Literature DB >> 28007785

p38MAPK builds a hyaluronan cancer niche to drive lung tumorigenesis.

Anna Brichkina1, Thomas Bertero2, Hui Mun Loh1, Nguyet Thi Minh Nguyen1, Alexander Emelyanov2,3,4,5,6, Sidwell Rigade2, Marius Ilie2,3,4,5,6, Paul Hofman2,3,4,5,6, Cedric Gaggioli2,3,4,5, Dmitry V Bulavin2,3,4,5,6.   

Abstract

Expansion of neoplastic lesions generates the initial signal that instigates the creation of a tumor niche. Nontransformed cell types within the microenvironment continuously coevolve with tumor cells to promote tumorigenesis. Here, we identify p38MAPK as a key component of human lung cancer, and specifically stromal interactomes, which provides an early, protumorigenic signal in the tissue microenvironment. We found that lung cancer growth depends on short-distance cues produced by the cancer niche in a p38-dependent manner. We identified fibroblast-specific hyaluronan synthesis at the center of p38-driven tumorigenesis, which regulates early stromal fibroblast activation, the conversion to carcinoma-associated fibroblasts (CAFs), and cancer cell proliferation. Systemic down-regulation of p38MAPK signaling in a knock-in model with substitution of activating Tyr182 to phenylalanine or conditional ablation of p38 in fibroblasts has a significant tumor-suppressive effect on K-ras lung tumorigenesis. Furthermore, both Kras-driven mouse lung tumors and orthotopically grown primary human lung cancers show a significant sensitivity to both a chemical p38 inhibitor and an over-the-counter inhibitor of hyaluronan synthesis. We propose that p38MAPK-hyaluronan-dependent reprogramming of the tumor microenvironment plays a critical role in driving lung tumorigenesis, while blocking this process could have far-reaching therapeutic implications.
© 2016 Brichkina et al.; Published by Cold Spring Harbor Laboratory Press.

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Keywords:  fibroblasts; hyaluronan; lung cancer; p38MAPK; tumor microenvironment

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Year:  2016        PMID: 28007785      PMCID: PMC5204354          DOI: 10.1101/gad.290346.116

Source DB:  PubMed          Journal:  Genes Dev        ISSN: 0890-9369            Impact factor:   11.361


Cancer is a complex systemic disease in which many normal cells are recruited to the tumor site to sustain malignant growth (Junttila and de Sauvage 2013). The initial expansion of cancer cells generates a signal to create the cancer niche; however, it is not clear which type of normal cell responds first to the initial tumor growth. Evidence has indicated that fibroblasts were among the first cells to be recruited by tumor cells; however, it is widely accepted that normal fibroblasts generally suppress tumor formation (Dotto et al. 1988; Junttila and de Sauvage 2013). To promote tumorigenesis, normal fibroblasts must be educated by cancer cells in the process of conversion to carcinoma-associated fibroblasts (CAFs) (Orimo et al. 2005). Once accomplished, this will result in extensive tissue remodeling (Joyce and Pollard 2009; Gascard and Tlsty 2016). Further establishment of a complex, dynamic network of cytokines, chemokines, growth factors, and matrix remodeling enzymes ultimately changes the physical and chemical properties of the tumor. Additionally, this dynamic tumor-promoting microenvironment is expanded by recruiting immune cells, pericytes, and sometimes adipocytes and establishing tumor vasculature and lymphatics. Lung cancer causes the largest number of cancer-related deaths worldwide. More than 85% of lung cancers are currently classified as non-small cell lung cancer (NSCLC), with a predicted 5-year survival rate of only 15.9% (Chen et al. 2014). It becomes increasingly clear that the effective approach to treating lung cancer will require therapies that can target both tumor cells and tumor-associated components. Stromal cells, such as fibroblasts, are known to provide signals to support tumor growth and survival, but no drug options exist that successfully target this component of the tumor microenvironment. p38MAPK (MAPK14) has been implicated in the regulation of different cancerous and noncancerous cell types that could be found in the tumor microenvironment (Alspach et al. 2014; Igea and Nebreda 2015). Originally, p38MAPK was proposed as a potential cancer suppressor (Brancho et al. 2003; Bulavin and Fornace 2004). However, its role in tumorigenesis has remained highly controversial. Initial experiments in mouse cancer models showed that p38MAPK suppressed lung and liver tumor formation in vivo (Hui et al. 2007; Ventura et al. 2007). However, enhanced p38MAPK activation and overexpression were reported in different human cancers, including lung tumors, and, in some cases, correlated with a poor prognosis (Greenberg et al. 2002; Elenitoba-Johnson et al. 2003; Pomerance et al. 2006). A definitive conclusion about the role of p38MAPK in cancer has been prevented by, among other reasons, the lack of models with systemic p38MAPK inactivation because conventional knockouts are embryonic-lethal (Adams et al. 2000; Tamura et al. 2000). Here we overcame this problem by substituting the p38MAPK-activating site Tyr182 with Phe. This genetic change resulted in significant down-regulation of p38MAPK signaling, and cancer cells carrying this mutation appeared to be more tumorigenic. In sharp contrast, in a mouse model of Kras-driven tumorigenesis, this systemic inactivation of p38MAPK caused profound tumor resistance. This effect appeared to be non-cell-autonomous and independent of p53 and relied on p38MAPK activation in fibroblasts at the tumor site.

Results

In silico network-based analysis identifies p38MAPK as a master NSCLC regulator

To determine novel, important molecular regulators in NSCLC pathogenesis, we constructed an in silico network of genes and interactions. We compiled transcriptomic data sets of cancer tissues and compared them with paired, noncancer control transcriptomic data sets (n = 60) from publically available databases (GSE19804). We called the complete network the “expanded NSCLC network” (Fig. 1A; Supplemental Table 1). Next, we ranked genes according to a hypergeometric analysis of the number of NSCLC-relevant interactions, accounting for the expanded NSCLC network size and the total number of targets for each gene. The top-ranked genes would be expected to be highly influential in the context of NSCLC (a high betweenness centrality score and a large number of interacting clusters), and we identified the members of the MAPK14 (p38MAPK) signaling pathway among the top 20 genes (Supplemental Table 2).
Figure 1.

Activation of p38MAPK is required for lung tumorigenesis. (A) The expanded NSCLC network is color-coded according to the functional pathway. Encircled areas represent architectural clusters based on a spectral partition-based clustering algorithm. p38MAPK (MAPK14) was ranked in the top 20 genes by the spanning score, reflecting a robust control over the expended NSCLC as a whole. The 57 direct targets of MAPK14 span all 10 gene clusters and 19 functional pathways. (B) Hierarchical ranking of the top 20 genes, color-coded by functional pathway, reveals MAPK14 as a system-level overarching regulator over the expanded NSCLC network. The ranking score is shown in the brackets. (C) KRAS lung tissues stained with phospho-specific antibodies for p38 and MK2; representative images are shown with analysis of intensity. Mean ± SD. n = 9. (*) P < 0.05; (***) P < 0.001. (D) Western blot analysis of mouse embryonic fibroblasts (MEFs) treated with different doses of UV radiation or TNFα treatment. The intensity was analyzed by densitometry. (E) The numbers of lung tumor lesions in 10-wk-old KRAS p38+/+ (n = 33) and KRAS p38ki/ki (n = 31) mice. Relative tumor area was calculated and is presented as the percentage relative to a total lung area (n = 6); note the dark hematoxylin/eosin-positive nodules (indicated with asterisks) representing tumor lesions. (***) P < 0.001. (F) The number of lung tumor lesions in 10-wk-old KRAS p38+/+ (n = 7) and KRAS p38ki/ki (n = 4) on a p53-deficient background. (**) P < 0.01. (G) Primary lung tumor cell lines established from KRAS lung tumors from p38+/+ and p38ki/ki mice were injected into nude mice, and tumors were analyzed as shown in the graph. n = 11. All data are mean ± SD. (*) P < 0.05.

Activation of p38MAPK is required for lung tumorigenesis. (A) The expanded NSCLC network is color-coded according to the functional pathway. Encircled areas represent architectural clusters based on a spectral partition-based clustering algorithm. p38MAPK (MAPK14) was ranked in the top 20 genes by the spanning score, reflecting a robust control over the expended NSCLC as a whole. The 57 direct targets of MAPK14 span all 10 gene clusters and 19 functional pathways. (B) Hierarchical ranking of the top 20 genes, color-coded by functional pathway, reveals MAPK14 as a system-level overarching regulator over the expanded NSCLC network. The ranking score is shown in the brackets. (C) KRAS lung tissues stained with phospho-specific antibodies for p38 and MK2; representative images are shown with analysis of intensity. Mean ± SD. n = 9. (*) P < 0.05; (***) P < 0.001. (D) Western blot analysis of mouse embryonic fibroblasts (MEFs) treated with different doses of UV radiation or TNFα treatment. The intensity was analyzed by densitometry. (E) The numbers of lung tumor lesions in 10-wk-old KRAS p38+/+ (n = 33) and KRAS p38ki/ki (n = 31) mice. Relative tumor area was calculated and is presented as the percentage relative to a total lung area (n = 6); note the dark hematoxylin/eosin-positive nodules (indicated with asterisks) representing tumor lesions. (***) P < 0.001. (F) The number of lung tumor lesions in 10-wk-old KRAS p38+/+ (n = 7) and KRAS p38ki/ki (n = 4) on a p53-deficient background. (**) P < 0.01. (G) Primary lung tumor cell lines established from KRAS lung tumors from p38+/+ and p38ki/ki mice were injected into nude mice, and tumors were analyzed as shown in the graph. n = 11. All data are mean ± SD. (*) P < 0.05. To identify genes with a holistic effect on NSCLC progression, we reasoned that they should exert a hierarchical control over the most influential genes. In order to identify such overarching regulator genes, we analyzed the hierarchy of the top 20 highly influential genes. Using this approach, we identified p38MAPK as one of the top five interactomes in the NSCLC (Fig. 1B; Supplemental Table 3). Based on gene function annotations derived from the Kyoto Encyclopedia of Genes and Genomes, Reactome, and NCBI BioSystems databases as well as reports in the scientific literature, we identified 57 targets of MAPK14 (p38MAPK) representing a total of 19 out of the top 20 functional pathways that were embedded throughout the network. Our analysis strongly argues that the p38MAPK pathway represents a potentially important molecular regulator in NSCLC pathogenesis.

p38MAPK promotes lung tumorigenesis in a non-cell-autonomous manner

The in silico analysis provided evidence for a potential role of p38MAPK in human NSCLC. Next, we turned to a mouse model of lung cancer induced with a somatic expression of a mutant Kras gene (KRASG12D/+) (Johnson et al. 2001). We found that both p38 and its downstream target, MK2, were highly phosphorylated in tumor lesions (Fig. 1C). The staining was most intense at the edges of the tumor area (Supplemental Fig. S1A). This provided direct evidence that p38MAPK was activated in KRAS lesions and could potentially play a role in lung cancer progression. To address the systemic role of p38MAPK, we decided to generate a novel mouse model with attenuated p38 activity throughout all cell types. A previous analysis revealed that mice with double mutations in p38MAPK at the activating sites, Thr180 and Tyr182, fully resembled the p38MAPK knockout phenotype (i.e., early embryonic-lethal) (Wong et al. 2009). This information provided a potential direction for further genetic manipulations. First, we evaluated whether mutating a single phosphorylation site would affect p38 signaling and the mouse phenotype. We generated two knock-in mouse lines: One substituted Thr180 with Ala (T180A), and the other substituted Tyr182 with Phe (Y182F). Our analysis revealed that homozygous T180A knock-in mice had an embryonic-lethal phenotype identical to the double mutants (Wong et al. 2009) and conventional knockouts (Adams et al. 2000; Tamura et al. 2000). In contrast, homozygous Y182F knock-in mice (p38ki/ki) were viable and were used for further analysis. To determine the extent of the change caused by this genetic manipulation in p38MAPK signaling, we crossed wild-type mice (p38+/+) with p38ki/ki mice to create p38MAPK heterozygous mice (p38ki/+) and established mouse embryonic fibroblast (MEF) cultures. We found that p38MAPK and Hsp27 phosphorylation was significantly reduced after UV irradiation or treatment with TNFα (Fig. 1D). In vivo, we found that p38ki/ki mice, similar to the treatment with a p38 inhibitor (Supplemental Fig. S1B), responded poorly to lipopolysaccharide and thioglycolate, which activated interleukin-6 (Il-6) and Il-10 in the lungs (Supplemental Fig. S1C). To understand the role of systemic inactivation of p38MAPK in cancer, we crossed KRASG12D/+ mice with p38ki/+ knock-in mice and investigated whether the phosphorylation levels of p38 and MK2 were changed on a p38ki/ki background. We found that phosphorylation was strongly reduced in knock-in mice (Fig. 1C). Next, we analyzed lung lesions and found that the number and size of KRAS-driven tumor lesions were significantly reduced in 10-wk-old p38ki/ki mice compared with p38+/+ mice (Fig. 1E). The number of lesions in p38ki/ki mice remained very low at later time points (e.g., 20-wk-old mice) (Supplemental Fig. S1D). The reduction in tumor lesions correlated with a significant reduction in the overall tumor area in p38ki/ki mice (Fig. 1E). Furthermore, inactivation of p53, which is commonly observed in human lung tumors, did not affect the tumor-resistant phenotype of p38ki/ki mice (Fig. 1F). These data suggested that p38MAPK controlled KRAS-driven lung cancer independently of p53. Our results were rather unexpected because conditional deletion of p38MAPK in KRAS-driven lung lesions accelerated tumorigenesis (Ventura et al. 2007). To investigate this further, we established primary KRAS-driven lung cancer cell cultures from p38+/+ and p38ki/ki mice. Next, we xenografted these cells into immunodeficient nude mice and found that the lung tumor cells with inactivated p38MAPK formed larger tumor masses than those formed with p38+/+ cells (Fig. 1G). Similarly, when p38 knock-in MEFs were transformed with E1A and Ras, they formed more aggressive tumors in xenografts (Supplemental Fig. S1E). These results suggested that the suppressed growth of KRAS-driven lung tumors in p38ki/ki mice did not depend on the intrinsic properties of the tumor cells. Consistent with this prediction, intravenously injected Lewis lung carcinoma (LLC) cells could not seed efficiently in mice with inactivated p38MAPK (Supplemental Fig. S1F). Taken together, our data pointed to the hypothesis that, in vivo, p38MAPK played a role in the microenvironment, which promoted lung tumorigenesis.

p38MAPK activity in stromal fibroblasts is critical for lung tumorigenesis

We first validated out hypothesis by building an in silico network of genes and interaction of specific lung tumor stromal transcriptomic data sets and compared them with paired noncancerous nonepithelial lung tissues (GSE22863). We called this network the “expanded NSCLC stromal network” (Fig. 2A; Supplemental Table 4). Similar to the expanded NSCLC network ranking of genes according to the hypergeometric analysis of the number of genes and subnetwork interactions, we ranked genes according to their influence on the stromal network (Fig. 2B; Supplemental Tables 5, 6). p38MAPK (MAPK14) was ranked among the top five for potential gene network regulatory significance, which could further emphasize the crucial role of p38MAPK in lung cancer stroma development during tumorigenesis.
Figure 2.

p38MAPK in stromal fibroblasts controls KRAS-driven lung cancer. (A) The expanded NSCLC stromal network is color-coded according to functional pathways. Circled areas represent architectural clusters based on the spectral partition-based clustering algorithm. p38MAPK (MAPK14) was ranked in the top 20 genes by the spanning score, reflecting a robust control over the expanded NSCLC stromal network as a whole. The 13 direct targets of MAPK14 span six gene clusters and six functional pathways. (B) Hierarchical ranking of the top 20 genes, color-coded by functional pathway, reveals MAPK14 as a system-level overarching regulator over the expanded NSCLC stromal network. The ranking score is shown in the brackets. (C) Lung tumor lesions in KRAS mice with conditional deletion of p38 in hematopoietic cells (Mx1-Cre) were stained with phospho-specific antibodies for MK2. The analysis is presented as the mean ratio of the pixel number to the tumor area ± SD. (NS) Nonsignificant. n = 7. (D) Percentage of FSP, phospho-p38 (p-p38), and double-FSP/p-p38 cells in the lungs of normal, p38+/+, and p38ki/ki/KRAS tumor-bearing mice. n = 3. A representative FACS analysis is shown in Supplemental Figure S2E. (**) P < 0.01; (***) P < 0.001. (E) Same as in C, but mice had a conditional deletion of p38 in stromal fibroblasts (FSP1-Cre). (***) P < 0.001. n = 10. (F) The number of lung tumor lesions at 10 wk in wild-type p38+/+ (n = 21) and p38fl/fl (n = 17) FSP1-Cre/KRAS mice. A relative tumor area was calculated as the percentage of total lung area. n = 6. (***) P < 0.001

p38MAPK in stromal fibroblasts controls KRAS-driven lung cancer. (A) The expanded NSCLC stromal network is color-coded according to functional pathways. Circled areas represent architectural clusters based on the spectral partition-based clustering algorithm. p38MAPK (MAPK14) was ranked in the top 20 genes by the spanning score, reflecting a robust control over the expanded NSCLC stromal network as a whole. The 13 direct targets of MAPK14 span six gene clusters and six functional pathways. (B) Hierarchical ranking of the top 20 genes, color-coded by functional pathway, reveals MAPK14 as a system-level overarching regulator over the expanded NSCLC stromal network. The ranking score is shown in the brackets. (C) Lung tumor lesions in KRAS mice with conditional deletion of p38 in hematopoietic cells (Mx1-Cre) were stained with phospho-specific antibodies for MK2. The analysis is presented as the mean ratio of the pixel number to the tumor area ± SD. (NS) Nonsignificant. n = 7. (D) Percentage of FSP, phospho-p38 (p-p38), and double-FSP/p-p38 cells in the lungs of normal, p38+/+, and p38ki/ki/KRAS tumor-bearing mice. n = 3. A representative FACS analysis is shown in Supplemental Figure S2E. (**) P < 0.01; (***) P < 0.001. (E) Same as in C, but mice had a conditional deletion of p38 in stromal fibroblasts (FSP1-Cre). (***) P < 0.001. n = 10. (F) The number of lung tumor lesions at 10 wk in wild-type p38+/+ (n = 21) and p38fl/fl (n = 17) FSP1-Cre/KRAS mice. A relative tumor area was calculated as the percentage of total lung area. n = 6. (***) P < 0.001 To validate the role of p38MAPK in the establishment of a protumorigenic microenvironment in the course of KRAS-driven lung tumorigenesis, we next turned to in vivo analysis of different cell types that comprise the cancer niche. To address the role of immune cells in the up-regulation of p38MAPK signaling in KRAS lesions, we inactivated p38MAPK in the entire hematopoietic system by crossing mice that expressed a floxed allele of p38MAPK (Nishida et al. 2004) with Mx1-Cre. Of note, inactivation of p38MAPK did not significantly change blood cell profiles in healthy nontumor mice (Supplemental Fig. S2A). Two groups of mice, both carrying Mx1-Cre/KRAS on either a p38+/+ or a p38fl/fl background, were subjected to pI–pC injections, which successfully removed p38MAPK in the bone marrow of p38fl/fl mice (Supplemental Fig. S2B). Next, we immunohistochemically analyzed KRAS lesions and found that tumors on the p38fl/fl Mx1-Cre background maintained high activation of p38MAPK signaling (Fig. 2C; Supplemental Fig. S2C). This suggested that nonhematopoietic cell types must have contributed primarily to p38MAPK activation in KRAS lung lesions. Next, we hypothesized that p38MAPK activation in stromal fibroblasts might contribute to p38 activation at the tumor site and potentially to KRAS-driven tumorigenesis. We found that wild-type and p38ki/ki KRAS mice contained a similar number of FSP-positive cells (Fig. 2D; Supplemental Fig. S2E,F), while p38 phosphorylation was reduced in p38ki/ki/KRAS mice (Fig. 2D; Supplemental Fig. S2E). Next, we analyzed tumor lesions in mice that expressed a Kras transgene together with a floxed p38MAPK allele and Cre recombinase driven by a fibroblast-specific promoter (FSP1-Cre) and found a significant reduction in p38MAPK signaling (Fig. 2E). Of note, a lack of double staining for Cre and CD11b or F4/80 ruled out the possibility of a nonspecific FSP1-Cre expression in myeloid cells and monocytes/macrophages (Supplemental Fig. S2D). Thus, our finding suggested that fibroblasts were the main contributors to KRAS-driven activation of p38MAPK at the tumor site. Importantly, post-mortem analyses showed significant reductions in the number and size of tumor lesions in FSP1-Cre p38 mice compared with FSP1-Cre p38+/+ mice (Fig. 2F). This finding suggested that stromal fibroblasts were the main contributors to p38MAPK activation at the tumor site, and this activation may be critical for initiating the series of events that promote KRAS-driven tumorigenesis.

p38MAPK controls hyaluronic acid synthesis in fibroblasts to promote lung tumorigenesis

p38MAPK is activated in the course of Kras-driven tumorigenesis, primarily at the periphery of the tumor site (Fig. 1C; Supplemental Fig. S1A); stromal fibroblasts appeared to be the main source of this activation (Fig. 2D). Importantly, genetic ablation of p38MAPK in stromal fibroblasts significantly reduced Kras-driven lung tumorigenesis (Fig. 2F). Next, we set out to investigate the molecular mechanism by which activation of p38MAPK in fibroblasts controls tumor growth. First, we conducted various coculture experiments to determine whether tumor-promoting activity relied on short- or long-distance cues produced by fibroblasts. KRAS tumor cells were seeded in the upper section of Boyden chambers to prevent direct contact with primary lung fibroblasts. We found no significant changes in tumor cell growth in cocultures with either wild-type or p38 fibroblasts (Supplemental Fig. S3B). This indicated that the tumor-promoting fibroblast factors were most likely short-distance cues. To confirm this, we cocultured tumor cells directly with lung fibroblasts from cancer-free p38+/+ or p38ki/ki mice as three-dimensional (3D) spheroids. We found that cancer cell proliferation was significantly increased in cocultures with wild-type lung fibroblasts, but proliferation was reduced in cocultures with p38 lung fibroblasts tested by cell number and the size of the spheres (Fig. 3A; Supplemental Fig. S3C). Furthermore, the tumors were significantly smaller when the mouse lung cancer cells were coinjected in nude mice with p38 fibroblasts than when injected with p38+/+ fibroblasts (Fig. 3B). These data strongly argued that p38 plays a key role in activating normal stromal fibroblasts to promote tumor formation. To unravel the mechanism, in further analyses, we focused on soluble cytokines, chemokines, and extracellular matrix (ECM) components.
Figure 3.

p38MAPK-dependent production of hyaluronan is required for lung tumorigenesis. (A) Mouse lung cancer cells line established from lung tumors of KRAS mice were cocultured in spheroids either alone (control) or with primary lung fibroblasts isolated from tumor-free p38+/+ or p38ki/ki mice (fibro). Cells were grown for 6–8 d. Representative images of spheroids are shown. The number of cells was counted and is presented in the graph at the right as mean ± SD. n = 6. (*) P < 0.05; (***) P < 0.001. (B) Primary KRAS/p53−/− lung cancer cells were injected subcutaneously either alone (control) or with primary lung fibroblasts from p38+/+ or p38ki/ki mice. Tumors (n = 5) were weighed, and the average mass is presented as means ± SD. (*) P < 0.05; (***) P < 0.001. (C) Quantitative RT–PCR (qRT–PCR) analysis of gene expression in early-passage primary lung fibroblasts isolated from cancer-free p38+/+ or p38ki/ki mice. n = 4. Mean ± SD. (***) P < 0.001. (D) Analysis of hyaluronan deposition detected by HABP staining in KRAS lung tumors in p38+/+ or p38ki/ki (top), p38+/+ or p38fl/fl FSP1-Cre (middle), or p38+/+ or p38fl/fl Mx1-Cre (bottom) mice. Quantification of HABP staining intensity is presented as the mean of the threshold ratio to the tumor area ± SD. n = 9. (*) P < 0.05; (***) P < 0.001; (ns) nonsignificant. (E) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured without or with p38+/+ or p38ki/ki lung fibroblasts. n = 3 triplicates. Cells were either left untreated (co) or grown with high-molecular-weight hyaluronic acid (HA). Means ± SD. (***) P < 0.001. (F) Primary lung fibroblasts isolated from tumor-free p38+/+ or p38ki/ki mice were transfected with a plasmid encoding hyaluronan synthase 2 (Has2)-GFP. Sorted GFP-positive cells were subjected to coculture as spheroids with KRAS/p53−/− mouse lung cancer cells. Cells plated without fibroblasts are indicated by black bars. Cell growth was calculated and is presented as means ± SD. n = 4. (*) P < 0.05; (***) P < 0.001. (G) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured with p38+/+ fibroblasts (n = 3) grown in the presence of p38 inhibitor LY2228820 or high-molecular-weight hyaluronan (HMW-HA [HA]). (H) The qRT–PCR analysis of Has2 mRNA levels in p38+/+ and p38ki/ki primary lung fibroblasts in nonstimulated condition (co) and in response to conditioned medium from KRAS/p53−/− lung cancer cells (CM), TGFβ1, and a mixture of Wnt3a and R-spondin or TNFα. Data are shown as a fold change compared with control p38+/+ fibroblasts, set as 1. Data are shown as mean ± SD. n = 3. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (I) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured without (black) or with p38+/+ (light gray) or p38ki/ki (dark gray) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of TGFβ1 pathway inhibitor SB431542 (TGFi), porcupine inhibitor C59, or both inhibitors together (TGFi + C59). Data are shown as means ± SD. n = 3. (***) P < 0.001. (J) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured without (black) or with p38+/+ (light gray) or p38ki/ki (dark gray) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of anti-CD44 antibody with and without the inclusion of hyaluronan. Data are shown as mean ± SD. n = 3. (**) P < 0.01; (***) P < 0.001.

p38MAPK-dependent production of hyaluronan is required for lung tumorigenesis. (A) Mouse lung cancer cells line established from lung tumors of KRAS mice were cocultured in spheroids either alone (control) or with primary lung fibroblasts isolated from tumor-free p38+/+ or p38ki/ki mice (fibro). Cells were grown for 6–8 d. Representative images of spheroids are shown. The number of cells was counted and is presented in the graph at the right as mean ± SD. n = 6. (*) P < 0.05; (***) P < 0.001. (B) Primary KRAS/p53−/− lung cancer cells were injected subcutaneously either alone (control) or with primary lung fibroblasts from p38+/+ or p38ki/ki mice. Tumors (n = 5) were weighed, and the average mass is presented as means ± SD. (*) P < 0.05; (***) P < 0.001. (C) Quantitative RT–PCR (qRT–PCR) analysis of gene expression in early-passage primary lung fibroblasts isolated from cancer-free p38+/+ or p38ki/ki mice. n = 4. Mean ± SD. (***) P < 0.001. (D) Analysis of hyaluronan deposition detected by HABP staining in KRAS lung tumors in p38+/+ or p38ki/ki (top), p38+/+ or p38fl/fl FSP1-Cre (middle), or p38+/+ or p38fl/fl Mx1-Cre (bottom) mice. Quantification of HABP staining intensity is presented as the mean of the threshold ratio to the tumor area ± SD. n = 9. (*) P < 0.05; (***) P < 0.001; (ns) nonsignificant. (E) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured without or with p38+/+ or p38ki/ki lung fibroblasts. n = 3 triplicates. Cells were either left untreated (co) or grown with high-molecular-weight hyaluronic acid (HA). Means ± SD. (***) P < 0.001. (F) Primary lung fibroblasts isolated from tumor-free p38+/+ or p38ki/ki mice were transfected with a plasmid encoding hyaluronan synthase 2 (Has2)-GFP. Sorted GFP-positive cells were subjected to coculture as spheroids with KRAS/p53−/− mouse lung cancer cells. Cells plated without fibroblasts are indicated by black bars. Cell growth was calculated and is presented as means ± SD. n = 4. (*) P < 0.05; (***) P < 0.001. (G) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured with p38+/+ fibroblasts (n = 3) grown in the presence of p38 inhibitor LY2228820 or high-molecular-weight hyaluronan (HMW-HA [HA]). (H) The qRT–PCR analysis of Has2 mRNA levels in p38+/+ and p38ki/ki primary lung fibroblasts in nonstimulated condition (co) and in response to conditioned medium from KRAS/p53−/− lung cancer cells (CM), TGFβ1, and a mixture of Wnt3a and R-spondin or TNFα. Data are shown as a fold change compared with control p38+/+ fibroblasts, set as 1. Data are shown as mean ± SD. n = 3. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (I) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured without (black) or with p38+/+ (light gray) or p38ki/ki (dark gray) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of TGFβ1 pathway inhibitor SB431542 (TGFi), porcupine inhibitor C59, or both inhibitors together (TGFi + C59). Data are shown as means ± SD. n = 3. (***) P < 0.001. (J) The cell numbers from desegregated spheroids of mouse lung cancer cells cocultured without (black) or with p38+/+ (light gray) or p38ki/ki (dark gray) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of anti-CD44 antibody with and without the inclusion of hyaluronan. Data are shown as mean ± SD. n = 3. (**) P < 0.01; (***) P < 0.001. Next, we purified lung fibroblasts from p38+/+ and p38ki/ki mice and carried out a microarray analysis, and differentially expressed genes were further reanalyzed with quantitative RT–PCR (qRT–PCR) in microdissected tumor lesions obtained from p38ki/ki and FSP1-Cre p38fl/fl mice. Among several differentially expressed genes, we found a consistent down-regulation of arginase 1 (Arg1), Arg2, and hyaluronan synthase 2 (Has2). Revalidation of the results by qRT–PCR revealed that the expression of Has2 (but not other family members: Has1 and Has3) (Fig. 3C) and the expression of both Arg1 and Arg2 were down-regulated in p38ki/ki cells (Supplemental Fig. S3D). Interestingly, Has2 (but not Has1 or Has3) was also highly up-regulated in a p38-dependent manner when lung fibroblasts were treated with TGF-β (Supplemental Fig. S3D). Moreover, TGF-β was not able to induce expression of CAF genes in p38ki/ki fibroblasts (Supplemental Fig. S3E). Importantly, overexpression of active MKK6 kinase was sufficient to induce Has2 and aSma expression (Supplemental Fig. S3F). These data strongly suggest that p38MAPK contributes to activation of HAS2 and potentially to the CAF phenotype. As the arginase inhibitor did not significantly affect the tumor-promoting activity of stromal fibroblasts in 3D cultures (data not shown), we focused on the potential role of Has2 in regulating p38-dependent tumorigenesis. Has2 is the main enzyme in the synthesis of hyaluronic acid or hyaluronan, a part of an ECM that, within the tumor microenvironment, promotes cancer progression (Okuda et al. 2012). First, we found that increased deposition of hyaluronan was significantly diminished in p38 tumor lesions from Kras mice on a p38 background (Fig. 3D, top panels). We also found that hyaluronan deposition was significantly reduced in cancer lesions from FSP1-Cre/Kras mice on a p38 background (Fig. 3D, middle panels) but not from Mx-Cre/Kras mice (Fig. 3D, bottom panels). This result supported the notion that specific p38 activation in stromal fibroblasts controlled hyaluronan deposition at the tumor site. Next, we investigated whether the hyaluronan production controlled by p38 kinase was essential for tumor growth in vitro. Lung tumor cells were cocultured with p38+/+ and p38 lung fibroblasts in the presence of high-molecular-weight hyaluronan (HMW-HA), and we found that it was sufficient to fully restore the ability of p38 fibroblasts to promote tumor cell growth in vitro in 3D coculture (Fig. 3E). In addition, overexpression of HAS2 completely restored the ability of p38 lung fibroblasts to support tumor growth (Fig. 3F). Next, pharmacological inhibition of p38MAPK blocked the ability of fibroblasts to promote tumor growth in 3D cultures and in vivo; the effect was completely reversed by inclusion of HMW-HA (Fig. 3G; Supplemental Fig. S3G). These data strongly argue that p38MAPK-dependent hyaluronan synthesis is critical for stromal fibroblasts to promote lung cancer growth. Next, we analyzed factors that might be responsible for Has2 induction and hyaluronan accumulation in stromal fibroblasts. We found that conditioned medium from lung cancer cells (Fig. 3H) could activate Has2 expression and hyaluronan accumulation (Supplemental Fig. S3H) in wild-type, but not p38, lung fibroblasts. Similar results were obtained in coculture experiments with lung cancer tumor cells growing in hanging inserts (Supplemental Fig. S3I). We further tested different cytokines and found that TGF-β and, to lesser extent, Wnt activators and TNFα could induce Has2 expression and hyaluronan deposition in a p38MAPK-dependent manner (Fig. 3H; Supplemental Fig. S3H). Importantly, inhibiting the TGF-β pathway with an ALK5 inhibitor (SB431542) significantly reversed the growth-promoting activity of wild-type, but not p38, lung fibroblasts in 3D sphere coculture assays (Fig. 3I). Furthermore, anti-CD44 inhibitory antibody fully blocked the growth-promoting activity of wild-type fibroblasts and completely reversed the resque effect of hyaluronan in p38 lung fibroblasts (Fig. 3J).

Hyaluronan synthesis is required for primary human lung cancer growth

To address the question of whether the described mechanism is applicable to human cells, we established several primary human lung cancer cell lines based on the material acquired from patients during surgery. Similar to our results with mouse lung cancer cells, the wild-type primary mouse lung fibroblasts efficiently increased the growth of human lung cancer cells in 3D sphere conditions in a p38-dependent manner (Fig. 4A; Supplemental Fig. S4A). The tumor-promoting role of p38 was further validated after injecting a mixture of either wild-type and p38ki/ki fibroblasts or human lung CAFs and p38shRNA-depleted CAFs with primary human lung cancer cells into nude mice (Fig. 4B). Consistent with these observations, the p38 chemical inhibitor LY2228820 also prevented wild-type lung fibroblasts from promoting human cancer cell growth (Fig. 4C).
Figure 4.

Inhibition of hyaluronan synthesis blocks mouse and human lung cancer cell growth. (A) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cocultured with primary mouse lung fibroblasts from p38+/+ or p38ki/ki mice. Data are shown as mean ± SD. n = 3. (**) P < 0.01; (***) P < 0.001. (B) Tumor analysis after subcutaneous injection of patient-derived T27 primary human lung cancer cells together with primary lung fibroblasts from p38+/+ or p38ki/ki mice (left) or control and p38 shRNA-depleted CAFs (right). T27 cells injected alone did not form tumors for the analyzed period. n = 4. Mean ± SD. (*) P < 0.05. (C) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cultured without (black) or with (gray) primary wild-type mouse lung fibroblasts without any treatment (co), in the presence of LY2228820 (LYi), or in combination with HMW-HA (HA + LYi). n = 3. Mean ± SD. (*) P < 0.05; (**) P < 0.01. (D) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cultured alone (black bars; co) or cocultured with p38+/+ or p38ki/ki mouse lung fibroblasts supplemented with HMW-HA (HA). n = 3. Mean ± SD. (*) P < 0.05; (***) P < 0.001. (E,F) Mouse lung cancer cells (E) or T27 primary human lung cancer cells (F) cultured as spheroids without (black bars) or with (gray bars) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of 4-methylumbelliferone (4MU). n = 3. Mean ± SD. (***) P < 0.001. (G) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cultured without (black) or with p38+/+ (light gray) or p38ki/ki (dark gray) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of TGFβ1 inhibitor SB431542 (TGFi), porcupine inhibitor C59, or both inhibitors together (TGFi + C59). n = 3. Mean ± SD. (**) P < 0.01; (***) P < 0.001.

Inhibition of hyaluronan synthesis blocks mouse and human lung cancer cell growth. (A) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cocultured with primary mouse lung fibroblasts from p38+/+ or p38ki/ki mice. Data are shown as mean ± SD. n = 3. (**) P < 0.01; (***) P < 0.001. (B) Tumor analysis after subcutaneous injection of patient-derived T27 primary human lung cancer cells together with primary lung fibroblasts from p38+/+ or p38ki/ki mice (left) or control and p38 shRNA-depleted CAFs (right). T27 cells injected alone did not form tumors for the analyzed period. n = 4. Mean ± SD. (*) P < 0.05. (C) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cultured without (black) or with (gray) primary wild-type mouse lung fibroblasts without any treatment (co), in the presence of LY2228820 (LYi), or in combination with HMW-HA (HA + LYi). n = 3. Mean ± SD. (*) P < 0.05; (**) P < 0.01. (D) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cultured alone (black bars; co) or cocultured with p38+/+ or p38ki/ki mouse lung fibroblasts supplemented with HMW-HA (HA). n = 3. Mean ± SD. (*) P < 0.05; (***) P < 0.001. (E,F) Mouse lung cancer cells (E) or T27 primary human lung cancer cells (F) cultured as spheroids without (black bars) or with (gray bars) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of 4-methylumbelliferone (4MU). n = 3. Mean ± SD. (***) P < 0.001. (G) The cell numbers from desegregated spheroids of patient-derived T27 primary human lung cancer cells cultured without (black) or with p38+/+ (light gray) or p38ki/ki (dark gray) primary mouse lung fibroblasts. Cells were untreated (co) or grown in the presence of TGFβ1 inhibitor SB431542 (TGFi), porcupine inhibitor C59, or both inhibitors together (TGFi + C59). n = 3. Mean ± SD. (**) P < 0.01; (***) P < 0.001. To determine whether hyaluronan synthesis was required for the growth of primary human cancer cells, we supplemented the culture medium with HMW-HA. The presence of HMW-HA significantly reversed the growth inhibitory effects of both the p38 inhibitor LY2228820 (Fig. 4C; Supplemental Fig. S4B) and p38 lung fibroblasts (Fig. 4D). To confirm the role of hyaluronan in tumor-promoting activity, we inhibited hyaluronan synthesis with the chemical inhibitor 4-methylumbelliferone (4MU), which was reported to block hyaluronan deposition efficiently (Kakizaki et al. 2004; Kultti et al. 2009). We found that 4MU inhibited the growth of both mouse (Fig. 4E) and human T27 (Fig. 4F) and T24 (Supplemental Fig. S4B) primary lung cancer cells in 3D cocultures with mouse lung fibroblasts. Please note that 4MU also inhibited the activation of CAF genes in response to TGF-β (Supplemental Fig. S4C); both LY2228820 and 4MU prevented TGF-β-dependent accumulation of hyaluronan in primary lung fibroblasts (Supplemental Fig. S4D). We further found that the inhibitor of TGF-β significantly blocked the tumor-promoting ability of wild-type fibroblasts to support human lung cancer growth in 3D assays (Fig. 4G). Overall, our results confirmed the role of the p38hyaluronan axis in regulating primary human lung cancer growth in vitro.

p38MAPK–hyaluronan-dependent signaling supports human CAF activation

The conversion of stromal fibroblasts into CAFs is a key step in reprogramming the normal microenvironment to create a cancer niche. Thus, we asked whether the p38MAPK pathway might play a role in this process. First, we assessed the role of p38MAPK in TGF-β-mediated human lung fibroblast activation and found that TGF-β up-regulated mRNA levels of the CAF marker αSMA in a p38-dependent manner (Fig. 5A,B; Supplemental Fig. S5E,F). Similarly, in human lung CAFs, inhibition of p38MAPK or genetic ablation of p38 expression induced a significant reduction in αSMA mRNA levels (Fig. 5C; Supplemental Fig. S5G) without affecting fibroblast mitochondrial activity (Supplemental Fig. S5A,B). Moreover, in human lung fibroblast cells, TGF-β-dependent increases in the levels of tenascin C, fibronectin, collagen 1A1, and lysyl oxidase mRNAs were dependent on p38MAPK activity (Supplemental Fig. S5C). Additionally, in human lung CAF cells, p38 inhibition repressed fibronectin and tenascin C mRNA levels (Supplemental Fig. S5D). Taken together, these data suggested that p38 governed CAF-dependent ECM organization, and this activity could be critical in supporting tumor growth.
Figure 5.

p38MAPK–hyaluronan-dependent signaling supports human CAF activation. (A) Quantification of mRNA level of αSMA in human lung fibroblasts following 48 h of TGF-β1 stimulation in the presence of inhibitor LY2228820. n = 3. Mean ± SD. (***) P < 0.001. (B) Quantification of mRNA level of αSMA in human lung CAFs in the presence of inhibitor LY22 for 48 h relative to human lung fibroblasts as control (Fibro). n = 3. Mean ± SD. (**) P < 0.01; (***) P < 0.001; (NS) not significant. (C) Quantification of mRNA levels of αSMA in human lung CAFs after genetic ablation of p38 relative to human lung fibroblasts as control (Fibro). n = 3. Mean ± SD. (**) P < 0.01; (***) P < 0.001. (D) Orthogonal light visualization of Picrosirus red coloration showing ECM remodeling by lung CAFs in the presence of LY or SB. (E) Quantification of ECM remodeling shown in D. n = 3. Mean ± SD. (F) Orthogonal light visualization of Picrosirus red coloration showing ECM remodeling by TGFβ1-stimulated lung fibroblasts in the presence of LY or SB. (G) Quantification of ECM remodeling shown in F. n = 3. Mean ± SD. (*) P < 0.05; (***) P < 0.001. (H) Representative image of PCNA staining of A427 tumor cells plated on CAF-derived matrix in the presence of LY or SB. (I) Quantification of PCNA staining shown in H. n = 3. Mean ± SD. (***) P < 0.001. (J) Quantification of PCNA-positive A427 tumor cells plated on TGFβ1-activated fibroblast-derived matrix following siRNA transfection. n = 3. Mean ± SD. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (K) Representative images of quantification shown in J. (L) Quantification of PCNA-positive A427 tumor cells plated on lung CAF-derived matrix following siRNA transfection. n = 3. Mean ± SD. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (M) Representative images of quantification shown in L.

p38MAPK–hyaluronan-dependent signaling supports human CAF activation. (A) Quantification of mRNA level of αSMA in human lung fibroblasts following 48 h of TGF-β1 stimulation in the presence of inhibitor LY2228820. n = 3. Mean ± SD. (***) P < 0.001. (B) Quantification of mRNA level of αSMA in human lung CAFs in the presence of inhibitor LY22 for 48 h relative to human lung fibroblasts as control (Fibro). n = 3. Mean ± SD. (**) P < 0.01; (***) P < 0.001; (NS) not significant. (C) Quantification of mRNA levels of αSMA in human lung CAFs after genetic ablation of p38 relative to human lung fibroblasts as control (Fibro). n = 3. Mean ± SD. (**) P < 0.01; (***) P < 0.001. (D) Orthogonal light visualization of Picrosirus red coloration showing ECM remodeling by lung CAFs in the presence of LY or SB. (E) Quantification of ECM remodeling shown in D. n = 3. Mean ± SD. (F) Orthogonal light visualization of Picrosirus red coloration showing ECM remodeling by TGFβ1-stimulated lung fibroblasts in the presence of LY or SB. (G) Quantification of ECM remodeling shown in F. n = 3. Mean ± SD. (*) P < 0.05; (***) P < 0.001. (H) Representative image of PCNA staining of A427 tumor cells plated on CAF-derived matrix in the presence of LY or SB. (I) Quantification of PCNA staining shown in H. n = 3. Mean ± SD. (***) P < 0.001. (J) Quantification of PCNA-positive A427 tumor cells plated on TGFβ1-activated fibroblast-derived matrix following siRNA transfection. n = 3. Mean ± SD. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (K) Representative images of quantification shown in J. (L) Quantification of PCNA-positive A427 tumor cells plated on lung CAF-derived matrix following siRNA transfection. n = 3. Mean ± SD. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (M) Representative images of quantification shown in L. To assess the role of CAFs during tumor growth, we investigated the potential role of p38MAPK in establishing the physical characteristics of CAF-derived ECM. We used orthogonal light to visualize Picrosirius red-stained, CAF-derived ECM and found that inhibiting p38 activity with two different inhibitors (Fig. 5D,E) or genetic ablation of p38 expression in CAFs (Supplemental Fig. S5H,I) caused a reduction in the deposition of collagen-cross-linked fibers. Conversely, TGF-β-activated fibroblasts showed a p38-dependent increase in collagen cross-linking compared with the vehicle control (Fig. 5F,G). Taken together, these data suggested that p38MAPK signaling was essential for fibroblast activation in lung cancer and that inhibition of this signaling pathway could reduce ECM remodeling. Next, we investigated whether p38 in activated fibroblasts played a role in ECM remodeling to promote lung cancer cell proliferation. The human lung cancer cell lines bearing different mutations—A427, A549, CALU-1, and H838—were seeded on a CAF-derived ECM and stained for PCNA, a cell proliferation marker. We found that inhibition of p38MAPK activity or genetic ablation of p38 in CAFs during ECM remodeling affected the biochemical properties of the derived matrix and altered the ability of the ECM to stimulate tumor cell proliferation (Fig. 5H,I; Supplemental Fig. S5J–O). Finally, in a tumor invasion assay with 3D spheroids cocultured with a collagen-rich matrix, we demonstrated that A427 tumor cell invasion was significantly reduced when p38 kinase was inhibited or specifically ablated in CAF cells (Supplemental Fig. S5P–S). Taken together, these results demonstrated that p38-dependent signaling governed fibroblast activation and led to the development of a protumorigenic ECM. To understand the role of the p38hyaluronan axis in protumorigenic fibroblast activation, we used siRNAs to knock down gene expression in fibroblasts and tested their function in TGF-β-dependent matrix remodeling. We silenced the expression of p38MAPK, Has2, and Arg1 in addition to several other genes that were differentially expressed in wild-type and p38 lung fibroblasts (Fig. 5J–M). We also included a positive control for hyaluronan synthesis, UDP-glucose 6-dehydrogenase (UGDH), to confirm or rule out the potential role of hyaluronan in matrix remodeling and cancer cell proliferation. Both TGF-β-activated and CAF-derived matrices were produced after siRNA depletion of the indicated genes. After plating A427 lung cancer cells on each matrix, we analyzed cancer cell proliferation. Among the tested genes, we found that two HAS family member genes (HAS1 and HAS2) and UGDH significantly regulated matrix-dependent tumor cell proliferation. This result confirmed that hyaluronan synthesis was an essential component of protumorigenic ECM produced by fibroblasts.

HAS2 drives p38-dependent protumorigenic CAF activities

Next, we turned to an analysis of the role of p38MAPK in HAS2 expression and hyaluronan induction in human cells. We found that conditioned medium from a human lung cancer cell line, A427, efficiently induced both HAS2 expression and hyaluronan accumulation in human lung fibroblasts in a p38MAPK-dependent manner (Fig. 6A–D). We tested a panel of different cytokines and found that both TGF-β and TNF-α could efficiently induce p38-dependent HAS2 expression and hyaluronan production. Furthermore, the p38MAPK inhibitor efficiently down-regulated both HAS2 expression and hyaluronan production in human lung CAFs (Fig. 6A–D).
Figure 6.

HAS2 drives p38-dependent protumorigenic CAF activities. (A) Quantification of HAS2 mRNA in human lung fibroblasts following cytokine or tumor cell conditioned medium stimulation in the presence or absence of p38MAPK inhibitors (LY or SB). Expression in the control group (fibroblast vehicle) was assumed to be 1, to which relevant samples were compared. Data are means ± SD. n = 3. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (B) Representative images of fibroblast activation (αSMA+ cells) and hyaluronan deposition (HABP labelling) in the ECM of fibroblasts exposed to TGFβ or A427 conditioned medium. Bar, 50 μm. (C) Quantification of aSMA+ cells shown in B. Mean ± SD. n = 3. (***) P < 0.001. (D) Quantification of HABP staining shown in B. Mean ± SD. n = 3. (**) P < 0.01; (***) P < 0.001. (E) Representative images of PDTX (T24 and T27) spheroids in the presence of LY, SB, or 4MU inhibitors. (F) Quantification of the PDTX tumor cell invasion shown in E. (G) Representative images of PDTX spheroid cells stained for E-cadherin (red), PCNA (green), and DAPI (blue). (H) Quantification of PCNA-positive and E-cadherin-positive cells from G. Mean ± SD. n = 3. (***) P < 0.001.

HAS2 drives p38-dependent protumorigenic CAF activities. (A) Quantification of HAS2 mRNA in human lung fibroblasts following cytokine or tumor cell conditioned medium stimulation in the presence or absence of p38MAPK inhibitors (LY or SB). Expression in the control group (fibroblast vehicle) was assumed to be 1, to which relevant samples were compared. Data are means ± SD. n = 3. (*) P < 0.05; (**) P < 0.01; (***) P < 0.001. (B) Representative images of fibroblast activation (αSMA+ cells) and hyaluronan deposition (HABP labelling) in the ECM of fibroblasts exposed to TGFβ or A427 conditioned medium. Bar, 50 μm. (C) Quantification of aSMA+ cells shown in B. Mean ± SD. n = 3. (***) P < 0.001. (D) Quantification of HABP staining shown in B. Mean ± SD. n = 3. (**) P < 0.01; (***) P < 0.001. (E) Representative images of PDTX (T24 and T27) spheroids in the presence of LY, SB, or 4MU inhibitors. (F) Quantification of the PDTX tumor cell invasion shown in E. (G) Representative images of PDTX spheroid cells stained for E-cadherin (red), PCNA (green), and DAPI (blue). (H) Quantification of PCNA-positive and E-cadherin-positive cells from G. Mean ± SD. n = 3. (***) P < 0.001. We next investigated the potential anti-tumor activities of both p38MAPK and hyaluronan synthesis inhibitors. We studied both the invasive potential and proliferation properties of patient-derived primary lung cancer cells in vitro (designated as T24 and T27 cells). Spheroids comprised of cancer cells were embedded in a collagen I gel rich in laminins. We found that inhibition of p38 activity (with two different inhibitors) or hyaluronan synthesis (with 4MU) significantly reduced the invasiveness of T24 and T27 tumor cells in vitro (Fig. 6E,F). Under these experimental conditions, targeting p38MAPK or hyaluronan synthesis also led to reduced PCNA staining of E-cadherin-positive cells within the spheroids (Fig. 6G,H). This finding indicated that the inhibitors specifically affected epithelial tumor cell proliferation. Taken together, these data demonstrated that the p38MAPK and hyaluronan synthesis signaling pathways were critical for primary human lung cancer growth in vitro.

Inhibiting p38MAPK and hyaluronan synthesis blocks lung cancer growth in vivo

Inhibition of the p38hyaluronan pathway could efficiently reduce the tumor-promoting activity of stromal fibroblasts in vitro. Next, we investigated whether a similar effect could be detected in vivo. First, we evaluated the effects of the p38MAPK inhibitor LY2228820 and the hyaluronan synthesis inhibitor 4MU on cancer growth in a mouse model of KRAS-induced lung tumorigenesis. We found that treating mice with either LY2228820 or 4MU significantly reduced the mouse lung tumor burden (Fig. 7A,B, left panels). Furthermore, both inhibitors significantly reduced hyaluronan deposition at the tumor site (Fig. 7A,B, right panels).
Figure 7.

Inhibiting p38MAPK and hyaluronan synthesis blocks lung cancer growth in vivo. Five-week-old KRAS mice (six mice per group) were either treated with vehicle control, injected intraperitoneally with 250 μg of LY2228820 (LYi) per mouse twice per week for 5 wk (A), or treated with 4MU in the drinking water and gavaging twice per week (B). Representative images of the lung section show relative tumor area as the percentage relative to total lung area; asterisks indicate lesions. Sections were stained with HABP, and one representative image is shown. Analysis of intensity staining was quantified as the mean of the pixel number per area ratio and is presented as graphs. n = 8 ± SD. (*) P < 0.05. Primary T27 human lung cancer cells expressing secreted luciferase were injected intravenously into NSG mice to develop lung lesions. Sixteen days to 20 d after injection, mice were either left untreated (control), injected with LY2228820 (LYi) twice per week until day 43 (C,D), treated with 4MU in the drinking water and gavaging until day 45 (E,F). (C,E) Mice were bled once per week to measure luciferase readings (left graph) (n = 5), and relative tumor area was measured on hematoxylin/eosin-stained slides (right graph) (n = 5). Hyaluronan deposition was analyzed by HABP staining (representative images are shown). The intensity was quantified as the mean of the pixel number per area ratio (n = 16) and is presented as graphs. Mean ± SD. (*) P < 0.05.

Inhibiting p38MAPK and hyaluronan synthesis blocks lung cancer growth in vivo. Five-week-old KRAS mice (six mice per group) were either treated with vehicle control, injected intraperitoneally with 250 μg of LY2228820 (LYi) per mouse twice per week for 5 wk (A), or treated with 4MU in the drinking water and gavaging twice per week (B). Representative images of the lung section show relative tumor area as the percentage relative to total lung area; asterisks indicate lesions. Sections were stained with HABP, and one representative image is shown. Analysis of intensity staining was quantified as the mean of the pixel number per area ratio and is presented as graphs. n = 8 ± SD. (*) P < 0.05. Primary T27 human lung cancer cells expressing secreted luciferase were injected intravenously into NSG mice to develop lung lesions. Sixteen days to 20 d after injection, mice were either left untreated (control), injected with LY2228820 (LYi) twice per week until day 43 (C,D), treated with 4MU in the drinking water and gavaging until day 45 (E,F). (C,E) Mice were bled once per week to measure luciferase readings (left graph) (n = 5), and relative tumor area was measured on hematoxylin/eosin-stained slides (right graph) (n = 5). Hyaluronan deposition was analyzed by HABP staining (representative images are shown). The intensity was quantified as the mean of the pixel number per area ratio (n = 16) and is presented as graphs. Mean ± SD. (*) P < 0.05. Next, we tested these findings in primary human lung cancer. First, we established an orthotopic tumor model by growing primary human lung tumor cells into the lungs of NSG mice to evaluate growth in a natural microenvironment. To facilitate the analysis of tumor growth, we engineered patient-derived human lung cancer cells to express secreted luciferase. We confirmed that the luciferase activity detected in the blood of transplanted animals correlated well with tumor progression in the lungs. Both LY2228820 (Fig. 7C) and 4MU (Fig. 7E) significantly reduced the tumor burden of orthotopically transplanted primary human lung cancer cells, based on both the luciferase activity in the blood and the tumor area. Furthermore, we observed a significant reduction in hyaluronan deposition at the tumor site in the presence of either inhibitor (Fig. 7D,F). These data strongly argued that inhibitors of p38MAPK and hyaluronan synthesis could efficiently block the growth of primary human lung cancer in vivo.

Discussion

Lung cancer is among the top three most frequent cancers and the leading cause of cancer-related mortality worldwide (Zhang et al. 2014). It is becoming clear that the most effective approach for treating lung cancer requires therapies that target both tumor cells and the tumor microenvironment. In this respect, stromal fibroblasts could be attractive targets because they are known to provide additional signals to support tumor growth, survival, and drug resistance (Bremnes et al. 2011; El-Nikhely et al. 2012). Unfortunately, no treatment option exists that successfully targets this component of the tumor microenvironment. Here, we propose that targeting the p38hyaluronan pathway could provide a clinically relevant option for blocking the tumor-promoting activities of the stroma. p38MAPK has been implicated previously in regulating lung homeostasis (Brancho et al. 2003; Hui et al. 2007; Ventura et al. 2007). Deleting p38MAPK in lung epithelium resulted in increased proliferation and defective differentiation of lung progenitors, which correlated with elevated expression of EGFR. Consistent with those results, a conditional p38 deletion in Kras-bearing epithelial cells facilitated lung tumorigenesis. Those data supported the notion that reducing the levels of p38MAPK in cancer cells could enhance tumorigenesis; thus, p38MAPK could play the role of a tumor suppressor. In the present study, we confirmed that targeting p38 specifically in cancer cells promoted tumor growth (Fig. 1G). Much to our surprise, however, the systemic inactivation of p38MAPK appeared to have a completely opposite, tumor-suppressive function (Figs. 1E, 2F). Our study revealed this critical role for p38MAPK as a tumor promoter in the lung cancer microenvironment. Noncancer cells can account for as much as 90% of a tumor cell mass. Moreover, there is a strong correlation between an increasing amount of stroma with cancer malignancy and patient prognosis, which makes analysis of the tumor microenvironment clinically relevant (Bremnes et al. 2011). Fibroblasts that are recruited into tumors (CAFs) are the main components of the stroma of many solid cancers, including carcinomas (Shiga et al. 2015; Gascard and Tlsty 2016). However, the nature of the initial signals that instigate the creation of the tumor niche is less well established. Here, we provide evidence that p38MAPK could play an important role in subverting the normally repressive stroma to become protumorigenic. We showed that lung fibroblasts from cancer-free mice could be rapidly reprogrammed to sustain tumor growth. This process was characterized by p38-dependent activation of Has2 expression in fibroblasts and the subsequent accumulation of hyaluronan. These early stages of p38MAPK activation and hyaluronan production were critical for fibroblast reprogramming into CAFs. The inhibition or the lack of CAFs in turn attenuated lung cancer cell proliferation in vitro and in vivo. Hyaluronan is a major component of the ECM (Toole 2004). Hyaluronan is specifically enriched around proliferating and migrating cells in rapidly remodeling tissues, including cancer. Hyaluronan has key regulatory roles in tissue homeostasis and possesses signaling properties through its interaction with cell surface receptors, such as CD44 and RHAMM (Toole 2004). Most malignant tumors contain elevated amounts of CD44, and many reports showed that CD44 is abundant on the surface of cancer stem cells (Yan et al. 2015). The presence of hyaluronan could promote clustering of EGFR and CD44, which form a functional unit on the membrane of tumor cells that could be specifically relevant to lung cancer (Meran et al. 2011). Consistent with these results, we found that stromal fibroblasts promote p38hyaluronan-dependent cancer cell growth through CD44 (Fig. 3J). Here, we found that, in stromal fibroblasts, HAS2 expression was specifically regulated in a p38MAPK-dependent manner in response to multiple factors, including TGF-β, Wnt, and TNF-α. HAS2 is involved in the epithelial–mesenchymal transition during embryonic cardiac cushion morphogenesis (Camenisch et al. 2000) and also increased during malignant progression. Elevated HAS2 levels were observed specifically in nests of cancer cells and at the invading edges of breast carcinomas (Toole 2001). Furthermore, overexpression of HAS2 in the epithelium induced the transition of epithelial cells to a more fibroblastic, migratory phenotype and enhanced anchorage-independent growth in soft agar (Li and Heldin 2001; Zoltan-Jones et al. 2003). In our setting, overexpression of HAS2 or inclusion of HMW-HA fully reversed the tumor-suppressive properties of normal fibroblasts (Figs. 3E,F, 4C,D). Our results are consistent with those from other studies, which showed, both in vivo and in vitro, that ectopic expression of HAS proteins (and consequent increases in hyaluronan synthesis) promoted tumor progression (Koyama et al. 2007, 2008). The activation of p38MAPK and accumulation of hyaluronan in lung tumors could have important therapeutic implications. The fact that lung cancer depends on supporting stromal cells implies that the p38hyaluronan axis is an attractive target for intervention. Here, we showed the importance of hyaluronan in establishing a cancer niche at early stages of tumorigenesis. However, increasing evidence has demonstrated that both CD44 and its ligand, hyaluronan, contribute to late stages of cancer, including the invasive behavior and metastasis to bones, which is common among lung carcinomas (Hiraga et al. 2013). CD44 is abundantly expressed on NSCLC cells (Luo et al. 2014); this property could facilitate cancer cell invasion into hyaluronan-rich sites in bone marrow matrices. Thus, targeting the p38MAPK–hyaluronan axis could have important treatment benefits beyond targeting the initial steps of lung tumorigenesis.

Materials and methods

Mouse strains

To generate p38Y182F and p38T180A knock-in mice, the previously described targeting vector (Wong et al. 2009) was used that contained the equivalent of 4.5 kb of mouse DNA with an exon containing the phosphorylation sites of p38MAPK. The phosphorylation sites were mutated by site-directed mutagenesis. Targeted embryonic stem clones were generated, positive clones were screened and karyotyped, and one of the clones was used for blastocyst injection to generate mice in the C57Bl/6 background. P38Y182F/+ mice were interbred to generate littermates with the following genotypes: p38+/+ (wild type) and p38Y182F/Y182F (p38ki/ki). MEFs were purified from 12.5-d embryos. P38fl/fl mice were obtained from RIKEN [C57BL/6-TgH(p38)/118] (Nishida et al. 2004), and hematopoietic-specific Cre-line Mx1-cre [C.Cg-Tg(Mx1-cre)1Cgn/J], S100A4-cre (FSP1-cre), and p53-deficient mice (p53−/−) and mice with somatic activation of K-Ras were from the Jackson laboratory. To induce activation of Mx1 promoter, mice were injected at 4–5 wk of age with 600 µg of p-I-C per mouse eight times, twice per week. For xenografts experiments, either nude mice or NSG mice were used. For the K-rasG12D-driven lung tumorigenesis, the number of lung lesions was assessed at 10 wk of age unless otherwise specified.

Primary cell isolation and cell culture conditions

For primary lung fibroblasts, lungs were perfused with PBS, cut into small pieces, and digested in 2 mg/mL collagenase IV, 1 mg/mL dispase, and 0.1 mg/mL DNase I in DMEM/F12 medium. Before plating in DMEM/F12 medium supplemented with 15% FCS, cells were passed through a 100-µm cell strainer and pretreated for 2 min with hypotonic red cell lysis buffer. The purity of primary lung fibroblasts was confirmed with no contamination by other cell types (Supplemental Fig. S3A). To establish a primary mouse lung cancer cell line, tumor lesions from K-rasG12D/+/ p53−/− mice or p38ki/ki/p53−/− were excised, digested into single-cell suspension, and plated in 50% Matrigel (BD) supplemented with B27, 20 ng/mL EGF, and 20 ng/mL bFGF in DMEM/F12 medium. Once tumor cells formed visible spheroids, cells were resuspended and plated onto plastic for propagation. For CAF induction, lung fibroblasts were serum-starved for 2 d and treated with 50 ng/mL recombinant TGF-β1 (Dapcel, Inc.) for another 2 d. Conditioned medium used for treatment was collected from lung cancer cells cultivated for 3 d in medium supplemented with 0.5% FCS. Recombinant Wnt3a and R-spondin were used at a concentration of 50 ng/mL (R&D), and TNFα was used at a concentration of 100 ng/mL. MEFs, LLC cells, and established mouse primary lung cancer cells were maintained in DMEM supplemented with 10% FCS (Hyclone) and antibiotics. Primary human lung cancer cell lines T27 and T24 were cultivated in DMEM/F12 medium supplemented with 2% FCS, B27, and 20 ng/mL EGF. Next-generation sequencing (NGS)-based analysis of amplicons for the most common mutations of NSCLC was performed for primary human lung cancer cells used in studies (T27 and T24). T27 cells carry the NRAS mutation in codon R68T; common mutations were not identified in T24 cells.

Sphere-forming assay

Human or mouse lung cancer cells (1 × 104 cells per well for mouse K-ras/p53−/− cells or 3 × 104 cells per well for human T27 and T24 cells) were plated in triplicate in ultralow attachment six-well plates (Costar) in 2 mL of sphere DMEM/F12 medium supplemented with 4% BSA, B27, 20 ng/mL EGF, and 20 ng/mL bFGF. For coculture experiments, tumor cells were mixed with three times excess of primary lung fibroblasts in triplicate. After 6–8 d, images of formed spheres were taken, the number of spheroids was counted, all spheroids were resuspended in trypsin, and the number of cells was counted manually using a hematology cell counter.

Tumor cell xenografts

P38+/+ wild-type MEFs or p38ki/ki MEFs were transformed with E1A and RasV12 oncogenes, and established stable cell lines were xenografted into nude mice subcutaneously as 1 × 105 cells per flank with at least three mice per group. The same cell number was used for xenografting of primary mouse lung cancer cells established from p38+/+ and p38−/− mice in the Kras/p53−/− background. Mice were sacrificed once tumor size reached 1.5–2 cm in diameter. Solid tumors were excised, weighed, and imaged. For coinjection of K-ras/p53−/− mouse lung cancer cells with mouse fibroblasts, 1 × 105 cancer cells were mixed in Heanks solution with 3 × 105 mouse lung fibroblasts and injected subcutaneously into nude mice. For the orthotopic model, 1 × 106 human T27 lung cancer cells were intravenously injected into NSG mice, and tumor progression was monitored weekly by luciferase readings. Five microliters of tail vein blood was diluted in 100 µL of luciferase assay reagent supplemented with the substrate (Promega) followed by reading using a TECAN plate reader. Mice were sacrificed 6 wk after injection.

Statistical analysis

Values are means ± SD. Comparison of mean values between groups was evaluated by two-tailed Student's t-test using GraphPad Prizm. P-values <0.05 were considered significant. The experiments with three biological replicates were always done in triplicate. Any P-value <0.05 is designated with one asterisk, P-value <0.01 is designated with two asterisks, and P-value <0.001 is designated with three asterisks. “NS” indicates nonsignificant.
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Journal:  Mol Cell       Date:  2000-07       Impact factor: 17.970

2.  Disruption of hyaluronan synthase-2 abrogates normal cardiac morphogenesis and hyaluronan-mediated transformation of epithelium to mesenchyme.

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Review 3.  Hyaluronan: from extracellular glue to pericellular cue.

Authors:  Bryan P Toole
Journal:  Nat Rev Cancer       Date:  2004-07       Impact factor: 60.716

4.  p38MAPK plays a crucial role in stromal-mediated tumorigenesis.

Authors:  Elise Alspach; Kevin C Flanagan; Xianmin Luo; Megan K Ruhland; Hui Huang; Ermira Pazolli; Maureen J Donlin; Timothy Marsh; David Piwnica-Worms; Joseph Monahan; Deborah V Novack; Sandra S McAllister; Sheila A Stewart
Journal:  Cancer Discov       Date:  2014-03-26       Impact factor: 39.397

5.  p38alpha mitogen-activated protein kinase plays a critical role in cardiomyocyte survival but not in cardiac hypertrophic growth in response to pressure overload.

Authors:  Kazuhiko Nishida; Osamu Yamaguchi; Shinichi Hirotani; Shungo Hikoso; Yoshiharu Higuchi; Tetsuya Watanabe; Toshihiro Takeda; Soh Osuka; Takashi Morita; Gen Kondoh; Yoshihiro Uno; Kazunori Kashiwase; Masayuki Taniike; Atsuko Nakai; Yasushi Matsumura; Jun-ichi Miyazaki; Tatsuhiko Sudo; Kenichi Hongo; Yoichiro Kusakari; Satoshi Kurihara; Kenneth R Chien; Junji Takeda; Masatsugu Hori; Kinya Otsu
Journal:  Mol Cell Biol       Date:  2004-12       Impact factor: 4.272

Review 6.  Influence of tumour micro-environment heterogeneity on therapeutic response.

Authors:  Melissa R Junttila; Frederic J de Sauvage
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962

7.  4-Methylumbelliferone inhibits hyaluronan synthesis by depletion of cellular UDP-glucuronic acid and downregulation of hyaluronan synthase 2 and 3.

Authors:  Anne Kultti; Sanna Pasonen-Seppänen; Marjo Jauhiainen; Kirsi J Rilla; Riikka Kärnä; Emma Pyöriä; Raija H Tammi; Markku I Tammi
Journal:  Exp Cell Res       Date:  2009-03-13       Impact factor: 3.905

Review 8.  Microenvironmental regulation of metastasis.

Authors:  Johanna A Joyce; Jeffrey W Pollard
Journal:  Nat Rev Cancer       Date:  2008-03-12       Impact factor: 60.716

9.  Malignant transformation of mouse primary keratinocytes by Harvey sarcoma virus and its modulation by surrounding normal cells.

Authors:  G P Dotto; R A Weinberg; A Ariza
Journal:  Proc Natl Acad Sci U S A       Date:  1988-09       Impact factor: 11.205

Review 10.  Cancer-Associated Fibroblasts: Their Characteristics and Their Roles in Tumor Growth.

Authors:  Kazuyoshi Shiga; Masayasu Hara; Takaya Nagasaki; Takafumi Sato; Hiroki Takahashi; Hiromitsu Takeyama
Journal:  Cancers (Basel)       Date:  2015-12-11       Impact factor: 6.639

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  15 in total

1.  Inhibition of the Stromal p38MAPK/MK2 Pathway Limits Breast Cancer Metastases and Chemotherapy-Induced Bone Loss.

Authors:  Bhavna Murali; Qihao Ren; Xianmin Luo; Douglas V Faget; Chun Wang; Radia Marie Johnson; Tina Gruosso; Kevin C Flanagan; Yujie Fu; Kathleen Leahy; Elise Alspach; Xinming Su; Michael H Ross; Barry Burnette; Katherine N Weilbaecher; Morag Park; Gabriel Mbalaviele; Joseph B Monahan; Sheila A Stewart
Journal:  Cancer Res       Date:  2018-08-09       Impact factor: 12.701

2.  Blockade of p38 kinase impedes the mobilization of protumorigenic myeloid populations to impact breast cancer metastasis.

Authors:  Justin Zonneville; Sean Colligan; Sydney Grant; Alexandra Miller; Paul Wallace; Scott I Abrams; Andrei V Bakin
Journal:  Int J Cancer       Date:  2020-05-28       Impact factor: 7.396

3.  Requirement for epithelial p38α in KRAS-driven lung tumor progression.

Authors:  Jessica Vitos-Faleato; Sebastián M Real; Nuria Gutierrez-Prat; Alberto Villanueva; Elisabet Llonch; Matthias Drosten; Mariano Barbacid; Angel R Nebreda
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-22       Impact factor: 11.205

Review 4.  Lung carcinogenesis and fibrosis taken together: just coincidence?

Authors:  Ioanna Giopanou; Kristina A M Arendt; Georgios T Stathopoulos
Journal:  Curr Opin Pulm Med       Date:  2017-07       Impact factor: 3.155

5.  Netrin G1 Promotes Pancreatic Tumorigenesis through Cancer-Associated Fibroblast-Driven Nutritional Support and Immunosuppression.

Authors:  Ralph Francescone; Débora Barbosa Vendramini-Costa; Janusz Franco-Barraza; Jessica Wagner; Alexander Muir; Allison N Lau; Linara Gabitova; Tatiana Pazina; Sapna Gupta; Tiffany Luong; Dustin Rollins; Ruchi Malik; Roshan J Thapa; Diana Restifo; Yan Zhou; Kathy Q Cai; Harvey H Hensley; Yinfei Tan; Warren D Kruger; Karthik Devarajan; Siddharth Balachandran; Andres J Klein-Szanto; Huamin Wang; Wafik S El-Deiry; Matthew G Vander Heiden; Suraj Peri; Kerry S Campbell; Igor Astsaturov; Edna Cukierman
Journal:  Cancer Discov       Date:  2020-10-30       Impact factor: 39.397

Review 6.  A Trickster in Disguise: Hyaluronan's Ambivalent Roles in the Matrix.

Authors:  Lena Bohaumilitzky; Ann-Kathrin Huber; Eva Maria Stork; Simon Wengert; Franziska Woelfl; Heike Boehm
Journal:  Front Oncol       Date:  2017-10-09       Impact factor: 6.244

7.  Cancer suppression by systemic inactivation of p38MAPK.

Authors:  Anna Brichkina; Dmitry V Bulavin
Journal:  Oncotarget       Date:  2017-02-28

8.  [Research Progress of Cancer-associated Fibroblasts in Lung Cancer].

Authors:  Chongbiao Huang; Jie Xu; Zengxun Li
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-04-20

9.  Activation of p38α stress-activated protein kinase drives the formation of the pre-metastatic niche in the lungs.

Authors:  Jun Gui; Farima Zahedi; Angelica Ortiz; Christina Cho; Kanstantsin V Katlinski; Kevin Alicea-Torres; Jinyang Li; Leslie Todd; Hongru Zhang; Daniel P Beiting; Cindy Sander; John M Kirkwood; Bryan E Snow; Andrew C Wakeham; Tak W Mak; J Alan Diehl; Constantinos Koumenis; Sandra W Ryeom; Ben Z Stanger; Ellen Puré; Dmitry I Gabrilovich; Serge Y Fuchs
Journal:  Nat Cancer       Date:  2020-05-25

Review 10.  Hyaluronan, Cancer-Associated Fibroblasts and the Tumor Microenvironment in Malignant Progression.

Authors:  James B McCarthy; Dorraya El-Ashry; Eva A Turley
Journal:  Front Cell Dev Biol       Date:  2018-05-08
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