ArticlePloS one2015
Association between GWAS-identified genetic variations and disease prognosis for patients with colorectal cancer.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Colorectal Cancer Risk Loci: Prognostic Factors for Clinical Outcomes? A Systematic Review and Meta-Analysis.Cancer reports (Hoboken, N.J.) · 2025Pooled it
- Genetic mechanism of β-alanine metabolic pathway affecting colorectal cancer prognosis.BMC gastroenterology · 2025Article
- Novel genetic loci and functional properties of immune-related genes for colorectal cancer survival in Korea.BMC cancer · 2025Article
- Whole-exome sequencing reveals novel genomic signatures and potential therapeutic targets during the progression of rectal neuroendocrine neoplasm.Cell death & disease · 2024Article
- Bottom-Up Approach to the Discovery of Clinically Relevant Biomarker Genes: The Case of Colorectal Cancer.Cancers · 2022Article
- A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer.Molecular oncology · 2021Article
- Critical Analysis of Genome-Wide Association Studies: Triple Negative Breast CancerInternational journal of molecular sciences · 2020Review
- Rhophilin-2 Upregulates Glutamine Synthetase by Stabilizing c-Myc Protein and Confers Resistance to Glutamine Deprivation in Lung Cancer.Frontiers in oncology · 2020Article
- Combining CDKN1A gene expression and genome-wide SNPs in a twin cohort to gain insight into the heritability of individual radiosensitivity.Functional & integrative genomics · 2019Article
- Subtype-specific associations between breast cancer risk polymorphisms and the survival of early-stage breast cancer.Journal of translational medicine · 2018Article
- Genome-wide scan of the effect of common nsSNPs on colorectal cancer survival outcome.British journal of cancer · 2018Article
- Colorectal Cancer-Associated Genes Are Associated with Tooth Agenesis and May Have a Role in Tooth Development.Scientific reports · 2018Article
- Pediatric Germ Cell Tumors: A Developmental Perspective.Advances in urology · 2018Review
- Evaluation of genetic variants in association with colorectal cancer risk and survival in Asians.International journal of cancer · 2017Article
- Single Nucleotide Polymorphisms in GenesRadiology and oncology · 2017Article
- 2017 update on the relationship between diabetes and colorectal cancer: epidemiology, potential molecular mechanisms and therapeutic implications.Oncotarget · 2017Review
- Genome-wide association studies and epigenome-wide association studies go together in cancer control.Future oncology (London, England) · 2016Article
- Combined analysis of pri-miR-34b/c rs4938723 and TP53 Arg72Pro with cervical cancer risk.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Identification of a shared protective genetic susceptibility locus for colorectal cancer and gastric cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWASs) have already identified at least 22 common susceptibility loci associated with an increased risk of colorectal cancer (CRC). This study examined the relationship between these single nucleotide polymorphisms (SNPs) and the clinical outcomes of patients with colorectal cancer. Seven hundred seventy-six patients with surgically resected colorectal adenocarcinoma were enrolled in the present study. Twenty-two of the GWAS-identified SNPs were genotyped using a Sequenom MassARRAY. Among the 22 SNPs, two (rs1321311G>T in CDKN1A and rs10411210C>T in RHPN2) were significantly associated with the survival outcomes of CRC in a multivariate survival analysis. In a recessive model, the rs1321311 TT genotype (vs. GG + GT) and rs10411210 TT genotype (vs. CC + CT) were associated with a worse prognosis for disease-free survival (adjusted HR = 1.90; 95% confidence interval = 1.00-3.60; P = 0.050, adjusted HR = 1.94; 95% confidence interval = 1.05-3.57; P = 0.034, respectively) and overall survival (adjusted HR = 2.05; 95% confidence interval = 1.00-4.20; P = 0.049, adjusted HR = 2.06; 95% confidence interval = 1.05-4.05; P = 0.036, respectively). None of the other SNPs was significantly associated with any clinicopathologic features or survival. The present results suggest that the genetic variants of the CDKN1A (rs1321311) and RHPN2 (rs10411210) genes can be used as prognostic biomarkers for patients with surgically resected colorectal cancer.
Indexed as
Identifiers
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.