Dataset Information

Intracranial Hemorrhage Following Oral Low-Dose Methotrexate After Multiple Toxicities Caused by High-Dose Methotrexate in Childhood Acute Lymphoblastic Leukemia.

ABSTRACT: An 11-year-old male patient with the deletion of IKZF1 (Ikaros family zinc finger 1) and positive Breakpoint Cluster Region-C-Abelson oncogene 1(BCR-ABL1) acute lymphoblastic leukemia developed mucositis, gastrointestinal toxicity, hepatotoxicity, myelosuppression, and severe dermatologic toxicity during the first and second courses of high-dose methotrexate. The patient recovered completely after therapy. However, intracranial hemorrhage (ICH) occurred following oral methotrexate at a dose of 25 mg/m² in maintenance treatment, and he had neurological sequelae including hemiplegic paralysis.

SUBMITTER: Xin N

PROVIDER: S-EPMC6761274 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

Intracranial Hemorrhage Following Oral Low-Dose Methotrexate After Multiple Toxicities Caused by High-Dose Methotrexate in Childhood Acute Lymphoblastic Leukemia.

Xin Ning N Fen Zhou Z Li Cheng C Yan Xiao X Runming Jin J

Frontiers in pharmacology 20190919

An 11-year-old male patient with the deletion of <i>IKZF1</i> (Ikaros family zinc finger 1) and positive Breakpoint Cluster Region-C-Abelson oncogene 1(<i>BCR-ABL1</i>) acute lymphoblastic leukemia developed mucositis, gastrointestinal toxicity, hepatotoxicity, myelosuppression, and severe dermatologic toxicity during the first and second courses of high-dose methotrexate. The patient recovered completely after therapy. However, intracranial hemorrhage (ICH) occurred following oral methotrexate ...[more]

PMID: 31607921

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Project description:ObjectivesIt is well known that transporter and enzyme genes could be regulated by microRNA (miRNA) at the post-transcriptional level, and single-nucleotide polymorphisms (SNPs) in miRNA, which are involved in the miRNA production and structure, may impact the miRNA expression level and then influence drug transport and metabolism. In this study, we aim to evaluate the association between miRNA polymorphisms and high-dose methotrexate (HD-MTX) hematological toxicities in Chinese pediatric patients with acute lymphoblastic leukemia (ALL).MethodA total of 181 children with ALL were administered with 654 evaluable cycles of HD-MTX. Their hematological toxicities were evaluated according to the National Cancer Institute Common Terminology Criteria for Adverse Events v5. The association between 15 candidate SNPs of miRNA and hematological toxicities (leukopenia, anemia, and thrombocytopenia) was analyzed using Fisher's exact test. Further multiple backward logistic regression analysis was used to explore the independent risk factors for grade 3/4 hematological toxicities.ResultRs2114358 G>A in pre-hsa-miR-1206 was related to HD-MTX-related grade 3/4 leukopenia after multiple logistic regression [GA + AA vs. GG: odds ratio (OR): 2.308, 95% CI: 1.219-4.372, P = 0.010], and rs56103835 T > C in pre-hsa-mir-323b was associated with HD-MTX-related grade 3/4 anemia (TT + TC vs. CC: OR: 0.360, 95% CI: 0.239-0.541, P = 0.000); none of the SNPs were significantly associated with grade 3/4 thrombocytopenia. Bioinformatics tools predicted that rs2114358 G>A and rs56103835 T>C would impact the secondary structure of pre-miR-1206 and pre-miR-323b, respectively, and then probably influence the expression level of mature miRNAs and their target genes.ConclusionRs2114358 G>A and rs56103835 T>C polymorphism may potentially influence HD-MTX-related hematological toxicities, which may serve as candidate clinical biomarkers to predict grade 3/4 hematological toxicities in pediatric patients with ALL.

Dataset Information

Intracranial Hemorrhage Following Oral Low-Dose Methotrexate After Multiple Toxicities Caused by High-Dose Methotrexate in Childhood Acute Lymphoblastic Leukemia.

Publications

Intracranial Hemorrhage Following Oral Low-Dose Methotrexate After Multiple Toxicities Caused by High-Dose Methotrexate in Childhood Acute Lymphoblastic Leukemia.

Similar Datasets

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