Given the evolutionary nature of tumor complexities and heterogeneity, the early diagnosis of cancer encounters various challenges. Complexities at the level of metabolite reprogramming are compelling in the background of invasiveness, metastasis, drug- and radiation-induced metabolic alterations, immunotherapy-influenced changes, and pro-tumor niche including microbiome. Therefore, it is crucial to examine both current and future obstacles associated with early cancer detection specifically in the context of tumor metabolite biomarkers at preclinical and clinical levels. In conclusion, the significance of tumor metabolite biomarkers must be aligned with a comprehensive approach to achbieve diagnosis and prognosis of cancer patients by securing solutions to formidable challenges.

Given the evolutionary nature of tumor complexities and heterogeneity, the early diagnosis of cancer encounters various challenges. Complexities at the level of metabolite reprogramming are compelling in the background of invasiveness, metastasis, drug- and radiation-induced metabolic alterations, immunotherapy-influenced changes, and pro-tumor niche including microbiome. Therefore, it is crucial to examine both current and future obstacles associated with early cancer detection specifically in the context of tumor metabolite biomarkers at preclinical and clinical levels. In conclusion, the significance of tumor metabolite biomarkers must be aligned with a comprehensive approach to achbieve diagnosis and prognosis of cancer patients by securing solutions to formidable challenges.

Given the evolutionary nature of tumor complexities and heterogeneity, the early diagnosis of cancer encounters various challenges. Complexities at the level of metabolite reprogramming are compelling in the background of invasiveness, metastasis, drug- and radiation-induced metabolic alterations, immunotherapy-influenced changes, and pro-tumor niche including microbiome. Therefore, it is crucial to examine both current and future obstacles associated with early cancer detection specifically in the context of tumor metabolite biomarkers at preclinical and clinical levels. In conclusion, the significance of tumor metabolite biomarkers must be aligned with a comprehensive approach to achbieve diagnosis and prognosis of cancer patients by securing solutions to formidable challenges.

Cancer drug resistance is associated with metabolic adaptation. Cancer cells have been shown to implicate acetylated polyamines in adaptations during cell death. However, exploring the mimetic of acetylated polyamines as a potential anticancer drug is lacking.We performed intracellular metabolite profiling of human breast cancer MCF-7 cells treated with doxorubicin (DOX), a well known anticancer drug. A novel and in-house vertical tube gel electrophoresis assisted procedure followed by LC-HRMS analysis was employed to detect acetylated polyamines such as N1-acetylspermidine. We designed a mimetic N1-acetylspermidine (MINAS) which is a known substrate of histone deacetylase 10 (HDAC10). Molecular docking and molecular dynamics (MDs) simulations were used to evaluate the inhibitory potential of MINAS against HDAC10. The inhibitory potential and the ADMET profile of MINAS were compared to a known HDAC10 inhibitor Tubastatin A. N1-acetylspermidine, an acetylated form of polyamine, was detected intracellularly in MCF-7 cells treated with DOX over DMSO-treated MCF-7 cells. We designed and curated MINAS (PubChem CID 162679241). Molecular docking and MD simulations suggested the strong and comparable inhibitory potential of MINAS (–8.2 kcal/ mol) to Tubastatin A (–8.4 kcal/mol). MINAS and Tubastatin A share similar binding sites on HDAC10, including Ser138, Ser140, Tyr183, and Cys184. Additionally, MINAS has a better ADMET profile compared to Tubastatin A, with a high MRTD value and lower toxicity. In conclusion, the data show that N1-acetylspermidine levels rise during DOX-induced breast cancer cell death. Additionally, MINAS, an N1-acetylspermidine mimetic compound, could be investigated as a potential anticancer drug when combined with chemotherapy like DOX.

There is a lack of evidence regarding the use of betel quid (BQ) and its potential contribution to oral cancer. Limited attention has been directed towards investigating the involvement of BQ-derived organic acids in the modulation of metabolic-epigenomic pathways associated with oral cancer initiation and progression. We employed novel protocol for preparing saliva-amalgamated BQ filtrate (SABFI) that mimics the oral cavity environment. SABFI and saliva control were further purified by an in-house developed vertical tube gel electrophoresis tool. The purified SABFI was then subjected to liquid chromatography-high resolution mass spectrometry analysis to identify the presence of organic acids. Profiling of SABFI showed a pool of prominent organic acids such as citric acid. malic acid, fumaric acid, 2-methylcitric acid, 2-hydroxyglutarate, cis-aconitic acid, succinic acid, 2-hydroxyglutaric acid lactone, tartaric acid and β-ketoglutaric acid. SABFI showed anti-proliferative and early apoptosis effects in oral cancer cells. Molecular docking and molecular dynamics simulations predicted that SABFI-derived organic acids as potential inhibitors of the epigenetic demethylase enzyme, Ten-Eleven Translocation-2 (TET2). By binding to the active site of α-ketoglutarate, a known substrate of TET2, these organic acids are likely to act as competitive inhibitors. This study reports a novel approach to study SABFI-derived organic acids that could mimic the chemical composition of BQ in the oral cavity. These SABFI-derived organic acids projected as inhibitors of TET2 and could be explored for their role oral cancer.

Several genetic and epigenetic theories have been suggested to explain the intricacies of life and death. However, several questions remain unsettled regarding cellular death events, particularly of living tissue in the case of cancer patients, such as the fate and adaptation of cancer cells after biological death. It is possible that cancer cells can display the intent to communicate with the external environment after biological death by means of molecular, genetic, and epigenetic pathways. Whether these cancer cells contain special information in the form of coding that may help them survive beyond the biological death of cancer patients is unknown. To understand these queries in the cancer field, we hypothesize the epigenomic hard drive (EHD) as a cellular component to record and store global epigenetic events in cancerous and non-cancerous tissues of cancer patients. This mini-review presents the novel concept of EHD that is reinforced with the existing knowledge of genetic and epigenetic events in cancer. Further, we summarize the EHD understanding that may impart much potential and interest for basic and clinical scientists to unravel mechanisms of carcinogenesis, therapeutic markers, and differential drug responses.
Carcinogenesis ; Chromatin ; Clinical Coding ; Epigenomics* ; Humans