Novel prognostic model predicts overall survival in colon cancer based on RNA splicing regulation gene expression

Luo, Qiu‐Yun; Di, Tian; Chen, Zhi‐Gang; Peng, Jianhong; Sun, Jian; Xia, Zengfei; Pan, Wentao; Luo, Fan; Lü, Fangli; Sun, Yuting; Zhang, Lin; Qiu, Miao‐Zhen; Yang, Dajun

doi:10.1111/cas.15480

Cited by 6 publications

(4 citation statements)

References 52 publications

(101 reference statements)

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“…Additionally, this model was confirmed as a predictor of therapeutic efficacy in CC. Among these genes, TIMP1 [ 50 ], FSTL3 [ 51 ], SLC2A3 [ 52 ], and TNNT1 [ 53 ] have been reported to be closely associated with the progression and prognosis of CC. The role of FABP4 in regulating the progression of CC is still controversial[ 54 , 55 ].…”

Section: Discussionmentioning

confidence: 99%

Multi-Omics analysis elucidates tumor microenvironment and intratumor microbes of angiogenesis subtypes in colon cancer

Yang,

Qiu,

et al. 2024

World J Gastrointest Oncol

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BACKGROUND Angiogenesis plays an important role in colon cancer (CC) progression. AIM To investigate the tumor microenvironment (TME) and intratumor microbes of angiogenesis subtypes (AGSs) and explore potential targets for antiangiogenic therapy in CC. METHODS The data were obtained from The Cancer Genome Atlas database and Gene Expression Omnibus database. K-means clustering was used to construct the AGSs. The prognostic model was constructed based on the differential genes between two subtypes. Single-cell analysis was used to analyze the expression level of SLC2A3 on different cells in CC, which was validated by immunofluorescence. Its biological functions were further explored in HUVECs. RESULTS CC samples were grouped into two AGSs (AGS-A and AGS-B) groups and patients in the AGS-B group had poor prognosis. Further analysis revealed that the AGS-B group had high infiltration of TME immune cells, but also exhibited high immune escape. The intratumor microbes were also different between the two subtypes. A convenient 6-gene angiogenesis-related signature (ARS), was established to identify AGSs and predict the prognosis in CC patients. SLC2A3 was selected as the representative gene of ARS, which was higher expressed in endothelial cells and promoted the migration of HUVECs. CONCLUSION Our study identified two AGSs with distinct prognoses, TME, and intratumor microbial compositions, which could provide potential explanations for the impact on the prognosis of CC. The reliable ARS model was further constructed, which could guide the personalized treatment. The SLC2A3 might be a potential target for antiangiogenic therapy.

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Section: Discussionmentioning

confidence: 99%

Multi-Omics analysis elucidates tumor microenvironment and intratumor microbes of angiogenesis subtypes in colon cancer

Yang,

Qiu,

et al. 2024

World J Gastrointest Oncol

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“…As demonstrated by studies, AKAP8L stimulates cell proliferation / migration in various cancers, such a sd colon cancer, gastric cancer and esophageal squamous cell carcinoma, and can interact with mTORC1 and promote cell growth. Thus, it may be a prospective target for the treatment of cancers [ 9 , 15 , 16 , 25 ].…”

Section: Discussionmentioning

confidence: 99%

Integrative analysis identifies AKAP8L as an immunological and prognostic biomarker of pan-cancer

Zhou,

Mei,

Cao

et al. 2023

Aging

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A-kinase anchoring protein 8L (AKAP8L) belong to the A-kinase anchoring protein (AKAP) family. Recent studies have proved that AKAP8L is associated with the progression of various tumors. To establish a more complete understanding of the significance of AKAP8L across various types of cancers, we conducted a detailed analysis of multiple histological datasets, including the level of gene expression in pancancer, biological function, molecular characteristics, as well as the diagnostic and prognostic value of AKAP8L in pancancer. Furthermore, we focused on renal clear cell carcinoma (KIRC), and of explored the correlation of AKAP8L with clinical characteristics, prognosis of distinct patient subsets, co-expression genes and differentially expressed genes (DEG). We also performed the immunohistochemical staining and semi-quantitative verification of the monoclonal antibody established by AKAP8L. Our findings indicate that AKAP8L expression varied significantly not only across most cancer types, but also across different cancer molecules and immune subtypes. In addition, the robust ability to accurately predict cancer and its strong correlation with the prognosis of cancer strongly suggest that AKAP8L may be a potential biomarker for cancer diagnosis and prognosis. Furthermore, the high expression levels of AKAP8L were related to the worse overall survival (OS), disease-specific survival (DSS) as well as progression-free interval (PFI) of KIRC with statistical significance, especially among distinct clinical subgroups of KIRC. To sum up, AKAP8L has the potential to serve as a critical molecular biomarker for the diagnosis and prognosis of pancancer, an independent prognostic risk factor of KIRC, and a novel molecular target for cancer therapies.

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“…hand. The 6 up-regulated genes (IL-20, CLK1, SORBS2, ERG1, PIM1, SNORD3A) are involved in cancer development [43][44][45][46][47][48]. Interleukin 20 (IL-20) is a cytokine assigned to the interleukin 10 family described as tumor promoting [49].…”

Section: Plos Onementioning

confidence: 99%

Transcriptome profiling of human col\onic cells exposed to the gut pathobiont Streptococcus gallolyticus subsp. gallolyticus

Pasquereau-Kotula,

du Merle,

Sismeiro

et al. 2023

PLoS ONE

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Streptococcus gallolyticus sp. gallolyticus (SGG) is a gut pathobiont involved in the development of colorectal cancer (CRC). To decipher SGG contribution in tumor initiation and/or acceleration respectively, a global transcriptome was performed in human normal colonic cells (FHC) and in human tumoral colonic cells (HT29). To identify SGG-specific alterations, we chose the phylogenetically closest relative, Streptococcus gallolyticus subsp. macedonicus (SGM) as control bacterium. We show that SGM, a bacterium generally considered as safe, did not induce any transcriptional changes on the two human colonic cells. The transcriptional reprogramming induced by SGG in normal FHC and tumoral HT29 cells was significantly different, although most of the genes up- and down-regulated were associated with cancer disease. Top up-regulated genes related to cancer were: (i) IL-20, CLK1, SORBS2, ERG1, PIM1, SNORD3A for normal FHC cells and (ii) TSLP, BHLHA15, LAMP3, ZNF27B, KRT17, ATF3 for cancerous HT29 cells. The total number of altered genes were much higher in cancerous than in normal colonic cells (2,090 vs 128 genes being affected, respectively). Gene set enrichment analysis reveals that SGG-induced strong ER- (endoplasmic reticulum) stress and UPR- (unfolded protein response) activation in colonic epithelial cells. Our results suggest that SGG induces a pro-tumoral shift in human colonic cells particularly in transformed cells potentially accelerating tumor development in the colon.

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Novel prognostic model predicts overall survival in colon cancer based on RNA splicing regulation gene expression

Cited by 6 publications

References 52 publications

Multi-Omics analysis elucidates tumor microenvironment and intratumor microbes of angiogenesis subtypes in colon cancer

Multi-Omics analysis elucidates tumor microenvironment and intratumor microbes of angiogenesis subtypes in colon cancer

Integrative analysis identifies AKAP8L as an immunological and prognostic biomarker of pan-cancer

Transcriptome profiling of human col\onic cells exposed to the gut pathobiont Streptococcus gallolyticus subsp. gallolyticus

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