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DNA Methylation Biomarkers and Metastasis of Gastric Carcinoma

17 juni 2015 uppdaterad av: Zhaojun Liu, Peking University Cancer Hospital & Institute

A Cohort Study on Prediction of Metastasis of Gastric Carcinoma by DNA Methylation Biomarkers

Gastric carcinoma (GC) is the second leading cause of cancer death throughout the world. In previous multi-center study, we have found that the prevalence of GDNF family receptor alpha 1(GFRA1), serum response factor (SRF), and ZNF382 methylation alterations were inversely and coordinately associated with GC metastasis and the patients' overall survival throughout discovery and testing cohorts in China, Japan and Korea. The present cohort study is to investigate whether methylation of those genes can predict the metastasis and prognosis of GC.

Studieöversikt

Status

Avslutad

Betingelser

Detaljerad beskrivning

Background: Metastasis is the leading cause of death for gastric carcinoma (GC). Currently, GC prognosis is primarily determined based on the clinical data and pathological stages of patients at the time of diagnosis and treatment. However, successful management of GC patients is still hampered by lack of highly sensitive and specific biomarkers capable of predicting prognosis and likelihood of metastasis. GFRA1 hypomethylation along with SRF and ZNF382 hypermethylation were found to be potential synergistic biomarkers for the prediction of GC metastasis in our previous multi-center study. In addition, p16 and E-cadherin were also correlated with GC metastasis in Chinese cohort. To investigate the predictive value of those genes' methylation on metastasis potential in GC, we carried out the prospective cohort study.

Methods: 198 early stage GC patients without lymph node or distal metastasis were included in the present study. Baseline information of E-cadherin, GFRA1, p16, SRF and ZNF382 methylation status of the GC from 191 cases was obtained by MethyLight. The follow-up examination was carried out in a double-blind study with a 6-month interval. The association between gene methylation and metastasis of GC was analyzed with SPSS16.0 software. All P-values were two-sided.

Studietyp

Observationell

Inskrivning (Faktisk)

198

Kontakter och platser

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Studieorter

    • Beijing
      • Beijing, Beijing, Kina, 100000
        • Beijing Cancer Hospital & Institute

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

  • Barn
  • Vuxen
  • Äldre vuxen

Tar emot friska volontärer

Nej

Kön som är behöriga för studier

Allt

Testmetod

Sannolikhetsprov

Studera befolkning

198 early stage gastric carcinoma (GC) inpatients that underwent surgical treatment at Peking University Cancer Hospital & Institute between 2002 and 2012 were enrolled in the cohort. All of the enrolled patients had been diagnosed pathologically by senior pathologists. The 2010 UICC-TNM (tumor-node-metastasis) system was used for the classification of GCs. All cases involved primary lesions without neoadjuvant chemotherapy. Genes methylation status of GC samples was analyzed with MethyLight combined with denatured high performance liquid chromatography. 191 eligible cases with gene-methylated or gene-methylated GC were enrolled into the cohort study.

Beskrivning

Inclusion Criteria:

  • Histological diagnosis of gastric adenocarcinoma;
  • Early stage GC without lymph node and distal metastasis;
  • Availability of frozen, fresh GC and corresponding surgical margin samples;
  • Available of methylation status of gene CpG island in the extracted DNA sample.

Exclusion Criteria:

  • GC with lymph node or distal metastasis;
  • Quality of the prepared DNA is not good enough for detection of gene methylation;
  • GC cases were subjected to the neoadjuvant chemotherapy.

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

  • Observationsmodeller: Kohort
  • Tidsperspektiv: Blivande

Kohorter och interventioner

Grupp / Kohort
gene-methylation

gene-low-level of methylation: patients with early stage gastric carcinoma containing low-level of methylation change of E-cadherin,GFRA1,p16,SRF and ZNF382 CpG island.

gene-middle-level of methylation: patients with early stage gastric carcinoma containing middle-level of methylation change of E-cadherin,GFRA1,p16,SRF and ZNF382 CpG island.

gene-high-level of methylation: patients with early stage gastric carcinoma containing high-level of methylation change of E-cadherin,GFRA1,p16,SRF and ZNF382 CpG island.

gene-without of methylation: patients with early stage gastric carcinoma NOT containing methylated E-cadherin,GFRA1,p16,SRF or ZNF382 CpG island.

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Metastasis and/ or recurrence of gastric carcinoma
Tidsram: 3 years
The hazard ratio, positive prediction value, and negative prediction value of metastasis/recurrence of gastric carcinomas are calculated according to the metastasis/recurrence frequences among patients with the different methylation status of each target gene CpG islands. These patients are classified into four groups for each gene: A) cases without methylation change; B) cases with the low-level of methylation change (33.3% of cases with methylation change); C) cases with the middle-level of methylation change (33.3% of cases with methylation change); D) cases with the high-level of methylation change (33.3% of cases with methylation change). Combination analysis will be carried out using Support Vector Classification model.
3 years

Sekundära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Disease-free (Recurrence/metastasis-free) survival (DFS) and overall survival (OS) of patients with gastric carcinoma after surgical resection
Tidsram: from 4 months to 144 months
The classification of patients is the same as the primary outcome measure. The log-rank test will be used to compare survival time between groups. Cox-proportional hazards models will be used to identify independent predictors of survival (month) with adjustment for relevant clinical covariates
from 4 months to 144 months

Samarbetspartners och utredare

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Samarbetspartners

Utredare

  • Studierektor: Dajun Deng, Master, Peking University Cancer Hospital & Institute

Publikationer och användbara länkar

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Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart

1 december 2012

Primärt slutförande (Faktisk)

1 juni 2015

Avslutad studie (Faktisk)

1 juni 2015

Studieregistreringsdatum

Först inskickad

6 juni 2014

Först inskickad som uppfyllde QC-kriterierna

6 juni 2014

Första postat (Uppskatta)

9 juni 2014

Uppdateringar av studier

Senaste uppdatering publicerad (Uppskatta)

19 juni 2015

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

17 juni 2015

Senast verifierad

1 juni 2015

Mer information

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