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human colon adenocarcinoma tissue microarray  (Novus Biologicals)


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    Structured Review

    Novus Biologicals human colon adenocarcinoma tissue microarray
    <t>TCGA-COAD</t> data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon <t>adenocarcinoma</t> (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.
    Human Colon Adenocarcinoma Tissue Microarray, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/human+colon+cancer+tissues/bio_rxiv__2025__02__26__640476-251-1-6?v=Novus+Biologicals
    Average 93 stars, based on 1 article reviews
    human colon adenocarcinoma tissue microarray - by Bioz Stars, 2026-07
    93/100 stars

    Images

    1) Product Images from "Antagonizing the serotonin receptor HTR2B drives antigen-specific cytotoxic T-cell responses and controls colorectal cancer growth"

    Article Title: Antagonizing the serotonin receptor HTR2B drives antigen-specific cytotoxic T-cell responses and controls colorectal cancer growth

    Journal: bioRxiv

    doi: 10.1101/2025.02.26.640476

    TCGA-COAD data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.
    Figure Legend Snippet: TCGA-COAD data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.

    Techniques Used: Expressing, Derivative Assay, Control, RNA Sequencing, Gene Expression, Standard Deviation



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    <t>TCGA-COAD</t> data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon <t>adenocarcinoma</t> (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.
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    <t>TCGA-COAD</t> data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon <t>adenocarcinoma</t> (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.
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    Image Search Results


    CBX family genes expression in colon cancer. ( A ) CBX expression level by qRT-PCR in three colon cancer cell lines (CACO-2, SW480, and HCT 116) compared to a normal colon cell line (NMC 460D). ( B ) CBX gene expression level in a colon cancer cDNA RT-qPCR array consisting of tumor ( N = 40) and normal samples ( N = 8). ( C ) Expression analysis of CBX family genes of colon tumor in UALCAN dataset (Normal = 41, Primary Tumor = 286). The star symbol indicates statistical significance (**: p ≤ 0.01, ***: p ≤ 0.001, ****: p ≤ 0.0001).

    Journal: International Journal of Molecular Sciences

    Article Title: The Study of Chromobox Protein Homolog 4 in 3D Organoid Models of Colon Cancer as a Potential Predictive Marker

    doi: 10.3390/ijms26157385

    Figure Lengend Snippet: CBX family genes expression in colon cancer. ( A ) CBX expression level by qRT-PCR in three colon cancer cell lines (CACO-2, SW480, and HCT 116) compared to a normal colon cell line (NMC 460D). ( B ) CBX gene expression level in a colon cancer cDNA RT-qPCR array consisting of tumor ( N = 40) and normal samples ( N = 8). ( C ) Expression analysis of CBX family genes of colon tumor in UALCAN dataset (Normal = 41, Primary Tumor = 286). The star symbol indicates statistical significance (**: p ≤ 0.01, ***: p ≤ 0.001, ****: p ≤ 0.0001).

    Article Snippet: Human TissueScan Colon Cancer Tissue qPCR Panel IV (HCRT304), containing first-strand cDNA from 48 samples covering 8-normal, 5-Stage I, 8-IIA, 1-II, 1-IIIA, 6-IIIB, 3-IIIC, 6-III, and 10-IV patients, was purchased from Origene (Rockville, MD, USA).

    Techniques: Expressing, Quantitative RT-PCR, Gene Expression

    Association between CBX4 expression levels and clinical stage and grade of CRC patients. ( A ) CBX4 expression analyses performed using the UALCAN dataset with relative statistical comparison among groups. ( B ) CBX4 expression analyses in a colon cancer cDNA RT-qPCR array consisting of tumor ( n = 40) and normal samples ( n = 8) stratifying patients according to stage and grade. The star symbol indicates statistical significance (**: p ≤ 0.01).

    Journal: International Journal of Molecular Sciences

    Article Title: The Study of Chromobox Protein Homolog 4 in 3D Organoid Models of Colon Cancer as a Potential Predictive Marker

    doi: 10.3390/ijms26157385

    Figure Lengend Snippet: Association between CBX4 expression levels and clinical stage and grade of CRC patients. ( A ) CBX4 expression analyses performed using the UALCAN dataset with relative statistical comparison among groups. ( B ) CBX4 expression analyses in a colon cancer cDNA RT-qPCR array consisting of tumor ( n = 40) and normal samples ( n = 8) stratifying patients according to stage and grade. The star symbol indicates statistical significance (**: p ≤ 0.01).

    Article Snippet: Human TissueScan Colon Cancer Tissue qPCR Panel IV (HCRT304), containing first-strand cDNA from 48 samples covering 8-normal, 5-Stage I, 8-IIA, 1-II, 1-IIIA, 6-IIIB, 3-IIIC, 6-III, and 10-IV patients, was purchased from Origene (Rockville, MD, USA).

    Techniques: Expressing, Comparison, Quantitative RT-PCR

    Characterization of CBX4 in CRC organoids. ( A ) Representative images of ex vivo PDO culture obtained from colorectal cancer biopsies are reported. Scale bar: 10 µm. ( B ) Real-time qPCR analysis of CBX4 in two groups of PDOs: the first one derived from healthy tissues (CNT) and the second one derived from tumor tissues (Tumor). Results were normalized to RPS18 mRNA and analyzed by 2 −ΔΔCt method. ( C ) Analysis of the knockdown efficiency of siCBX4 assessed by RT-PCR in PDOs after 72 h. ( D ) Effect of CBX4 silencing on PDO viability assessed by ATP Lite assay after 72 h. The star symbol indicates statistical significance (**: p ≤ 0.01).

    Journal: International Journal of Molecular Sciences

    Article Title: The Study of Chromobox Protein Homolog 4 in 3D Organoid Models of Colon Cancer as a Potential Predictive Marker

    doi: 10.3390/ijms26157385

    Figure Lengend Snippet: Characterization of CBX4 in CRC organoids. ( A ) Representative images of ex vivo PDO culture obtained from colorectal cancer biopsies are reported. Scale bar: 10 µm. ( B ) Real-time qPCR analysis of CBX4 in two groups of PDOs: the first one derived from healthy tissues (CNT) and the second one derived from tumor tissues (Tumor). Results were normalized to RPS18 mRNA and analyzed by 2 −ΔΔCt method. ( C ) Analysis of the knockdown efficiency of siCBX4 assessed by RT-PCR in PDOs after 72 h. ( D ) Effect of CBX4 silencing on PDO viability assessed by ATP Lite assay after 72 h. The star symbol indicates statistical significance (**: p ≤ 0.01).

    Article Snippet: Human TissueScan Colon Cancer Tissue qPCR Panel IV (HCRT304), containing first-strand cDNA from 48 samples covering 8-normal, 5-Stage I, 8-IIA, 1-II, 1-IIIA, 6-IIIB, 3-IIIC, 6-III, and 10-IV patients, was purchased from Origene (Rockville, MD, USA).

    Techniques: Ex Vivo, Derivative Assay, Knockdown, Reverse Transcription Polymerase Chain Reaction

    Role of CBX4 silencing in CRC organoids ( A , B ). Representative images of our target molecules through immunofluorescence analysis. Localization of NFkB in tumor ex vivo PDOs before (CNT) and after siCBX4. Maximal projection images of PDO incubated NFkB (green signal) and cell nuclei were stained with Hoechst 33342 (blue signal). Scale bar: 10 µm. ( C ) Real time qPCR analysis of NF-κB, c-myc, TNF-α, and IL-1 in tumor ex vivo PDOs before (CTR) and after CBX4 silencing. Results were normalized to RPS18 mRNA and analyzed by 2 −ΔΔCt method. The star symbol indicates statistical significance (*: p ≤ 0.05, **: p ≤ 0.01).

    Journal: International Journal of Molecular Sciences

    Article Title: The Study of Chromobox Protein Homolog 4 in 3D Organoid Models of Colon Cancer as a Potential Predictive Marker

    doi: 10.3390/ijms26157385

    Figure Lengend Snippet: Role of CBX4 silencing in CRC organoids ( A , B ). Representative images of our target molecules through immunofluorescence analysis. Localization of NFkB in tumor ex vivo PDOs before (CNT) and after siCBX4. Maximal projection images of PDO incubated NFkB (green signal) and cell nuclei were stained with Hoechst 33342 (blue signal). Scale bar: 10 µm. ( C ) Real time qPCR analysis of NF-κB, c-myc, TNF-α, and IL-1 in tumor ex vivo PDOs before (CTR) and after CBX4 silencing. Results were normalized to RPS18 mRNA and analyzed by 2 −ΔΔCt method. The star symbol indicates statistical significance (*: p ≤ 0.05, **: p ≤ 0.01).

    Article Snippet: Human TissueScan Colon Cancer Tissue qPCR Panel IV (HCRT304), containing first-strand cDNA from 48 samples covering 8-normal, 5-Stage I, 8-IIA, 1-II, 1-IIIA, 6-IIIB, 3-IIIC, 6-III, and 10-IV patients, was purchased from Origene (Rockville, MD, USA).

    Techniques: Immunofluorescence, Ex Vivo, Incubation, Staining

    (a) International Cancer Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of human normal and CRC tissue microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.

    Journal: Nature

    Article Title: Loss of colonic fidelity enables multilineage plasticity and metastasis

    doi: 10.1038/s41586-025-09125-5

    Figure Lengend Snippet: (a) International Cancer Genome Consortium data of top 20 mutated cancer genes with high functional impact mutations in colorectal cancer (CRC). (b) Representative ATRX staining of human normal and CRC tissue microarray. Examples of positive and negative staining are shown. Scale bars, 500 µm. (c) Quantification of ATRX expression using immunohistochemistry H-score method analysed using QuPath. Samples are separated into normal, non-metastatic (stage I and II) and metastatic (stage III and IV) groups, n = 8 vs 47 vs 25 tumours. (d) Summary data indicating presence (H-score > 10) or absence (H-score <10) of ATRX staining in non-metastatic and metastatic samples. Number of tumours in each group indicated on graph, n = 47 vs 25 tumours. (e) Summary data indicating presence or absence of ATRX mutation in CRIS-B vs all other CRIS transcriptional subtypes. Data extracted from TCGA dataset where CRIS tumour annotation is known. Number of tumours in each group indicated on graph, n = 43 vs 278 tumours. (f) Overall survival data of patients with CRIS-B tumours separated on presence or absence of ATRX mutation. Data extracted from TCGA dataset, n = 37 vs 6 patients. For (c) data are mean ± SD. P values were calculated using ordinary one-way ANOVA with multiple comparisons. For (d) and (e) p values were calculated using two-sided Fisher’s exact test. For (f) P value was calculated using Log-rank (Mantel-Cox) test. (g) Lollipop plot of TCGA PanCancer mutational data for ATRX. ATRX mutations were analysed using cBioPortal (07/12/23) with TCGA PanCancer Atlas Studies selected. (h) Western-blot analysis of AKP ATRX KO organoids for ATRX and β-actin. n = 2 technical replicates. (i) Representative images of haematoxylin and eosin (H&E) stained lung metastases in mice injected with AKP Control or AKP Atrx KO2 organoid cells via tail vein. Scale bars, 500 µm. (j) Quantification of number of lung metastases per mouse, n = 7 vs 8 mice. (k) Quantification of total lung tumour burden per mouse, n = 7 vs 8 mice. (l) Summary data indicating presence or absence of lung metastases. Number of mice with lung metastases or no metastases indicated on graph, n = 7 vs 8 mice. For (j) and (k) data are mean ± SD. P values were calculated using two-tailed Mann-Whitney test. For (l) p value was calculated using two-sided Fisher’s exact test.

    Article Snippet: The commercial colon cancer human tissue array used was CO804b (Biomax) (Extended Data Fig. ).

    Techniques: Functional Assay, Staining, Microarray, Negative Staining, Expressing, Immunohistochemistry, Mutagenesis, Western Blot, Injection, Control, Two Tailed Test, MANN-WHITNEY

    TCGA-COAD data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.

    Journal: bioRxiv

    Article Title: Antagonizing the serotonin receptor HTR2B drives antigen-specific cytotoxic T-cell responses and controls colorectal cancer growth

    doi: 10.1101/2025.02.26.640476

    Figure Lengend Snippet: TCGA-COAD data were analyzed. (A) Kaplan-Meier survival analysis of HTR 2B expression (derived from TCGA data) in 220 colon adenocarcinomas patient’s cohort. “HTR 2B -high” versus “HTR 2B -low” data were segregated based on the cohort’s top or bottom 25% with intratumoral HTR 2B expression. Mantel-cox log rank test. (B) Representative images of HTR 2B and Ki67 in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue. The original magnification is 200X, and the inset images are 600X. (C) Representative images of serotonin (5-HT), neurofilament-A (NF-A) in the control (lamina propria) and lamina propria of colon adenocarcinoma (COAD) tissue IHC. Original magnification 200X. (D) RNA-seq datasets (n=30 samples) were segregated into “HTR 2B -high” and “HTR 2B -low” (highest fifteen and lowest fifteen intra-tumoral HTR 2B expression), and the differential expression of selected genes was analyzed. (E) Principal component analysis (PCA) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/group). (F) Venn diagram showing numbers of mutually exclusive or shared genes in each group. (G) A volcano plot shows differentially expressed genes (DEGs) of “HTR 2B -high” versus “HTR 2B -low” datasets (n=15 patients/groups) are shown. (H) Heatmap statistics differentially expressed selected gene sets. (I) Gene ontology of altered biological processes. (J) Gene set enrichment analysis (GSEA) of the curated gene sets that affect the regulatory and effector functions of the T cells. (K) Intra-tumoral immune cell signatures were analyzed by deconvolution using TIMER2.0 of HTR 2B -high and -low datasets. (L) A TIDE computational analysis of the association between the tumor-infiltrating CD8 T cells (CTL) level (expression of CD8A, CD8B, GZMA, GZMB, and PRF1. Overall, patient survival with the intratumoral HTR 2B gene expression level. For each patient cohort, tumor samples were divided into HTR 2B -high (samples with HTR 2B expression one standard deviation above the average, shown in the left survival plot) and HTR 2B -low (remaining samples shown in the right survival plot) groups.

    Article Snippet: The human colon adenocarcinoma tissue microarray (Novus Biological, Catalog # NBP2-78088) was stained with the antibodies and detected using chromogenic reagent DAB.

    Techniques: Expressing, Derivative Assay, Control, RNA Sequencing, Gene Expression, Standard Deviation