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Biology subjects

Desai, K.

Publications and source records attributed to Desai, K..

14 recordsLinked to original sources

Metabolic rewiring induces a viral mimicry-mediated quiescence in glioblastoma

Glioblastoma is a highly aggressive brain tumour driven by therapy-resistant glioblastoma stem cells (GSCs) that switch between dormant and proliferative states through poorly defined programs. In this study, we identify SAT1, encoding the rate-limiting polyamine-catabolic enzyme SSAT1, as enriched in quiescent GSCs, linking metabolic rewiring to dormancy. Pharmacologic induction of SSAT1 with the polyamine analogue N1,N11-Diethylnorspermine (DENSpm) triggers a chemoprotective, reversible growth arrest in patient-derived GSCs, independent of stemness, differentiation or senescence. SAT1-induced dormancy coincides with reduced eIF5A hypusination and global protein translation, and a marked rise in double-stranded RNA that activates type I interferon signalling. Knocking down the mitochondrial antiviral-signalling protein, essential for antiviral innate immunity, partially reverses this growth arrest, establishing viral mimicry as functionally required for dormancy. Single-cell and cohort analyses across GSCs and neural stem cells demonstrate that susceptibility to metabolically induced quiescence is set by an intrinsic inflammatory tone and lysosomal dependency, defining a context-dependent metabolic-immune axis which can be targeted to prevent GBM progression.

cancer biology↗

Convergence on BRAF and MAPK Signaling in Glioma Development in a P53-ENU model

Pediatric high-grade gliomas (HGGs) are aggressive and lethal brain tumors that account for 15- 20% of all pediatric central nervous system (CNS) malignancies and remain largely incurable. These tumors, despite having mutational targets that activate MAPK signaling, are frequently resistant to targeted therapies in their malignant states, but often show responses when they are in lower grade form. These findings suggest a need to identify and intercept early tumorigenic events that arise in earlier tumor developmental stages. To investigate the molecular events in glioma progression, we developed and characterized a NestinCre/+;Trp53fl/fl mouse model combined with in utero exposure to the classic chemical mutagen N-ethyl-N-nitrosourea (ENU). This model mimics the context of genetic predisposition paired with an environmental genotoxic insult, and mice with loss of TRP53 in early neural precursors who are exposed to ENU at embryonic day 13.5 reproducibly develop HGGs postnatally that retain features of the human tumors. By sampling discrete lesions at premalignant, early, and late stages, we observed progressive increases in genetic complexity, stemness features, and immune signatures across tumor evolution. Notably, a recurrent Braf mutation emerged in a majority of early lesions and persisted in advanced tumors, consistent with the occurrence of BRAFV600E mutations in human gliomas that arise in children and undergo transition from lower grade to higher grade stages. Additional components of the RAS-RAF-MAPK signaling cascade, including Kras, Nras and Nf1 were found to be mutated at the late tumor stage, indicating convergent activation of this pathway in this model. Cell lines derived from early lesions responded to BRAF inhibitors, but cells from endpoint tumors were less responsive. Together, this model reveals aspects of the molecular and cellular evolution of glioma development in vivo, and identifies RAS-MAPK signaling as a critical molecular bottleneck selected for the ENU-induced mutations. This genetic-environmental model may be valuable to understanding key determinants of glioma initiation and progression, and for evaluating new therapies that limit MAPK signaling.

cancer biology↗

AMICI: Attention Mechanism Interpretation of Cell-cell Interactions

Spatial transcriptomic data enable study of cell-cell communication, yet current analysis tools often fail to provide dynamic, interpretable estimates of interactions and their spatial range across tissue. We present AMICI, an interpretable attention framework that jointly estimates interaction length scales, adaptively resolves sender-receiver subpopulations, and links communication to downstream gene programs. AMICI recovers ground-truth interactions in semi-synthetic data, uncovers gene programs linked to cell communication in the mouse cortex, and reveals length-scale-dependent tumor-immune signaling that reinforces estrogen receptor (ER) programs in breast cancer.

bioinformatics↗

Systematic identification and characterization of regulators of aryl hydrocarbon receptor signaling

The human aryl hydrocarbon receptor (AHR) integrates chemical signals derived from the environment, gut microbes, and endogenous sources to regulate processes ranging from intestinal barrier integrity to xenobiotic detoxification. Despite strong evidence that dysregulation of AHR signaling is a causal factor in metabolic and autoimmune disorders, we currently lack a comprehensive understanding of the factors that regulate AHR activity in human cells. Here, we use genome-scale CRISPR screening to systematically identify regulators of AHR signaling in hepatocytes. The resulting datasets recapitulate the core AHR signaling pathway and identify a large network of regulators. Many of these factors have roles beyond AHR signaling, reflecting that AHR signaling is deeply integrated into human cell biology. We further dissect this network to reveal novel modes of regulation of AHR expression, protein levels, and signaling. For example, we find that the E3 ubiquitin ligase UBR5 sustains AHR signaling by counteracting degradation of ligand-bound AHR. Finally, we identify components of the AHR regulatory network that are specific to cell types and ligands as potential nodes to manipulate AHR signaling in a targeted manner for therapeutic benefit. Overall, our results define the regulatory network that underpins AHR activation, with implications for our understanding of host-microbe interactions and integrative chemosensation and the etiology of metabolic and inflammatory disorders.

genomics↗

Gender-specific MetS prediction using pathophysiological determinants: Beyond diagnostic constraints

Metabolic syndrome (MetS), constituted by obesity, hyperglycemia, hypertension, and dyslipidemia, is a growing public health concern due to its associated risk with cardiovascular and other metabolic disorders. Early-stage detection and prevention of MetS are key factors in an effective management strategy. Thus, the current study aimed to develop a risk score for MetS progression based on features pertaining to its pathophysiology, that can facilitate early detection and treatment strategies. A multivariate logistic regression model was developed using a representative feature from MetS pathophysiological pathways of inflammation, endothelial dysfunction, and hepatic dysregulation. The model was built on NHANES dataset and validated in Chinese and Indian datasets. The model performance evaluated using ROC resulted in an AUC of 0.81 in training and 0.87 and 0.79 for Chinese and Indian validation datasets, respectively. In conclusion, a MetS predictive model built on three MetS pathophysiological determinants was developed and validated in distinct datasets. HighlightsO_LIA MetS prediction model, trained on NHANES data, is validated with two datasets of varied ethnicity. C_LIO_LIThe three parameter model, independent of MetS diagnostic criteria, is reflective of inflammation, endothelial dysfunction, and hepatic dysregulation. C_LIO_LIThe model achieved an AUC of 0.81 in NHANES data; 0.87 and 0.79 for Chinese and Indian validation datasets respectively. C_LI

bioinformatics↗

PD-L1 expression is mediated by microRNA processing, Wnt/β-catenin signaling, and chemotherapy in Wilms tumor

Inhibition of immune checkpoint proteins is effective in adult cancers but has shown limited efficacy in pediatric cancers. While factors regulating expression of immune checkpoint proteins such as PD-L1 are well-documented in adult cancers, their regulation is poorly understood in pediatric cancers. Here, we show that PD-L1 is upregulated in distinct subsets of Wilms tumor, the most common pediatric kidney cancer. Specifically, chemotherapy-exposed Wilms tumor specimens exhibited higher levels of PD-L1 expression, and common chemotherapeutics upregulated PD-L1 in childhood cancer cell lines in vitro. Furthermore, mutations in CTNNB1 and DROSHA, the two most commonly mutated genes in Wilms tumor, correlated with higher PD-L1. Activation of Wnt/{beta}-catenin signaling and knockdown of DROSHA or DICER1 both increase PD-L1 in vitro. Lastly, in adult cancers, DICER1 alterations are associated with immune gene expression signatures and improved survival in response to immune checkpoint inhibitors. Together, our results identify clinical and biological properties regulating PD-L1 in Wilms tumor that may inform precision therapy approaches in pediatric immuno-oncology.

cancer biology↗

A screening setup to streamline in vitro Engineered Living Material cultures with the host

Engineered living materials (ELMs), which usually comprise bacteria, fungi, or animal cells entrapped in polymeric matrices, offer limitless possibilities in fields like drug delivery or biosensing. To determine the conditions that sustain ELM performance while ensuring ELM-host compatibility is essential before testing them in vivo. This is critical to reduce animal experimentation and can be achieved through in vitro investigations. Towards this goal, we designed a 96-well plate-based screening method to streamline ELM growth across culture conditions and determine their compatibility potential in vitro. We showed proliferation of three bacterial species encapsulated in hydrogels over time and screened six different cell culture media. We fabricated ELMs in bilayer and monolayer formats and tracked bacterial leakage. After screening, an appropriate medium was selected that sustained growth of an ELM, and it was used to study cytocompatibility in vitro. ELM cytotoxicity on murine fibroblasts and human monocytes was studied by adding ELM supernatants and measuring cell membrane integrity and live/dead staining, respectively, proving ELM cytocompatibility. Our work illustrates a simple setup to streamline the screening of compatible environmental conditions of ELMs with the host.

bioengineering↗

An imbalance between proliferation and differentiation underlies the development of microRNA-defective pineoblastoma

Mutations in the microRNA processing genes DICER1 and DROSHA drive several cancers that resemble embryonic progenitors. To understand how microRNAs regulate tumorigenesis, we ablated Drosha or Dicer1 in the developing pineal gland to emulate the pathogenesis of pineoblastoma, a brain tumor that resembles undifferentiated precursors of the pineal gland. Accordingly, these mice develop pineal tumors marked by loss of microRNAs, including the let-7/miR-98-5p family, and de-repression of microRNA target genes. Pineal tumors driven by loss of Drosha or Dicer1 mimic tumors driven by Rb1 loss, as they exhibit upregulation of S-phase genes and homeobox transcription factors that regulate pineal development. Blocking proliferation of these tumors facilitates expression of pinealocyte maturation markers, with a concomitant reduction in embryonic markers. Select embryonic markers remain elevated, however, as the microRNAs that normally repress these target genes remain absent. One such microRNA target gene is the oncofetal transcription factor Plagl2, which regulates expression of pro-growth genes, and inhibiting their signaling impairs tumor growth. Thus, we demonstrate that tumors driven by loss of microRNA processing may be therapeutically targeted by inhibiting downstream drivers of proliferation.

cancer biology↗

Androgen blockade primes NLRP3 in macrophages to induce tumor phagocytosis

Immune-based therapies induce durable remissions in subsets of patients across multiple malignancies. However, there is limited efficacy of immunotherapy in metastatic castrate-resistant prostate cancer (mCRPC), manifested by an enrichment of immunosuppressive (M2) tumor- associated macrophages (TAM) in the tumor immune microenvironment (TME). Therefore, therapeutic strategies to overcome TAM-mediated immunosuppression are critically needed in mCRPC. Here we discovered that NLR family pyrin domain containing 3 (NLRP3), an innate immune sensing protein, is highly expressed in TAM from metastatic PC patients treated with standard-of-care androgen deprivation therapy (ADT). Importantly, ex vivo studies revealed that androgen receptor (AR) blockade in TAM upregulates NLRP3 expression, but not inflammasome activity, and concurrent AR blockade/NLRP3 agonist (NLRP3a) treatment promotes cancer cell phagocytosis by immunosuppressive M2 TAM. In contrast, NLRP3a monotherapy was sufficient to enhance phagocytosis of cancer cells in anti-tumor (M1) TAM, which exhibit high de novo NLRP3 expression. Critically, combinatorial treatment with ADT/NLRP3a in a murine model of advanced PC resulted in significant tumor control, with tumor clearance in 55% of mice via TAM phagocytosis. Collectively, our results demonstrate NLRP3 as an AR-regulated "macrophage phagocytic checkpoint", inducibly expressed in TAM by ADT and activated by NLRP3a treatment, the combination resulting in TAM-mediated phagocytosis and tumor control.

cancer biology↗

Comprehensive genome editing confers "off-the-shelf" CAR-T cells superior efficacy against solid tumors

Biochemical and immunological negative regulators converge to inhibit tumor-reactive Chimeric Antigen Receptor T (CAR-T) cells, which may explain clinical failures of CAR-T cell therapies against solid tumors. Here, we developed a multifaceted approach to genetically engineer allogeneic ( off -the-shelf) CAR-T cells resistant to both biochemical (adenosine) and immunological (PD-L1 and TGF-{beta}) inhibitory signaling. We multiplexed an adenine base editor with a CRISPR-Cas12b nuclease to manufacture a CAR-T cell product comprising six gene edits to evade allorejection (B2M, CIITA), prevent graft-versus-host disease (CD3E) and resist major biochemical (ADORA2A) and immunological (PDCD1, TGFBR2) immunosuppressive barriers in solid tumors. Combinatorial genetic disruption in CAR-T cells enabled superior anti-tumor efficacy leading to improved tumor elimination and survival in humanized mouse models that recapitulated the suppressive features of a human tumor microenvironment (TME). This novel engineering strategy conferred CAR-T cells resistance to a diverse TME, which may unlock the therapeutic potential of CAR-T cells against solid tumors. One Sentence SummaryMultiplex genome engineered CAR-T cells resistant to allorejection and the convergence of biochemical and immunological negative regulators within the tumor microenvironment exhibit superior efficacy against solid tumors.

cell biology↗

Context-specific GITR agonism potentiates anti-PD-L1 and CD40-based immuno- chemotherapy combination in heterogeneous pancreatic tumors

Immunotherapy has shown limited success in pancreatic adenocarcinoma (PDAC) patients. To improve clinical management of cancer, it is crucial to identify alternative immunostimulatory targets associated with mechanisms of tumor evolution to facilitate the development of novel combination immunotherapies. Here we categorized PDACs and other cancers (n>7,500) into subgroups based on immunostimulatory glucocorticoid-induced tumor necrosis factor receptor (TNFR)-related ligand (GITRL) and receptor (GITR) expression: GITRLhigh+GITRhigh and GITRLhigh/low+GITRlow. We characterized immune evasion mechanisms using immunotherapy preclinical trials in four representative immunocompetent mouse models, finding that the GITR agonist, DTA-1 significantly improved responses in GITRLhigh(+GITRhigh) tumors (n=2). Further characterization revealed increased activation of CD8+ T-cells (but not T-regulatory; Tregs cells) and enhanced interferon-{gamma}, immunoproteosome, antigen presentation, and T-cell receptor (TCR) gene expression in DTA-1 responders. In vivo clonal tracking using DNA barcoding showed that GITR agonist therapy significantly reduced tumor burden by targeting expansion of heterogeneous PDAC clones and not clone-initiating cells (representing potential resistance). However, emerging GITRLhigh+GITRhigh epithelial-like oligoclones from the responder model escaped immune surveillance to GITR agonist treatment via increased PD-L1, offering a combined anti-PD-L1, CD40 agonist and DTA-1 immunotherapy regimens (with/without chemotherapy) that further improved responses by decreasing PD-L1+ myeloid cells. Conversely, mesenchymal-enriched GITRLlow models exhibited primary (intrinsic) resistance to GITR agonist treatment due to reduced T-cells and increased myeloid and/or PD-L1+ non-immune cells. These results provide pre-clinical context for GITR+PD-L1+CD40- based personalized immuno-chemotherapy combinations for PDAC.

cancer biology↗

A comprehensive analysis of immune landscape of Indian triple negative breast cancer

BackgroundTriple-negative breast cancer (TNBC) is a heterogeneous disease with a significant clinical challenge. TNBC alarmingly comprises 25-30% of breast cancers in India compared with only 10-15% in the West. However, immunotherapy was approved for high-risk early-stage TNBCs in the West. Hence, a long-standing question is whether Indian TNBCs immunologically and clinically resemble Western TNBCs such that they respond similarly to immunotherapies. Here we sought to elucidate the immune landscape of Indian TNBCs for the first time, compare them to Western disease and associate them with clinical parameters, cellular types/signaling, and immunotherapy response. MethodsWe profiled 730 immune genes in 88 retrospective Indian TNBC samples using NanoString platform, clustered them into subtypes using a machine-learning approach, and compared them with Western TNBCs (n=422; public datasets). Subtype-specific gene signatures were identified, followed by clinicopathological, immune cell type, and pathway (multiomics) analyses. We also assessed responses to (cross-cancer) immunotherapy. Tumor-infiltrating lymphocytes (TILs) and pan-macrophage marker were evaluated using hematoxilin-eosin staining and immunohistochemistry, respectively. ResultsWe identified three robust and similarly distributed TNBC immune transcriptome subtypes (Subtypes-1-3) in Indian women, and they are represented correspondingly in Western TNBCs and associated with well-known TNBC subtypes. Irrespective of the ethnicity, Subtype-1 harbored tumor microenvironmental and anti-tumor immune events associated with smaller tumors, younger age, and a better prognosis. Subtype-1 mainly represented basal-like/claudin-low breast cancer and immunomodulatory TNBC subtypes. Subtype-1 showed an increase in a cascade of events, including damage-associated molecular patterns, acute inflammation, Th1 responses, T-cell receptor-related and chemokine-specific signaling, antigen presentation, and viral-mimicry pathways. Subtype-1 was significantly (p<0.05) associated with pre-menopausal women, dense TILs and responses and/or improved prognosis to anti-PD-L1 and MAGEA3 immunotherapies. Subtype-2 was enriched for Th2/Th17 responses, CD4+ regulatory cells, basal-like/mesenchymal subtypes, and an intermediate prognosis. Subtype-3 patients expressed innate immune genes/proteins, including those representing macrophages and neutrophils, and had poor survival. ConclusionWe identified three immune-specific TNBC subtypes in Indian patients with differential clinical and immune behaviors, which largely overlapped with the Western TNBC cohorts. This study suggests cancer immunotherapy in TNBC may work similarly in both populations. Hence, this may expedite pharmaceutical adoption of immunotherapy to Indian TNBC patients.

cancer biology↗

Consistent measurement of LAG-3 expression across multiple staining platforms with the 17B4 antibody clone

ContextAn immunohistochemistry (IHC) assay developed to detect lymphocyte-activation gene 3 (LAG-3), a novel immune checkpoint inhibitor target, has demonstrated high analytical precision and interlaboratory reproducibility using a Leica staining platform, but has not been investigated on other IHC staining platforms. ObjectiveTo evaluate the performance of LAG-3 IHC assays using the 17B4 antibody clone across widely used IHC staining platforms: Agilent/Dako Autostainer Link 48 (ASL-48) and VENTANA BenchMark ULTRA (VBU) compared with Leica BOND-RX (BOND-RX). DesignEighty formalin-fixed paraffin-embedded melanoma tissue blocks were cut into consecutive sections and evaluated using staining platform-specific IHC assays with the 17B4 antibody clone. Duplicate testing was performed on the BOND-RX platform to assess intraplatform agreement. LAG-3 expression using a numerical score was evaluated by a pathologist and with a digital scoring algorithm. LAG-3 positivity was determined from manual scores using a [&ge;] 1% cutoff. ResultsLAG-3 IHC staining patterns and intensities were visually similar across all 3 staining platforms. Pearson correlation was [&ge;] 0.88 for interplatform and BOND-RX intraplatform concordance when LAG-3 expression was evaluated with a numerical score determined by a pathologist. Correlation increased with a numerical score determined with a digital scoring algorithm (Pearson correlation [&ge;] 0.93 for all comparisons). Overall percentage agreement was [&ge;] 77.5% for interplatform and BOND-RX intraplatform comparisons when a [&ge;] 1% cutoff was used to determine LAG-3 positivity. ConclusionsData from this study demonstrate that LAG-3 expression can be robustly and reproducibly assessed across 3 major commercial IHC staining platforms using the 17B4 antibody clone.

pathology↗

SerpinB3 drives cancer stem cell survival in glioblastoma

Despite therapeutic interventions for glioblastoma (GBM), cancer stem cells (CSCs) drive recurrence. The precise mechanisms underlying CSC therapeutic resistance, namely inhibition of cell death, are unclear. We built on previous observations that the high cell surface expression of junctional adhesion molecule-A drives CSC maintenance and identified downstream signaling networks, including the cysteine protease inhibitor SerpinB3. Using genetic depletion approaches, we found that SerpinB3 is necessary for CSC maintenance, survival, and tumor growth, as well as CSC pathway activation. The knockdown of SerpinB3 also increased apoptosis and susceptibility to radiation therapy. Mechanistically, SerpinB3 was essential to buffer cathepsin L-mediated cell death, which was enhanced with radiation. Finally, we found that SerpinB3 knockdown dramatically increased the efficacy of radiation in pre-clinical models. Taken together, our findings identify a novel GBM CSC-specific survival mechanism involving a previously uninvestigated cysteine protease inhibitor, SerpinB3, and provide a potential target to improve the efficacy of standard-of-care GBM therapies against therapeutically resistant CSCs. SummaryLauko et al. demonstrate a functional role for SerpinB3, which is elevated in glioblastoma cancer stem cells and protects against lysosomal-mediated cell death. SerpinB3 can be targeted to increase the efficacy of radiation in glioblastoma pre-clinical models.

cancer biology↗