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Image Search Results
Journal: BMC cancer
Article Title: Exercise accelerates recruitment of CD8 + T cell to promotes anti-tumor immunity in lung cancer via epinephrine.
doi: 10.1186/s12885-024-12224-7
Figure Lengend Snippet: Fig. 3 Transcriptional targets were examined by RNA-seq in tumors after exercise. a The number of differentially expressed genes in the Ex and Ctrl mice were detected by RNA-seq. b Volcano plot of differentially expressed genes in Ex compared with Ctrl tumor tissues. Red dots represent upregu lated genes, and blue dots represent downregulated genes. c Heat map of the differentially expressed genes in Ex compared with Ctrl tumor tissues. d Pathway enrichment analysis of significantly upregulated or downregulated genes. e-j RT-qPCR validates the gene expression of Cxcl10, Cxcl12, Cxcl14, Ppbp, Pf4 and Ccl8 in the tumors each group (n = 3) after tumor inoculation. k-l The expression levels of Cxcl10 and Cxcl12 were detected in the tumors in each group by ELISA (n = 8). The results of e-l are presented as mean ± SEM. Statistical analysis was performed using two-tailed unpaired t tests. *p < 0.05, **p < 0.01, ***p < 0.001
Article Snippet: The concentrations of Ccl5, Cxcl10 and Cxcl12 were measured in Lewis lung cancercellsculture supernatants and in the serum of mice using Ccl5 ELISA kit (Cusabio, CSBE09256m), Cxcl10 ELISA kit (Cusabio, CSB-E08183m) and
Techniques: RNA Sequencing, Quantitative RT-PCR, Gene Expression, Expressing, Enzyme-linked Immunosorbent Assay, Two Tailed Test
Journal: Advanced Science
Article Title: Transcriptome Landscape of Cancer‐Associated Fibroblasts in Human PDAC
doi: 10.1002/advs.202415196
Figure Lengend Snippet: Cell–cell interactions between CAF subtypes and myeloid cells. A) Boxplot showing the percentage of MKI67 + cells in each cell type within tumor tissues. Each dot corresponds to each sample. B) Boxplot showing the frequency of each CAF subtype in tumors. Each dot corresponds to each sample. C) Heatmap showing the Spearman correlation coefficient between the abundance of CAF subtypes and the proliferation percent of other cells in tumors. Correlation test p values are indicated, *** p < 0.001, ** p < 0.01, and * p < 0.05. D) Cell–cell interaction network showing interactions between CAF subtypes and other cells in tumors. The dot color indicates the cell type, the dot size indicates the interaction number of a given cell type, and the line thickness indicates the interaction number of a given cell type pair. E) Bar plots showing the interaction number of a given cell type. F) Dot plot showing GO terms of ligands and receptors within specific myeloid cells‐CAFs interactions and specific lymphocytes‐CAFs interactions. G) Dot plot showing the expression level of ligand‐receptor gene pair related with chemotaxis and cytokine within myeloid cell‐CAF interactions. The dot color and size indicate the expression levels and statistical significance, respectively. Red words indicate the ligands (row) expressed in the corresponding cell type (column), and blue words indicate the receptors (row) expressed in the corresponding cell type (column). H) Bar plot showing the fold change of neutrophil migration obtained following the addition of the CAFs/NFs or the CM derived from CAFs/NFs in lower chamber after 1 h. For each group, n = 7 biological replicates. Data are shown as mean value ± SD. One‐way ANOVA p values are calculated. * p < 0.05 and *** p < 0.001. I) Neutrophils were treated with or without CXCL4 inhibitor Plerixafor (25 µM). Neutrophil migration assay was performed by adding control medium or culture medium of CAFs into lower champers, or seeding CAFs into lower champers with or without Plerixafor (25 µM). Bar plot showing the fold change of neutrophil migration after 1 h. For each group, n = 7 biological replicates. Data are shown as mean value ± SD. One‐way ANOVA p values are calculated. ** p < 0.01, **** p < 0.0001, and ns, not significant. J) Cartoon depicting CXCL12‐CXCR4 as a major interaction axis between CAFs and myeloid cells.
Article Snippet: Primary antibodies:
Techniques: Expressing, Chemotaxis Assay, Migration, Derivative Assay, Control
Journal: Cancer Research
Article Title: SPP1 Drives Colorectal Cancer Liver Metastasis and Immunotherapy Resistance by Stimulating CXCL12 Production in Cancer-Associated Fibroblasts
doi: 10.1158/0008-5472.CAN-24-4916
Figure Lengend Snippet: SPP1 promotes colorectal cancer metastasis through a positive feedback loop mediated by CAF-secreted CXCL12. A, Mass spectrometry analyzed supernatants from SPP1-stimulated and unstimulated CAFs, showing fold changes in secreted proteins (SPP1/control). B, A bubble chart displays commonly secreted protein levels in fibroblasts. C and D, Uniform Manifold Approximation and Projection (UMAP) plots and quantitative analysis reveal CXCL12 expression in fibroblasts within OE-SPP1 and vector groups. E, ELISA measured CXCL12 in CAF supernatants with/without SPP1 (1 µg/mL), n = 3. F, A flowchart shows CAF-conditioned medium’s (CM) impact on colorectal cancer (CRC) cell migration and invasion. G and H, Transwell and wound healing assays evaluated the effects of CAF-conditioned media or CXCL12-neutralizing antibody (100 ng/mL) on colorectal cancer cell migration and invasion ( n = 3). I–K, Flowchart illustrating the effects of CXCL12 or neutralizing antibody treatment on the colorectal cancer cell migration and invasion, assessed via transwell and wound healing assays ( n = 3). L, The effect of CXCL12 (100 ng/mL) or a neutralizing antibody (100 ng/mL) on the epithelial–mesenchymal transition markers expression in the colorectal cancer cells was analyzed using Western blotting ( n = 3). M, Correlation analysis of CXCL12 with SPP1 and TGFB1 in the TCGA dataset. N and O, The effect of CXCL12 (100 ng/mL) or neutralizing antibody (100 ng/mL) on the SPP1 and TGFβ expression in the colorectal cancer cells was evaluated using Western blotting ( N ) or ELISA ( O ), n = 3. Results are presented as mean ± SEM. P values were calculated using a two-tailed unpaired Student t test ( E ), whereas one-way ANOVA was used for the other comparisons. *, P < 0.05; **, P < 0.01; ***, P < 0.001.
Article Snippet: Human recombinant SPP1 (HY- P70499 ) and
Techniques: Mass Spectrometry, Control, Expressing, Plasmid Preparation, Enzyme-linked Immunosorbent Assay, Migration, Western Blot, Two Tailed Test
Journal: Cancer Research
Article Title: SPP1 Drives Colorectal Cancer Liver Metastasis and Immunotherapy Resistance by Stimulating CXCL12 Production in Cancer-Associated Fibroblasts
doi: 10.1158/0008-5472.CAN-24-4916
Figure Lengend Snippet: SPP1 inhibits T-cell infiltration and cytotoxicity via CXCL12 secretion from CAFs. A, Schematic of the coculture system with PDOs, T cells, and CAFs. CRC, colorectal cancer; E:T, effector to target. B and C, Confocal microscopy assessing the effect of SPP1 overexpression on T-cell infiltration and cytotoxicity in PDOs with or without CAFs ( n = 3). D and E, Impact of rhSPP1 (1 µg/mL) or CXCL12-neutralizing antibody (100 ng/mL) on T-cell infiltration and cytotoxicity in PDOs ( n = 3). Results are presented as mean ± SEM. P values were determined using one-way ANOVA. *, P < 0.05; **, P < 0.01; ***, P < 0.001; n.s., nonsignificant. PI, propidium iodide.
Article Snippet: Human recombinant SPP1 (HY- P70499 ) and
Techniques: Confocal Microscopy, Over Expression
Journal: Cancer Research
Article Title: SPP1 Drives Colorectal Cancer Liver Metastasis and Immunotherapy Resistance by Stimulating CXCL12 Production in Cancer-Associated Fibroblasts
doi: 10.1158/0008-5472.CAN-24-4916
Figure Lengend Snippet: SPP1 activates the β-catenin/HIF1α axis in the CAFs to drive CXCL12 secretion. A, Western blotting assessed key signaling pathway in CAFs after 24 hours of SPP1 protein stimulation. B–E, β-catenin and HIF1α expressions were analyzed following SPP1 or conditioned medium treatments, including from SPP1-overexpressing or -knockdown cells. F–H, HIF1α degradation was evaluated with MSAB or si-CTNNB1 transfection after cycloheximide (CHX) treatment, and HIF1α levels were measured after MSAB (1 µmol/L) or MG132 (20 µmol/L) pretreatment. I and J, Coimmunoprecipitation examined the HIF1α and β-catenin interaction. K and L, Immunofluorescence and nuclear–cytoplasmic fractionation assays assessed HIF1α and β-catenin localization ( n = 3). Scale bar, 25 μm. M–O, CXCL12 levels in conditioned media were measured after SPP1 (1 µg/mL) or MSAB treatments (24 hours). P, Correlation analysis of HIF1α and CXCL12 expression in 50 CAF samples using transcriptome data. Q, Dual-luciferase assays evaluated CXCL12 promoter activity ( n = 3). R and S, T-cell migration and infiltration were analyzed with or without SPP1 protein or MSAB treatment, n = 3. Scale bar, 50 μm. Western blotting ( A–J and L ) and ELISA ( M–O ) were repeated three times, with data representative of three independent experiments. Results are presented as mean ± SEM. P values were determined by one-way ANOVA ( M –O , R , and S ) and two-tailed unpaired Student t test ( F , G , and Q ). *, P < 0.05; **, P < 0.01; ***, P < 0.001. R and S , Created with Figdraw.com .
Article Snippet: Human recombinant SPP1 (HY- P70499 ) and
Techniques: Western Blot, Knockdown, Transfection, Immunofluorescence, Fractionation, Expressing, Luciferase, Activity Assay, Migration, Enzyme-linked Immunosorbent Assay, Two Tailed Test
Journal: Cancer Research
Article Title: SPP1 Drives Colorectal Cancer Liver Metastasis and Immunotherapy Resistance by Stimulating CXCL12 Production in Cancer-Associated Fibroblasts
doi: 10.1158/0008-5472.CAN-24-4916
Figure Lengend Snippet: Blocking the SPP1/CXCL12 axis alleviates immunosuppression in the liver microenvironment and augments the benefits of immunotherapy. A, Flowchart of the intrasplenic injection model of liver metastasis using OE-SPP1 MC38 cells ( i.s.v. , intrasplenic injection; i.p. , intraperitoneal injection). B–D, Representative tumor morphology, hematoxylin and eosin staining, liver weight, and tumor burden ( n = 5 mice/group). Scale bar, 1 mm. E and F, Flow cytometric analysis of IFNγ + CD8 + and GZMB + CD8 + T cells in liver metastases ( n = 5 mice/group). G, Flowchart of the cecal orthotopic injection model of liver metastasis in the NOG mice using HCT116-HM cells. H and I, Luciferase images and bioluminescence quantification of metastatic livers. J, Hematoxylin and eosin staining and the number of liver metastases ( n = 5 mice/group). K, ELISA analysis of IFNγ levels in liver metastases ( n = 5 mice/group). L–N, ELISA of SPP1 and CXCL12 in peripheral blood of responders ( n = 25) and nonresponders ( n = 12) in immunotherapy-treated colorectal cancer cohorts. O, Diagram of tumor-derived SPP1 activation of CAFs to promote immunotherapy resistance in CRLM. Data are presented as mean ± SEM. P values were determined using one-way ANOVA ( C–F , and I–K ) and two-tailed unpaired Student t test ( L and M ). *, P < 0.05; **, P < 0.01; ***, P < 0.001. O, Created in BioRender. Liu, F. (2025) https://BioRender.com/k7tx8am .
Article Snippet: Human recombinant SPP1 (HY- P70499 ) and
Techniques: Blocking Assay, Injection, Staining, Luciferase, Enzyme-linked Immunosorbent Assay, Derivative Assay, Activation Assay, Two Tailed Test
Figure S5 . (B) Average CXCL12 expression levels were quantified using ImageJ (left), with each symbol representing a single Z montage image. CXCL12 expression in megakaryocytes (middle), or in thrombi (right) was quantified using Imaris, with data collected from 10 to 12 fields at 20 × objective from 3 mice. (C) CXCL12 concentration in BM supernatant in three genetic mice at 24 h post 9 Gy TBI examined by Elisa ( n = 4). Data were presented as mean ± S.D., ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001; ∗∗∗∗ p < 0.0001, determined by one-way ANOVA with Tukey’s multiple comparison test (B and C). " width="100%" height="100%">
Journal: iScience
Article Title: Blockade of TSP-1/CD47 signal axis promotes donor hematopoietic engraftment by improving SEC/MK niche function
doi: 10.1016/j.isci.2025.111952
Figure Lengend Snippet: CXCL12 expression pattern at 24 h post 9 Gy TBI in three genetic mice (A) Representative immunofluorescent images of CXCL12 distribution (green channel) at sinusoidal/megakaryocyte niches in cortical region or mid-plane of WT (top panel), Cd47 −/− (middle panel), and Thbs1 −/− (bottom panel) mice at 24 h post-TBI. White arrows highlight megakaryocytes, and white arrowheads indicate thrombi in the sinusoidal space. Scale bar = 50 μm. For corresponding whole mount immunofluorescent images of the bone marrow sections for all three groups, please refer to
Article Snippet: Bone marrow supernatant was diluted 10-fold with sample diluent, and the concentration of CXCL12 was measured using an
Techniques: Expressing, Concentration Assay, Enzyme-linked Immunosorbent Assay, Comparison
Journal: iScience
Article Title: Blockade of TSP-1/CD47 signal axis promotes donor hematopoietic engraftment by improving SEC/MK niche function
doi: 10.1016/j.isci.2025.111952
Figure Lengend Snippet:
Article Snippet: Bone marrow supernatant was diluted 10-fold with sample diluent, and the concentration of CXCL12 was measured using an
Techniques: Recombinant, Staining, Cell Isolation, TUNEL Assay, In Situ, Derivative Assay, Enzyme-linked Immunosorbent Assay, Bicinchoninic Acid Protein Assay, Software
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . Representative images of MC38-OVA (left) and tumour growth (right) in C57BL/6J mice ( n = 5). b . Representative images of CT26 tumours (left) and tumour growth (right) in BALB/c mice ( n = 5). c . Schematic diagram illustrating the working principle of ATS-GNP adipocytolysis. ATS-GNP, containing a CaCO 3 core, is receptor-mediated for endocytosis. Upon reaching the acidic environment, ATS-GNP releases CO 2 gas, disrupting the adipose cell membrane. d . Tumour growth of MC38 tumours in C57BL/6J, BALB/c-Nude (left), and NSG (right) mice ( n = 5). e . Representative images of E0771 tumours at day 16 of the experiment in C57BL/6J mice following removal of PAT ( n = 5). f . Tumour weights of E0771 tumours at day 16 in C57BL/6J mice with the removal of PAT ( n = 5). g . Representative flow cytometry plots of CD45 + cells gated on live cells in MC38-OVA tumours. h . Violin plots showing the expression of CXCR7 across all cell types in CRC patients, analysed using the Kruskal-Wallis test. i . Editing strategy for constructing Cxcl12 fl/fl cKO mouse. j . Experimental design for constructing Control and Cxcl12 fl/fl cKO mice bearing MC38-OVA tumours near PAT. k . Western blot analysis for verifying the knockout efficiency of Cxcl12 in PAT of Control mice and Cxcl12 fl/fl cKO mice. l . RT-qPCR analysis for verifying the Cxcl12 knockout efficiency in liver, spleen, uterus, and tumour tissues from Control mice and Cxcl12 fl/fl cKO mice ( n = 6). Data represent ≥ 3 independent experiments. P -values were calculated using two-way ANOVA with Tukey’s correction for multiple comparisons ( a -right, b -right, and d ), two-way ANOVA with Bonferroni’s correction for multiple comparisons ( f ), or a two-sided, unpaired Student’s t -test ( l ). Graphs display mean ± SD ( a , b , d , f , l ). Panels created with BioRender : c , i and j , Huaiqiang, J. https://biorender.com/cy7rgjm (2026).
Article Snippet: For drug treatment, a
Techniques: Membrane, Flow Cytometry, Expressing, Control, Western Blot, Knock-Out, Quantitative RT-PCR
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a , Cell–cell communication analysis based on ligand–receptor interactions (top six) between stromal cells and lymphocytes in tVAT (left) and a comparison between tVAT, dVAT and tumour (right). b , Marked CXCL12–CXCR4 interactions among CD8 + T cells, CD4 + T cells, B cells, plasma cells and stromal cell populations in tVAT, dVAT and tumour. The width of the lines represents the probability of communication. c , Violin plots showing the expression of CXCL12 (top) and CXCR4 (bottom) across all cell types in patients with CRC. d , Violin plots comparing the expression of CXCL12 in dVAT versus tVAT (top) and tumour versus tVAT (bottom) in patients with CRC, analysed using a two-sided Wilcoxon test. e , Experimental design for the PAT C57BL/6J mouse model treated with IgG or anti-CXCL12 antibody (left), and representative MC38 tumour images at day 16 of the experiment (right) ( n = 5). f , Tumour growth (left) and tumour weights (right) of MC38 tumours at day 16 of the experiment in C57BL/6J mice ( n = 5). g , Representative MC38 tumour images (left) and tumour growth (right) of experiments in control and Cxcl12 fl/fl cKO mice ( n = 6). h , Tumour weights of MC38 tumours in control and Cxcl12 fl/fl cKO mice at day 16 of the experiment ( n = 6). i , Flow cytometry analysis of the infiltration of various CXCR4 + immune cells in MC38 tumours in Control and Cxcl12 fl/fl cKO mice ( n = 6). j , Schematic diagram of the chemotaxis assay using T cells as ‘sensors’ and conditional medium as a ‘sink’ (left), and the aggregated trajectories of control or CXCL12-induced T cells migrating for 1 h (right). k , Quantitative analysis of CXCR4 + CD45.1 + T cells in MC38 tumours with and without removal of PAT or contralateral inguinal adipose tissue (control) by flow cytometry ( n = 5). Data represent ≥3 independent experiments. Statistical significance was assessed by a two-sided permutation test ( a ), two-sided unpaired Student’s t -test ( f right, h and i ), one-way analysis of variance (ANOVA) with Tukey’s correction for multiple comparisons ( k right) or two-way ANOVA ( f left and g right). Graphs display mean ± s.d. ( f – i , k ). Panels created with BioRender : e and k , Huaiqiang, J. https://biorender.com/ovq2e39 (2026).
Article Snippet: For drug treatment, a
Techniques: Comparison, Clinical Proteomics, Expressing, Control, Flow Cytometry, Chemotaxis Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . UMAP plot of VAT-associated stromal cells in tVAT and dVAT from CRC patients. The 8 clusters, labelled by inferred cell types, are denoted by colour. b . Dot plot showing RNA expression of marker genes used to define pAC, adCAF, and APC subclusters. Circle size represents the log-normalized P -value, while colour intensity indicates the log-transformed mean expression of marker genes. c . Sorting strategy for isolating adCAFs from mouse PAT by flow cytometry. d . RNA sequencing analysis of adCAF markers in sorted adCAF-enriched stromal cells and non-adCAF stromal cells ( n = 4). Statistical significance was assessed using a two-sided, unpaired Student’s t -test. e . RNA sequencing analysis of adipogenesis markers in sorted adCAF-enriched stromal cells and non-adCAF stromal cells ( n = 4). Statistical significance was assessed using a two-sided, unpaired Student’s t -test. f . Representative images of the morphology of sorted adCAF-enriched stromal cells and non-adCAF stromal cells. Scale bar = 500 μm. g . Cross-tissue interactions analysis based on ligand-receptor pairs between adCAFs and tumour cells (left) and a comparison between tVAT and dVAT (right). A two-sided permutation test was used to determine the significance of pathways. h . Western blot analysis of CXCL12 protein expression in sorted adCAF-enriched stromal cells and non-adCAF stromal cells ( n = 3). The data are presented as a box-and-whisker graph (bounds of box: first to third quartile, bottom and top line: minimum to maximum, central line: median) for ( d - e ).
Article Snippet: For drug treatment, a
Techniques: RNA Expression, Marker, Transformation Assay, Expressing, Flow Cytometry, RNA Sequencing, Comparison, Western Blot, Whisker Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a , UMAP of all stromal cells in tVAT, dVAT, tumour and normal from patients with CRC, with ten clusters labelled by inferred cell types. Major lineages included ASCs, pACs, CAFs, pericytes (PCs) and mesothelial cells (Mesos). b , Heatmap displaying the distribution of eight stromal cell subtypes across different tissue types. c , UMAP of eight subsets of VAT-associated stromal cells in tVAT and dVAT from patients with CRC, including ASCs, pACs and adCAFs. d , Beeswarm plot showing the distribution and abundance of VAT-associated stromal cell types in Nhoods between tVAT and dVAT. e , Stack plot displaying the abundance of the eight VAT-associated stromal cell subsets in dVAT and tVAT. f , Heatmap showing the RNA expression of various marker genes in VAT-associated stromal cell types, including ASC/pAC markers, CAF markers, cytokines and stromal markers. g , Representative multiplex immunofluorescence images showing the presence of adCAFs in tVAT samples from patients with CRC. Scale bar, 10 μm. DAPI, 4,6-diamidino-2-phenylindole. h , Relative expression levels of multiple cytokines and protumoural factors in adCAF-enriched stromal cells ( n = 4) and non-adCAF stromal cells ( n = 4) derived from the PAT of mice xenograft models. The data are presented as a box-and-whisker graph (bounds of box show first to third quartile, bottom and top line show minimum to maximum and the central line shows the median). i , Cell–cell communication analysis based on ligand–receptor pairs (top six) between adCAFs and lymphocytes in tVAT (left) and a comparison between tVAT and dVAT (right). j , RT–qPCR (left) and ELISA (right) detecting the RNA expression and protein secretion of CXCL12 in sorted adCAF-enriched stromal cells and non-adCAF stromal cells from PAT of mice. Data represent ≥3 independent experiments. All data are shown as mean ± s.d. and statistical significance was assessed by a two-sided, unpaired Wilcoxon test ( h ), two-sided permutation test ( i ) and Student’s t -test ( j ).
Article Snippet: For drug treatment, a
Techniques: RNA Expression, Marker, Multiplex Assay, Immunofluorescence, Expressing, Derivative Assay, Whisker Assay, Comparison, Quantitative RT-PCR, Enzyme-linked Immunosorbent Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . UMAP of all cells in tVAT and dVAT from 5 CRC patients, with 16 clusters labelled by inferred cell types. Major lineages included various immunocytes, VAT-associated stromal cells, adipocytes (ACs), endothelial cells (ECs), pericytes (PCs) and mesothelial cells (Mesos). b . Heatmap of representative marker genes across all cell populations. c . UMAP of 6 subsets of ACs in tVAT and dVAT from 5 CRC patients. d . Beeswarm plot showing the distribution and abundance of ACs in Nhoods between tVAT and dVAT. e . Box plot to compare the abundance of ACs in dVAT ( n = 5) and tVAT ( n = 5). P -values were calculated using a two-side Wilcoxon test. f . Cell-cell communication analysis based on ligand-receptor interactions (top 3) between CD8 + T cells and adipocytes, and between CD8 + T cells and VAT-associated stromal cells in tVAT. A two-sided permutation test was used to determine the significance of pathways. Only significant ligand-receptor pairs ( P < 0.05) are shown. Dot size encodes the interaction score, and colour scale indicates the communication probability. g . Violin plots showing the expression of CXCL12, VAT-associated markers, and CAF-associated markers in adipocytes and VAT-associated stromal cells from CRC patients. h . UMAP of 8 subsets of VAT-associated stromal cells in tVAT and dVAT from 5 CRC patients, including APCs, pACs and adipocyte-derived cancer-associated fibroasts (adCAFs). The 8 clusters, labelled by inferred cell types, are denoted by colour. i . Beeswarm plot showing the distribution and abundance of VAT-associated stromal cell types in Nhoods between tVAT ( n = 5) and dVAT ( n = 5). j . Box plot to compare the abundance of VAT-associated stromal cells in dVAT and tVAT. P -values were calculated using a two-side Wilcoxon test. k . Heatmap showing the RNA expression patterns of representative marker genes across all cell populations, including CAF markers, stromal markers, APC/pAC markers, white/brown/beige fat markers, and cytokines and growth markers. The data are presented as a box-and-whisker graph (bounds of box: first to third quartile, bottom and top line: minimum to maximum, central line: median) for ( e , j ).
Article Snippet: For drug treatment, a
Techniques: Marker, Expressing, Derivative Assay, RNA Expression, Whisker Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a , Experimental design for constructing Control and Mdk DTR cKO mice bearing MC38 tumours near PAT, followed by αPD-1 therapy. b , c , Representative MC38 tumour images ( b ), tumour weights ( c left) and tumour growth ( c right) in control and Mdk DTR cKO mice treated with IgG or anti-PD-1 ( n = 6). d , Flow cytometry analysis of the infiltration of immunocytes, including T cells, CD4 + T cells, CD8 + T cells, and tumour-specific CD8 + T cells, CXCR4 + immunocytes, CXCR4 + T cell, CXCR4 + CD4 + T cell, CXCR4 + CD8 + T cell and CXCR4 + tumour-specific T cell in MC38-OVA tumours from the four treatment groups ( n = 6). e , f , Representative MC38 tumour images ( e ) and tumour weights ( f ) of the experiment in mice treated with anti-CXCL12 and/or anti-PD-1 ( n = 5). g , Representative MRI image of CRC tumour and corresponding tVAT area region of CR and non-CR patients pre- and post-immuno-chemoradiotherapy. The yellow area represents the tVAT area, whereas the red area denotes the tumour region. Note that the mass visible in the intestinal lumen (top right) is faecal material. h , Pre-treatment tVAT area difference based on 3D Slicer between CR ( n = 30) and non-CR ( n = 37) patients. The data are presented as a box-and-whisker graph (bounds of box show first to third quartile, bottom and top line show minimum to maximum and the central line shows the median). i , ROC plot of response predicting ability of pre-treatment PAT area in immuno-chemoradiotherapy of proficient mismatch repair patients with CRC, compared with conventional indexes, including CPS, TPS, CEA and CA199 ( n = 67) with optimal cutoff. j , Comparison of pCR ratio in tVAT high and low group according to the optimal cutoff. k , Graphical abstract depicting how tumours reshape the stromal environment in tVAT and how tVAT competes for immunocytes from the tumour to promote immune escape. Data represent ≥3 independent experiments. Statistical significance was assessed using a two-sided, unpaired Student’s t -test ( d , h ), one-way ANOVA with Tukey’s correction for multiple comparisons ( c left, f ) or two-way ANOVA with Tukey’s correction for multiple comparisons ( c right). Graphs display mean ± s.d. ( c , d , f , h ). Panels created with BioRender : a and k , Huaiqiang, J. https://biorender.com/e5jwcye (2026).
Article Snippet: For drug treatment, a
Techniques: Control, Flow Cytometry, Whisker Assay, Comparison
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . Editing strategy for constructing Mdk DTR mouse. b . Flow cytometry representative plots and bar graphs for verifying the elimination efficiency of adCAFs (FAP + PDGFRB + MDK + stromal cells) in PAT of Control mice and Mdk DTR cKO mice. c . Experimental design for combination therapy with αCXCL12 and αPD-1 in mice bearing MC38-OVA tumours near PAT. d . MC38 tumour weights of the experiment in mice treated with αCXCL12 and/or αPD-1 ( n = 6). e . Flow cytometry analysis of the infiltration of immunocytes, including T cells, CD4 + T cells, CD8 + T cells, and tumour-specific CD8 + T cells in MC38-OVA tumours from the 4 treatment groups ( n = 6). f . Flow cytometry analysis of the infiltration of CXCR4 + immunocytes, including CXCR4 + T cell, CXCR4 + CD4 + T cell and CXCR4 + CD8 + T cell in MC38-OVA tumours from the 4 treatment groups ( n = 6). g . Boxplot of difference of tVAT area in CR and non-CR patients with T3 or T4 stage separately. The data are presented as a box-and-whisker graph (bounds of box: first to third quartile, bottom and top line: minimum to maximum, central line: median). h . ROC plot of prediction ability of tVAT area in patients with T3 or T4 stage separately. Data represent ≥ 3 independent experiments. P -values were calculated using a two-sided, unpaired Student’s t -test ( b , e - g ) and two-way ANOVA with Tukey’s correction for multiple comparisons ( d ). Graphs display mean ± SD ( b , d , e - g ). Panels created with BioRender : a and c , Huaiqiang, J. https://biorender.com/33r2gmm (2026).
Article Snippet: For drug treatment, a
Techniques: Flow Cytometry, Control, Whisker Assay
Journal: Nature Cell Biology
Article Title: Peritumoural adipose tissue drives immune evasion in colorectal cancer via adipose–mesenchymal transformation
doi: 10.1038/s41556-026-01885-0
Figure Lengend Snippet: a . Experimental design for combination therapy with AMD3100 and αPD-1 in mice bearing MC38-OVA tumours near subcutaneous PAT. b . Representative MC38 tumour images of the mice treated with AMD3100 and/or αPD-1 ( n = 5). c . Representative MC38 tumour weights of the mice treated with AMD3100 and/or αPD-1 ( n = 5). d . Representative MC38 tumour growth of the mice treated with AMD3100 and/or αPD-1 ( n = 5). e . Representative MC38 tumour images in MC38-OVA caecal orthotopic tumour-bearing mice treated with AMD3100 and/or αPD-1 ( n = 5). f . Representative MC38 tumour weights in MC38-OVA caecal orthotopic tumour-bearing mice treated with AMD3100 and/or αPD-1 ( n = 5). g . Representative MC38 Bioluminescence Images in MC38-OVA caecal orthotopic tumour-bearing mice treated with AMD3100 and/or αPD-1 ( n = 5). h . Representative MC38 tumour images in MC38-OVA caecal orthotopic tumour-bearing mice treated with αCXCL12 and/or αPD-1 ( n = 5). i . Representative MC38 tumour weights in MC38-OVA caecal orthotopic tumour-bearing mice treated with αCXCL12 and/or αPD-1 ( n = 5). j . Representative MC38 Bioluminescence Images in MC38-OVA caecal orthotopic tumour-bearing mice treated with αCXCL12 and/or αPD-1 ( n = 5). k . Flow cytometry analysis of the infiltration of immunocytes, including T cells, CD4 + T cells, CD8 + T cells, and tumour-specific CD8 + T cells in MC38-OVA tumours from 4 treatment groups ( n = 5). l . Flow cytometry analysis of the infiltration of CXCR4 + immunocytes, including CXCR4 + T cell, CXCR4 + CD4 + T cell and CXCR4 + CD8 + T cell in MC38-OVA tumours from 4 treatment groups ( n = 5). Data represent ≥ 3 independent experiments. P -values were calculated using a two-sided, unpaired Student’s t -test ( c , f , i , k , l ) and two-way ANOVA with Tukey’s correction for multiple comparisons ( d ). Graphs display mean ± SD ( c - d , f , i , k - l ). Panel created with BioRender : a , Huaiqiang, J. https://biorender.com/wbcolts (2026).
Article Snippet: For drug treatment, a
Techniques: Flow Cytometry