Accession | PRJCA005253 | ||||||||||||||||||||
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Title | A Robust Glycogene-based Prognostic Signature for Proficient Mismatch Repair type of Colorectal Adenocarcinoma | ||||||||||||||||||||
Relevance | Medical | ||||||||||||||||||||
Data types | Transcriptome or Gene expression | ||||||||||||||||||||
Organisms | Homo sapiens | ||||||||||||||||||||
Description | Proficient mismatch repair (pMMR) type of colorectal adenocarcinoma (CRAC) tend to metastasize than the MMR-deficient CRAC patients. A prognostic biomarker for pMMR CRAC patients is preferred in clinical practice. However, traditional biomarker screened directly from sequencing are often not robust and thus cannot be widely applied. Methods: To circumvent the drawbacks of blind screening, we established a new strategy to identify prognostic biomarker in conserved and specific oncogenic pathway and its regulatory RNA network. The pathway is more conserved than individual genes, thus providing robustness. We performed RNA-seq on mRNA, lncRNA, miRNA and circRNA for six pMMR CRAC patients and constructed a glycosylation-related RNA regulatory network. Biomarkers were selected based on the network and the correlation to the clinicopathologic information and were validated in larger cohorts in multiple centers (n=775). Results: We constructed a ceRNA regulatory network from RNA-seq. Genes in glycosylation pathways participated in this scale-free network. Moreover, we further developed and validated a seven-glycogene prognosis signature GlycoSig (B3GNT6, GALNT3, GALNT8, ALG8, STT3B, SRD5A3, and ALG6) that prognose poor-prognostic subtype for pMMR CRAC patients. This biomarker set was validated in multi-center datasets, exhibiting its robustness and wide applicability. And we constructed a simple-to-use nomogram that integrated the risk score of GlycoSig and clinicopathological features for pMMR CRAC patients.Conclusions: The seven-glycogene signature served as a novel and robust prognostic biomarker set for pMMR CRAC, highlighting the role of dysregulated glycosylation network in poor prognosis. | ||||||||||||||||||||
Sample scope | Multiisolate | ||||||||||||||||||||
Release date | 2021-05-24 | ||||||||||||||||||||
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Submitter | Dehua Lee (dehuali@stu2019.jnu.edu.cn) | ||||||||||||||||||||
Organization | The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital | ||||||||||||||||||||
Submission date | 2021-05-24 |
Resource name | Description |
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BioSample (24) show | - |