Progression-free survival estimation of docetaxel-based second-line treatment for advanced non-small cell lung cancer: a pooled analysis from 18 randomized control trials.

Background: Lung cancer is the foremost cause of cancer-related death globally, with non-small cell lung cancer (NSCLC) accounting for 85-90% of cases. Targeted therapy is the most essential therapeutic option for NSCLC, other common treatments include radiation therapy, surgery, chemotherapy, and immunotherapy. Objective: Our study objective was to estimate whether progression-free survival (PFS) is an outcome of NSCLC extracted from 18 randomized control trials (RCTs) with docetaxel as experimental group and antineoplastic agent, kinase inhibitor, and monoclonal antibodies as a control group. Methods: We selected relevant studies published between 2011 and 2022 using Google Scholar, PubMed, Scopus, Science Direct, and Cochrane Library. Advanced NSCLC, chemotherapy, RCT, docetaxel, and second-line treatment were the terms included in the search. A total of 9738 patients were evaluated from the 18 identified studies. We used the meta package of R Studio to perform the meta-analysis. Graphical funnel plots were used to evaluate publication bias visually. Results: Patients who underwent docetaxel-based therapy had a considerably longer PFS than those who got antineoplastic agents, kinase inhibitors, or monoclonal antibodies-based treatment. Patients in the standard treatment arm had a slightly longer PFS than those in the experimental therapy arm in the overall meta-analysis. Conclusion: Docetaxel outperformed monoclonal antibodies, antineoplastic agents, and kinase inhibitors in the second-line therapy of advanced NSCLC since PFS was extensively utilized.

Cell cycle arrest and apoptotic studies of Terminalia chebula against MCF-7 breast cancer cell line: an in vitro and in silico approach.

Breast cancer is a leading cause of mortality in women, and alternative therapies with fewer side effects are actively being explored. Breast cancer is a significant global health concern, and conventional treatments like radiotherapy and chemotherapy often have side effects. Medicinal plant extracts offer a promising avenue for the development of effective and safe anticancer therapies. Terminalia chebula, a plant known for its medicinal properties, was selected for investigation in this study. We aimed to assess the antiproliferative effects of TCF extract on breast cancer cells and explore the potential role of saccharopine, a phytochemical found in TCF, as an anticancer agent. MCF7 breast cancer cell lines were exposed to TCF extract, and cell viability and apoptosis assays were performed to evaluate the antiproliferative and apoptogenic effects. Molecular docking studies were conducted to assess the binding affinity of saccharopine with EGFRs. Molecular dynamics simulations and binding energy calculations were employed to analyze the stability of the EGFR-saccharopine complex. The TCF extract exhibited significant antiproliferative effects on MCF7 breast cancer cells and induced apoptosis in a dose-dependent manner. Molecular docking analysis revealed that saccharopine demonstrated a higher binding affinity with EGFR compared to the reference compound (17b-estradiol). The subsequent MDS simulations indicated stable binding patterns and conformation of the EGFR-saccharopine complex, suggesting a potential role in inhibiting EGFR-mediated signaling pathways. The investigation of Terminalia chebula fruit extract and its phytochemical saccharopine has revealed promising antiproliferative effects and a strong binding affinity with EGFR. These findings provide a foundation for future research aimed at isolating saccharopine and conducting in vivo studies to evaluate its potential as a targeted therapy for breast cancer. The development of novel anticancer agents from plant sources holds great promise in advancing the field of oncology and improving treatment outcomes for breast cancer patients.

Evaluating the Antimicrobial and Anti-Hemolytic Activity of Synthesized Pseudopeptide against Leptospiral Species: In Silico and In Vitro Approach.

Bacterial infections are one of the leading causes of morbidity, mortality, and healthcare complications in patients. Leptospirosis is found to be the most prevalent, re-emergent, and neglected tropical zoonotic disease worldwide. The adaptation to various environmental conditions has made Leptospira acquire a large genome (~4.6 Mb) and a complex outer membrane, making it unique among bacteria that mimic the symptoms of jaundice and hemorrhage. Sph2 is another important virulence factor that enhances hemolytic sphingomyelinase-capable of moving inside mitochondria-which increases the ROS level and decreases the mitochondrial membrane potential, thereby leading to cell apoptosis. In the present study, 25 suspected bovine serum samples were subjected to the Microscopic Agglutination Test (MAT) across the Mysuru region. Different samples, such as urine, serum, and aborted materials from the confirmed MAT-positive animals, were used for isolation and genomic detection by conventional PCR targeting virulence gene, Lipl32, using specific primers. Further, in vitro and in silico studies were performed on isolated cultures to assess the anti-leptospiral, anti-hemolytic, and sphingomyelinase enzyme inhibition using novel pseudopeptides. The microdilution technique (MDT) and dark field microscope (DFM) assays revealed that at a concentration of 62.5 µg/mL, the pseudopeptide inhibited 100% of the growth of Leptospira spp., suggesting its efficiency in the treatment of leptospirosis. The flow cytometry analyses show the potency of the pseudopeptide against sphingomyelinase enzymes using human umbilical vein endothelial cells (HUVECs). Thus, the present study demonstrated the efficacy of the pseudopeptide in the inhibition of the growth of Leptospira, and therefore, this can be used as an alternative drug for the treatment of leptospirosis.

Evaluation of codon usage patterns and molecular evolution dynamics in Japanese encephalitis virus: An integrated bioinformatics approach.

In the recent survey, Japanese encephalitis (JE) is one of the most common mosquito-borne diseases, accounting for ∼30% of fatalities. The outbreaks of the JE virus (JEV) suggests that exhaustive study is essential for the prevention and management of the disease. The disease mainly spreads in humans and pigs by the vector: mosquito; as this is a major concern, this study had employed various bioinformatics tools to investigate the codon usage bias, evolutionary inference and selection pressure analysis of the Japanese encephalitis virus disease. The results indicated that the JE virus was biased and natural selection was the main factor shaping the codon usage that was determined and confirmed with the Nc, neutrality, PR2 plots and correlation analysis. The evolutionary analysis revealed that the virus had a substitution rate of 1.54 × 10-4 substitution/site/year and the tMRCA was found to be in 1723. The transmission of the virus in the map found transmissions mostly from China and transmitted across Asia and Africa. The selection pressure analysis employed three methods which had 969th codon site as diversifying site and had many purifying sites that shows the virus had evolved rapidly. The inferences from this study would aid people to employ this methodology on various diseases and also perform insilico studies in the field of vaccinology and immunoinformatics.

Plants and endophytes - a partnership for the coumarin production through the microbial systems.

Plant-based secondary metabolite production system is well established. However, host-endophyte interaction in the production of secondary metabolite is a new less exploited area that is overcoming barriers and evolving as one of the prospective fields. Endophytes such as bacteria or fungi have the ability to produce some of the secondary metabolites that mimic the plant metabolites therefore escaping the host defence system. Coumarin is one such metabolite with immense biological functions. Most of the studies have demonstrated coumarin production from fungal endophytes but not bacterial endophytes. Herein, we present an overview of all the coumarin derivatives produced from endophytic sources and their biosynthetic pathways. Furthermore, the review also throws light on the isolation of these coumarins and different derivatives with respect to their biological activity. The biotransformation of coumarin derivatives by the action of endophytic fungi is also elaborated. The present review provides an insight on the challenges faced in the coumarin production through fungal endophytes.

Everything Old Is New Again: Drug Repurposing Approach for Non-Small Cell Lung Cancer Targeting MAPK Signaling Pathway.

Non-small cell lung cancer (NSCLC) is a prominent subtype of lung carcinoma that accounts for the majority of cancer-related deaths globally, and it is responsible for about 80% to 85% of lung cancers. Mitogen-Activated Protein Kinase (MAPK) signaling pathways are a vital aspect of NSCLC, and have aided in the advancement of therapies for this carcinoma. Targeting the Ras/Raf/MEK/ERK pathway is a promising and alternative method in NSCLC treatment, which is highlighted in this review. The introduction of targeted medicines has revolutionized the treatment of patients with this carcinoma. When combined with current systems biology-driven stratagems, repurposing non-cancer drugs into new therapeutic niches presents a cost-effective and efficient technique with enhancing outcomes for discovering novel pharmacological activity. This article highlights the successful cutting-edge techniques while focusing on NSCLC targeted therapies. The ultimate challenge will be integrating these repurposed drugs into the therapeutic regimen of patients affected with NSCLC to potentially increase lung cancer cure rates.

In silico evaluation of flavonoids as effective antiviral agents on the spike glycoprotein of SARS-CoV-2.

The novel coronavirus pandemic has spread over in 213 countries as of July 2020. Approximately 12 million people have been infected so far according to the reports from World Health Organization (WHO). Preventive measures are being taken globally to avoid the rapid spread of virus. In the current study, an in silico approach is carried out as a means of inhibiting the spike protein of the novel coronavirus by flavonoids from natural sources that possess both antiviral and anti-inflammatory properties. The methodology is focused on molecular docking of 10 flavonoid compounds that are docked with the spike protein of SARS-CoV-2, to determine the highest binding affinity at the binding site. Molecular dynamics simulation was carried out with the flavonoid-protein complex showing the highest binding affinity and highest interactions. The flavonoid naringin showed the least binding energy of -9.8 Kcal/mol with the spike protein which was compared with the standard drug, dexamethasone which is being repurposed to treat critically ill patients. MD simulation was carried out on naringin-spike protein complex for their conformational stability in the active site of the novel coronavirus spike protein. The RMSD of the complex appeared to be more stable when compared to that of the protein from 0.2 nm to 0.4 nm. With the aid of this in silico approach further in vitro studies can be carried out on these flavonoids against the novel coronavirus as a means of viral protein inhibitors.

Corrigendum: Everything Old Is New Again: Drug Repurposing Approach for Non-Small Cell Lung Cancer Targeting MAPK Signaling Pathway.

[This corrects the article DOI: 10.3389/fonc.2021.741326.].

Molecular docking analysis of phytocompounds from Acacia farnesiana with protein targets linked to bronchitis.

Acute bronchitis is a lower respiratory tract lung infection that causes bronchial inflammation. The known protein drug targets are peptidoglycan D, D-transpeptidase, and DNA topoisomerase 4 subunit A for bronchitis linked infections. These are the membrane associated macromolecules which takes a major role in the formation of cell wall membrane by synthesising the cross-linked peptidoglycan. Therefore, it is of interest to design molecules with improved binding features with these protein targets. Hence, we document the molecular docking analysis data of four phytocompounds from Acacia farnesiana having optimal binding features with these targets linked to bronchitis for further consideration.