ArticleOncology reports2018
Role of COL6A3 in colorectal cancer.
Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 58 citations in OpenAlex.
- Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer.Molecular oncology · 2026Article
- Splicing isoforms associated with TGFβ-induced myofibroblast activation.BMC molecular and cell biology · 2026Article
- The recurrence or metastasis related gene predicts the prognosis of extremity and trunk soft tissue sarcoma.Precision clinical medicine · 2025Article
- The Role ofCancers · 2025Review
- Single-cell analysis reveals a longitudinal trajectory of meningioma evolution and heterogeneity.Nature communications · 2025Article
- Label-free quantitative proteomics of gastric high-grade intraepithelial neoplasia.Experimental and therapeutic medicine · 2025Article
- Tumor budding and poorly differentiated clusters as a biological continuum in colorectal cancer invasion and prognosis.Scientific reports · 2025Article
- Developing a multiomics data-based mathematical model to predict colorectal cancer recurrence and metastasis.BMC medical informatics and decision making · 2025Article
- Single nucleotide polymorphisms in ovarian cancer impacting lipid metabolism and prognosis: an integrated TCGA database analysis.BMC cancer · 2025Article
- 3D genome landscape of primary and metastatic colorectal carcinoma reveals the regulatory mechanism of tumorigenic and metastatic gene expression.Communications biology · 2025Article
- Enhancing immune response and survival in hepatocellular carcinoma with novel oncolytic Jurona virus and immune checkpoint blockade.Molecular therapy. Oncology · 2024Article
- Molecular markers predicting the progression and prognosis of human papillomavirus-induced cervical lesions to cervical cancer.Journal of cancer research and clinical oncology · 2023Review
- The Novel RXR Agonist MSU-42011 Differentially Regulates Gene Expression in Mammary Tumors of MMTV-Neu Mice.International journal of molecular sciences · 2023Article
- Article
- Review
- Reference Module-Based Analysis of Ovarian Cancer Transcriptome Identifies Important Modules and Potential Drugs.Biochemical genetics · 2022Article
- Article
- The Estrogen Receptor α Signaling Pathway Controls Alternative Splicing in the Absence of Ligands in Breast Cancer Cells.Cancers · 2021Article
- Molecular Alterations in Meningioangiomatosis Causing Epilepsy.Journal of neuropathology and experimental neurology · 2021Article
- Identifying the tumor-progressive gene expression profile in high-risk papillary thyroid cancer.Surgery today · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Public transcriptome databases provide a valuable resource for genome‑wide co‑expression network analysis and investigation of the molecular mechanisms that underlie pathogenesis. To discover genes that may affect patient survival, a large‑scale analysis of human colorectal cancer (CRC) datasets that were retrieved from the NCBI Gene Expression Omnibus was performed. A gene co‑expression network was constructed using weighted gene co‑expression network analysis (WGCNA). A total of 18 co‑expressed gene modules were identified, of which two genes corresponded to cell migration and the cell cycle, two genes were involved in immune responses, two genes corresponded to mitochondrial function, and one gene corresponded to RNA splicing. A total of eight hub genes in the cell migration/extracellular matrix module were associated with poor prognosis in CRC, and the P‑value for collagen type VI α3 chain (COL6A3) was the lowest. In silico analysis of cell type‑specific gene expression and COL6A3 knockout experiments indicated the clinical relevance of COL6A3 in the development of CRC. In summary, the present analysis provides a basis for understanding the molecular characterization of CRC at the transcription level. COL6A3 may be a promising biomarker or target for the prognosis and treatment of CRC.
Indexed as
Identifiers
What Socratic 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 Socratic graph.