Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Individual multidrug resistance patterns in AML patients point to the need for personalized molecular analysis

ABSTRACT: In this unique study, based on paired samples obtained at AML diagnosis and at relapse, we assessed 380 multidrug-resistance-related genes, using TaqMan-based qRT-PCR, as indicated by reports published over the past three decades. 11 paired AML samples taken at diagnosis and at relapse after treatment. Each patients act as its own control.

ORGANISM(S): Homo sapiens

SUBMITTER: jean-pierre gillet

PROVIDER: E-GEOD-33787 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Multidrug resistance in relapsed acute myeloid leukemia: evidence of biological heterogeneity.

Patel Chirayu C Stenke Leif L Varma Sudhir S Lindberg Marita Lagergren ML Björkholm Magnus M Sjöberg Jan J Viktorsson Kristina K Lewensohn Rolf R Landgren Ola O Gottesman Michael M MM Gillet Jean-Pierre JP

Cancer 20130514 16

<h4>Background</h4>Studies of mechanisms mediating resistance to chemotherapy led to the discovery of the multidrug transporter ABCB1 (ATP-binding cassette, subfamily B, member 1), often expressed in leukemic cells of patients with acute myeloid leukemia (AML). Most clinical trials evaluating the strategy of inhibiting efflux-mediated chemotherapeutic resistance have been unsuccessful, clearly indicating the need for a better approach.<h4>Methods</h4>This study investigated the clinical relevanc ...[more]

PMID: 23674237

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Project description:We undertook a comprehensive clinical and biological investigation of serial medulloblastoma biopsies obtained at diagnosis and relapse. Combined MYC gene family amplifications and P53 pathway defects commonly emerged at relapse, and all patients in this molecular group died of rapidly progressive disease post-relapse. To study this genetic interaction, we investigated a transgenic model of MYCN-driven medulloblastoma and found spontaneous development of Trp53 inactivating mutations. Abrogation of Trp53 function in this model produced aggressive tumors that mimicked the characteristics of relapsed human tumors with combined P53–MYC dysfunction. Restoration of p53 activity, genetic and therapeutic suppression of MYCN all reduced tumor growth and prolonged survival. Our findings identify P53–MYC interactions which emerge at medulloblastoma relapse as biomarkers of clinically aggressive disease that may be targeted therapeutically. There are currently no effective therapies for children with relapsed medulloblastoma. While clinical and biological features of the disease at diagnosis are increasingly well understood, biopsy is rarely performed at relapse and few biological data are available to guide more effective treatments. Here, we show that medulloblastomas develop altered biology at relapse which is predictive of disease course and cannot be detected at diagnosis. We have discovered the emergence of P53–MYC interactions at relapse, as biomarkers of clinically aggressive relapsed disease, which can be modelled and targeted therapeutically in genetically-engineered mice. These data provide clear precedent for the incorporation of biopsy at relapse into routine clinical practice, to direct palliative care and the development of improved treatment strategies. mouse model expression profiles from various mouse Medulloblastoma models MYCN/MYC overexpressing with/without p53 Mutations were compared to human MB expression profiles using Non-negative Matrix Factorization projection in order to sub-type the mouse models

Project description:The presence of tumor cells in effusions within serosal cavities is a clinical manifestation of advanced-stage cancer and is generally associated with poor survival. Identifying molecular targets may help to design efficient treatments to eradicate these aggressive cancer cells and improve patient survival. Using a state-of-the-art Taqman-based qRT-PCR assay, we investigated the multidrug resistance (MDR) transcriptome of 32 unpaired ovarian serous carcinoma effusion samples obtained at diagnosis or at disease recurrence following chemotherapy. MDR genes were selected a priori based on an extensive curation of the literature published during the last three decades. We found three gene signatures with a statistically significant correlation with overall survival (OS), response to treatment (complete response - CR vs. other), and progression free survival (PFS). The median log-rank p-values for the signatures were 0.023, 0.034, and 0.008, respectively. No correlation was found with residual tumor status after cytoreductive surgery, treatment (with or without chemotherapy) and stage defined according to the International Federation of Gynecology and Obstetrics. Further analyses demonstrated that gene expression alone can effectively predict the survival outcome of women with ovarian serous carcinoma (OS: log-rank p=0.0000 and PFS: log-rank p=0.002). Interestingly, the signature for overall survival is the same in patients at first presentation and those who had chemotherapy and relapsed. This pilot study highlights two new gene signatures that may help in optimizing the treatment for ovarian carcinoma patients with effusions. In the study presented here, effusion samples were obtained from 32 patients diagnosed with serous ovarian carcinoma (n=25), primary peritoneal serous carcinoma (n=6) or tubal serous carcinoma (n=1). They were accrued at the Division of Pathology in the Norwegian Radium Hospital from 2000-2006. RNA was used to study the expression profile of 381 multidrug resistant-related genes.

Dataset Information

Individual multidrug resistance patterns in AML patients point to the need for personalized molecular analysis

Publications

Multidrug resistance in relapsed acute myeloid leukemia: evidence of biological heterogeneity.

Similar Datasets

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