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The infection by COVID-19 is a serious global public health problem. An efficient way to improve this disease's clinical management would be to characterize patients at higher risk of progressing to critically severe infection using prognostic biomarkers. The telomere length could be used for this purpose. Telomeres are responsible for controlling the number of maximum cell divisions. The telomere length is a biomarker of aging and several diseases. We aimed to compare leukocyte telomere length (LTL) between patients without COVID-19 and patients with different clinical severity of the infection. Were included 53 patients who underwent SARS-CoV-2 PCR divided in four groups. The first group was composed by patients with a negative diagnosis for COVID-19 (n = 12). The other three groups consisted of patients with a confirmed diagnosis of COVID-19 divided according to the severity of the disease: mild (n = 15), moderate (n = 17) and severe (n = 9). The LTL was determined by Q-PCR. The severe group had the shortest LTL, followed by the moderate group. The negative and mild groups showed no differences. There is an increase of patients with hypertension (p = 0.0099) and diabetes (p = 0.0067) in moderate and severe groups. Severe group was composed by older patients in comparison with the other three groups (p = 0.0083). Regarding sex, there was no significant difference between groups (p = 0.6279). In an ordinal regression model, only LTL and diabetes were significantly associated with disease severity. Shorter telomere length was significantly associated with the severity of COVID-19 infection, which can be useful as a biomarker or to better understand the SARS-CoV-2 pathophysiology.

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Background: Peyronie’s disease (PD) is characterized by the formation of fibrous plaque in tunica albuginea, causing several problems in patients. The etiology of this disease is not fully understood, and there are few effective treatments. To better understand the molecular pathways of PD, we studied miR-29b, a microRNA that could be involved with this illness. MicroRNAs are endogenous molecules that act by inhibiting messenger RNA. MiR-29b regulates 11 of 20 collagen genes and the TGF-β1 gene, which are related to PD progression. Methods: We compared miR-29b expression in 11 patients with PD and 14 patients without PD (control group). For the patients with PD, we utilized samples from the fibrous plaque ( n = 9), from the tunica albuginea ( n = 11), and from the corpus cavernosum ( n = 8). For the control group, we utilized samples from the tunica albuginea ( n = 14) and from the corpus cavernosum ( n = 10). MiR-29b expression was determined by q-PCR. Results: We found a downregulation of miR-29b in the fibrous plaque, tunica albuginea and corpus cavernosum of patients with PD in comparison with the control group ( p = 0.0484, p = 0.0025, and p = 0.0016, respectively). Conclusion: Although our study has a small sample, we showed for the first time an evidence that the downregulation of miR-29b is associated with PD.

Introduction: specialists have an urge for biomarkers that can discriminate indolent prostate cancer from aggressive tumors. Ki67 is a proliferation marker, and its expression is associated with the aggressiveness of several cancers. Objective: analyze the expression of Ki67 in prostate cancer samples correlating with the aggressiveness of the disease. Methods: Ki67 mRNA levels were determined utilizing data from a TCGA cohort (Tumor(n)=492 and control(n)=52). The protein expression was determined on 94 biopsies from patients by immunohistochemical assay. Results: in mRNA, the Ki67 upregulation is associated with cancer tissue (p<0.0001) and worst disease-free survival (p=0.035). The protein upregulation is associated with increase of the ISUP score (p<0.0001), cancer stage (p=0.05), biochemical recurrence (p=0.0006) and metastasis (p<0.0001). We also show a positive correlation between Ki67 expression and ISUP score (r=0.5112, p<0.0001) and disease risk stratification (r=0.3388, p=0.0009). Ki67 expression is a factor independently associated with biochemical recurrence (p=0.002) and metastasis (p<0.0001). Finally, the patients with high Ki67expression shows better survival regarding biochemical recurrence (p=0.008) and metastasis (p=0.056). Patients with high Ki67 expression are 2.62 times more likely to develop biochemical recurrence (p=0.036). Conclusion: Ki67 upregulation is associated with prostate cancer aggressiveness.

BACKGROUND/AIMS: Cholesterol modulates intratumoral androgenic signaling in prostate cancer; however, the molecular mechanisms underlying these changes in castration-resistant prostate cancer (CRPC) are not fully elucidated. Herein, we investigated the effect of cholesterol on androgen receptor (AR) coactivators expression and tumorigenesis in vitro and in vivo. METHODS: Herein, we monitored the expression of AR coactivators (SRC-1, 2, 3 and PCAF) genes in PC-3 cells exposed to 2µg/mL of cholesterol for 8 hours by qPCR. We also performed cell migration at 0, 8, 24, 48 and 72h and flow cytometry assays (viability, apoptosis, and cell cycle) after a 24h exposure. Immunofluorescence assay was performed to evaluate the protein expression of the AR coactivators. Additionally, in vivo experiments were conducted using 22 male NOD/SCID mice. Mice were fed a standard (Control) or hypercholesterolemic (HCOL) diet for 21 days and then subcutaneously implanted with PC-3 cells. The tumor volume was calculated every two days, and after four weeks, the tumors were resected, weighed, and the serum lipid profile was measured. We also measured the intratumoral lipid profile and AR coactivators gene and protein expression by qPCR and Western Blot, respectively. Intratumor testosterone and dihydrotestosterone (DHT) concentrations were determined using ELISA. RESULTS: Cholesterol up-regulated the gene expression of coactivators SRC-1, SRC-2, SRC-3
and PCAF, increasing AR expression in PC-3 cells. Next, cholesterol-supplemented PC-3 cells exhibited increased cell migration and altered cell cycle phases, leading to changes in proliferation and reduced apoptosis. We found that SRC-1, SRC-2, SRC-3 and PCAF proteins co-localized in the nucleus of cholesterol-supplemented cells and co-associate with AR. In the in vivo model, the hypercholesterolemic (HCOL) group displayed higher serum total and intratumoral cholesterol levels, increased testosterone and dihydrotestosterone concentrations, and up-regulated AR coactivator expression. The tumor volume of the HCOL group was significantly higher than the control group. CONCLUSION: Our findings revealed that increased nuclear translocation of the coactivators leads to up-regulated AR gene and protein expression, potentially influencing tumor progression. Studies targeting cholesterol-modulated changes in AR coactivator expression may provide insights into the molecular mechanisms associated with the CRPC phenotype.

Background Telomere dysfunction is one of the hallmarks of cancer and is crucial to prostate carcinogenesis. TERF1 is a gene essential to telomere maintenance, and its dysfunction has already been associates with several cancers. TERF1 is a target of miR-155, and this microRNA can inhibit its expression and promotes carcinogenesis in breast cancer. We aim to analyze TERF1, in gene and mRNA level, involvement in prostate cancer progression. Results Alterations in TERF1 DNA were evaluated using datasets of primary tumor and castration-resistant tumors (CRPC) deposited in cBioportal. The expression of TERF1 mRNA levels was assessed utilizing TCGA datasets, clinical specimens, and metastatic prostate cancer cell lines (LNCaP, DU145, and PC3). Six percent of localized prostate cancer presents alterations in TERF1 (the majority of that was amplifications). In the CRPC cohort, 26% of samples had TERF1 amplification. Patients with TERF1 alterations had the worst overall survival only on localized cancer cohort (p = 0.0027). In the TCGA cohort, mRNA levels of TERF1 were downregulated in comparison with normal tissue (p = 0.0013) and upregulated in tumors that invade lymph nodes (p = 0.0059). The upregulation of TERF1 is also associated with worst overall survival (p = 0.0028) and disease-free survival (p = 0.0023). There is a positive correlation between TERF1 and androgen receptor expression in cancer tissue (r = 0.53, p < 0.00001) but not on normal tissue (r = − 0.16, p = 0.12). In the clinical specimens, there is no detectable expression of TERF1 and upregulation of miR-155 (p = 0.0348). In cell lines, TERF1 expression was higher in LNCaP and was progressively lower in DU145 and PC3 (p = 0.0327) with no differences in miR-155 expression. Conclusion Amplification/upregulation of TERF1 was associated with the worst prognostic in localized prostate cancer. Our results corroborate that miR-155 regulates TERF1 expression in prostate cancer. TERF1 has the potential to become a biomarker in prostate cancer.

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