ArticleWorld journal of clinical cases2020
Identification of key genes and pathways in gastric signet ring cell carcinoma based on transcriptome analysis.
Article in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Development and validation of a nomogram for predicting survival in gastric signet ring cell carcinoma patients treated with radiotherapy.Scientific reports · 2024Article
- Deciphering cellular and molecular mechanism of MUC13 mucin involved in cancer cell plasticity and drug resistance.Cancer metastasis reviews · 2024Review
- Signet ring cell cancer of stomach and gastro-esophageal junction: molecular alterations, stage-stratified treatment approaches, and future challenges.Langenbeck's archives of surgery · 2022Review
- Is there still a place for conventional histopathology in the age of molecular medicine? Laurén classification, inflammatory infiltration and other current topics in gastric cancer diagnosis and prognosis.Histology and histopathology · 2021Review
- Transcriptome Analysis and the Prognostic Role of NUDC in Diffuse and Intestinal Gastric Cancer.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric signet ring cell carcinoma (GSRCC) is one of the most malignant tumors. It has the features of high invasiveness, rapid progression, and resistance to chemotherapy. However, systematic analyses of mRNAs have not yet been performed for GSRCC.
aimTo identify key mRNAs and signaling pathways in GSRCC.
methodsA transcriptome analysis of two GSRCC and two non-GSRCC samples was performed in this study. Differentially expressed mRNAs and pathways were identified based on the KEGG and PANTHER pathway annotations. The interactive relationships among the differential genes were mapped with the STRING database. Quantitative real-time polymerase chain reaction was used to validate the key gene expression in GSRCC.
resultsAbout 1162 differential genes (using a 2-fold cutoff,
conclusionWe have identified the potential key genes and pathways in GSRCC, and these hub genes and pathways could be diagnostic markers and therapeutic targets for GSRCC.
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