Assessment of long noncoding RNA CCAT1 using real time-polymerase chain reaction in colorectal cancer patients.

Colorectal cancer (CRC) is linked to high mortality, mainly when discovered in its advanced stages. Several studies have pointed to the role of epigenetic factors in CRC and other cancers. Long non-coding RNAs (lncRNAs) are involved in the initiation, progression, metastasis, and modulation of the response to chemotherapeutic modalities of CRC as vital contributors to epigenetic mechanisms. Colon cancer-associated transcript-1 (CCAT1) is one of the lncRNAs that have been dysregulated in serum samples, providing a non-invasive route for diagnosing CRC patients. This study aimed to determine the role of CCAT1 expression as diagnostic and prognostic markers. We tested the associations of CCAT1 expression with serum carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA 19-9). The study included three groups: 41 patients with colorectal cancer, 39 patients with precancerous benign colorectal diseases, and 20 normal control individuals. CEA and CA 19-9 were measured by an immunoassay automated system. The expression level of CCAT1 was assessed by a real-time polymerase chain reaction. There was a statistically significant elevation of serum CEA levels in patients with CRC compared to patients with precancerous benign colorectal diseases. Furthermore, there was no statistically significant difference in serum CA 19-9 levels between all groups (p = 0.102). Interestingly, CCAT1 expression was significantly upregulated in the blood of CRC patients compared to the precancerous benign colorectal diseases group (p = 0.009) and the control group (p <0.001). Also, expression of CCAT1 was significantly elevated in patients with precancerous benign colorectal diseases compared to the control group (p=0.004). In conclusion, measuring the expression level of CCAT1 is more advised than assessment of CEA and CA 19-9 for the early diagnosis and prognosis of colorectal cancer.

Plasma brain natriuretic peptide, D-Dimer, and serum troponin-I as predictors for in-hospital death in patients with COVID-19.

The severe acute respiratory syndrome coronavirus 2, first appeared in Wuhan, China, in December 2019. Since then, a variety of strains of the virus were spread throughout the world, prompting the World Health Organization to declare a pandemic in March 2020. Additionally, Coronavirus disease 2019 (COVID-19) can cause a variety of symptoms, ranging from fatigue and fever to severe respiratory and cardiovascular complications. This study evaluated the role of brain natriuretic peptide (BNP), troponin-I and D-dimer as biomarkers for death prediction in hospitalized patients with COVID-19. The study included 90 patients with COVID -19 diagnosed with PCR-RNA testing. They were divided into survivors and non-survivors. Also, 20 apparently healthy individuals age and sex matched were included as a control group. Plasma BNP and serum troponin-I were measured by enzyme linked immune-sorbent assay (ELISA) technique. D-dimer was measured by a turbidimetric technique. Patients with COVID-19 had significantly elevated levels of serum Troponin-I and plasma BNP in comparison to controls (p < 0.0001, for both). D-dimer, troponin-I and BNP levels were significantly higher in the non-survivors group when compared to the survivors group. Troponin-1 can predict COVID-19 severity with sensitivity, specificity, and accuracy of 55.1%, 66.7%, and 57.8%, respectively at a cutoff value of 0.075 (ng /ml); and area under the receiver operating characteristic (AUC) curve of 0.670 (95% CI: 0.551 - 0.790, p=0.018). BNP can predict COVID-19 severity with sensitivity, specificity, and accuracy of 98.6%, 71.4%, 92.2%, respectively at a cutoff value of 16.02 (Pg /ml) and AUC of 0.872 (95% CI: 0.778 - 0.965, p < 0.001). Univariate and multivariate logistic regression analysis showed that only BNP level can significantly predict death among COVID-19 infected patients. In conclusion, plasma BNP and serum troponin-I could be used as prognostic biomarkers for determination of the severity of COVID-19 and BNP could predict mortality.

Diagnostic values of microRNA 27a in breast cancer patients.

Breast cancer is one of the most malignant tumors in women across the globe. Diagnosis of breast cancer at early stages is essential to improve treatment outcomes and decrease mortality rates. There is a pressing need for new non-invasive biomarkers to improve early diagnosis of breast cancer. This study aims to assess plasma miR-27a for the early diagnosis of breast cancer. miR-27a was evaluated in a total of 95 blood samples, 40 newly diagnosed cancer patients, 20 patients with benign breast lesions, 20 females with positive family history for breast cancer and 15 apparently healthy controls, using quantitative real time polymerase chain reaction. Our results exhibited significantly higher expression level of plasma miR-27a in breast cancer patients (median= 8.3 and 19 fold change for early and late stages respectively) compared to controls, high risk group and benign group with (P <0.001) for each. Plasma miR-27a was significantly higher in late breast cancer (median=19 fold change) compared to early breast cancer (median= 8.3) with (P <0.001). There was no statistically significant difference of plasmamiR-27a levels in benign group (median=1.8 fold change) compared to both control group and high risk group. There was no statistically significant difference of plasma miR-27a levels in high risk group (median= 1.2 fold change) compared to control group (median= 1 fold change). We performed Receiver Operating Characteristic (ROC) analysis for discriminating malignant from non-malignant cases. Plasma miR-27a yielded an area under the curve (AUC) of 0.983 with sensitivity 97.5%, specificity 91% and accuracy 94%.We concluded that miR-27a expression level represents sensitive and specific non-invasive molecular biomarkers for diagnosis of breast cancer.