ArticleAmerican journal of cancer research2015
Genetic polymorphisms in apoptosis-related genes and the prognosis of hepatocellular carcinoma.
Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Pooled it
- Association of Genetic Variants at theInternational journal of molecular sciences · 2024Article
- NAPSB as a predictive marker for prognosis and therapy associated with an immuno-hot tumor microenvironment in hepatocellular carcinoma.BMC gastroenterology · 2022Article
- A prognostic model for hepatocellular carcinoma based on apoptosis-related genes.World journal of surgical oncology · 2021Article
- Comprehensive Analysis Revealed thatFrontiers in cell and developmental biology · 2021Article
- Single nucleotide polymorphisms in piRNA-pathway genes: an insight into genetic determinants of human diseases.Molecular genetics and genomics : MGG · 2020Review
- Overexpression of LGR-5 as a Predictor of Poor Outcome in Patients with Hepatocellular Carcinoma.International journal of environmental research and public health · 2019Article
- Overexpression of epithelial cell adhesion molecule as a predictor of poor outcome in patients with hepatocellular carcinoma.Experimental and therapeutic medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The apoptotic pathway is important in the control of vital processes of hepatocellular carcinoma (HCC). In the current study, we aimed to determine whether apoptotic gene-related polymorphisms modified HCC prognosis. We genotyped 16 single nucleotide polymorphisms (SNPs) in 10 core genes (TP53, TP53INP1, TP53BP1, CDKN2A, CDKN1A, CDKN1B, MDM2, BAX, CCDN1 and BCL2) in the apoptotic pathway by using DNA from blood samples of 362 HCC patients receiving surgical resection of HCC tumor. The associations between genotypes/haplotypes of the 10 genes and overall survival (OS) of HCC patients were assessed using the Cox proportional hazards model. We found one CDKN1B haplotype CCT/ACT (constructed by rs36228499 C>A, rs34330 C>T and rs2066827 T>G) significantly associated with decreased OS of HCC patients, compared to the common haplotype ACT/CTT both in univariate analysis (P=0.013, HR=1.198, 95% CI: 1.039-1.381) and multivariate analysis (P=0.006, HR=1.224, 95% CI: 1.059-1.413). We also find two SNPs (rs560191 G>C and rs2602141 T>G) in TP53BP1 shown to be marginally significantly associated with decreased OS of HCC patients. However, none of the other SNPs or haplotypes were significantly associated with HCC OS. Our results illustrated the potential use of CDKN1B haplotype as a prognostic marker for HCC patients with surgical resection of tumor.
Indexed as
Identifiers
26693075PMC4656746W2397178810What 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.