| Literature DB >> 30978569 |
Jing Hao1, Cédric Zeltz2, Melania Pintilie2, Quan Li2, Shingo Sakashita2, Tao Wang2, Michael Cabanero2, Sebastiao N Martins-Filho2, Dennis Y Wang3, Elena Pasko4, Kalpana Venkat2, Joella Joseph5, Vibha Raghavan2, Chang-Qi Zhu2, Yu-Hui Wang2, Nadeem Moghal5, Ming-Sound Tsao6, Roya Navab7.
Abstract
Carcinoma-associated fibroblasts (CAFs) are abundant stromal cells in tumor microenvironment that are critically involved in cancer progression. Contrasting reports have shown that CAFs can have either pro- or antitumorigenic roles, indicating that CAFs are functionally heterogeneous. Therefore, to precisely target the cancer-promoting CAF subsets, it is necessary to identify specific markers to define these subpopulations and understand their functions. We characterized two CAFs subsets from 28 non-small cell lung cancer (NSCLC) patient tumors that were scored and classified based on desmoplasia [mainly characterized by proliferating CAFs; high desmoplastic CAFs (HD-CAF; n = 15) and low desmoplastic CAFs (LD-CAF; n = 13)], which is an independent prognostic factor. Here, for the first time, we demonstrate that HD-CAFs and LD-CAFs show different tumor-promoting abilities. HD-CAFs showed higher rate of collagen matrix remodeling, invasion, and tumor growth compared to LD-CAFs. Transcriptomic analysis identified 13 genes that were differentially significant (fold ≥1.5; adjusted P value < .1) between HD-CAFs and LD-CAFs. The top upregulated differentially expressed gene, ST8SIA2 (11.3 fold; adjusted P value = .02), enhanced NSCLC tumor cell invasion in 3D culture compared to control when it was overexpressed in CAFs, suggesting an important role of ST8SIA2 in cancer cell invasion. We confirmed the protumorigenic role of ST8SIA2, showing that ST8SIA2 was significantly associated with the risk of relapse in three independent NSCLC clinical datasets. In summary, our studies show that functional heterogeneity in CAF plays key role in promoting cancer cell invasion in NSCLC.Entities:
Mesh:
Substances:
Year: 2019 PMID: 30978569 PMCID: PMC6458340 DOI: 10.1016/j.neo.2019.03.009
Source DB: PubMed Journal: Neoplasia ISSN: 1476-5586 Impact factor: 5.715
Figure 1Definition of desmoplasia. H&E slides were prepared from formalin-fixed, paraffin-embedded tissue of surgically resected lung tumors. Each tumor sample was graded as HD or LD based on the percentage of DAs in total tumor stroma, as assessed by two pathologists. The high–desmoplasia area (HDA) stroma is defined by the following characteristics: a high density of fibroblasts with minimal intervening mature collagen, and fibroblasts possessing enlarged nuclei greater than the size of a lymphocyte. If the stromal HDA occupies 50% or more of the tumor stromal area, the tumor is considered to have HD. Conversely, those with <50% HDA are classified as LD.
Figure 2The association between desmoplasia and the RR was tested for 165 patients. (A and B) The criteria for desmoplasia as described in Figure 1 were used to assess desmoplasia in 165 tumors from UHN NSCLC patients. (C) The RR was estimated using the cumulative incidence function, and the comparison between 165 HD and LD tumors was performed using Wald test within the Fine and Gray model. (D) The association between desmoplasia and the RR within adenocarcinoma subgroup was tested for 116 patients. The RR was estimated using the cumulative incidence function, and the comparison between HD and LD tumors was performed using Wald test within the Fine and Gray model.
The Effect of Desmoplasia on Clinical Outcome
| UHN ( | UHN-Adenocarcinoma ( | |||||
|---|---|---|---|---|---|---|
| HR | 95% CI | HR | 95% CI | |||
| Age (≥65 vs. <65) | 1.16 | 0.48-2.77 | .74 | 1.01 | 0.34-3.03 | .98 |
| Sex (M vs. F) | 1.58 | 0.74-3.38 | .24 | 1.11 | 0.45-2.74 | .83 |
| Stage (II vs. I) | 1.54 | 0.72-3.29 | .27 | 1.39 | 0.53-3.61 | .5 |
| Histology (Ade vs. other) | 1.59 | 0.69-3.69 | .28 | |||
| Desmoplasia (HD vs. LD) | 2.47 | 1.11-5.53 | .027 | 3.69 | 1.52-8.98 | .004 |
RR was adjusted for clinical factors in the UHN cohort and adenocarcinoma patient subgroup when the model was weighted for the amount of stroma. The Fine and Gray model was utilized. Ade, adenocarcinoma.
Figure 3Desmoplasia-related CAF heterogeneity influences collagen matrix remodeling and tumor cell growth and dissemination. (A) The collagen gel contraction estimates at each time point for LD-CAFs, HD-CAFs, and their corresponding NFs. The lines represent the averages of the diameters per group and at each specific time point. The comparisons between groups at each time point were performed utilizing the Wilcoxon signed rank test. (B) In vitro Transwell assay measuring the invasion and migration ability of A549 tumor cells in co-culture with HD-CAFs or LD-CAFs. Quantification has been performed using the Image Pro program. Statistic tables for each data are provided in Supplementary data. (C) HD-CAFs, LD-CAFs, and NFs were individually mixed with A549 tumor cells and were co-injected subcutaneously in SCID mice. The graph shows the predicted tumor growth across the groups (81 mice) and analyzed based on mixed-effect model. The significance is analyzed using the mixed-effect model. (D) Heterospheroids of HDEX-CAFs + A549dsred or LDEX-CAFs + A549dsred as well as monospheroid of A549dsred cells were embedded in collagen gel, and the invasion into the collagen type I gel were visualized for 2 days using confocal microscopy. Scale bars: 200 μm. (E) Quantification of the A549dsred tumor cell invading area measured by image J. (F) In vitro Transwell assay measuring the invasion and (G) migration ability of A549 tumor cells co-culture with HDEX-CAFs or LDEX-CAFs. Quantification has been performed using the Image Pro program. Statistical analysis for each data is provided in Supplementary data (Supplementary Table S8-12).
Figure 4Differential gene expressions in HDEX-CAFs versus LDEX-CAFs. (A) Heat map of 13 differential gene expressions between HDEX-CAFs and LDEX-CAFs. Pearson's correlation coefficients between all samples were calculated based on 13 differential gene expressions between HDEX-CAFs and LDEX-CAFs. Agglomerative hierarchical clustering was performed using these correlation coefficients as the distance metric and complete linkage. Rows correspond to individual genes, and columns correspond to individual samples. (B) Five upregulated (fold change ≥ 2; adjusted P value < .1) and one downregulated (fold change ≤ −2; adjusted P value < .1) expression genes in HDEX-CAFs versus LDEX-CAFs were selected for RT-qPCR analysis. (C) Differential gene expressions in Microarray analysis were validated by absolute RT-qPCR using mRNA from three HDEX-CAF and four LDEX-CAF primary cultured cells. (D) Using RT-qPCR, the difference for the top upregulated differential gene expression (ST8SIA2) in extreme desmoplastic tumors in UHN clinical cohort (HDEX-UHN cohort and LDEX-UHN cohort) was calculated, and statistic was performed using Mann-Whitney test. The values were normalized using the housekeeping gene RPS13. Absolute mRNA expression was based on standard curve for each gene using control normal human lung genomic DNA. Statistical analysis for each data is provided in Supplementary data (Supplementary Table S15 and 16).
Figure 5HDEX-CAFs overexpressing ST8SIA2 enhanced A549 NSCLC tumor cell invasion. (A) Western blot analysis for ST8SIA2. Western blot analysis of ST8SIA2 in three HDEX-CAFs and three LDEX-CAFs was studied for ST8SIA2 protein expression. β-Actin used for normalization. (B) The intensity of ST8SIA2 protein expression in HDEX-CAFs and LDEX-CAFs was normalized to its corresponding β-actin, and the ratio was plotted. (C) Using lentiviral strategy, ST8SIA2 shRNAs was infected in HDEX-CAFs, and the level of ST8SIA2 gene expression was measured by absolute qPCR. The values were normalized using the housekeeping gene RPS13. (D) Heterospheroids of ST8SIA2 shRNA-transfected HDEX-CAFs + A549dsred or HDEX-CAFs mock-transfected + A549dsred were embedded in collagen type I matrix, and the tumor cell invasion area was visualized after 2 days. A549 tumor cell invading area was analyzed by Image J. Full-length ST8SIA2 cDNA was infected in HDEX-CAFs (E) or in LDEX-CAFs (G), and the level of ST8SIA2 gene expression was measured. Heterospheroids of HDEX-CAFs overexpressing ST8SIA2 + A549dsred (F) or LDEX-CAFs overexpressing ST8SIA2 + A549dsred (H) were embedded in collagen type I matrix, and the tumor cell invasion area was analyzed. HDEX-CAFs GFP-transfected + A549dsred or LDEX-CAFs GFP-transfected + A549dsred were used as control. Statistical analysis for each data is provided in Supplementary data (Supplementary Table S17-19).
Clinical Impact of ST8SIA2 on the RR for the UHN Cohort
| Data Set | Probe Set/Gene | Hazards Ratio | 95% Confidence Interval | ||
|---|---|---|---|---|---|
| Affymetrix Microarray, extreme desmoplasia values | 71 | X221285_at /ST8SIA2 | 4.93 | 1.14-21.4 | .033 |
| qPCR, extreme desmoplasia values | 69 | X221285_at /ST8SIA2 | 1.18 | 1.06-1.32 | .0027 |
The table shows the clinical impact of ST8SIA2 gene expression measured by microarray (Affymetrix) and qPCR in the UHN clinical cohort. The hazards ratios and the P values were calculated utilizing the Fine and Gray method for competing risks.
Two samples not present in qPCR data were excluded from microarray data. This dataset removes two patient samples from which we were not able to obtain qPCR data.