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Cancer research has advanced tremendously with the identification of causative genes, proteins, and signaling pathways. Numerous antitumor drugs have been designed and screened for cancer therapeutics; however, designing target-specific drugs for malignant cells with minimal side effects is challenging. Recently, energy-sensing- and homeostasis-associated molecules and signaling pathways playing a role in proliferation, apoptosis, autophagy, and angiogenesis have received increasing attention. Energy-metabolism-based studies have shown the contribution of energetics to cancer development, where tumor cells show increased glycolytic activity and decreased oxidative phosphorylation (the Warburg effect) in order to obtain the required additional energy for rapid division. The role of energy homeostasis in the survival of normal as well as malignant cells is critical; therefore, fuel intake and expenditure must be balanced within acceptable limits. Thus, energy-sensing enzymes detecting the disruption of glycolysis, AMP, ATP, or GTP levels are promising anticancer therapeutic targets. Here, we review the common energy mediators and energy sensors and their metabolic properties, mechanisms, and associated signaling pathways involved in carcinogenesis, and explore the possibility of identifying drugs for inhibiting the energy metabolism of tumor cells. Furthermore, to corroborate our hypothesis, we performed meta-analysis based on transcriptomic profiling to search for energy-associated biomarkers and canonical pathways.

Identifying cancer biomarkers is imperative, as upregulated genes offer a better microenvironment for the tumor; hence, targeted inhibition is preferred. The theme of our study is to predict molecular interactions between cancer biomarker proteins and selected natural compounds. We identified an overexpressed potential molecular target (AKT1) and computationally evaluated its inhibition by four dietary ligands (isoliquiritigenin, shogaol, tehranolide, and theophylline). The three-dimensional structures of protein and phytochemicals were retrieved from the RCSB PDB database (4EKL) and NCBI's PubChem, respectively. Rational structure-based docking studies were performed using AutoDock. Results were analyzed based primarily on the estimated free binding energy (kcal/mol), hydrogen bonds, and inhibition constant, Ki, to identify the most effective anti-cancer phytomolecule. Toxicity and drug-likeliness prediction were performed using OSIRIS and SwissADME. Amongst the four phytocompounds, tehranolide has better potential to suppress the expression of AKT1 and could be used for anti-cancer drug development, as inhibition of AKT1 is directly associated with the inhibition of growth, progression, and metastasis of the tumor. Docking analyses reveal that tehranolide has the most efficiency in inhibiting AKT1 and has the potential to be used for the therapeutic management of cancer. Natural compounds targeting cancer biomarkers offer less rejection, minimal toxicity, and fewer side effects.

"CRISPR" is an abbreviation for Clustered Regularly Interspaced Short Palindromic Repeats, which are a characteristic of the bacterial defense system and Cas9 (or "CRISPR-associated") is a RNA-guided DNA endonuclease or molecular scissor, capable of cutting DNA strands. Both together forms the basis for CRISPR-Cas9 targeted genome editing technology and enables highly specific genomic modifications to an organism's DNA. Recent advent of high-throughput genomics has revolutionizing personalized medicine and enhanced our molecular understanding of human cancers. The development of the CRISPR/Cas9 tool has unveiled advancement of new, simplistic and efficient in vivo model systems in oncology. The usage of CRISPR/Cas9 gene editing systems for curing various cancers promises to be the next great biotechnological breakthrough in medicine. However, urgent attention is needed to assess the functional relevance of novel cancer-associated mutations and translate our molecular knowledge to therapeutics. Herein, we will review the development and applications of the exciting uses of the CRISPR/Cas9 technique for cancer research and therapy with focus on origin, progress, clinical trials, implications, and challenges ahead. Major ethical and safety concerns are perhaps unknown long term consequences of DNA manipulation and irreversibility of this procedure., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Toxicity induced by radiation therapy is a curse for cancer patients undergoing treatment. It is imperative to understand and define an ideal condition where the positive effects notably outweigh the negative. We used a microarray meta-analysis approach to measure global gene-expression before and after radiation exposure. Bioinformatic tools were used for pathways, network, gene ontology and toxicity related studies. We found 429 differentially expressed genes at fold change >2 and p-value <0.05. The most significantly upregulated genes were synuclein alpha (SNCA), carbonic anhydrase I (CA1), X-linked Kx blood group (XK), glycophorin A and B (GYPA and GYPB), and hemogen (HEMGN), while downregulated ones were membrane-spanning 4-domains, subfamily A member 1 (MS4A1), immunoglobulin heavy constant mu (IGHM), chemokine (C-C motif) receptor 7 (CCR7), BTB and CNC homology 1 transcription factor 2 (BACH2), and B-cell CLL/lymphoma 11B (BCL11B). Pathway analysis revealed calcium-induced T lymphocyte apoptosis and the role of nuclear factor of activated T-cells (NFAT) in regulation of the immune response as the most inhibited pathways, while apoptosis signaling was significantly activated. Most of the normal biofunctions were significantly decreased while cell death and survival process were activated. Gene ontology enrichment analysis revealed the immune system process as the most overrepresented group under the biological process category. Toxicity function analysis identified liver, kidney and heart to be the most affected organs during and after radiation therapy. The identified biomarkers and alterations in molecular pathways induced by radiation therapy should be further investigated to reduce the cytotoxicity and development of fatigue.

Cone snails, also known as marine gastropods, from Conus genus produce in their venom a diverse range of small pharmacologically active structured peptides called conotoxins. The cone snail venoms are widely unexplored arsenal of toxins with therapeutic and pharmacological potential, making them a treasure trove of ligands and peptidic drug leads. Conotoxins are small disulfide bonded peptides, which act as remarkable selective inhibitors and modulators of ion channels (calcium, sodium, potassium), nicotinic acetylcholine receptors, noradrenaline transporters, N-methyl-D-aspartate receptors, and neurotensin receptors. They are highly potent and specific against several neuronal targets making them valuable as research tools, drug leads and even therapeutics. In this review, we discuss their gene superfamily classification, nomenclature, post-translational modification, structural framework, pharmacology and medical applications of the active conopeptides. We aim to give an overview of their structure and therapeutic potential. Understanding these aspects of conopeptides will help in designing more specific peptidic analogues.

Non-communicable chronic diseases have been apparently established as threat to human health, and are currently the world's main killer. Cardiovascular diseases (CVD), cancer, diabetes and neurodegenerative diseases are collectively amounting to more than 60% of non-communicable disease burden across world. Tremendous advancements in healthcare enabled us to fight several health problems primarily infectious diseases. However, this increased longevity where in many cases an individual suffers from several such chronic diseases simultaneously, making treatment complex. Finding whether diseases can coexist in an individual by chance or there exists a possible association between them is vital. Our goal is to establish possible existing link among CVD, cancer and Parkinson's disease (PD) for better understanding of the associated molecular network. In this study, we integrated multiple dataset retrieved from the National Centre for Biotechnology Information's Gene Expression Omnibus database, and took a systems-biology approach to compare and distinguish the molecular network associated with PD, cancer and CVD. We identified 230, 308 and 1619 differentially expressed genes for CVD, cancer and PD dataset respectively using cut off p value<0.5 and fold change>2. We integrated these data with known pathways using Ingenuity Pathway Analysis tool and found following common pathways associated with all three diseases to be most affected; epithelial adherens junction signaling, remodelling of epithelial adherens junctions, role of BRCA1 in DNA damage response, sphingomyelin metabolism, 3- phosphoinositide biosynthesis, acute myeloid leukemia signaling, type I diabetes mellitus signaling, agrin interactions at neuromuscular junction, role of IL-17A in arthritis, and antigen presentation pathways. In conclusion, CVD, cancer and PD appear tightly associated at molecular level.