Antagonism of p66shc by melanoma inhibitory activity

BAG3 Mediated Down-regulation in Expression of p66shc has Ramifications on Cellular Proliferation, Apoptosis and Metastasis

Redundancy of cancer cells towards ROS-mediated apoptosis despite expressing proline-rich p66shc abundantly needs to be investigated properly. P66shc, an adapter protein, is indispensable both for initiating ROS-mediated apoptosis and subsequent ROS generation through Rac-1 activation. P66shc gets phosphorylated at Ser-36 that triggers its translocation to the mitochondria and subsequent release of Cytochrome c in response to oxidative stress. It also aids in Rac-1 dependent NADPH oxidase activation, leading to the generation of cytosolic ROS that can perform diverse functions depending on its concentration. This study has identified the multi-faceted anti-apoptotic protein BAG3 as an interacting partner of p66shc. BAG3 utilizes its WW domain to bind to the proline-rich motifs of p66shc. BAG3, through its WW domain, antagonizes p66shc mediated apoptosis, by inhibiting both the expression and phosphorylation of p66shc under normal and oxidative stress conditions. This results in significant protection against ROS-mediated apoptosis. BAG3-mediated reduction in p66shc expression increases cell proliferation and metastasis. The increase in cell proliferation is attributed to the impact of BAG3 on Rac-1 activation and ROS production under normal conditions. This study has unraveled an interactor of p66shc that enhances pro-survival role while simultaneously suppressing its apoptotic role.

The oxidoreductase p66Shc acts as tumor suppressor in BRAFV600E-transformed cells

Metabolic reprogramming, as exemplified by the shift from oxidative phosphorylation to glycolysis, is a common feature of transformed cells. In many tumors, altered metabolism is also reflected in increased reactive oxygen species (ROS) levels, which contribute to proliferation and survival signaling. However, despite high ROS levels, cancer cells can be efficiently killed by further increasing ROS production. We have shown previously that both wild‐type and oncogenic CRAF and BRAF prevent excessive mitochondrial ROS production. Subsequently, it has been demonstrated that raising ROS levels in BRAFV600E‐transformed melanoma cells by inhibiting BRAF or MEK rendered them susceptible to cell death induction. To understand how oncogenic BRAF affects mitochondrial ROS production in melanoma, we studied the mitochondrial ROS‐producing oxidoreductase p66Shc, which is frequently overexpressed in tumors. Using NIH 3T3 BRAFV600E fibroblasts and the melanoma cell lines A375 and M238 carrying the same BRAF mutation, we show that under treatment with the ROS‐inducing agent phenethyl isothiocyanate (PEITC), oncogenic BRAF renders cells refractory to p66ShcS36 phosphorylation, which is essential for p66Shc activation and mitochondrial ROS production. Consistent with this, the activation of JNK1/2, which phosphorylate S36, was blunted, while other mitogen‐activated protein kinases were not affected. Inhibition of JNK1/2 efficiently prevented ROS production, while BRAF and MEK inhibitors increased ROS levels. Vemurafenib‐resistant M238R melanoma cells were impaired in S36 phosphorylation and ROS production following PEITC treatment. Moreover, they failed to increase ROS levels after MEK/BRAF inhibition. Finally, shRNA‐mediated knockdown of p66Shc led to increased growth of BRAFV600E‐transformed NIH 3T3 cells in soft agar assay. Taken together, these data suggest that phosphorylation‐activated p66Shc functions as a tumor suppressor in melanoma cells.

Insights into the Shc Family of Adaptor Proteins

The Shc family of adaptor proteins is a group of proteins that lacks intrinsic enzymatic activity. Instead, Shc proteins possess various domains that allow them to recruit different signalling molecules. Shc proteins help to transduce an extracellular signal into an intracellular signal, which is then translated into a biological response. The Shc family of adaptor proteins share the same structural topography, CH2-PTB-CH1-SH2, which is more than an isoform of Shc family proteins; this structure, which includes multiple domains, allows for the posttranslational modification of Shc proteins and increases the functional diversity of Shc proteins. The deregulation of Shc proteins has been linked to different disease conditions, including cancer and Alzheimer’s, which indicates their key roles in cellular functions. Accordingly, a question might arise as to whether Shc proteins could be targeted therapeutically to correct their disturbance. To answer this question, thorough knowledge must be acquired; herein, we aim to shed light on the Shc family of adaptor proteins to understand their intracellular role in normal and disease states, which later might be applied to connote mechanisms to reverse the disease state.

The interplay between p66Shc, reactive oxygen species and cancer cell metabolism

The adaptor protein p66Shc links membrane receptors to intracellular signalling pathways and has the potential to respond to energy status changes and regulate mitogenic signalling. Initially reported to mediate growth signals in normal and cancer cells, p66Shc has also been recognized as a pro-apoptotic protein involved in the cellular response to oxidative stress. Moreover, it is a key element in processes such as cancer cell proliferation, tumor progression, metastasis and metabolic reprogramming. Recent findings on the role of p66Shc in the above-mentioned processes have been obtained through the use of various tumor cell types, including prostate, breast, ovarian, lung, colon, skin and thyroid cancer cells. Interestingly, the impact of p66Shc on the proliferation rate was mainly observed in prostate tumors, while its impact on metastasis was mainly found in breast cancers. In this review, we summarize the current knowledge about the possible roles of p66Shc in different cancers.

Phosphorylation of p66shc mediates 6-hydroxydopamine cytotoxicity

6-Hydroxydopamine (6-OHDA) is a neurotoxin that has been widely used to generate Parkinson's disease (PD) models. Increased oxidative stress is suggested to play an important role in 6-OHDA-induced cell death. Given the lessened susceptibility to oxidative stress exhibited by mice lacking p66shc, this study investigated the role of p66shc in the cytotoxicity of 6-OHDA. 6-OHDA induced cell death and p66shc phosphorylation at Ser36 in SH-SY5Y cells. Pre-treatment with the protein kinase C β (PKCβ) inhibitor hispidin suppressed 6-OHDA-induced p66shc phosphorylation. Elimination of H(2)O(2) by catalase reduced cell death and p66shc phosphorylation induced by 6-OHDA. Cells deficient in p66shc were more resistant to 6-OHDA-induced cell death than wild-type cells. Furthermore, reconstitution of wild-type p66shc, but not the S36A mutant, in p66shc-deficient cells increased susceptibility to 6-OHDA. These results indicate that H(2)O(2) derived from 6-OHDA is an important mediator of cell death and p66shc phosphorylation induced by 6-OHDA and that p66shc phosphorylation at Ser36 is indispensable for the cytotoxicity of 6-OHDA.

Cancer biomarker discovery: the entropic hallmark

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-througput 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.