scholarly journals BIOMARKERS FOR EARLY DIAGNOSTICS OF BRAIN TUMORS

2021 ◽  
Vol 22 (1) ◽  
pp. 86-96
Author(s):  
I.A. Medyanik ◽  
A.S. Gordetsov ◽  
K.S. Yashin ◽  
O.V. Krasnikova ◽  
Frayerman ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Brain Tumors ◽  
Blood Serum ◽  
Early Stage ◽  
Combined Therapy ◽  
Research Direction ◽  
Ct Scans ◽  
Early Diagnostics ◽  
Prospective Research

Early diagnostics of brain tumors – is an important component of combined therapy for treatment neoplasms. Searching markers of glioma allowing to diagnose tumors at an early stage (before appearance of some changes on MRI and CT scans), to predict their course and to estimate the effectiveness of the performed therapy is a prospective research direction. Now-a-days the properties of microRNK and infrared spectroscopy of blood serum is being studied actively. This review covers results of the performed studies, confirming the possibility of application of such methods as biomarkers of glioma.

scholarly journals Analysis of infrared spectra of blood serum of patients with multiple myeloma

2021 ◽  
Vol 2103 (1) ◽  
pp. 012052
Author(s):  
D A Chernyshev ◽  
E S Mikhailets ◽  
E A Telnaya ◽  
L V Plotnikova ◽  
A D Garifullin ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Principal Component Analysis ◽  
Infrared Spectroscopy ◽  
Blood Serum ◽  
Infrared Spectra ◽  
Early Stage ◽  
Principal Component ◽  
Healthy Donors ◽  
Components Analysis ◽  
Serious Disease

Abstract Multiple myeloma (MM) is a serious disease that is difficult to diagnose especially at early stage. Infrared spectroscopy is a promising approach for diagnosing MM. The principal component analysis (PCA) allows us to reduce the dimension of the data and keep only the important variables. In this study, we apply principal components analysis to infrared (IR) spectra of blood serum from healthy donors and multiple myeloma patients. As a result of the analysis by PCA, it was possible to visualize the separation of patient’s and donor’s samples into two clusters. The result indicates that this method is potentially applicable for diagnosis of multiple myeloma.

scholarly journals Infrared spectroscopy in detection of brain tumor of different morphological structure

2021 ◽  
Vol 22 (1) ◽  
pp. 218-226
Author(s):  
I.A. IMedyanik ◽  
A.S. Gordetsov ◽  
O.V. Krasnikova ◽  
A.R. Kondratyeva1 ◽  
S.K. Badu ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Infrared Spectroscopy ◽  
Brain Tumors ◽  
Blood Serum ◽  
Healthy Volunteers ◽  
Morphological Structure ◽  
Brain Lesions ◽  
Absorption Bands ◽  
Cerebrovascular Accidents ◽  
Diagnosis Method

The study considers the results of application of blood serum infrared spectroscopy as a diagnosis method of brain tumors with various morphological structure. The study involves 99 patients with brain tumors (glioblastomas were diagnosed in 22 patients, astrocytomas – in 21, neuromas – in 13, meningiomas – in 12, ependymomas – in 11, oligodendroastrocytomas – in 10, hypophyseal adenomas – in 10 patients), 16 patients with acute cerebrovascular accidents of ischemic type, 24 patients with severe traumatic brain injury and 20 healthy volunteers. In each studied case, 13 ratios of peak heights of blood serum infrared spectrum absorption bands were studied applying infrared spectroscopy (IRS). The results of morphological and immunohistochemical examinations were compared with the results of blood serum IRS data of patients with brain tumors. There were statistically significant correlations between the histological nature of brain tumors and IRS values. Statistically significant differences between the blood serum IRS of patients with tumor, non-tumor brain lesions and healthy volunteers were also found.

Brain Tumor Detection via Asymmetry Quantification across Mid Sagittal Plane

2020 ◽  
Vol 13 ◽  
Author(s):  
Shoaib Amin Banday ◽  
Mohammad Khalid Pandit
Keyword(s):  
Brain Tumor ◽  
Brain Tumors ◽  
Sagittal Plane ◽  
Early Stage ◽  
Imaging Techniques ◽  
Complex Structure ◽  
Magnetic Resonance Images ◽  
Absolute Difference ◽  
Brain Hemispheres ◽  
The Brain

Introduction: Brain tumor is among the major causes of morbidity and mortality rates worldwide. According to National Brain Tumor Foundation (NBTS), the death rate has nearly increased by as much as 300% over last couple of decades. Tumors can be categorized as benign (non-cancerous) and malignant (cancerous). The type of the brain tumor significantly depends on various factors like the site of its occurrence, its shape, the age of the subject etc. On the other hand, Computer Aided Detection (CAD) has been improving significantly in recent times. The concept, design and implementation of these systems ascend from fairly simple ones to computationally intense ones. For efficient and effective diagnosis and treatment plans in brain tumor studies, it is imperative that an abnormality is detected at an early stage as it provides a little more time for medical professionals to respond. The early detection of diseases has predominantly been possible because of medical imaging techniques developed from past many decades like CT, MRI, PET, SPECT, FMRI etc. The detection of brain tumors however, has always been a challenging task because of the complex structure of the brain, diverse tumor sizes and locations in the brain. Method: This paper proposes an algorithm that can detect the brain tumors in the presence of the Radio-Frequency (RF) inhomoginiety. The algorithm utilizes the Mid Sagittal Plane as a landmark point across which the asymmetry between the two brain hemispheres is estimated using various intensity and texture based parameters. Result: The results show the efficacy of the proposed method for the detection of the brain tumors with an acceptable detection rate. Conclusion: In this paper, we have calculated three textural features from the two hemispheres of the brain viz: Contrast (CON), Entropy (ENT) and Homogeneity (HOM) and three parameters viz: Root Mean Square Error (RMSE), Correlation Co-efficient (CC), and Integral of Absolute Difference (IAD) from the intensity distribution profiles of the two brain hemispheres to predict any presence of the pathology. First a Mid Sagittal Plane (MSP) is obtained on the Magnetic Resonance Images that virtually divides brain into two bilaterally symmetric hemispheres. The block wise texture asymmetry is estimated for these hemispheres using the above 6 parameters.

scholarly journals Intranasal administration of the chemotherapeutic perillyl alcohol results in selective delivery to the cerebrospinal fluid in rats

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Geetika Nehra ◽  
Shannon Andrews ◽  
Joan Rettig ◽  
Michael N. Gould ◽  
Jill D. Haag ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Brain Tumors ◽  
Nasal Mucosa ◽  
Brain Cancer ◽  
Intranasal Administration ◽  
High Performance ◽  
Early Stage ◽  
Plasma Concentrations ◽  
Perillyl Alcohol ◽  
Systemic Absorption

AbstractPerillyl alcohol (POH) has been extensively studied for the treatment of peripheral and primary brain tumors. The intranasal route of administration has been preferred for dosing POH in early-stage clinical trials associated with promising outcomes in primary brain cancer. However, it is unclear how intranasal POH targets brain tumors in these patients. Multiple studies indicate that intranasally applied large molecules may enter the brain and cerebrospinal fluid (CSF) through direct olfactory and trigeminal nerve-associated pathways originating in the nasal mucosa that bypass the blood–brain barrier. It is unknown whether POH, a small molecule subject to extensive nasal metabolism and systemic absorption, may also undergo direct transport to brain or CSF from the nasal mucosa. Here, we compared CSF and plasma concentrations of POH and its metabolite, perillic acid (PA), following intranasal or intravascular POH application. Samples were collected over 70 min and assayed by high-performance liquid chromatography. Intranasal administration resulted in tenfold higher CSF-to-plasma ratios for POH and tenfold higher CSF levels for PA compared to equal dose intravascular administration. Our preclinical results demonstrate POH undergoes direct transport from the nasal mucosa to the CSF, a finding with potential significance for its efficacy as an intranasal chemotherapeutic for brain cancer.

scholarly journals Advances in the role of miRNAs in the occurrence and development of osteosarcoma

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 1003-1011
Author(s):  
Guanyu Zhang ◽  
Yiran Li ◽  
Jiasheng Xu ◽  
Zhenfang Xiong
Keyword(s):  
Target Gene ◽  
Early Stage ◽  
Research Direction ◽  
Research Progress ◽  
Skeletal System ◽  
Translation Process ◽  
Non Coding Rnas ◽  
New Research ◽  
Post Transcriptional Regulation

AbstractOsteosarcoma (OS) is the most common primary malignant tumor of the skeletal system in the clinic. It mainly occurs in adolescent patients and the pathogenesis of the disease is very complicated. The distant metastasis may occur in the early stage, and the prognosis is poor. MicroRNAs (miRNAs) are non-coding RNAs of about 18–25 nt in length that are involved in post-transcriptional regulation of genes. miRNAs can regulate target gene expression by promoting the degradation of target mRNAs or inhibiting the translation process, thereby the proliferation of OS cells can be inhibited and the apoptosis can be promoted; in this way, miRNAs can affect the metabolism of OS cells and can also participate in the occurrence, invasion, metastasis, and recurrence of OS. Some miRNAs have already been found to be closely related to the prognosis of patients with OS. Unlike other reviews, this review summarizes the miRNA molecules closely related to the development, diagnosis, prognosis, and treatment of OS in recent years. The expression and influence of miRNA molecule on OS were discussed in detail, and the related research progress was summarized to provide a new research direction for early diagnosis and treatment of OS.

Stem-like tumor cells and proinflammatory cytokines in the ascitic fluid of ovarian cancer patients

2021 ◽  
Vol 66 (5) ◽  
pp. 297-303
Author(s):  
S. O. Gening ◽  
T. V. Abakumova ◽  
I. I. Antoneeva ◽  
A. A. Rizvanov ◽  
T. P. Gening ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Blood Serum ◽  
Tumor Cells ◽  
Ascitic Fluid ◽  
Early Stage ◽  
Abdominal Cavity ◽  
Disease Stage ◽  
Cell Populations ◽  
Benign Ovarian Tumors ◽  
Number Of Cells

Ovarian cancer (OC) is able to develop implantation metastases in the abdominal cavity. Ascites is potentially useful for evaluating cancer features. The aim of the study was to assess the content of stem-like tumor cells and inflammatory mediators in ascites of OC. The prospective study included 11 patients with primary OC having ascites, 8 patients with benign ovarian tumors having ascites and 22 healthy women. In ascitic fluid obtained by laparocentesis, the populations of tumor stem-like cells were determined on a Cytoflex S` flow cytometer (Beckman Coulter, USA) and CytExpert Software using monoclonal antibodies to CD45, CD44 and CD133. The cytokine profiles of ascitic fluid and blood serum (IL-1β, IL-18, IL-4, IL-10 and VEGF) were assessed by ELISA. Stem-like cells were found in all samples. 5 cell populations were evaluated. The number of cells expressing both markers: CD44 + and CD133+, was the lowest. The highest, about 32%, was the number of CD44+ cells. The number of cells CD45-CD44+CD133- in ascites strongly positively correlated with the content of IL-10 in ascites, and the numbers of CD45-CD133+ and CD45-CD44-CD133+ - with the level of VEGF in blood serum. No correlations were found between the numbers of stem-like cells and the disease stage or the level of CA125 in blood. The combination of IL-4 and IL-10 in ascites had the greatest significance in predicting the disease stage. These results suggest a relationship between the levels of VEGF, IL-10, and cancer stem cells in the OC ascites. Stem-like cells in OC ascites are heterogeneous and are present even at an early stage of the disease. It seems promising to study cell populations and cytokine profile of ascites together, to assess the biomarker potential of their combination.

Epidemiological studies of CT scans and cancer risk: the state of the science

2021 ◽  
Vol 94 (1126) ◽  
pp. 20210471 ◽  
Author(s):  
Amy Berrington de Gonzalez ◽  
Elisa Pasqual ◽  
Lene Veiga
Keyword(s):  
Brain Tumors ◽  
Effective Dose ◽  
Dose Response ◽  
Public Health Problem ◽  
Epidemiological Studies ◽  
Ct Scans ◽  
Medical Record Linkage ◽  
Cancer Risks ◽  
Organ Doses ◽  
Study Methodology

20 years ago, 3 manuscripts describing doses and potential cancer risks from CT scans in children raised awareness of a growing public health problem. We reviewed the epidemiological studies that were initiated in response to these concerns that assessed cancer risks from CT scans using medical record linkage. We evaluated the study methodology and findings and provide recommendations for optimal study design for new efforts. We identified 17 eligible studies; 13 with published risk estimates, and 4 in progress. There was wide variability in the study methodology, however, which made comparison of findings challenging. Key differences included whether the study focused on childhood or adulthood exposure, radiosensitive outcomes (e.g. leukemia, brain tumors) or all cancers, the exposure metrics (e.g. organ doses, effective dose or number of CTs) and control for biases (e.g. latency and exclusion periods and confounding by indication). We were able to compare results for the subset of studies that evaluated leukemia or brain tumors. There were eight studies of leukemia risk in relation to red bone marrow (RBM) dose, effective dose or number of CTs; seven reported a positive dose–response, which was statistically significant (p < 0.05) in four studies. Six of the seven studies of brain tumors also found a positive dose–response and in five, this was statistically significant. Mean RBM dose ranged from 6 to 12 mGy and mean brain dose from 18 to 43 mGy. In a meta-analysis of the studies of childhood exposure the summary ERR/100 mGy was 1.78 (95%CI: 0.01–3.53) for leukemia/myelodisplastic syndrome (n = 5 studies) and 0.80 (95%CI: 0.48–1.12) for brain tumors (n = 4 studies) (p-heterogeneity >0.4). Confounding by cancer pre-disposing conditions was unlikely in these five studies of leukemia. The summary risk estimate for brain tumors could be over estimated, however, due to reverse causation. In conclusion, there is growing evidence from epidemiological data that CT scans can cause cancer. The absolute risks to individual patients are, however, likely to be small. Ongoing large multicenter cohorts and future pooling efforts will provide more precise risk quantification.

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