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The ability to adapt to low-nutrient microenvironments is essential for tumor cell survival and progression in solid cancers, such as colorectal carcinoma (CRC). Signaling by the NF-[kappa]B transcription factor pathway associates with advanced disease stages and shorter survival in patients with CRC. NF-[kappa]B has been shown to drive tumor-promoting inflammation, cancer cell survival, and intestinal epithelial cell (IEC) dedifferentiation in mouse models of CRC. However, whether NF-[kappa]B affects the metabolic adaptations that fuel aggressive disease in patients with CRC is unknown. Here, we identified carboxylesterase 1 (CES1) as an essential NF-[kappa]B-regulated lipase linking obesity-associated inflammation with fat metabolism and adaptation to energy stress in aggressive CRC. CES1 promoted CRC cell survival via cell-autonomous mechanisms that fuel fatty acid oxidation (FAO) and prevent the toxic build-up of triacylglycerols. We found that elevated CES1 expression correlated with worse outcomes in overweight patients with CRC. Accordingly, NF-[kappa]B drove CES1 expression in CRC consensus molecular subtype 4 (CMS4), which is associated with obesity, stemness, and inflammation. CES1 was also upregulated by gene amplifications of its transcriptional regulator HNF4A in CMS2 tumors, reinforcing its clinical relevance as a driver of CRC. This subtype-based distribution and unfavorable prognostic correlation distinguished CES1 from other intracellular triacylglycerol lipases and suggest CES1 could provide a route to treat aggressive CRC., Introduction Tumor cells must adapt to the low nutrient concentrations in the tumor microenvironment (TME) in order to survive, proliferate, and spread to distant sites (1-4). The availability of nutrients, [...]

The article focuses on the efficiency of the nuclear factor (NF)-ΚB pathway in the treatment of multiple myeloma (MM). It talks about the pathway treatment strategy despite being efficient has not yet been approved in the pharmaceutical industry due to the associated toxicities. It tells about alternative agents like the immunomodulatory drugs and proteasome inhibitors are unable to specifically target the cancer cells in the body.

GADD45 β /MKK7 complex is a non-redundant, cancer cell-restricted survival module downstream of the NF-kB survival pathway, and it has a pathogenically critical role in multiple myeloma, an incurable malignancy of plasma cells. The first-in-class GADD45 β /MKK7 inhibitor DTP3 effectively kills MM cells expressing its molecular target, both in vitro and in vivo, by inducing MKK7/JNK-dependent apoptosis with no apparent toxicity to normal cells. DTP3 combines favorable drug-like properties, with on-target-specific pharmacology, resulting in a safe and cancer-selective therapeutic effect; however, its mode of action is only partially understood. In this work, we have investigated the molecular determinants underlying the MKK7 interaction with DTP3 by combining computational, NMR, and spectroscopic methods. Data gathered by fluorescence quenching and computational approaches consistently indicate that the N-terminal region of MKK7 is the optimal binding site explored by DTP3. These findings further the understanding of the selective mode of action of GADD45 β /MKK7 inhibitors and inform potential mechanisms of drug resistance. Notably, upon validation of the safety and efficacy of DTP3 in human trials, our results could also facilitate the development of novel DTP3-like therapeutics with improved bioavailability or the capacity to bypass drug resistance. [ABSTRACT FROM AUTHOR]

Peptides are emerging as an increasingly dependable class of therapeutics in the treatment of cancer and metabolic and cardiovascular diseases, which are all areas of high interest to the pharmaceutical industry. The global market for peptide therapeutics was valued at about 25 billion USD in 2018 and is estimated to reach 57.2 billion USD by the end of 2027. Here, we describe a method for the screening and deconvolution of combinatorial peptide libraries to discover compounds that target discrete signaling components of the NF-κB pathway. Recently, we used this approach to specifically disrupt the interaction between the JNK-activating kinase, MKK7, and the NF-κB-regulated antiapoptotic factor, GADD45β, in multiple myeloma (MM). We showed that the GADD45β/MKK7 complex is a functionally critical survival module downstream of NF-κB in MM cells and as such provides an attractive therapeutic target to selectively inhibit NF-κB antiapoptotic signaling in cancer cells. By integrating the library screening and deconvolution methods described here with a rational chemical optimization strategy, we developed the first-in-class GADD45β/MKK7 inhibitor, DTP3 (a D-tripeptide), which is now being trialed in MM and diffuse large B-cell lymphoma (DLBCL) patients. The same drug discovery approach may be generally applied to therapeutically target other key components of the NF-κB pathway in cancers beyond MM and DLBCL, as well as in non-malignant NF-κB-driven diseases.