ArticleScientific reports2019
Radiogenomics-based cancer prognosis in colorectal cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Cell Membrane Vesicles Encapsulating Il24 mRNA With Enriched CD6 Display Exhibit Enhanced Targeted Antitumor Efficacy.Journal of extracellular vesicles · 2026Article
- Image Analysis as tool for Predicting Colorectal Cancer Molecular Alterations: A Scoping Review.Molecular imaging and radionuclide therapy · 2025Article
- Transforming growth factor-β (TGF-β) signaling pathway-related genes in predicting the prognosis of colon cancer and guiding immunotherapy.Cancer pathogenesis and therapy · 2024Article
- Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Predicting cervical lymph node metastasis in OSCC based on computed tomography imaging genomics.Cancer medicine · 2023Article
- Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases.Insights into imaging · 2023Article
- CT radiomic predictors of local relapse after SBRT for lung oligometastases from colorectal cancer: a single institute pilot study.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Article
- Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy.Biomarker research · 2023Article
- Predicting outcomes for locally advanced rectal cancer treated with neoadjuvant chemoradiation with CT-based radiomics.Scientific reports · 2022Article
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- Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer.Cancer research and treatment · 2022Article
- Coupling radiomics analysis of CT image with diversification of tumor ecosystem: A new insight to overall survival in stage IChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022Article
- Article
- Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study.European radiology · 2022Article
- Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer.European radiology · 2022Article
- Radiomics-Guided Precision Medicine Approaches for Colorectal Cancer.Frontiers in oncology · 2022Review
- Computed tomography-based radiomic model predicts radiological response following stereotactic body radiation therapy in early-stage non-small-cell lung cancer and pulmonary oligo-metastases.Radiation oncology journal · 2021Article
- The Clinical and Theranostic Values of Activated Leukocyte Cell Adhesion Molecule (ALCAM)/CD166 in Human Solid Cancers.Cancers · 2021Review
- Article
- Radiogenomics in Colorectal Cancer.Cancers · 2021Review
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Radiogenomics aims at investigating the relationship between imaging radiomic features and gene expression alterations. This study addressed the potential prognostic complementary value of contrast enhanced computed tomography (CE-CT) radiomic features and gene expression data in primary colorectal cancers (CRC). Sixty-four patients underwent CT scans and radiomic features were extracted from the delineated tumor volume. Gene expression analysis of a small set of genes, previously identified as relevant for CRC, was conducted on surgical samples from the same tumors. The relationships between radiomic and gene expression data was assessed using the Kruskal-Wallis test. Multiple testing was not performed, as this was a pilot study. Cox regression was used to identify variables related to overall survival (OS) and progression free survival (PFS). ABCC2 gene expression was correlated with N (p = 0.016) and M stages (p = 0.022). Expression changes of ABCC2, CD166, CDKNV1 and INHBB genes exhibited significant correlations with some radiomic features. OS was associated with Ratio 3D Surface/volume (p = 0.022) and ALDH1A1 expression (p = 0.042), whereas clinical stage (p = 0.004), ABCC2 expression (p = 0.035), and Entropy
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