scholarly journals A novel nanoprobe-based assay for detecting K-ras mutations in plasma and stool samples from patients with pancreatic cancer: value in diagnosis and prognosis evaluation

2018 ◽  
Vol 7 (4) ◽  
pp. 969-977
Author(s):  
Fei Chen ◽  
Xiao-Guang Wang ◽  
Li-Feng Qi ◽  
Juan-Fen Mo ◽  
Zheng-Xiang Zhong
1999 ◽  
Vol 384 (2) ◽  
pp. 181-186 ◽  
Author(s):  
F. A. Wenger ◽  
J. Zieren ◽  
F. J. Peter ◽  
C. A. Jacobi ◽  
J. M. Müller

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Rui-kun Zhang ◽  
Jia-lin Liu

Abstract Background Hepatocellular carcinoma (HCC) is one of the most common and invasive malignant tumors in the world. The change in DNA methylation is a key event in HCC. Methods Methylation datasets for HCC and 17 other types of cancer were downloaded from The Cancer Genome Atlas (TCGA). The CpG sites with large differences in methylation between tumor tissues and paracancerous tissues were identified. We used the HCC methylation dataset downloaded from the TCGA as the training set and removed the overlapping sites among all cancer datasets to ensure that only CpG sites specific to HCC remained. Logistic regression analysis was performed to select specific biomarkers that can be used to diagnose HCC, and two datasets—GSE157341 and GSE54503—downloaded from GEO as validation sets were used to validate our model. We also used a Cox regression model to select CpG sites related to patient prognosis. Results We identified 6 HCC-specific methylated CpG sites as biomarkers for HCC diagnosis. In the training set, the area under the receiver operating characteristic (ROC) curve (AUC) for the model containing all these sites was 0.971. The AUCs were 0.8802 and 0.9711 for the two validation sets from the GEO database. In addition, 3 other CpG sites were analyzed and used to create a risk scoring model for patient prognosis and survival prediction. Conclusions Through the analysis of HCC methylation datasets from the TCGA and Gene Expression Omnibus (GEO) databases, potential biomarkers for HCC diagnosis and prognosis evaluation were ascertained.


2021 ◽  
pp. 1-11
Author(s):  
Yipu Mao ◽  
Muliang Jiang ◽  
Fanyu Zhao ◽  
Liling Long

Currently, DSC has been extensively studied in the diagnosis, differential diagnosis and prognosis evaluation of brain lymphoma, but it has not obtained a uniform standard. By combining DSC imaging features, this study investigated the imaging features and diagnostic value of several types of tumors such as primary brain lymphoma. At the same time, this study obtained data from brain lymphoma patients by data collection and set up different groups to conduct experimental studies to explore the correlation between IVIM-MRI perfusion parameters and DSC perfusion parameters in brain lymphoma. Through experimental research, it can be seen that the combination of two perfusion imaging techniques can more fully reflect the blood flow properties of the lesion, which is beneficial to determine the nature of the lesion.


Pancreas ◽  
2007 ◽  
Vol 35 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Marta Crous-Bou ◽  
Miquel Porta ◽  
Tom??s L??pez ◽  
Manuel Jariod ◽  
N??ria Malats ◽  
...  

2005 ◽  
Vol 31 (2) ◽  
pp. 164-169 ◽  
Author(s):  
X.G. Ni ◽  
X.F. Bai ◽  
Y.L. Mao ◽  
Y.F. Shao ◽  
J.X. Wu ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4844
Author(s):  
Mareike Waldenmaier ◽  
Tanja Seibold ◽  
Thomas Seufferlein ◽  
Tim Eiseler

Even with all recent advances in cancer therapy, pancreatic cancer still has a dismal 5-year survival rate of less than 7%. The most prevalent tumor subtype is pancreatic ductal adenocarcinoma (PDAC). PDACs display an extensive crosstalk with their tumor microenvironment (TME), e.g., pancreatic stellate cells, but also immune cells to regulate tumor growth, immune evasion, and metastasis. In addition to crosstalk in the local TME, PDACs were shown to induce the formation of pre-metastatic niches in different organs. Recent advances have attributed many of these interactions to intercellular communication by small extracellular vesicles (sEVs, exosomes). These nanovesicles are derived of endo-lysosomal structures (multivesicular bodies) with a size range of 30–150 nm. sEVs carry various bioactive cargos, such as proteins, lipids, DNA, mRNA, or miRNAs and act in an autocrine or paracrine fashion to educate recipient cells. In addition to tumor formation, progression, and metastasis, sEVs were described as potent biomarker platforms for diagnosis and prognosis of PDAC. Advances in sEV engineering have further indicated that sEVs might once be used as effective drug carriers. Thus, extensive sEV-based communication and applications as platform for biomarker analysis or vehicles for treatment suggest a major impact of sEVs in future PDAC research.


Medicine ◽  
2019 ◽  
Vol 98 (51) ◽  
pp. e18487
Author(s):  
Zhuo Fu ◽  
Yan Jiao ◽  
Yanqing Li ◽  
Bai Ji ◽  
Baoxing Jia ◽  
...  

1999 ◽  
Vol 53 (11) ◽  
pp. 702-709 ◽  
Author(s):  
M. Porta ◽  
N. Malats ◽  
L. Guarner ◽  
A. Carrato ◽  
J. Rifa ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document