Biology subjects

Pecot, C. V.

Publications and source records attributed to Pecot, C. V..

8 recordsLinked to original sources

bioRxiv2025

Macrophage-secreted Pyrimidine Metabolites Confer Chemotherapy Resistance in Acute Myeloid Leukemia (AML)

The tumor microenvironment (TME) programs cancer cells to influence therapeutic responses. Macrophages residing in TME switch from pro-phagocytic to tumor-promoting and immunosuppressive phenotypes as cancer develops. While these pro-tumor functions of macrophages are associated with poor outcomes, the underlying mechanisms by which bone-marrow (BM)-associated macrophages fuel myeloid malignancy and their precise contribution to relapse remain undissected. Here, we show expansion of monocyte/macrophage population in leukemia patients post-chemotherapy relapse, and spatial proximity of macrophages to leukemia blasts in the BM niche. This proximity proved functionally consequential--depletion of macrophages delayed leukemia relapse post cytarabine (AraC), a frontline chemotherapy, in patient-derived xenografts (PDX) and syngeneic leukemia models. Mechanistically, a pyrimidine metabolite, deoxycytidine (dC), secreted by BM macrophages, is taken up by leukemia cells to directly inhibit deoxycytidine kinase (DCK) to hamper AraC activation and subsequent resistance in a cell non-autonomous manner. Diagnosis AML patients exhibited significantly higher circulating dC levels than healthy donors, and dC levels further increased following chemotherapy. SAMHD1, which catalyzes deoxynucleoside triphosphates (dNTPs) into deoxynucleoside, was highly abundant in macrophages and mediated dC accumulation. Blockade of dC production in mouse and human macrophages via genetic and pharmacological inhibition of SAMHD1 or DHODH, a critical enzyme in pyrimidine synthesis, restored AraC sensitivity. Combination with DHODH inhibitors significantly delayed AraC relapse in human PDX and mouse syngeneic AML models. Collectively, we identify a metabolic immune-leukemia crosstalk in which SAMHD1high macrophages mediates chemoresistance by secreting pyrimidine metabolites and propose macrophage metabolic reprogramming as a tractable strategy to overcome TME-driven chemoresistance in myeloid leukemia.

cancer biology↗

bioRxiv2025

Isolation Methods of Tumor Endothelial Cells Impact AngiomiR Profiles

MicroRNAs (miRNAs) play an important role in endothelial cell growth and differentiation. Tumor angiogenesis-specific miRNAs (angiomiRs) are a subset of miRNAs that are dyregulated in tumor endothelial cells. Because of the importance of angiogenesis in cancer progression, regulation of angiomiRs may have significant therapeutic implications. However, discovery of angiomiRs has often been limited by biased model systems that may not be valid. Here, we evaluated whether the variable expression levels of angiomiRs in endothelial cells were impacted by the isolation methods used to profile them. Using an autochthonous, genetically engineered mouse model of lung adenocarcinoma, we used Nanostring to profile miRNA expression levels of normal lung endothelial cells (NECs) to tumor endothelial cells (TECs) using two endothelial cell (EC) isolation methods: 1) staining and sorting ECs directly from tumors ("in vivo"), and 2) magnetic bead isolation and sub-cloning ECs ("in vitro"). We then compared candidate angiomiRs with the profiles from two orthotopic, immunocompetent lung cancer models. When TECs were directly enriched from tumors ("in vivo" method), three candidate angiomiRs (miR-30b, miR-1981, and miR-707) were significantly lower in TECs than NECs. In contrast, when ECs were isolated and cultured ("in vitro" method), three different candidate angiomiRs (miR-200a, miR-124 and miR-186) were significantly lower in TECs than NECs. Using two independent model systems for validation, we found miR-30b to be significantly reduced in TECs using freshly sorted ECs. Conversely, the in vitro discovered angiomiR candidates did not validate in these model systems, suggesting that TECs grown in vitro may not maintain relevant angiomiR profiles or serve as an adequate method for molecular profiling. Our findings demonstrate that angiomiR expression patterns are impacted by isolation methods. Instead of relying on ECs cultured in vitro, we suggest careful validation studies of cells freshly collected from tumors before determining whether a miRNA is a bona fide angiomiR.

molecular biology↗

bioRxiv2024

Generating snoRNA-guided Programmable 2'O-methylation

Small nucleolar RNAs (snoRNAs) are critical in guiding post-transcriptional modifications like 2-O-methylation (Nm), which play crucial roles in downstream processes such as splicing and translation. This study tests a novel method for Nm validation, addressing a significant gap in modern Nm research, and offers insight into the intricacies of snoRNA-guided Nm. While mapping of Nm modifications has seen significant improvement within the past decade, no major techniques have been able to validate these potential sites. Additionally, many mapping techniques lack consensus among proposed Nm sites, especially on mRNAs. Without a proper validation technique, Nm research lags compared to its peer post-transcriptional modifications. The RNase H-based Nm-VAQ assay used here quantifies 2-O-methylation at single nucleotide resolution across various RNA species including rRNA, snRNA, and mRNA. Its optimization for mRNA allows for an unprecedented way to study the effects of Nm modifications in low abundance transcripts. Utilizing this, the study also explores the potential of creating synthetic snoRNAs to guide Nm modifications. Exogenous snoRNAs are shown to rescue Nm in genetic knockout models and can be mutated to guide Nm at any location along the target RNA transcript. Preliminary work indicates that synthetic snoRNAs demonstrate the ability to modify luciferase, impacting translation efficiency. Targeting an exon increases mRNA abundance but decreases protein expression, consistent with previous findings on Pxdn mRNA. These findings set the scene for novel understanding of the relationship between snoRNA abundance, 2-O-methylation efficiency, and Nms impact on gene expression.

molecular biology↗

bioRxiv2022

An Integrated Model for Predicting KRAS Dependency

BackgroundThe clinical approvals of KRAS G12C inhibitors has been a revolutionary advance in precision oncology, but response rates are often modest. To improve patient selection, we developed an integrated model to predict KRAS dependency. Methods and FindingsBy integrating molecular profiles of a large panel of cell lines from the DEMETER2 dataset, we built a binary classifier to predict a tumors KRAS dependency. Monte Carlo cross validation via ElasticNet within the training set was used to compare model performance and to tune parameters. The final model was then applied to the validation set. We validated the model with genetic depletion assays and an external dataset of lung cancer cells treated with a G12C inhibitor. We then applied the model to several Cancer Genome Atlas (TCGA) datasets. The final "K20" model contains 20 features, including expression of 19 genes and KRAS mutation status. In the validation cohort, K20 had an AUC of 0.94 and accurately predicted KRAS dependency in both mutant and KRAS wild-type cell lines following genetic depletion. It was also highly predictive across an external dataset of lung cancer lines treated with KRAS G12C inhibition. When applied to TCGA datasets, specific subpopulations such as the invasive subtype in colorectal cancer and copy number high pancreatic adenocarcinoma were predicted to have higher KRAS dependency. ConclusionThe K20 model has simple yet robust predictive capabilities that may provide a useful tool to select patients with KRAS mutant tumors that are most likely to respond to direct KRAS inhibitors.

bioinformatics↗

bioRxiv2022

Periostin+ stromal cells guide lymphovascular invasion by cancer cells

Cancer cell dissemination to the sentinel lymph node associates with poor patient outcomes, particularly in breast cancers. How cancer cells egress the primary tumor upon interfacing with the lymphatic vasculature is complex and driven by dynamic interactions between cancer cells and stromal cells including cancer associated fibroblasts (CAFs). The matricellular protein periostin can distinguish CAF subtypes in breast cancer and is associated with increased desmoplasia and disease recurrence in patients. However, since periostin is secreted, periostin-expressing CAFs are difficult to characterize in situ, limiting our understanding of their specific contribution to cancer progression. Here, we used in vivo genetic labelling and ablation to lineage trace periostin+ cells and characterize their function(s) during tumor growth and metastasis. We report that periostin-expressing CAFs are spatially found at periductal and perivascular margins, are enriched at lymphatic vessel peripheries, and are differentially activated by highly-metastatic cancer cells versus low-metastatic counterparts. Surprisingly, genetically depleting periostin+ CAFs slightly accelerated primary tumor growth but impaired intratumoral collagen organization and inhibited lymphatic, but not lung, metastases. Periostin ablation in CAFs impaired their ability to deposit aligned collagen matrices and inhibited cancer cell invasion through collagen and across lymphatic endothelial cell monolayers. Thus, highly-metastatic cancer cells mobilize periostin-expressing CAFs in the primary tumor site which promote collagen remodeling and collective cell invasion within lymphatic vessels and ultimately to sentinel lymph nodes. Significance StatementMetastatic disease causes the majority of cancer-related deaths but is challenging to treat as it is a complex multi-step process driven by heterotypic cell interactions. Cancer-associated fibroblasts (CAFs) are abundant in most solid tumors and display pro-tumorigenic and pro-metastatic functions, but extensive molecular diversity among CAFs has yielded contradictory results in previous attempts to target this population. Therefore, there is a need to identify markers of CAF subpopulations that promote or inhibit metastasis and functionally characterize them to understand their contributions during tumor progression. Our work identifies a population of CAFs, marked by expression of the matricellular protein periostin, that remodel the ECM to promote the escape of cancer cells into lymphatic vessels thereby driving colonization of proximal lymph nodes.

cancer biology↗

bioRxiv2020

Silencing of oncogenic KRAS by mutant-selective small interfering RNA

Oncogenic mutations in the KRAS gene are well-established drivers of cancer. While the recently developed KRASG12C inhibitors offer a targeted KRAS therapy and have shown success in the clinic, KRASG12C represents only 11% of all KRAS mutations. Current therapeutic approaches for all other KRAS mutations are both indirect and non-mutant-selective, largely focusing on inhibition of downstream KRAS effectors such as MAP kinases. Inhibition of KRAS downstream signaling results in a system-wide down-modulation of the respective targets, raising concerns about systemic cell toxicity. Here, we describe a custom short interfering RNA (siRNA) oligonucleotide (EFTX-D1) designed to preferentially bind mRNA of the most commonly occurring KRAS missense mutations in codons 12 and 13. We determined that EFTX-D1 preferentially reduced the mutant KRAS sequence versus wild-type at the levels of both transcription and translation, and reversed oncogenic KRAS-induced morphologic and growth transformation. Furthermore, EFTX-D1 significantly impaired the proliferation of several KRAS mutant cancer cell lines in 2-D as well as 3-D assays. Taken together, our data indicate a novel use of RNA interference (RNAi) to target oncogenic KRAS-driven cancers specifically.

cancer biology↗

bioRxiv2020

Snord67 promotes lymph node metastasis and regulates U6-mediated alternative splicing in breast cancer

Small nucleolar RNAs (snoRNAs) have long been considered "housekeeping genes", important for ribosomal biogenesis and protein synthesis. However, there is increasing evidence that this largely ignored class of non-coding RNAs (ncRNAs) also have wide-ranging, non-canonical functions in diseases, including cancer. SnoRNAs have been shown to have both oncogenic and tumor suppressor roles, yet whether snoRNAs regulate metastasis is unknown. Here we show that expression of certain snoRNAs are enriched in lymph node (LN) metastases in a micro-surgical, immune-competent mouse model of breast cancer. We identify the snoRNA Snord67 as a key regulator of LN metastasis. Knockout of Snord67 resulted in significantly decreased LN tumor growth and subsequent development of distant metastases. This was associated with loss of targeted 2-O-methylation on the small nuclear RNA U6, a component of the spliceosome. RNA sequencing revealed distinct alternative splicing patterns in Snord67 knockout cells. Using rapid autopsy breast cancer cases, we found that matched human primary tumor and LN metastases revealed similar alternatively spliced genes, including several that are known to contribute to cancer. These results demonstrate that Snord67 is critical for growth of LN metastases and subsequent spread to distant metastases, and suggest that snoRNA-guided modifications of the spliceosome represent a previously unappreciated, yet targetable pathway in cancer.

cancer biology↗

bioRxiv2019

High Capacity poly(2-oxazoline) formulation of TLR 7/8 agonist extends survival in a chemo-insensitive, metastatic model of Lung Adenocarcinoma

About 40% of the NSCLC patients have Stage IV cancer at the time of diagnosis. The only viable treatment options for metastatic disease are systemic chemotherapy and immunotherapy. Nonetheless, chemoresistance remains a major cause of chemotherapy failure. New immunotherapeutic modalities such as anti-PD1 checkpoint blockade have shown promise; however, response to such strategies is highly variable across patients. Here, we show that our novel poly(2-oxazoline) (POx) based nanomicellar formulation of Resiquimod, an imidazoquinoline TLR 7/8 agonist, had a superior tumor inhibitory effect in a metastatic model of lung adenocarcinoma, relative to anti-PD1 immune checkpoint blockade therapy as well as platinum-based chemotherapy, which is the mainstay of treatment for NSCLC. Investigation of the in vivo immune status following Resiquimod PM (POx micellar formulation of Resiquimod) treatment showed that Resiquimod-based stimulation of antigen-presenting cells in the tumor microenvironment resulted in the mobilization of anti-tumor CD8+ immune response. Our study demonstrates the promise of optimally delivered and nano-formulated Resiquimod as a new immunomodulating therapeutic strategy for the treatment of metastatic NSCLC.

pharmacology and toxicology↗