Interleukins as new prognostic genetic biomarkers in non-small cell lung cancer

Pérez-Ramírez, Cristina; Cañadas-Garre, Marisa; Alnatsha, Ahmed; Molina, Miguel Ángel; Robles, Ana I.; Villar, Eduardo; Delgado, Juan Ramón; Faus-Dáder, María José; Calleja‐Hernández, Miguel Ángel

doi:10.1016/j.suronc.2017.05.004

Cited by 26 publications

(25 citation statements)

References 67 publications

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“…In another study, overexpression of CXCL8 induced cell proliferation, migration, and invasion of colon cancer LoVo cells, and CXCL8 induced EMT via the PI3K/AKT/ NF-κB signaling axis was reported (Shen et al, 2017). Many articles have shown that IL1B SNPs may be involved in the pathogenesis of NSCLC and thyroid cancer in Chinese population and can also be used as a new prognostic genetic biomarker for non-small cell lung cancer (Li et al, 2019(Li et al, , 2015Perez-Ramirez et al, 2017). Tumor-derived CXCL5 can promote human CRC metastasis by activating ERK/Elk-1/Snail and AKT/GSK3β/ β-catenin pathway, accelerate osteosarcoma growth and can serve as a biomarker for non-small cell carcinoma, etc.…”

Section: Discussionmentioning

confidence: 99%

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Meng

Liao

et al. 2020

PeerJ

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Background Colorectal cancer (CRC) is the third most common cancer in the world. The present study is aimed at identifying hub genes associated with the progression of CRC. Method The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses performed in R by WGCNA, several hub genes that regulate the mechanism of tumorigenesis in CRC were identified. Differentially expressed genes in the data sets GSE28000 and GSE42284 were used to construct a co-expression network for WGCNA. The yellow, black and blue modules associated with CRC level were filtered. Combining the co-expression network and the PPI network, 15 candidate hub genes were screened. Results After validation using the TCGA-COAD dataset, a total of 10 hub genes (MT1X, MT1G, MT2A, CXCL8, IL1B, CXCL5, CXCL11, IL10RA, GZMB, KIT) closely related to the progression of CRC were identified. The expressions of MT1G, CXCL8, IL1B, CXCL5, CXCL11 and GZMB in CRC tissues were higher than normal tissues (p-value < 0.05). The expressions of MT1X, MT2A, IL10RA and KIT in CRC tissues were lower than normal tissues (p-value < 0.05). Conclusions By combinating with a series of methods including GO enrichment analysis, KEGG pathway analysis, PPI network analysis and gene co-expression network analysis, we identified 10 hub genes that were associated with the progression of CRC.

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Section: Discussionmentioning

confidence: 99%

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Meng

Liao

et al. 2020

PeerJ

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“…In another study, overexpression of CXCL8 induced cell proliferation, migration, and invasion of colon cancer LoVo cells, and CXCL8 induced EMT via the PI3K / AKT / NF-κB signaling axis was reported (Shen et al 2017). Many articles have shown that IL1B SNPs may be involved in the pathogenesis of NSCLC and thyroid cancer in Chinese population and can also be used as a new prognostic genetic biomarker for non-small cell lung cancer (Li et al 2019;Li et al 2015;Perez-Ramirez et al 2017). Tumor-derived CXCL5 can promote human colorectal cancer metastasis by activating ERK / Elk-1 / Snail and AKT /GSK3β/β-catenin pathway, accelerate osteosarcoma growth and can serve as a biomarker for non-small cell carcinoma, etc.…”

Section: Discussionmentioning

confidence: 99%

Peer Review #1 of "Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis (v0.1)"

2020

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Background Colorectal cancer (CRC) is the third most common cancer in the world. The present study is aimed at identifying Hub genes associated with the progression of CRC. Method The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses performed in R. by WGCNA, several hub genes that regulate the mechanism of tumorigenesis in CRC were identified. Differentially expressed genes in the data set GSE28000 and GSE42284 were used to construct a co-expression network for WGCNA. The yellow, black, and blue modules associated with CRC level were filtered. Combining the co-expression network and the PPI network, 15 candidate hub genes were screened. Results After validation using the TCGA-COAD dataset, a total of 10 Hub genes (MT1X, MT1G, MT2A, CXCL8, IL1B, CXCL5, CXCL11, IL10RA, GZMB, KIT) closely related to the progression of CRC were identified. The expressions of MT1G, CXCL8, IL1B, CXCL5, CXCL11 and GZMB in colorectal cancer tissues were higher than normal tissues (p-value <0.05). The expressions of MT1X, MT2A, IL10RA and KIT in colorectal cancer tissues were lower than normal tissues (p-value <0.05). Conclusions By combinating with a series of methods including GO enrichment analysis, KEGG pathway analysis, PPI network analysis and gene co-expression network analysis, we identified 10 hub genes that were associated with the progression of CRC.

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“…Previous studies have confirmed that CKLF is related to the prognosis of patients with colon cancer, and the specific mechanism was related to leukocyte infiltration. 26 In addition, the gene polymorphism of IL12A was correlated with the risk and prognosis of various tumors, including lung cancer, 27 HCC, 28 cervical cancer, 29 and gastric cancer. 30 As a chemokine, CCL20 plays an important role in the progression of tumors and is closely related to the prognosis of patients with solid tumors such as colon cancer, 31 lung cancer, 32 and pancreatic cancer.…”

Section: Discussionmentioning

confidence: 99%

<p>Development and Validation of a Novel 8 Immune Gene Prognostic Signature Based on the Immune Expression Profile for Hepatocellular Carcinoma</p>

Xu¹,

Wang²,

Zhou³

et al. 2020

OTT

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Background: The immune microenvironment plays a vital role in the development of hepatocellular carcinoma (HCC). This study explored novel immune-related biomarkers to predict the prognosis of patients with HCC. Methods: RNA-Seq data were downloaded from The Cancer Genome Atlas (TCGA). Univariate Cox regression was used to identify prognosis-related genes; the Lasso method was used to construct the prognosis risk model. Validation was performed on the International Cancer Genome Consortium (ICGC) cohort, and the C-index was calculated to evaluate its overall predictive performance. Western blots were conducted to evaluate the expression of genes. Results: There were 320 immune-related genes, 40 of which were significantly related to prognosis. Eight immune gene signatures (CKLF, IL12A, CCL20, PRELID1, GLMN, ACVR2A, CD7, and FYN) were established by Lasso Cox regression analysis. This immune signature performed well in different cohorts and can be an independent risk factor for prognosis. In addition, the overall predictive performance of this model was higher than the other models reported previously. Conclusion: The predictive immune model will enable patients with HCC to be more accurately managed in immunotherapy.

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Interleukins as new prognostic genetic biomarkers in non-small cell lung cancer

Cited by 26 publications

References 67 publications

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis

Peer Review #1 of "Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis (v0.1)"

<p>Development and Validation of a Novel 8 Immune Gene Prognostic Signature Based on the Immune Expression Profile for Hepatocellular Carcinoma</p>

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