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. 2022 Apr 15;72(2):345–359. doi: 10.1136/gutjnl-2021-325564

Macrophages direct cancer cells through a LOXL2-mediated metastatic cascade in pancreatic ductal adenocarcinoma

Marta Alonso-Nocelo 1,2,#, Laura Ruiz-Cañas 1,2,#, Patricia Sancho 3, Kıvanç Görgülü 4, Sonia Alcalá 1,2, Coral Pedrero 1,2, Mireia Vallespinos 1,2, Juan Carlos López-Gil 1,2, Marina Ochando 1,2, Elena García-García 5, Sara Maria David Trabulo 6, Paola Martinelli 7, Patricia Sánchez-Tomero 1,2, Carmen Sánchez-Palomo 8, Patricia Gonzalez-Santamaría 1,9, Lourdes Yuste 1,2,9, Sonja Maria Wörmann 10, Derya Kabacaoğlu 4, Julie Earl 11,12, Alberto Martin 1, Fernando Salvador 1, Sandra Valle 1,2, Laura Martin-Hijano 1,2, Alfredo Carrato 11,12,13, Mert Erkan 14, Laura García-Bermejo 15, Patrick C Hermann 16, Hana Algül 4, Gema Moreno-Bueno 1,9,17,18, Christopher Heeschen 6,19, Francisco Portillo 1,17, Amparo Cano 1,9,17, Bruno Sainz Jr 1,2,12,
PMCID: PMC9872246  PMID: 35428659

Abstract

Objective

The lysyl oxidase-like protein 2 (LOXL2) contributes to tumour progression and metastasis in different tumour entities, but its role in pancreatic ductal adenocarcinoma (PDAC) has not been evaluated in immunocompetent in vivo PDAC models.

Design

Towards this end, we used PDAC patient data sets, patient-derived xenograft in vivo and in vitro models, and four conditional genetically-engineered mouse models (GEMMS) to dissect the role of LOXL2 in PDAC. For GEMM-based studies, K-Ras +/LSL-G12D;Trp53 LSL-R172H;Pdx1-Cre mice (KPC) and the K-Ras +/LSL-G12D;Pdx1-Cre mice (KC) were crossed with Loxl2 allele floxed mice (Loxl2Exon2 fl/fl) or conditional Loxl2 overexpressing mice (R26Loxl2 KI/KI) to generate KPCL2KO or KCL2KO and KPCL2KI or KCL2KI mice, which were used to study overall survival; tumour incidence, burden and differentiation; metastases; epithelial to mesenchymal transition (EMT); stemness and extracellular collagen matrix (ECM) organisation.

Results

Using these PDAC mouse models, we show that while Loxl2 ablation had little effect on primary tumour development and growth, its loss significantly decreased metastasis and increased overall survival. We attribute this effect to non-cell autonomous factors, primarily ECM remodelling. Loxl2 overexpression, on the other hand, promoted primary and metastatic tumour growth and decreased overall survival, which could be linked to increased EMT and stemness. We also identified tumour-associated macrophage-secreted oncostatin M (OSM) as an inducer of LOXL2 expression, and show that targeting macrophages in vivo affects Osm and Loxl2 expression and collagen fibre alignment.

Conclusion

Taken together, our findings establish novel pathophysiological roles and functions for LOXL2 in PDAC, which could be potentially exploited to treat metastatic disease.

Keywords: PANCREATIC CANCER, CELL MATRIX INTERACTION, MACROPHAGES, MOLECULAR ONCOLOGY, PANCREATIC FIBROSIS


Significance of this study.

What is already known on this subject?

  • One of the hallmarks of the pancreatic ductal adenocarcinoma (PDAC) tumour microenvironment is an extensive desmoplastic reaction, containing a dense fibrous tissue and an abundant collagen-rich extracellular matrix (ECM), that can modulate tumour formation, progression and chemoresistance.

  • The lysyl oxidase family of proteins, including lysyl oxidase-like protein 2 (LOXL2), is responsible for ECM collagen and elastin crosslinking, resulting in biochemical, physical and mechanical effects that modulate tumour progression.

  • LOXL2 has been shown to enhance tumour progression, invasion and metastasis in a number of tumour entities via cell-autonomous mechanisms, such as activation of epithelial to mesenchymal transition (EMT), and non-cell autonomous mechanisms, such as ECM organisation.

Significance of this study.

What are the new findings?

  • Tumour-associated macrophage (TAM)-secreted oncostatin M (OSM) as an inducer of LOXL2 expression in PDAC tumours.

  • Loss of Loxl2 in KRasG12D-driven PDAC mouse tumours significantly decreases metastasis and increases overall survival, via non-cell autonomous factors, primarily ECM collagen remodelling.

  • Overexpression of Loxl2 in KRasG12D-driven PDAC mouse tumours promotes primary and metastatic tumour growth and decreases overall survival, via increased EMT and stemness.

  • Targeting TAMs in vivo reduces Osm and Loxl2 expression, resulting in reduced metastasis.

How might it impact on clinical practice in the foreseeable future?

  • How and when LOXL2 is targeted in PDAC tumour development may have different implications and biological effects.

  • Inhibitors of LOXL2 used in combination with inhibitors of TAMs or OSM-mediated signalling may synergise in reducing the metastatic potential of PDAC tumour cells.

Introduction

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal solid tumours and one of the most frequent causes of cancer-related death worldwide.1 2 In general, patients with PDAC have long been treated similarly, without a stratified treatment protocol, largely due to the consensus that taxonomic/molecular subtypes did not exist. This dogma, however, was challenged by numerous transcriptome studies over the past 10 years, and while the number of identified subtypes have differed across studies, two subtypes consistently appear: (1) progenitor/classical and (2) quasi-mesenchymal/squamous/basal.3

Although these molecular profiles have yet to impact clinical treatment decision-making, they have served to reinforce the role of the tumour microenvironment (TME) in PDAC.4–6 One of the hallmarks of PDAC is the development of a complex multicellular TME, with an extensive desmoplastic reaction, characterised by a dense fibrous tissue7 that can exert significant biochemical, physical and mechanical effects on PDAC cells,8 as well as an abundant extracellular matrix (ECM), composed of collagens, fibronectin, hyaluronan and tenascin C, among other components.9 The ECM regulates tumour stiffness and organisation primarily via increased collagen deposition, crosslinking and fibre alignment. While the latter has been associated with PDAC tumour progression, chemoresistance and metastasis,10–13 the pro-tumour role of the stroma and the ECM (ie, collagen deposition) in PDAC has been recently challenged,14 15 highlighting our still incomplete understanding of the stroma in PDAC.

Towards this end, we set out to evaluate the role of ECM organisation in PDAC. The crosslinking of ECM collagens and elastin are primarily catalysed by the lysyl oxidase (LOX) family of proteins, composed of five members (LOX and four related enzymes, lysyl oxidase-like protein 1 (LOXL1)-4).16–19 LOX and LOX-like proteins, specifically LOXL2, have been investigated in a number of tumour entities; however, no common universal mechanism of action has been identified for how LOX or specific LOX-like proteins enhance tumour progression, invasion and metastasis,18–22 indicating that tumour specific as well as cell autonomous and non-cell autonomous factors are likely at play.

These challenges have impeded the translation of LOX and LOX-like protein inhibitors to the clinic, but at the same time highlight that further investigation on the role of these proteins in tumour-specific contexts are still needed. Thus, due to the pro-tumour role of collagen fibre organisation in PDAC, and our previous studies dissecting the role of LOXL2 in other tumour entities,23–27 we took advantage of PDAC patient data sets, human patient-derived xenograft models and our previously published Loxl2 knockout and overexpression mouse models to dissect the role of LOXL2 in PDAC tumour initiation, progression and metastasis.

Methods

Gene expression data sets, GSEA analyses, Kaplan-Meier analysis and Pearson correlation

The gene expression data sets used in this study are publicly available. The data set from Janky et al 28 was downloaded from GEO (GSE62165); the data set from Moffit et al 4 was downloaded from GEO (GSE71729); and the META data set, containing data sets GSE15471, GSE16515, GSE22780 and GSE32688, was generated as described in ref 29.

PDAC patient-derived xenografts

Previously established PDAC patient-derived xenografts (PDAC PDX) were obtained from Dr Manuel Hidalgo under a Material Transfer Agreement with the Centro Nacional de Investigaciones Oncológicas (CNIO) (Reference no. I409181220BSMH). The indicated PDXs were expanded in female 6–8 week-old NU-Foxn1nu nude mice (Envigo, Spain) as previously described.30 PDXs 110314, 140114 and 010414 originated from primary patient PDAC tumours resected at Rechts der Isar Hospital, Technical University of Munich and subsequently established at the CNIO.

Cell cultures

Human Panc185, Panc215, Panc253, Panc010414 and Panc354 PDAC PDX-derived cultures were established as previously described.30 Establishment of KPC cultures has been previously described31 and cell lines were numbered using unique identifiers (eg, ID6, ID11, ID85, ID95). KPCL2KO and KPCL2KI cell lines were established from explanted tumours. Briefly, tumours were minced, enzymatically digested with collagenase (Collagenase Type P, Cat no. J62406.03, Alfa Aesar) and subsequently cultured in RPMI 1640 media (Invitrogen, Cat no. 61870044) containing 10% fetal bovine serum (Invitrogen) and 50 units/mL penicillin/streptomycin (Invitrogen, Cat no. 11548876). Epithelial clones were picked, pooled, further expanded to a heterogeneous cancer cell line, re-genotyped as described26 and numbered using unique identifiers (eg, ID11, ID32, ID86).

Genetically-engineered mouse models

The murine models of PDAC: K-Ras +/LSL-G12D;Trp53 LSL-R172H;Pdx1-Cre mouse model (KPC) and the K-Ras +/LSL-G12D;Pdx1-Cre mouse model (KC) have been described previously,32 and were kept on a C57BL/6 background. The floxed Loxl2 allele (exon 2) mice Loxl2 fl/fl and the conditional Loxl2-EGFP overexpressing mouse model R26Loxl2-EGFP KI/KI have been previously described,26 and were kept on mixed backgrounds. For advanced PDAC studies, tumour mice were generated by breeding male KPC mice with female Loxl2 Exon2fl/fl to generate heterozygous (Het) KPCL2KO mice (KPCL2+/−) or with female R26Loxl2 KI/KI mice to generate Het KPCL2KI mice (KPCL2+/KI). Progeny were born with expected ratios and KPCL2KO mice showed no visual functional defects or abnormal pancreatic histology (data not shown). Het mice from different breedings were further crossed to obtain KPCL2+/+, KPCL2+/− and KPCL2−/− mice for Loxl2 depletion studies or to obtain KPCL2+/+, KPCL2+/KI, and KPCL2KI/KI mice for Loxl2 overexpression studies. Genotyping primers used are listed in online supplemental table S2. Wild type (+/+) litter mates from both KPCL2KO and KPCL2KI lines were included as controls for all experiments. For tumour burden and metastasis analyses, mice were sacrificed at 17–18 weeks post birth (cohort 2). Organs, tumour and macroscopic metastases were isolated/determined, weighed and digitally documented. Tissues were fixed in 4% paraformaldehyde, snap frozen or digested as described above to establish primary cell lines. For survival curves analyses, only mice sacrificed at humane endpoints and that developed pancreatic tumours were included (cohort 1), all others were excluded from the analyses.

Supplementary data

gutjnl-2021-325564supp001.pdf (3.6MB, pdf)

A less aggressive PDAC model was also employed. For these studies male KC mice were mated with female Loxl2 Exon2fl/fl to generate Het KCL2KO mice (KCL2+/–) or with female R26Loxl2 KI/KI mice to generate Het KCL2KI mice (KCL2+/KI). Het mice from different breedings were further crossed to obtain KCL2+/+, KCL2+/−and KCL2−/− mice for Loxl2 depletion studies or to obtain KCL2+/+, KCL2+/KI and KCL2KI/KI mice for Loxl2 overexpression studies. Wild type (+/+) litter mates from both KCL2KO and KCL2KI lines were included as controls for all experiments. For tumour burden and metastasis analyses, cohort 2 mice were sacrificed at 38–40 weeks post birth, and animals were processed as described above. For survival curves analyses, only mice sacrificed at humane endpoints were included (cohort 1).

Differences in the kinetics of tumour formation as well as in the percentage of mice exhibiting metastases across the wild type KPCL2KO and KPCL2KI and KCL2KO and KCL2KI lines were observed, and determined to be due to background differences.

Patient and public involvement in research

Neither patients nor the public were directly involved in this research. Included are patient samples that were provided with informed consent via the BioBank Hospital Ramón y Cajal-IRYCIS (PT13/0010/0002), integrated in the Spanish National Biobanks Network (ISCIII Biobank Register No. B.0000678) (detailed further in supplementary methods).

Statistical analyses

Results are presented as means±SEM unless stated otherwise. Pair-wise multiple comparisons were performed with one-way analysis of variance with Tukey or Dunnett’s post-tests. Unless otherwise stated, unpaired two-sided (CI of 95%) Student’s t-tests were used to determine differences between the means of two groups. P values<0.05 were considered statistically significant. All analyses were performed using GraphPad Prism V.6.0.

Additional methods can be found in online supplemental material.

Results

LOXL2 messenger RNA expression correlates with poor overall survival and epithelial to mesenchymal transition in patients with PDAC

The transcriptional levels of LOXL2 expression were first evaluated in three publicly available transcriptome data sets GSE62165,28 META data set29 and GSE71729,4 and in line with previous publications,33–35 LOXL2 expression was significantly elevated in whole pancreatic tumour samples versus adjacent normal tissue (figure 1A). This increase was independently validated at the messenger RNA (mRNA) and protein levels in a previously published series31 of freshly resected PDAC tumours (figure 1B and online supplemental figure S1A, B). Regarding survival, a clear deviation and decrease in median overall survival (OS) was observed for LOXL2-high expressing patients (50-percentile) compared with the LOXL2-low expressing patients (50-percentile) in the Bailey et al series36 (figure 1C). Moreover, LOXL2 expression was higher in the more aggressive squamous subtype versus the other three subtypes (figure 1D), as classified by Bailey et al.36 Gene Set Enrichment Analysis (GSEA) comparing the samples belonging to the top and bottom quartiles of LOXL2 expression for the three aforementioned data sets was performed, and we observed significantly and commonly enriched pathways across all series (online supplemental figure S2A), with epithelial to mesenchymal transition (EMT) and transforming growth factor-beta (TGFß) signalling being consistently and significantly enriched across all LOXL2 high expressing patients, independent of the data set analysed (figure 1E and online supplemental figure S2A, B). Regarding EMT, a Spearman’s rank-order correlation or Pearson correlation matrix of epithelial and mesenchymal genes in patients sorted for LOXL2 mRNA levels and subjected to supervised hierarchical clustering (Euclidean distance measurement, average linkage clustering) confirmed a positive correlation in LOXL2 mRNA expression levels with EMT and mesenchymal genes, respectively (online supplemental figure S3A and figure 1F). Likewise, high levels of LOXL2 correlated with significantly worse survival and interval parameters (online supplemental figure S3B).

Figure 1.

Figure 1

LOXL2 mRNA expression correlates with poor overall survival and EMT in patients with PDAC. (A) Differential expression of LOXL2 in adjacent (Adj.) normal tissue vs PDAC tumours and metastasis (met) in GSE62165, META data set, and GSE71729. Unpaired two-sided Student’s t-test. (B) LOXL2 relative mRNA levels ±SD (n=2 technical replicates) in a panel of surgically resected human PDAC tumours (n=25) and four normal pancreas (nPanc) controls (left). Pooled mean ±SEM analysis including four primary KPC tumours (right). (ns, not significant; ****p<0.0001; two-sided t-test with Mann-Whitney U test). (C) Overall survival of patients with PDAC from the Bailey (n=96) data set, stratified according to the median value of LOXL2 expression. HR=Hazard ratio, Cox proportional hazard regression model. A Log-rank test was performed for survival analysis. (D) Differential expression of LOXL2 in PDAC tumours, subtyped as progenitor, squamous, immunogenic or ADEX from the Bailey et al data set. (**P<0.01, ****p<0.0001, one-way analysis of variance with Dunnett post-test). (E) EMT pathway enrichment plots from transcriptomics analysis (GSE62165, META and GSE1729 data sets) of LOXL2 high vs LOXL2 low patients. FDR <0.25. (F) Pearson correlation matrix of mesenchymal-related and epithelial-related genes in 179 patients with human PDAC (TCGA) sorted for LOXL2 mRNA levels and nearest neighbour. The matrix was subjected to supervised hierarchical clustering (Euclidean distance measurement, average linkage clustering). EMT, epithelial to mesenchymal transition; FDR, false discovery rate; LOXL2, lysyl oxidase-like protein 2; mRNA, messenger RNA; PDAC, pancreatic ductal adenocarcinoma; TCGA, The Cancer Genome Atlas.

Macrophages induce LOXL2 and EMT in PDX-derived PDAC cells via OSM

Next, we analysed the levels of LOXL2 protein in a panel of PDAC PDX tumours as a model system. Of the 11 PDX tumours analysed, only the highly metastatic 265 PDX model37 expressed LOXL2 (figure 2A), suggesting that xenografts either lose LOXL2 during in vivo passaging, a human specific TME factor that mediates LOXL2 expression is lacking in mice and/or a TME factor is lacking in culture. Building on our previously published work showing that only human M2 macrophages (MØ) can promote EMT in human PDX-derived cells,31 we measured LOXL2 expression in PDX-cultures incubated with MØ conditioned media (MCM) and observed a clear mesenchymal morphological transition (figure 2B) as well as increased cell scattering and motility (online supplemental videos 1 and 2), in vitro invasion (figure 2C) and in vivo liver and lung colonisation (online supplemental figure S4A, B). Transcriptionally, MCM increased the expression of several EMT transcription factors as well as proto-typical LOX, and other LOX-like transcripts, with EMT-associated LOXL2 showing the strongest upregulation (figure 2D), which was confirmed at the protein level (figure 2E).

Figure 2.

Figure 2

Macrophages induce LOXL2 and EMT in PDX-derived PDAC cells via OSM. (A) LOXL2 expression in indicated human PDXs. Tubulin, loading control. Positive (+) control=cell lysate from LOXL2-overexpressing 293 T cells. (B) Light micrographs of PDX-derived cells cultured for 72 hours with control media or conditioned medium from M2-polarised MØs (MCM). Scale bar=200 µm. Insets=2X magnified areas. (C) Light micrographs of Panc354 PDX-derived cells cultured for 72 hours with control media (Ctl) or MCM (left). Scale bar=400 µm. Representative images of migrating Ctl-treated or MCM-treated cells through a 0.8 micron transwell (top, right), and mean fold-change ±SD of MCM-treated invading cells compared with Ctl-treated Panc354, Panc215 or Panc265 cells, set as 1.0. (**P<0.01, ***p<0.001, unpaired Student’s t-test). (D) Mean fold-change ±SD of relative mRNA levels for the indicated genes in Ctl-treated or MCM-treated cells. Values normalised to ß-actin. Ctl-treated samples were set as 1.0. (*P<0.05, **p<0.01, ***p<0.001, unpaired Student’s t-test). (E) LOXL2 expression in Ctl-treated (–) or MCM-treated (+) PDX-derived cells. Tubulin, loading control. (F–H) OSM protein levels (pg/mL) present in (F) unpolarised PBMC-conditioned media or MCM, (G) unpolarised (Ctl) PBMC-conditioned media or conditioned media from TGFß1-treated PBMCs, or (H) serum from healthy controls or patients with PDAC. (*P<0.05, ***p<0.001, ****p<0.0001, unpaired two-sided Student’s t-test). EMT, epithelial to mesenchymal transition; LOXL2, lysyl oxidase-like protein 2; mRNA, messenger RNA; OSM, oncostatin M; PBMC, peripheral blood mononuclear cell; PDAC, pancreatic ductal adenocarcinoma; PDX, patient-derived xenografts; TGF, transforming growth factor.

Supplementary video

gutjnl-2021-325564supp002.avi (910.1KB, avi)

Supplementary video

gutjnl-2021-325564supp003.avi (1.6MB, avi)

We previously showed that MCM contains the known EMT inducer TGFß1,31 and TGFß signalling was consistently upregulated in patients with high LOXL2 expression (ie, top quartile) (online supplemental figure S2B); however, recombinant TGFß1 (rTGFß1) treatment does not induce an EMT state or LOXL2 expression in human PDX-derived cells (online supplemental figure S4C). Thus, we hypothesised that other MCM EMT inducing factors are likely mediating LOXL2 expression. Oncostatin M (OSM) represented a plausible alternative as (1) Junk et al showed that OSM is a more potent EMT inducer than TGFß1, although both converge into a similar pSTAT3/SMAD3-mediated EMT pathway,38 (2) OSM is present in MCM (figure 2F), (3) rTGFß1 can induce MØs to secrete OSM (figure 2G), and (4) OSM is present at significantly higher levels in serum from patients with PDAC compared with healthy controls (figure 2H). Indeed, treatment of PDX-derived cells with recombinant OSM (rOSM) induced a mesenchymal morphological transition (online supplemental figure S4D) as well as increased migration (online supplemental figure S4E) and induction of EMT-related gene transcription, including LOXL2 (online supplemental figure S4C, bottom), indicating that MØ-secreted OSM can induce LOXL2 expression. We also observed a clear correlation between high OSM concentrations in MCM and pSTAT3 activation and LOXL2 protein expression (online supplemental figure S4F). Importantly, silencing of LOXL2 in Panc354 cells did not revert the capacity of rOSM or MCM to induce an EMT-like phenotype in vitro (online supplemental figure S5A-C), indicating that LOXL2 is not the downstream driver of the EMT-related phenotypes induced by both stimuli.

Loss of Loxl2 improves OS and decreases tumour burden

Since human PDX models do not recapitulate the human TME (figure 2A), we further extrapolated our findings to a murine system. We first confirmed that four primary murine PDAC KPC (Pdx1-cre;KrasLSL.G12D/+;Tp53LSL.R172H/+ ) derived cell lines express undetectable Loxl2 levels, and that similar to human PDAC tumours and cells, murine MØ-secreted factors can induce Loxl2 expression (online supplemental figure S6A, B). Specifically, MCM or rTGFß1 and rOSM induced Loxl2 and/or an EMT-like state in KPC cells (online supplemental figure S6B–F); however, we consistently observed that rTGFß1 was a more potent EMT inducer than rOSM in the mouse setting. Next, we crossed floxed Loxl2 allele mice26 with KPC mice to generate KPC; Loxl2 fl/fl knockout (KO) mice (termed KPCL2KO) to study the role of LOXL2 in vivo (figure 3A). Loss of Loxl2 expression in KPCL2KO tumour-derived cells or fresh tumours was confirmed by quantitative reverse transcription PCR (RT-qPCR) and western blot (WB) analysis, respectively (figure 3B, C). The levels of other Lox-like mRNAs were not affected by the loss of Loxl2, except for Loxl3 (figure 3B). We next assessed OS, tumour incidence and tumour burden for KPC wild type (wt), Het Loxl2 (KPC; Loxl2 +/-) and KPCL2KO mice, in two different cohorts (see Methods). In the first cohort, loss of Loxl2 significantly extended OS (figure 3D), which we conclude, from the second cohort, was not due to differences in tumour incidence (figure 3E) but rather to decreased tumour burden (figure 3F–G and online supplemental figure S7). Interestingly, Loxl2 deletion also strongly influenced tumour differentiation. Whereas KPC tumours were heterogenous, with 64% of analysed tumours representing a more differentiated phenotype and 36% of tumours displaying a poorly differentiated phenotype, the percentage of poorly differentiated tumours was reduced to approximately 9% in KPCL2KO mice (figure 3H).

Figure 3.

Figure 3

Loss of Loxl2 improves overall survival and decreases tumour burden. (A) Scheme of the genetic mouse models for pancreatic cancer. The colour code (blue, KPC wild type (wt); red, KPCL2KO) is used for all results. (B) Mean relative mRNA levels±SEM of indicated genes in tumour-derived cells from the indicated genotypes (nd, not detected; ns, not significant; *p<0.05, ***p<0.001; one-way analysis of variance (ANOVA) with Dunnett’s post-test). (C) Loxl2 expression in tumour homogenates from the indicated KPC genotypes. Gapdh, loading control. (D) Survival of wt (+/+), Het (KPC; Loxl2 +/-) and KO KPC (KPC; Loxl2 -/-) mice. All mice died of PDAC associated disease at the indicated times (p value is shown; ns, not significant; log-rank (Mantel-Cox) test). Calculated median survivals are: wt (+/+): 19 weeks; Het (KPC; Loxl2 +/-): 21 weeks; and KO KPC (KPC; Loxl2 -/-): 26 weeks. (E) Percent tumour incidence in wt (+/+), Het (KPC; Loxl2 +/-) and KO KPC (KPC; Loxl2 -/-) mice at 17–18 weeks post birth. (P values are shown, contingency analysis, two-sided Fisher’s exact test). Tumour incidence was determined as positive if a macroscopic tumour was visible on necropsy. (F) Mean pancreas weight ±SEM in wt (+/+), Het (KPC; Loxl2 +/-) and KO KPC (KPC; Loxl2 -/-) mice at 17–18 weeks post birth (left). (**P<0.01; ns, not significant; one-way ANOVA with Tukey post-test). Representative images of PDAC tumours/genotype (bottom) at 17–18 weeks post birth. (G) Quantification of tissue area in mouse pancreata from wt (+/+), Het (KPC; Loxl2 +/-) and KO KPC (KPC; Loxl2 -/-) mice at 17–18 weeks post birth, categorised as severely altered tissue (acinar-to-ductal metaplasia (ADM) and inflammation), pancreatic intraepithelial neoplasias (PanINs I–III), cancer tissue (PDAC) or normal acinar tissue (*p<0.05, contingency analysis, two-sided Fisher’s exact test). (H) Representative H&E-stained sections for the grading of the respective tumours: wt (+/+) KPC (blue, n=14), Het KPC (KPC; Loxl2 +/-) (orange, n=21) and KO KPC (KPC; Loxl2 -/-) mice (red, n=11). Pie chart insets=percent of differentiated (blue) vs poorly differentiated (yellow) tumours for each genotype. Scale bar=250 µm. Het, heterozygous; KO, knockout; Loxl2, lysyl oxidase-like protein 2; mRNA, messenger RNA; PDAC, pancreatic ductal adenocarcinoma.

Loxl2 overexpression worsens OS and increases tumour burden

We next crossed KPC mice with a previously described conditional mouse overexpressing Loxl2 26 to generate KPC; R26Loxl2-EGFP KI/KI knock-in (KI) mice (termed KPCL2KI) (figure 4A). EGFP and Loxl2 overexpression in tumours (or cells) derived from KPC; R26+/+, KPC; R26L2+/KI and KPC; R26L2KI/KI mice was confirmed by fluorescence microscopy, WB and RT-qPCR analysis (figure 4B, C), and overexpression of Loxl2 did not affect the levels of other Lox-like members (figure 4C). OS, tumour incidence, and tumour burden were assessed, again using a two-cohort approach, and in contrast to KPCL2KO mice, we observed decreased OS (figure 4D), increased tumour incidence (figure 4E) and significantly more tumour burden (figure 4F–H and online supplemental figure S7) when Loxl2 was overexpressed. This increase in tumour burden coincided with a more poorly differentiated phenotype in KPC; R26L2+/KI and KPC; R26L2KI/KI mice, with 90% of KPC; R26L2KI/KI mice developing poorly differentiated tumours (figure 4I).

Figure 4.

Figure 4

Overexpression of Loxl2 worsens overall survival and increases tumour burden. (A) Scheme of the KPC-based Loxl2 overexpression genetic mouse model. The colour code green, KPCL2KI, is used for all results. (B) Light and EGFP tumour images (left). Loxl2 expression in tumour homogenates from the indicated KPC genotypes (right). Gapdh, loading control. Positive (+) control=cell lysate from murine Loxl2-overexpressing 293 T cells. (C) Mean relative mRNA levels ±SEM of indicated genes in tumour-derived cells from the indicated genotypes (***p<0.001; ns, not significant; one-way analysis of variance (ANOVA) with Dunnett’s post-test). (D) Survival of KPC wild type (+/+), KPC; R26L2+/KI and KPC; R26L2KI/KI mice. All mice died of PDAC associated disease at the indicated times (p value is shown; ns, not significant; log-rank (Mantel-Cox) test). Calculated median survivals are: wild type (+/+): 20 weeks; KPC; R26L2+/KI: 18 weeks; and KPC; R26L2KI/KI: 17 weeks. (E) Percent tumour incidence in KPC wild type (+/+), KPC; R26L2+/KI and KPC; R26L2KI/KI mice at 17–18 weeks post birth. (****P<0.0001; ns, not significant; contingency analysis; two-sided Fisher’s exact test). Tumour incidence was determined as positive if a macroscopic tumour was visible on necropsy. (F) Mean pancreas weight ±SEM in KPC wild type (+/+), KPC; R26L2+/KI and KPC; R26L2KI/KI mice at 17–18 weeks post birth. (*P<0.05, **p<0.01; ns, not significant; one-way ANOVA with Tukey post-test). (G) Representative images of PDAC tumours/genotype at 17–18 weeks post birth. (H) Quantification of tissue area in mouse pancreata from wild type (+/+) KPC mice (blue, n=7) and KPCL2KI (KPC; R26L2+/KI and KPC; R26L2KI/KI) mice (green, n=12) determined at 17–18 weeks post birth, categorised as severely altered tissue, PanINs I–III, PDAC or normal acinar tissue (*p<0.05, **p<0.01, contingency analysis, two-sided Fisher’s exact test). (I) Representative H&E-stained sections for the grading of the respective tumours: wild type (+/+) KPC (blue, n=6), KPC; R26L2+/KI (dark green, n=6) and KPC; R26L2KI/KI mice (light green, n=6). Pie chart insets=percent of differentiated (blue) vs poorly differentiated (yellow) tumours the indicated genotypes. Scale bar=250 µm. ADM, acinar-to-ductal metaplasia; KI, knock-in; Loxl2, lysyl oxidase-like protein 2; PanINS, pancreatic intraepithelial neoplasias; PDAC, pancreatic ductal adenocarcinoma; wt, wild type.

Loxl2 plays a role in initial PDAC development

Since mutant p53 accelerates tumour progression and malignant transformation via genomic instability leading to increased mutations,39 40 we analysed the effect of Loxl2 loss or overexpression in wt p53 KC (KrasLSL.G12D/+; Pdx1-cre) mice that develop acinar-ductal metaplasia (ADM), pancreatic intraepithelial neoplasias (PanIN) precursor lesions, and PDAC, but at a much slower rate than KPC mice, allowing for the assessment of initial transformative events. Similar to KPC mice, loss of Loxl2 increased OS while overexpression of Loxl2 had the opposite effect (online supplemental figure S8A, B). Regarding pancreatic weight, only a significant increase was observed in KC; R26L2KI/KI mice (online supplemental figure S8C); however, at the histological level, the pancreata of 38–40 week-old KCL2KO mice were predominantly composed of healthy tissue or tissue with PanIN lesions and ADM, compared with wt mice, which showed a greater and significant (p<0.001) percentage of PDAC lesions (online supplemental figure S8D upper, E). In KCL2KI mice, a significant increase in the percentage of PDAC was observed compared with wt mice (online supplemental figure S8D bottom, F).

Loxl2 loss and overexpression affects PDAC metastasis and cancer stem cells properties

In addition to differences in tumour burden and size (figures 3 and 4), we also observed prominent differences in macroscopic metastases when Loxl2 was modulated (figure 5A). Metastasis incidence (macroscopically and histologically confirmed, online supplemental figure S9A, B) for KPCL2KO and KPCL2KI mice was compared with their respective wt littermates, as the two wt KPC strains had dissimilar backgrounds that showed differences in basal metastasis. In line with survival, KPCL2KO mice showed decreased liver, lung and peritoneal (intestine, lymph nodes, stomach and/or diaphragm) metastases compared with wt littermates (figure 5B). An inverse situation was observed in KPCL2KI mice, with a significantly higher metastasis incidence (figure 5C), including intraperitoneal metastases, such as mesenteric lymph nodes and diaphragm metastases (figure 5A, C and online supplemental S9A, B). In the absence of mutant p53, KCL2KO mice also had significantly reduced metastasis incidence, likely a direct consequence of the reduced incidence of PDAC lesions in these mice, while in KC; R26L2+/KI and KC; R26L2KI/KI mice, an increased incidence in metastasis to the liver and lung was observed (online supplemental figure S9C, D).

Figure 5.

Figure 5

Loxl2 loss and overexpression affects PDAC metastasis and cancer stem cells properties. (A) PDAC tumours and metastases from indicated genotypes (white arrows, metastases). (B–C) Percent incidence of metastasis in (B) wild type (+/+), Het (KPC; Loxl2 +/-) and KO KPC (KPC; Loxl2 -/-) mice or (C) KPC wild type (+/+), KPC; R26L2+/KI and KPC; R26L2KI/KI mice at 17–18 weeks post birth. (**P<0.01, ****p<0.0001; ns, not significant; contingency analysis, two-sided Fisher’s exact test). (D–E) Left: Representative immunohistochemical stainings for indicated proteins in tumour sections from (D) wild type (+/+) KPC and KO KPC (KPC; Loxl2-/- ) mice or (E) wild type (+/+) KPC and KPCL2KI (KPC; R26L2KI/KI) mice. Scale bar=250 µm. Right: Quantification of per cent positive (+) cells/region of interest (ROI). (****P<0.0001; ns, not significant; unpaired Student’s t-test). (F) Mean number % colony area ±SEM, determined 11 days post seeding in indicated cell lines (n=3 cell lines/genotype, ****p<0.0001, ns, not significant, two-sided t-test with Mann-Whitney U test). (G) Mean number (no.) spheres/mL ±SEM, 7 days post seeding, in tumour cell lines from indicated genotypes (*p<0.05, ***p<0.001, unpaired Student’s t-test). (H) Mean percentage of EpCAM+/CD133+ cells ±SEM, in tumour cell lines from indicated genotypes (***p<0.001, two-sided t-test with Mann-Whitney U test). Het, heterozygous; KI, knock-in; KO, knockout; Loxl2, lysyl oxidase-like protein 2; PDAC, pancreatic ductal adenocarcinoma; wt, wild type.

Expression of EMT-associated proteins have been strongly linked with PDAC metastasis.41 42 Likewise, we have previously demonstrated an association between Loxl2 and the EMT regulatory transcription factor Snail1 in a breast cancer mouse model.23 Except for an increase in the percentage of Twist1-positive cells, no difference was observed in the expression of other EMT-associated proteins analysed in KPCL2KO tumours (figure 5D and online supplemental figure S10A). In the KPCL2KI mice, however, expression of all proteins was increased (figure 5E and online supplemental figure S10B), in line with an increased EMT programme when Loxl2 is overexpressed. Likewise, and as expected, a reduction in E-cadherin membrane expression was detected in tumour cells from the KPCL2KI mice concordant with the more poorly differentiated morphology of these tumours (online supplemental figure S11A, B). Interestingly, when tumour-derived cultures of all four genotypes were treated with the EMT inducers TGFß1 or Osm, all cells responded to both rTGFß1- or rOSM-stimulation (although differentially) at the morphological, transcriptional and protein levels (online supplemental figure S12 and 13), indicating that regardless of the presence or absence of Loxl2, these cells are TGFß1-responsive and Osm-responsive and EMT-competent.

We also evaluated the percentage of cancer stem cells (CSCs), known to affect tumour burden and metastasis41 in KPCL2KO and KPCL2KI cultures. Loxl2 overexpression significantly increased colony formation capacity (figure 5F), which may explain the increased weight and size of tumours observed in KPCL2KI mice. Likewise, both sphere forming capacity (ie, self-renewal) and the percentage of CSCs (determined as EpCAM+/CD133+) significantly increased in KPCL2KI cells, but decreased in KPCL2KO cells (figure 5G, H), suggesting that Loxl2 expression may be linked to a CSC state. Nonetheless, while no differences in tumour frequency in an extreme limiting dilution assay were noted for KPCL2KO or KPCL2KI cells when compared with their respective wt controls (online supplemental figure S14A, B), significant differences in tumour size and weight were observed for injected KPCL2KO cells (online supplemental figure S14A), suggesting decreased tumour initiation and/or growth kinetics.

Loxl2 is necessary for PDAC cell intravasation

The capacity of KPCL2KO and KPCL2KI cells to colonise the lungs of mice on tail vein injection was measured to determine their experimental metastatic capacity. Neither the presence nor absence of Loxl2 affected the metastatic capacity of KPCL2KO and KPCL2KI cells to form lung metastases in vivo (figure 6A, B), indicating that Loxl2 expression does not influence experimental metastatic capacity (ie, extravasation, seeding and colonisation) of PDAC-derived cells injected into circulation but rather may be impeding or promoting the invasion and/or intravasation of primary tumour cells through non-cell autonomous mechanisms. Therefore, we first confirmed Loxl2 secretion by KPCL2KI cells and not KPCL2KO cells (online supplemental figure S14C), and next established orthotopic tumours in vivo by injecting H2b-mCherry-labelled KPCL2KO or EGFP+KPCL2KI cells, individually or combined at a 1:1 ratio (figure 6C). If KPCL2KO cells have a decreased capacity to intravasate due to a lack of extracellular Loxl2, exogenous Loxl2 expression by KPCL2KI cells should rescue this phenotype. Four weeks post injection, tumours of equal weights formed in all mice (figure 6D), with the expected distribution of mCherry-positive and EGFP-positive cells (figure 6E). As hypothesised, H2b-mCherry-labelled KPCL2KO cells were present at significantly lower numbers in circulation compared with EGFP+KPCL2KI cells, (figure 6F); however, a significant increase in mCherry-positive cells was detected in both the blood and liver of mice when tumours were established at a 1:1 ratio with EGFP+KPCL2KI cells (figure 6F,G), confirming that KPCL2KO cells are able to intravasate and seed the liver when exogenous Loxl2 is provided.

Figure 6.

Figure 6

Loxl2 is necessary for PDAC intravasation. (A–B) Mean lung tumour weight ±SD in (A) wild type (+/+, ID32) KPC and Het KPC (KPC; Loxl2 +/-, ID86) cells (blue) and KO KPC (KPC; Loxl2 -/-, ID90 and ID98) cells (red) or (B) wild type (+/+, ID15 and ID29) KPC cells (blue) and KPCL2KI (KPC; R26L2+/KI, ID63 and KPC; R26L2KI/KI, ID4) cells (green) at 4 weeks post injection in NOD-SCID immunodeficient mice (left) (ns, not significant; unpaired Student’s t-test). Representative images of extracted lungs (top, right) and H&E images (bottom, right). (C) Experimental set-up for in vivo orthotopic tumour establishment in NOD-SCID immunodeficient mice with H2b-mCherry-labelled KPCL2KO (KPC; Loxl2 -/-) cells or EGFP+KPCL2KI (KPC; R26L2KI/KI) cells, alone or at a 1:1 ratio (groups 1, 3 and 2, respectively). (D) Mean tumour weight ±SD, 4 weeks post orthotopic injection, for each group (n=5 mice per group) (left). Representative images of PDAC tumours (right). (E–G) Mean number (no.) of mCherry-positive (red) or EGFP-positive (green) cells in (E) tumour homogenates, (F) blood or (G) liver homogenates, in indicated groups (*p<0.05, **p<0.01, ***p<0.001; ns, not significant; unpaired Student’s t-test). Het, heterozygous; KI, knock-in; KO, knockout; Loxl2, lysyl oxidase-like protein 2; PDAC, pancreatic ductal adenocarcinoma; wt, wild type.

Loxl2 affects collagen fibre orientation and premetastatic niche formation

The metastasis-promoting actions of LOX and LOX-like proteins in different tumour systems have been associated with extracellular functions such as ECM organisation, specifically collagen fibre crosslinking leading to tissue stiffness [reviewed in19 43]. Indeed, stiff tumours with high epithelial tension have been correlated with a more aggressive PDAC phenotype resulting in shorter patient survival,10 and primary tumour ECM organisation can enhance the secretion of factors (eg, exosomes), facilitating premetastatic niche conditioning in secondary organs either through ECM remodelling or stroma cell recruitment, ultimately facilitating metastasis.

Therefore, we first analysed the myeloid-derived MØ population in livers, which has been shown to be essential in PDAC cell metastasis,44 45 as a potential explanation for the difference observed in metastasis in KPCL2KO and KPCL2KI mice. Analyses revealed a negative and positive correlation between the presence of CD45+CD11b+F4/80+ cells46 in KPCL2KO and KPCL2KI mice, respectively (figure 7A). We also evaluated the ECM of PDAC tumours, specifically collagen fibre directionality/organisation, which has been directly linked to Loxl2 and tumour cells.47 While the directionality histograms for both KPCL2wt and KPCL2KI tumours portrayed single dominant peaks at specific/preferred orientations, KPCL2KO tumours contained multiple peaks, indicating a completely isotropic behaviour (figure 7B, insets). Quantification of relative peak frequencies confirmed a significantly less organised ECM in the absence of Loxl2 and increased organisation when overexpressed (figure 7C). In line with differential collagen fibre alignment, we observed a significant increase in pSTAT3 and pFAK in KPCL2KI tumours and decreased expression of pSTAT3 and a trend towards less pFAK in KPCL2KO tumours (online supplemental figure S15A, B), indicating a difference in epithelial tension and stiffness when Loxl2 is modulated.10 14 48 We also assessed mechanocontractility by staining for pMLC-2,48 and observed a higher expression of active pMLC-2 in KPCL2KI versus KPCL2KO tumours (online supplemental figure S15A, B). Finally, to have a more general idea of the immune TME in KPCL2KO and KPCL2KI mice, we performed immunohistochemistry (IHC) and flow cytometry analysis (online supplemental figure S16). We did observe differences in the immune TME when comparing KPCL2KI and KPCL2KO tumours to their respective wt littermate controls. Interestingly, we observed increased staining for CD3 in KPCL2KO and KPCL2KI tumours (online supplemental figure S16A, B), which could be validated by flow cytometry (online supplemental figure S16C, D). Likewise, the macrophage population (ie, F4/80+) and specifically the M2 subpopulation (ie, CD206+) increased in the KPCL2KI tumours and decreased in the KPCL2KO model, compared with their respective wt litter mate controls and depending on the method used (online supplemental figure S16A–D). Lastly, while CD45 IHC staining was not robust in the formalin-fixed, paraffin-embedded (FFPE) samples, flow cytometric analysis of CD45 in KPCL2KO and KPCL2KI tumours showed a significant decrease and increase, respectively, compared with their respective wt controls. Thus, it appears that the lack or overexpression of Loxl2 does affect the TME immune cell profile; however, a more exhaustive analysis would need to be performed on mice with similar genetic backgrounds before any definitive conclusions can be made.

Figure 7.

Figure 7

Loxl2 affects collagen fibre orientation and premetastatic niche formation. (A) Mean percent (%) CD11b+, F4/80+ or CD11b+/F4/80+ cells ±SEM in liver homogenates from (top) wild type (+/+) KPC and Het KPC (KPC; Loxl2 +/-) mice (blue) and KO KPC (KPC; Loxl2 -/-) mice (red) or (bottom) wild type (+/+) KPC mice (blue) and KPCL2KI (KPC; R26L2+/KI and KPC; R26L2KI/KI) mice (green) determined at 14–16 weeks post birth. (*P<0.05, **p<0.01, ***p<0.001; ns, not significant; two-sided t-test with Mann-Whitney U test). (B) Representative picrosirius red-stained images of pancreata. Overlay, representative fibre directionality analysis plots depicting the frequency of fibres in a specific orientation. (C) Mean maximum relative (max rel.) peak frequency ±SEM of directionality analysis plots for picrosirius red-stained images of pancreata shown in (B). (n=5–6 mice per genotype with 4–6 representative images analysed per mouse, *p<0.05, ****p<0.0001, two-sided t-test with Mann-Whitney U test). (D) Experimental set-up for clodronate (Clod) in vivo studies. (E) Mean fold-change in Loxl2 (top) or Osm (bottom) relative mRNA levels ±SEM in pancreata from control liposome-treated vs clodronate liposome-treated KPC wt mice. Values were normalised to Hprt levels and control liposome-treated samples were set as 1.0. (n=8 mice per group, ****p<0.0001, two-sided t-test with Mann-Whitney U test). (F) Representative picrosirius red-stained images of pancreata and overlaid fibre directionality analysis plots from control (Ctl)- and clodronate-treated KPC wt mice. (G) Mean maximum relative (max rel.) peak frequency ±SEM of directionality analysis plots for picrosirius red-stained images of pancreata shown in (F). (n=5 mice per group with three representative images analysed per mouse, ***p<0.001, two-sided t-test with Mann-Whitney U test). (H) Number of tumours and metastases detected in indicated groups. Het, heterozygous; Hprt, hypoxanthine phosphoribosyltransferase 1; KI, knock-in; KO, knockout; Loxl2, lysyl oxidase-like protein 2; mRNA, messenger RNA; Osm, oncostatin M; PDAC, pancreatic ductal adenocarcinoma; wt, wild type.

Finally, using a syngeneic orthotopic PDAC xenograft model, mice were treated with control or clodronate liposomes to eliminate MØs (figure 7D), as we have previously reported.49 Indeed, a significant reduction in Osm and Loxl2 expression (figure 7E) was measured in PDAC tumours from clodronate-treated mice, concomitant with a significant decrease in collagen fibril orientation (figure 7F), decreased relative peak frequencies (figure 7G), and reduced overall metastasis (figure 7H), confirming that MØs produce Osm, inducing Loxl2 expression and facilitating proper ECM organisation, which is necessary for metastasis.

Discussion

Herein, we focused on LOXL2 as previously published studies have shown LOXL2 to be overexpressed and secreted in PDAC samples or cell lines,50 51 and its expression has been positively correlated with PDAC metastasis and chemoresistance.33 52–54 However, the majority of these studies were either observational or based on small interfering RNA silencing of LOXL2 in established PDAC cell lines. Likewise, no study to date has genetically examined the role of LOXL2 in immunocompetent mouse models of PDAC that recapitulate all aspects of the human disease.

The use of mouse models to accurately study the role of Loxl2 in PDAC is underscored by our observation that human PDAC PDXs and PDX-derived cell lines express low to undetectable LOXL2 protein levels. Similar results in established PDAC cell lines have been observed by others, with various studies concurring that only mesenchymal-like PDAC cells (eg, MiaPaCa and Panc1) express LOXL2.33 54 Along these lines, only Panc265, a PDX recently shown to be highly metastatic in vivo,37 expressed LOXL2. Thus, we generated immunocompetent KPC and KC mice that lacked and overexpressed Loxl2 to accurately study Loxl2 in an in vivo setting. The most striking consequence of Loxl2 depletion and overexpression was the inhibition and enhancement of metastasis, respectively, which translated into increased and decreased OS in KCL2KO/KPCL2KO and KCL2KI/KPCL2KI mice, respectively. We also observed clear differences in the in vivo intratumoral heterogeneity between genotypes, with KPCL2KI mice giving rise to more poorly differentiated tumours with increased expression of EMT factors. The latter correlates with the observation that LOXL2 is more highly expressed in squamous PDAC tumours, which are characterised by increased invasiveness, EMT and decreased OS. We have also previously demonstrated a relation between Loxl2/dedifferentiation in polyomavirus middle T antigen (PyMT) tumours,23 and have described positive regulatory effects of Loxl2 on EMT in general and specifically on the stability and functional activity of Snail1.23 25 Moreover, a positive relationship was observed in KPCL2KI cells at the level of stemness. Thus, increased EMT and stemness could explain the enhanced metastasis observed in KPCL2KI mice.

Interestingly, KPCL2KO and wt tumours expressed similar levels of EMT-associated proteins and responded similarly to the EMT inducers TGFß1 or Osm. Likewise, KPCL2KO cells were able to colonise and form lung macrometastases to similar levels as wt KPC and KPCL2KI cells despite their reduced ‘stemness’, indicating that cell-autonomous Loxl2 does not influence the EMT-responsiveness or metastatic capacity of these cells. However, since invasion and intravasation precede metastatic colonisation and growth, loss of Loxl2 may be affecting these key early events of the metastatic cascade, which also depend on non-cell autonomous factors and processes, such as TME matrix stiffness, which can activate tumour cell EMT, invasion and metastasis.10 55 On the other hand, and based on the data from the KCL2KO mice and the ELDA tumourigenicity experiments, Loxl2 may also have an important role in tumour initiation. Nonetheless, since one of the best described functions of LOXL2 is the crosslinking, stabilisation and organisation of collagen fibres,16 we reasoned that the reduced metastasis observed in KPCL2KO mice was due primarily (but not exclusively) to extrinsic factors mediated by extracellular Loxl2. Indeed, we were able to rescue the in vivo metastatic capacity of KPCL2KO tumour-derived cells by providing extracellular Loxl2 via co-injection of KPCL2KI cells. Likewise, collagen fibre directionality and organisation, as well as mechanosignalling-associated proteins (pSTAT3, pFAK and pMLC-2), in KPCL2KO and KPCL2KI primary tumours showed opposing phenotypes, but no appreciable difference in the amount of ECM was observed, confirming that matrix organisation (and stiffness) is compromised in KPCL2KO tumours. This is different to data recently reported by Collison and colleagues, where the authors show (1) that the stromal matrix restrains rather than promotes PDAC, and (2) when the ECM in a murine syngeneic PDAC model was abolished using an anti-LOXL2 mAb (AB0023, Gilead), murine PDAC progression was augmented,14 which the authors attribute to a reduction in the ECM content and fibrosis. Recently, Kalluri and colleagues also showed that depletion of myofibroblast-derived Col1 in vivo accelerated the emergence of PanINs and PDAC.15

In our study, KPCL2KO mice had improved OS and reduced metastasis while the reverse occurred in KPCL2KI mice. It is important to note that in KPCL2KO mice, Loxl2 was genetically deleted only in PDAC cells and from birth, thus a direct comparison with the Jiang et al study14 cannot be made. Likewise, we cannot rule out that other cell types present in the TME may represent alternate sources of Loxl2; however, this potential contribution was likely minimal as collagen fibre crosslinking and organisation was consistently compromised in KPCL2KO tumours. In our syngeneic PDAC in vivo system, while collagen fibre misalignment and reduced Loxl2 was achieved with clodronate treatment, similar to the study by,14 PDAC metastasis was not augmented but rather reduced. The latter may be a consequence of the additional macrophage depletion mediated by the clodronate liposomes, which others have shown to be necessary for PDAC metastasis.56 In fact, we observed that the immune TME was affected by Loxl2 levels, which may have contributed to the observed in vivo phenotypes independent of, or in combination with, ECM organisation. Lastly, results from a 2017 randomised phase II study of simtuzumab, a humanised IgG4 monoclonal antibody (derived from AB0023) that inhibits extracellular LOXL2, in combination with gemcitabine for first-line treatment of patients with metastatic PDAC (ClinicalTrials.gov, NCT01472198), indicated that the addition of simtuzumab to gemcitabine did not improve clinical outcomes 57 ; however, the combination approach did not accelerate tumour progression. Thus, these differing views regarding the role of LOXL2 in PDAC tumourigenesis highlight the complex interplay of tumour-stroma interactions and the need to further understand this crosstalk as well as to re-evaluate the utility of anti-LOXL2 antibodies or small molecule LOXL2 inhibitors58 in the treatment of metastatic PDAC.

We additionally identify in this study macrophages and OSM as important players in this interplay. Interestingly, Dinca et al recently showed in invasive breast ductal carcinomas that OSM can induce LOXL2 expression, which in turn promotes an increase in ECM collagen I fibre crosslinking, leading to increased cell invasion.59 Likewise, Lee et al, recently demonstrated that MØ-secreted Osm induces inflammatory gene expression in CAFs, creating a pro-tumourigenic environment in PDAC.60 Interestingly, they also show that tumour cells implanted in Osm −/− mice displayed an epithelial-dominated morphology as well as reduced tumour growth and metastasis. Thus, our results not only definitively link LOXL2 expression to macrophage-secreted OSM in PDAC, but taken together, these studies highlight that targeting macrophages, OSM or both (eg, using inhibitors to target CSF1R or GP130), may provide a more effective therapeutic strategy for treating PDAC as well as circumvent potential issues associated with targeting LOXL2 alone.

Acknowledgments

We thank the patients and the BioBank Hospital Ramón y Cajal-IRYCIS (PT13/0010/0002) integrated in the Spanish National Biobanks Network for its collaboration and, in particular, Adrián Povo Retana for macrophage isolation and Dr. Javier Fco. Regadera Gonzalez for histology assistance. We also thank Vanesa Bermeo, Emilio González-Arnay and Sandra Batres Ramos for their invaluable technical help with this study. SV and PS-T were recipients of fellowships from the Comunidad de Madrid, Ayudas Para La Contratación de Predoctorales y Técnicos de Laboratorio (PEJD-2017-PRE/BMD-5062 and PEJ-2017-TL/BMD-7505, respectively), Madrid, Spain.

Footnotes

Twitter: @kivancgorgulu, @sainz_lab

MA-N and LR-C contributed equally.

Contributors: MV initiated the study. MA-N, PS, SA, KG, MV, MO, PG-S, JCL-G, SV and LM-H performed in vitro experiments and analysed data; MV, CP, LY and LR-C performed in vivo studies and analysed data; LG-B performed RNA FFPE extractions; PM, KG and SMW performed bioinformatics analyses; KG, PS-T, CS-P and DK performed histological analyses; EGG is our in-house pathologist and assisted with in vivo histological evaluations with PCH and MO; GM-B performed IHC analyses of human PDAC tumours; CH, PS and SMDT spearheaded the OSM studies; JE and ACar performed ELISA analyses and provided primary patient serum and tumour samples; ME provided human resected tumor samples for RNA analyses; AM, FS, ACan and FP produced and characterised the Loxl2 mouse models. HA, KG, PCH and GM-B provided significant scientific input, analysed data and reviewed the manuscript. ACan, FP and BSJ developed the study concept, obtained funding, interpreted the data and drafted/edited the manuscript. BSJ acts as the guarantor, and accepts full responsibility for the finished work and/or the conduct of the study, had access to the data, and controlled the decision to publish. All authors edited the manuscript.

Funding: JCL-G received support from a 'la Caixa' Foundation (ID 100010434) fellowship (LCF/BQ/DR21/11880011). This study was supported by ISCIII FIS grants PI18/00757 and PI21/01110 (BSJ) and PI18/00267 (LG-B), and grants from the Spanish Ministry of Economy and Innovation SAF2016-76504-R (ACan and FP), PID2019-111052RB-I00 (FP), PID2019-104644RB-I00 (GM-B), a Ramón y Cajal Merit Award RYC-2012–12104 (BSJ) and ISCIII, CIBERONC, CB16/12/00446 (ACar) and CB16/12/00295 (ACan and GM-B), all of them co-financed through Fondo Europeo de Desarrollo Regional (FEDER) 'Una manera de hacer Europa'; a Fero Foundation Grant (BSJ); a Coordinated grant (GC16173694BARB) from the Fundación Científica Asociación Española Contra el Cáncer (FC-AECC) (BSJ); a Miguel Servet award (CP16/00121) (PS); a DFG, German Research Foundation Grant—Project no: 492 436 553 (KG); and a Max Eder Fellowship of the German Cancer Aid (111746) (PCH)

Competing interests: None declared.

Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data from datasets used in this manuscript are available in a public, open access repository. Other data are available upon reasonable request. https://www.nature.com/articles/ng.3398; https://bmccancer.biomedcentral.com/articles/10.1186/s12885-016-2540-6; https://gut.bmj.com/content/66/9/1665.

Ethics statements

Patient consent for publication

Not applicable.

Ethics approval

Expansion of human PDXs in vivo, mouse breedings and all in vivo procedures in mice were conducted in accordance with protocols approved by the local Animal Experimental Ethics Committee of the Instituto de Salud Carlos III (PA 34–2012) or the Use Committee for Animal Care from the Universidad Autónoma de Madrid (UAM) (Ref# CEI-25–587) and the Comunidad de Madrid (PROEX 335/14, 182/14 or 294/19). For all in vivo experiments, mice were housed according to institutional guidelines and all experimental procedures were performed in compliance with the institutional guidelines for the welfare of experimental animals and in accordance with the guidelines for Ethical Conduct in the Care and Use of Animals as stated in The International Guiding Principles for Biomedical Research involving Animals, developed by the Council for International Organisations of Medical Sciences (CIOMS). Blood samples from patients with PDAC and healthy donors were provided by the BioBank Hospital Ramón y Cajal-IRYCIS (PT13/0010/0002), integrated in the Spanish National Biobanks Network (ISCIII Biobank Register No. B.0000678), and by ACar from the 'Collection of samples of the Familial Pancreas Cancer Registry' of the Carlos III Institute (ISCIII ref n°:C.0003953). Samples were processed following standard operating procedures with the appropriate approval of the Ethical and Scientific Committees (Control no. No. Control: DE-BIOB-73 AC65, RG.BIOB-57 and RG.BIOB-54), with informed consent and according to Declaration of Helsinki principles. Tumours derived from surgical resections at Rechts der Isar Hospital, Technical University of Munich, were obtained with written informed consent and authorised by the Rechts der Isar Hospital Ethics Committee with Project number 1926/07 and 5510/12.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

gutjnl-2021-325564supp001.pdf (3.6MB, pdf)

Supplementary video

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Supplementary video

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Data Availability Statement

Data from datasets used in this manuscript are available in a public, open access repository. Other data are available upon reasonable request. https://www.nature.com/articles/ng.3398; https://bmccancer.biomedcentral.com/articles/10.1186/s12885-016-2540-6; https://gut.bmj.com/content/66/9/1665.


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