2017
DOI: 10.18632/oncotarget.20345
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Transcriptome analysis of human colorectal cancer biopsies reveals extensive expression correlations among genes related to cell proliferation, lipid metabolism, immune response and collagen catabolism

Abstract: Precise characterization of biological processes critical to proliferation and metastasis of colorectal cancer should facilitate the development of diagnostic and prognostic biomarkers as well as novel treatments. Using mRNA-Seq, we examined the protein coding messenger RNA (mRNA) expression profiles across different histologically defined stages of primary colon cancers and compared them to their patient matched normal tissue controls. In comparing 79 colorectal cancers to their matched normal mucosa, tumors … Show more

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Cited by 27 publications
(23 citation statements)
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“…The striking emergence of IFNs and IRGs as important players in the progression and the resistance of cancer cells have gained interest, especially in the context of CRC, since increasing evidence reveals that affected tissue or cells from patients exhibit overexpression of IRGs when compared to normal samples. For example, IRGs such as CMPK2, 20 , 21 IFITM1, 22 - 26 IFITM2, 22 , 27 IFITM3, 22 , 28 IRF2, 29 ISG15, 30 MX1, 31 , 32 and PLSCR1, 33 have been proposed as markers for diagnosis, aggressiveness and prognosis of CRC. Interestingly, the treatment of HT-29 cells with avicequinone B diminished the expression of several CRC-related IRGs (CMPK2, IFIT1, IFITM1, IFITM2, IFITM3, ISG15, and PLSCR1) together with other cancer-related IRGs (IFI27, IFIT2, IFIT3, IRF7, IRF9, and STAT1).…”
Section: Resultsmentioning
confidence: 99%
“…The striking emergence of IFNs and IRGs as important players in the progression and the resistance of cancer cells have gained interest, especially in the context of CRC, since increasing evidence reveals that affected tissue or cells from patients exhibit overexpression of IRGs when compared to normal samples. For example, IRGs such as CMPK2, 20 , 21 IFITM1, 22 - 26 IFITM2, 22 , 27 IFITM3, 22 , 28 IRF2, 29 ISG15, 30 MX1, 31 , 32 and PLSCR1, 33 have been proposed as markers for diagnosis, aggressiveness and prognosis of CRC. Interestingly, the treatment of HT-29 cells with avicequinone B diminished the expression of several CRC-related IRGs (CMPK2, IFIT1, IFITM1, IFITM2, IFITM3, ISG15, and PLSCR1) together with other cancer-related IRGs (IFI27, IFIT2, IFIT3, IRF7, IRF9, and STAT1).…”
Section: Resultsmentioning
confidence: 99%
“…Clinical and histopathological characteristics of the patients as well as tumor location are summarized in Additional file 1: Table S1. Among these 80 tumor pairs, 79 pairs were sequenced except the T7/N7 pair [1012].…”
Section: Methodsmentioning
confidence: 99%
“…Paired-end sequencing was carried out on HiSeq 2500 sequencer (Illumina, San Diego, CA, USA) for 100 × 2 cycles. For each sample, we obtained ~ 50 million 100-bp reads that passed preset filtering parameters [1012].…”
Section: Methodsmentioning
confidence: 99%
“…Cufflinks V.2.2.1 was used to assemble the transcriptome based on the hg19 reference annotation, and Cuffquan/Cuffnorm (part of Cufflinks) were used in calculating relative abundance of each transcript reported as FPKM. Gene co-expression analyses were carried by Partek NGS & microarray data analysis software (25,28,29). Integrated Discovery (DAVID) v6.7 (https://david.ncifcrf.gov/) was used for biological pathway determination and Cytoscape (2.8.2) was used for gene coexpression networks construction.…”
Section: Sequencing Data Analysismentioning
confidence: 99%
“…A total of 25,761 genes were detected. Because genes with higher FPKM values may have greater biological impact, we focused on genes with FPKM > 1 (25,28). Ten thousand two hundred fifty-five genes (40% of total genes) had an average FPKM > 1 and differential expression between tumors and normal controls (False Discovery Rate (FDR) < 0.05 in ANOVA).…”
Section: Initial Expression Landscape Of Crcmentioning
confidence: 99%