Epigenetics: Mechanisms, potential roles, and therapeutic strategies in cancer progression

Interplay Between TGFβ1 Signaling and Cancer-Testis Antigen MAGEB2: A New Thorn in Cancer's Side?

The Melanoma Antigen Gene (MAGE) family of proteins is the largest family of cancer-testis antigens (CTAs) and shares a MAGE homology domain (MHD). MAGE proteins are divided into Type I and Type II MAGEs depending on their chromosomal location and expression patterns. Type I MAGEs are true CTAs. MAGEB2 is a Type I MAGE, belonging to the MAGEB subfamily, and unlike some MAGE proteins, has not been found to bind to and enhance E3 ligase activity. MAGEB2 has been discovered to be an RNA-binding protein that serves to protect spermatogonial cells in the testis from extraneous stressors. We have discovered that MAGEB2 is necessary and sufficient for the proliferation of cells and is expressed by the differential DNA methylation of its gene promoter. Furthermore, we identified JunD as the transcription factor that regulates MAGEB2 expression. When expressed, MAGEB2 suppresses transforming grown factor-β1 (TGFβ1) signaling by decreasing mRNA levels of Thrombospondin-1 (TSP-1). TSP-1 is an anti-angiogenic protein that activates TGFβ1. Restoring levels of TSP-1 or TGFβ1 results in the inability of MAGEB2 to drive proliferation, suggesting that MAGEB2-expressing tumors might be more susceptible to therapies that induce or activate TSP-1 or TGFβ1 signaling.

Anticancer benzimidazole derivatives as inhibitors of epigenetic targets: a review article

Cancer is one of the leading causes of morbidity and mortality worldwide. One of the primary causes of cancer development and progression is epigenetic dysregulation, which is a heritable modification that alters gene expression without changing the DNA sequence. Therefore, targeting these epigenetic changes has emerged as a promising therapeutic strategy. Benzimidazole derivatives have gained attention for their potent epigenetic modulatory effects as they interact with various epigenetic targets, including DNA methyltransferases, histone deacetylases and histone methyltransferases. This review provides a comprehensive overview of benzimidazole derivatives that inhibit different acetylation and methylation reader, writer and eraser epigenetic targets. Herein, we emphasize the therapeutic potential of these compounds in developing targeted, less toxic cancer therapies. Presently, some promising benzimidazole derivatives have entered clinical trials and shown great advancements in the fields of hematological and solid malignancy therapies. Accordingly, we highlight the recent advancements in benzimidazole research as epigenetic agents that could pave the way for designing new multi-target drugs to overcome resistance and improve clinical outcomes for cancer patients. This review can help researchers in designing new anticancer benzimidazole derivatives with better properties.

Revisiting epigenetic regulation in cancer: Evolving trends and translational implications

Cancer is a leading cause of mortality worldwide. The evolving role of epigenetics and tumor microenvironments of cancer pose significant challenges to the management of cancer. Besides genetics, epigenetic changes play a crucial role in the alteration of cellular machinery, progression, metastasis, epithelial-mesenchymal transition, and chemoresistance. Epigenetic changes such as DNA and RNA methylation, histone modifications, and chromatin modeling directly or indirectly influence the different stages of cancer from initiation to chemoresistant phenotype. In addition, alterations in the epigenetic machinery, such as hypo- or hyperactivation of proteins involved in epigenetic modifications, can lead to different health complications, including cancer. Recently, epi-drugs or epigenetic drugs offer emerging hope for the treatment and management of this deadly disease. Various epigenetic drugs targeting factors responsible for epigenetic modifications in cancer are currently under clinical trials. This chapter provides an overview of epigenetic modifications, their clinical implications, and the potential of epigenetic drugs for cancer treatment.

Prognostic factors and survival prediction of resected non-small cell lung cancer with ipsilateral pulmonary metastases: a study based on the Surveillance, Epidemiology, and End Results (SEER) database

BACKGROUND

Prognostic factors and survival outcomes of non-small cell lung cancer (NSCLC) with Ipsilateral pulmonary metastasis (IPM) are not well-defined. Thus, this study intended to identify the prognostic factors for these patients and construct a predictive nomogram model.

METHODS

One thousand, seven hundred thirty-two patients with IPM identified between 2000 to 2019 were from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were identified using multivariate Cox regression analyses. Nomograms were constructed to predict the overall survival (OS), C-index, the area under the curve (AUC), and the calibration curve to determine the predictive accuracy and discrimination; the decision curve analysis was used to confirm the clinical utility.

RESULTS

Patients were randomly divided into training (n = 1213) and validation (n = 519) cohorts. In the training cohort, the multivariable analysis demonstrated that age, sex, primary tumor size, N status, number of regional lymph nodes removed, tumor grade, and chemotherapy were independent prognostic factors for IPM. We constructed a 1-year, 3-year, and 5-year OS prediction nomogram model using independent prognostic factors. The C-index of this model for OS prediction was 0.714 (95% confidence interval [CI], 0.692 to 0.773) in the training cohort and 0.695 (95% CI, 0.660 to 0.730) in the validation cohort. Based on the AUC of the receiver operating characteristic analysis, calibration plots, and decision curve analysis, we concluded that the prognosis model of IPM exhibited excellent performance. Patients with total nomogram points greater than 96 were considered high-risk.

CONCLUSION

We constructed and internally validated a nomogram to predict 1-year, 3-year, and 5-year OS for NSCLC patients with IPM according to independent prognostic factors. This nomogram demonstrated good calibration, discrimination, clinical utility, and practical decision-making effects for the prognosis of NSCLC patients with IPM.