AIM: To investigate alternative or subordinate pathways involved in colorectal tumorigenesis and tumor growth, possibly determining at-risk populations and predicting responses to treatment. METHODS: Using microarray gene-expression analysis, we analyzed patterns of gene expression relative to canonical molecular changes and clinicopathological features in 84 sporadic colorectal cancer patients, standardized by tumor location. Subsets of differentially expressed genes were confirmed by real-time reverse-transcript polymerase chain reaction (RT-PCR). RESULTS: The largest number of genes identified as being differentially expressed was by tumor location, and the next largest number by lymphovascular or neural invasion of tumor cells and by mismatch repair (MMR) defects. Amongst biological processes, the immune response was significantly implicated in entire molecular changes observed during colorectal tumorigenesis (P < 0.001). Amongst 47 differentially expressed genes, seven (PISD, NIBP, BAI2, STOML1, MRPL21, MRPL16, and MKKS) were newly found to correlate with tumorigenesis and tumor growth. Most location-associated molecular changes had distinct effects on gene expression, but the effects of the latter were sometimes contradictory. CONCLUSION: We show that several differentially expressed genes were associated with canonical molecular changes in sporadic colorectal cancers, possibly constituting alternative or subordinate pathways of tumorigenesis. As tumor location was the dominant factor influencing differential gene expression, location-specific analysis may identify location-associated pathways and enhance the accuracy of class prediction.
AIM: To investigate alternative or subordinate pathways involved in colorectal tumorigenesis and tumor growth, possibly determining at-risk populations and predicting responses to treatment. METHODS: Using microarray gene-expression analysis, we analyzed patterns of gene expression relative to canonical molecular changes and clinicopathological features in 84 sporadic colorectal cancerpatients, standardized by tumor location. Subsets of differentially expressed genes were confirmed by real-time reverse-transcript polymerase chain reaction (RT-PCR). RESULTS: The largest number of genes identified as being differentially expressed was by tumor location, and the next largest number by lymphovascular or neural invasion of tumor cells and by mismatch repair (MMR) defects. Amongst biological processes, the immune response was significantly implicated in entire molecular changes observed during colorectal tumorigenesis (P < 0.001). Amongst 47 differentially expressed genes, seven (PISD, NIBP, BAI2, STOML1, MRPL21, MRPL16, and MKKS) were newly found to correlate with tumorigenesis and tumor growth. Most location-associated molecular changes had distinct effects on gene expression, but the effects of the latter were sometimes contradictory. CONCLUSION: We show that several differentially expressed genes were associated with canonical molecular changes in sporadic colorectal cancers, possibly constituting alternative or subordinate pathways of tumorigenesis. As tumor location was the dominant factor influencing differential gene expression, location-specific analysis may identify location-associated pathways and enhance the accuracy of class prediction.
Authors: D L Stone; A Slavotinek; G G Bouffard; S Banerjee-Basu; A D Baxevanis; M Barr; L G Biesecker Journal: Nat Genet Date: 2000-05 Impact factor: 38.330
Authors: J M Michael-Robinson; A Biemer-Hüttmann; D M Purdie; M D Walsh; L A Simms; K G Biden; J P Young; B A Leggett; J R Jass; G L Radford-Smith Journal: Gut Date: 2001-03 Impact factor: 23.059
Authors: Gillian Smith; Francis A Carey; Julie Beattie; Murray J V Wilkie; Tracy J Lightfoot; Jonathan Coxhead; R Colin Garner; Robert J C Steele; C Roland Wolf Journal: Proc Natl Acad Sci U S A Date: 2002-07-01 Impact factor: 11.205
Authors: Chang Xu; Yan Liu; Pei Wang; Wenhong Fan; Tessa C Rue; Melissa P Upton; John R Houck; Pawadee Lohavanichbutr; David R Doody; Neal D Futran; Lue Ping Zhao; Stephen M Schwartz; Chu Chen; Eduardo Méndez Journal: Mol Cancer Date: 2010-06-11 Impact factor: 27.401
Authors: Yonggang Zhang; Shu Liu; Hong Wang; Wensheng Yang; Fang Li; Fan Yang; Daohai Yu; Frederick V Ramsey; George P Tuszyski; Wenhui Hu Journal: Oncotarget Date: 2015-03-20