Dataset Information

Plasma matrix metalloproteinase 1 improves the detection and survival prediction of esophageal squamous cell carcinoma.

ABSTRACT: This study aimed to identify noninvasive protein markers capable of detecting the presence and prognosis of esophageal squamous-cell carcinoma (ESCC). Analyzing microarray expression data collected from 17-pair ESCC specimens, we identified one protein, matrix metalloproteinase-1 (MMP1), as a possibly useful marker. Plasma MMP1 was then measured by enzyme-linked immunosorbent assay (ELISA) in 210 ESCC patients and 197 healthy controls. ESCC patients had higher mean levels of MMP1 than controls (8.7?±?7.5?vs. 6.7?±?4.9?ng/mL, p??9.67?ng/mL had a 48% increase in the risk of ESCC death (adjusted hazard ratio?=?1.48; 95% CI?=?1.04-2.10). In conclusion, plasma MMP1 may serve as a noninvasive marker of detecting the presence and predicting the survival of ESCC.

SUBMITTER: Chen YK

PROVIDER: S-EPMC4951749 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Plasma matrix metalloproteinase 1 improves the detection and survival prediction of esophageal squamous cell carcinoma.

Chen Yu-Kuei YK Tung Chun-Wei CW Lee Jui-Ying JY Hung Yi-Chun YC Lee Chien-Hung CH Chou Shah-Hwa SH Lin Hung-Shun HS Wu Ming-Tsang MT Wu I-Chen IC

Scientific reports 20160720

This study aimed to identify noninvasive protein markers capable of detecting the presence and prognosis of esophageal squamous-cell carcinoma (ESCC). Analyzing microarray expression data collected from 17-pair ESCC specimens, we identified one protein, matrix metalloproteinase-1 (MMP1), as a possibly useful marker. Plasma MMP1 was then measured by enzyme-linked immunosorbent assay (ELISA) in 210 ESCC patients and 197 healthy controls. ESCC patients had higher mean levels of MMP1 than controls ( ...[more]

PMID: 27436512

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Project description:BackgroundThe polymorphisms of the cyclin-dependent kinase inhibitor (CDKN1A) gene and matrix metalloproteinase-9 (MMP9) gene may increase one's susceptibility to malignancies. In this study, the association of the single nucleotide polymorphisms (SNPs) CDKN1A rs1059234 c.70C>T at the 3' untranslated region and MMP9 rs17576 (c.836A>G, p.Gln279Arg) with esophageal squamous cell carcinoma (ESCC) in Sudanese individuals were investigated.Materials and methodsA case-control study involving age- and gender-matched groups were conducted in a cancer center in eastern Sudan (Gadarif) between April and October 2020. The case group consisted of ESCC patients, whereas the control group comprised healthy subjects. Polymerase chain reaction-restriction fragment length polymorphism was performed for the genotyping of the CDKN1A rs1059234 and MMP9 rs17576 SNPs. The genotyping results were confirmed by Sanger sequencing.ResultsThe genotype distributions for CDKN1A rs1059234 and MMP9 rs17576 were in agreement with the Hardy-Weinberg equilibrium. The variant allele T in CDKN1 rs1059234 c.70C>T was significantly more prevalent in the ESCC patients than in the healthy controls [51.3% vs. 19.2%; OR = 4.4; 95% CI (2.6-7.4); p < 0.001]. Moreover, in CDKN1A rs1059234, the genotype TC + TT [76.9% vs. 38.4%; OR = 5.3; 95% CI (2.6-10.7); p < 0.001] was more frequent in the cases than in the controls, and it was significantly associated with ESCC risk. In MMP9 rs17576, the variant allele G was also significantly prevalent in the cases relative to the controls, and it was significantly associated with increased ESCC risk in the cases compared with the controls [27.5% vs. 1.9%; OR = 19.4; 95%CI (5.8-64.1); p < 0.001]. Both genotypes containing the allele G (AG + GG) were the most common genotypes in the cases [48.7% vs. 3.8%; OR = 23.7; 95%CI (6.8-81.7); p < 0.001], and they significantly increased the risk of ESCC.ConclusionA significant increase in ESCC risk is associated with the SNPs CDKN1A rs1059234 and MMP9 rs17576.

Dataset Information

Plasma matrix metalloproteinase 1 improves the detection and survival prediction of esophageal squamous cell carcinoma.

Publications

Plasma matrix metalloproteinase 1 improves the detection and survival prediction of esophageal squamous cell carcinoma.

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