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Background: Cervical cancer, one of the prevalent malignancies among females, is closely associated with human papillomavirus (HPV) infection. Homologous to the E6-AP carboxyl terminus (HECT) domain and ankyrin repeat containing E3 ubiquitin-protein ligase 1 (HACE1) plays pivotal roles in various cancers. This study aimed to elucidate the expression of HACE1 in cervical cancer and its correlation with clinical features. Methods: From The Cancer Genome Atlas Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (TCGA-CESC) and Gene Expression Omnibus (GEO, GSE6791) datasets, we obtained RNA-Seq profiles and associated clinical information. Differential gene analysis was conducted using the R "limma" package. Implications for HPV infection and the overall survival (OS) of cervical cancer were determined by performing differential expression analysis and the Cox proportional hazards regression model. Immunohistochemical analyses were used to validate the expression in cervical cancer and normal cervical tissue. Further, nomogram was constructed to predict OS in cervical cancer. Whether the model was credible was evaluated according to receiver operating characteristic (ROC) curves and concordance curves. To further evaluate the potential functions of HACE1, we conducted functional enrichment analysis. Finally, we assessed methylation levels in HPV+ and HPV- patients in the TCGA-CESC dataset. Results: Utilizing TCGA and GSE6791 datasets, we observed significant upregulation of HACE1 in cervical cancer patients, particularly linked to HPV infection. Immunohistochemical staining revealed enhanced HACE1 expression in tumor tissues. Further analysis demonstrated a significant positive correlation between elevated HACE1 and HPV-associated proteins (E1, E6, and E7). Moreover, high HACE1 expression was associated with adverse prognosis in cervical cancer patients. Multivariate Cox analysis indicated that HACE1 could serve as an independent prognostic factor. We developed a prognostic model integrating HPV subtypes, the International Federation of Gynecology and Obstetrics (FIGO) staging, and HACE1, exhibiting strong predictive efficacy for cervical cancer prognosis. Gene enrichment analysis indicated HACE1's potential involvement in multiple signaling pathways during cervical cancer progression, while the demethylation of cg03002526 in HPV-positive patients might contribute to HACE1 upregulation. Conclusions: Our study reveals that HACE1 upregulation is associated with cervical cancer, particularly in HPV-positive patients. HACE1 emerges as an independent prognostic factor, linked to unfavorable outcomes.
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Among women, cervical cancer (CC) ranks as the third most frequent form of carcinoma and the fourth greatest cancer-related cause of deaths. There is increasing evidence that points to the dysregulation of EPH receptor B6 (EPHB6) in various cancers. On the other hand, neither the expression nor the function of EPHB6 in CC has been researched. In the first part of this investigation, we analyzed the data from the TCGA and discovered that the level of EPHB6 was much lower in CC tissues than in normal cervical tissues. ROC assays revealed that high EPHB6 expression had an AUC value of 0.835 for CC. The survival study revealed that both the overall and disease-specific survivals in this condition were considerably lower among patients who had a low EPHB6 level compared to those who had a high EPHB6 level. It is important to note that the multivariate COX regression analysis indicated that the expression of EPHB6 was an independent predictive factor. In addition to this, the C-indexes and calibration plots of a nomogram derived from multivariate assays revealed an accurate prediction performance among patients with CC. Immune infiltration analysis indicated that the expression of EPHB6 was positively associated with the levels of Tcm, TReg, B cells, T cells, iDC, T helper cells, cytotoxic cells, and DC, while negatively associated with NK CD56bright cells and neutrophils. In summary, the downregulation of EPHB6 was strongly linked to a more aggressive clinical development of CC, suggesting its potential utility as a diagnostic and therapeutic target in CC.
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Tissue analysis by Fourier transform infrared (FTIR) imaging can determine the biodistribution of molecules, without pre-analytical modification. We aimed to study the infrared spectroscopic changes of α-helical proteins at post-traumatic epileptic (PTE) foci by FTIR. FITR mapping was applied to detect α-helical proteins in rat brain tissue samples with post-traumatic epilepsy. Histological examination of brain sections showed that the rat model of PTE was successfully established. At the PTE foci, high α-helical absorption regions were evident, where the color difference and absorption were significantly different from those in the low-absorption regions. This provided a distinctive and characteristic pattern at the site of lesions. The use of FTIR imaging means that it is possible to measure the molecular structural changes resulting from PTE pathologies in tissues, providing a novel adjunct to conventional pathological diagnostic techniques.