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Oncotarget. 2018 Jul 13;9(54):30385-30418. doi: 10.18632/oncotarget.25752. eCollection 2018 Jul 13.

Differential genomics and transcriptomics between tyrosine kinase inhibitor-sensitive and -resistant BCR-ABL-dependent chronic myeloid leukemia.

Oncotarget

Neetu Singh, Anil Kumar Tripathi, Dinesh Kumar Sahu, Archana Mishra, Margaret Linan, Bianca Argente, Julia Varkey, Niranjan Parida, Rebecca Chowdhry, Hari Shyam, Nawazish Alam, Shivani Dixit, Pratap Shankar, Abhishek Mishra, Avinash Agarwal, Chris Yoo, Madan Lal Brahma Bhatt, Ravi Kant

Affiliations

  1. Molecular Biology Unit, Center for Advance Research, King George's Medical University, Lucknow, India.
  2. Department of Clinical Hematology, King George's Medical University, Lucknow, India.
  3. Department of Cardio Thoracic and Vascular Surgery, King George's Medical University, Lucknow, India.
  4. Systems Imagination, Scottsdale, Arizona, USA.
  5. Department of Periodontics, King George's Medical University, Lucknow, India.
  6. Department of Medicine, King George's Medical University, Lucknow, India.
  7. Department of Radiotherapy, King George's Medical University, Lucknow, India.
  8. All India Institute of Medical Sciences, Rishikesh, India.

PMID: 30100996 PMCID: PMC6084383 DOI: 10.18632/oncotarget.25752

Abstract

Previously, it has been stated that the BCR-ABL fusion-protein is sufficient to induce Chronic Myeloid Leukemia (CML), but additional genomic-changes are required for disease progression. Hence, we profiled control and tyrosine kinase inhibitors (TKI) alone or in combination with other drug-treated CML-samples in different phases, categorized as drug-sensitive and drug-resistant on the basis of BCR-ABL transcripts, the marker of major molecular-response. Molecular-profiling was done using the molecular-inversion probe-based-array, Human Transcriptomics-Array2.0, and Axiom-Biobank genotyping-arrays. At the transcript-level, clusters of control, TKI-resistant and TKI-sensitive cases were correlated with BCR-ABL transcript-levels. Both at the gene- and exon-levels, up-regulation of MPO, TPX2, and TYMS and down-regulation of STAT6, FOS, TGFBR2, and ITK lead up-regulation of the cell-cycle, DNA-replication, DNA-repair pathways and down-regulation of the immune-system, chemokine- and interleukin-signaling, TCR, TGF beta and MAPK signaling pathways. A comparison between TKI-sensitive and TKI-resistant cases revealed up-regulation of LAPTM4B, HLTF, PIEZO2, CFH, CD109, ANGPT1 in CML-resistant cases, leading to up-regulation of autophagy-, protein-ubiquitination-, stem-cell-, complement-, TGFβ- and homeostasis-pathways with specific involvement of the Tie2 and Basigin signaling-pathway. Dysregulated pathways were accompanied with low CNVs in CP-new and CP-UT-TKI-sensitive-cases with undetectable BCR-ABL-copies. High CNVs (previously reported gain of 9q34) were observed in BCR-ABL-independent and -dependent TKI, non-sensitive-CP-UT/AP-UT/B-UT and B-new samples. Further, genotyping CML-CP-UT cases with BCR-ABL 0-to-77.02%-copies, the identified, rsID239798 and rsID9475077, were associated with FAM83B, a candidate for therapeutic resistance. The presence of BCR-ABL, additional genetic-events, dysregulated-signaling-pathways and rsIDs associated with FAM83B in TKI-resistant-cases can be used to develop a signature-profile that may help in monitoring therapy.

Keywords: axiom biobank array; chronic myeloid leukemia; human-transcriptome array 2.0; molecular-inversion-probe based array; tyrosine kinase inhibitors

Conflict of interest statement

CONFLICTS OF INTEREST The authors also declare no conflicts of interest.

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