The study group included predominantly HPV-negative tumors (90.3%), validated with p16 immunohistochemistry, with all patients having a history of long-term smoking. In terms of tumor staging, the majority of the cases (87.1%) were classified as pT4a, one case was pT4b, and the rest were staged as pT3. Almost half of the group, 48.3% of the cases, had pathologically verified metastatic processes, and the distribution of N status was as follows: N1 (28.6%); N2a/N2b/N2c (57.1%), N3 (14.3%).
The majority of patients express a canonical HIF-upregulated proangiogenic signature with almost complete predominancy of HIF-1α overexpression and normal expression levels of the HIF-2α isoform, i.e., HIF-switch is not present in advanced laryngeal cancer.
More than half of patients (56%) with advanced laryngeal carcinoma presented with HIF-1α upregulation (RQ > 2) and in only 10% of the cases HIF-2α overexpression was evident [Figure 1]. Additionally, when a direct comparison of RQ expression levels of both isoforms was performed, unambiguously in 93,3% of all tumor samples HIF-1α had higher expression levels in comparison to its second isoform. This data was obtained with the Wilcoxon ranking test, which undeniably showed significantly higher expression levels of HIF-1α vs. HIF-2α (p < 0.001, z = 6.35). In summary, in advanced laryngeal cancer we observed a canonical proangiogenic phenotype with significant upregulation of HIF-1α but not HIF-2α, i.e., HIF-switch was not evident.
Remarkably, the majority of patients (60%) exhibit a HIF-upregulated proangiogenic signature also in peritumoral benign mucosa. Additionally, the latter has a distinctly shifted phenotype towards HIF-2α upregulation compared to the one in tumor tissue, i.e., a tendency towards a HIF-switch is observed.
The analysis of the samples from the histologically normal mucosa adjacent to the tumor tissue revealed that in 60% of all cases, there was an aberrant proangiogenic overexpression of either or both HIF-1α/ HIF-2α when compared to paired distant laryngeal mucosa along with other classical molecules from the canonical proangiogenic cascade. Moreover, when analyzed, the expression pattern of those molecules differentiated significantly from the pattern evident in paired tumor samples. First, despite still having upregulation of HIF-1α in 40% of cases (versus 56% in tumor samples), its RQ expression levels were significantly lower in peritumoral tissue when compared to tumor tissue (Wilcoxon test, p = 0.03, z = 2.16) [Figure 1]. Even more pronounced was the change in HIF-2α expression – we detected significantly higher levels of HIF-2α expression in peritumoral mucosa when compared to paired tumor samples (Wilcoxon test, p < 0.001, z = 5.44). Thus, we saw two distinct abnormal proangiogenic signatures in the tumor and the paired adjacent normal peritumoral mucosa – in tumor samples we recognize the leading role of the overexpressed HIF-1α, whereas in peritumor mucosa there is an evident shift towards HIF-2α upregulation and lowering of the expression of the first isoform. Ergo, there is a shift towards a “HIF switch” in peritumoral mucosa in contrast to tumor tissue, where HIF-1α holds the predominant role [Figure 2]. Additionally, the other major molecules from this cascade had significantly higher expression in peritumoral mucosa when compared to paired distant control laryngeal mucosa: VEGF-A overexpression was displayed in 40% of patients, ETS-1 in 42%, VEGFR1 in 36.7% and VEGFR2 in 41.7%. Interestingly, VEGF-A expression levels in peritumor tissue were significantly lower than those in tumor tissue (p < 0.001, z = 3.931) while VEGFR2 levels were significantly higher in peritumoral mucosa in comparison to tumor tissue (p < 0.001, z = 4.56) [Figure 1].
HIF-3α expression levels are significantly higher in peritumoral mucosa as part of the HIF-switch but no definite association can be established with the other proangiogenic molecules.
HIF-3α is a molecule that was massively silenced in 78.3% of the tumor samples (RQ < 0.5). In peritumoral mucosa samples, we saw a statistically significant rise in expression levels of HIF-3α when compared to paired tumor samples (Wilcoxon test, p = 0.006, z = 2.75), despite being still largely downregulated (55%) in relation to the paired control samples (RQ < 0.5) [Figure 1]. In both tumor and peritumoral mucosa when we analyze correlations with the other molecules we obtain p-values beneath 0,05 (Pearson’s correlation) but visual evaluation of the scatterplot does not validate those results since the relationship is not monotonic [Figure 3, last column].
Mir-210 is overexpressed in tumor tissue but does not show a well-established association with any of the main proangiogenic genes including HIF-1α
Among the listed differences in proangiogenic expression pattern between tumor and peritumoral mucosa aligns also the expression of angiomir miR-210. In tumor tissues, we recorded that almost half of the patients displayed overexpression of miR-210 (48.3%) that was in contrast to only 16.6% overexpression rate of this molecule in peritumoral mucosa. Additionally, pairwise comparison with the Wilcoxon rank test revealed significantly higher levels of expression of miR-210 in tumor tissue compared to peritumoral mucosa (p < 0.001, z = 5.03) [Figure 1]. Contrary to expectations and literature data, when correlation tests were run between miR-210 and HIF-1α, HIF-2α, VEGF-A, VEGFR1, and VEGFR2, scatterplots visual evaluation concluded that there was no clear monotonic relationship between the expression levels of this microRNA and the other proangiogenic molecules, despite obtaining certain p-values beneath 0.05 [Figure 3, first row]
ETS-1 displays stable and identical significant overexpression in both proangiogenic phenotypes present in tumor and peritumoral mucosa. Correlations between proangiogenic molecules in both sample groups are matching but tend to differ in terms of strength.
ETS-1 molecule was overexpressed to a similar extent in both tumor and peritumoral mucosa (45% vs. 42%) and no statistically significant difference was reported. The investigated classical proangiogenic molecules in tumor tissue displayed strong correlations with each other that can be seen in detail in the scatter dot matrix in Fig. 3. We additionally analyzed the correlations of those molecules from their expression profile in peritumor tissue and in terms of significance they did not differ widely from those in the tumor samples. Nevertheless, when comparing the strength of association, one could undoubtedly distinguish the difference. To compare the strength of association among these molecules, we created two heatmaps with the correlation coefficients (Spearman's ρ (rho) or rs) given in Fig. 4. Firstly, we identified that in contrast to tumor tissue, where we found a moderate correlation between HIF-1α and HIF-2α, such an association was not valid in peritumoral tissue. ETS-1 had a far stronger association with VEGF-A in peritumoral tissue compared to tumor tissue (rs= 0.32 vs 0.63). HIF-1α/ HIF-2α correlated at a far greater extent with the two VEGF receptors and ETS-1 in tumor tissue compared to peritumor tissue but kept their level of association with VEGF-A identical in both sample groups. Additionally, the association between VEGF-A and VEGFR1 displayed a higher correlation coefficient than VEGF-A and VEGFR2 in tumor tissue, and this relation was inverted in peritumoral mucosa [Figure 4].