Singh, Pankaj Kumar

AbstractBackgroundThe E‐cadherin, α‐ and β‐Catenin interaction at the cell adherens junction plays a key role in cell adhesion; alteration in the expression and function of these genes are associated with disease progression in several solid tumors including prostate cancer. The membranous β‐Catenin is dynamically linked to the cellular cytoskeleton through interaction with α‐Catenin at amino acid positions threonine 120 (T120) to 151 of β‐Catenin. Nuclear presence of α‐Catenin modulates the sensitivity of cells to DNA damage. The objective of this study is to determine the role of α‐Catenin and protein kinase D1 (PrKD1) in DNA damage response.MethodsProstate cancer cells; LNCaP, LNCaP (Sh‐PrKD1; silenced PrKD1), C4‐2 and C4‐2 PrKD1 were used for various sets of experiments to determine the role of DNA damage in PrKD1 overexpression and silencing cells. These cells were treated with compound‐10 (100 nM) and Etoposide (30 µM), total cell lysates, cytosolic and nuclear fractions were prepared to observe various protein expressions. We performed single cell gel electrophoresis (COMET assay) to determine the etoposide induce DNA damage in C4‐2 and C4‐2 PrKD1 cells. The animal experiments were carried out to determine the tolerability of compound‐10 by mice and generate preliminary data on efficacy of compound‐10 in modulating the α‐Catenin and PrKD1 expressions in inhibiting tumor progression.ResultsPrKD1, a novel serine threonine kinase, phosphorylates β‐Catenin T120. In silico analysis, confirmed that T120 phosphorylation alters β‐ to α‐Catenin binding. Forced expression of PrKD1 in prostate cancer cells increased β‐ and α‐Catenin protein levels associated with reduced etoposide induced DNA damage. Downregulation of α‐Catenin abrogates the PrKD1 mitigation of DNA damage. The in vitro results were corroborated in vivo using mouse prostate cancer patient derived xenograft model by inhibition of PrKD1 kinase activity with compound‐10, a selective PrKD inhibitor, demonstrating decreased total β‐ and α‐Catenin protein levels, and β‐Catenin T120 phosphorylation.ConclusionsAlteration in DNA damage response pathways play major role in prostate cancer progression. The study identifies a novel mechanism of α‐Catenin dependent DNA damage mitigation role for PrKD1 in prostate cancer.

Cytotoxic T lymphocyte antigen-4 (CTLA-4) is an inhibitory immune checkpoint that can be expressed in tumor-infiltrating lymphocytes and colorectal cancer (CRC) cells. This immune checkpoint can attenuate anti-tumoral immune responses and facilitate tumor growth and metastasis. Although capecitabine is an effective chemotherapeutic agent for treating CRC, its effect on the tumoral CTLA-4 expression remains unclear. In the current research, we applied the GSE110224 and GSE25070 datasets to characterize CTLA-4 expression in CRC patients. Then, we analyzed CTLA-4 expression in CRC samples, HT-29, HCT-166, and SW480 cell lines using real-time PCR. Our bioinformatic results have highlighted the overexpression of CTLA-4 in the CRC tissues compared to the adjacent non-tumoral tissues. Our in vitro studies have indicated that SW480 cells can substantially overexpress CTLA-4 compared to HT-29 and HCT 116 cells. In addition, capecitabine can remarkably downregulate the expression of CTLA-4 in SW480 cells. Collectively, capecitabine can inhibit the expression of CTLA-4 in CRC cells and might bridge the immunotherapy approaches with chemotherapy.

Over the past decade, there have been remarkable advances in understanding the signaling pathways involved in cancer development. It is well-established that cancer is caused by the dysregulation of cellular pathways involved in proliferation, cell cycle, apoptosis, cell metabolism, migration, cell polarity, and differentiation. Besides, growing evidence indicates that extracellular matrix signaling, cell surface proteoglycans, and angiogenesis can contribute to cancer development. Given the genetic instability and vast intra-tumoral heterogeneity revealed by the single-cell sequencing of tumoral cells, the current approaches cannot eliminate the mutating cancer cells. Besides, the polyclonal expansion of tumor-infiltrated lymphocytes in response to tumoral neoantigens cannot elicit anti-tumoral immune responses due to the immunosuppressive tumor microenvironment. Nevertheless, the data from the single-cell sequencing of immune cells can provide valuable insights regarding the expression of inhibitory immune checkpoints/related signaling factors in immune cells, which can be used to select immune checkpoint inhibitors and adjust their dosage. Indeed, the integration of the data obtained from the single-cell sequencing of immune cells with immune checkpoint inhibitors can increase the response rate of immune checkpoint inhibitors, decrease the immune-related adverse events, and facilitate tumoral cell elimination. This study aims to review key pathways involved in tumor development and shed light on single-cell sequencing. It also intends to address the shortcomings of immune checkpoint inhibitors, i.e., their varied response rates among cancer patients and increased risk of autoimmunity development, via applying the data from the single-cell sequencing of immune cells.

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.