pathway. RAW NF-κB-luc cells were stimulated with jacalin (20 or 40 μg/mL) or with LPS (1 μg/mL) and NF-κB activation was measured by luciferase activity. Both concentrations of jacalin induced similar levels of NF-κB activation, as demonstrated by luciferase intensity (Figure 6). These results show that jacalin-induced macrophage activation involves the NF-κB pathway.

3.7. Supernatants from Jacalin-Activated Macrophages Induce Tumor Cell Death

As jacalin-activated macrophages produced high amounts of proinflammatory mediators like TNF-α, we investigated whether the supernatant from these cells has a cytotoxic effect on tumor cell lines. HT-29 and MCF-7 cells were incubated with supernatants from jacalin-stimulated macrophages for 24, 48, or 72 hours, and cell proliferation was analyzed by MTT assays (Figures 7(a) and 7(b)). Tumor cell proliferation was not affected upon incubation with macrophage supernatants during 24 hours. After 48 hours, incubation of HT-29 cells with supernatants from macrophages stimulated with 5 and 10 μg/mL of jacalin resulted in a 30% reduction of cell proliferation, while 40 μg/mL of jacalin induced a 50% reduction. Similarly, the incubation of MCF-7 cells with supernatants from macrophages stimulated with 40 μg/mL of jacalin decreased cell proliferation by 50%. Higher antiproliferative effects were observed after 72 h incubation with supernatants from jacalin-stimulated macrophages. In these conditions, we found a 32–43% decrease in HT-29 cell proliferation and 23–64% inhibition of MCF-7 cell proliferation.

Given the cytotoxic effects of supernatants from jacalin-stimulated macrophages on tumor cells, we performed flow cytometric analysis to assess whether the supernatants induce tumor cell death (Figure 7(c)). As demonstrated by the percentage of Annexin V-PI-positive cells, treatment of HT-29 cells with supernatants from macrophages stimulated with 10 and 40 μg/mL of jacalin significantly increased tumor cell apoptosis. Similarly, incubation of MCF-7 cells with supernatants from macrophages stimulated with 20 μg/mL of jacalin resulted in 80% of cell death. These results indicate that jacalin induces macrophages to produce soluble mediators that exert cytotoxic effects on tumor cells.

4. Discussion

In the present study, we analyzed the modulation of macrophage tumoricidal activities against human colon (HT-29) and breast (MCF-7) adenocarcinoma cells by the lectin jacalin. Our results show that jacalin polarizes macrophages toward a proinflammatory, antitumor phenotype.

Given that jacalin is able to recognize glycans like the TF antigen [31, 40], which is expressed on a large number of tumors, we investigated the binding of the lectin to HT-29 and MCF-7 cell surfaces. Our results suggest that jacalin binds to tumor cells via its carbohydrate recognition domains (CRDs) as well as through protein-protein interactions, as the binding was partially inhibited in the presence of the specific sugar. Although some studies have reported that jacalin has antiproliferative effects on HT-29 cells [4143], we did not observe a direct cytotoxic effect of the lectin on either HT-29 or MCF-7 cells.

Within the tumor context, macrophages are increasingly recognized as pivotal regulators. By exerting ambiguous functions, these cells can significantly affect the course of tumor development [6, 4447]. Depending on the cancer type, the higher density of TAMs is associated with poor or favorable prognosis [4852]. In a recent study, the dense infiltration of CD40+ macrophages indicated a favorable prognosis in colorectal cancer patients [53].

In response to different stimuli, macrophages undergo polarized activation. While proinflammatory M1 macrophages exhibit tumoricidal activities, anti-inflammatory M2 macrophages are oriented to tumor progress [5456]. In the present study, jacalin-stimulated macrophages produced the proinflammatory cytokines TNF, IL-6, IL-12, and IL-1β, as well as the anti-inflammatory cytokine IL-10. Furthermore, these cells showed increased expression of iNOS, a signature molecule for M1, and MIP-1α mRNA, a chemokine that amplifies the proinflammatory response by inducing the production of TNF-α, IL-6, and IL-1β by macrophages [57].

The NF-κB transcription factor, a key regulator of carcinogenesis, can influence tumor progress both positively and negatively [58]. Despite its controversial role in tumor cells [58], its role in TAMs is well established. In the early stages of carcinogenesis, NF-κB is activated in M1 TAMs (TNF-αhigh, IL-1high, IL-12high, IL-10low, and TGF-βlow) in sites of preneoplastic lesions, exacerbating local inflammation. Tumor growth is paralleled by the gradual inhibition of NF-κB in infiltrating macrophages, favoring a phenotypic switch toward M2 suppressive cells (TNF-αlow, IL-1low, IL-12low, IL-10high, and TGF-βhigh) [4, 59, 60]. In this study, using RAW 246.7 cells constitutively expressing NF-κB-dependent luciferase reporter gene (RAW luc), we observed that macrophage activation induced by jacalin involves the NF-κB signaling pathway. The ability of jacalin to induce NF-κB activation and the production of proinflammatory cytokines by macrophages supports the hypothesis that the lectin is a molecule that drives/skews TAM polarization toward a tumoricidal phenotype.

Although macrophages predominantly produced proinflammatory cytokines in response to jacalin stimulation, these cells also produced considerable amounts of IL-10. It is conceivable that these cells do not assume the classical M1 phenotype but, instead, polarize to an intermediate phenotype close to M1. These results may reflect the more complex situation that usually occurs in tumor microenvironment where diverse stimuli coexist and can be combined, inducing macrophages to polarize into phenotypes that differ in terms of cytokine production and expression of MHC and costimulatory molecules or receptors [61]. Indeed, in human and experimental tumors, macrophages have been shown to exhibit mixed phenotypes, expressing both M1 and M2 markers [6, 62]. Macrophages expressing high levels of both inducible nitric oxide synthase (M1 marker) and arginase-1 (M2 marker) have been described in mouse models of colon carcinoma and sarcoma [63]. Therefore, the distinction between M1 and M2 macrophages represents two extremes and does not reflect the total spectrum of phenotypes that macrophages can adopt [64].

Given that jacalin had no direct cytotoxic effects on tumor cells but induced macrophages to potentially express tumoricidal activities, we evaluated the effects of supernatants from jacalin-stimulated macrophages on tumor cell viability. Incubation of HT-29 and MCF-7 cells with the supernatants resulted in significant inhibition of cell proliferation and in cell death. We hypothesize that the high levels of proinflammatory mediators present in the supernatants, particularly TNF, induced tumor cell death. Indeed, TNF-α is known to induce tumor cell apoptosis [65]. However, jacalin was not able to induce TRAIL expression on macrophages, a known death ligand important for tumor killing [66]. Furthermore, jacalin stimulation increased MIP-1α mRNA expression, a molecule that can further amplify the proinflammatory response induced by jacalin. In agreement with our results, Dumont and coworkers (2008) have shown that the supernatants from LPS-activated, therefore M1-like macrophages, contained high levels of proinflammatory cytokines such as GM-CSF, IL-1β, IL-6, IL-8, and TNF-α and exhibited growth inhibitory activities on human colon adenocarcinoma cells [54].

In a recent study by our group using a mouse model of chemically induced colon carcinogenesis, we showed that tumor-bearing animals treated with jacalin produced increased levels of proinflammatory cytokines such as IL-1β, TNF, IL-12, and IFN-γ. The proinflammatory activity exerted by jacalin was associated with decreased proliferation and increased apoptosis of tumor cells (Geraldino et al., submitted). These results corroborate those found in the current investigation, suggesting that jacalin exerts proinflammatory, antitumor activities.

Because targeting macrophages either by ablation or repolarization toward the M1 phenotype may potentiate cancer therapy, TAMs have been increasingly considered as potential targets for antitumor therapy [6772]. However, therapeutic approaches targeting these cells may have systemic toxicities, as they will also affect macrophages outside the tumor microenvironment. Therefore, it is imperative to find molecules that are capable of targeting specifically TAM. Based on the fact that jackfruit seeds are edible and form part of the diet in the tropics [73, 74], the fact that jacalin is specific for the cancer-associated Thomsen-Friedenreich (T) carbohydrate antigen and, as we show here, the fact that this lectin is able to activate macrophages toward a tumoricidal phenotype, jacalin would be a suitable candidate for adjuvant cancer therapy. Considering the complex interplay between TAMs and tumor cells, a better understanding of the regulation of protumor or antitumor functions of macrophages is essential for the development of innovative anticancer strategies.

Competing Interests

The authors declare that they have no competing interests.


This study received financial support from FAPESP (Process no. 2013/04088-0). The authors thank Mrs. S. M. O. Thomaz and Mrs. P. Vendruscolo for skillful technical assistance. Cláudia Danella Polli received a fellowship from FAPESP.


  1. C.-R. Yang, S.-L. Hsieh, F.-M. Ho, and W.-W. Lin, “Decoy receptor 3 increases monocyte adhesion to endothelial cells via NF-κB-dependent up-regulation of intercellular adhesion molecule-1, VCAM-1, and IL-8 expression,” Journal of Immunology, vol. 174, no. 3, pp. 1647–1656, 2005. View at: Publisher Site | Google Scholar
  2. L. M. Coussens and Z. Werb, “Inflammation and cancer,” Nature, vol. 420, no. 6917, pp. 860–867, 2002. View at: Publisher Site | Google Scholar
  3. G. Solinas, G. Germano, A. Mantovani, and P. Allavena, “Tumor-associated macrophages (TAM) as major players of the cancer-related inflammation,” Journal of Leukocyte Biology, vol. 86, no. 5, pp. 1065–1073, 2009. View at: Publisher Site | Google Scholar
  4. A. Sica, P. Larghi, A. Mancino et al., “Macrophage polarization in tumour progression,” Seminars in Cancer Biology, vol. 18, no. 5, pp. 349–355, 2008. View at: Publisher Site | Google Scholar
  5. Q.-W. Zhang, L. Liu, C.-Y. Gong et al., “Prognostic significance of tumor-associated macrophages in solid tumor: a meta-analysis of the literature,” PLoS ONE, vol. 7, no. 12, Article ID e50946, 2012. View at: Publisher Site | Google Scholar
  6. C. E. Lewis and J. W. Pollard, “Distinct role of macrophages in different tumor microenvironments,” Cancer Research, vol. 66, no. 2, pp. 605–612, 2006. View at: Publisher Site | Google Scholar
  7. S. K. Biswas and A. Mantovani, “Macrophage plasticity and interaction with lymphocyte subsets: cancer as a paradigm,” Nature Immunology, vol. 11, no. 10, pp. 889–896, 2010. View at: Publisher Site | Google Scholar
  8. A. Mantovani, B. Bottazzi, F. Colotta, S. Sozzani, and L. Ruco, “The origin and function of tumor-associated macrophages,” Immunology Today, vol. 13, no. 7, pp. 265–270, 1992. View at: Publisher Site | Google Scholar
  9. A. Mantovani, S. K. Biswas, M. R. Galdiero, A. Sica, and M. Locati, “Macrophage plasticity and polarization in tissue repair and remodelling,” Journal of Pathology, vol. 229, no. 2, pp. 176–185, 2013. View at: Publisher Site | Google Scholar
  10. M. R. Galdiero, C. Garlanda, S. Jaillon, G. Marone, and A. Mantovani, “Tumor associated macrophages and neutrophils in tumor progression,” Journal of Cellular Physiology, vol. 228, no. 7, pp. 1404–1412, 2013. View at: Publisher Site | Google Scholar
  11. E. Gorelik, U. Galili, and A. Raz, “On the role of cell surface carbohydrates and their binding proteins (lectins) in tumor metastasis,” Cancer and Metastasis Reviews, vol. 20, no. 3-4, pp. 245–277, 2001. View at: Publisher Site | Google Scholar
  12. R. Mody, S. H. A. Joshi, and W. Chaney, “Use of lectins as diagnostic and therapeutic tools for cancer,” Journal of Pharmacological and Toxicological Methods, vol. 33, no. 1, pp. 1–10, 1995. View at: Publisher Site | Google Scholar
  13. E. G. De Mejía and V. I. Prisecaru, “Lectins as bioactive plant proteins: a potential in cancer treatment,” Critical Reviews in Food Science and Nutrition, vol. 45, no. 6, pp. 425–445, 2005. View at: Publisher Site | Google Scholar
  14. L. Heinzerling, V. von Baehr, C. Liebenthal, R. Von Baehr, and H.-D. Volk, “Immunologic effector mechanisms of a standardized mistletoe extract on the function of human monocytes and lymphocytes in vitro, ex vivo, and in vivo,” Journal of Clinical Immunology, vol. 26, no. 4, pp. 347–359, 2006. View at: Publisher Site | Google Scholar
  15. S. H. Choi, S. Y. Lyu, and W. B. Park, “Mistletoe lectin induces apoptosis and telomerase inhibition in human A253 cancer cells through dephosphorylation of Akt,” Archives of Pharmacal Research, vol. 27, no. 1, pp. 68–76, 2004. View at: Publisher Site | Google Scholar
  16. S. Narayanan, K. Surendranath, N. Bora, A. Surolia, and A. A. Karande, “Ribosome inactivating proteins and apoptosis,” FEBS Letters, vol. 579, no. 6, pp. 1324–1331, 2005. View at: Publisher Site | Google Scholar
  17. M. G. Battelli, “Cytotoxicity and toxicity to animals and humans of ribosome-inactivating proteins,” Mini-Reviews in Medicinal Chemistry, vol. 4, no. 5, pp. 513–521, 2004. View at: Publisher Site | Google Scholar
  18. H.-Y. Lei and C.-P. Chang, “Induction of autophagy by concanavalin A and its application in anti-tumor therapy,” Autophagy, vol. 3, no. 4, pp. 402–404, 2007. View at: Publisher Site | Google Scholar
  19. B. Liu, G.-W. Min, and J.-K. Bao, “Induction of apoptosis by concanavalin A and its molecular mechanisms in cancer cells,” Autophagy, vol. 5, no. 3, pp. 432–433, 2009. View at: Publisher Site | Google Scholar
  20. J. Pratt and B. Annabi, “Induction of autophagy biomarker BNIP3 requires a JAK2/STAT3 and MT1-MMP signaling interplay in Concanavalin-A-activated U87 glioblastoma cells,” Cellular Signalling, vol. 26, no. 5, pp. 917–924, 2014. View at: Publisher Site | Google Scholar
  21. B. Roy, A. K. Pattanaik, J. Das et al., “Role of PI3K/Akt/mTOR and MEK/ERK pathway in concanavalin A induced autophagy in HeLa cells,” Chemico-Biological Interactions, vol. 210, no. 1, pp. 96–102, 2014. View at: Publisher Site | Google Scholar
  22. L. Bergmann, S. Aamdal, S. Marreaud et al., “Phase I trial of r viscumin (INN: aviscumine) given subcutaneously in patients with advanced cancer: a study of the European Organisation for Research and Treatment of Cancer (EORTC protocol number 13001),” European Journal of Cancer, vol. 44, no. 12, pp. 1657–1662, 2008. View at: Publisher Site | Google Scholar
  23. A. Kirsch and T. Hajto, “Case reports of sarcoma patients with optimized lectin-oriented mistletoe extract therapy,” Journal of Alternative and Complementary Medicine, vol. 17, no. 10, pp. 973–979, 2011. View at: Publisher Site | Google Scholar
  24. U. Trefzer, R. Gutzmer, T. Wilhelm et al., “Treatment of unresectable stage IV metastatic melanoma with aviscumine after anti-neoplastic treatment failure: a phase II, multi-centre study,” Journal for ImmunoTherapy of Cancer, vol. 2, p. 27, 2014. View at: Publisher Site | Google Scholar
  25. C. R. Gattass, I. Ghobrial, and M. M. Bunn-Moreno, “Specific inhibition of OKT8 binding to peripheral blood mononuclear cells by jacalin,” Immunology Letters, vol. 17, no. 2, pp. 133–138, 1988. View at: Publisher Site | Google Scholar
  26. R. Kulshreshtha, M. Ferracin, S. E. Wojcik et al., “A microRNA signature of hypoxia,” Molecular and Cellular Biology, vol. 27, no. 5, pp. 1859–1867, 2007. View at: Publisher Site | Google Scholar
  27. E. Blasco, A. Barra, M. Nicolas, J.-C. Lecron, J. Wijdenes, and J.-L. Preud'homme, “Proliferative response of human CD4+ T lymphocytes stimulated by the lectin jacalin,” European Journal of Immunology, vol. 25, no. 7, pp. 2010–2018, 1995. View at: Publisher Site | Google Scholar
  28. B. Chatterjee, P. Vaith, S. Chatterjee, D. Karduck, and G. Uhlenbruck, “Comparative studies of new marker lectins for alkali-labile and alkali-stable carbohydrate chains in glycoproteins,” International Journal of Biochemistry, vol. 10, no. 4, pp. 321–327, 1979. View at: Publisher Site | Google Scholar
  29. M. E. A. Pereira, M. A. Loures, F. Villalta, and A. F. B. Andrade, “Lectin receptors as markers for Trypanosoma cruzi. Developmental stages and a study of the interaction of wheat germ agglutinin with sialic acid residues on epimastigote cells,” Journal of Experimental Medicine, vol. 152, no. 5, pp. 1375–1392, 1980. View at: Publisher Site | Google Scholar
  30. M. M. Bunn-Moreno and A. Campos-Neto, “Lectin(s) extracted from seeds of Artocarpus integrifolia (jackfruit): potent and selective stimulator(s) of distinct human T and B cell functions,” Journal of Immunology, vol. 127, no. 2, pp. 427–429, 1981. View at: Google Scholar
  31. M. V. Sastry, P. Banarjee, S. R. Patanjali, M. J. Swamy, G. V. Swarnalatha, and A. Surolia, “Analysis of saccharide binding to Artocarpus integrifolia lectin reveals specific recognition of T-antigen (beta-D-Gal(13)D-GalNAc),” The Journal of Biological Chemistry, vol. 261, no. 25, pp. 11726–11733, 1986. View at: Google Scholar
  32. D. Zupančič, M. E. Kreft, and R. Romih, “Selective binding of lectins to normal and neoplastic urothelium in rat and mouse bladder carcinogenesis models,” Protoplasma, vol. 251, no. 1, pp. 49–59, 2014. View at: Publisher Site | Google Scholar
  33. G. Pandey, T. Fatma, S. M. Cowsik, and S. S. Komath, “Specific interaction of jacalin with phycocyanin, a fluorescent phycobiliprotein,” Journal of Photochemistry and Photobiology B: Biology, vol. 97, no. 2, pp. 87–93, 2009. View at: Publisher Site | Google Scholar
  34. K. Ueda, Y. Fukase, T. Katagiri et al., “Targeted serum glycoproteomics for the discovery of lung cancer-associated glycosylation disorders using lectin-coupled ProteinChip arrays,” Proteomics, vol. 9, no. 8, pp. 2182–2192, 2009. View at: Publisher Site | Google Scholar
  35. G. Obaid, I. Chambrier, M. J. Cook, and D. A. Russell, “Targeting the oncofetal thomsen-friedenreich disaccharide using jacalin-PEG phthalocyanine gold nanoparticles for photodynamic cancer therapy,” Angewandte Chemie—International Edition, vol. 51, no. 25, pp. 6158–6162, 2012. View at: Publisher Site | Google Scholar
  36. G. Obaid, I. Chambrier, M. J. Cook, and D. A. Russell, “Cancer targeting with biomolecules: a comparative study of photodynamic therapy efficacy using antibody or lectin conjugated phthalocyanine-PEG gold nanoparticles,” Photochemical and Photobiological Sciences, vol. 14, no. 4, pp. 737–747, 2015. View at: Publisher Site | Google Scholar
  37. K. B. Ayaz Ahmed, A. S. Mohammed, and A. Veerappan, “Interaction of sugar stabilized silver nanoparticles with the T-antigen specific lectin, jacalin from Artocarpus integrifolia,” Spectrochimica Acta A: Molecular and Biomolecular Spectroscopy, vol. 145, pp. 110–116, 2015. View at: Publisher Site | Google Scholar
  38. V. S. Marangoni, I. M. Paino, and V. Zucolotto, “Synthesis and characterization of jacalin-gold nanoparticles conjugates as specific markers for cancer cells,” Colloids and Surfaces B: Biointerfaces, vol. 112, pp. 380–386, 2013. View at: Publisher Site | Google Scholar
  39. A. Almogren, J. Abdullah, K. Ghapure, K. Ferguson, V. V. Glinsky, and K. Rittenhouse-Olson, “Anti-Thomsen-Friedenreich-Ag (anti-TF-Ag) potential for cancer therapy,” Frontiers in Bioscience, vol. 4, no. 3, pp. 840–863, 2012. View at: Google Scholar
  40. S. K. Khaldoyanidi, V. V. Glinsky, L. Sikora et al., “MDA-MB-435 human breast carcinoma cell homo- and heterotypic adhesion under flow conditions is mediated in part by Thomsen-Friedenreich antigen-galectin-3 interactions,” The Journal of Biological Chemistry, vol. 278, no. 6, pp. 4127–4134, 2003. View at: Publisher Site | Google Scholar
  41. L.-G. Yu, L. C. Packman, M. Weldon, J. Hamlett, and J. M. Rhodes, “Protein phosphatase 2A, a negative regulator of the ERK signaling pathway, is activated by tyrosine phosphorylation of putative HLA class II-associated protein I (PHAPI)/pp32 in response to the antiproliferative lectin, jacalin,” Journal of Biological Chemistry, vol. 279, no. 40, pp. 41377–41383, 2004. View at: Publisher Site | Google Scholar
  42. L.-G. Yu, “The oncofetal Thomsen-Friedenreich carbohydrate antigen in cancer progression,” Glycoconjugate Journal, vol. 24, no. 8, pp. 411–420, 2007. View at: Publisher Site | Google Scholar
  43. A. A. Sahasrabuddhe, N. Ahmed, and M. V. Krishnasastry, “Stress-induced phosphorylation of caveolin-1 and p38, and down-regulation of EGFr and ERK by the dietary lectin jacalin in two human carcinoma cell lines,” Cell Stress and Chaperones, vol. 11, no. 2, pp. 135–147, 2006. View at: Google Scholar
  44. M. Weber, C. Iliopoulos, P. Moebius et al., “Prognostic significance of macrophage polarization in early stage oral squamous cell carcinomas,” Oral Oncology, vol. 52, pp. 75–84, 2016. View at: Publisher Site | Google Scholar
  45. T. Yamaguchi, S. Fushida, Y. Yamamoto, T. Tsukada, J. Kinoshita, K. Oyama et al., “Tumor-associated macrophages of the M2 phenotype contribute to progression in gastric cancer with peritoneal dissemination,” Gastric Cancer, 2015. View at: Publisher Site | Google Scholar
  46. M. Lundholm, C. Hägglöf, M. L. Wikberg et al., “Secreted factors from colorectal and prostate cancer cells skew the immune response in opposite directions,” Scientific Reports, vol. 5, Article ID 15651, 2015. View at: Publisher Site | Google Scholar
  47. S. A. Almatroodi, C. F. McDonald, I. A. Darby, and D. S. Pouniotis, “Characterization of M1/M2 tumour-associated macrophages (TAMs) and Th1/Th2 cytokine profiles in patients with NSCLC,” Cancer Microenvironment, 2015. View at: Publisher Site | Google Scholar
  48. J. W. Pollard, “Tumour-educated macrophages promote tumour progression and metastasis,” Nature Reviews Cancer, vol. 4, no. 1, pp. 71–78, 2004. View at: Publisher Site | Google Scholar
  49. Y. Nakayama, N. Nagashima, N. Minagawa et al., “Relationships between tumor-associated macrophages and clinicopathological factors in patients with colorectal cancer,” Anticancer Research, vol. 22, no. 6, pp. 4291–4296, 2002. View at: Google Scholar
  50. S.-Y. Tan, Y. Fan, H.-S. Luo, Z.-X. Shen, Y. Guo, and L.-J. Zhao, “Prognostic significance of cell infiltrations of immunosurveillance in colorectal cancer,” World Journal of Gastroenterology, vol. 11, no. 8, pp. 1210–1214, 2005. View at: Publisher Site | Google Scholar
  51. K. Y. Jung, S. W. Cho, Y. A. Kim et al., “Cancers with higher density of tumor-associated macrophages were associated with poor survival rates,” Journal of Pathology and Translational Medicine, vol. 49, no. 4, pp. 318–324, 2015. View at: Publisher Site | Google Scholar
  52. J. Forssell, Å. Öberg, M. L. Henriksson, R. Stenling, A. Jung, and R. Palmqvist, “High macrophage infiltration along the tumor front correlates with improved survival in colon cancer,” Clinical Cancer Research, vol. 13, no. 5, pp. 1472–1479, 2007. View at: Publisher Site | Google Scholar
  53. M. Kinouchi, K. Miura, T. Mizoi et al., “Infiltration of CD40-positive tumor-associated macrophages indicates a favorable prognosis in colorectal cancer patients,” Hepato-Gastroenterology, vol. 60, no. 122, pp. 83–88, 2013. View at: Publisher Site | Google Scholar
  54. P. Dumont, A. Berton, N. Nagy et al., “Expression of galectin-3 in the tumor immune response in colon cancer,” Laboratory Investigation, vol. 88, no. 8, pp. 896–906, 2008. View at: Publisher Site | Google Scholar
  55. G. Cairo, S. Recalcati, A. Mantovani, and M. Locati, “Iron trafficking and metabolism in macrophages: contribution to the polarized phenotype,” Trends in Immunology, vol. 32, no. 6, pp. 241–247, 2011. View at: Publisher Site | Google Scholar
  56. A. Mantovani, S. Sozzani, M. Locati, P. Allavena, and A. Sica, “Macrophage polarization: tumor-associated macrophages as a paradigm for polarized M2 mononuclear phagocytes,” Trends in Immunology, vol. 23, no. 11, pp. 549–555, 2002. View at: Publisher Site | Google Scholar
  57. T. P. Shanley, H. Schmal, H. P. Friedl, M. L. Jones, and P. A. Ward, “Role of macrophage inflammatory protein-1α (MIP-1α) in acute lung injury in rats,” Journal of Immunology, vol. 154, no. 9, pp. 4793–4802, 1995. View at: Google Scholar
  58. Y. Ben-Neriah and M. Karin, “Inflammation meets cancer, with NF-κB as the matchmaker,” Nature Immunology, vol. 12, no. 8, pp. 715–723, 2011. View at: Publisher Site | Google Scholar
  59. A. Mantovani and A. Sica, “Macrophages, innate immunity and cancer: balance, tolerance, and diversity,” Current Opinion in Immunology, vol. 22, no. 2, pp. 231–237, 2010. View at: Publisher Site | Google Scholar
  60. S. K. Biswas and C. E. Lewis, “NF-κB as a central regulator of macrophage function in tumors,” Journal of Leukocyte Biology, vol. 88, no. 5, pp. 877–884, 2010. View at: Publisher Site | Google Scholar
  61. A. Sica, T. Schioppa, A. Mantovani, and P. Allavena, “Tumour-associated macrophages are a distinct M2 polarised population promoting tumour progression: potential targets of anti-cancer therapy,” European Journal of Cancer, vol. 42, no. 6, pp. 717–727, 2006. View at: Publisher Site | Google Scholar
  62. J. A. Van Ginderachter, K. Movahedi, G. Hassanzadeh Ghassabeh et al., “Classical and alternative activation of mononuclear phagocytes: picking the best of both worlds for tumor promotion,” Immunobiology, vol. 211, no. 6–8, pp. 487–501, 2006. View at: Publisher Site | Google Scholar
  63. S. Kusmartsev and D. I. Gabrilovich, “STAT1 signaling regulates tumor-associated macrophage-mediated T cell deletion,” Journal of Immunology, vol. 174, no. 8, pp. 4880–4891, 2005. View at: Publisher Site | Google Scholar
  64. A. Sica and A. Mantovani, “Macrophage plasticity and polarization: in vivo veritas,” The Journal of Clinical Investigation, vol. 122, no. 3, pp. 787–795, 2012. View at: Publisher Site | Google Scholar
  65. A. Vaculová, J. Hofmanova, K. Souček, M. Kovařiková, and A. Kozubík, “Tumor necrosis factor-alpha induces apoptosis associated with poly(ADP-ribose) polymerase cleavage in HT-29 colon cancer cells,” Anticancer Research, vol. 22, no. 3, pp. 1635–1639, 2002. View at: Google Scholar
  66. S. R. Wiley, K. Schooley, P. J. Smolak et al., “Identification and characterization of a new member of the TNF family that induces apoptosis,” Immunity, vol. 3, no. 6, pp. 673–682, 1995. View at: Publisher Site | Google Scholar
  67. K. N. Kodumudi, K. Woan, D. L. Gilvary, E. Sahakian, S. Wei, and J. Y. Djeu, “A novel chemoimmunomodulating property of docetaxel: suppression of myeloid-derived suppressor cells in tumor bearers,” Clinical Cancer Research, vol. 16, no. 18, pp. 4583–4594, 2010. View at: Publisher Site | Google Scholar
  68. C. Rolny, M. Mazzone, S. Tugues et al., “HRG inhibits tumor growth and metastasis by inducing macrophage polarization and vessel normalization through downregulation of PlGF,” Cancer Cell, vol. 19, no. 1, pp. 31–44, 2011. View at: Publisher Site | Google Scholar
  69. G. L. Beatty, E. G. Chiorean, M. P. Fishman et al., “CD40 agonists alter tumor stroma and show efficacy against pancreatic carcinoma in mice and humans,” Science, vol. 331, no. 6024, pp. 1612–1616, 2011. View at: Publisher Site | Google Scholar
  70. H. Shime, M. Matsumoto, H. Oshiumi et al., “Toll-like receptor 3 signaling converts tumorsupporting myeloid cells to tumoricidal effectors,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 6, pp. 2066–2071, 2012. View at: Publisher Site | Google Scholar
  71. X. Cai, Y. Yin, N. Li et al., “Re-polarization of tumor-associated macrophages to pro-inflammatory M1 macrophages by microRNA-155,” Journal of Molecular Cell Biology, vol. 4, no. 5, pp. 341–343, 2012. View at: Publisher Site | Google Scholar
  72. S. M. Pyonteck, L. Akkari, A. J. Schuhmacher et al., “CSF-1R inhibition alters macrophage polarization and blocks glioma progression,” Nature Medicine, vol. 19, no. 10, pp. 1264–1272, 2013. View at: Publisher Site | Google Scholar
  73. S. B. Swami, N. J. Thakor, P. M. Haldankar, and S. B. Kalse, “Jackfruit and its many functional components as related to human health: a review,” Comprehensive Reviews in Food Science and Food Safety, vol. 11, no. 6, pp. 565–576, 2012. View at: Publisher Site | Google Scholar
  74. F. Ocloo, D. Bansa, R. Boatin, T. Adom, and W. Agbemavor, “Physico-chemical, functional and pasting characteristics of flour produced from Jackfruits (Artocarpus heterophyllus) seeds,” Agriculture and Biology Journal of North America, vol. 1, no. 5, pp. 903–908, 2010. View at: Publisher Site | Google Scholar

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