Abstract
Non-melanoma skin cancer (NMSC) has risen dramatically as a result of chronic exposure to sunlight ultraviolet (UV) radiation, climatic changes and clinical conditions associated with immunosuppression. In spite of considerable progress, our understanding of the mechanisms that control NMSC development and their associated molecular and immunological landscapes is still limited. Here we demonstrated a critical role for galectin-7 (Gal-7), a β-galactoside-binding protein preferentially expressed in skin tissue, during NMSC development. Transgenic mice (Tg46) overexpressing Gal-7 in keratinocytes showed higher number of papillomas compared to WT mice or mice lacking Gal-7 (Lgals7−/−) when subjected to a skin carcinogenesis protocol, in which tumor initiator 7,12-dimethylbenz[a]anthracene (DMBA) and tumor promoter 12-O-tetradecanoyl-phorbol-13-acetate (TPA) were sequentially administered. RNAseq analysis of Tg46 tumor lesions revealed a unique profile compatible with cells of the myelomonocytic lineage infiltrating these tumors, an effect that was substantiated by a higher number of CD11b+Gr1+ cells in tumor-draining lymph nodes. Heightened c-Met activation and Cxcl-1 expression in Tg46 lesions suggested a contribution of this pathway to the recruitment of these cells. Remarkably, Gal-7 bound to the surface of CD11b+Ly6ChiLy6Glo monocytic myeloid cells and enhanced their immunosuppressive activity, as evidenced by increased IL-10 and TGF-β1 secretion, and higher T-cell inhibitory activity. In vivo, carcinogen-treated Lgals7−/− animals adoptively transferred with Gal-7-conditioned monocytic myeloid cells developed higher number of papillomas, whereas depletion of these cells in Tg46-treated mice led to reduction in the number of tumors. Finally, human NMSC biopsies showed increased LGALS7 mRNA and Gal-7 protein expression and displayed transcriptional profiles associated with myeloid programs, accompanied by elevated CXCL1 expression and c-Met activation. Thus, Gal-7 emerges as a critical mediator of skin carcinogenesis and a potential therapeutic target in human NMSC.
Subject terms: Cancer microenvironment, Immune evasion, Glycobiology
Introduction
Over the past decades non-melanoma skin cancer (NMSC) has risen dramatically worldwide as a result of chronic exposure to sunlight ultraviolet (UV) radiation, climatic changes and clinical conditions associated with immunosuppression [1, 2]. Although surgical excision is the mainstay treatment option for NMSC, standard management strategy for follow-up therapies is still not established [3]. The limited efficacy of anti-NMSC agents [4, 5] urge further exploration of the molecular and immunological landscapes of NMSC aimed at designing selective therapeutic strategies targeting locally-dysregulated pathways.
Upon its continuous exposure to physical and chemical stimuli, the skin takes shelter in the dynamic cross-talk between keratinocytes (KC), melanocytes and immune cells to maintain homeostasis [6]. Eventually, environmental stimuli may induce genetic alterations and activate inflammatory programs that trigger the initial steps of carcinogenesis [2]. This multifaceted process requires the coordinated activation of numerous pathways controlling DNA damage repair, transcriptional regulation and inflammation leading to KC proliferation or death [7].
Galectins, a family of β-galactoside-binding proteins, control tumor progression by influencing different hallmarks of cancer cells including proliferation, angiogenesis, inflammation, immune evasion and metastasis [8] and modulating resistance to anticancer therapies [9]. Whereas galectins control diverse intracellular processes [10], they are also released to the extracellular space where they can cross-link cell surface glycoconjugates and trigger a myriad of cellular processes [11]. Galectin-7 (Gal-7; encoded by the LGALS7 gene) is preferentially expressed in stratified squamous epithelium of the skin, tongue, esophagus and rectal mucosa [12, 13], where it regulates KC proliferation and differentiation [14]. Originally described as a P53-inducible gene (PIG-1) [15], Gal-7 controls UVB-induced KC apoptosis [13, 16] and influences skin repair, wound healing and inflammation [16–20]. However, despite considerable progress, the precise role of Gal-7 in tumor biology remains poorly understood [21, 22]. Whereas high Gal-7 expression was associated with aggressive behavior, metastasis and tumor recurrence [23–32], inhibitory effects over tumor growth and progression have also been documented [33–37]. In head and neck SCC, expression of Gal-7 correlated with degree of tissue differentiation and keratinization [38]. Up-regulation of LGALS7 expression has been linked to activation of multiple transcriptional programs involved in tumor survival, metabolism and inflammatory responses [37].
Taken together, the preferential expression of Gal-7 in stratified skin epithelium, and the need of selective immunotherapies for NMSC, prompted us to investigate the role of this endogenous lectin in the pathogenesis of this tumor type. Here, using genetically-engineered mouse models with ablated or tissue-specific reinforced Gal-7 expression, and patient biopsies, we show essential roles of Gal-7 during the initial steps of skin carcinogenesis, highlighting its potential as a therapeutic target in NMSC.
Materials and methods
Mice
Mice lacking Gal-7 (Lgals7−/−; C57BL/6) or overexpressing Gal-7 in KCs (Tg46) were generated as described [16, 38]. Mgat5−/− and C2gnt1−/− (C57BL/6) mice were obtained from Jackson’s Laboratories (Bar Harbour, USA). Age-matched, 6–10-weeks old female mice were used. Mice were bred at the animal facilities of the Institute of Biology and Experimental Medicine (IBYME) according to NIH guidelines. All experimental procedures were approved by the Institutional Committee for the Care and Use of Laboratory Animals. The total number of animals, as well as the number of animals per group (n = 5) in each experiment were determined following the guidelines of the mentioned Committee. Age, sex, weight/body condition scores, and health status were considered to establish comparable experimental groups; no randomization method was used to allocate animals to experimental groups.
Short-term challenge with chemical stressors
Mice were treated topically on the ears or dorsal skin with 200 nmol of 7,12-dimethylbenz[a]anthracene (DMBA) or 20 nmol of 12-O-tetradecanoyl-phorbol-13-acetate (TPA) or exposed to UVB radiation (average dose 3.1 kJ/m2 UVB radiation, using a Waldmann UV 236 B (UV6) lamp with 2.62 mW/cm2 intensity at 20 cm, for 2 min). Mice not receiving treatment were kept as control. After 16 h, mice were euthanized, and the treated skin was processed (see Supplementary Materials and Methods) for real time qPCR, Western blot, immunohistochemistry and immunofluorescence analysis.
Chemical skin carcinogenesis and analysis of myeloid cell function
WT, Lgals7−/− and Tg46 mice were treated topically with 200 nmol DMBA followed by 20 nmol TPA twice a week for about three months, on shaved dorsal back area. For determinations of the role of MDSCs in Gal-7-driven skin carcinogenesis, after the first month, Lgals7−/− mice were injected weekly for the remaining two months with monocytic-myeloid-derived suppressor cells (M-MDSC; 1 × 106 cells/mouse, i.p) previously activated in the presence or absence of rGal-7. Tg46 animals were injected with the MDSC-depleting anti-DR5 monoclonal antibody (mAb) or isotype control (BioxCell; 150 μg/mouse, weekly). The anti-DR5mAb binds to mouse death receptor-5 (DR5, also known as CD262 and TRAIL-R2), a member of the TNF receptor superfamily, and induces TRAIL-mediated apoptosis of MDSCs [39]. Mice were monitored daily, and tumor volume, incidence and multiplicity were recorded twice a week. At the end of the protocol, animals were euthanized and processed for subsequent studies. No blinding to treatment assignment was used.
RNA-seq analysis
RNA from mouse skin papillomas (3 pooled tumors for each genotype) was isolated and purified using TRIzol reagent (Invitrogen) and RNeasy mini kit (Qiagen). After checking concentration and integrity (Agilent 2100 Bioanalyzer, Agilent Technologies), RNAs were processed for directional RNA-Seq library construction using the TruSeq RNA Sample Preparation Kit v2 (Illumina) according to the manufacturer protocol. We performed 75-nt paired-end sequencing using an Illumina HiSeq2500 platform at MedGenome Core Facility and obtained ~70 million tags per sample. QC and alignment of the short-read sequences against the human reference genome (mm10) were performed by the ShortRead [40] and Rsubread [41] R/Bioconductor packages respectively. Subsequently, the number of reads mapped to each gene on the basis of the UCSC.mm10. Known Gene database was counted, reported, and annotated using the Genomic Features, Genomic Alignments and org.Mm.eg.db packages. Raw datasets were submitted to NCBI GEO database (GSE165285). To identify genes differentially expressed in WT versus Lgals7−/− and Tg46 tumors, we used the DESeq2-test on the basis of the normalized number of reads mapped to each gene [42]. Functional enrichment analysis was performed using the Enrichr resource [43] and Cytoscape´s plugins ClueGo/CluePedia (http://www.cytoscape.org/) based on the list of dysregulated transcripts between samples (p < 0.05; FC > ±2). Quantification of the absolute abundance of immune and stromal cell populations was estimated using MCPcounter algorithm (https://github.com/ebecht/MCPcounter) based on RNA-seq data. Data integration and visualization of differentially expressed transcripts were done with R/Bioconductor.
Production and purification of recombinant Gal-7
Recombinant Gal-7 was obtained from a pGEX-27 plasmid (GeneScript) and purified using a lactosyl-Sepharose column essentially as described for rGal-1 [44]. In brief, E. coli BL21 (DE3) cells were transformed with expression plasmids constructed using pET expression systems (Novagen) and production of rGal-7 was induced by the addition of 1 mM isopropyl-D-thiogalactoside. Soluble fractions were obtained for subsequent purification by affinity chromatography on a lactosyl-Sepharose column (Sigma-Aldrich). LPS was carefully removed by Detoxi-Gel endotoxin-removing gel (Pierce), followed by analysis with a Gel Clot Limulus test (<0.5 I U/mg; Cape Code).
For in vitro bone marrow (BM)-MDSC differentiation, 20 μg/ml rGal-7 was used. For rGal-7 binding assays, labeling was performed following manufacturer’s recommendations. Briefly, 6 μl of modifier solution was added to 60 μl rGal-7 (1 mg/ml). Then the solution was incubated with the unbound fluorochrome for 15 min at 4 °C. Thereafter, 7 μl of quenching solution was added. Labeled rGal-7 was aliquoted and stored at 4 °C. Flow cytometry staining was performed with 10 μg/ml of labeled rGal-7. For binding assays 40 μg/ml of labeled rGal-7 was used (see below).
Flow cytometry
Single cell suspensions from skin, tumor, draining lymph nodes (dLN) and spleen were stained with fluorochrome-conjugated antibodies against CD11b (PA5-79532, ThermoFisher), CD4 (116005, BioLegend), CD8 (100726, BioLegend), CD25 (102011, BioLegend), Foxp3 (320105, BioLegend), Ly6C (128021, BioLegend) or Ly6G (127607, BioLegend) and appropriate isotype controls (BioLegend) for 30 min on ice. Cells were washed and fixed with 1% paraformaldehyde and analyzed on a FACSAriaIIu (BD Biosciences). The frequency of CD4+CD25+Foxp3+ regulatory T cells (Tregs) was determined using the mouse Treg staining kit (eBioscience).
Immunofluorescence
Tissue samples from ear or dorsal skin were embedded in OCT and frozen at −70 °C. Frozen tissue slides (20 μm) were fixed with 4% paraformaldehyde/PBS for 15 min followed by permeabilization and blocking with 0.2% Triton X-100, 10% FBS/PBS for 30 min at room temperature and stained with primary antibodies anti-Gal-7 (ab138513, Abcam), anti-CD11b (PA5-79532, ThermoFisher), anti-PCNA (sc-25280, Santa Cruz), anti-Gr1 (14-5931-81, eBioscience), Ly6C (128021, BioLegend) or Ly6G (127607, BioLegend) for 16 h at 4 °C. Slides were then washed in PBS and incubated with fluorochrome-conjugated secondary antibodies. To analyze Gal-7 binding to MDSCs, cells were differentiated from BM progenitors (as described below), activated with LPS (1 μg/ml; Invitrogen) for 16 h at 37 °C and incubated with rGal-7-PerCP/Cy5.5 (40 μg/ml), FITC-conjugated anti-Ly6C (green) and PE-conjugated anti-Ly6G (red) antibodies for 30 min. Cells were fixed with 4% paraformaldehyde/PBS for 15 min. Slides and cells were analyzed in an Olympus laser confocal microscope (Fluoview FV10i). At least 7 fields were analyzed for cell number and signal intensity.
Differentiation of BM-derived MDSCs
BM-derived progenitor cells were obtained from femurs of female C57BL/6 WT, C2gnt1−/− or Mgat5−/− mice (6–8 weeks-old). Cells were cultured in RPMI 1640 medium supplemented with 10% FBS, 1 mM HEPES (Life Technologies), 10 ng/ml granulocyte macrophage-colony stimulating factor (GM-CSF) (R&D Systems) and antibiotics/antimycotics for 4 days. After in vitro differentiation, cells were incubated with LPS (1 μg/ml; Invitrogen) for 16 h at 37 °C in the presence or absence of rGal-7 (20 μg/ml) or lactose (30 mM; Sigma). The phenotype of MDSCs was determined by flow cytometry as described [45]. MDSCs (2 × 104 cells) were co-cultured with C57BL/6 splenocytes (2 × 105 cells) in RPMI 1640 supplemented with 10% FBS, 50 μM 2-ME, 1 mM HEPES, anti-CD3 mAb (1 μg/ml), anti-CD28 mAb (1 μg/ml) and antibiotics/antimycotics for 4 days. The ability of MDSCs to control T-cell proliferation was assessed by flow cytometry following incubation with 1 μM 5(6)-carboxyfluoresceindiacetate N-succinimidyl ester (CFSE; eBioscience).
Cytokine assays
Mouse IL-12p70, IL-10, IL-1β and TGF-β1 ELISA sets (BD Biosciences) and mouse Gal-7 and IL-27p28 ELISA kits (R&D Systems) were used following manufacturer’s instructions.
Migration assays
M-MDSCs (1 × 105) were plated in 250 µl of DMEM on top of the filter membrane (8 µm) in a transwell insert, and 500 µl of conditioned media from Kera-308 previously treated or not with hepatocyte growth factor (HGF) alone or with anti-CXCL1 blocking antibody (see Supplementary Materials and Methods) were added into the bottom of the lower chamber in a 24-well plate. MDSCs were incubated for 16 h at 37 °C and 5% CO2 to allow cells to partially migrate towards the lower chamber. To quantify the number of migrated MDSCs in the lower layer of the transwell, the insert was removed from the plate and media. Then, remaining cells that have not migrated were removed from the top of the membrane using a cotton-tipped applicator. Transwells were incubated at room temperature for 2–5 min in a solution of Cristal Violet 0.5% and Methanol 20% in water (for staining and fixation). After removing crystal violet excess, transwell membranes were allowed to dry for 24 h. An inverted microscope was used to count cells (5 fields per membrane). Average number of cells that have migrated through the membrane and remain attached on the underside of the membrane was recorded. In addition, number of cells that have passed through the membrane to the lower chamber media were counted with a Neubauer Chamber and a Cell coulter. Cell migration analysis was performed under blind conditions. The estimated total number of migrated cells was calculated as follows: N of migrated M-MDSCs (transwell) = (Mean cell count in each field/0.002 cm2) * 0.33 cm2.
Data mining analysis of LGALS7 gene in human neoplastic diseases
For a comparative analysis of LGALS7 gene expression and copy number variation in different human cancers, data from 9,186 primary tumors and their associated normal adjacent tissue samples obtained from The Cancer Genome Atlas (TCGA) Pan-Cancer Analysis Project were analyzed. Clinical and pre-processed data (RNA-Seq RSEM normalized counts, CNV profiles) were retrieved from the UCSC Xena Browser (http://xena.ucsc.edu/). Data were integrated and visualized using the R software. A panel of NMSC lesions and normal skin samples (E-MTAB-5678; [46]) was also analyzed using the EdgeR R/Bioconductor package for data pre-processing of the RNA-Seq transcriptome provided as the number of counts mapped to each gene. Average LGALS7 and LGALS7B mRNA expression profiles (log2 count per millions) were employed for further statistical analysis with R software.
Skin tissue from NMSC patients and healthy donors
Formalin-fixed paraffin-embedded surgical skin specimens from NMSC patients and healthy donors were obtained from the Dermatology Department at Hospital Italiano (Buenos Aires, Argentina). Samples were obtained following patients’ informed consent, and protocols were approved by the Ethics Committee of Hospital Italiano and IBYME.
Statistical analysis
Prism software (GraphPad) was used for statistical analysis. Two groups were compared with the Student ´s t test for paired and unpaired data. Two-way ANOVA and Dunnett’s or Tukey post-tests were used for multiple comparisons. Nonparametric analysis was performed using Mann–Whitney U-test. P values of 0.05 or less were considered significant.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Results
Genotoxic and inflammatory insults trigger Gal-7 expression
Given the role of Gal-7 in skin homeostasis and inflammation [16–20], we first studied its regulated expression in response to different insults. scRNA-seq data analysis from Mouse Cell Atlas showed preferential expression of LGALS7 mRNA in keratinocytes (KCs; Supplementary Fig. S1A). Exposure to UVB radiation or topical administration of TPA or DMBA resulted in pronounced inflammation and increased epidermis thickness in mouse skin (Fig. 1A), as well as increased Gal-7 protein expression compared to non-treated mice (Fig. 1B, C). Gal-7 was localized both in the intracellular and extracellular compartments in treated mouse skin (primarily KCs) (Fig. 1D). Gal-7 expression also increased in human immortalized KCs (HaCaT) upon exposure to radiation or chemical stimuli (Fig. 1E, F), highlighting the importance of these factors in regulating Gal-7 expression in KCs.
Heightened Gal-7 expression accelerates and aggravates skin carcinogenesis
Given the sensitivity of Gal-7 to skin insults, we investigated its contribution to skin carcinogenesis using a two-stage skin carcinogenesis model. Tumor initiator DMBA and tumor promoter TPA were administered topically and sequentially in WT and Lgals7−/− mice, and in Tg46 mice, which constitutively express Gal-7 under the K14 promoter (Supplementary Fig. S1B). Lack of Gal-7 or its overexpression was confirmed by Western blot, ELISA and immunohistochemistry (Supplementary Fig. S1C–E). Interestingly, constitutive expression of Gal-7 in KCs (Tg46 mice) resulted in a higher number of papillomas per mouse (Fig. 2A) and an earlier appearance of tumors (Fig. 2B), compared to WT and Lgals7−/−animals. At day 60, almost 80% of Tg46 animals developed at least one tumor, compared to 50% of WT and 25% of Lgals7−/− mice (Fig. 2B), with a considerably higher number of tumors per animal from day 80 onwards. On the contrary, Lgals7−/− mice showed delayed occurrence of skin lesions compared to WT and Tg46 animals (Fig. 2B), and consistently low or even decreasing number of papillomas per mouse (Fig. 2A). Considerable differences were found between Tg46 and WT or Lgals7−/− animals in the total number of papillomas and particularly in lesions larger than 2 mm (Fig. 2C). A substantial increase in the number of Ki67+ cells, indicative of proliferative activity, was detected in papillomas from Tg46 compared to WT or Lgals7−/− mice at the end of the carcinogenesis process (Fig. 2D), which was accompanied by altered expression of K10 (a suprabasal restricted keratin), but not of the basal-restricted K14 (Fig. 2E). At that point, Gal-7 expression remained higher in Tg46 lesions compared to WT tumors both at the protein and mRNA levels (Fig. 2E and Supplementary Fig. S1F).
Gal-7 expression reprograms the immune landscape of non-melanoma skin tumors
To gain insights into the mechanisms underlying Gal-7-induced skin carcinogenesis, we next performed RNA-seq analysis in WT, Lgals7−/− and Tg46 mice skin papillomas, which revealed clusters of 240 and 264 genes differentially expressed in distinct mouse strains (Fig. 3A, B, and Supplementary RNAseq Datasheet 1). Despite isolated changes, no substantial alterations were observed in the expression of most skin-specific genes (Supplementary Fig. S1G). Noteworthy, the suprabasal-restricted proteins K1 and Repetin were identified as differentially expressed in papillomas from Tg46 animals compared to WT mice (p = 0.029 and p = 0.008, respectively), while the expression of basal-restricted K14 remained unaltered. No differences were found in the expression of other genes associated with KC differentiation (Supplementary Fig. S1G). Of note, gene modules related to T-cell differentiation (p = 0.005), regulation of inflammatory response (p = 0.005), cytokine signaling (p = 0.02), and cell cycle progression (p = 0.04) were enriched in Tg46 papillomas (Fig. 3C).
Given the central roles of galectins in reprogramming antitumor immunity [47] and the association of Gal-7 with an immune-related transcriptional profile (Fig. 3C), we then studied the impact of this lectin in shaping the immune landscape of skin tumors. RNAseq data showed a higher representation of cells of the myelo-monocytic lineage in tumors from Tg46 mice, compared to lesions from Lgals7−/− animals which were enriched in NK cells and cytotoxic T cells (Fig. 3E). Consistently, papillomas from Tg46 mice showed increased frequency of tumor-infiltrating CD11b+ cells (Fig. 3F). Flow cytometry analysis of tumor-infiltrating leukocytes showed increased percentage of cells expressing both CD11b and Gr-1 markers (CD11b+Gr1+cells), characteristic of myeloid-derived suppressor cells (MDSC) in Tg46 tumors (Fig. 3G). Accordingly, analysis of draining lymph nodes (dLNs) revealed a significantly higher percentage of CD11b+ cells in Tg46 mice compared with those from WT or Lgals7−/− mice (Fig. 3H). Despite a substantial drop in the percentage of effector CD8+ T cells in Tg46 versus WT or Lgals7−/− mice, no significant differences were observed in the percentage of CD4+CD25+Foxp3+ T regulatory (Treg) cells or in the CD8+/CD4+CD25+Foxp3+ ratio (which is indicative of the relationship of effector and Treg cell responses) among groups (Fig. 3H), highlighting the importance of Gal-7 in influencing the myeloid versus lymphoid T-cell compartments.
Seeking for possible mechanisms underlying the increased myeloid cell representation in the tumor microenvironment (TME) and tumor-dLN of Tg46 mice, we examined RNAseq data, which revealed increased transcription of chemokine and cytokine genes implicated in myeloid cell recruitment in lesions from Tg46 compared to those from WT mice (i.e., Cxcl1 and VEGFa), and in papillomas from WT mice compared with their KO counterpart (i.e., Cxcl1, Ccl7 and Clcc1; Fig. 4A). Particularly interesting, Cxcl1 expression pattern followed that of Gal-7. Accordingly, tumors overexpressing Gal-7 (Tg46) showed a considerably higher percentage of Cxcl1+ cells than WT papillomas, and even higher than Lgals7−/− tumors (Fig. 4B).
Through recruitment of CD11b+Gr1+ myeloid cells to the TME, Cxcl1 contributes to cancer survival and metastasis [48, 49]. Notably, Cxcl1 secretion may be controlled by activation of HGF receptor c-Met [49, 50], which aberrant signaling has been associated with cancer progression and invasion [51, 52]. Notably, exome-seq analysis of DNA from WT, Lgals7−/− and Tg46 mouse papillomas (Supplementary Dataset 2 Mutational Profiles) showed high variability of genomic missense mutations particularly localized in the c-Met gene in lesions from Tg46 mice (Fig. 4C). Indeed, Tg46 lesions presented the highest number of non-synonymous mutations on target genes described either as cancer-driver genes or as potential drivers, as defined by the IntOGene database (Fig. 4D and Supplementary Fig. S2A). Mutations in Tg46 tumors impinged on cancer driver genes mostly related to phosphoinositide 3-kinases (PI3K)-Akt signaling (e.g., c-Met) and DNA repair (e.g., Brca1) pathways (Fig. 4C, D and Supplementary Fig. S2B). Moreover, Tg46 papillomas showed an increased number of single base substitutions (Supplementary Fig. S2C) and a unique mutational profile characterized by a greater number of A > G:T> C transitions (p < 0.05), and lower number of A > C:T > G transversions (p < 0.05), compared with WT lesions (Supplementary Fig. S2D). Seeking for possible mechanisms that could explain genomic instability, the DNA repair protein PCNA was identified as a possible Gal-7 interacting partner in pull-down experiments followed by mass spectrometry analysis (Supplementary Fig. S2E). Co-immunoprecipitation (Fig. S2F) and immunofluorescence staining (Supplementary Fig. S2G) further supported this finding. Nevertheless, in in vitro functional assays, neither nucleotide excision repair (Supplementary Fig. S2H) nor mismatch repair (Supplementary Fig. S2I), which are PCNA-mediated mechanisms, were affected by augmented Gal-7 levels. Thus, alternative mechanisms might potentially be affected by Gal-7/PCNA interaction.
Given the association between c-Met pathway activation and Cxcl1-mediated recruitment of myeloid cells to the TME [49], the identification of mutated c-Met as a prominent cancer driver gene in Tg46 mouse papillomas (Fig. 4C, D) and the higher percentage of Cxcl1+ cells in these tumors (Fig. 4B), we then explored if abnormal c-Met activation could be responsible for the increased expression of Cxcl1. We found increased phosphorylation of c-Met in tumors (Fig. 4E), but not in normal skin (Fig. 4F) of Tg46 versus WT mice, and in WT versus Lgals7−/−mice. Notably, in the presence of HGF (c-Met ligand), KCs showed a significant increase in Cxcl1 expression (Fig. 4G), suggesting that c-Met activation may indeed control Cxcl1 expression in KCs. We then evaluated if increased Cxcl1 levels could be responsible, at least in part, for the greater number of infiltrating CD11b+ cells in migration assays. Although not statistically significant, supernatants from HGF-treated KCs increased migration of BM-derived MDSCs, compared to supernatants from untreated KCs; interestingly antibody-mediated Cxcl1 blockade attenuated this effect (Fig. 4H). Thus, c-Met activation driven-Cxcl1 expression might contribute, at least in part, to Gal-7-driven recruitment of myeloid cells to the TME.
Gal-7 impacts on the differentiation and immunosuppressive activity of tumor-infiltrating myeloid cells
Considering the prominent expression of Gal-7 in the extracellular skin microenvironment (Fig. 1D) and the higher frequency of CD11b+Gr1+ cells in tumors and tumor dLNs of Tg46 mice (Fig. 3G, H), we then investigated the impact of this lectin in the biology of these cells. Activation of BM-derived CD11b+ cells in the presence of rGal-7 led to a considerable increase in CD11b+Ly6ChiLy6Glo (monocytic MDSCs; M-MDSCs) and a reduction in CD11b+Ly6CloLy6Ghi cells (polymorphonuclear MDSCs; PMN-MDSCs) (Fig. 5A). Flow cytometry and confocal microscopy experiments confirmed association of Gal-7 to the surface of activated MDSCs (Fig. 5B, C). Gal-7 binding to MDSCs and further polarization toward a monocytic profile were both prevented by lactose, a galectin-specific disaccharide, suggesting the involvement of protein-glycan interactions in these effects (Fig. 5D, E). Accordingly, when we used BM progenitors from mice lacking Mgat5 (Mgat5−/−), an enzyme required for complex N-glycan branching, or from mice lacking C2gnT1 (C2gnt1−/−), a glycosyltransferase essential for core 2-O-glycan elongation, Gal-7 effects were prevented, suggesting the contribution of specific glyco-epitopes on Gal-7 function (Fig. 5F). Thus, Gal-7-glycan interactions may tilt MDSC polarization toward a monocytic (CD11b+Ly6ChiLy6Glo) profile.
Next, we characterized tumor-infiltrating leukocytes from mice subjected to the carcinogenesis protocol by flow cytometry. Although not statistically significant, results showed a trend toward a higher, M-MDSC/PMN-MDSC ratio in tumors overexpressing Gal-7 (Fig. 6A). Accordingly, analysis of tumor dLNs revealed a significantly higher percentage of M-MDSC, reduced frequency of PMN-MDSC and higher M-MDSC/PMN-MDSC ratio in tumor-bearing Tg46 mice compared with WT or Lgals7−/− mice (Fig. 6B). Thus, Gal-7 reprograms the TME not only by enhancing recruitment but also by modulating differentiation of M-MDSC.
To investigate the impact of Gal-7 in the immunosuppressive activity of M-MDSCs, these cells were exposed or not to rGal-7 during activation. Results revealed a selective increase in the secretion of immunosuppressive (IL-10, TGF-β1), but not pro-inflammatory (IL-12, IL-1β) cytokines (Fig. 6C). Moreover, BM-derived M-MDSCs exposed to rGal-7 showed increased immune inhibitory activity when added to splenocytes (Fig. 6D) or to purified CD4+ or CD8+ T cells (Fig. 6E). Furthermore, splenic M-MDSCs isolated from tumor-bearing Tg46 mice showed increased T-cell inhibitory activity, as compared with those from WT or Lgals7−/− mice (Fig. 6F). Thus, Gal-7-driven programs may tilt myeloid cell polarization toward a monocytic profile and accentuate their immunoregulatory function.
Myeloid cells are critical mediators of Gal-7-driven skin carcinogenesis
To investigate the relevance of Gal-7 in accelerating skin carcinogenesis through modulation of M-MDSCs activity in vivo, we activated these cells in the presence (M-MDSCs-Gal-7) or absence (M-MDSCs-C) of rGal-7 and inoculated them weekly into Lgals7−/− mice during the two-stage carcinogenesis protocol (Supplementary Fig. S3A). DMBA/TPA-treated Lgals7−/− animals adoptively transferred with M-MDSC-Gal-7 developed a considerably higher number of papillomas compared with Lgals7−/− mice receiving M-MDSC-C (Fig. 7A) and displayed a similar phenotype to that observed in DMBA/TPA-treated WT mice (Supplementary Fig. S3B). Notably, Lgals7−/− mice receiving M-MDSC-Gal-7, showed not only an earlier appearance of papillomas (Fig. 7B), but also an increased number of total papillomas, compared to those receiving M-MDSCs-C (Fig. 7C). Papillomas developed in Lgals7−/− mice which received M-MDSC-Gal-7 showed higher number of Ki67+ proliferating cells compared to tumors from mice injected with M-MDSC-C (Supplementary Fig. S3C). However, we detected a comparable intensity of K10 and K14 staining in different animal groups (Supplementary Fig. S3D). Analysis of tumor infiltrating cells revealed a higher M-MDSC frequency (% of Ly6ChiLy6Glo cells from infiltrating CD11b+ cells; Fig. 7D and Supplementary Fig. S3E) and a greater percentage of Tregs (CD25+Foxp3/CD4+cells), which led to a lower CD8+/CD4+CD25+Foxp3+ ratio, indicative of attenuated T cell responses (Fig. 7E and Supplementary Fig. S3E) in papillomas from Lgals7−/− animals receiving M-MDSC-Gal-7 compared with those receiving M-MDSC-C. Thus, Gal-7-educated M-MDSCs foster local immunosuppression and exacerbate skin carcinogenesis in vivo.
To further investigate the role of MDSCs as critical mediators of Gal-7-driven skin carcinogenesis, we depleted these cells in DMBA/TPA-treated Tg46 mice by weekly injection of anti-DR5 mAb (which induces TRAIL-mediated apoptosis of MDSCs) (Supplementary Fig. S3F). Depletion of 70% of M-MDSCs was confirmed in the spleen of tumor-bearing Tg46 mice (Supplementary Fig. S3G). Anti-DR5 mAb-treated Tg46 mice showed lower number of tumors per animal (Fig. 7F), delayed appearance of papillomas (Fig. 7G) and lower number of total tumors (Fig. 7H), compared to those treated with control mAb. Moreover, the number of Ki67+ cells, indicative of proliferative index, dropped significantly in lesions from anti-DR5 mAb-treated Tg46 mice (Supplementary Fig. S3H). However, we found comparable K10 and K14 expression in lesions from Tg46 mice regardless of mAb treatment (Supplementary Fig. S3I). Papillomas from anti-DR5 mAb-treated Tg46 mice showed reduced frequency of M-MDSCs and increased proportion of PMN-MDSCs, leading to a significant drop in the M-MDSC/PMN-MDSC ratio (Fig. 7I), and higher T effector/Treg ratio (CD8+/CD4+CD25+Foxp3+ ratio), indicative of greater effector T-cell responses, compared to those treated with the control mAb (Fig. 7J). Altogether these results highlight the relevance of myeloid cells as critical targets of the immunoregulatory activity of Gal-7 during skin carcinogenesis.
Heightened GAL-7 expression delineates malignant and pre-malignant lesions in human NMSC
Given the role of Gal-7 in mouse skin carcinogenesis, and the prominent expression of this lectin in human epithelial tumors (23; Supplementary Figs. S4A and S4B), we then investigated its relevance in human NMSC. RNAseq data analysis from a cohort of NMSC patients (E-MTAB-5678 dataset) revealed increased LGALS7 expression in neoplastic (intraepidermal carcinoma; IEC and squamous cell carcinoma; SCC) and pre-neoplastic (actinic keratosis; AK) lesions compared to normal tissue (Fig. 8A). Immunohistochemistry of tissue samples from a cohort of NMSC patients showed a substantial increase in GAL-7 protein expression in pre-malignant and malignant lesions compared with healthy skin tissue (Fig. 8B), substantiating transcriptional data. Notably, no significant variations were found in the transcriptional profile of other members of the galectin family commonly involved in tumorigenesis, between neoplastic, pre-neoplastic and healthy skin (Supplementary Fig. S4C). Thus, heightened GAL-7 expression may represent an early hallmark of carcinogenesis in human NMSC.
In line with our findings in murine carcinogenesis, NMSC malignant lesions showed enrichment in myeloid cell components as evidenced by RNAseq data analysis (E-MTAB-5678) (Fig. 8C). Indeed, IEC, SCC and AK lesions exhibited up-regulation of genes associated with monocytic myeloid cells (CD11b and CD14) and down-regulation of granulocytic markers (CD66b and AQP9) compared to healthy skin tissue (Fig. 8D). Regarding myeloid-recruiting chemokines, higher expression of CXCL1, S100A8, CCL7 and CSF1 was observed in lesions from AK, IEC and SCC patients compared with normal skin tissue (Fig. 8E–F). We found a strong positive correlation between LGALS7 mRNA expression and transcription of CXCL1, S1008A, CCL7 and CSF1 in neoplasic skin lesions (Fig. 8G and Supplementary Fig. S4D), and higher CXCL1 expression in biopsies from NMSC patients compared to healthy skin (Fig. 8H). Interestingly, a slight increase in c-MET activation was also observed in NMSC lesions (Fig. 8H). Thus, increased GAL-7 expression in human NMSC correlates with enhanced representation of myeloid-associated programs in the TME.
Discussion
Identification of local immunoregulatory pathways that control the interplay between malignant skin lesions and their associated microenvironment is essential for designing novel therapeutic approaches [3]. In this study we report central roles for Gal-7, an endogenous glycan-binding protein highly expressed in stratified epithelia, in skin carcinogenesis, suggesting its potential as a therapeutic target in NMSC.
Galectins have emerged as regulatory checkpoints that foster immune evasive programs in different cancer types [8]. Whereas Gal-1, Gal-3 and Gal-9 can shape myeloid cell programs by inducing tolerogenic dendritic cells (DCs) [44, 53, 54], M2-type macrophages [55] and MDSCs [56–58], the role of Gal-7 in regulating antitumor immunity has not yet been dissected. Here, we show that heightened Gal-7 expression contributes to skin carcinogenesis by fostering immunosuppressive myeloid programs. We found that this lectin induces highly immunosuppressive M-MDSCs in the TME, thus providing a possible explanation for the poor T-cell stimulatory activity of myeloid cells in SCC patients [59]. In this regard, recent evidence identified Gal-7 as a pro-metastatic gene highly expressed in immunosuppressive SCC microenvironments [60]. Additional mechanisms underlying Gal-7 effects, such as those involving altered intracellular functions should be further explored.
Lectin-glycan interactions control multiple cell processes in the TME which impact in angiogenesis, immunosuppression and metastasis [61]. Accordingly, increased frequency of core 2 O-glycans and oligomannose N-glycans has been recently reported in human NMSC lesions [62] supporting their potential role in modulating cancer cell communication with the microenvironment. Interestingly, the fact that Gal-7 exhibits 11-fold weaker affinities for LacNAc residues as compared to Gal-1 and Gal-3 [63], suggest that Gal-7 effects would prevail in pathophysiologic conditions where the concentrations of this lectin are substantially higher, leading to lower competition for the same glyco-epitopes. In this regard only Gal-7, but not Gal-1 or Gal-3, was up-regulated in human skin SCC lesions, suggesting relevant roles for this lectin in NMSC development, and highlighting a possible biomarker to delineate KC lesions from other skin tumors.
Although Gal-7 has been originally identified in KCs [12, 13], its role in KC-derived tumors has not been fully explored. Our study showed that exposure in vitro or in vivo to environmental stressors, leading to skin inflammation and carcinogenesis, resulted in substantial up-regulation of Gal-7 expression. Indeed, UVB radiation [15, 64], and pro-inflammatory cytokines [65] were reported to control Gal-7 expression in the skin. In this regard, Gal-7 was implicated in epithelial cell migration, wound re-epithelialization, and protection from skin barrier impairment [17–19, 66]. Thus, Gal-7 up-regulation may represent an adaptive stress response aimed at restoring epithelial homeostasis. However, excessive levels of this lectin as a result of sustained environmental insults may contribute to initiate a pathologic process leading to carcinogenesis.
Gain-of-function experiments comparing the tumorigenesis process in Tg46 transgenic versus WT mice revealed that increased levels of Gal-7 in KCs were associated not only with earlier appearance of tumors, but also with higher number and size of lesions. On the contrary, the absence of this lectin in Lgals7−/−mice resulted in lower susceptibility to carcinogenesis and delayed occurrence of skin tumors compared to WT animals. Examination of possible underlying mechanisms revealed increased myeloid cell accumulation and greater M-MDSC/PMN-MDSC ratio in TME and tumor-dLN of Tg46 mice. MDSC play crucial roles in tumor progression through mechanisms involving suppression of innate and adaptive immune responses [67]. These immature myeloid cells characterized by high heterogeneity and plasticity, inhibit T cells fitness by releasing reactive oxygen and reactive nitrogen species, by activating key enzymes, by inducing expression of co-inhibitory receptors and sustaining expansion of Tregs [68]. Induction of immature myeloid cells has been proposed to contribute as an initial step in facilitation of skin tumor formation [69]. Here, we found that Gal-7 binding to myeloid cells enhances their immunosuppressive and pro-tumorigenic activities. Adoptive transfer of Gal-7-conditioned MDSCs accelerated skin carcinogenesis in Lgals7−/− mice, whereas depletion of these cells using an anti-DR5 mAb delayed appearance of papillomas in Tg46 mice, thus emphasizing the essential contribution of MDSCs to Gal-7-driven skin carcinogenesis.
Increased c-Met activation, eventually explained by the accumulation of specific mutations in its coding gene, was observed in Tg46 papillomas. Associations between c-Met signaling and development of skin SCC [70], as well as c-Met pathway activation and Cxcl1-mediated tumor recruitment of myeloid cells have been previously described [49]. Though further mechanistic analysis should be performed, our observations in mouse papillomas together with in vitro experiments, suggest that excessive c-Met activation could be responsible for increased Cxcl1 expression and the subsequent recruitment of MDSC to TME. We might then hypothesize that overexpression of Gal-7 beyond its normal levels may favor HGF-dependent or independent c-Met signaling, which might explain the apparent increase in Cxcl1 chemokine and its contribution to recruitment of MDSCs to skin lesions. Further examination of possible intracellular mechanisms driven by Gal-7 could provide alternative explanations for this effect. In this sense, the interaction with intracellular mediators of the HGF-c-Met pathway should not be ruled out. Indeed, intracellular Gal-7 was identified as a potential mechanism by which HGF counter-represses TGF-β-stimulated profibrogenic signal transduction [71]. The fact that other cancer-driver genes in addition to c-Met showed mutations in Tg46 papillomas, suggests that increased genomic instability might also serve as a possible mechanism implicated in this effect. In fact, a putative role of nuclear Gal-7 in DNA repair has been previously proposed [72]. In this sense, the identification of a possible interaction with PCNA, a central component of the DNA repair machinery, either directly or as a member of a molecular complex, might explain at least in part the increased mutation rate found in lesions from Tg46 mice. Thus, if confirmed, the role of enhanced Gal-7 expression in favoring genomic instability might prevail within the intracellular compartment, complementing or synergizing with the extracellular immunoregulatory activity of this lectin, to accelerate skin carcinogenesis.
Analysis of human samples and RNAseq data support these findings, suggesting that enhanced Gal-7 expression may represent an early hallmark of human non-melanoma cutaneous malignancies. Though further studies are required, the expression levels of Gal-7 as a possible prognostic tool in NMSC management can be glimpsed. In addition, an enrichment in transcriptional programs associated with monocytic myeloid cells, higher expression of CXCL1 -among other recruiting chemokines- as well as increased c-MET activation in lesions from AK, IEC and SCC patients compared with healthy skin, suggest that Gal-7 may trigger a regulatory circuit in human NMSC involving activation of innate immune programs in the skin TME.
In conclusion, our findings identify a Gal-7-driven pathway that impacts skin carcinogenesis by reprogramming innate immunosuppressive programs. Whereas steady-state levels of Gal-7 may control skin homeostasis [16], its heightened expression driven by sustained environmental insults may favor skin carcinogenesis. Through induction of inflammatory transcriptional programs, and eventually favoring genomic instability, Gal-7 sets up a suitable stage for tumor development, which could be further sustained by its immunosuppressive activity. Thus, targeting Gal-7 using glycan inhibitors [73], peptide antagonists [74] or specific anti-Gal-7 mAb similarly to those designed for other galectins [75] may contribute, either alone or in combination with other therapeutic strategies, to control skin carcinogenesis by reprogramming the local TME.
Supplementary information
Acknowledgements
This work was supported by grants from Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación (PICT V 2014-3687 and PICT 2017-0494 to GAR and PICT 2012-0164 and PICT 2015-0122 to JPC), as well as funding from Bunge & Born Foundation, Sales Foundation, René Baron Foundation and Richard Lounsbery Foundation to GAR. LJR was supported by Nordea-fonden and Olav Thon Foundation and PS was supported by a Chinese Scholarship Council. We thank Ferioli, Ostry and Caraballo families for kind donations.
Author contributions
JPC and GAR designed, conceptualized and supervised this study. NAP, LL and JMPS purified and characterized rGal-7, performed pull-down and real-time PCR assays and conducted in vitro and in vivo experiments. MCA performed out computational and bioinformatics studies. AGB and CAB contributed to myeloid cell experiments and NIT and FV contributed to biochemical analysis. MRM and SGG contributed to in vivo experiments. PS, JHF and LJR designed and performed MMR and UV irradiation assays. HJGR provided human samples and clinical expertise. NAP, LJR, VS, DOC, GAR and JPC analyzed and interpreted data. FP provided Lgals7−/− and Tg46 mice and expertise. VS, GAR and JPC drafted the article and revised it critically.
Data availability
All data are available within the text and Supplementary Material.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Martín C. Abba, Lorena Laporte.
Deceased: Francoise Poirier.
These authors jointly supervised this work: Victoria Sundblad, Gabriel A. Rabinovich, Juan P. Cerliani.
Contributor Information
Victoria Sundblad, Email: sundbladvictoria@gmail.com.
Gabriel A. Rabinovich, Email: gabyrabi@gmail.com
Supplementary information
The online version contains supplementary material available at 10.1038/s41418-022-01108-7.
References
- 1.Cancer incidence and mortality worldwide. Lyon, France: Global Cancer Observatory, International Agency for Research on Cancer. 2020. http://gco.iarc.fr.
- 2.Madan V, Lear JT, Szeimies RM. Non-melanoma skin cancer. Lancet. 2010;375:673–85. doi: 10.1016/S0140-6736(09)61196-X. [DOI] [PubMed] [Google Scholar]
- 3.Cives M, Mannavola F, Lospalluti L, Sergi MC, Cazzato G, Filoni E, et al. Non-melanoma skin cancers, biological and clinical features. Int J Mol Sci. 2020;21:5394. doi: 10.3390/ijms21155394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dummer R, Guminksi A, Gutzmer R, Lear JT, Lewis KD, Chang ALS, et al. Long-term efficacy and safety of sonidegib in patients with advanced basal cell carcinoma, 42-month analysis of the phase II randomized, double-blind BOLT study. Br J Dermatol. 2020;182:1369–78. doi: 10.1111/bjd.18552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wessely A, Steeb T, Leiter U, Garbe C, Berking C, Heppt MV. Immune checkpoint blockade in advanced cutaneous squamous cell carcinoma: what do we currently know in 2020? Int J Mol Sci. 2020;21:9300. doi: 10.3390/ijms21239300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pasparakis M, Haase I, Nestle FO. Mechanisms regulating skin immunity and inflammation. Nat Rev Immunol. 2014;14:289–301. doi: 10.1038/nri3646. [DOI] [PubMed] [Google Scholar]
- 7.Feehan RP, Shantz LM. Molecular signaling cascades involved in nonmelanoma skin carcinogenesis. Biochem J. 2016;473:2973–94. doi: 10.1042/BCJ20160471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Girotti MR, Salatino M, Dalotto-Moreno T, Rabinovich GA. Sweetening the hallmarks of cancer, Galectins as multifunctional mediators of tumor progression. J Exp Med. 2020;217:1–14.. doi: 10.1084/jem.20182041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Navarro P, Martínez-Bosch N, Blidner AG, Rabinovich GA. Impact of galectins in resistance to anticancer therapies. Clin. Cancer Res. 2020;26:6086–101. doi: 10.1158/1078-0432.CCR-18-3870. [DOI] [PubMed] [Google Scholar]
- 10.Liu FT, Patterson RJ, Wang JL. Intracellular functions of galectins. Biochim Biophys Acta. 2002;1572:263–73. doi: 10.1016/S0304-4165(02)00313-6. [DOI] [PubMed] [Google Scholar]
- 11.Lichtenstein RG, Rabinovich GA. Glycobiology of cell death: when glycans and lectins govern cell fate. Cell Death Differ. 2013;20:976–86. doi: 10.1038/cdd.2013.50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Magnaldo T, Fowlis D, Darmon M. Galectin-7, a marker of all types of stratified epithelia. Differentiation. 1998;63:159–68. doi: 10.1046/j.1432-0436.1998.6330159.x. [DOI] [PubMed] [Google Scholar]
- 13.Saussez S, Kiss R. Galectin-7. Cell Mol Life Sci. 2006;63:686–97. doi: 10.1007/s00018-005-5458-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chen HL, Chiang PC, Lo CH, Lo YH, Hsu DK, Chen HY, et al. Galectin-7 regulates keratinocyte proliferation and differentiation through JNK-miR-203-p63 signaling. J Investig Dermatol. 2016;136:182–91. doi: 10.1038/JID.2015.366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Polyak K, Xia Y, Zweier JL, Kinzler KW, Vogelstein B. A model for p53-induced apoptosis. Nature. 1997;389:300–5. doi: 10.1038/38525. [DOI] [PubMed] [Google Scholar]
- 16.Gendronneau G, Sidhu SS, Delacour D, Dang T, Calonne C, Houzelstein D, et al. Galectin-7 in the control of epidermal homeostasis after injury. Mol Biol Cell. 2008;19:5541–9. doi: 10.1091/mbc.e08-02-0166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Cao Z, Said N, Wu K, Kuwabara I, Liu F, Panjwani N. Galectin-7 as a potential mediator of corneal epithelial cell migration. Arch Ophthalmol. 2003;121:82–86. doi: 10.1001/archopht.121.1.82. [DOI] [PubMed] [Google Scholar]
- 18.Umayahara T, Shimauchi T, Iwasaki M, Sakabe JI, Aoshima M, Nakazawa S, et al. Protective role of Galectin-7 for skin barrier impairment in atopic dermatitis. Clin Exp Allergy. 2020;50:922–31. doi: 10.1111/cea.13672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Pinto N, Rabinovich GA, Sundblad V, Cerliani JP. Enhanced galectin-7 expression favors wound healing. J Dermatol. 2021;48:1616–8. doi: 10.1111/1346-8138.16048. [DOI] [PubMed] [Google Scholar]
- 20.Chen HL, Lo CH, Huang CC, Lu MP, Hu PY, Chen CS, et al. Galectin-7 downregulation in lesional keratinocytes contributes to enhanced IL-17A signaling and skin pathology in psoriasis. J Clin Invest. 2021;131:e130740. doi: 10.1172/JCI130740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Advedissian T, Deshayes F, Viguier M. Galectin-7 in epithelial homeostasis and carcinomas. Int J Mol Sci. 2017;18:1–31.. doi: 10.3390/ijms18122760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sewgobind NV, Albers S, Pieters RJ. Functions and inhibition of galectin-7, an emerging target in cellular pathophysiology. Biomolecules. 2021;11:1720. doi: 10.3390/biom11111720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Demers M, Couillard J, Giglia-Mari G, Magnaldo T, St-Pierre Y. Increased galectin-7 gene expression in lymphoma cells is under the control of DNA methylation. Biochem Biophys Res Commun. 2009;387:425–9. doi: 10.1016/j.bbrc.2009.07.015. [DOI] [PubMed] [Google Scholar]
- 24.Demers M, Rose AA, Grosset AA, Biron-Pain K, Gaboury L, Siegel PM, et al. Overexpression of galectin-7, a myoepithelial cell marker, enhances spontaneous metastasis of breast cancer cells. Am J Pathol. 2010;176:3023–31. doi: 10.2353/ajpath.2010.090876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zhu X, Ding M, Yu ML, Feng MX, Tan LJ, Zhao FK. Identification of galectin-7 as a potential biomarker for esophageal squamous cell carcinoma by proteomic analysis. BMC Cancer. 2021;10:1–12. doi: 10.1186/1471-2407-10-290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Labrie M, Vladoiu M, Leclerc BG, Grosset AA, Gaboury L, Stagg J, et al. A mutation in the carbohydrate recognition domain drives a phenotypic switch in the role of galectin-7 in prostate cancer. PLoS One. 2015;10:1–19.. doi: 10.1371/journal.pone.0131307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Grosset AA, Poirier F, Gaboury L, St-Pierre Y. Galectin-7 expression potentiates HER-2-positive phenotype in breast cancer. PLoS One. 2016;11:1–12.. doi: 10.1371/journal.pone.0166731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wang J, Liu Y, Yang Y, Xu Z, Zhang G, Liu Z, et al. High expression of galectin-7 associates with poor overall survival in patients with non-metastatic clear-cell renal cell carcinoma. Oncotarget. 2016;7:41986–95. doi: 10.18632/oncotarget.9749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Guo JP, Li XG. Galectin-7 promotes the invasiveness of human oral squamous cell carcinoma cells via activation of ERK and JNK signaling. Oncol Lett. 2017;13:1919–24. doi: 10.3892/ol.2017.5649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Schulz H, Schmoeckel E, Kuhn C, Hofmann S, Mayr D, Mahner S, et al. Galectins-1, -3, and -7 are prognostic markers for survival of ovarian cancer patients. Int J Mol Sci. 2017;18:1–12. doi: 10.3390/ijms18061230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Trebo A, Ditsch N, Kuhn C, Heidegger HH, Zeder-Goess C, Kolben T, et al. High galectin-7 and low galectin-8 expression and the combination of both are negative prognosticators for breast cancer patients. Cancers. 2020;12:1–21.. doi: 10.3390/cancers12040953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Saussez S, Cucu DR, Decaestecker C, Chevalier D, Kaltner H, André S, et al. Galectin 7 (p53-induced gene 1): a new prognostic predictor of recurrence and survival in stage IV hypopharyngeal cancer. Ann Surg Oncol. 2006;13:999–1009. doi: 10.1245/ASO.2006.08.033. [DOI] [PubMed] [Google Scholar]
- 33.Kopitz J, Andre S, von Reitzenstein C, Versluis K, Kaltner H, Pieters RJ, et al. Homodimeric galectin-7 (p53-induced gene 1) is a negative growth regulator for human neuroblastoma cells. Oncogene. 2003;22:6277–88. doi: 10.1038/sj.onc.1206631. [DOI] [PubMed] [Google Scholar]
- 34.Ueda S, Kuwabara I, Liu FT. Suppression of tumor growth by galectin-7 gene transfer. Cancer Res. 2004;64:5672–6. doi: 10.1158/0008-5472.CAN-04-0985. [DOI] [PubMed] [Google Scholar]
- 35.Kim SJ, Hwang JA, Ro JY, Lee YS, Chun KH. Galectin-7 is epigenetically-regulated tumor suppressor in gastric cancer. Oncotarget. 2013;4:1461–71. doi: 10.18632/oncotarget.1219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zhu H, Wu TC, Chen WQ, Zhou LJ, Wu Y, Zeng L, et al. Roles of galectin-7 and S100A9 in cervical squamous carcinoma: clinicopathological and in vitro evidence. Int J Cancer. 2013;132:1051–9. doi: 10.1002/ijc.27764. [DOI] [PubMed] [Google Scholar]
- 37.Higareda-Almaraz JC, Ruiz-Moreno JS, Klimentova J, Barbieri D, Salvador-Gallego R, Ly R, et al. Systems-level effects of ectopic galectin-7 reconstitution in cervical cancer and its microenvironment. BMC Cancer. 2016;16:680. doi: 10.1186/s12885-016-2700-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Cada Z, Chovanec M, Smetana K, Jr, Betka J, Lacina L, Plzák J, et al. Galectin-7: will the lectin’s activity establish clinical correlations in head and neck squamous cell and basal cell carcinomas? Histol Histopathol. 2009;24:41–48. doi: 10.14670/HH-24.41. [DOI] [PubMed] [Google Scholar]
- 39.Condamine T, Kumar V, Ramachandran I, Youn J, Celis E, Finnberg N, et al. ER stress regulates myeloid-derived suppressor cell fate through TRAIL-R-mediated apoptosis. J Clin Invest. 2014;124. 10.1172/JCI74056. [DOI] [PMC free article] [PubMed]
- 40.Morgan M, Anders S, Lawrence M, Aboyoun P, Pages H, Gentleman R. Short Read, a bioconductor package for input, quality assessment and exploration of high-throughput sequence data. Bioinformatics. 2009;25:2607–8. doi: 10.1093/bioinformatics/btp450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Liao Y, Smyth GK, Shi W. The Subread aligner, fast, accurate and scalable read mapping by seed-and-vote. Nucleic Acids Res. 2013;41:e108. doi: 10.1093/nar/gkt214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, et al. Enrichr, a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 2016;44:90–97. doi: 10.1093/nar/gkw377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ilarregui JM, Croci DO, Bianco GA, Toscano MA, Salatino M, Vermeulen ME, et al. Tolerogenic signals delivered by dendritic cells to T cells through a galectin-1-driven immunoregulatory circuit involving interleukin 27 and interleukin 10. Nat Immunol. 2009;10:981–91. doi: 10.1038/ni.1772. [DOI] [PubMed] [Google Scholar]
- 45.Rutkowski MR, Stephen TL, Svoronos N, Allegrezza MJ, Tesone AJ, Perales-Puchalt A, et al. Microbially driven TLR5-dependent signaling governs distal malignant progression through tumor-promoting inflammation. Cancer Cell. 2015;27:27–40. doi: 10.1016/j.ccell.2014.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Hoang VLT, Tom LN, Quek XC, Tan JM, Payne EJ, Lin LL, et al. RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers. Peer J. 2017;5:e3631. doi: 10.7717/peerj.3631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Mendez-Huergo SP, Blidner AG, Rabinovich GA. Galectins, emerging regulatory checkpoints linking tumor immunity and angiogenesis. Curr Opin Immunol. 2017;45:8–15. doi: 10.1016/j.coi.2016.12.003. [DOI] [PubMed] [Google Scholar]
- 48.Acharyya S, Oskarsson T, Vanharanta S, Malladi S, Kim J, Morris PG, et al. A CXCL1 paracrine network links cancer chemoresistance and metastasis. Cell. 2012;150:165–78. doi: 10.1016/j.cell.2012.04.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Park MS, Yang AY, Lee JE, Kim SK, Roe JS, Park MS, et al. GALNT3 suppresses lung cancer by inhibiting myeloid-derived suppressor cell infiltration and angiogenesis in a TNFR and c-MET pathway-dependent manner. Cancer Lett. 2021;521:294–307. doi: 10.1016/j.canlet.2021.08.015. [DOI] [PubMed] [Google Scholar]
- 50.Xing F, Liu Y, Sharma S, Wu K, Chan MD, Lo HW, et al. Activation of the c-met pathway mobilizes an inflammatory network in the brain microenvironment to promote brain metastasis of breast cancer. Cancer Res. 2016;76:4970–80. doi: 10.1158/0008-5472.CAN-15-3541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Comoglio PM, Trusolino L, Boccaccio C. Known and novel roles of the MET oncogene in cancer, a coherent approach to targeted therapy. Nat Rev Cancer. 2018;18:341–58. doi: 10.1038/s41568-018-0002-y. [DOI] [PubMed] [Google Scholar]
- 52.Recondo G, Che J, Jänne PA, Awad MM. Targeting MET dysregulation in cancer. Cancer Discov. 2020;10:922–34. doi: 10.1158/2159-8290.CD-19-1446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Shan M, Gentile M, Yeiser JR, Walland AC, Bornstein VU, Chen K, et al. Mucus enhances gut homeostasis and oral tolerance by delivering immunoregulatory signals. Science. 2013;342:447–53. doi: 10.1126/science.1237910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Thiemann S, Man JH, Chang MH, Lee B, Baum LG. Galectin-1 regulates tissue exit of specific dendritic cell populations. J Biol Chem. 2015;290:22662–77. doi: 10.1074/jbc.M115.644799. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Starossom SC, Mascanfroni ID, Imitola J, Cao L, Raddassi K, Hernandez SF, et al. Galectin-1 deactivates classically activated microglia and protects from inflammation-induced neurodegeneration. Immunity. 2021;37:249–63. doi: 10.1016/j.immuni.2012.05.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Dardalhon V, Anderson AC, Karman J, Apetoh L, Chandwaskar R, Lee DH, et al. Tim-3/galectin-9 pathway, regulation of Th1 immunity through promotion of CD11b+Ly-6G+ myeloid cells. J Immunol. 2010;185:1383–92. doi: 10.4049/jimmunol.0903275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Baker GJ, Chockley P, Zamler D, Castro MG, Lowenstein PR. Natural killer cells require monocytic Gr-1(+)/CD11b(+) myeloid cells to eradicate orthotopically engrafted glioma cells. Oncoimmunology. 2016;5:e1163461–1-13. doi: 10.1080/2162402X.2016.1163461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Orozco CA, Martinez-Bosch N, Guerrero PE, Vinaixa J, Dalotto-Moreno T, Iglesias M, et al. Targeting galectin-1 inhibits pancreatic cancer progression by modulating tumor-stroma crosstalk. Proc Natl Acad Sci USA. 2018;115:E3769–E3778. doi: 10.1073/pnas.1722434115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Bluth MJ, Zaba LC, Moussai D, Suárez-Fariñas M, Kaporis H, Fan L, et al. Myeloid dendritic cells from human cutaneous squamous cell carcinoma are poor stimulators of T-cell proliferation. J Invest Dermatol. 2009;129:2451–62. doi: 10.1038/jid.2009.96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.An J, Nagaki Y, Motoyama S, Kuze Y, Hoshizaki M, Kemuriyama K et al. Identification of Galectin-7 as a crucial metastatic enhancer of squamous cell carcinoma associated with immunosuppression. Oncogene. 2022; 10.1038/s41388-022-02525-1. [DOI] [PubMed]
- 61.Mereiter S, Balmaña M, Campos D, Gomes J, Reis CA. Glycosylation in the era of cancer-targeted therapy, where are we heading? Cancer Cell. 2019;36:6–16. doi: 10.1016/j.ccell.2019.06.006. [DOI] [PubMed] [Google Scholar]
- 62.Möginger U, Grunewald S, Hennig R, Kuo CW, Schirmeister F, Voth H, et al. Alterations of the human skin N- and O-glycome in basal cell carcinoma and squamous cell carcinoma. Front Oncol. 2018;8:1–18. doi: 10.3389/fonc.2018.00070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Brewer CF. Thermodynamic binding studies of galectin-1, -3 and -7. Glycoconj J. 2002;19:459–65. doi: 10.1023/B:GLYC.0000014075.62724.d0. [DOI] [PubMed] [Google Scholar]
- 64.Yamaguchi T, Hiromasa K, Kabashima-Kubo R, Yoshioka M, Nakamura M. Galectin-7, induced by cis-urocanic acid and ultraviolet B irradiation, down-modulates cytokine production by T lymphocytes. Exp Dermatol. 2013;22:840–2. doi: 10.1111/exd.12268. [DOI] [PubMed] [Google Scholar]
- 65.Campion CG, Labrie M, Lavoie G, St-Pierre Y. Expression of galectin-7 is induced in breast cancer cells by mutant p53. PLoS One. 2013;8:e72468. doi: 10.1371/journal.pone.0072468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Gendronneau G, Sanii S, Dang T, Deshayes F, Delacour D, Pichard E, et al. Overexpression of galectin-7 in mouse epidermis leads to loss of cell junctions and defective skin repair. PLoS One. 2015;10:e0119031. doi: 10.1371/journal.pone.0119031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Veglia F, Perego M, Gabrilovich D. Myeloid-derived suppressor cells coming of age. Nat Immunol. 2018;19:108–19. doi: 10.1038/s41590-017-0022-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Veglia F, Sanseviero E, Gabrilovich DI. Myeloid-derived suppressor cells in the era of increasing myeloid cell diversity. Nat. Rev. Immunol. 2021;1:1–14. doi: 10.1038/s41577-020-00490-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Ortiz ML, Kumar V, Martner A, Mony S, Donthireddy L, Condamine T, et al. Immature myeloid cells directly contribute to skin tumor development by recruiting IL-17-producing CD4+ T cells. J Exp Med. 2015;212:351–67. doi: 10.1084/jem.20140835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Cataisson C, Michalowski AM, Shibuya K, Ryscavage A, Klosterman M, Wright L, et al. MET signaling in keratinocytes activates EGFR and initiates squamous carcinogenesis. Sci Signal. 2016;9:1–16. doi: 10.1126/scisignal.aaf5106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Inagaki Y, Higashi K, Kushida M, Hong YY, Nakao S, Higashiyama R, et al. Hepatocyte growth factor suppresses profibrogenic signal transduction via nuclear export of Smad3 with galectin-7. Gastroenterology. 2008;134:1180–90. doi: 10.1053/j.gastro.2008.01.014. [DOI] [PubMed] [Google Scholar]
- 72.St-Pierre Y. Towards a better understanding of the relationships between Galectin-7, p53 and MMP-9 during cancer progression. Biomolecules. 2021;11:879. doi: 10.3390/biom11060879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Masuyer G, Jabeen T, Öberg CT, Leffler H, Nilsson UJ, Acharya KR. Inhibition mechanism of human galectin-7 by a novel galactose-benzylphosphate inhibitor. FEBS J. 2012;279:193–202. doi: 10.1111/j.1742-4658.2011.08414.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Vladoiu MC, Labrie M, Létourneau M, Egesborg P, Gagné D, Billard É, et al. Design of a peptidic inhibitor that targets the dimer interface of a prototypic galectin. Oncotarget. 2015;6:40970–80. doi: 10.18632/oncotarget.5403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Pérez Sáez J, Hockl P, Cagnoni A, Méndez Huergo S, García P, Gatto S, et al. Characterization of a neutralizing anti-human galectin-1 monoclonal antibody with angioregulatory and immunomodulatory activities. Angiogenesis. 2020;24:1–5. doi: 10.1007/s10456-020-09749-3. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data are available within the text and Supplementary Material.