ArticleInternational journal of clinical and experimental pathology2015
Genetic polymorphisms in nucleotide excision repair pathway influences response to chemotherapy and overall survival in osteosarcoma.
Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.
What it found
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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
13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Pooled it
- Association of ERCC gene polymorphism with osteosarcoma risk.African health sciences · 2020Pooled it
- Pooled it
- Genetic polymorphisms in ERCC1 and ERCC2 genes are associated with response to chemotherapy in osteosarcoma patients among Chinese population: a meta-analysis.World journal of surgical oncology · 2017Pooled it
- Advancements in Osteosarcoma Therapy: Overcoming Chemotherapy Resistance and Exploring Novel Pharmacological Strategies.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Article
- Pharmacogenomic Profiling of Cisplatin-Resistant and -Sensitive Human Osteosarcoma Cell Lines by Multimodal Targeted Next Generation Sequencing.International journal of molecular sciences · 2022Article
- Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact.International journal of molecular sciences · 2020Review
- Article
- Article
- Association between common polymorphisms inOncoTargets and therapy · 2018Article
- Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis.Oncotarget · 2017Review
- The pharmacogenomics of osteosarcoma.The pharmacogenomics journal · 2017Review
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We analyzed the role of genetic polymorphisms of six important NER pathway genes in response to chemotherapy and clinical outcome of osteosarcoma patients. A prospective study including 172 osteosarcoma patients was conducted between January 2009 and January 2011. The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used for ERCC1 rs11615 and rs2298881, ERCC2 rs13181 and rs1799793, ERCC4 rs1800067, ERCC5 rs1047768, XPA 1800975, and XPC rs2228000 and rs2228001 gene polymorphisms. By logistic regression analysis, TT genotype of ERCC1 rs11615 genetic polymorphism was significant correlated with poor response to chemotherapy when compared with wide-type genotype (OR=0.27, 95% CI=0.10-0.71). AC and CC genotype of ERCC1 rs2298881 were significantly associated with poor response to chemotherapy when compared with AA genotype (For AC genotype, OR=0.45, 95% CI=0.21-0.97; for CC genotype, OR=0.19, 95% CI=0.06-0.58). By Cox proportional hazards regression analysis, TT genotype of ERCC1 rs11615 and CC genotype of ERCC1 rs2298881 suffered a 3.16 and 3.57-fold increased hazards of death (For ERCC1 rs11615, HR=3.16, 95% CI=1.19-9.16; for ERCC1 rs2298881, HR=3.57, 95% CI=1.10-11.35). In conclusion, our findings suggest that ERCC1 rs11615 and ERCC1 rs2298881 genetic polymorphisms are significantly associated with poor response to chemotherapy and unfavourable survival of osteosarcoma.
Indexed as
Identifiers
26339355PMC4555683W1428497523What 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.