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This article, titled "Comprehensive Genomic Characterization of 1,200 Samples across 25 Cancer Types of Indian Ethnicity," discusses the lack of ethnic diversity in large-scale genomic projects and aims to fill this gap by conducting genomic characterization of 1,200 Indian patient samples across 25 cancer types. The study utilizes whole exome and whole transcriptome sequencing and develops an integrated genomics analysis pipeline. The results provide insights into cancer driver alterations, therapeutic targets, microsatellite instability, tumor mutation burden, and molecular subtypes specific to the Indian cancer cohort. The study also identifies novel deleterious mutations and highlights the potential for further ethnic-specific biological studies and clinical trials. [Extracted from the article]

Abstract Background The Azadirachta indica (neem) tree is a source of a wide number of natural products, including the potent biopesticide azadirachtin. In spite of its widespread applications in agriculture and medicine, the molecular aspects of the biosynthesis of neem terpenoids remain largely unexplored. The current report describes the draft genome and four transcriptomes of A. indica and attempts to contextualise the sequence information in terms of its molecular phylogeny, transcript expression and terpenoid biosynthesis pathways. A. indica is the first member of the family Meliaceae to be sequenced using next generation sequencing approach. Results The genome and transcriptomes of A. indica were sequenced using multiple sequencing platforms and libraries. The A. indica genome is AT-rich, bears few repetitive DNA elements and comprises about 20,000 genes. The molecular phylogenetic analyses grouped A. indica together with Citrus sinensis from the Rutaceae family validating its conventional taxonomic classification. Comparative transcript expression analysis showed either exclusive or enhanced expression of known genes involved in neem terpenoid biosynthesis pathways compared to other sequenced angiosperms. Genome and transcriptome analyses in A. indica led to the identification of repeat elements, nucleotide composition and expression profiles of genes in various organs. Conclusions This study on A. indica genome and transcriptomes will provide a model for characterization of metabolic pathways involved in synthesis of bioactive compounds, comparative evolutionary studies among various Meliaceae family members and help annotate their genomes. A better understanding of molecular pathways involved in the azadirachtin synthesis in A. indica will pave ways for bulk production of environment friendly biopesticides.

Purpose: Gene fusions are critical oncogenic mutations that drive cancer development and serve as diagnostic and prognostic biomarkers. Despite the increasing cancer burden in India, large-scale analyses of molecular landscapes, particularly gene fusions, have been relatively scarce., Materials and Methods: This retrospective study used RNA-exome data from 1,392 Indian patients with cancer across 15 major cancer types to explore gene fusions. The study used a comprehensive framework that integrated open-source and proprietary tools to detect gene fusions from formalin-fixed paraffin-embedded tumor samples. The process involved RNA extraction, RNA-exome library preparation, and analysis using tools such as FastQC, DRAGEN RNA Pipeline, STAR-Fusion, and FusionInspector. We validated and filtered potential false-positive fusion calls using AGFusion and FusionAnnotator to annotate fusion breakpoints and their functional impact through various in silico tools., Results: The study found a notable prevalence of FGFR fusions across cancer types, especially FGFR3, with FGFR3::TACC3 as the most recurrent. Kinase fusions were prevalent in the cohort accounting for 37% of incidence in the patients. We also identified 91 novel potential driver fusions, including those involving FGFR2 , MET , ESR1 , and PDGFRA., Conclusion: This study underscores the critical role of gene fusions as biomarkers in cancer, extending beyond fusion-driven malignancies to encompass all cancer types. Gene fusions serve as both diagnostic markers and tumor-agnostic therapeutic targets within the current cancer treatment paradigm. Our insights into the prevalence of oncogenic drivers and novel targets expand the understanding of gene fusions, shedding new light on their mechanisms and clinical implications.

Purpose: The purpose of this study was to understand the impact of population diversity and geographic variation on tumor mutation burden (TMB) scores across cancers and its implication on stratification of patients for immune checkpoint inhibitor (ICI) therapy., Materials and Methods: This retrospective study used whole-exome sequencing (WES) to profile 1,233 Indian patients with cancer across 30 different cancer types and to estimate their TMB scores. A WES-based pipeline was adopted, along with an indigenously developed strategy for arriving at true somatic mutations. A robust unsupervised machine learning approach was used to understand the distribution of TMB scores across different populations and within the population., Results: The results of the study showed a biphasic distribution of TMB scores in most cancers, with different threshold scores across cancer types. Patients with cancer in India had higher TMB scores compared with the Caucasian patients. We also observed that the TMB score value at 90th percentile (predicting high efficacy to ICI) was high in four different cancer types (sarcoma, ovary, head and neck, and breast) in the Indian cohort as compared with The Cancer Genome Atlas or public cohort. However, in lung and colorectal cancers, the TMB score distribution was similar between the two population cohorts., Conclusion: The findings of this study indicate that it is crucial to benchmark both cancer-specific and population-specific TMB distributions to establish a TMB threshold for each cancer in various populations. Additional prospective studies on much larger population across different cancers are warranted to validate this observation to become the standard of care.