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Record W2947477631 · doi:10.1016/j.jcmgh.2019.05.007

Loss of PTEN Signaling in Foxl1+ Mesenchymal Telocytes Initiates Spontaneous Colonic Neoplasia in Mice

2019· letter· en· W2947477631 on OpenAlexafffundabout
Marie‐Josée Langlois, Raphaëlle Servant, Vilcy Reyes Nicolás, Christine M. Jones, Sébastien A. B. Roy, Marilène Paquet, Julie Carrier, Nathalie Rivard, François Boudreau, Nathalie Perreault

Bibliographic record

VenueCellular and Molecular Gastroenterology and Hepatology · 2019
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchCancer Research Society
KeywordsPTENTensinScopusStromal cellCancer researchBiologyColorectal cancerContext (archaeology)BioinformaticsMedicineCancerPI3K/AKT/mTOR pathwaySignal transductionCell biologyGeneticsMEDLINE

Abstract

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Studies of colorectal cancer (CRC) traditionally focused on the role of epithelial genetic mutations and signaling pathway dysregulation with an underappreciation of faulty signaling impact from the stromal microenvironment in this context.1Taddei M.L. et al.Cancer Lett. 2013; 341: 80-96Crossref PubMed Scopus (189) Google Scholar The colonic stroma consists of professional and nonprofessional cells with fibroblasts, myofibroblasts, and telocytes found in close contact with the epithelia.2McLin V.A. et al.Gastroenterology. 2009; 136: 2074-2091Abstract Full Text Full Text PDF PubMed Scopus (96) Google Scholar, 3Shoshkes-Carmel M. et al.Nature. 2018; 557: 242-246Crossref PubMed Scopus (267) Google Scholar These latter cells are responsible for the contribution of the microenvironment surrounding the epithelium. The central role played by nonmyofibroblastic Foxl1+ telocytes as the source of indispensable intestinal stem cell niche factors was shown recently.3Shoshkes-Carmel M. et al.Nature. 2018; 557: 242-246Crossref PubMed Scopus (267) Google Scholar, 4Aoki R. et al.Cell Mol Gastroenterol Hepatol. 2016; 2: 175-188Abstract Full Text Full Text PDF PubMed Scopus (165) Google Scholar Although mutation of PTEN in epithelium of various organs leads to cancer development, we and others showed that specific intestinal epithelial cell ablation of Pten is insufficient to initiate neoplasia.5Langlois M.J. et al.FASEB J. 2009; 23: 1835-1844Crossref PubMed Scopus (29) Google Scholar, 6Marsh V. et al.Nat Genet. 2008; 40: 1436-1444Crossref PubMed Scopus (87) Google Scholar Such observations on epithelial phosphatase and tensin homolog deleted on chromosome 10 (PTEN) signaling suggest a greater role for extra-epithelial signaling in gut tumor development. Here, using the Foxl1Cre recombinase, we generated a mouse model featuring a specific deletion of Pten in gut telocytes (PtenΔFoxl1+) (Supplementary Figure 1), allowing dissection of the specific contribution of PTEN signaling in colonic telocytes. As previously shown with abrogation of Bmpr1aΔFoxl1+,7Allaire J.M. et al.Int J Cancer. 2016; 138: 2700-2712Crossref PubMed Scopus (12) Google Scholar, 8Roy S.A. et al.Sci Rep. 2016; 6: 32759Crossref PubMed Scopus (2) Google Scholar and herein with Pten, the deregulation of important cell signaling in gut telocytes strongly impacted colon epithelial homeostasis (Figure 1). By 75 days, PtenΔFoxl1+ colon spontaneously developed an average of 28 polyps as opposed to none in controls. Although normal colonic mucosal architecture was observed in both control and PtenΔFoxl1+ mice, mutants showed regions developing into lesions characterized by gut-associated lymphoid tissues, epithelial hyperplasia developing into benign lymphoid aggregates, and hamartomatous polyps composed of a mixture of epithelial and mesenchymal cells. These non-neoplastic lesions did not progress to carcinoma with age and were histologically similar to human hamartomatous polyps described in Cowden’s disease. Thus, telocyte PTEN signaling is a key singular protective pathway against colonic polyposis initiation. Studies showed that telocytes play a crucial role in secreting epithelial-interacting factors.3Shoshkes-Carmel M. et al.Nature. 2018; 557: 242-246Crossref PubMed Scopus (267) Google Scholar, 4Aoki R. et al.Cell Mol Gastroenterol Hepatol. 2016; 2: 175-188Abstract Full Text Full Text PDF PubMed Scopus (165) Google Scholar Disruption of PTEN signaling in telocytes altered the subepithelial milieu (Supplementary Figure 2). Proliferating cell nuclear antigen immunostaining showed increases in the number of proliferating cells in the epithelium (3.18-fold) and surrounding mesenchyme (1.45-fold) in mutants when compared with controls. Co-immunostaining of vimentin and α-smooth muscle actin showed a remodeling of nonprofessional cell populations in mutants compared with controls. Nonprofessional cells are strongly bioactive through secretion of soluble factors impacting the extracellular milieu supporting epithelial cells. To investigate for precocious altering events, mucosa of 30-day-old control and PtenΔFoxl1+ mice were analyzed for deregulated production of secreted factors. Altered expression of growth factors, extracellular matrix remodeling factors, cytokines, and chemokines was observed in PtenΔFoxl1+ mice (Supplementary Tables 1 and 2). By deleting PTEN signaling in telocytes, we show how these cells play a key role in regulating the secretion of epithelial, stromal, and immune cell interacting soluble factors, promoting a potent tumor microenvironment without pre-existing epithelial hyperplasia. Because PtenΔFoxl1+ mice only develop benign polyps without cancerous progression, we hypothesized that the absence of Pten in telocytes in concert with a mutated epithelium could enable the evolution of the cancer cascade. The generation of compound mutant mice with PtenΔFoxl1+ and an ubiquitous ApcMin/+ mutation uncovered key synergistic cross-talk between defective subepithelial mesenchyme and a primed oncogenic epithelium, impacting epithelial tumor multiplicity (Figure 2). Our results show that at 75 days (compound mice died at approximately 85 days), this double mutation (PtenΔFoxl1+;ApcMin/+) leads to accelerated polyposis initiation compared with ApcMin/+ animals (average, 18 and 3 adenomas, respectively), although no polyps were found in controls. This particular genetic combination is not sufficient to enable malignant transformation of a preneoplastic epithelium at 75 days of age. This could be explained by the limited life expectancy of the compound mice. This short latency is indubitably detrimental to the acquisition of key mutations allowing tumor progression. Second, the use of a different genetic epithelial mutation in combination with our dysfunctional mesenchyme should be explored. The serrated mouse models of CRC feature tumors that progress into adenocarcinomas with metastasis potential.9Davies E.J. et al.J Pathol. 2014; 233: 27-38Crossref PubMed Scopus (39) Google Scholar, 10Jackstadt R. et al.J Pathol. 2016; 238: 141-151Crossref PubMed Scopus (96) Google Scholar Serrated CRC involves initial mutations such as KRAS or BRAF, but not APC. Because the loss of PTEN signaling in telocytes lead to an epithelial hyperplasia within 85 days, its association with epithelial mutations of the serrated route potentially could lead to the formation of more invasive lesions. The present results indicate that loss of Pten in telocytes is sufficient to trigger the development of spontaneous colonic polyposis. Our findings further support that telocytes abrogated for PTEN signaling feature an altered stroma cell ratio and secretory profile leading to the establishment of a toxic microenvironment impacting colonic epithelial homeostasis. The current observations suggest that synergy between Pten-deficient telocytes and an oncogenically primed epithelium toward cancer progression may require a mutation from pathways such as the serrated route, as opposed to the traditional pathway involving APC mutation. C57BL/6-ApcMin/+ (002020) and BALB/c-Ptenfx/fx (004597) mice were purchased from The Jackson Laboratory (Bar Harbor, ME). The C57BL/6J Foxl1Cre transgenic line was provided by Dr K. H. Kaestner.1Sackett S.D. et al.Genesis. 2007; 45: 518-522Crossref PubMed Scopus (21) Google Scholar BALB/c-Ptenfx/fx mice were backcrossed with C57BL/6J mice for more than 18 generations. All mutations were genotyped according to a previously published protocol1Sackett S.D. et al.Genesis. 2007; 45: 518-522Crossref PubMed Scopus (21) Google Scholar or as directed by The Jackson Laboratory. All experiments were approved by the Animal Research Committee of the Faculty of Medicine and Health Sciences of the Université de Sherbrooke (Animal welfare committee approval number FMSS-308-17). The study followed the standards and policies of the Canadian Council on Animal Care in sciences. Methylene blue–stained polyps were visualized under a stereomicroscope. Polyp sizes were measured with a digital caliper (Fisher Scientific, Waltham, MA) and polyp numbers were counted from the duodenum to the rectum as previously described.2Langlois M.J. et al.FASEB J. 2009; 23: 1835-1844Crossref PubMed Scopus (30) Google Scholar, 3Perreault N. et al.Genes Dev. 2005; 19: 311-315Crossref PubMed Scopus (63) Google Scholar Tissues were fixed, paraffin-embedded, sectioned, and stained as described previously.2Langlois M.J. et al.FASEB J. 2009; 23: 1835-1844Crossref PubMed Scopus (30) Google Scholar, 4Allaire J.M. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G586-G597Crossref PubMed Scopus (22) Google Scholar, 5Allaire J.M. et al.Int J Cancer. 2016; 138: 2700-2712Crossref PubMed Scopus (19) Google Scholar, 6Auclair B.A. et al.Gastroenterology. 2007; 133: 887-896Abstract Full Text Full Text PDF PubMed Scopus (127) Google Scholar, 7Gagne-Sansfacon J. et al.PLoS One. 2014; 9: e98751Crossref PubMed Scopus (23) Google Scholar, 8Maloum F. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G1065-G1079Crossref PubMed Scopus (34) Google Scholar, 9Roy S.A. et al.Sci Rep. 2016; 6: 32759Crossref PubMed Scopus (12) Google Scholar Immunohistochemistry staining of proliferating cell nuclear antigen (18197; Abcam, Cambridge, MA), anti–α-smooth muscle actin (A2547; Sigma-Aldrich, Oakville, ON, Canada), and antivimentin (5741; Cell Signaling Technology, Danvers, MA) were performed as previously described.2Langlois M.J. et al.FASEB J. 2009; 23: 1835-1844Crossref PubMed Scopus (30) Google Scholar, 4Allaire J.M. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G586-G597Crossref PubMed Scopus (22) Google Scholar, 5Allaire J.M. et al.Int J Cancer. 2016; 138: 2700-2712Crossref PubMed Scopus (19) Google Scholar, 6Auclair B.A. et al.Gastroenterology. 2007; 133: 887-896Abstract Full Text Full Text PDF PubMed Scopus (127) Google Scholar, 7Gagne-Sansfacon J. et al.PLoS One. 2014; 9: e98751Crossref PubMed Scopus (23) Google Scholar, 8Maloum F. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G1065-G1079Crossref PubMed Scopus (34) Google Scholar, 9Roy S.A. et al.Sci Rep. 2016; 6: 32759Crossref PubMed Scopus (12) Google Scholar, 10Coulombe G. et al.Mol Cell Biol. 2013; 33: 2275-2284Crossref PubMed Scopus (34) Google Scholar Immunofluorescence against PTEN (9559; Cell Signaling) and α-smooth muscle actin (A2547; Sigma) was performed on optimal cutting temperature–embedded tissues as previously described.4Allaire J.M. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G586-G597Crossref PubMed Scopus (22) Google Scholar Alexa Fluor–conjugated antibodies for all immunofluorescence studies were obtained from Invitrogen (Carlsbad, CA). Immunofluorescence images were acquired with a Leica (Leica Microsystems Inc, Concord, ON, Canada) DLMB2 microscope equipped with a DFC300FX camera and Leica FireCAM 3.4.1 software. Otherwise, slides were visualized with a NanoZoomer slide scanner and NDP.view2 software (Hamamatsu Corporation, Bridgewater, NJ). Cytokine and chemokine production was determined with antibody arrays from RayBiotech (Peachtree Corners, GA) according to the manufacturer’s protocols. The Mouse Cytokine Array G1000 was used on total protein extracts from the colon of 30-day-old mutant and control mice. The arrays were scanned with the Cy3 channel using a ScanArray Express dual-color confocal laser scanner and ScanArray Express software (PerkinElmer, Waltham, MA). Total RNA was isolated and processed using the Totally RNA extraction kit (Ambion, Carlsbad, CA). Reverse-transcription polymerase chain reaction and quantitative real-time polymerase chain reaction were performed as described previously.2Langlois M.J. et al.FASEB J. 2009; 23: 1835-1844Crossref PubMed Scopus (30) Google Scholar, 4Allaire J.M. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G586-G597Crossref PubMed Scopus (22) Google Scholar, 5Allaire J.M. et al.Int J Cancer. 2016; 138: 2700-2712Crossref PubMed Scopus (19) Google Scholar, 6Auclair B.A. et al.Gastroenterology. 2007; 133: 887-896Abstract Full Text Full Text PDF PubMed Scopus (127) Google Scholar, 7Gagne-Sansfacon J. et al.PLoS One. 2014; 9: e98751Crossref PubMed Scopus (23) Google Scholar, 8Maloum F. et al.Am J Physiol Gastrointest Liver Physiol. 2011; 300: G1065-G1079Crossref PubMed Scopus (34) Google Scholar, 9Roy S.A. et al.Sci Rep. 2016; 6: 32759Crossref PubMed Scopus (12) Google Scholar For every quantitative polymerase chain reaction run, a no-template control was performed for each primer pair, each of which was consistently negative. Primer sequences are available upon request. All epithelial cell counts were performed on well-oriented crypts. To determine the ratio of proliferative mesenchymal cells shown in supplementary Figure 2, the number of proliferating cell nuclear antigen–positive cells relative to the total number of mesenchymal cells in a defined area was counted. Statistical tests used are described in figure legends. Data are expressed as means ± SEM. Graphs and statistics were generated with GraphPad Prism (GraphPad Software Inc, San Diego, CA). All authors had access to the study and reviewed and approved the final manuscript.Supplementary Figure 2Increased mucosal proliferation and mesenchymal cellular remodeling in PtenΔFoxl1+ mice. (A) Proliferation was analyzed by immunohistochemistry using a proliferating cell nuclear antigen (PCNA) antibody in 75-day-old control and PtenΔFoxl1+ mice. Proliferative cells (brown signal) were found in a very limited number of pericryptal mesenchymal cells in control mice. Cell counts of PCNA-stained cells showed a significant increase in the number of proliferating cells in the (B) epithelium of hyperplastic crypts (3.18-fold) (N = 5) and in the (C) mesenchyme (1.45-fold) of PtenΔFoxl1+ mice (N = 7) compared with controls (N = 6 and N = 7, respectively). (D) Co-immunostaining against α-smooth muscle actin (αSMA) (red staining, muscle cells, and myofibroblasts) and vimentin (green staining, fibroblasts, Foxl1+ cells, and myofibroblasts) was performed on colonic sections of control and PtenΔFoxl1+ mice. Myofibroblasts (yellow), fibroblasts, and Foxl1+ cells (green) and muscle cells (red) were present in the mesenchyme of both control and mutant mice, with a robust increase in all cell types in polyp pericryptal mesenchyme of PtenΔFoxl1+ mice. For example, in the delimitated areas, epithelial cells represent 71%, fibroblasts and Foxl1+ cells represent 14%, myofibroblasts represent 5%, and muscle cells represent 10% of all cells in the control mouse compared with 50% of epithelial cells, 18% of fibroblasts and Foxl1+ cells, 20% of myofibroblasts, and 12% of muscle cells in the mutant mouse. Error bars represent SEM (Mann–Whitney U test: *P < .05; **P < .01). Five to 10 crypts per mouse were counted and each dot represents the average for 1 mouse. Scale bars: (A) 50 μm and (D) 25 μm. DAPI, 4′,6-diamidino-2-phenylindole.View Large Image Figure ViewerDownload Hi-res image Download (PPT)Supplementary Table 1Modulated Cytokines/Chemokines in Colons of 30-Day-Old PtenΔFoxl1+ MiceFactorsFold changeP valueGrowth factors and growth factor regulators Insulin like growth factor binding protein 53.22.001 Insulin like growth factor binding protein 6-5.26.005 Osteoprotegerin1.74.034 Stromal cell-derived factor 1/chemokine (C-X-C motif) ligand 126.14.012 Soluble tumor necrosis factor receptor II1.47.026 TROY1.86.004 Thymic stromal lymphopoietin2.09.001 Vascular endothelial growth factor A1.98.042 Vascular endothelial growth factor receptor 23.87.011Extracellular matrix remodeling factors Matrix metalloproteinase 311.71.003 Pro-matrix metalloproteinase 914.141.45E-05 Tissue inhibitors of metalloproteinases-14.42.014 Tissue inhibitors of metalloproteinases-2-2.59.062Inflammatory cytokines and chemokines BLC28.39.050 CD30 ligand8.63.005 CD402.06.004 EOTAXIN/chemokine (C-C motif) ligand 112.93.004 Glucocorticoid-induced TNFR family related gene2.152.0E-04 Granulocyte-macrophage colony stimulating factor4.65.001 Interleukin 417.13.049 Interleukin 617.19.050 Interleukin 96.43.002 Interleukin 121.74.012 Interleukin 136.67.129 Interleukin 151.82.001 Interferon-inducible T cell alpha chemoattractant/chemokine (C-X-C motif) ligand 11-2.51.039 L-selectin5.92.008 Lymphotactin19.80.039 Monocyte chemoattractant protein 1/ chemokine (C-C motif) ligand 222.77.001 Monocyte Chemoattractant Protein 5/ Chemokine (C-C motif) Ligand 127.53.00022 Macrophage-derived chemokine/ chemokine (C-C motif) ligand 2211.65.005 Monokine indiced by Gamma/Chemokine (C-X-C motif) ligand 96.30.026 Regulated on activation, normal T cell expressed and secreted2.42.004NOTE. Fold change represents the ratio of mean value (mutant/control) of cytokine/chemokine expression analyzed using the RayBiotech Mouse Cytokine Antibody Array G series 1000 on total colonic protein extracts from 30-day-old mice (N = 4). Negative values indicate a reduction in PtenΔFoxl1+ mice compared with controls. Statistical probability was determined using the Student t test. Open table in a new tab Supplementary Table 2Gene Expression Levels of Secreted Factors in Colons of 30- to 45-Day-Old PtenΔFoxl1+ MiceFactorsFold changeP valueGrowth factors and growth factors regulators Insulin like growth factor binding protein 520.70.008 Insulin like growth factor binding protein 6-0.74.206 Stromal cell-derived factor 1/ chemokine (C-X-C motif) ligand 121.05.841 TROY1.50.691 Vascular endothelial growth factor A1.05.042Extracellular matrix remodeling factors Pro-matrix metalloproteinase 941.70.008 Tissue inhibitors of metalloproteinases-17.00.008 Tissue inhibitors of metalloproteinases-21.72.056Inflammatory cytokines and chemokines Interleukin 1340.05.036 Interleukin 151.18.548 Monocyte chemoattractant protein 5/chemokine (C-C motif) ligand 126.03.016 Monokine indiced by Gamma/ chemokine (C-X-C motif) ligand 923.05.079 EOTAXIN/chemokine (C-C motif) ligand 112.47.064NOTE. Fold change represents the ratio of mean value (mutant/control) of total colonic RNA extracts from 30- to 45-day-old mice (N = 5). Negative values indicate a reduction in PtenΔFoxl1+ mice compared with controls. Statistical probability was determined using the Student t test. Open table in a new tab NOTE. Fold change represents the ratio of mean value (mutant/control) of cytokine/chemokine expression analyzed using the RayBiotech Mouse Cytokine Antibody Array G series 1000 on total colonic protein extracts from 30-day-old mice (N = 4). Negative values indicate a reduction in PtenΔFoxl1+ mice compared with controls. Statistical probability was determined using the Student t test. NOTE. Fold change represents the ratio of mean value (mutant/control) of total colonic RNA extracts from 30- to 45-day-old mice (N = 5). Negative values indicate a reduction in PtenΔFoxl1+ mice compared with controls. Statistical probability was determined using the Student t test.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.215
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations9
Published2019
Admission routes3
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