ArticleCancer cell international2018
Integrated whole genome microarray analysis and immunohistochemical assay identifies COL11A1, GJB2 and CTRL as predictive biomarkers for pancreatic cancer.
Article in Cancer cell international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 42 citations in OpenAlex.
- A novel method for detecting nine hotspot mutations of deafness genes in one tube.Scientific reports · 2024Article
- Recognition and combination of multiple cell-death features showed good predictive value in lung adenocarcinoma.Heliyon · 2023Article
- COL10A1 promotes tumorigenesis by modulating CD276 in pancreatic adenocarcinoma.BMC gastroenterology · 2023Article
- In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.Clinical and experimental medicine · 2023Article
- Substrate specificity of human chymotrypsin-like protease (CTRL) characterized by phage display-selected small-protein inhibitors.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2023Article
- Investigation of key signaling pathways and appropriate diagnostic biomarkers selection between non-invasive to invasive stages in pancreatic cancer: a computational observation.Journal of medicine and life · 2022Article
- Identification and prognostic analysis of biomarkers to predict the progression of pancreatic cancer patients.Molecular medicine (Cambridge, Mass.) · 2022Article
- Gene losses in the common vampire bat illuminate molecular adaptations to blood feeding.Science advances · 2022Article
- COL11A1-Driven Epithelial-Mesenchymal Transition and Stemness of Pancreatic Cancer Cells Induce Cell Migration and Invasion by Modulating the AKT/GSK-3β/Snail Pathway.Biomolecules · 2022Article
- The prognostic value and biological significance of gap junction beta protein 2 (GJB2 or Cx26) in cervical cancer.Frontiers in oncology · 2022Article
- A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma.British journal of cancer · 2021Article
- Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.Bioscience reports · 2021Article
- Collagen XI alpha 1 chain, a potential therapeutic target for cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021Review
- Comprehensive Analysis and Identification of an Immune-Related Gene Signature with Prognostic Value for Prostate Cancer.International journal of general medicine · 2021Article
- Reciprocal Interplay Between Fibrillar Collagens and Collagen-Binding Integrins: Implications in Cancer Progression and Metastasis.Frontiers in oncology · 2020Review
- Dysregulation of pseudogene/lncRNA-hsa-miR-363-3p-SPOCK2 pathway fuels stage progression of ovarian cancer.Aging · 2019Article
- Integrated transcriptomic analysis reveals hub genes involved in diagnosis and prognosis of pancreatic cancer.Molecular medicine (Cambridge, Mass.) · 2019Article
- Identification of RE1-Silencing Transcription Factor as a Promoter of Metastasis in Pancreatic Cancer.Frontiers in oncology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer is characterized by its unsatisfying early detection rate, rapid disease progression and poor prognosis. Further studies on molecular mechanism and novel predictive biomarkers for pancreatic cancer based on a large sample volume are required.
methodsMultiple bioinformatic analysis tools were utilized for identification and characterization of differentially expressed genes (DEGs) from a merged microarray data (100 pancreatic cancer samples and 62 normal samples). Data from the GEO and TCGA database was utilized to validate the diagnostic and prognostic value of the top 5 upregulated/downregulated DEGs. Immunohistochemical assay (46 paired pancreatic and para- cancerous samples) was utilized to validate the expression and prognostic value of COL11A1, GJB2 and CTRL from the identified DEGs.
resultsA total number of 300 DEGs were identified from the merged microarray data of 100 pancreatic cancer samples and 62 normal samples. These DEGs were closely correlated with the biological characteristics of pancreatic cancer. The top 5 upregulated/downregulated DEGs showed good individual diagnostic/prognostic value and better combined diagnostic/prognostic value. Validation of COL11A1, GJB2 and CTRL with immunohistochemical assay showed consistent expression level with bioinformatics analysis and promising prognostic value.
conclusionsMerged microarray data with bigger sample volume could reflect the biological characteristics of pancreatic cancer more effectively and accurately. COL11A1, GJB2 and CTRL are novel predictive biomarkers for pancreatic cancer.
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