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Mathew, G.

Publications and source records attributed to Mathew, G..

6 recordsLinked to original sources

A Multi-Kinase Inhibitor Screen Identifies mTOR Signaling as a Vulnerability in Advanced Prostate Cancer.

The receptor tyrosine kinase AXL has context-dependent roles in prostate cancer (PCa). Although AXL signaling has been implicated in PCa progression, it can also promote disseminated tumor cell dormancy. Paradoxically, AXL expression has been reported to be lost in metastatic PCa. This raises two critical questions: Is AXL loss associated with aggressive disease, and does it create therapeutically exploitable vulnerabilities? In this study, we comprehensively analyzed AXL expression across pan-cancer and PCa cohorts and found that AXL downregulation was significantly associated with treatment resistance, aggressive PCa phenotypes, and shorter overall survival. To investigate the functional consequences of AXL loss, we used CRISPR-Cas9 based gene editing to generate isogenic AXLKO cells and characterized their proliferative and migratory properties. To identify therapeutically exploitable vulnerabilities associated with AXL loss, we screened these cells against a library of 1,814 kinase inhibitors using the isogenic cell lines. We identified Torin-2 as a candidate therapeutic agent and validated its activity using dose-response assays, which demonstrated an ~ 18-fold lower IC50 in AXLKO cells than in AXLWT cells. In parallel, PRISM/DepMap analysis provided orthogonal evidence of drug dependencies associated with low AXL expression and revealed a selective vulnerability of AXLKO cells to PI3K/AKT/mTOR pathway inhibition. Collectively, our findings link AXL downregulation to aggressive PCa phenotypes and identify mTOR inhibition as a potential therapeutic strategy for AXL-deficient PCa.

cancer biology↗

An Immunocompetent Mouse Model of Degarelix Induced Chemical Castration to Investigate Acquired Resistance to Androgen Deprivation.

Prostate cancer (PC) remains a significant health concern as the second leading cause of cancer-related death in American men. Androgen deprivation therapies represent the standard of care for patients with PC, regardless of disease stage. Gonadotropin-releasing hormone (GnRH) antagonists, such as Degarelix, are commonly used hormone therapies for PC and work by suppressing testosterone production. Previous studies indicate a prostate involution-regeneration cycle following surgical castration and testosterone addback. However, whether a similar response occurs following pharmacologic androgen deprivation with agents such as Degarelix remains poorly understood. In particular, the temporal dynamics of prostate involution and subsequent regeneration after chemical castration have not been systematically defined. Our study utilizes immunocompetent mouse models to evaluate the systemic and temporal effects of Degarelix treatment and determine its efficacy in suppressing PC tumor growth. We show that continuous Degarelix treatment significantly suppressed systemic testosterone levels in mice, whereas testosterone levels returned to physiological baseline following Degarelix withdrawal. Gross anatomical, H&E, and Trichrome analyses demonstrated that Degarelix induced castration resulted in prostate involution, characterized by reduced gland size and increased stromal remodeling. This phenotype was reversed after Degarelix withdrawal, highlighting the reversibility of pharmacological androgen deprivation. Immunofluorescence staining revealed changes in basal and luminal epithelial cell populations within the prostatic gland, indicating changes in prostate glandular architecture following Degarelix induced castration and subsequent regeneration. Next, we evaluated the impact of chemical castration on PC tumor growth. Although Degarelix initially suppressed tumor growth, this response was not sustained through the study endpoint, suggesting the emergence of acquired resistance to androgen deprivation. These findings establish this immunocompetent model as a physiologically relevant platform for dissecting the mechanisms that drive therapeutic resistance and tumor progression following androgen deprivation. Our findings highlight the effectiveness of chemical castration with Degarelix and establish a robust model to study both therapeutic responses and the emergence of castration resistance in PC.

cancer biology↗

An Integrated Preclinical Platform for Lethal Neuroendocrine Prostate Cancer from Rapid Autopsy Bone and Liver Metastases.

Treatment-emergent neuroendocrine prostate cancer (NEPC) is an aggressive, therapy-resistant disease arising in up to 20% of castration resistant prostate cancers, yet robust biologically relevant preclinical models remain scarce. Here, we describe a technical blueprint for establishing an integrated platform of patient-derived models from visceral and bone metastases collected through a prostate cancer rapid autopsy program (PC RAP). We report the establishment and characterization of patient-derived xenograft (PDX) models from liver metastasis tissue, liver and bone metastasis-derived organoid lines (PDOs), and corresponding patient-derived organoid xenograft (PDOX) models. In addition, we established, to our knowledge, the first mesenchymal stem cell (MSC) cultures derived from neuroendocrine prostate cancer (NEPC) bone metastases. The PDOs preserved intratumoral heterogeneity, displaying both CRPC-NE and CRPC-adenocarcinoma features. These organoids retained neuroendocrine identity across multiple passages, with transcriptomic profiles concordant with the original patient tissue and matched PDX models generated at our institution and at the National Cancer Institute (NCI Patient-Derived Models Repository). To model the bone metastatic microenvironment, we generated novel organoid-based New Approach Methodologies (NAMs) by co-culturing PDOs with iPSC-derived bone marrow organoids, establishing a physiologically relevant vascularized organotypic model of PC bone metastasis. To extend our studies in vivo, we established preclinical models using the liver and bone metastasis-derived organoid models. The PDOX models were tumorigenic and developed spontaneous lymph node metastases, providing clinically relevant models for investigating lethal NEPC biology. Together, these complementary patient-derived models provide a robust and versatile platform for investigating NEPC biology, metastatic progression, and evaluating new therapeutic strategies. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=184 SRC="FIGDIR/small/740121v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@1c641f1org.highwire.dtl.DTLVardef@113696aorg.highwire.dtl.DTLVardef@16dcc72org.highwire.dtl.DTLVardef@1898d9f_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LINovel preclinical models of visceral and bone metastases established from a prostate cancer rapid autopsy program. C_LIO_LIThis study is the first to establish mesenchymal stem cell cultures from NEPC bone metastases. C_LIO_LIPDOs preserve heterogeneity, showing both CRPC-NE and CRPC-Adeno features, with transcriptomic profiles concordant with originator tissue and PDX models. C_LIO_LIPC RAP-derived organoids are tumorigenic in vivo and generate spontaneous lymph node metastases. C_LI

cancer biology↗

Dynamic evolution of cervical cancer mutations during chemoradiation using novel sampling approach

ObjectiveThe aim of this study was to validate a whole exome sequencing approach to longitudinally characterize the tumor mutational profile of cervical cancer patients undergoing chemoradiation (CRT). Experimental DesignCervical cancer tumor specimens from twenty-seven patients undergoing chemoradiation were collected before and throughout CRT and whole exome sequencing (WES) was performed to characterize individual mutations and alterations in unique genes. WES data were analyzed from cervical cancer patients in The Cancer Genome Atlas (TCGA) as a comparison group. ResultsOver 93% of mutated genes detected at baseline were present in TCGA. Tumor purity from collected swabs correlated with MRI tumor volumes during the course of treatment (R2=0.969). CDK4/CDK6/cyclin D1-related gene mutations involved in the ERK1/2, p16INK4, and p53 pathway and G1/S checkpoint most commonly persisted at the end of CRT. ConclusionThis non-invasive swab technique to serially sample tumor during CRT will allow new discoveries of dynamic tumor mutational profile changes during chemoradiation for mucosal tumors. Mutations that survived or increased during the initial weeks of radiation treatment are potential drivers of radiation resistance including the CDL4/CDK6/cyclin D1-related pathway. Statement of Translational RelevanceThere are no established biomarkers to predict chemoradiation (CRT) response for cervical cancer patients. Serial biopsies cannot be performed due to risks of bleeding and fistula. We used a novel non-invasive swab-based biopsy technique to obtain serial samples from a cohort of twenty-seven patients through the course of treatment, and validated this approach to obtain whole exome sequencing data. We analyzed dynamic tumor mutation profiles during CRT. Results from this study show that mutations in CDK4/CDK6/cyclin D1-related genes increased at the end of CRT, suggesting this pathway as a potential driver of radiation resistance.

cancer biology↗

Genetic Risk Factors for Colorectal Cancer in Multiethnic Indonesians

PurposeColorectal cancer is a common cancer in Indonesia, yet it has been understudied. We conduct a genome-wide association study focused on evaluation and discovery of colorectal cancer risk factors in Indonesians.\n\nMethodsWe administered detailed questionnaires and collecting blood samples from 162 colorectal cancer cases throughout Makassar, Indonesia. We also established a control set of 193 healthy individuals frequency matched by age, sex, and ethnicity. A genome-wide association analysis was performed on 84 cases and 89 controls passing quality control. We evaluated known colorectal cancer genetic variants using logistic regression and established a genome-wide polygenic risk model using a Bayesian variable selection technique.\n\nResultsWe replicate associations for rs9497673, rs6936461 and rs7758229 on chromosome 6; rs11255841 on chromosome 10; and rs4779584, rs11632715, and rs73376930 on chromosome 15. Polygenic modeling identified 10 SNP associated with colorectal cancer risk.\n\nConclusionsThis work helps characterize the relationship between variants in the SCL22A3, SCG5, GREM1, and STXBP5-AS1 genes and colorectal cancer in a diverse Indonesian population. With further biobanking and international research collaborations, variants specific to colorectal cancer risk in Indonesians will be identified.

genomics↗

Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells

We describe the rapid and reproducible acquisition of quantitative proteome maps for the NCI-60 cancer cell lines and their use to reveal cancer biology and drug response determinants. Proteome datasets for the 60 cell lines were acquired in duplicate within 30 working days using pressure cycling technology and SWATH mass spectrometry. We consistently quantified 3,171 proteotypic proteins annotated in the SwissProt database across all cell lines, generating a data matrix with 0.1% missing values, allowing analyses of protein complexes and pathway activities across all the cancer cells. Systematic and integrative analysis of the genetic variation, mRNA expression and proteomic data of the NCI-60 cancer cell lines uncovered complementarity between different types of molecular data in the prediction of the response to 240 drugs. We additionally identified novel proteomic drug response determinants for clinically relevant chemotherapeutic and targeted therapies. We anticipate that this study represents a significant advance toward the translational application of proteotypes, which reveal biological insights that are easily missed in the absence of proteomic data.

systems biology↗