Crystal-Reconstructed BiVO4 Semiconductor Photoelectrochemical Sensor for Ultra-Sensitive Tumor Biomarkers Detection

In this work, we develop a crystal-reconstructed-BiVO4 aptamer photoelectrochemical (PEC) biosensor by high-energy laser treatment technique. This biosensor achieves a limit of detection (LOD) (0.82 ag/mL), linear detection range (1...

Evaluation of Plasma Nucleosome Concentrations In Healthy Dogs And Dogs With A Variety of Common Cancers.

Background: Cell free DNA, in the form of nucleosomes, is released into circulation during apoptosis and necrosis in a variety of diseases. They are small fragments of chromosomes that are composed of DNA wrapped around a histone core made of four duplicate histone proteins forming an octamer. The nucleosome compartment is a relatively uninvestigated area of circulating tumor biomarkers in dogs. The objectives of this study were to quantify and better characterize nucleosomes in 528 dogs with various common malignancies and 134 healthy dogs. Results: The sensitivity of elevated circulating nucleosome concentrations for the detection of cancer in all dogs was 49.8% with a specificity of 97% with an area under the curve of 68.74%. The top 4 malignancies detected by the test included lymphoma, hemangiosarcoma, histiocytic sarcoma and malignant melanoma. The malignancies least likely to be detected were soft tissue sarcomas and mast cell tumors. Conclusions: A variety of tumor types may cause elevated nucleosome concentations in dogs. Tumors of hematopoietic origin are most likely to cause elevations and local tumors such as soft tissue sarcomas are least likely to cause elevations in plasma nucleosome concentrations.

Evaluating Cancer-Related Biomarkers Based on Pathological Images: A Systematic Review

Many diseases are accompanied by changes in certain biochemical indicators called biomarkers in cells or tissues. A variety of biomarkers, including proteins, nucleic acids, antibodies, and peptides, have been identified. Tumor biomarkers have been widely used in cancer risk assessment, early screening, diagnosis, prognosis, treatment, and progression monitoring. For example, the number of circulating tumor cell (CTC) is a prognostic indicator of breast cancer overall survival, and tumor mutation burden (TMB) can be used to predict the efficacy of immune checkpoint inhibitors. Currently, clinical methods such as polymerase chain reaction (PCR) and next generation sequencing (NGS) are mainly adopted to evaluate these biomarkers, which are time-consuming and expansive. Pathological image analysis is an essential tool in medical research, disease diagnosis and treatment, functioning by extracting important physiological and pathological information or knowledge from medical images. Recently, deep learning-based analysis on pathological images and morphology to predict tumor biomarkers has attracted great attention from both medical image and machine learning communities, as this combination not only reduces the burden on pathologists but also saves high costs and time. Therefore, it is necessary to summarize the current process of processing pathological images and key steps and methods used in each process, including: (1) pre-processing of pathological images, (2) image segmentation, (3) feature extraction, and (4) feature model construction. This will help people choose better and more appropriate medical image processing methods when predicting tumor biomarkers.

Mechanisms of hepatoprotective effects of white and black garlic extracts against preneoplastic lesions induced by N-nitrosodiethylamine in rats

Introduction: Garlic has many pharmacological properties such as antibacterial, anti-inflammatory, and antioxidant activities. This study aimed to investigate the possible mechanisms of the hepatoprotective effect of white garlic extract (WGE) and black garlic extract (BGE) against preneoplastic lesions induced by N-nitrosodiethylamine (NDEA) in rats. Methods: Forty-two rats were randomly distributed into six equal groups. Oral administration of WGE and BGE began 3 weeks before injection of NDEA. Group 1 was kept as the negative control, while the other groups were injected by a single intraperitoneal dose of NDEA in the 3rd week, followed by 2 subcutaneous injections/week of CCl4 till six weeks to induce preneoplastic lesions. Group 2 kept positive control and groups 3, 4, 5, and 6 were given WGE and BGE each of them at 250 and 500 mg/kg, respectively, for six weeks from the beginning. Serum liver enzymes, total protein, albumin (Alb), total bilirubin (TBil), and antioxidant enzymes were measured. Malondialdehyde (MDA), glutathione (GSH), tumor biomarkers, along with the content of 8-hydroxy-2-deoxyguanosine (8-OHdG) in liver DNA were estimated and liver histopathology was performed. Results: WGE and BGE significantly decreased the serum liver enzymes, TBil, tumor biomarkers, lipid peroxidation but increased total protein levels. The extracts significantly increased antioxidant enzymes, decreased 8-OHdG content in liver DNA, and alleviated histopathological lesions in the liver. Conclusion: The results affirm the hepatoprotective effect of WGE and BGE against NDEA-induced preneoplastic lesions in rats. This effect may be due to inhibition of lipid peroxidation, reduction of tumor biomarkers, enhancement of antioxidant enzymes, or reduction of 8-OHdG content in liver DNA.

Combination IETA Ultrasonographic Characteristics Simple Scoring Method With Tumor Biomarkers Effectively Improves the Differentiation Ability of Benign and Malignant Lesions in Endometrium and Uterine Cavity

ObjectivesTo evaluate International Endometrial Tumor Analysis (IETA) ultrasonographic characteristics simple scoring method and tumor biomarkers for the diagnosis of uterine cavity and endometrial lesions.MethodsWe classified and scored the normalized description of IETA ultrasonic characteristics, according to IETA expert consensus literature, previous IETA-related research articles, and the previous research experience of this project group. We conducted a retrospective analysis of the ultrasound images of 594 patients enrolled from January 2017 to June 2020, scored them item by item, and finally calculated the total score of each case. Meanwhile, we combined the results of seven tumor biomarkers. The objective was to evaluate the sensitivity, specificity, coincidence rate, and the area under receiver operating characteristic (ROC) curve of IETA ultrasonographic characteristics simple scoring method and tumor biomarkers for benign and malignant uterine cavity or endometrial lesions. The diagnostic efficiency between the combined method and the single method was compared.ResultsA total of 594 cases were confirmed by postoperative pathology or surgery records, including 475 benign lesions and 119 malignant lesions. In the simple ultrasound scoring method, the average score of benign lesions was 3.879 ± 1.279 and that of malignant lesions was 9.676 ± 4.491. If ≥6.5 points was taken as the cutoff value for the judgment of malignant lesions, the sensitivity, specificity, coincidence rate, and the area under receiver operating characteristic (ROC) curve (AUC) were 76.5%, 96.0%, 92.1%, and 0.935, respectively. The difference in tumor antigen 19-9 (CA19-9) and human epididymal protein 4 (HE4) between benign and malignant lesions was statistically significant (all p ≤ 0.01). The other five tumor biomarkers (CA125, CA15-3, SCC-Ag, AFP, and CEA) showed no statistically significant difference in benign and malignant lesions. If the value of CA19-9 ≥13.96 U/ml was taken as cutoff value, the sensitivity, specificity, and coincidence rate of the diagnosis of endometrial benign and malignant lesions were 54.8%, 74.7%, and 70.7%, respectively, and the AUC was 0.620. If the value of HE4 ≥ 39.075 pmol/L was taken as cutoff point, the sensitivity, specificity, coincidence rate, and AUC were 77.4%, 67.9%, 69.8%, and 0.796, respectively. The sensitivity was increased to 97.6% and the AUC was 0.939 when IETA ultrasound characteristics simple scoring method combined CA19-9 and HE4 in parallel test.ConclusionsIn IETA ultrasound characteristics simple scoring method, with ≥6.5 points as the cutoff value, it could quickly and accurately assess the benign and malignant in uterine cavity and endometrial lesions, with high diagnostic value. The diagnostic efficacy of seven tumor biomarkers was all mediocre. Combining with these two methods, the comprehensive diagnosis could improve sensitivity and accuracy and reduce the risk of missed diagnosis.