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Malhotra, J.

Publications and source records attributed to Malhotra, J..

7 recordsLinked to original sources

The Impact of Smoking Status on the Genomic Landscape of Lung Squamous Cell Carcinoma

PurposeComprehensive genomic profiling (CGP) has changed the treatment paradigm for non-small cell lung cancer (NSCLC) with the advent of molecularly targeted therapies for actionable genomic alterations (AGA). Despite this, the use of CGP is suboptimal, particularly in squamous cell lung cancer (sqNSCLC), which is more closely associated with smoking exposure and a lack of AGAs. We hypothesized that the prevalence of AGAs is inversely correlated with the chronicity and extent of smoking exposure in patients with sqNSCLC. Experimental DesignWe retrospectively evaluated all patients with liquid biopsy testing via Guardant 360CDX or Guardant360 in the context of any sqNSCLC diagnosis at the City of Hope Comprehensive Cancer Center between 10/2020 and 7/2023. The data was obtained on 2/23/24. Social and clinical histories were evaluated to assess the frequency of AGAs in patients with no or remote smoking history. ResultsOf the 56 patients in the initial evaluation, 24% (n=13) were non-smokers or remote smokers (greater than 20 years from cessation). Of these 13 patients, eight (61.5%) harbored AGA. Of these 8 patients, alterations observed included EGFR exon 19 deletion (50%, n=4), MET exon 14 skipping mutation (25%, n=2), EGFR G719S (13%, n=1), EGFR E114K (13%, n=1). Of those patients harboring AGAs that received NCCN-concordant matched targeted therapy, the objective response rate (ORR) with targeted agents was 50% and the clinical benefit rate (CBR) was 83.3%. ConclusionsThese data support the use of CGP in sqNSCLC particularly in patients with remote or no smoking exposure. Statement of translational relevanceThese data demonstrate high frequency of actionable genomic alterations (AGAs) in patients diagnosed with squamous cell lung cancer (sqNSCLC) with remote or no smoking history. Specifically, enrichment of EGFR and MET gene alterations were observed. These findings support the use of comprehensive molecular profiling in sqNSCLC. Furthermore, treatment outcomes demonstrate frequent objective responses and high clinical benefit rate supporting the use of targeted therapies in sqNSCLC harboring AGAs. This analysis provided rationale for further research of larger datasets investigating therapeutic approaches in sqNSCLC, which may have significant implications for consensus guideline recommendations and routine clinical practice.

cancer biology↗

Tissue-specific modulation of NADH consumption as an anti-aging intervention in Drosophila

Aging is characterized by extensive metabolic dysregulation. Redox coenzyme nicotinamide adenine dinucleotide (NAD) can exist in oxidized (NAD+) or reduced (NADH) states, which together form a key NADH/NAD+ redox pair. Total levels of NAD decline with age in a tissue-specific manner, thereby playing a significant role in the aging process. Supplementation with NAD precursors boosts total cellular NAD levels and provides some therapeutic benefits in human clinical trials. However, supplementation studies cannot determine tissue-specific effects of an altered NADH/NAD+ ratio. Here, we created transgenic Drosophila expressing a genetically encoded xenotopic tool LbNOX to directly manipulate the cellular NADH/NAD+ ratio. We found that LbNOX expression in Drosophila impacts both NAD(H) and NADP(H) metabolites in a sex-specific manner. LbNOX rescues neuronal cell death induced by the expression of mutated alpha-B crystallin in the Drosophila eye, a widely used system to study reductive stress. Utilizing LbNOX, we demonstrate that targeting redox NAD metabolism in different tissues may have drastically different outcomes, as the expression of LbNOX solely in the muscle is much more effective for rescuing paraquat-induced oxidative stress compared to whole-body expression. Excitingly, we demonstrate that perturbing NAD(P) metabolism in non-neuronal tissues is sufficient to rejuvenate sleep profiles in aged flies to a youthful state. In summary, we used xenotopic tool LbNOX to identify tissues and metabolic processes which benefited the most from the modulation of the NAD metabolism thereby highlighting important aspects of rebalancing the NAD and NADP pools, all of which can be translated into novel designs of NAD-related human clinical trials. Significance statementTotal levels of NAD decline with age in a tissue-specific manner, thereby playing a significant role in the aging process. Supplementation with NAD precursors boosts organismal NAD levels but cannot determine tissue-specific effects of altered NAD metabolism. Here, we created transgenic Drosophila expressing a genetically encoded xenotopic tool, LbNOX, to directly manipulate NAD metabolism. We demonstrate that targeting NAD metabolism in just one tissue may be more effective than altering whole-body metabolism and can reverse some aging-related manifestations in a sex-specific manner. We anticipate that our work will define the tissues that benefit the most from targeting NAD metabolism and aid in designing better human clinical trials.

synthetic biology↗

A comprehensive spatiotemporal map of dystrophin isoform expression in the developing and adult human brain

Mutations in the dystrophin gene (DMD) cause the severe muscle-wasting disease Duchenne Muscular Dystrophy (DMD). Additionally, there is a high incidence of intellectual disability and neurobehavioural comorbidities in individuals with DMD. Similar behavioural abnormalities are found in mdx dystrophic mouse models. Unlike muscle, several dystrophin isoforms are expressed in the human brain, but a detailed map of regional and cellular localisation of dystrophin isoforms is missing. This is crucial in understanding the neuropathology of DMD individuals, and for evaluating the translatability of pre-clinical findings in DMD mouse models receiving genetic therapy interventions. Here, we provide a comprehensive dystrophin expression profile in human brains from early development to adulthood. We reveal expression of dp427p2, dp427c, dp427m and dp40 isoforms in embryonic brains, not previously reported. Dp427p2 and dp140 were greatly downregulated in adult brains, although the latter continued to be expressed across several regions. Importantly, we demonstrate for the first-time expression of DMD transcripts in human motor neurons and co-expression of different dystrophin isoforms within single neurons in both developing and adult brains. Finally, we show localisation of DMD transcripts with GAD1+ GABAergic-associated transcripts in neurons including cerebellar Purkinje cells and interneurons, as well as in the majority of neocortical and hippocampal SLC17A7+ glutamatergic neurones, suggesting a role for dystrophin in signalling at the neuronal inhibitory and excitatory synapses. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=178 HEIGHT=200 SRC="FIGDIR/small/629620v1_ufig1.gif" ALT="Figure 1"> View larger version (70K): org.highwire.dtl.DTLVardef@1dda96corg.highwire.dtl.DTLVardef@19e133corg.highwire.dtl.DTLVardef@100e8c5org.highwire.dtl.DTLVardef@b1ef77_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Disruptive changes in tissue microenvironment prime oncogenic processes at different stages of carcinogenesis in lung

Carcinogenesis is characterized not only by the uncontrolled growth of malignant cells but also by the disruption of the normal balance of cellular processes and intercellular interactions in the microenvironment that overcome the constraints of tissue homeostasis and support malignant growth. We profiled benign pulmonary dysplasia, carcinoma in situ, and invasive lung carcinomas at single-cell resolution to identify composite changes in cellular processes, signaling, and interactions among tumor-immune-stromal cells in the microenvironment in progressively advanced disease stages. We developed OncoTerrain, a hyperparameter-tuned model that captured synergistic multimodal signatures of an increasingly perturbed microenvironment in malignant disease stages and identified composite microenvironmental changes that supported cancer hallmarks. Key cancer-related changes in transcriptional states, cellular processes, and intercellular interactions involving immune, fibroblast, and stromal cell types preceded tumor initiation and were often synergistic. The microenvironment of increasingly malignant tissues was characterized by immune avoidance, ECM remodeling, and altered cell mobility. There were changes in cell states in fibroblasts, macrophages, and their inter-cellular interactions with other cell types, whereas T-cell activation occurred late. The in-situ carcinomas showed variations in the composite microenvironmental states that corroborated their pathology, which was not apparent at the genome level. A subset of those harbored populations of tumor and non-tumor cells with aggressive characteristics in some but not all aspects of hallmarks of carcinogenesis in the lung. We suspect that the variation in the coordination of microenvironmental cues may influence why some but not all in-situ tumors progress to the advanced stages.

genomics↗

Deconstructing evolutionary histories of complex genomic rearrangements in lung malignancies

Somatic genomic rearrangements are hallmarks of cancer. Complex genomic rearrangements (CGRs) involving multiple intertwined structural alterations are often present in tumor genomes. CGRs frequently harbor oncogenic drivers, but their genomic architectures and etiologies are poorly understood. We used deep-coverage optical mapping technology to profile the genomic landscapes of normal lung tissues, benign pulmonary lesions, carcinoma in situ, and advanced carcinomas to examine the patterns of genome disorganization and instability in different stages of carcinogenesis in lung. Large rearrangements and CGRs were prevalent in the carcinomas. We developed omcplR to resolve the architecture of CGRs and predict their genesis from optical mapping data using genome-graph concept. We found that CGRs often arose from hierarchical combinations of multiple, localized simple structural variations, and harbored allelic heterogeneity at the affected loci. Rearrangement patterns and associated genomic signatures suggested that chromoanasynthesis was a likely prevalent mechanism driving complex genomic rearrangements. The early rearrangement junctions in intra-chromosomal CGRs were usually localized within the same chromatin domains, but the late junctions in advanced tumors had more heterogeneous contexts suggesting progressive organizational heterogeneity. The CGRs, especially the late events therein were under positive selection. A composite signature of genomic alterations including the CGRs captured the trajectory of progressive genomic disorganization and instability with carcinogenesis in lung and underscored the extent of genomic structural heterogeneity among the in-situ tumors.

genomics↗

Ectopic FVIII expression and misfolding in hepatocytes as a potential cause of human hepatocellular carcinoma

Hemophilia A gene therapy targets hepatocytes to express B domain deleted-(BDD) clotting factor VIII (FVIII) to permit viral encapsidation. Since BDD is prone to misfolding in the endoplasmic reticulum (ER) and ER protein misfolding in hepatocytes followed by high fat diet (HFD) can cause hepatocellular carcinoma (HCC), we studied how FVIII misfolding impacts HCC development using hepatocyte DNA delivery to express three proteins from the same parental vector: 1) well-folded cytosolic dihydrofolate reductase (DHFR); 2) BDD-FVIII, which is prone to misfolding in the ER; and 3) N6-FVIII which folds more efficiently than BDD-FVIII. One week after DNA delivery, when FVIII expression was undetectable, mice were fed HFD for 65 weeks. Remarkably, all mice that received BDD-FVIII vector developed liver tumors, whereas only 58% of mice that received N6 and no mice that received DHFR vector developed liver tumors, suggesting that the degree of protein misfolding in the ER increases predisposition to HCC in the context of a HFD and in the absence of viral transduction. Our findings raise concerns of ectopic BDD-FVIII expression in hepatocytes in the clinic, which poses risks independent of viral vector integration. Limited expression per hepatocyte and/or use of proteins that avoid misfolding may enhance safety. Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

cancer biology↗

Non-genetic intra-tumor heterogeneity is a major predictor of phenotypic heterogeneity and ongoing evolutionary dynamics in lung tumors

Impacts of genetic and non-genetic intra-tumor heterogeneity (ITH) on tumor phenotypes and evolvability remain debated. We analyzed ITH in lung squamous cell carcinoma (LUSC) at the levels of genome, transcriptome, tumor-immune interactions, and histopathological characteristics by multi-region profiling and using single-cell sequencing data. Overall, in LUSC genomic heterogeneity alone was a weak indicator of intra-tumor non-genetic heterogeneity at immune and transcriptomic levels that impacted multiple cancer-related pathways including those related to proliferation and inflammation, which in turn contributed to intra-tumor regional differences in histopathology and subtype classification. Genome, transcriptome, and immune-level heterogeneity influenced different aspects of tumor evolution. Tumor subclones had substantial differences in proliferation score, suggestive of non-neutral clonal dynamics. Scores for proliferation and other cancer-related pathways also showed intra-tumor regional differences, sometimes even within the same subclones. Neo-epitope burden negatively correlated with immune infiltration, indicating potential immune-mediated purifying selection on acquired mutations in these tumors. Taken together, our observations suggest that non-genetic heterogeneity is a major determinant of heterogeneity in histopathological characteristics and impacts evolutionary dynamics in lung cancer.

cancer biology↗