| Literature DB >> 32295249 |
Roberto Benelli1, Delfina Costa1, Luca Mastracci2,3, Federica Grillo2,3, Mark Jon Olsen4, Paola Barboro5, Alessandro Poggi1, Nicoletta Ferrari1.
Abstract
Colorectal cancer's (CRC) ability to invade local tissues and lymph nodes and generate distant metastases is the key for TNM classification. Aspartate-β-hydroxylase (ASPH), a transmembrane protein that catalyzes Notch receptors and ligand activation, is involved in tumor invasion. Because Notch is involved in gut homeostasis, it could be a target for CRC therapy. ASPH mRNA and protein expression, promoter methylation and gene copy numbers were evaluated using the TCGA and CPTAC human CRC datasets. Using digital pathology, ASPH was scored in the luminal area (LM), center tumor (CT) and invasive margin (IM) of 100 human CRCs. The effect of ASPH targeting on invasiveness and viability was tested by siRNA knockdown and small molecule inhibitors (SMI). Bioinformatics analysis showed increased expression of ASPH mRNA and protein in CRC, paired with a decreased methylation profile. ASPH genetic gain or amplification was frequent (56%), while deletion was rare (0.03%). Digital pathology analysis showed that ASPH exerted its pathological activity in the invasive margin of the tumor, affecting invasive front morphology, tumor budding and patients' overall survival. In vitro, ASPH targeting by siRNA or SMI reduced cell invasion and growth and caused Notch-1 downregulation. This study demonstrates that ASPH targeting by specific inhibitors could improve CRC treatment strategies.Entities:
Keywords: ASPH; cell invasion; colorectal cancer; tumor budding
Year: 2020 PMID: 32295249 PMCID: PMC7226058 DOI: 10.3390/cancers12040971
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Bioinformatics analysis of aspartate-β-hydroxylase (ASPH) overexpression in CRC: (a) analysis of ASPH mRNA expression in normal mucosa and colorectal cancer (CRC) samples from TCGA database (UALCAN website); (b) ASPH promoter methylation status in normal mucosa and CRC samples from TCGA database (UALCAN website; beta-value scale ranges from 0 = unmethylated to 1 = fully methylated); (c) analysis of ASPH protein levels by mass spectrometry in normal mucosa and CRC samples from the CPTAC database (UALCAN website; Z-values represent standard deviations from the median across the samples); (d) putative copy number alterations of the ASPH gene computed by GISTIC algorithm in TCGA database (c-BioPortal website; shallow deletion = 1− copy, gain = 1+ copy, amplification ≥ 2+). Box plots represent the quartile distribution of data around the median value. Statistics are reported in each graph as the calculated p value.
Figure 2Heatmaps of mRNA-clusters significantly correlated with ASPH expression (red = high, green = low), selected in Table S1: (a) Immune signature (n = 222); (b) Notch signature (n = 203); (c) Invasive signature (n = 203). Each cluster is ordered according to Pearson’s r coefficients of each marker against ASPH, from higher (left) to lower (right). The maximum r coefficient was 0.330 (SNW1), and the lowest was -0.304 (LFNG); thus, no marker showed a widespread correlation with ASPH among analyzed samples. Microarray Z-scores for the selected markers were extracted from the COAD Firehouse legacy database (TCGA) using the cBioPortal web interface.
Figure 3ASPH expression in the tumor invasive margin (IM) correlates with the pattern of local invasion and patients’ overall survival: invasive front type (I = infiltrative, E = expansive), tumor budding (1 = 0–4 buds, 2 = 5–9 buds, 3 ≥ 10 buds) and overall survival (L = low, H = high ASPH levels dichotomized by the median value) show a strong relation only with ASPH levels scored in CRC IM. Center of the tumor (CT)-scored ASPH shows a statistically significant relation only with tumor budding, while ASPH expressed next to tumor lumen (LM) does not show any relation with these parameters. Box plots represent the quartile distribution of ASPH H-score quantifications in CRC samples around the median value. Statistics are reported in each graph as the calculated p value (Invasive front: Student t-test; Budding: one-way ANOVA; Overall survival: Kaplan–Meier analysis).
Figure 4ASPH silencing or activity inhibition decreases cell invasion and proliferation in a panel of CRC cell lines. Specific ASPH siRNAs visibly downregulate ASPH expression after 18 h (a). Concomitantly, cell invasion (b) and proliferation (c) are significantly inhibited. All these effects are associated with Notch1 inhibition (d). One representative experiment out of three is reported. β-Actin was utilized as a loading control. Means ± SEM are reported. *** p < 0.001. DLD1 and SW480 cell lines were exposed to increasing concentration of MO-I-1144. For the invasion test (e), filters were recovered and counted after 18 h. Representative images of filters from 20 µM treated cells are shown in (f). Cell growth was evaluated after 96 h by the crystal violet assay (g). One representative experiment (conducted on 10 replicates) out of three is reported. Mean ± SEM are reported. ** p < 0.01, *** p < 0.001.