Editor’s inaugural issue foreword: perspectives on translational and clinical research

Heger, Michal

doi:10.18053/jctres.201501.005

Cited by 4 publications

(5 citation statements)

References 44 publications

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“…Interestingly, not only HIF-1 inhibition, but also topoisomerase I/II inhibition by ACF may further contribute to increased PDT efficacy. In vivo studies as addressed in [ 65 ] are necessary to validate the potential of ACF in combination with PDT.…”

Section: Discussionmentioning

confidence: 99%

Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

et al. 2015

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Background: Photodynamic therapy (PDT) induces tumor cell death by oxidative stress and hypoxia but also survival signaling through activation of hypoxia-inducible factor 1 (HIF-1). Since perihilar cholangiocarcinomas are relatively recalcitrant to PDT, the aims were to (1) determine the expression levels of HIF-1-associated proteins in human perihilar cholangiocarcinomas, (2) investigate the role of HIF-1 in PDT-treated human perihilar cholangiocarcinoma cells, and (3) determine whether HIF-1 inhibition reduces survival signaling and enhances PDT efficacy.Results: Increased expression of VEGF, CD105, CD31/Ki-67, and GLUT-1 was confirmed in human perihilar cholangiocarcinomas. PDT with liposome-delivered zinc phthalocyanine caused HIF-1α stabilization in SK-ChA-1 cells and increased transcription of HIF-1α downstream genes. Acriflavine was taken up by SK-ChA-1 cells and translocated to the nucleus under hypoxic conditions. Importantly, pretreatment of SK-ChA-1 cells with acriflavine enhanced PDT efficacy via inhibition of HIF-1 and topoisomerases I and II.Methods: The expression of VEGF, CD105, CD31/Ki-67, and GLUT-1 was determined by immunohistochemistry in human perihilar cholangiocarcinomas. In addition, the response of human perihilar cholangiocarcinoma (SK-ChA-1) cells to PDT with liposome-delivered zinc phthalocyanine was investigated under both normoxic and hypoxic conditions. Acriflavine, a HIF-1α/HIF-1β dimerization inhibitor and a potential dual topoisomerase I/II inhibitor, was evaluated for its adjuvant effect on PDT efficacy.Conclusions: HIF-1, which is activated in human hilar cholangiocarcinomas, contributes to tumor cell survival following PDT in vitro. Combining PDT with acriflavine pretreatment improves PDT efficacy in cultured cells and therefore warrants further preclinical validation for therapy-recalcitrant perihilar cholangiocarcinomas.

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Section: Discussionmentioning

confidence: 99%

Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

et al. 2015

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“…Finally, negative results can be particularly informative when derived from large datasets. Much has been written about the importance of publishing null findings and how the literature can be skewed by not doing so 76,77,78,79,80,81…”

Section: Reproducible Inferencementioning

confidence: 99%

A Hitchhiker’s Guide to Working with Large, Open-Source Neuroimaging Datasets

Horien¹,

Noble²,

Greene³

et al. 2020

Preprint

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Large datasets that enable researchers to perform investigations with unprecedented rigor are growing increasingly common in neuroimaging. Due to the simultaneous increasing popularity of open science, these state-of-the-art datasets are more accessible than ever to researchers around the world. While analysis of these samples has pushed the field forward, they pose a new set of challenges that might cause difficulties for novice users. Here, we offer practical tips for working with large datasets from the end-user’s perspective. We cover all aspects of the data life cycle: from what to consider when downloading and storing the data, to tips on how to become acquainted with a dataset one did not collect, to what to share when communicating results. This manuscript serves as a practical guide one can use when working with large neuroimaging datasets, thus dissolving barriers to scientific discovery.

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“…In a clinical context, this "skew" may have serious ethical implications for the protection of patient health and well-being. As the editor-in-chief of this journal notes, "selective publication [of] trials can skew the apparent risk-benefit ratio of the drug towards the latter and generate an unrealistic bias, thereby potentially slanting the accuracy of evidence-based medicine" [32].…”

mentioning

confidence: 99%

“…Against this backdrop, where does the Journal of Clinical and Translational Research (JCTR) stand? In the founding editorial for this journal, the editor states that JCTR encourages the publication of negative results for two main reasons in addition to counteracting the "skewing" problem already mentioned [32]:…”

mentioning

confidence: 99%

The need for reporting negative results - a 90 year update

Earp

2017

J Clin Transl Res

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Editor’s inaugural issue foreword: perspectives on translational and clinical research

Cited by 4 publications

References 44 publications

Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

A Hitchhiker’s Guide to Working with Large, Open-Source Neuroimaging Datasets

The need for reporting negative results - a 90 year update

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Editor’s inaugural issue foreword: perspectives on translational and clinical research

Cited by 4 publications

References 44 publications

Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

A Hitchhiker&rsquo;s Guide to Working with Large, Open-Source Neuroimaging Datasets

The need for reporting negative results - a 90 year update

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Product

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A Hitchhiker’s Guide to Working with Large, Open-Source Neuroimaging Datasets