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Journal: bioRxiv
Article Title: Stress adaptation pathways and HA–CD44 signaling maintain the survival of pancreatic cancer cells with centrosome amplification
doi: 10.64898/2026.01.24.701523
Figure Lengend Snippet: A) Centrosome amplification in PDAC cell lines Panc1 and Mia Paca-2. Top panel: Confocal microscopy images. Blue: DAPI, nuclei; Red: γ-tubulin, centrosomes. Bottom panel: Induction of PLK4 expression by doxycycline. GAPDH was used as loading control. B) PDAC cells sustain high levels of CA over time. C) Persistent CA reduces cell proliferation rates in PDAC cells. D) PDAC cells with CA exhibit increased sensitivity to GLS1 inhibition by CB-839. Left panel: Panc1 cells, Right panel: Mia Paca-2 cells. E-H) CB-839 treatment significantly decreases the colony-formation ability of PDAC cells with CA. (E) Panc1 cells (F) Mia Paca-2 cells. (G) BxPC-3 cells. (H) Quantification results of colony formation experiments. Statistical significances were measured by two-way ANOVA in B and H, by two-tailed t-test on C, by non-linear curve fitting in D. p values were reported on graphs.
Article Snippet:
Techniques: Amplification, Confocal Microscopy, Expressing, Control, Inhibition, Two Tailed Test
Journal: bioRxiv
Article Title: Stress adaptation pathways and HA–CD44 signaling maintain the survival of pancreatic cancer cells with centrosome amplification
doi: 10.64898/2026.01.24.701523
Figure Lengend Snippet: A) Schematic representation of L-glutamine metabolism pathways and enzymes targeted by specific inhibitors in the following experiments. B) Diagram of the NRF2 signaling pathway and inhibitors targeting NRF2 and Keap1. C) CA increases intracellular ROS levels in Panc1, Mia Paca-2 and BxPC-3 cells. D) Quantification of ROS measurement results in 2C. Left panel: Changes in histogram median values. Right panel: Percentage of cells with high ROS levels. E) Induction of CA decreases GSH:GSSG ratios in PDAC cell lines. F) Induction of CA increases nuclear localization of NRF2 in Panc1 cells. GAPDH and Histone H3 blots represent cytoplasmic and nuclear fractionation. G) CA increases the Antioxidant Response Element (ARE)-mediated gene expression in Panc1 cells. H) Overview of the competition experiments performed in panels H-K. I-J) Treatment with CB-839, BSO and ML385 significantly reduces the viability of Panc1 cells with CA in in-vitro competition assays. K) CB-839 and ML385 treatments diminish the survival of Mia Paca-2 cells with CA in in vitro competition assays. L) Inhibition of SNAT1-mediated glutamine uptake reduces the viability of Panc1 cells with CA in in vitro competition assays. Statistical significances were measured by two-tailed t-test in D (left panel), and by two-way ANOVA in D (right panel), E, and I-L. Dots represent individual repeats. p values were reported on graphs.
Article Snippet:
Techniques: Fractionation, Gene Expression, In Vitro, Inhibition, Two Tailed Test
Journal: bioRxiv
Article Title: Stress adaptation pathways and HA–CD44 signaling maintain the survival of pancreatic cancer cells with centrosome amplification
doi: 10.64898/2026.01.24.701523
Figure Lengend Snippet: A) Schematic representation of metabolic enzyme focused CRISPR screen experiment design. B) Top depleted hits in dox+ and dox- cells compared to initial sample. Left panel: Scatterplot of beta scores for dox+ and dox- sample. Pink dots in the scatterplot represent genes with a beta score that increased after CA. Blue dots represent genes with a beta score that decreased after CA. Right panel: Rank plot showing the genes based on differential beta score in which dox- beta score is subtracted from the dox+ beta score. C) Top 50 differentially depleted genes in dox+ samples. Pink dots represent beta score in dox- comparison, blue dots represent beta score in dox+ comparison. D) GSEA analysis of CRISPR screen results. E) Comparison of differential beta score values of CRISPR screen with Panc1 DepMap essentialities. F) MCL clustering results of top differentially depleted metabolic genes in cells with CA. Genes that were not included in a cluster (singletons) and clusters contain less than three proteins were removed. G) Enrichment analysis of protein-protein interaction network. H-J) Pathway-specific differentially depleted genes in cells with CA. (H) Response to superoxide (GO:0000303). (I) UDP- N -acetylglucosamine metabolic process (GO:0006047). (J) Glycosaminoglycan biosynthetic process (GO:0006024). K) UMAP projection of TCGA PDAC data for selected genes. CIN25 and CA20 gene expression scores was shown on the left side plots. PLK4 and NEK2: CA20 genes; PRDX1 and DHFR: ROS elimination; UGDH and DPAGT1: N-glycan synthesis/nucleotide sugar metabolism. Gene expression Z-scores were used in plots.
Article Snippet:
Techniques: CRISPR, Comparison, Gene Expression, Glycoproteomics
Journal: bioRxiv
Article Title: Stress adaptation pathways and HA–CD44 signaling maintain the survival of pancreatic cancer cells with centrosome amplification
doi: 10.64898/2026.01.24.701523
Figure Lengend Snippet: A) 4-MU, tunicamycin and FR054 treatments increase DNA content of individual cells. B) Quantification of the G1-peak intensities in . C) Tunicamycin treatment significantly reduces proliferation of centrosome-amplified Panc1 and Mia Paca-2 cells compared to control. D) 4-MU treatment significantly reduces proliferation of centrosome-amplified Panc1, Mia Paca-2, and BxPC-3 cells compared to control. E) Long-term 4-MU treatment results in generation of multinucleated cells. Left panel: Inverted confocal images. Purple color shows DNA content of the cells, and orange color shows centrosomes and cell boundaries. Scale bar: 20 µm. Right panel: Quantification of cell area and nucleus area in pixel squares. F) Quantification of multinucleated giant cells in DMSO and 4-MU treated cells with CA. Left panel: Quantification of CA. Right panel: Quantification of multinucleated cells. G) CRISPR/Cas9 targeted disruption of UGDH gene results in generation of multinucleated cells. Purple color shows DNA content of the cells, and orange color shows centrosomes and cell boundaries. Scale bar: 20 µm. H) Quantification of multinucleated cells in sgAAVS1 and sgUGDH expressing centrosome-amplified and control cells. I) Quantification of multinucleated cells in sgAAVS1 and sgUGDH expressing HA or Vehicle treated cells with CA. Significance was determined by two-tailed t-test in C, by two-way ANOVA test in D, F, H, and I, by one-way ANOVA in E. Dots represent individual repeats. p values were reported on graph.
Article Snippet:
Techniques: Amplification, Control, CRISPR, Disruption, Expressing, Two Tailed Test
Journal: bioRxiv
Article Title: Stress adaptation pathways and HA–CD44 signaling maintain the survival of pancreatic cancer cells with centrosome amplification
doi: 10.64898/2026.01.24.701523
Figure Lengend Snippet: A) Flow cytometry analysis showing elevated CD44 surface levels in centrosome-amplified PDAC cells. B) CD44-low Panc1 cells are more sensitive to CA. Left panel: FACS-sorted CD44-low and CD44-high populations in Panc1 and BxPC-3 cells. Right panel: Cell proliferation following different durations (3, 5, and 10 days) of CA. C) CD44-KO Panc1 cells are more sensitive to CA. Left panel: Flow cytometry confirming loss of CD44 expression in CD44-KO cells. Right panel: Cell proliferation following CA (5 and 10 days). D) Schematic of the competition assay design used in panel E. E) CD44-KO generates an increased vulnerability for UPR reduction in centrosome-amplified Panc1 cells. F) Representative confocal images of metaphase spindle organizations in Panc1 cells with CA. Top panel: bipolar clustered spindles; Bottom panel: multipolar spindles. G) Quantification showing reduced centrosome clustering in CD44-KO Panc1-PLK4 cells. H) CD44-low Panc1-PLK4 cells have increased multipolar spindle formation in metaphase. I) CD44-low Mia Paca-2-PLK4 cells have increased multipolar spindle formation in metaphase. Significance was determined by two-way ANOVA test in B, by one-way ANOVA in C, G, H, and I. Dots represent individual repeats. p values were reported on graph.
Article Snippet:
Techniques: Flow Cytometry, Amplification, Expressing, Competitive Binding Assay
Journal: Molecular Therapy Oncology
Article Title: Mechanistic and functional characterization of ABTB2 as a novel target for pancreatic cancer therapy
doi: 10.1016/j.omton.2025.201080
Figure Lengend Snippet: Gain- and loss-of-function experiments demonstrate the crucial role of ABTB2 in PDAC development in vitro (A) Establishment of stable Panc02 cells with ABTB2 knockout (KO) or overexpression (OE). A schematic illustrates the process of creating stable Panc02 cells with either ABTB2-OE or ABTB2-KO. Plasmids carrying ABTB2 or gRNA/Cas9 were co-transfected into HEK-293T cells with helper vectors psPAX2 and pMD2G to package lentivirus particles. Post overnight culture, the supernatant containing lentiviral particles was used to infect Panc02 cells. After 72 h, cells were subcultured at low density into 96 well-plates. Monoclonal cells that stably express ABTB2 or gRNA/Cas9 were selected using antibiotics for subsequent expansion. (B) Validation of ABTB2 KO and OE. The transduction efficiency of recombinant lentivirus in Panc02 cells was monitored by GFP expression under a microscope (upper left). ABTB2 KO or OE at the mRNA and protein levels was confirmed by RT-qPCR (right) and western blotting (lower left). (C) Impact of ABTB2 KO and OE on Panc02 cell colony formation. Panc02 cells with ABTB2-OE or ABTB2-KO were seeded into 6-well plates at a density of 200 cells per well and cultured for 7 or 10 days, then the cells were fixed with 6% v/v glutaraldehyde and stained with 0.5% w/v crystal violet. The colonies of Panc02 cells with ABTB2-OE (upper left) and Panc02-KO (lower left) were imaged and counted. (D) Impact of ABTB2 KO and OE on Panc02 cell migration: Panc02 cells with ABTB2-OE or ABTB2-KO were seeded into 24-well plate with a wound healing insert which was removed the second day. The wound closure was imaged under microscopy for assessing cell migration with ABTB2 OE (upper left) and ABTB2 KO (lower left); the accumulated gap diameters were counted (right). (E) Impact of ABTB2 KO and OE on Panc02 cell viability. Panc02 cells with ABTB2-OE or ABTB2-KO were seeded and cultured in 96-well plate. 16 h later, 10 μL of MTT labeling reagent was added to each well and incubated for 3 h, after which the absorbance of purple formazan crystals was measured. Cell viability with ABTB2-OE (left) and ABTB2-KO (right) was calculated as a percentage relative to the respective control. All cell culture experiments were conducted in at least three replicates ( n = 3). Statistical significance is denoted as ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001.
Article Snippet:
Techniques: In Vitro, Knock-Out, Over Expression, Transfection, Stable Transfection, Biomarker Discovery, Transduction, Recombinant, Expressing, Microscopy, Quantitative RT-PCR, Western Blot, Cell Culture, Staining, Migration, Labeling, Incubation, Control
Journal: Molecular Therapy Oncology
Article Title: Mechanistic and functional characterization of ABTB2 as a novel target for pancreatic cancer therapy
doi: 10.1016/j.omton.2025.201080
Figure Lengend Snippet: Impact of ABTB2 ectopic expression or depletion on PDAC growth in vivo (A) Establishment of orthotopic PDAC-bearing mice: A schematic illustrates the preparation of orthotopic PDAC and endpoint euthanasia. Wild-type C57BL/6 mice received intra-pancreatic injections of Panc02 cells with ABTB2-OE (5 × 10 4 per mouse) or ABTB2-KO (2.5 × 10 4 per mouse), with corresponding vehicle as controls. Post 35 days, mice were euthanized, and tumors were harvested for further analysis. (B) Tumor size and weight measurement: Macroscopic photographs of tumors from each mouse are shown on the left, with cumulative tumor weights displayed on the right. The date indicated an inverse relationship between ABTB2 expression and tumor growth. (C) Immunohistochemistry (IHC) for detection of ABTB2 expression: IHC was performed to validate ABTB2 expression levels in the tumors. Tumors induced by Panc02 cells with ABTB2-OE or ABTB2-KO, along with their corresponding vehicles, were processed, sectioned, and stained with an ABTB2 antibody to assess ABTB2 expression levels. (D) Kaplan-Meier survival analysis of tumor-bearing mice: viable mice with tumors induced by ABTB2-OE or ABTB2-KO cells were documented daily. Survival rates in each group were calculated over time to construct the Kaplan-Meier Curve. (E) IHC for detection of cell growth and apoptosis markers: Tumors induced with ABTB2-OE or ABTB2-KO cells were processed, sectioned, and stained with antibodies against Bcl2, ki67, and cleaved capase-3. The area of positive staining was quantified using ImageJ software. ( n = 10). Statistical significance is indicated by ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001.
Article Snippet:
Techniques: Expressing, In Vivo, Immunohistochemistry, Staining, Construct, Software
Journal: Molecular Therapy Oncology
Article Title: Mechanistic and functional characterization of ABTB2 as a novel target for pancreatic cancer therapy
doi: 10.1016/j.omton.2025.201080
Figure Lengend Snippet: ABTB2-recombinant AAV2 therapeutically suppresses orthotopic PDAC tumor growth in mice (A) Schematic diagrams depicting the preparation of ABTB2-recombinant AAV2 (AAV2-ABTB2) and outlining the administration protocol. Recombinant AAV2-ABTB2 was prepared through cDNA subcloning, amplification, CsCl ultracentrifugation, and qPCR titration, achieving a final concentration of 2 × 10 13 vg/ml. Orthotopic PDAC-bearing mice were established in wild-type C57BL/6 mice by intra-pancreatic injection of the indicated mouse PDAC cells at 5 × 10 4 cells/mouse. Subsequently, the mice were randomly divided into three groups and received injections of recombinant AAV2-ABTB2 at 10 11 vg/mouse. AAV2 vector and PBS were used as controls. All mice were euthanized on day 35 post-cell inoculation. (B to D) Recombinant AAV2-ABTB2 injection inhibits the growth of PDAC tumors induced by mouse UN-KPC-961 cells (B), human Panc-1 cells (C), and mouse Panc02 cells (D). On day 35 post-cell inoculation, all mice were euthanized. Macroscopic tumors along with their corresponding weights for each mouse were meticulously recorded. (E) Recombinant AAV2-ABTB2 treatment leads to enhanced ABTB2 expression. Western blotting was used to assess ABTB2 expression levels in Panc02-induced tumors with or without AAV2-ABTB2 treatment. ( n = 6). Statistical significance is indicated by ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001.
Article Snippet:
Techniques: Recombinant, Subcloning, Amplification, Titration, Concentration Assay, Injection, Plasmid Preparation, Expressing, Western Blot
Journal: Molecular Therapy Oncology
Article Title: Mechanistic and functional characterization of ABTB2 as a novel target for pancreatic cancer therapy
doi: 10.1016/j.omton.2025.201080
Figure Lengend Snippet: ABTB2-recombinant AAV2 inhibits human PDAC tumor growth in a patient-derived xenograft model (A) Schematic diagram illustrates ABTB2-recombinant AAV2 preparation (what difference with Figure 3 or overlap), PDX model establishment, and AAV2-ABTB2 treatment. The ABTB2-recombinant virus was engineered using AAV2, as depicted in A. For the creation of PDX mice, each NSG mouse received a subcutaneous injection of human PDAC tumor cells from two patients (MPC02 or MPC25) at 1 ×10 6 cells per mouse. The resulting tumors were serially transplanted into subsequent NSG mice. In this study, fourth-generation PDX mice harboring human patient MPC02 tumors (4PDX-MPCO2) and fifth-generation PDX mice with human tumors derived from patient MPC25 (5PDX-MPC25) were treated with AAV2-ABTB2 on day 8. PBS was used as the control. 4PDX-MPC02 mice were euthanized on day 41 and 5PDX-MPC25 mice on day 33. (B and C) AAV2-ABTB2 treatment led to a reduction in tumor volume. The sizes of human MPC02 (B) and MPC25 tumors (C) throughout the duration of the experiment were measured at the indicated intervals using a Vernier Caliper. The results were graphically represented to depict changes in tumor volume. (D and E) Recombinant AAV2-ABTB2 treatment led to the reduction in tumor weight. On day 33, mice in each group were euthanized to harvest tumors. Tumor weights from both 4PDX-MPCO2 (D) and 5PDX-MPC25 (E) mice were decreased following treatments. (F) AAV2-ABTB2 treatment increased mRNA expression of ABTB2 in PDX tumors. RNA was isolated from tumors of treated and untreated mice, and ABTB2 mRNA expression was determined by RT-qPCR. (G) Recombinant AAV2-ABTB2 treatment inhibited tumor growth, induced apoptosis, and suppressed vascularization. A portion of tumors was sectioned for IHC. Results indicated that AAV2-ABTB2 reduced Ki67 and CD31 expression and increased cleaved caspase-3 production. n = 6. Significance levels are denoted as ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001.
Article Snippet:
Techniques: Recombinant, Derivative Assay, Virus, Injection, Control, Expressing, Isolation, Quantitative RT-PCR
Journal: Molecular Therapy Oncology
Article Title: Mechanistic and functional characterization of ABTB2 as a novel target for pancreatic cancer therapy
doi: 10.1016/j.omton.2025.201080
Figure Lengend Snippet: LNP-mRNA-ABTB2 in combination with 5-FU induced synergistic therapeutic suppression of PDAC tumors (A) Construction of LNP-encapsulated ABTB2-mRNA. Schematics show ABTB2-mRNAs encapsulated in LNPs, named LNP-mRNA-ABTB2. (B) Transduction efficacy of LNP-mRNA-ABTB2 in KRAS G12D cell. KRAS G12D cells was seeded into 6-well plates at a dose of 5 × 10 5 /well and incubated at 37°C with 5% CO 2 and saturated humidity. After overnight culture, LNP-mRNA-ABTB2 was added to each well at varying doses from 100 ng to 2 μg. after 48 h, cells were harvested to isolate total RNA, which was reversed transcribed into cDNA to evaluate ABTB2 mRNA expression levels by RT-qPCR. Stable KRAS G12D cells with ABTB2-OE were used as a positive control. (C) LNP-mRNA-ABTB2 transduction led to ABTB2 production. As described in (B), KRAS G12D cells transduced with LNP-mRNA-ABTB2 for 48 h showed increased ABTB2 production, which was detected by western blotting. (D) LNP-mRNA-ABTB2 treatment design. KRAS G12D cells suspended in 15% Matrigel was subcutaneously injected into the left flank of 8-week-old C57BL/6 mice. From day 5, mice received injections of 5 μg LNP-mRNA-ABTB2 and 25 mg/Kg 5-FU every 3 days for three treatments. Mice receiving monotherapy with LNP, 5FU, or PBS were used as controls. (E) LNP-mRNA-ABTB2 and 5-FU alone led to a reduction in tumor volumes with a great effect seen in their combination. From the first treatment, the longest (L) and shortest (W) diameters of the subcutaneous implants were regularly measured. Tumor volume was calculated using the formula: L/2 × (W 2 ). (F and G). LNP-mRNA-ABTB2 and 5-FU alone led to a reduction in tumor weights, with an increased effect seen in their combination. (G) Twenty-two days after cell inoculation, tumors were isolated from mice receiving the indicated treatments, and tumor weights were measured. All cell culture experiments were conducted in at least four replicates ( n = 4), and animal experiment in three replicates ( n = 3). Statistical significance is denoted as ∗ p < 0.05, ∗∗ p < 0.01, and ∗∗∗ p < 0.001.
Article Snippet:
Techniques: Transduction, Incubation, Expressing, Quantitative RT-PCR, Positive Control, Western Blot, Injection, Isolation, Cell Culture
Journal: bioRxiv
Article Title: Radiotherapy Enhancement by Gold Nanocluster-functionalized Nanoliposomes Using Polychromatic Orthovoltage X-ray Irradiation
doi: 10.64898/2025.12.04.692299
Figure Lengend Snippet: (A) Brightfield images and corresponding viability heatmaps of microtumors incubated with AuLPs with 0 to 10 mol% of AuDDT without irradiation (0 Gy), and at 8 Gy (B), scale bar 400µm. (C) Quantification of microtumor viability in relation to AuDDT loaded on AuLPs for PANC-1 microtumors at different Xrays doses, 0, 4 and 8 Gy (Data was fitted with simple linear regression). (D) Quantification of normalized microtumor size in relation to AuDDT loaded on AuLPs for PANC-1 microtumors at different Xrays doses, 0, 4 and 8 Gy (curve was fitted for inhibitor vs normalized response-variable slope – four parameters). (E) Residual viable disease as the live fraction area remaining per condition, as AuDDT loaded on AuLPs (2mM) dose response for the different Xrays doses 0, 4 and 8 Gy. Data represent a sample sizes of n = 109-348.
Article Snippet:
Techniques: Incubation, Irradiation
Journal: bioRxiv
Article Title: Radiotherapy Enhancement by Gold Nanocluster-functionalized Nanoliposomes Using Polychromatic Orthovoltage X-ray Irradiation
doi: 10.64898/2025.12.04.692299
Figure Lengend Snippet: (A) ICP-MS quantification of Au content in spleen, liver and tumor, at 3h, 5h and 24h post liposome injection. (B) BPD fluorescence signal in spleen, liver and tumor, at 3h, 5h and 24h post liposome injection. AuDDT signal intensity in spleen, liver and tumor, at 3h, 5h and 24h post liposome injection. Data represents n=9 from three technical repetitions. (D) Elemental mapping of orthotopic PANC-1 tumor sections by LIBS for quantification of phosphorus (P) and gold (Au) on Au+BPD treated mice, depicted are tumor tissue, at 3h, 5h and 24h post liposome injection and representative H&E staining of the tissue slide. Scale bar, 2 mm.
Article Snippet:
Techniques: Injection, Fluorescence, Staining
Journal: Journal of Translational Medicine
Article Title: Tumor marker–guided precision BNCT for CA19-9–positive cancers: a new paradigm in molecularly targeted chemoradiation therapy
doi: 10.1186/s12967-025-07349-7
Figure Lengend Snippet: Biosynthesis pathway of carbohydrate antigen 19–9 (CA19-9) and clinical relevance of fucosyltransferase expression. ( A ) schematic illustration of the CA19-9 biosynthetic pathway. ( B ) chemical structures of CA19-9 and its monosaccharide component, L-fucose. ( C ) comparative transcriptomic analysis using the cancer cell Line encyclopedia (ccle): gene expression profiles in CA19-9–high versus CA19-9–normal cell lines (q < 0.01). ( D ) rna sequencing of pancreatic tumor samples comparing CA19-9–high (poor prognosis) and CA19-9–low (favorable prognosis) cases. ( E ) Kaplan–Meier survival analysis of pancreatic ductal adenocarcinoma (pdac) patients stratified by FUT3 expression. ( F ) Kaplan–Meier survival analysis of lung adenocarcinoma patients stratified by FUT3 expression
Article Snippet:
Techniques: Expressing, Gene Expression, RNA Sequencing