Evidence map›Paper›PMID 27566557›Full record

ArticleOncotarget2016

Candidate germline polymorphisms of genes belonging to the pathways of four drugs used in osteosarcoma standard chemotherapy associated with risk, survival and toxicity in non-metastatic high-grade osteosarcoma.

Claudia M Hattinger, Paola Biason, Erika Iacoboni, Sara Gagno, Marilù Fanelli, Elisa Tavanti, Serena Vella, Stefano Ferrari, Andrea Roli, Rossana Roncato and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Claudia M HattingerLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Paola BiasonNational Institute of Health and Medical Research (INSERM), Unity 892, University of Medicine of Angers, Angers, France.
Erika IacoboniLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Sara GagnoExperimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, Italy.
Marilù FanelliLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Elisa TavantiLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Serena VellaLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Stefano FerrariChemotherapy Ward of Muscoloskeletal Tumours, Orthopaedic Rizzoli Institute, Bologna, Italy.
Andrea RoliDepartment of Computer Science and Engineering (DISI), University of Bologna, Cesena, Italy.
Rossana RoncatoExperimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, Italy.
Luciana GiodiniExperimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, Italy.
Katia ScotlandiLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Piero PicciLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Giuseppe ToffoliExperimental and Clinical Pharmacology Unit, National Cancer Institute, Aviano, Italy.
Massimo SerraLaboratory of Experimental Oncology, Orthopaedic Rizzoli Institute, Bologna, Italy.
Istituto Ortopedico Rizzoli · ITUniversité d'Angers · FRUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify associations between germline polymorphisms and risk of high-grade osteosarcoma (HGOS) development, event-free survival (EFS) and toxicity in HGOS patients treated with neo-adjuvant chemotherapy and surgery.Germline polymorphisms of 31 genes known to be relevant for transport or metabolism of all four drugs used in HGOS chemotherapy (methotrexate, doxorubicin, cisplatin and ifosfamide) were genotyped in 196 patients with HGOS and in 470 healthy age and gender-matched controls. Of these 196 HGOS patients, a homogeneously treated group of 126 patients was considered for survival analyses (survival cohort). For 57 of these, treatment-related toxicity data were available (toxicity cohort).Eleven polymorphisms were associated with increased risk of developing HGOS (p < 0.05). The distribution of polymorphisms in patients was characterized by a higher Shannon entropy. In the survival cohort (n = 126, median follow-up = 126 months), genotypes of ABCC2_1249A/G, GGH_452T/C, TP53_IVS2+38G/C and CYP2B6*6 were associated with EFS (p < 0.05). In the toxicity cohort (n = 57), genotypes of ABCB1_1236T/C, ABCC2_1249A/G, ABCC2_3972A/G, ERCC1_8092T/G, XPD_23591A/G, XRCC3_18067T/C, MTHFR_1298A/C and GGH_16T/C were associated with elevated risk for toxicity development (p < 0.05).The results obtained in this retrospective study indicate that the aforementioned germline polymorphisms significantly impact on the risk of HGOS development, EFS and the occurrence of chemotherapy-related toxicity. These findings should be prospectively validated with the aim of optimizing and tailoring HGOS treatment in the near future.

Indexed as

Polymorphism, GeneticAdolescentAdultAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBone NeoplasmsCase-Control StudiesChildCisplatinCohort StudiesDisease-Free SurvivalDoxorubicinFemalegamma-Glutamyl HydrolaseGenotypeHumansABCC2 protein, humanBiomarkers, TumorCisplatinDoxorubicingamma-Glutamyl HydrolaseIfosfamideMethotrexateMultidrug Resistance-Associated Protein 2drug response biomarkersgermline polymorphismsosteosarcomapersonalized medicinetoxicity

Identifiers

PMID27566557
PMCPMC5308704
OpenAlexW2514211188

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.