Serum Proteins, HMMR, NXPH4, PITX1 and THBS4; A Panel of Biomarkers for Early Diagnosis of Hepatocellular Carcinoma.

early diagnosis liver cancer prediction multistage hepatocarcinogenesis serum biomarker panel signal peptide

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
11 Apr 2022
Historique:
received: 04 03 2022
revised: 08 04 2022
accepted: 08 04 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 24 4 2022
Statut: epublish

Résumé

The high morbidity rate of hepatocellular carcinoma (HCC) is mainly linked to late diagnosis. Early diagnosis of this leading cause of mortality is therefore extremely important. We designed a gene selection strategy to identify potential secretory proteins by predicting signal peptide cleavage sites in amino acid sequences derived from transcriptome data of human multistage HCC comprising chronic hepatitis, liver cirrhosis and early and overt HCCs. The gene selection process was validated by the detection of molecules in the serum of HCC patients. From the computational approaches, 10 gene elements were suggested as potent candidate secretory markers for detecting HCC patients. ELISA testing of serum showed that hyaluronan mediated motility receptor (HMMR), neurexophilin 4 (NXPH4), paired like homeodomain 1 (PITX1) and thrombospondin 4 (THBS4) are early-stage HCC diagnostic markers with superior predictive capability in a large cohort of HCC patients. In the assessment of differential diagnostic accuracy, receiver operating characteristic curve analyses showed that HMMR and THBS4 were superior to α-fetoprotein (AFP) in diagnosing HCC, as evidenced by the high area under the curve, sensitivity, specificity, accuracy and other values. In addition, comparative analysis of all four markers and AFP combinations demonstrated that HMMR-PITX1-AFP and HMMR-NXPH4-PITX1 trios were the optimal combinations for reaching 100% accuracy in HCC diagnosis. Serum proteins HMMR, NXPH4, PITX1 and THBS4 can complement measurement of AFP in diagnosing HCC and improve identification of patients with AFP-negative HCC as well as discriminate HCC from non-malignant chronic liver disease.

Identifiants

pubmed: 35456219
pii: jcm11082128
doi: 10.3390/jcm11082128
pmc: PMC9027255
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Research Foundation of Korea
ID : 2021M3E5E7021893

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Auteurs

Jung Woo Eun (JW)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Department of Gastroenterology, Ajou University School of Medicine, Suwon 16499, Korea.

Jeong Won Jang (JW)

Department of Internal Medicine, The Catholic University of Korea College of Medicine, Seoul 06591, Korea.
Liver Cirrhosis Clinical Research Center, Seoul 06591, Korea.

Hee Doo Yang (HD)

Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
NEORNAT, Inc., Seoul 06591, Korea.

Jooyoung Kim (J)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.

Sang Yean Kim (SY)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Min Jeong Na (MJ)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Eunbi Shin (E)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Jin Woong Ha (JW)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Soyoung Jeon (S)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Young Min Ahn (YM)

Department of Kidney System, College of Oriental Medicine, Kyung Hee University, Seoul 02447, Korea.

Won Sang Park (WS)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.

Suk Woo Nam (SW)

Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Functional RNomics Research Center, The Catholic University of Korea, Seoul 06591, Korea.
NEORNAT, Inc., Seoul 06591, Korea.
Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Classifications MeSH