Biology subjects

Shih, I.-M.

Publications and source records attributed to Shih, I.-M..

12 recordsLinked to original sources

bioRxiv2026

Targeting Tumor Immunity: Statins as a Repurposed Strategy for Preventing Ovarian Cancer Advancement

High-grade serous ovarian carcinoma (HGSOC) remains the most lethal gynecologic malignancy, characterized by a high recurrence rate and poor long-term survival. Although daily statin use is associated with improved survival in ovarian cancer patients, the underlying mechanism of this benefit remains unclear, in part due to the use of non-clinical high doses and reliance on immunodeficient murine models in preclinical studies. Here, we analyzed data from the TriNetX US Collaborative Network to evaluate the association between statin use and survival in ovarian cancer patients, confirming a survival benefit in a large U.S. cohort. We next investigated the protective effects in a syngeneic ascites tumor model of ovarian cancer. Mice treated with clinically relevant doses of lipophilic atorvastatin (ATO) exhibited prolonged survival. Single-cell transcriptomic analyses further revealed enhanced CD8+ T-cell activation programs and pro-inflammatory macrophage remodeling. Flow cytometry identified increased M1-like macrophages and activated CD8+ T-cell populations. Cytokine profiling and transcriptomic analyses indicated that IL-15 signaling was significantly elevated following ATO treatment. Multiplex immunofluorescence analyses demonstrated enhanced tertiary lymphoid structure (TLS)-associated immune organization in metastatic tumor tissues after ATO treatment, with increased T- and B-cell markers. Ex vivo culture of primary T cells with ascites supernatant from ATO-treated mice resulted in enhanced T-cell activation and migratory capacity compared with supernatant from DMSO-treated mice. Collectively, our results suggest that daily statin use may remodel the body environment into a more immune-activated state, leading to a long-term beneficial effect on survival in cancer patients, as observed in large epidemiological studies.

cancer biology↗

bioRxiv2026

Cross-species analysis links cell-cell communication rewiring to NOTCH2 during serous endometrial carcinogenesis

Cell-cell interactions shape the fate of mutant cells during cancer initiation but how these interactions evolve during progression to pathologically recognizable lesions remain poorly understood. Here, we investigated cell-cell communication during serous endometrial carcinoma (SEC; also known as uterine serous carcinoma) development using a lineage-traceable mouse model and cross-species analyses of the mouse and human neoplastic endometrium. In mice, the early, pre-dysplastic stage was marked by a global decrease in inferred cell-cell interactions, followed by extensive communication network rewiring during neoplastic progression. Pathway-specific analysis revealed a similar pattern for NOTCH signaling, with NOTCH2 emerging as the dominant NOTCH receptor in Trp53/Rb1-mutant immature epithelial cells. Functionally, NOTCH2 promoted the outgrowth of more proliferative mutant organoids. Cross-species transcriptomic analysis identified conserved immature epithelial states in mouse and human neoplastic endometrial epithelium. In human tissues, NOTCH2 was overexpressed in serous endometrial intraepithelial carcinoma, a precursor of SEC, and in overt SEC. Furthermore, elevated NOTCH2 expression was associated with poor patient survival. These findings link cell-cell communication rewiring during experimental SEC development to conserved neoplastic epithelial states and identify NOTCH2 as an early marker and a potential target of disease interception.

cancer biology↗

bioRxiv2025

Modulating Glutamine Metabolism Reprograms Pro-Inflammatory Differentiation in Macrophages

Previous in vivo studies demonstrated that JHU083/DON, a glutamine analog drug, potently reprograms M1/M2 macrophages. To determine whether these effects are direct or indirect, we utilized an in vitro murine bone marrow-derived macrophage (BMDM) model, which recapitulates macrophage differentiation and polarization processes, to examine the impact of DON on the M1 macrophages. DON was applied during M1 differentiation or to fully polarized M1 macrophages, revealing that glutamine inhibition initially suppressed M1 activity but later enhanced it, resulting in sustained pro-inflammatory activation. Multi-omics analyses (bulk RNA-seq and LC-MS), time-course assays, and glutamine depletion experiments consistently suggested that prolonged glutamine inhibition elevates glutamine levels, which sustain pro-inflammatory gene transcription. In contrast, M2 and tumor-associated macrophages (TAM), which are immunosuppressive, were more susceptible to DON, leading to functional suppression. Collectively, our findings uncover stage-specific mechanisms by which glutamine inhibition modulates M1 polarization, offering a mechanistic rationale for therapeutic strategies that sustain pro-inflammatory, anti-tumor macrophage activity while concurrently suppressing immunosuppressive myeloid subsets in cancer.

cancer biology↗

bioRxiv2025

Integrated Spatial Analysis of Ovarian Precancerous Lesions

Studying precancerous lesions is essential for improving early detection and prevention, particularly in aggressive cancers such as ovarian carcinoma. Here, we conducted integrated and spatial analyses of transcriptomes, aneuploidy, and clinic-pathological features in 166 ovarian precancerous lesions. Four pre-cancerous subtypes were identified transcriptomically: proliferative, immunoreactive, dormant, and mixed. These subtypes varied in their frequency of germline-BRCA1/2 mutations, aneuploidy, CCNE1/MYC amplification, proliferative activity, immune-regulatory gene expression, and histological features. Notably, the immunoreactive subtype upregulated immune-regulatory genes, exhibited chronic inflammation, and was enriched in cases with germline-BRCA1/2 mutations, deletions of chromosomes 17 (harboring TP53 and BRCA1) and 13 (harboring BRCA2), leading to a double "two-hit" involving TP53 and BRCA1/2. Tumor invasion was associated with the activation of interferon response pathways, epithelial-mesenchymal transition, and extracellular matrix remodeling. In summary, our results elucidate the earliest molecular landscape of ovarian precancerous lesions, serving as the foundation for future risk stratification to identify aggressive pre-cancerous lesions.

molecular biology↗

bioRxiv2025

Inhibition of Glutamine Metabolism Suppresses Tumor Progression through Remodeling of the Macrophage Immune Microenvironment

BackgroundTargeting glutamine metabolism has emerged as a promising strategy in cancer therapy. However, several barriers, such as in vivo anti-tumor efficacy, drug toxicity, and safety, remain to be overcome to achieve clinical utility. Prior preclinical in vivo studies had generated encouraging data showing promises of cancer metabolism targeting drugs, although most were performed on immune-deficient murine models. It is being recognized that aside from tumor cells, normal cells such as immune cells in the tumor microenvironment may also utilize glutamine for maintaining physiological functions. To provide an in-depth view of glutamine antagonist (GLNi) treatment on the tumor immune microenvironment, the current study made several unique approaches. MethodFirst, to evaluate GLNi treatment modality that potentially involves immune cells, the study was performed on immunocompetent murine models of gynecological cancers. Second, to enhance safety and reduce potential off-target effects, we developed a GLNi prodrug, JHU083, which is bio-activated restrictively in cancer tissues. Third, to unbiasedly decode the response of single cells in the tumor microenvironment to GLNi treatment, single-cell RNA sequencing (scRNA-seq) was performed on cells prepared from tumors of the JHU083 or vehicle control-treated mice. ResultsIn both immunocompetent murine tumor models, we observed a significant anti-tumor efficacy, resulting in reduced tumor burden and impeded tumor progression. Similarly, in both tumor models, scRNA-seq revealed significantly impeded immunosuppressive M2-like macrophages by JHU083, while the treatment spared pro-inflammatory M1-like tumor macrophages. In many tumor microenvironment (TME) cells, JHU083 downregulated genes regulated by Myc and hypoxia. M2 macrophages greater sensitivity to glutamine antagonism when compared to M1 macrophages or monocytes was further validated on ex vivo cultures of bone marrow-derived macrophages. ConclusionOur findings support a converged mechanism of glutamine metabolism antagonists. JHU083 exerted its anti-tumor efficacy through not only direct targeting of glutamine-addicted cancer cells but also by suppressing glutamine-dependent M2 macrophages, leading to a shift in the M1/M2 macrophage landscape in favor of an immune-stimulatory microenvironment.

cancer biology↗

bioRxiv2023

Precision-engineered biomimetics: the human fallopian tube

The fallopian tube has an essential role in several physiological and pathological processes from pregnancy to ovarian cancer. However, there are no biologically relevant models to study its pathophysiology. The state-of-the-art organoid model has been compared to two-dimensional tissue sections and molecularly assessed providing only cursory analyses of the models accuracy. We developed a novel multi-compartment organoid model of the human fallopian tube that was meticulously tuned to reflect the compartmentalization and heterogeneity of the tissues composition. We validated this organoids molecular expression patterns, cilia-driven transport function, and structural accuracy through a highly iterative platform wherein organoids are compared to a three-dimensional, single-cell resolution reference map of a healthy, transplantation-quality human fallopian tube. This organoid model was precision-engineered to match the human microanatomy. One sentence summaryTunable organoid modeling and CODA architectural quantification in tandem help design a tissue-validated organoid model.

bioengineering↗

bioRxiv2023

Ultrasensitive detection of circulating LINE-1 ORF1p as a specific multi-cancer biomarker

Improved biomarkers are needed for early cancer detection, risk stratification, treatment selection, and monitoring treatment response. While proteins can be useful blood-based biomarkers, many have limited sensitivity or specificity for these applications. Long INterspersed Element-1 (LINE-1, L1) open reading frame 1 protein (ORF1p) is a transposable element protein overexpressed in carcinomas and high-risk precursors during carcinogenesis with negligible detectable expression in corresponding normal tissues, suggesting ORF1p could be a highly specific cancer biomarker. To explore the potential of ORF1p as a blood-based biomarker, we engineered ultrasensitive digital immunoassays that detect mid-attomolar (10-17 M) ORF1p concentrations in patient plasma samples across multiple cancers with high specificity. Plasma ORF1p shows promise for early detection of ovarian cancer, improves diagnostic performance in a multi-analyte panel, and provides early therapeutic response monitoring in gastric and esophageal cancers. Together, these observations nominate ORF1p as a multi-cancer biomarker with potential utility for disease detection and monitoring. Statement of SignificanceLINE-1 ORF1p transposon protein is pervasively expressed in many cancers and a highly specific biomarker of multiple common, lethal carcinomas and their high-risk precursors in tissue and blood. Ultrasensitive ORF1p assays from as little as 25 L plasma are novel, rapid, cost-effective tools in cancer detection and monitoring.

cancer biology↗

bioRxiv2022

Gene model correction for PVRIG in single cell and bulk sequencing data enables accurate detection and study of its functional relevance

Single cell RNA sequencing (scRNA-seq) has gained increased popularity in recent years and has revolutionized the study of cell populations; however, this technology presents several caveats regarding specific gene expression measurement. Here we examine the expression levels of several immune checkpoint genes, which are currently assessed in clinical studies. We find that unlike in most bulk sequencing studies, PVRIG, a novel immune-modulatory receptor in the DNAM-1 axis, suffers from poor detection in 10x Chromium scRNA-seq and other types of assays that utilize the GENCODE transcriptomic reference (gene model). We show that the default GENCODE gene model, typically used in the analysis of such data, is incorrect in the PVRIG genomic region and demonstrate that fixing the gene model recovers genuine PVRIG expression levels. We explore computational strategies for resolving multi-gene mapped reads, such as those implemented in RSEM and STARsolo and find that they provide a partial solution to the problem. Our study provides means to better interrogate the expression of PVRIG in scRNA-seq and emphasizes the importance of optimizing gene models and alignment algorithms to enable accurate gene expression measurement in scRNA-seq and bulk sequencing. The methodology applied here for PVRIG can be applied to other genes with similar issues.

bioinformatics↗

bioRxiv2021

Development of Small Molecule Inhibitors Targeting PBX1 Transcription Signaling as a Novel Cancer Therapeutic Strategy

PBX1 (pre-B cell leukemia transcription factor 1) is a transcription factor involved in diverse cellular functions including organ development, stem cell renewal, and tumorigenesis. PBX1 is localized at chr1q23.3, a frequently amplified chromosomal region, and it is overexpressed in many human malignancies including breast, lung, melanoma, and ovarian carcinomas. Cancer cells with elevated PBX1 signaling are particularly vulnerable to PBX1-withdrawal. We designed a series of small molecule compounds capable of docking to the interface between PBX1 and its cognate DNA target sequence and identified a lead compound, T417, which efficiently hindered the formation of the PBX1 transcriptional complex and affected the transcription of PBX1 target genes. In cell-based assays, T417 significantly suppressed long-term self-renewal and proliferation of cancer cells expressing high levels of PBX1 but not of those expressing low levels of PBX1. T417 also re-sensitized platinum-resistant ovarian tumor cells to carboplatin and produced synergistic anti-tumorigenic effects in vivo in combination with carboplatin. Normal tissues were spared, likely due to the lower PBX1 expression levels. Since PBX1 functions as a molecular hub in developing cancer recurrence and treatment resistance, our data highlight the potential of targeting the PBX-DNA interface as a therapeutic strategy for patients whose tumors rely on PBX1 activation for survival.

pathology↗

bioRxiv2020

Multi-compartment tumor organoids

Organoid cultures are widely used because they preserve many features of cancer cells in vivo. Here, we developed high-throughput oil-in-water droplet microtechnology to generate highly uniform, small-volume, multi-compartment organoids. Each organoid culture features a microenvironmental architecture that mimics both the basement membrane and stromal barriers. This matrix architecture, which allows accessing both proliferative and invasive features of cancer cells in a single platform, has profound effect on observed drug responsiveness and tumor progression that correlate well with in vivo and clinical outcomes. The method was tested on multiple types of cancer cells including primary cells and immortalized cell lines, and we determined our platform is suitable even for cells of poor organoid-forming ability. These new organoids also allow for direct orthotopic mouse implantation of cancer cells with unprecedented success.

cancer biology↗

bioRxiv2020

Epigenetic reprogramming towards mesenchymal-epithelial transition in ovarian cancer-associated mesenchymal stem cells drives metastasis

Ovarian cancer develops early intra-peritoneal metastasis establishing a supportive tumor microenvironment (TME) through reprogramming normal mesenchymal stem cells into carcinoma-associated mesenchymal stem cells (CA-MSCs). CA-MSCs are the stromal stem cell of the TME, supporting cancer growth, increasing desmoplasia, angiogenesis and chemotherapy resistance. We demonstrate epigenetic reprogramming drives CA-MSC formation via enhancer-enriched DNA hypermethylation, altered chromatin accessibility and differential histone modifications inducing a partial mesenchymal to epithelial transition (MET) increasing adhesion to tumor cells. Direct CA-MSC:tumor cell interactions, confirmed in patient ascites, facilitate ovarian cancer metastasis through co-migration. WT1, a developmental mediator of MET, and EZH2, mediate CA-MSC epigenetic reprogramming. WT1 overexpression induces CA-MSC conversion while WT1 knock-down, along with EZH2 inhibition, blocks CA-MSC formation. EZH2 inhibition subsequently decreases intra-abdominal metastasis. SignificanceThis work presents a new paradigm of stromal reprogramming involving a partial mesenchymal to epithelial transition. Rather than a classic tumor cell epithelial to mesenchymal transition, metastasis relies on epigenetic rewiring of a CA-MSC allowing enhanced tumor cell binding and co-migration with tumor cells to form metastasis. Indeed, CA-MSCs in complex with tumor cells are abundant in patient ascites. Reversion of CA-MSCs to normal MSCs is observed in patients achieving complete response with neoadjuvant therapy. Identification of WT1 and EZH2 as mediators of the epigenetic reprogramming of CA-MSCs present potential targets to block the formation of CA-MSCs thus disrupting the TME and limiting ovarian cancer metastasis.

cancer biology↗

bioRxiv2019

Assessing aneuploidy with repetitive element sequencing.

We report a sensitive PCR-based assay that can detect aneuploidy in samples containing as little as 3 picograms of DNA. Using a single primer pair, we amplified [~]750,000 amplicons distributed throughout the genome Aneuploidy was detected in 49% of liquid biopsies from a total of 883 non-metastatic cancers of eight different types. Combining aneuploidy with somatic mutation detection and eight standard protein biomarkers yielded a median sensitivity of 80% at 99% specificity.

cancer biology↗