The COVID-19 pandemic, caused by SARS-CoV-2, emerges as a global health problem, as the viral genome is evolving rapidly to form several variants. Advancement and progress in the development of effective vaccines and neutralizing monoclonal antibodies are promising to combat viral infections. In the current scenario, several lineages containing “co-mutations” in the receptor-binding domain (RBD) region of the spike (S) protein are imposing new challenges. Co-occurrence of some co-mutations includes delta (L452R/T478K), kappa (L452R/E484Q), and a common mutation in both beta and gamma variants (E484K/N501Y). The effect of co-mutants (L452R/E484Q) on human angiotensin-converting enzyme 2 (hACE2) binding has already been elucidated. Here, for the first time, we investigated the role of these RBD co-mutations (L452R/E484Q) on the binding affinity of mAbs by adopting molecular dynamics (MD) simulation and free-energy binding estimation. The results obtained from our study suggest that the structural and dynamic changes introduced by these co-mutations reduce the binding affinity of the viral S protein to monoclonal antibodies (mAbs). The structural changes imposed by L452R create a charged patch near the interfacial surface that alters the affinity towards mAbs. In E484Q mutation, polar negatively charged E484 helps in the formation of electrostatic interaction, while the neutrally charged Q residue affects the interaction by forming repulsive forces. MD simulations along with molecular mechanics-generalized Born surface area (MMGBSA) studies revealed that the REGN 10933, BD-368-2, and S2M11 complexes have reduced binding affinity towards the double-mutant RBD. This indicates that their mutant (MT) structures have a stronger ability to escape from most antibodies than the wild type (WT). However, EY6A Ab showed higher affinity towards the double MT-RBD complex as compared to the WT. However, no significant effect of the per-residue contribution of double-mutated residues was observed, as this mAb does not interact with the region harboring L452 and E484 residues.

Over the last 2 decades, high throughput genome-wide molecular profiling has revealed characteristic genetic and epigenetic alterations associated with different types of central nervous system (CNS) tumors. DNA methylation profiling has emerged as an important molecular platform for CNS tumor classification with improved diagnostic accuracy and patient risk stratification in comparison to the standard of care histopathological analysis and any single molecular tests. The emergence of DNA methylation arrays have also played a crucial role in refining existing types and the discovery of new tumor types or subtypes. The adoption of methylation data into neuro-oncology has been greatly aided by the development of a freely accessible machine learning-based classifier. In this review, we discuss methylation workflow, address the utility of DNA methylation profiling in CNS tumors in a routine diagnostic setting, and provide an overview of the methylation-based tumor types and new types or subtypes identified with this platform.

PURPOSE: This pilot study is aimed to analyze a novel strategy of cervical cancer screening by training of Accredited Social Health Activist (ASHA) workers via telemedicine to counsel women for human papillomavirus (HPV) self-sampling. MATERIALS AND METHODS: This is a pilot, community-based, prospective, single-arm study. Physicians trained the ASHA workers regarding self-sampled HPV testing via a mobile application and telephonically using videos and e-pamphlets, who in turn trained the clients in community. The HPV kits were transported via prepaid courier service. RESULTS: Four hundred and sixty-five women of age group 30-65 years were tested by 47 teletrained ASHA workers. The mean age of ASHA worker and clients was 39.47 ± 6.45 and 37.26 ± 8.38 years, respectively. Of the ASHA workers, 91.7% were satisfied with the information provided during telecounseling, 95.7% could understand the contents of mobile app easily, and 93.6% could fill the data of clients in app easily. Of the clients, 99.6% were satisfied with counseling by ASHA workers and 98% found it easy to self-sample. The acceptability of this strategy among clients was 58.2%. The feasibility of this strategy (percentage of clients who find it easy/those who did self-sampling) was around 99%. Among those screened, 11.8% were high-risk HPV-positive and 85.5% had follow-up at the study center. CONCLUSION: The current study highlights a novel strategy of cervical cancer screening by incorporating the role of telemedicine in training ASHA workers and their role in improving the screening by home-based delivery of HPV kits with promising results.

Diffuse midline gliomas are malignant tumors primarily affecting children and are associated with poor outcomes. The 2021 WHO classification introduces three subtypes that all exhibit the universal phenomenon of H3K27 trimethylation loss. In this report, we present two cases of DMG, EGFR mutant, each featuring novel EGFR mutations within exon 20. These findings contribute to a deeper understanding of the molecular characteristics of these complex pediatric brain tumors. Notably, both cases were detected using cost-effective diagnostic approaches.

Background: The 5th edition of the World Health Organization (WHO) Central Nervous System (CNS) tumor classification for meningiomas acknowledges the clinical relevance of genomic profiling studies and emphasizes the importance of incorporating molecular information alongside histopathological features, leading to more accurate diagnoses and improved patient care. Methods: We analyzed 206 meningioma samples (108 histological grade 1, 89 grade 2, and 9 grade 3) to study pTERT mutations, CDKN2A/B homozygous deletion, loss of H3K27me3, and p16 expression. The association of these molecular markers with survival outcomes was also assessed. Results: pTERT mutation was found in 4.85% of cases, predominantly occurring in histological grade 2 (11.24%), while none of the histological grade 1 or 3 meningiomas exhibited this mutation. CDKN2A/B gene deletion was absent in grade 1 and detected in 2.24% of grade2, and 33.3% of histological grade 3 cases. There was a significant increase in loss of H3K27me3 with higher tumor grades, while p16 loss was observed in over 50% of cases across all histological grades. The presence of pTERT mutation and CDKN2A/B homozygous deletion resulted in the reclassification of 5.33% (11/206) of meningiomas as integrated grade 3. pTERT mutation and CDKN2A/B deletion, emerged as prognostically relevant markers, showing significant differences in progression-free survival (PFS) between integrated grade 3 and histological grade 2 meningiomas (P = .0002). Conclusions: pTERT mutations are the most clinically relevant genetic alterations in meningiomas. Routine testing for pTERT mutations can identify high-risk cases of histologically grade 2 meningiomas, providing crucial prognostic information for treatment planning. CDKN2A/B alteration is rare and not cost-effective in assessing meningiomas. Immunohistochemical assessment of p16 and H3K27me3 expression lacks significant prognostic value. Assessment of pTERT mutations offers a cost-effective and valuable diagnostic tool for meningiomas.