BDNF, sHLA-G, and sTREM-1 are useful blood biomarkers for identifying grade IV glioma patients

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00669806%3A_____%2F23%3A10469387" target="_blank" >RIV/00669806:_____/23:10469387 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11140/23:10469387

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vC6KQSs4fz" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vC6KQSs4fz</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4149/neo_2023_221129N1147" target="_blank" >10.4149/neo_2023_221129N1147</a>

Result language

angličtina

Original language name

BDNF, sHLA-G, and sTREM-1 are useful blood biomarkers for identifying grade IV glioma patients

Original language description

Inflammation and immunity belong to the main factors influencing tumor growth. In this study, we attempted to identify a profile of biomarkers associated with gliomas. We found decreased serum levels of sTREM-1 (soluble triggering receptor expressed on myelocytes) and increased levels of IL-10 in all grades of glioma patients in comparison with healthy controls p=0.007). However, we did not find any combination of tested markers with good sensitivity and specificity in grades II and III of glioma patients to discriminate them from healthy controls. In grade IV glioma patients, two sets of markers showed promising results in distinguishing patients from healthy people. For the first set consisting of four selected markers, sTREM-1, sHLA-G, BDNF, and IL-13, the ROC curves indicate a good discriminatory capability for glioblastoma patients (AUC=0.9510). The best discriminatory capability for glioblastoma patients (AUC=0.9534) was found for the second set consisting of three selected markers sTREM-1, sHLA-G, and BDNF with 79.2% sensitivity and 94.1% specificity.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30109 - Pathology

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neoplasma

ISSN

0028-2685

e-ISSN

1338-4317

Volume of the periodical

70

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

11

Pages from-to

166-176

UT code for WoS article

000978110900005

EID of the result in the Scopus database

2-s2.0-85150311331