Establishing a standardized method for the effective intraoperative collection and biological preservation of brain tumor tissue samples using a novel tissue preservation system: A pilot study

Background: In the course of neoplastic diseases, a reduction in SEMA3F expression is observed, which translates into an increase in the proliferative and proangiogenic potential of cells forming the tumor and the surrounding microenvironment. Objective: The aim of this study was to determine the changes in SEMA3F level in endometrial cancer depending on its grade. Methods: The study material consisted of tissue samples: 15 without neoplastic changes (control group) and 45 with endometrial cancer (G1, 17; G2, 15; G3, 13; study group). SEMA3F expression was assessed using the immune-histochemical method. Results: The expression of SEMA3F was observed in the control group (Me = 159.38) and in the study group (G1, Me = 121.32; G2, Me = 0; G3, Me = 130.37). Differences between each grade and control and between individual grades were statistically significant. There were no significant correlations between SEMA3F expression and weight and Body Mass Index (BMI). The reduced SEMA3F expression in tumor tissue compared to healthy tissue indicates that this protein plays key roles in proliferation and angiogenesis. Conclusion: We found that depending on the severity of the disease, cancer adopts different survival strategies, where SEMA3F plays an important role. As a molecular marker, SEMA3F is not sensitive to weight and BMI.

Download Full-text

A Novel Method for Microsatellite Instability Detection by Liquid Biopsy Based on Next- Generation Sequencing

Current Bioinformatics ◽

10.2174/1574893615666200324133451 ◽

2020 ◽

Vol 15 ◽

Author(s):

Zheng Jiang ◽

Hui Liu ◽

Siwen Zhang ◽

Jia Liu ◽

Weitao Wang ◽

...

Keyword(s):

Next Generation Sequencing ◽

Microsatellite Instability ◽

Liquid Biopsy ◽

Tumor Tissue ◽

High Sensitivity ◽

Next Generation ◽

Tissue Samples ◽

Next Generation Sequencing Technology ◽

Medication Selection ◽

Generation Sequencing

Background: Microsatellite instability (MSI) is a prognostic biomarker used to guide medication selection in multiple cancers, such as colorectal cancer. Traditional PCR with capillary electrophoresis and next-generation sequencing using paired tumor tissue and leukocyte samples are the main approaches for MSI detection due to their high sensitivity and specificity. Currently, patient tissue samples are obtained through puncture or surgery, which causes injury and risk of concurrent disease, further illustrating the need for MSI detection by liquid biopsy. Methods: We propose an analytic method using paired plasma/leukocyte samples and MSI detection using next-generation sequencing technology. Based on the theoretical progress of oncogenesis, we hypothesized that the microsatellite site length in plasma equals the combination of the distribution of tumor tissue and leukocytes. Thus, we defined a window-judgement method to identify whether biomarkers were stable. Results: Compared to traditional PCR as the standard, we evaluated three methods in 20 samples (MSI-H:3/MSS:17): peak shifting method using tissue vs. leukocytes, peak shifting method using plasma vs. leukocytes, and our method using plasma vs. leukocytes. Compared to traditional PCR, we observed a sensitivity of 100%, 0%, and 100%, and a specificity of 100.00%, 94.12%, and 88.24%, respectively. Conclusion: Our method has the advantage of possibly detecting MSI in a liquid biopsy and provides a novel direction for future studies to increase the specificity of the method.

Download Full-text

Combining tissue and circulating tumor DNA increases the detection rate of a CTNNB1 mutation in hepatocellular carcinoma

BMC Cancer ◽

10.1186/s12885-021-08103-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Stine Karlsen Oversoe ◽

Michelle Simone Clement ◽

Britta Weber ◽

Henning Grønbæk ◽

Stephen Jacques Hamilton-Dutoit ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Mutation Rate ◽

Detection Rate ◽

Tumor Tissue ◽

Circulating Tumor Dna ◽

Treatment Modalities ◽

Advanced Hepatocellular Carcinoma ◽

Tissue Samples ◽

The Impact ◽

Tumor Dna

Abstract Background and aims Studies suggest that mutations in the CTNNB1 gene are predictive of response to immunotherapy, an emerging therapy for advanced hepatocellular carcinoma (HCC). Analysis of circulating tumor DNA (ctDNA) offers the possibility of serial non-invasive mutational profiling of tumors. Combining tumor tissue and ctDNA analysis may increase the detection rate of mutations. This study aimed to evaluate the frequency of the CTNNB1 p.T41A mutation in ctDNA and tumor samples from HCC patients and to evaluate the concordance rates between plasma and tissue. We further evaluated changes in ctDNA after various HCC treatment modalities and the impact of the CTNNB1 p.T41A mutation on the clinical course of HCC. Methods We used droplet digital PCR to analyze plasma from 95 patients and the corresponding tumor samples from 37 patients during 3 years follow up. Results In tumor tissue samples, the mutation rate was 8.1% (3/37). In ctDNA from HCC patients, the CTNNB1 mutation rate was 9.5% (9/95) in the pre-treatment samples. Adding results from plasma analysis to the subgroup of patients with available tissue samples, the mutation detection rate increased to 13.5% (5/37). There was no difference in overall survival according to CTNNB1 mutational status. Serial testing of ctDNA suggested a possible clonal evolution of HCC or arising multicentric tumors with separate genetic profiles in individual patients. Conclusion Combining analysis of ctDNA and tumor tissue increased the detection rate of CTNNB1 mutation in HCC patients. A liquid biopsy approach may be useful in a tailored therapy of HCC.

Download Full-text

Brain Tumor Diagnostic System—A Deep Learning Application

Machine Vision Inspection Systems, Volume 2 ◽

10.1002/9781119786122.ch4 ◽

2021 ◽

pp. 69-90

Author(s):

T. Kalaiselvi ◽

S.T. Padmapriya

Keyword(s):

Deep Learning ◽

Brain Tumor ◽

Diagnostic System ◽

System A

Download Full-text

Benefit of Static FET PET in Pretreated Pediatric Brain Tumor Patients with Equivocal Conventional MRI Results

Klinische Pädiatrie ◽

10.1055/a-1335-4844 ◽

2021 ◽

Author(s):

Frederik Grosse ◽

Florian Wedel ◽

Ulrich-Wilhelm Thomale ◽

Ingo Steffen ◽

Arend Koch ◽

...

Keyword(s):

Brain Tumor ◽

Tumor Tissue ◽

Pediatric Brain Tumor ◽

Ct Scans ◽

Tumor Patients ◽

Fet Pet ◽

Conventional Mri ◽

Pet Ct ◽

Pediatric Brain

Abstract Background MRI has shortcomings in differentiation between tumor tissue and post-therapeutic changes in pretreated brain tumor patients. Patients We assessed 22 static FET-PET/CT-scans of 17 pediatric patients (median age 12 years, range 2–16 years, ependymoma n=4, medulloblastoma n=4, low-grade glioma n=6, high-grade glioma n=3, germ cell tumor n=1, choroid plexus tumor n=1, median follow-up: 112 months) with multimodal treatment. Method FET-PET/CT-scans were analyzed visually by 3 independent nuclear medicine physicians. Additionally quantitative FET-Uptake for each lesion was determined by calculating standardized uptake values (SUVmaxT/SUVmeanB, SUVmeanT/SUVmeanB). Histology or clinical follow-up served as reference. Results Static FET-PET/CT reliably distinguished between tumor tissue and post-therapeutic changes in 16 out of 17 patients. It identified correctly vital tumor tissue in 13 patients and post-therapeutic changes in 3 patients. SUV-based analyses were less sensitive than visual analyses. Except from a choroid plexus carcinoma, all tumor entities showed increased FET-uptake. Discussion Our study comprises a limited number of patients but results corroborate the ability of FET to detect different brain tumor entities in pediatric patients and discriminate between residual/recurrent tumor and post-therapeutic changes. Conclusions We observed a clear benefit from additional static FET-PET/CT-scans when conventional MRI identified equivocal lesions in pretreated pediatric brain tumor patients. These results warrant prospective studies that should include dynamic scans.

Download Full-text