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Protein profiling gastric cancer and neighboring control tissues using high-content antibody microarrays
ID
Sill, Martin
(
Avtor
),
ID
Schröder, Christoph
(
Avtor
),
ID
Shen, Ying
(
Avtor
),
ID
Marzoq, Aseel
(
Avtor
),
ID
Komel, Radovan
(
Avtor
),
ID
Hoheisel, Jörg
(
Avtor
),
ID
Nienhüser, Henrik
(
Avtor
),
ID
Schmidt, Thomas
(
Avtor
),
ID
Kastelic, Damjana
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(1,80 MB)
MD5: 5EC0EEC3E0CA6DABD140EFBE26C40332
URL - Izvorni URL, za dostop obiščite
http://www.mdpi.com/2076-3905/5/3/19
Galerija slik
Izvleček
In this study, protein profiling was performed on gastric cancer tissue samples in order to identify proteins that could be utilized for an effective diagnosis of this highly heterogeneous disease and as targets for therapeutic approaches. To this end, 16 pairs of postoperative gastric adenocarcinomas and adjacent non-cancerous control tissues were analyzed on microarrays that contain 813 antibodies targeting 724 proteins. Only 17 proteins were found to be differentially regulated, with much fewer molecules than the numbers usually identified in studies comparing tumor to healthy control tissues. Insulin-like growth factor-binding protein 7 (IGFBP7), S100 calcium binding protein A9 (S100A9), interleukin-10 (IL-10) and mucin 6 (MUC6) exhibited the most profound variations. For an evaluation of the proteins' capacity for discriminating gastric cancer, a Receiver Operating Characteristic curve analysis was performed, yielding an accuracy (area under the curve) value of 89.2% for distinguishing tumor from non-tumorous tissue. For confirmation, immunohistological analyses were done on tissue slices prepared from another cohort of patients with gastric cancer. The utility of the 17 marker proteins, and particularly the four molecules with the highest specificity for gastric adenocarcinoma, is discussed for them to act as candidates for diagnosis, even in serum, and targets for therapeutic approaches.
Jezik:
Angleški jezik
Ključne besede:
gastric cancer
,
adenocarcinoma
,
biomarker identification
,
affinity based proteomics
,
antibody microarrays
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
MF - Medicinska fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2016
Št. strani:
12 str.
Številčenje:
Vol. 5, iss. 3, art. 19
PID:
20.500.12556/RUL-131546
UDK:
616-006
ISSN pri članku:
2076-3905
DOI:
10.3390/microarrays5030019
COBISS.SI-ID:
32738265
Datum objave v RUL:
29.09.2021
Število ogledov:
932
Število prenosov:
128
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Microarrays
Skrajšan naslov:
Microarrays
Založnik:
MDPI
ISSN:
2076-3905
COBISS.SI-ID:
519984921
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
01.09.2016
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
rak želodca
,
adenokarcinom
,
identifikacija biomarkerjev
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