Evidence map›Paper›PMID 32215805›Full record

ArticleInternational journal of clinical oncology2020

The efficacy and safety of Apatinib mesylate in the treatment of metastatic osteosarcoma patients who progressed after standard therapy and the VEGFR2 gene polymorphism analysis.

Jia-Yong Liu, Bao-Rang Zhu, Yu-Dong Wang, Xin Sun

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Article in International journal of clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Jia-Yong Liu *Department of Bone and Soft Tissue Tumor, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, 100142, P. R. China. liujiayong_doc@163.com.
Bao-Rang Zhu *Department of Tumor Minimally Invasive Treatment, The Fifth Medical Centre, Chinese PLA General Hospital (Former 307th Hospital of the PLA), Beijing, 100071, P. R. China.
Yu-Dong WangDepartment of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, P. R. China.
Xin SunDepartment of Orthopedic Oncology, Peking University People's Hospital, Beijing, 100044, P. R. China. xinsun1981@hotmail.com.
Chinese PLA General Hospital · CNFourth Hospital of Hebei Medical University · CNPeking University · CNPeking University Cancer Hospital · CN

Funding

The Natural Science Foundation of China 81702657
6 · The paper itself

Abstract

objectiveThe aim of this study was to investigate the efficacy and safety of Apatinib mesylate in the treatment of metastatic osteosarcoma patients who progressed after standard therapy and the VEGFR2 gene polymorphism analysis.

methodsDesigned as a retrospective study, a total of 105 metastatic osteosarcoma patients who progressed after standard therapy were included in this study. The metastatic osteosarcoma patients received 500-750 mg Apatinib mesylate according to body surface area until disease progression or unacceptable toxicity with 28 days one cycle. Overall response was evaluated after two cycles Apatinib treatment, then progression-free survival (PFS) and overall survival (OS) were evaluated, and safety data were recorded. Additionally. peripheral blood and peripheral blood mononuclear cell (PBMC) specimens in the osteosarcoma patients were collected for the genotyping of VEGFR2 genetic variation and mRNA expression, respectively. Analysis on the association between genotype and baseline characteristics and VEGFR2 gene mRNA expression was analyzed. The univariate analysis of genotypes and prognosis was carried out by Kaplan-Meier survival analysis, and multivariate analysis was adjusted by Cox regression analysis.

resultsThe objective response rate (ORR) of the 105 metastatic osteosarcoma patients was 37.14%, disease control rate (DCR) was 77.14%, median PFS was 4.1 months, and median OS was 9.0 months. Regarding the VEGFR2 gene polymorphisms analysis, only - 906 T > C was of clinical significance. The prevalence of - 906 T > C in VEGFR2 among the study population was as follows: TT genotype 62 cases (59.05%), TC genotype 36 cases (34.29%) and CC genotype 7 cases (6.66%), minor allele frequency of - 906 T > C was 0.24. Compared with patients with TC/CC genotype, patients with TT genotype showed longer median PFS (5.0 versus 3.1 months, P = 0.011) and median OS (9.8 versus 7.6 months, P = 0.032). There was no correlation between the polymorphism and adverse reactions. Additionally, the mRNA expression in 69 randomly selected sample indicated that the mRNA expression of VEGFR2 of the patients with CC/TC genotypes were significantly higher than those of the TT genotype patients (P < 0.001).

conclusionApatinib was safe and effective in the treatment of metastatic osteosarcoma patients who progressed after standard therapy. The clinical outcomes of Apatinib may be influenced by the polymorphism - 906 T > C of VEGFR2 through mediating the mRNA expression of VEGFR2.

Indexed as

Polymorphism, GeneticAdolescentAdultAntineoplastic AgentsBone NeoplasmsFemaleGene Expression Regulation, NeoplasticGene FrequencyGenotypeHumansKaplan-Meier EstimateLeukocytes, MononuclearMaleMiddle AgedOsteosarcomaPyridinesAntineoplastic AgentsapatinibKDR protein, humanPyridinesVascular Endothelial Growth Factor Receptor-2Apatinib mesylateEfficacyMetastasis osteosarcomaPolymorphismSafetyVascular endothelial growth factor receptor 2

Identifiers

PMID32215805
OpenAlexW3013695659

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.