Identification of CAFs hub genes for the building of CAFs-score. (A) The Kaplan-Meier analysis of marker genes for subtypes of CAFs with a poor prognosis, including POSTN, CCL11, APOD, CXCL14, and CFD. (B) Expression of POSTN proteins in human gastric normal and cancer tissues by Immunohistochemical analysis. (C) Expression of POSTN proteins in human gastric normal and cancer tissues by immunofluorescence staining. (D) The expressions of α-SMA and FAP in NF and CAF were detected by immunofluorescence staining. (E) Western blot analysis was conducted to assess the expression of POSTN in gastric cancer tissue, adjacent non-cancerous tissue, as well as in normal fibroblasts and cancer-associated fibroblasts. (F) Volcano plot of differentially expressed genes of normal and cancer tissues in TCGA-STAD. (G) Volcano plot of CAFs prognostic hub genes identified by univariate Cox regression analysis. (H) The lambda trajectory of each independent variable. (I) Plots illustrating the calculated coefficient distributions for the logarithmic (lambda) series used for parameter selection (lambda). (J) Coefficients of multivariate Cox for each gene in the CAFs-score.

Identification of CAFs hub genes for the building of CAFs-score. (A) The Kaplan-Meier analysis of marker genes for subtypes of CAFs with a poor prognosis, including POSTN, CCL11, APOD, CXCL14, and CFD. (B) Expression of POSTN proteins in human gastric normal and cancer tissues by Immunohistochemical analysis. (C) Expression of POSTN proteins in human gastric normal and cancer tissues by immunofluorescence staining. (D) The expressions of α-SMA and FAP in NF and CAF were detected by immunofluorescence staining. (E) Western blot analysis was conducted to assess the expression of POSTN in gastric cancer tissue, adjacent non-cancerous tissue, as well as in normal fibroblasts and cancer-associated fibroblasts. (F) Volcano plot of differentially expressed genes of normal and cancer tissues in TCGA-STAD. (G) Volcano plot of CAFs prognostic hub genes identified by univariate Cox regression analysis. (H) The lambda trajectory of each independent variable. (I) Plots illustrating the calculated coefficient distributions for the logarithmic (lambda) series used for parameter selection (lambda). (J) Coefficients of multivariate Cox for each gene in the CAFs-score.

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Background CAFs regulate the signaling of GC cells by promoting their migration, invasion, and proliferation and the function of immune cells as well as their location and migration in the TME by remodeling the extracellular matrix (ECM). This study explored the understanding of the heterogeneity of CAFs in TME and laid the groundwork for GC biomar...

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... raw data consists of 158,641 cells and 26,571 genes. We utilized scRNA-seq data from 26 primary GC samples to establish a stringent CAFs framework, identifying CAF populations using six marker genes: PDGFRA, PDGFRB, COL1A1, COL1A2, DCN, and FAP (Fig. S4). The lack of expression of epithelial cell-specific genes confirmed accurate CAFs identification (Fig. ...
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... marker genes of the CAF_0 subtype, including POSTN, CXCL14, APOD, CFD, and CCL11, on the prognosis of GC, were also evaluated ( Fig. 4A). High expression of these marker genes was associated with a poor prognosis, especially the marker gene of POSTN. In contrast to the normal stomach tissue, IHC and IF revealed that POSTN is primarily expressed in the stromal cells (Fig. 4B and ...
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... CAF_0 subtype, including POSTN, CXCL14, APOD, CFD, and CCL11, on the prognosis of GC, were also evaluated ( Fig. 4A). High expression of these marker genes was associated with a poor prognosis, especially the marker gene of POSTN. In contrast to the normal stomach tissue, IHC and IF revealed that POSTN is primarily expressed in the stromal cells (Fig. 4B and ...
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... we concentrated on the POSTN expression pattern in the stromal compartment. In addition, the high expression of α-SMA and FAP were detected in CAFs under a fluorescence microscope (Fig. 4D). Through Western blot analysis, we observed distinct expression levels of POSTN between GC tumor tissues and normal tissues. Additionally, CAFs derived from gastric cancer showed significantly higher levels of POSTN expression. (Fig. 4E). By comparing the TCGA-STAD tumor tissue to the control, 3460 DEGs were identified ( Fig. 4F). The ...
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... In addition, the high expression of α-SMA and FAP were detected in CAFs under a fluorescence microscope (Fig. 4D). Through Western blot analysis, we observed distinct expression levels of POSTN between GC tumor tissues and normal tissues. Additionally, CAFs derived from gastric cancer showed significantly higher levels of POSTN expression. (Fig. 4E). By comparing the TCGA-STAD tumor tissue to the control, 3460 DEGs were identified ( Fig. 4F). The discovery of 624 CAFs hub genes was the outcome of further investigation into relationships between DEGs and adverse prognostic CAF_0 subtype. Univariate Cox regression analysis identified 91 prognostic hub genes of the CAF_0 subtype ...
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... microscope (Fig. 4D). Through Western blot analysis, we observed distinct expression levels of POSTN between GC tumor tissues and normal tissues. Additionally, CAFs derived from gastric cancer showed significantly higher levels of POSTN expression. (Fig. 4E). By comparing the TCGA-STAD tumor tissue to the control, 3460 DEGs were identified ( Fig. 4F). The discovery of 624 CAFs hub genes was the outcome of further investigation into relationships between DEGs and adverse prognostic CAF_0 subtype. Univariate Cox regression analysis identified 91 prognostic hub genes of the CAF_0 subtype (Fig. 4G). After LASSO regression analysis, 6 genes remained, as determined by the least partial ...
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... (Fig. 4E). By comparing the TCGA-STAD tumor tissue to the control, 3460 DEGs were identified ( Fig. 4F). The discovery of 624 CAFs hub genes was the outcome of further investigation into relationships between DEGs and adverse prognostic CAF_0 subtype. Univariate Cox regression analysis identified 91 prognostic hub genes of the CAF_0 subtype (Fig. 4G). After LASSO regression analysis, 6 genes remained, as determined by the least partial likelihood of deviance ( Fig. 4H and I). Three genes (CXCR4, MATN3, and KIF24) were ultimately retrieved after multivariate Cox regression analysis to create the risk score, known as the "CAFs-score" (Fig. ...
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... of 624 CAFs hub genes was the outcome of further investigation into relationships between DEGs and adverse prognostic CAF_0 subtype. Univariate Cox regression analysis identified 91 prognostic hub genes of the CAF_0 subtype (Fig. 4G). After LASSO regression analysis, 6 genes remained, as determined by the least partial likelihood of deviance ( Fig. 4H and I). Three genes (CXCR4, MATN3, and KIF24) were ultimately retrieved after multivariate Cox regression analysis to create the risk score, known as the "CAFs-score" (Fig. ...
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... 91 prognostic hub genes of the CAF_0 subtype (Fig. 4G). After LASSO regression analysis, 6 genes remained, as determined by the least partial likelihood of deviance ( Fig. 4H and I). Three genes (CXCR4, MATN3, and KIF24) were ultimately retrieved after multivariate Cox regression analysis to create the risk score, known as the "CAFs-score" (Fig. ...

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... For example, Kcnd2, Tspan12, Ing3 and Cped1 located on Chromosome six are known to promote proliferation of breast cancer cells , be a critical factor for cancer associated fibroblast mediated invasion (Otomo et al., 2014), used as a potential biomarker for CRC/breast cancer (Kim and Lee, 2022;Li et al., 2023) or confer oncogenic effects in prostate cancer (Zhu et al., 2023) respectively. Likewise on chromosome 12, expression of Matn3, Osr1, and Nt5c1b have been associated with colon adenocarcinoma, gastric and breast cancer development (Zhao Z. et al., 2023a;Chi et al., 2023;Gadwal et al., 2023); potential use as a biomarker for breast cancer (Li et al., 2020) or promotion of EMT Identification of CCMT candidate modifier genes. (A) Genome-wide scan based on median survival/latency in 71 asbestos exposed CCMT strains depicting highly suggestive QTL on chromosomes 6, 12 and X (red arrows). ...
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... One example consistent with the transition is described by Fig. 2a of Wang et al. [19], in which cluster C0 expresses APOD, DCN, and LUM, while cluster C3 adjacent to it expresses COL11A1, THBS2, and INHBA (Fig. 1g). Furthermore, the presence of the COL11A1+ cluster 0, adjacent to C7+CFD+PTGDS+ cluster 1 in Fig. 5D from Dominguez et al., [14] is also consistent with the transition, as is the presence of gene POSTN together with APOD, CFD, and CXCL14 in the same "poor prognosis" cluster (CAF_0) [20] in gastric cancer. COL11A1 is also identified as the collagen marker most strongly associated with poor prognosis [16]. ...
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