Clear cell renal cell carcinoma (ccRCC) is a primary malignant tumour of tubular epithelial origin and is most common in the urinary tract. Growing evidence suggests that oxidative stress (OS), generates high levels of reactive oxygen species (ROS) and free radicals, and plays a critical role in cancer in humans. However, the predictive value of OS-related long non-coding RNAs (lncRNAs) in ccRCC remains unclear. We constructed a predictive signature of survival based on OS-related lncRNAs that were obtained from The Cancer Genome Atlas (TCGA–KIRC), to predict the prognosis of patients with ccRCC. The signature comprised seven lncRNAs: SPART-AS1, AL162586.1, LINC00944, LINC01550, HOXB-AS4, LINC02027, and DOCK9-DT. OS-related signature of lncRNAs had diagnostic efficiency higher than that of clinicopathological variables, with an area of 0.794 under the receiver operating characteristic curve. Additionally, the nomogram based on risk scores and clinicopathological variables (age, gender, grade, stage, M-stage, and N-stage) showed strong predictive performance. Patients with high-risk were found to be more sensitive to the therapeutic drugs ABT.888, AICAR, MS.275, sunitinib, AZD.2281, and GDC.0449. Our constructed the predictive signature can independently predict the prognosis of patients with ccRCC; however, the underlying mechanism needs further investigation.

Background: QuantiFERON-TB Gold Plus (QFT-Plus) is an important test that has emerged in recent years for detecting TB infection. We conducted a review to compare the sensitivity, specificity and positive rate of QFT-Plus with that of QuantiFERON-TB Gold In-Tube (QFT-GIT), T-cell spot of tuberculosis assay (T-SPOT.TB) and Tuberculin test (TST). Methods: PubMed and Embase were searched, without language restrictions, from 1 January 2015 to 31 March 2022 using “Mycobacterium tuberculosis Infections” and “QuantiFERON-TB-Plus” etc. We estimated the sensitivity from studies of patients with active tuberculosis, specificity from studies of populations with very low risk of TB exposure, and positive rate from studies of high-risk populations. The methodological quality of the eligible studies was assessed, and a random-effects model meta-analysis was used to determine the risk difference (RD). We assessed the pooled rate by using a random-effects model. PROSPERO number was CRD 42021267432. Results: Of 3996 studies, 83 were eligible for full-text screening and 41 were included in the meta-analysis. In patients with active TB, the sensitivity of QFT-Plus was compared to that of QFT-GIT and T-SPOT.TB, respectively, and no statistically significant differences were found. In populations with a very low risk of TB exposure, the sensitivity of QFT-Plus was compared with that of QFT-GTI and T-SPOT.TB, respectively, and no statistically significant differences were found. Two studies were eligible to compare the specificity of the QFT-Plus test with that of the TST test, and the pooled RD was 0.12 (95% CI 0.02 to 0.22). In high-risk populations, 17 studies were eligible to compare the positive rate of the QFT-Plus test with that of the QFT-GIT test, and the pooled RD was 0.02 (95% CI -0.02 to 0.03). The positive rate of QFT-Plus was compared with that of T-SPOT.TB and TST groups, and no statistically significant differences were found. Conclusions: The diagnostic performance of QFT-Plus was similar to that of QFT-GIT and T-SPOT.TB, but was slightly more specific than TST.

Background: Diabetes mellitus (DM) and its complications pose serious threats to global public health. As diabetes is a systemic metabolic disease, various studies have shown that it is associated with oxidative stress. Therefore, studies linking diabetes and oxidative stress have received considerable attention. However, no previous studies have analysed the relationship between diabetes and oxidative stress through a bibliometric approach. To fill this knowledge gap and summarise the research hotspots and trends, we conducted a comprehensive bibliometric analysis of global scientific publications in this field. Methods: We extracted all relevant English-language publications on diabetes and oxidative stress from the Web of Science between 1 January 2003 and 31 October 2022. CiteSpace V 5.8.R3, VOSviewer 1.6.16, and two online analysis platforms were used for bibliometric and visual analyses. Results: A total of 44291 articles were identified, including 33,710 articles, 9473 reviews, and 1108 meeting abstracts. The number of publications has increased gradually over the past 20 years. China and the United States are the largest contributors to publications in this field. China Med University is the institution with most publications, and LU CAI is the author with the most publications. There is relatively little collaboration among institutions in different countries. The journal that published the most papers related to diabetes and oxidative stress is the International Journal of Molecular Sciences. According to co-cited references result, ‘bioactive compounds’, ‘SGLT2 inhibitors’, ‘diabetic cardiomyopathy’, and ‘diabetic retinopathy’ are the main research hotspots. Based on the results of the topic evolution, ‘risk’, ‘expression’, ‘oxidative stress’, and ‘antioxidant activity’ are focal points of current research. Conclusion: This study provides a systematic and objective view of the field, which helps readers evaluate the characteristics of publications involving diabetes and oxidative stress and helps researchers formulate rational research protocols.

Clear cell renal carcinoma (ccRCC) is a primary malignant tumor of tubular epithelial origin that is most common in the urinary tract. Growing evidence suggests that oxidative stress (OS), which generates high levels of reactive oxygen species (ROS) and free radicals, plays a critical role in human cancer. However, the predictive value of OS-related lncRNAs in ccRCC remains unclear. We constructed a new survival signature from OS-related and diffeomorphic lncRNAs obtained from the Cancer Genome Atlas (TCGA-KIRC). The signature comprised seven lncRNAs: SPART-AS1, AL162586.1, LINC00944, LINC01550, HOXB-AS4, LINC02027, and DOCK9-DT. OS-related lncRNA signatures had higher diagnostic efficiency than clinicopathological variables, with an area of 0.794 under the receiver operating characteristic curve. Additionally, nomograms based on risk scores and clinicopathological variables (age, gender, grade and stage) showed strong predictive performance. High-risk patients are more sensitive to the therapeutic drugs bicalutamide, epothilone, and lapatinib. Our signatures can independently predict the prognosis of patients with ccRCC; however, the mechanism there of needs further investigation.