ArticleScientific reports2018
A microsatellite based multiplex PCR method for the detection of chromosomal instability in gastric cancer.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment.PLoS computational biology · 2024Article
- The reckoning of chromosomal instability: past, present, future.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2024Review
- Article
- Molecular subtyping of gastroesophageal dysplasia heterogeneity according to TCGA/ACRG classes.Virchows Archiv : an international journal of pathology · 2022Article
- Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study.BioMed research international · 2022Article
- Diverse 'just-right' levels of chromosomal instability and their clinical implications in neoadjuvant treated gastric cancer.British journal of cancer · 2021Article
- Detecting Chromosome Instability in Cancer: Approaches to Resolve Cell-to-Cell Heterogeneity.Cancers · 2019Review
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Chromosomal instability (CIN) is a hallmark of distinct subclasses of tumours with potential clinical relevance. The aim of our study was to establish a time and cost effective method for the determination of CIN in gastric carcinomas (GC). We developed a microsatellite based multiplex PCR assay for the detection of allelic imbalances (AI) using experimentally defined marker specific threshold values for AI. The assay was tested in 90 formalin-fixed paraffin-embedded GC and results were compared in a subset of 30 carcinomas with the Affymetrix OncoScan assay, which detects copy number variations on genome wide level. The ratios of alterations detected by the two methods demonstrated a significant correlation (r = 0.88). Based on the results of the OncoScan assay, tumours were classified in CIN-High and CIN-Low and a threshold of the AI ratio determined with the PCR assay was defined. Accordingly, 20 of the 90 GC (22%) were CIN-Low and 70 (78%) CIN-High. A significant association of CIN-High was found with intestinal type tumours and proximal tumour localization. In conclusion, we established a PCR based method to categorize AI as surrogate for CIN, which is easy to perform and useful for the clarification of the clinical relevance of CIN in large GC cohorts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.