Up-regulation of pump (transporter) expression and selection of resistant cancer cells result in cancer multidrug resistance to diverse substrates of these transporters. While more than 48 members of the ATP binding cassette (ABC) transporter superfamily have been identified, up to now only three human ABC transporters-ABCB1, ABCC1, and ABCG2-have unambiguously been shown to contribute to cancer multidrug resistance. The use of low-toxicity and high-specificity agents as a targeted transporter inhibition strategy is necessary to effectively overcome multiple drug resistance. An objective of the present studies was to develop and validate HyperCyt (IntelliCyt, Albuquerque, NM) flow cytometry high-throughput screeening assays to assess the specificity of test compounds that inhibited transporters as an integral part of the screen. Two separate duplex assays were constructed: one in which ABCB1 and ABCG2 transporters were evaluated in parallel using fluorescent J-aggregate-forming lipophilic cation 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethylbenzimidazolcarbocyanine iodide as substrate, and the other in which ABCB1 and ABCC1 transporters were evaluated in parallel using fluorescent calcein acetoxymethyl ester as substrate. ABCB1-expressing cells were color-coded to allow their distinction from cells expressing the alternate transporter. The assays were validated in a screen of the Prestwick Chemical Library (Illkirch, France). Three novel selective inhibitors of the ABCC1 transporter were identified in the screen, and the activity of each was confirmed in follow-up chemosensitivity shift and reversal studies. This high-throughput screening assay provides an efficient approach for identifying selective inhibitors of individual ABC transporters, promising as probes of transporter function and therapeutic tools for treating chemotherapy-resistant cancers.

The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF IntroductionAcute lymphoblastic leukemia (ALL) is the most common form of cancer among children and young adults. Approximately 15% of patients express cellular and molecular features that are unique to T-lineage acute lymphoblastic leukemia (T-ALL). [1][2][3][4] Through the use of increasingly dose-intensive therapy, combined with an improved understanding of leukemic pathogenesis, disease-free survival for children with ALL has improved over the past 3 decades. 5 However, when matched for NCI-designated clinical risk features of age, initial white blood cell count, and evidence of extramedullary disease, patients with T-ALL are at an increased risk of relapse compared with children treated for precursor B-lineage acute lymphoblastic leukemia (B-ALL). 6 In addition, unlike many of the genetic biomarkers observed in patients with precursor B-ALL, the recurring karyotypic aberrations identified in T-ALL do not consistently correlate with outcome on modern treatment schemas. 2,7,8 For these reasons, the identification of prognostically relevant karyotypic and clinicopathologic abnormalities in T-ALL has been difficult to elucidate. The recent identification of T-ALL risk groups, as defined by minimal residual disease (MRD) status, 6,9,10 activating NOTCH1 mutations, 11-13 and response to induction therapy, 6,14,15 can be used to stratify treatment approaches. Nevertheless, the mechanisms of drug resistance that result in persistent disease and early treatment failure remain poorly understood.Gene expression microarrays are spotted with thousands of 25mer oligonucleotides, which correspond to transcripts of known and hypothetical genes within the human genome. By using microarrays for class discovery in hematopoietic malignancies, it has been possible to identify novel pathways in malignant transformation, 16,17 explore heterogeneities among study populations, 18-21 and segregate patients into prognostically relevant subsets. 18,22 While numerous genes and genetic signatures predicting disease course have been identified for patients with acute myelogenous leukemia, precursor B-ALL, and...

Summary Acquired drug resistance eventually leads to treatment failure in T‐cell acute lymphoblastic leukaemia (T‐ALL). Immunophenotypic and cytogenetic heterogeneities within T‐ALL influence susceptibility to cytotoxic therapy, and little is known about the mechanisms of drug resistance at specific stages of T‐cell ontogeny. We developed tolerance to therapeutic concentrations of daunorubicin (DNR) and l‐asparaginase (l‐asp) in Jurkat (CD1a−, sCD3+) and Sup T1 (CD1a+, sCD3−) cell lines, having respective ‘mature’ and ‘cortical’ stages of developmental arrest. DNR resistant cells acquired multidrug resistance: 310‐fold increased resistance to vincristine (VCR) and a 120‐fold increased resistance to prednisolone (PRED). Microarray analysis identified upregulation of asparagine synthetase (ASNS) and argininosuccinate synthase 1 (ASS1) to cell lines with acquired resistance to l‐asp, and in the case of DNR, upregulation of ATP‐binding cassette B1 (ABCB1). Suppression of ABCB1, ASNS and ASS1 by RNA interference revealed their functional relevance to acquired drug resistance. Expression profiling of these genes in 80 T‐ALL patients showed correlation with treatment response. This study expands the pool of available drug resistant cell lines having cortical and mature stages of developmental arrest, introduces three new drug resistant T‐ALL cell lines, and identifies gene interactions leading to l‐asp and DNR resistance.

The overexpression of P-glycoprotein, encoded by the ATP Binding Cassette B1 (ABCB1) gene, contributes to multidrug resistance (MDR) and is considered one of the major obstacles to successful cancer chemotherapy. The authors previously developed a T-lineage acute lymphoblastic leukemia (T-ALL) cell line that overexpresses ABCB1 and exhibits MDR to daunorubicin (DNR), prednisolone, and vincristine. Using this cell line and the fluorescent probe JC-1, they developed a flow cytometrybased, high-throughput screening (HTS) assay that quantifies ABCB1 efflux. They screened a library of 880 off-patent drugs for their ability to inhibit ABCB1 efflux and then measured the ability of 11 lead compounds to reverse in vitro DNR-mediated drug resistance and the toxic doses for each agent. Seven of the 11 drugs were able to reverse drug resistance at a concentration significantly below its toxic dose. Of the remaining 7, only 1 compound, mometasone furoate, has not been previously described as an ABCB1 antagonist to DNR-mediated drug resistance. On the basis of its high ABC modulator activity and relatively large in vitro therapeutic window, this drug warrants further investigation. In addition, the approach used in this study is useful for identifying off-patent drugs that may be repurposed for novel clinical indications. (Journal of Biomolecular Screening 2008:185-193)