Determination of TNF alpha in supernates of stimulated PBL from cancer patients by two methods from one sample

DETERMINATION OF P53 GENE CODON 72 POLYMORPHISMS IN PATIENTS WITH GASTRIC CANCER

Journal of Medicine and Pharmacy ◽

10.34071/jmp.2013.2.2 ◽

2013 ◽

pp. 11-17

Author(s):

Thi Tuy Ha Nguyen ◽

Thi Minh Thi Ha

Keyword(s):

Gastric Cancer ◽

Cancer Patients ◽

P53 Gene ◽

Diffuse Gastric Cancer ◽

Codon 72 ◽

Cancer Group ◽

Pcr Rflp ◽

Gastric Cancer Patients ◽

The Relationship

Background: The role of p53 gene in the gastric cancer is still controversial. This study is aimed at determining the rate of the p53 gene codon 72 polymorphisms in gastric cancer patients and evaluating the relationship between these polymorphisms and endoscopic and histopathological features of gastric cancer. Patients and methods: Sixty eight patients with gastric cancer (cases) and one hundred and thirty six patients without gastric cancer (controls) were enrolled. p53 gene codon 72 polymorphisms were determined by PCR-RFLP technique with DNA extracted from samples of gastric tissue. Results: In the group of gastric cancer, Arginine/Argnine, Arginine/Proline and Proline/Proline genotypes were found in 29.4%, 42.7% and 27.9%, respectively. The differences of rates were not statistically significant between cases and controls (p > 0,05). In males, the Proline/Proline genotype was found in 38.1% in patients with gastric cancer and more frequent in patients without gastric cancer (15.7%, p = 0,01). An analysis of ROC curve showed that the cut-off was the age of 52 in the Proline/Proline genotype, but it was 65 years old in the Arginine/Proline genotype. The Proline/Proline genotype was found in 41.9% in Borrmann III/IV gastric cancer, this rate was higher than Borrmann I/II gastric cancer (16.2%, p = 0.037) and also higher than controls (18.4%, p = 0,01). The rate of Proline/Proline genotype was 41.7% in the diffuse gastric cancer, it was higher than in controls (p = 0,023). Conclusion: No significative difference of rate was found in genotypes between gastric cancer group and controls. However, there was the relationship between Proline/Proline genotype and gastric cancer in males, Borrmann types of gastric cancer, the diffuse gastric cancer. Key words: polymorphism, codon 72, p53 gene, PCR - RFLP, gastric cancer.

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The Evaluation of the Role of the Cytokines TNF- alfa and IL 6 in the Production of Hypoalbuminemia in Patients Undergoing Major Surgical Interventions

Revista de Chimie ◽

10.37358/rc.18.7.6426 ◽

2018 ◽

Vol 69 (7) ◽

pp. 1830-1837

Author(s):

Cristian Nicolescu ◽

Alaxendru Pop ◽

Alin Mihu ◽

Luminita Pilat ◽

Ovidiu Bedreag ◽

...

Keyword(s):

Surgical Procedure ◽

Tnf Alpha ◽

Phase Reaction ◽

Statistical Validation ◽

Necrosis Factor Alpha ◽

Surgical Interventions ◽

Plasmatic Level ◽

Factor Alpha ◽

Validation Tests

This article presents an observational randomized prospective study done on 65 patients, who underwent major surgical interventions in the field of orthopedic surgery-total hip replacement or general surgery � total colectomy. The level of albuminemia in these cases were determined before the surgical intervention, after 6 hours of the intervention and after 24 h of the intervention. The measurements of the plasmatic concentration of the pro-inflammatory cytokines Tumor Necrosis factor -alpha (TNF-alpha) and interleukin 6 (IL6) were simultaneously done with the determination of the plasmatic levels of albumin. Values of hemoglobin and hematocrit were determined 24 h after the surgical procedure in order to exclude hemodilution, which could lead to a possible drop in the levels of plasmatic albumin. After the collection of the data, the statistical work was done and it consisted of descriptive statistics, correlation and comparison tests as well as statistical validation tests. Obtained results indicate that IL-6 plays a major role comparatively with that of TNF-alfa, regarding the decrease of the plasmatic level of albumin, and due to this, the primordial cause for hypoalbuminemia is an acute hepatic phase reaction. Supplemental permeability of the capillary wall under the action of TNF alpha has a secondary role, but could lead to a faster decrease in plasmatic albumin in the first hours after the surgical procedure.

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An SPRi Biosensor for Determination of the Ovarian Cancer Marker HE4 in Human Plasma

Sensors ◽

10.3390/s21103567 ◽

2021 ◽

Vol 21 (10) ◽

pp. 3567

Author(s):

Beata Szymanska ◽

Zenon Lukaszewski ◽

Beata Zelazowska-Rutkowska ◽

Kinga Hermanowicz-Szamatowicz ◽

Ewa Gorodkiewicz

Keyword(s):

Ovarian Cancer ◽

Cancer Patients ◽

Tumor Resection ◽

Analytical Signal ◽

Cancer Marker ◽

Human Epididymis Protein 4 ◽

Pearson Coefficient ◽

Rabbit Polyclonal Antibody ◽

Good Agreement

Human epididymis protein 4 (HE4) is an ovarian cancer marker. Various cut-off values of the marker in blood are recommended, depending on the method used for its determination. An alternative biosensor for HE4 determination in blood plasma has been developed. It consists of rabbit polyclonal antibody against HE4, covalently attached to a gold chip via cysteamine linker. The biosensor is used with the non-fluidic array SPRi technique. The linear range of the analytical signal response was found to be 2–120 pM, and the biosensor can be used for the determination of the HE4 marker in the plasma of both healthy subjects and ovarian cancer patients after suitable dilution with a PBS buffer. Precision (6–10%) and recovery (101.8–103.5%) were found to be acceptable, and the LOD was equal to 2 pM. The biosensor was validated by the parallel determination of a series of plasma samples from ovarian cancer patients using the Elecsys HE4 test and the developed biosensor, with a good agreement of the results (a Pearson coefficient of 0.989). An example of the diagnostic application of the developed biosensor is given—the influence of ovarian tumor resection on the level of HE4 in blood serum.

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Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients

Cancers ◽

10.3390/cancers13040786 ◽

2021 ◽

Vol 13 (4) ◽

pp. 786

Author(s):

Daniel M. Lang ◽

Jan C. Peeken ◽

Stephanie E. Combs ◽

Jan J. Wilkens ◽

Stefan Bartzsch

Keyword(s):

Deep Learning ◽

Cancer Patients ◽

Oropharyngeal Cancer ◽

Characteristic Curve ◽

Learning Models ◽

Convolutional Network ◽

Hpv Status ◽

3D Information ◽

External Test

Infection with the human papillomavirus (HPV) has been identified as a major risk factor for oropharyngeal cancer (OPC). HPV-related OPCs have been shown to be more radiosensitive and to have a reduced risk for cancer related death. Hence, the histological determination of HPV status of cancer patients depicts an essential diagnostic factor. We investigated the ability of deep learning models for imaging based HPV status detection. To overcome the problem of small medical datasets, we used a transfer learning approach. A 3D convolutional network pre-trained on sports video clips was fine-tuned, such that full 3D information in the CT images could be exploited. The video pre-trained model was able to differentiate HPV-positive from HPV-negative cases, with an area under the receiver operating characteristic curve (AUC) of 0.81 for an external test set. In comparison to a 3D convolutional neural network (CNN) trained from scratch and a 2D architecture pre-trained on ImageNet, the video pre-trained model performed best. Deep learning models are capable of CT image-based HPV status determination. Video based pre-training has the ability to improve training for 3D medical data, but further studies are needed for verification.

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