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pmid:28183295

Meta-analysis of gene expression in relapsed childhood B-acute lymphoblastic leukemia.

Yock-Ping Chow · Hamidah Alias · Rahman Jamal

BMC cancer · 2017 doi:10.1186/s12885-017-3103-1

Paper

complete

Experiment

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Data

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title
Meta-analysis of gene expression in relapsed childhood B-acute lymphoblastic leukemia.
doi
10.1186/s12885-017-3103-1
pmid
28183295
authors array · 3 items
[0]
Yock-Ping Chow
[1]
Hamidah Alias
[2]
Rahman Jamal
journal
BMC cancer
year
2017
abstract
BACKGROUND: Relapsed pediatric B-acute lymphoblastic leukemia (B-ALL) remains as the leading cause of cancer death among children. Other than stem cell transplantation and intensified chemotherapy, no other improved treatment strategies have been approved clinically. Gene expression profiling represents a powerful approach to identify potential biomarkers and new therapeutic targets for various diseases including leukemias. However, inadequate sample size in many individual experiments has failed to provide adequate study power to yield translatable findings. With the hope of getting new insights into the biological mechanisms underpinning relapsed ALL and identifying more promising biomarkers or therapeutic targets, we conducted a meta-analysis of gene expression studies involving ALL from 3 separate studies. METHOD: By using the keywords "acute lymphoblastic leukemia", and "microarray", a total of 280 and 275 microarray datasets were found listed in Gene Expression Omnibus database GEO and ArrayExpress database respectively. Further manual inspection found that only three studies (GSE18497, GSE28460, GSE3910) were focused on gene expression profiling of paired diagnosis-relapsed pediatric B-ALL. These three datasets which comprised of a total of 108 matched diagnosis-relapsed pediatric B-ALL samples were then included for this meta-analysis using RankProd approach. RESULTS: Our analysis identified a total of 1795 upregulated probes which corresponded to 1527 genes (pfp < 0.01; FC > 1), and 1493 downregulated probes which corresponded to 1214 genes (pfp < 0.01; FC < 1) respectively. S100A8 appeared as the top most overexpressed gene (pfp < 0.01, FC = 1.8) and is a potential target for further validation. Based on gene ontology biological process annotation, the upregulated genes were most enriched in cell cycle processes (enrichment score = 15.3), whilst the downregulated genes were clustered in transcription regulation (enrichment score = 12.6). Elevated expression of cell cycle regulators (e.g kinesins, AURKA, CDKs) was the key genetic defect implicated in relapsed ALL, and serve as attractive targets for therapeutic intervention. CONCLUSION: We identified S100A8 as the most overexpressed gene, and the cell cycle pathway as the most promising biomarker and therapeutic target for relapsed childhood B-ALL. The validity of the results warrants further investigation.
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Meta-analysis was performed on the three datasets using the RankProd package [14] to identify the upregulated and downregulated genes between relapsed ALL and matched samples at diagnosis. The microarray datasets used in this study are publicly available in Gene Expression Omnibus database GEO and ArrayExpress databases.
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Meta-analysis was performed on the three datasets using the RankProd package [14] to identify the upregulated and downregulated genes between relapsed ALL and matched samples at diagnosis.
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The microarray datasets used in this study are publicly available in Gene Expression Omnibus database GEO and ArrayExpress databases.
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All relevant data are within the paper. The microarray datasets used in this study are publicly available in Gene Expression Omnibus database GEO and ArrayExpress databases.
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The study used RankProd meta-analysis to combine three paired diagnosis–relapsed pediatric B-ALL microarray datasets obtained from GEO and ArrayExpress.
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By using the keywords “acute lymphoblastic leukemia”, and “microarray”, a total of 280 and 275 microarray datasets were found listed in Gene Expression Omnibus database GEO and ArrayExpress database respectively.
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These three datasets which comprised of a total of 108 matched diagnosis-relapsed pediatric B-ALL samples were then included for this meta-analysis using RankProd approach.
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The top 20 most significantly upregulated probes identified by RankProd in relapsed childhood ALL (pfp < 0.01; FC > 1), 1000 permutation
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The top 20 most significantly upregulated probes identified by RankProd in relapsed childhood ALL (pfp < 0.01; FC > 1), 1000 permutation
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The top 20 most significantly downregulated probes identified by RankProd in relapsed childhood ALL (pfp < 0.01; FC < 1), 1000 permutation
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Meta-analysis of differentially expressed probes
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The top 20 most significantly downregulated probes identified by RankProd in relapsed childhood ALL (pfp < 0.01; FC < 1), 1000 permutation
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Meta-analysis was performed on the three datasets using the RankProd package [14] to identify the upregulated and downregulated genes between relapsed ALL and matched samples at diagnosis. The microarray datasets used in this study are publicly available in Gene Expression Omnibus database GEO and ArrayExpress databases.
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eywords "acute lymphoblastic leukemia", and "microarray", a total of 280 and 275 microarray datasets
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a", and "microarray", a total of 280 and 275 microarray datasets were found listed in Gene Expressio
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Methods Meta-analysis of multiple microarray datasets Meta-analysis was performed on the
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:28183295", "kind": "science-record", "revision": 7, "content_hash": "sha256:6a6c41cf6eed6520071ac445d6ed3bb471e953b0503992728f4964206a6c29eb", "created_at": "2026-11-01T15:40:22Z", "updated_at": "2026-11-01T21:59:16Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Meta-analysis of gene expression in relapsed childhood B-acute lymphoblastic leukemia.", "doi": "10.1186/s12885-017-3103-1", "pmid": "28183295", "authors": ["Yock-Ping Chow", "Hamidah Alias", "Rahman Jamal"], "journal": "BMC cancer", "year": 2017, "abstract": "BACKGROUND: Relapsed pediatric B-acute lymphoblastic leukemia (B-ALL) remains as the leading cause of cancer death among children. Other than stem cell transplantation and intensified chemotherapy, no other improved treatment strategies have been approved clinically. Gene expression profiling represents a powerful approach to identify potential biomarkers and new therapeutic targets for various diseases including leukemias. However, inadequate sample size in many individual experiments has failed to provide adequate study power to yield translatable findings. With the hope of getting new insights into the biological mechanisms underpinning relapsed ALL and identifying more promising biomarkers or therapeutic targets, we conducted a meta-analysis of gene expression studies involving ALL from 3 separate studies.\nMETHOD: By using the keywords \"acute lymphoblastic leukemia\", and \"microarray\", a total of 280 and 275 microarray datasets were found listed in Gene Expression Omnibus database GEO and ArrayExpress database respectively. Further manual inspection found that only three studies (GSE18497, GSE28460, GSE3910) were focused on gene expression profiling of paired diagnosis-relapsed pediatric B-ALL. These three datasets which comprised of a total of 108 matched diagnosis-relapsed pediatric B-ALL samples were then included for this meta-analysis using RankProd approach.\nRESULTS: Our analysis identified a total of 1795 upregulated probes which corresponded to 1527 genes (pfp < 0.01; FC > 1), and 1493 downregulated probes which corresponded to 1214 genes (pfp < 0.01; FC < 1) respectively. S100A8 appeared as the top most overexpressed gene (pfp < 0.01, FC = 1.8) and is a potential target for further validation. Based on gene ontology biological process annotation, the upregulated genes were most enriched in cell cycle processes (enrichment score = 15.3), whilst the downregulated genes were clustered in transcription regulation (enrichment score = 12.6). Elevated expression of cell cycle regulators (e.g kinesins, AURKA, CDKs) was the key genetic defect implicated in relapsed ALL, and serve as attractive targets for therapeutic intervention.\nCONCLUSION: We identified S100A8 as the most overexpressed gene, and the cell cycle pathway as the most promising biomarker and therapeutic target for relapsed childhood B-ALL. The validity of the results warrants further investigation.", "claims": [{"id": "claim-method", "statement": "Meta-analysis was performed on the three datasets using the RankProd package [14] to identify the upregulated and downregulated genes between relapsed ALL and matched samples at diagnosis. 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