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Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients
INTRODUCTION: Gene expression profile of mitochondrial-related genes is not well deciphered in pediatric acute myeloid leukaemia (AML). We aimed to identify mitochondria-related differentially expressed genes (DEGs) in pediatric AML with their prognostic significance. METHODS: Children with de novo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947241/ https://www.ncbi.nlm.nih.gov/pubmed/36845715 http://dx.doi.org/10.3389/fonc.2023.1109518 |
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author | Chaudhary, Shilpi Ganguly, Shuvadeep Palanichamy, Jayanth Kumar Singh, Archna Pradhan, Dibyabhaba Bakhshi, Radhika Chopra, Anita Bakhshi, Sameer |
author_facet | Chaudhary, Shilpi Ganguly, Shuvadeep Palanichamy, Jayanth Kumar Singh, Archna Pradhan, Dibyabhaba Bakhshi, Radhika Chopra, Anita Bakhshi, Sameer |
author_sort | Chaudhary, Shilpi |
collection | PubMed |
description | INTRODUCTION: Gene expression profile of mitochondrial-related genes is not well deciphered in pediatric acute myeloid leukaemia (AML). We aimed to identify mitochondria-related differentially expressed genes (DEGs) in pediatric AML with their prognostic significance. METHODS: Children with de novo AML were included prospectively between July 2016-December 2019. Transcriptomic profiling was done for a subset of samples, stratified by mtDNA copy number. Top mitochondria-related DEGs were identified and validated by real-time PCR. A prognostic gene signature risk score was formulated using DEGs independently predictive of overall survival (OS) in multivariable analysis. Predictive ability of the risk score was estimated along with external validation in The Tumor Genome Atlas (TCGA) AML dataset. RESULTS: In 143 children with AML, twenty mitochondria-related DEGs were selected for validation, of which 16 were found to be significantly dysregulated. Upregulation of SDHC (p<0.001), CLIC1 (p=0.013) and downregulation of SLC25A29 (p<0.001) were independently predictive of inferior OS, and included for developing prognostic risk score. The risk score model was independently predictive of survival over and above ELN risk categorization (Harrell’s c-index: 0.675). High-risk patients (risk score above median) had significantly inferior OS (p<0.001) and event free survival (p<0.001); they were associated with poor-risk cytogenetics (p=0.021), ELN intermediate/poor risk group (p=0.016), absence of RUNX1-RUNX1T1 (p=0.027), and not attaining remission (p=0.016). On external validation, the risk score also predicted OS (p=0.019) in TCGA dataset. DISCUSSION: We identified and validated mitochondria-related DEGs with prognostic impact in pediatric AML and also developed a novel 3-gene based externally validated gene signature predictive of survival. |
format | Online Article Text |
id | pubmed-9947241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99472412023-02-24 Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients Chaudhary, Shilpi Ganguly, Shuvadeep Palanichamy, Jayanth Kumar Singh, Archna Pradhan, Dibyabhaba Bakhshi, Radhika Chopra, Anita Bakhshi, Sameer Front Oncol Oncology INTRODUCTION: Gene expression profile of mitochondrial-related genes is not well deciphered in pediatric acute myeloid leukaemia (AML). We aimed to identify mitochondria-related differentially expressed genes (DEGs) in pediatric AML with their prognostic significance. METHODS: Children with de novo AML were included prospectively between July 2016-December 2019. Transcriptomic profiling was done for a subset of samples, stratified by mtDNA copy number. Top mitochondria-related DEGs were identified and validated by real-time PCR. A prognostic gene signature risk score was formulated using DEGs independently predictive of overall survival (OS) in multivariable analysis. Predictive ability of the risk score was estimated along with external validation in The Tumor Genome Atlas (TCGA) AML dataset. RESULTS: In 143 children with AML, twenty mitochondria-related DEGs were selected for validation, of which 16 were found to be significantly dysregulated. Upregulation of SDHC (p<0.001), CLIC1 (p=0.013) and downregulation of SLC25A29 (p<0.001) were independently predictive of inferior OS, and included for developing prognostic risk score. The risk score model was independently predictive of survival over and above ELN risk categorization (Harrell’s c-index: 0.675). High-risk patients (risk score above median) had significantly inferior OS (p<0.001) and event free survival (p<0.001); they were associated with poor-risk cytogenetics (p=0.021), ELN intermediate/poor risk group (p=0.016), absence of RUNX1-RUNX1T1 (p=0.027), and not attaining remission (p=0.016). On external validation, the risk score also predicted OS (p=0.019) in TCGA dataset. DISCUSSION: We identified and validated mitochondria-related DEGs with prognostic impact in pediatric AML and also developed a novel 3-gene based externally validated gene signature predictive of survival. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9947241/ /pubmed/36845715 http://dx.doi.org/10.3389/fonc.2023.1109518 Text en Copyright © 2023 Chaudhary, Ganguly, Palanichamy, Singh, Pradhan, Bakhshi, Chopra and Bakhshi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Chaudhary, Shilpi Ganguly, Shuvadeep Palanichamy, Jayanth Kumar Singh, Archna Pradhan, Dibyabhaba Bakhshi, Radhika Chopra, Anita Bakhshi, Sameer Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
title | Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
title_full | Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
title_fullStr | Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
title_full_unstemmed | Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
title_short | Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
title_sort | mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947241/ https://www.ncbi.nlm.nih.gov/pubmed/36845715 http://dx.doi.org/10.3389/fonc.2023.1109518 |
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