ArticleJournal of gastrointestinal oncology2021
Prognosis model of colorectal cancer patients based on
Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Mutations in CREBBP and EP300 HAT and Bromo Domains Drive Hypermutation and Predict Survival in GI Cancers Treated with Immunotherapy.Biomedicines · 2025Article
- The modification role and tumor association with a methyltransferase: KMT2C.Frontiers in immunology · 2024Review
- Identifying survival of pan-cancer patients under immunotherapy using genomic mutation signature with large sample cohorts.Journal of molecular medicine (Berlin, Germany) · 2024Article
- Circulating tumour DNA alterations: emerging biomarker in head and neck squamous cell carcinoma.Journal of biomedical science · 2023Review
- Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.Journal of translational medicine · 2023Article
- Notch3 signaling promotes colorectal tumor growth by enhancing immunosuppressive cells infiltration in the microenvironment.BMC cancer · 2023Article
- Prognostic significance of Notch3 immunoreactivity patterns in Caucasian colon adenocarcinoma patients.Przeglad gastroenterologiczny · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is one of the most common cancers. The aim of our study was to explore its related mutations, identify novel mutation markers, and construct predictive models for postoperative CRC patients, so as to provide evidence for the diagnosis, treatment, and prognosis of CRC.
methodsA total 50 CRC patients were collected, and the mutations in tissue samples were detected through next-generation sequencing (NGS). Meanwhile, 246 CRC cases with complete mutation data were downloaded from The Cancer Genome Atlas (TCGA) database. Afterwards, the co-mutations in both clinical and TCGA cohorts were identified, and the high-frequency mutation genes were selected. Subsequently, functional enrichment analysis was performed, and overall survival (OS) and progression-free survival (PFS) predictive models were constructed.
resultsIn all, 18 out of 238 co-mutation genes mutated in at least 20% of the samples and were selected out as common high-frequency mutation genes. They were significantly enriched in 460 Gene Ontology (GO) terms and 87 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (P<0.05), which were closely related to the occurrence and development of CRC. Among the 18 genes,
conclusions
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What OpenQuestion holds
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.