63 research outputs found

    Cancer Biomarker Discovery: The Entropic Hallmark

    Get PDF
    Background: It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high-throughput technologies that follow the gradual changes observed in the gene expression profiles by employing Shannon's mathematical theory of communication. Methods based on Information Theory can then quantify the divergence of cancer cells' transcriptional profiles from those of normally appearing cells of the originating tissues. The relevance of the proposed methods can be evaluated using microarray datasets available in the public domain but the method is in principle applicable to other high-throughput methods. Methodology/Principal Findings: Using melanoma and prostate cancer datasets we illustrate how it is possible to employ Shannon Entropy and the Jensen-Shannon divergence to trace the transcriptional changes progression of the disease. We establish how the variations of these two measures correlate with established biomarkers of cancer progression. The Information Theory measures allow us to identify novel biomarkers for both progressive and relatively more sudden transcriptional changes leading to malignant phenotypes. At the same time, the methodology was able to validate a large number of genes and processes that seem to be implicated in the progression of melanoma and prostate cancer. Conclusions/Significance: We thus present a quantitative guiding rule, a new unifying hallmark of cancer: the cancer cell's transcriptome changes lead to measurable observed transitions of Normalized Shannon Entropy values (as measured by high-throughput technologies). At the same time, tumor cells increment their divergence from the normal tissue profile increasing their disorder via creation of states that we might not directly measure. This unifying hallmark allows, via the the Jensen-Shannon divergence, to identify the arrow of time of the processes from the gene expression profiles, and helps to map the phenotypical and molecular hallmarks of specific cancer subtypes. The deep mathematical basis of the approach allows us to suggest that this principle is, hopefully, of general applicability for other diseases

    Transposon activation mutagenesis as a screening tool for identifying resistance to cancer therapeutics

    Get PDF
    Background: The development of resistance to chemotherapies represents a significant barrier to successful cancer treatment. Resistance mechanisms are complex, can involve diverse and often unexpected cellular processes, and can vary with both the underlying genetic lesion and the origin or type of tumor. For these reasons developing experimental strategies that could be used to understand, identify and predict mechanisms of resistance in different malignant cells would be a major advance. Methods: Here we describe a gain-of-function forward genetic approach for identifying mechanisms of resistance. This approach uses a modified piggyBac transposon to generate libraries of mutagenized cells, each containing transposon insertions that randomly activate nearby gene expression. Genes of interest are identified using next-gen high-throughput sequencing and barcode multiplexing is used to reduce experimental cost. Results: Using this approach we successfully identify genes involved in paclitaxel resistance in a variety of cancer cell lines, including the multidrug transporter ABCB1, a previously identified major paclitaxel resistance gene. Analysis of co-occurring transposons integration sites in single cell clone allows for the identification of genes that might act cooperatively to produce drug resistance a level of information not accessible using RNAi or ORF expression screening approaches. Conclusion: We have developed a powerful pipeline to systematically discover drug resistance in mammalian cells in vitro. This cost-effective approach can be readily applied to different cell lines, to identify canonical or context specific resistance mechanisms. Its ability to probe complex genetic context and non-coding genomic elements as well as cooperative resistance events makes it a good complement to RNAi or ORF expression based screens

    A re-evaluation of the role of antidepressants in the treatment of bipolar depression:data from the Stanley Foundation Bipolar Network

    No full text
    Objectives: The risk-to-benefit ratio of the use of unimodal antidepressants (ADs) as adjuncts to mood stabilizers continues to be an area of controversy and disagreement among experts in the field. This paper reviews new data on: (1) depression in bipolar illness, (2) switch rates on ADs and (3) risks of AD discontinuation that are pertinent to the ongoing discussion and recommendations. Methods: In the first study reviewed, 258 outpatients with bipolar illness were assessed prospectively on a daily basis using the National Institute of Mental Health-Life Chart Method(TM) (NIMH-LCM) for 1 year. In the second study, 127 bipolar depressed patients were randomized to 10 weeks of sertraline, bupropion, or venlafaxine, as adjuncts to mood stabilizers; non-responders were re-randomized and responders were offered a year of continuation treatment. In the final study, Altshuler et al. retrospectively and prospectively assessed the risk of depressive relapses in patients who remained on ADs after 2 months of euthymia compared with those who discontinued ADs. Results: Despite intensive naturalistic treatment, the 258 outpatients with bipolar illness followed prospectively for 1 year showed three times as many days depressed as days manic, re-emphasizing the considerable depressive morbidity that remains in bipolar disorder despite the number of treatment options available. In the study of bipolar depressed patients randomized to one of three ADs, a range of severities and durations of hypomanic to manic switches were discerned following 175 trials of AD augmentation of treatment with a mood stabilizer. Of the acute 10-week trials, 9.1% were associated with switches into hypomania or mania and another 9.1% with a week or more of hypomania alone (with no to minimal dysfunction). In 73 continuation phase AD trials, 16.4 and 19.2% were similarly associated with hypomanic to manic and hypomanic switches, respectively. In the Altshuler et al. studies, those who remained well on any AD for more than 2 months (only 15-20% of those initially treated) and who continued on ADs showed a lesser rate of relapse into depression over 1 year (35 and 36% in the first and second study, respectively) compared with those who discontinued their ADs (68 and 70% relapsing into depression). Surprisingly, this continuation of ADs was associated with no increase in the rate of switching into mania compared with those stopping ADs. Conclusions: These data reveal that depression and depressive cycling remain a substantial problem in some two-thirds of intensively treated bipolar outpatients. Acute AD augmentation was associated with a modest response rate and 18.2% switched into a hypomanic to manic episode, and 35.6% of the continuation trials showed these two types of switches. Two separate studies suggest that in the very small subgroup who remain well on ADs for at least 2 months, one should consider continuation of this AD augmentation treatment, because AD discontinuation appears associated with a substantially increased risk of depression relapse over the subsequent year with no reduced risk of switching into mania

    Preliminary observations on the effectiveness of levetiracetam in the open adjunctive treatment of refractory bipolar disorder

    No full text
    Objective: Levetiracetam is a recently approved, well-tolerated anticonvulsant with a unique mechanism of action yielding efficacy in treatment-refractory seizure disorders and positive effects in an animal model of mania. Given the effectiveness of a range of other anticonvulsants in bipolar disorder, we sought to evaluate levetiracetam in patients with treatment-resistant illness. Method: Thirty-four patients received 500 to 1000 mg of levetiracetam titrated to a target dose of 2000 mg/day (maximum dose = 3000 mg/day) as open, adjunctive treatment for clinically significant symptoms of depression (N = 13), mania (N = 7), or cycling (N = 14) despite ongoing treatment with mood stabilizers. Inventory for Depressive Symptomatology-Clinician version (IDS-C), Young Mania Rating Scale (YMRS), and Clinical Global Impressions scale for use in Bipolar Illness ratings were completed at each visit for 8 weeks, and partial responders were offered continuation treatment. Data were collected from July 2001 to December 2002. Results: Five of 16 (31%; 13 depressed, 3 cycling) patients with initial depressive symptoms met the criterion for remission (IDS-C score of: 13) at last observation. All of these patients were less severely ill at baseline, whereas none of those more severely depressed at baseline responded. The majority of the 16 patients (7 manic, 9 cycling) with manic symptoms at baseline showed improvement in the YMRS in the first 2 weeks. While 7 of the 16 (44%) patients met the criterion for manic response and remission at last observation, 4 showed intervening periods of moderate to marked exacerbation. Levetiracetam was weight neutral. Conclusion: Other pilot trials should explore possible areas of psychotropic action of levetiracetam prior to the conduct of more controlled clinical trials
    corecore