| Literature DB >> 27007055 |
Corey A Carter1, Karen Zeman2, Regina M Day3, Patrick Richard3, Arnold Oronsky4, Neil Oronsky5, Michelle Lybeck6, Jan Scicinski6, Bryan Oronsky6.
Abstract
Like Chinese boxes nesting inside each other, the classification of non-small cell lung cancer (NSCLC) is subdivided into smaller and smaller subtypes on the basis of histological and molecular attributes. The latter characterizes NSCLC by its molecular alterations and the identification of inhibitors that target these cancer-specific "driver" mutations. Despite the initial promise of precision-guided therapies to inhibit a finer and finer array of molecular subcategories, despite even the curative potential of immunotherapeutic checkpoint blockade, in particular, casualties still abound and true clinical success stories are few and far between; the ever-present, if sometimes unmentioned, "elephant in the room", is the acquisition of resistance, which, sooner or later, rears its ugly head to undermine treatment success and shorten survival. Emerging data suggests that epigenetic therapies are able to reprogram the aberrant tumor-associated epigenome and 'tame the beast of resistance', thereby prolonging survival. This article reviews the role of epigenetic dysregulation in NSCLC, explores PFS2 as a possible surrogate endpoint, briefly mentions possible biomarkers and highlights combinatorial treatment epigenetic strategies to "prime" tumors and reverse resistance.Entities:
Keywords: epigenetics; non small cell lung cancer; oncology; resistance
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Year: 2016 PMID: 27007055 PMCID: PMC5130044 DOI: 10.18632/oncotarget.8205
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1NSCLC therapeutic management algorithm (maintenance therapy not included)
Figure 2A. Treatment Spillover Effect. The effects of each regimen are not confined to the individual line of treatment but spillover and influence subsequent lines of treatment either positively in the case of sensitizing agents or negatively in the case of agents lead to lingering toxicity or that select for resistant clones. PFS does not capture the “spillover effect” while PFS2 does. B.Illustration of PFS2, which measures the time from randomization to the time of progression on next line therapy.
Figure 3The majority of CpG islands in normal tissue are unmethylated
In contrast, CpG island hypermethylation has been described in almost every tumor type and is an important mechanism for transcriptional silencing especially of tumor suppressor genes.