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DNA methylation biomarker panels for differentiating various liver adenocarcinomas, including hepatocellular carcinoma, cholangiocarcinoma, colorectal liver metastases and pancreatic adenocarcinoma liver metastases
ID
Draškovič, Tina
(
Avtor
),
ID
Ranković, Branislava
(
Avtor
),
ID
Zidar, Nina
(
Avtor
),
ID
Hauptman, Nina
(
Avtor
)
PDF - Predstavitvena datoteka,
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MD5: E8DAA1CBEECF2B92E1141A530AA64486
URL - Izvorni URL, za dostop obiščite
https://clinicalepigeneticsjournal.biomedcentral.com/articles/10.1186/s13148-024-01766-z
Galerija slik
Izvleček
Background: DNA methylation biomarkers are one of the most promising tools for the diagnosis and differentiation of adenocarcinomas of the liver, which are among the most common malignancies worldwide. Their differentiation is important because of the different prognoses and treatment options. This study aimed to validate previously identified DNA methylation biomarkers that successfully differentiate between liver adenocarcinomas, including the two most common primary liver cancers, hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), as well as two common metastatic liver cancers, colorectal liver metastases (CRLM) and pancreatic ductal adenocarcinoma liver metastases (PCLM), and translate them to the methylation-sensitive high-resolution melting (MS-HRM) and digital PCR (dPCR) platforms. Methods: Our study included a cohort of 149 formalin-fixed, paraffin-embedded tissue samples, including 19 CRLMs, 10 PCLMs, 15 HCCs, 15 CCAs, 15 colorectal adenocarcinomas (CRCs), 15 pancreatic ductal adenocarcinomas (PDACs) and their paired normal tissue samples. The methylation status of the samples was experimentally determined by MS-HRM and methylation-specific dPCR. Previously determined methylation threshold were adjusted according to dPCR data and applied to the same DNA methylation array datasets (provided by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)) used to originally identify the biomarkers for the included cancer types and additional CRLM projects. The sensitivities, specificities and diagnostic accuracies of the panels for individual cancer types were calculated. Results: In the dPCR experiment, the DNA methylation panels identified HCC, CCA, CRC, PDAC, CRLM and PCLM with sensitivities of 100%, 66.7%, 100%, 86.7%, 94.7% and 80%, respectively. The panels differentiate between HCC, CCA, CRLM, PCLM and healthy liver tissue with specificities of 100%, 100%, 97.1% and 94.9% and with diagnostic accuracies of 100%, 94%, 97% and 93%, respectively. Reevaluation of the same bioinformatic data with new additional CRLM projects demonstrated that the lower dPCR methylation threshold still effectively differentiates between the included cancer types. The bioinformatic data achieved sensitivities for HCC, CCA, CRC, PDAC, CRLM and PCLM of 88%, 64%, 97.4%, 75.5%, 80% and 84.6%, respectively. Specificities between HCC, CCA, CRLM, PCLM and healthy liver tissue were 98%, 93%, 86.6% and 98.2% and the diagnostic accuracies were 94%, 91%, 86% and 98%, respectively. Moreover, we confirmed that the methylation of the investigated promoters is preserved from primary CRC and PDAC to their liver metastases. Conclusions: The cancer-specific methylation biomarker panels exhibit high sensitivities, specificities and diagnostic accuracies and enable differentiation between primary and metastatic adenocarcinomas of the liver using methylation-specific dPCR. High concordance was achieved between MS-HRM, dPCR and bioinformatic data, demonstrating the successful translation of bioinformatically identified methylation biomarkers from the Illumina Infinium HumanMethylation450 BeadChip (HM450) and lllumina MethylationEPIC BeadChip (EPIC) platforms to the simpler MS-HRM and dPCR platforms.
Jezik:
Angleški jezik
Ključne besede:
methylation biomarkers
,
gastric adenocarcinoma
,
lung adenocarcinoma
,
hepatocellular carcinoma
,
cholangiocarcinoma
,
colorectal carcinoma
,
pancreatic adenocarcinoma
,
adenocarcinoma differentiation
,
DNA methylation
,
primary liver cancer
,
liver metastases
,
metastatic colorectal cancer
,
metastatic pancreatic ductal adenocarcinoma
,
MS-HRM
,
digital PCR
,
diagnostic biomarkers
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
MF - Medicinska fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2024
Št. strani:
15 str.
Številčenje:
Vol. 16, art. 153
PID:
20.500.12556/RUL-169510
UDK:
616-006:575
ISSN pri članku:
1868-7083
DOI:
10.1186/s13148-024-01766-z
COBISS.SI-ID:
213961731
Datum objave v RUL:
30.05.2025
Število ogledov:
429
Število prenosov:
98
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Objavi na:
Gradivo je del revije
Naslov:
Clinical epigenetics
Skrajšan naslov:
Clin. epigenet.
Založnik:
Springer Nature
ISSN:
1868-7083
COBISS.SI-ID:
522358041
Licence
Licenca:
CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:
Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
metilacijski biooznačevalci
,
želodčni adenokarcinom
,
pljučni adenokarcinom
,
hepatocelularni karcinom
,
holangiokarcinom
,
kolorektalni karcinom
,
adenokarcinom trebušne slinavke
,
razlikovanje adenokarcinomov
,
metilacija DNA
Projekti
Financer:
ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:
P3-0054
Naslov:
Patologija in molekularna genetika
Financer:
ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:
J3-3070
Naslov:
Določanje izvora jetrnih zasevkov iz tekočinskih biopsij
Financer:
ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Program financ.:
Young researchers
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