ArticleWorld journal of gastroenterology2010
Alterations of tumor-related genes do not exactly match the histopathological grade in gastric adenocarcinomas.
Article in World journal of gastroenterology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Predicting the Severity of Parkinson's Disease Dementia by Assessing the Neuropsychiatric Symptoms with an SVM Regression Model.International journal of environmental research and public health · 2021Article
- The Role and Clinical Implications of the Retinoblastoma (RB)-E2F Pathway in Gastric Cancer.Frontiers in oncology · 2021Review
- Expression of Cytokines Interleukin-2, Interleukin-4, Interleukin-10 and Transforming Growth Factor β in Gastric Adenocarcinoma Biopsies Obtained from Mexican PatientsAsian Pacific journal of cancer prevention : APJCP · 2017Article
- Molecular classification and prediction in gastric cancer.Computational and structural biotechnology journal · 2015Review
- Histopathology-based prognostic score is independent prognostic factor of gastric carcinoma.BMC cancer · 2014Article
- Evaluation of Gastric Carcinomas Histological Patterns in Relation to Tumors Aggressiveness Parameters.Current health sciences journalArticle
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo investigate the diverse characteristics of different pathological gradings of gastric adenocarcinoma (GA) using tumor-related genes.
methodsGA tissues in different pathological gradings and normal tissues were subjected to tissue arrays. Expressions of 15 major tumor-related genes were detected by RNA in situ hybridization along with 3' terminal digoxin-labeled anti-sense single stranded oligonucleotide and locked nucleic acid modifying probe within the tissue array. The data obtained were processed by support vector machines by four different feature selection methods to discover the respective critical gene/gene subsets contributing to the GA activities of different pathological gradings.
resultsIn comparison of poorly differentiated GA with normal tissues, tumor-related gene TP53 plays a key role, although other six tumor-related genes could also achieve the Area Under Curve (AUC) of the receiver operating characteristic independently by more than 80%. Comparing the well differentiated GA with normal tissues, we found that 11 tumor-related genes could independently obtain the AUC by more than 80%, but only the gene subsets, TP53, RB and PTEN, play a key role. Only the gene subsets, Bcl10, UVRAG, APC, Beclin1, NM23, PTEN and RB could distinguish between the poorly differentiated and well differentiated GA. None of a single gene could obtain a valid distinction.
conclusionDifferent from the traditional point of view, the well differentiated cancer tissues have more alterations of important tumor-related genes than the poorly differentiated cancer tissues.
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